Category: 3. Business

  • Air Canada flight attendants walk off job, picket lines set up at airports – Reuters

    1. Air Canada flight attendants walk off job, picket lines set up at airports  Reuters
    2. Air Canada strike: Hundreds of flights grounded as industrial action begins  BBC
    3. Air Canada travelers brace for impact: What to know if your flight is canceled  AP News
    4. Air Canada no longer wants to negotiate  Canadian Union of Public Employees
    5. Air Canada’s Flight Attendants Reject Call for Arbitration  The New York Times

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  • Creating Space for Ide-Cel and Finding Sequencing Options in Multiple Myeloma

    Creating Space for Ide-Cel and Finding Sequencing Options in Multiple Myeloma

    On a spring evening in Philadelphia, Pennsylvania, experts in multiple myeloma gathered to debate treatment options in the relapsed/refractory setting. The teams competed in 3 key areas: real-world updates, B-cell maturation antigen (BCMA) or chimeric antigen receptor (CAR) T-cell therapy sequencing, and patient cases.

    What is Face-Off? An educational program designed as a competition for teams to present to and against each other.

    How does it work? There are 3 rounds: data presentations, topics, and patient cases. During each round, both teams can present and defend their ideas and challenge the other team. The judge determines who is worthy of the top prize.

    Team Eagles on Real-World Ide-Cel Results

    Presented by Adam Binder, MD

    This real-world data set from the Center for International Blood and Marrow Transplant Research (CIBMTR) assessed patients with relapsed/refractory multiple myeloma.1 The data set compared the CIBMTR registry (n = 603) with results from the phase 2 KarMMa trial (NCT03361748; n = 128).2

    Between the registry and the trial, the patient characteristics included a median age of 65 years vs 61 years, with 26% vs not available for 70 years or older; 36% vs 26% had penta-refractory disease, and 5% vs 0% had received prior BCMA CAR T-cell therapy. Additionally, 17% vs 39% of patients in the CIBMTR registry and the KarMMa trial had extramedullary disease, 23% vs 35% had high-risk cytogenetics, 16% vs 16% had International Staging System stage III, and the median lines of prior therapy were 7 and 6, respectively.

    Efficacy outcomes included a 6-month progression-free survival (PFS) rate of 62% in the CIBMTR registry and a 6-month overall survival (OS) rate of 82%. In the KarMMa trial, the median PFS was 8.6 months, and the median OS was 24.8 months. The overall response rate (ORR) was 71% vs 73%, the very good partial response rate was 53% vs 52%, and the complete response rate or better was 27% vs 33%, respectively.

    Notably, cytokine release syndrome (CRS) occurred in 81% of patients in the CIBMTR registry and 84% in the KarMMa trial, with 3% and 5% having grade 3 or higher. Additionally, neurotoxicity was noted in 27% vs 18%, with 4% vs 3% having grade 3 or higher.

    A study by Ferreri et al assessed prior BCMA-targeted therapy and idecabtagene vicleucel (ide-cel; Abecma) use.3 For those with prior BCMA therapy, the ORR was 74%, and for those without it, the rate was 88%. Based on the type of prior BCMA therapy, the ORR for those given antibody-drug conjugates (ADCs) was 68%, 86% for those who received bispecifics, and 100% for those who were given CAR T-cell therapy.

    Thirty-eight patients received an ADC, mainly belantamab mafodotin-blmf (Blenrep), and 7 patients had not received a prior bispecific antibody.

    For those with prior BCMA therapy, the PFS was 3.2 months vs 9.0 months (P = .0002) for those without, and the OS was not reached vs 12.5 months (P = .005). For those given an ADC, the PFS was 3.2 months; those given bispecifics had a PFS of 2.8 months, and prior CAR T-cell therapy had a PFS that was not reached (P = .0004).

    Team Phillies on This Evidence

    Vogl / I was fascinated by the graph of the different types of prior therapies, because I would have expected the opposite––that patients who had [received] prior ADC with belantamab would probably have a good response to CAR T cells, whereas patients who had [received] a prior bispecific aimed at BCMA would be more likely to have a BCMA-negative relapse and therefore less response to CAR T cells.

    Binder / Looking at it initially, it is a little surprising, I agree. The details that aren’t here are how soon after these drug exposures, and did they get their CAR T products? Did it just so happen that they got belantamab right before CAR T, and that maybe would influence response rates? For some reason, there was a longer duration between bispecifics and CAR T therapy because we know the longer you’re off with BCMA-targeted therapy, that’s the predictor of response to CAR T. There wasn’t as much detail here to explain this.

    Varshavsky / It’s not surprising [about] the 68% [ORR] in the ADC cohort, but it was striking that this very small number of a total of 12 patients who got T-cell redirecting therapy did incredibly well. They were probably just lucky patients, and 2 received ide-cel, relapsed, received ide-cel again, and responded again. So that’s interesting.

    Vogl / If there’s any real takeaway from this real-world study, it’s that those PFS numbers are disappointing. The PFS in the registrational pivotal study was something like close to a year, but in this case, we’re not even seeing more than 9 months. I remember seeing the original ide-cel data from the KarMMa-1 trial, and thinking, “I don’t know if it would beat salvage [therapy]”. It’s just interesting that with BCMA CARs, there’s just such a wide range of responses. It’s different than the CD19 CARs, where there are all these different CD19 CARs out there with different designs and costimulatory domains, and they all work the same. In BCMA, you have some BCMA CARs that went into the clinic and had no responses. There was one…we brought in that had…so-so responses. Then you have ide-cel, which is in the middle, and then you have ciltacabtagene autoleucel [cilta-cel; Carvykti], which is extraordinary. No one has figured out why one works and the other doesn’t.

    The Phillies on KarMMa-3 Data

    Presented by Dan Vogl, MD, MSCE

    Patients with relapsed/refractory multiple myeloma who had received 2 to 4 prior regimens and were treated with either ide-cel or 1 of 5 standard therapies were enrolled in the phase 3 KarMMa-3 trial (NCT03651128).4 Select baseline characteristics included prior treatments, which included either an immunomodulatory agent (88% vs 94%), a proteasome inhibitor (74% vs 72%), or an anti-CD38 monoclonal antibody (95% vs 94%). The median time from diagnosis to screening was 4.1 years in the ide-cel group and 4.0 years in the standard of care group. Additionally, 65% vs 67% of patients had triple-class refractory disease, and 95% vs 93% had disease refractory to daratumumab.

    The final PFS analysis highlighted an 18-month PFS rate of 41% in the ide-cel arm vs 19% in the standard-of-care arm. The median PFS was 13.8 months and 4.4 months (HR, 0.49; 95% CI, 0.38-0.63).

    In the ide-cel arm, hematologic adverse effects (AEs) of any grade occurred in 90% of patients, grade 3/4 in 93%, and grade 5 in 14%. Any-grade nonhematologic AEs occurred in 58%, grade 3/4 in 24%, and grade 5 in 4%. In the standard regimen arm, any-grade hematologic AEs occurred in 98% of participants, grade 3/4 in 75%, and grade 5 in 6%. Any-grade nonhematologic AEs occurred in 54%, grade 3/4 in 18%, and grade 5 in 2%.

    Team Eagles Inspect KarMMa-3 Data

    Garfall / What’s interesting to me about KarMMa-3 is that you see a similar pattern with the phase 3 CARTITUDE-4 [NCT04181827] trial. If you look at the responses and duration of response with ide-cel in the third line of therapy and compare it with ide-cel in the sixth line of therapy in KarMMa-1, it looks the same. It doesn’t look like the CAR T cells are working dramatically better when you use them in an earlier line of therapy, which is surprising. All of us anticipated that maybe we would see some cures and plateaus if we use them earlier with healthier T cells, and maybe the cilta-cel to look a little bit better, just like antimyeloma therapy would look a little bit better in the early line of therapy. We’re not seeing that they’re working better when you use them in an earlier line of therapy.

    Binder / Keeping that in mind and looking at these curves and thinking about how the landscape of multiple myeloma has changed…, at what point are you thinking about CAR T vs bispecifics and then thinking about some of the newer bispecific data as well, and those PFS curves,…toxicity, and ease of access?

    Garfall / This trial also permitted crossover, which we hardly ever see in these types of trials. If you were on the control arm of the study, and you progressed, you could cross over to CAR T cells. Many patients in the control arm received CAR T cells in the next line of therapy. There was no difference in OS, which also informs our thinking about whether we should be rushing to give CAR T cells in the second line of therapy rather than the third or fourth line of therapy. It seems likely that your long-term survival is similar. It just gives you some reassurance that you don’t have to rush to give patients CAR T cells the minute they’re within the label. You can get them a next line of therapy and probably get the same long-term survival as when you’re talking about the risk of CAR T-cell therapy.

    Susanibar / You could do the opposite argument, right? Maybe it’s too late because the way we enrolled these patients on the clinical trial, they have to have progressive disease. The disease is growing already on the second to third line. You’re not doing these freezes when the T cells might be the healthiest because they have this growing burden of multiple myeloma that can cause immune dysfunction. There are a lot of benefits in more correlational studies. [The data from] these studies will [enable] us to interpret it and try to choose, right? What’s the fingerprint of the patient who can wait vs the patient who needs this treatment right away?

    Varshavsky / It’s a good point. We need to keep in mind that we need 1 more potential salvage, even for bridging, which we all like to look at these days. Also, bringing [us] back to the real-world analysis, you may think they would…do better because these patients didn’t have to wait for confirmed progression [and] didn’t have limitations in bridging therapy, but they did pretty much the same. We still don’t know which subgroup of patients benefits most from each strategy.

    Team Eagles on Bispecifics Before CAR T

    Presented by Asya Nina Varshavsky-Yanovsky, MD, PhD​

    Varshavsky / When I may want to do bispecific before CAR T is when a patient is presenting to me as [having] refractory [disease], not second line and not third line. They are coming with an exploding disease. I would love to do CAR T. It will take me 3 weeks to get the patient to gluconeogenesis, and it will take me another 5 weeks to get the patient the actual CAR T product delivered to me. In the meantime, I’m OK with giving selinexor [Xpovio]. In this situation, I am extremely happy that I have those wonderful off-the-shelf products. We are talking about BCMA bispecific. I have 2 wonderful off-the-shelf products [where] I can admit the patients on the same day, see them with their exploding [disease], and start the ramp-up [doses]. The time to first response to these drugs is 1 cycle. The time to best response is around 3 cycles. The toxicity––unlike CAR T, where we are worried about increased toxicities, increased CRS, increased immune effector cell–associated neurotoxicity syndrome, terrible cytopenia, and so on, in patients who have extremely high disease burden––[for the] bispecific does apply, but on a much lesser scale. The toxicities are much more manageable. I can take this patient and this expectation of overall response upwards of 60%. I can get them in a [good], but also deep response. At the end of it, I may keep them on this wonderful drug for as long as they’re responding, which [could] potentially be years. Or I can design a stop date and see [what happens]. This will still not take away my opportunity to do CAR Ts [in the] next line of therapy.

    Stadtmauer / Would you ever use a non-BCMA bispecific before doing a CAR T-cell therapy?

    Varshavsky / We are all worried about this type of sequencing with potential antigen loss, especially if we are continuing the bispecific through progression as opposed to doing preplanned debulking therapy and moving on to something else. We will not have this concern if we are using a GPRC5D bispecific. In terms of my choice of drug, there are many factors that will affect my choice of BCMA bispecific as opposed to GPRC5D bispecific. If I’m still dead set and getting this patient to BCMA CAR T sooner rather than later, I will offer a GPRC5D bispecific, like talquetamab-tgvs [Talvey]. We’ll plan CAR Ts [in the] next step. It will not take away all my concerns. It will take away my concerns about antigen loss. It will not necessarily take away my concern about T-cell fitness, T-cell exhaustion, or my ability to successfully collect and manufacture the CAR T product. If my goal is to get this very sick patient to CAR T with the hope of giving them this 3-plus years’ PFS from the CAR T, I will favor talquetamab. I will favor debulking and then some treatment holds and some treatment-free period in the hope of getting the T cells to their most functional state, followed by CAR T collection. I may just say, “OK, that’s a great line of therapy. Let’s ride it for as long as it works.” When we get there, we will plan CAR T all over again.

    Team Phillies on CAR T Before Bispecifics

    Presented by Sandra P. Susanibar-Adaniya, MD​

    Susanibar / When I treat patients with multiple myeloma, I want to help them live the longest, but with the best quality of life. The [average] patient with multiple myeloma is already in their late 60s, early 70s when they’re diagnosed. What I want for them is the treatment that has a high chance of being effective and can maintain a good quality of life for the longest time. We know that CAR T cell works in [older] patients over the age of 80 with renal failure and has proved to be equally efficacious. If you have a patient who is going to get 1 treatment, and then it’s done, and is 70 and can live the best life ahead of [them] for the next 3 or 4 years and then get a bispecific plus a very good response, why wouldn’t I choose to do that? The risk of infections in CAR T cells is limited, so it’s mostly in the first 3 months, but then it goes down. We have become very good at trying to identify which measures can decrease the infection. It’s that critical period of 3 months that they need more care from us, but then they can go to the community [to receive treatment], and when they go back to the clinic and tell you about their best life, they go on vacation, they’re enjoying the retirement, so they are doing well.

    The second thing for me is that you don’t know what’s going to happen later. These 3 years that they haven’t received therapy,…the landscape of multiple myeloma has changed so much in 3 years. You don’t know if they will benefit a lot from this limited- duration bispecific antibody. They get 3 years of treatment, then they get 6 months of bispecific, and then they get maybe…2 more years of treatment. They have this ability to live well.

    Then the other thing is the percentage of patients that need treatment because they cannot get to CAR T cells, now that we have the option to do it at second or third line, because it’s approved, it’s reduced. It’s less than 10% [of patients for whom] they did these extraordinary measures that we can do. Maybe we can do just a limited-time bispecific, but for most patients, the treatment that I would prefer is to do CAR T cells and then bispecific, if there are no other CAR T cells that will be approved for patients who have already progressed to CAR T cells.

    Binder / For exactly the reasons you said, bispecific before CAR T is perfect. Our goal is to get them to CAR T and maximize their quality of life and durability response. Using a bispecific, like a GPRC5D bispecific, as a holding or bridging phase in which you’re doing it, is an ideal place to use a drug like talquetamab and then get them to CAR T afterward. Because you decrease their disease burden, you minimize that GPRC5D toxicity by just giving a couple of doses. Then you bring them to CAR T afterward. You do bispecific before CAR T. Then, by decreasing their disease burden, you’re minimizing the toxicity that you may experience with CAR T if you try to bring them straight to CAR T without anything beforehand. You may even augment some T-cell activity by doing a bispecific with a different target before a BCMA-targeted CAR T, and then maybe even get a better PFS than you otherwise would have seen with better tolerability and overall better quality of life.

    Vogl / What you’re saying is applicable only to patients with incredibly high-risk or high-proliferative disease, where you’re going to be turning to a super-toxic drug like talquetamab for bridging therapy or before going to CAR T cells. For the vast majority of patients, you want to use a treatment that’s going to have the longest PFS, the best data on OS, first, especially because if you go to a CAR T cell first, your likelihood [is] that way down the line, the disease is going to relapse still with the same antigens intact and therefore have better responses to both BCMA, bispecific, GPRC5D, or FCRH5 bispecific whenever it finally gets approved. Those antigens, especially BCMA, are still likely to be there and have to relapse from CAR T, whereas if you go first to a BCMA bispecific, for instance, then you’re possibly leaving yourself without a great option afterwards. It’s only in the highest-risk patients, the patients where you don’t have the option, that you’re going to go to a bispecific first, whether it’s going to a BCMA bispecific because the patient needs something right this second, or using something like talquetamab as a bridging [therapy]. [For] most…patients, you’re going to want to do CAR T cells first.

    Team Eagles on Cilta-Cel Use

    Presented by Asya Nina Varshavsky-Yanovsky, MD, PhD​

    • A 70-year-old fit patient with standard-risk, triple-class–exposed relapsed/refractory multiple myeloma, naive to BCMA-targeted therapies, presents for treatment options.

    • After progressing on proteasome inhibitors, immunomodulatory drugs, and anti-CD38 monoclonal antibodies, the patient is eligible for cilta-cel therapy.

    • This therapy has shown an ORR of 97% and a median PFS of 34.9 months in BCMA-naive populations.​

    Stadtmauer / I want to know the detailed pathophysiology of the mechanisms and the underlying difference.

    Varshavsky / We had a very detailed and heated discussion of whether we want to expose patients when they are planning for BCMA and CAR T to BCMA bispecific, or if we even want to ever do BCMA and CAR T as opposed to BCMA bispecific. That points to prior BCMA exposure decreasing efficacy, including response rates and response duration to BCMA CAR T, and we should also keep in mind that this patient is 70 years old and fit, and potentially maybe less fit and older, if we delay CAR T to the next line of therapy at that time. There is a very strong argument for proceeding with cilta-cel in a patient who is 70 years old and fit, who right now seems to be a good candidate who can handle toxicity and can enjoy the 3 years of PFS as opposed to delaying it.

    Stadtmauer / Do we have enough data about the current practice of prior BCMA-targeted exposure?

    Garfall / I agree. The data on CAR T cells after prior BCMA-directed therapy are limited. Some of those papers we saw before were talking about [roughly] 7 patients who [received] a prior bispecific and then CAR T cells. The reason is that the more typical patient who [had] a bispecific first, say, on a clinical trial, is still in response. We still have a lot to learn about a typical patient who gets a prior BCMA bispecific, has a good response for a long time, and then progresses [to] what their outcomes are after CAR T-cell therapy. We’ll learn with time. The reason why we feel a lot more comfortable with the opposite sequence is more…that there’s been a much larger volume of reported experience of CAR T cells, and then bispecifics, just the nature of the timing of when these different trials were done. There was just a much larger experience with it so far.

    Team Phillies on Ide-Cel Use

    Presented by Dan Vogl, MD, MSCE

    • A 62-year-old patient with standard-risk, triple-class–exposed relapsed/refractory multiple myeloma presents after 3 prior lines of therapy failed, including proteasome inhibitors, immunomodulatory drugs, and anti-CD38 monoclonal antibodies.

    • The patient is fit and eligible for ide-cel therapy, demonstrating improved PFS (13.8 months vs 4.4 months with standard regimens) and a higher ORR (71% vs 42%) in this population​.

    Vogl / [Regarding] bridging therapy, this is something…we’ve [become] much better at than [what] we used to do on our clinical trials. I don’t even know what the rules were in the ide-cel trials, but in the cilta-cel trials, a lot of times, they had tremendous restrictions on bridging therapy. I guess we’re there to try to make it so that the CAR T cells would not appear better than they were by people getting amazing bridging therapy. We’re seeing that by using good bridging therapy, we can make it easier for people to get through the CAR T cells. We were having a theoretical discussion earlier about whether there is such a thing as too good bridging therapy, where there’s not enough antigen left for the CAR T cells. Maybe we’ll find that out someday, but so far, I don’t think we’ve seen that. Even more than that, in my clinical practice now, [I] treat patients first with something for relapsed/refractory multiple myeloma. Then, as they’re responding to therapy, that’s when I do my apheresis, and then continue the same regimen for bridging. It’s bringing the bridging therapy even before apheresis. That feels like it’s been an effective technique for making the whole process more manageable.

    Garfall / In some ways, the big value of having these available earlier has just improved the safety and feasibility. It’s no longer this ranked thing where you’re between scheduling the manufacturing and dealing with relapsed/refractory disease. It just feels very manageable now when you have a good bridging option open. Now that we have readily available manufacturing slots, it’s just a lot easier.

    Stadtmauer / We’ve forgotten, a couple of years ago, that we were so limited in the number of cilta-cel slots we had, and basically, we took whatever slot we could get; that was the choice of the product in some ways. Now that has been eliminated as a major barrier. I would say the only somewhat common barrier, and it’s less than 20%, but I would say there are some more manufacturing failures, or at least under specification, for cilta-cel that I’ve seen than ide-cel. Therefore, that…raises the question, if that occurs, do you keep trying to harvest more cells or do another manufacturing, or is that a reason to switch to ide-cel more quickly to get a patient moving along with a BCMA- directed CAR T-cell therapy? But in some ways, that has been my personal practice. The older patients, where I am concerned about the potential toxicity, and then the patients who have some manufacturing difficulty with cilta-cel, are my most common ide-cel uses.

    Garfall / The turnaround time for ide-cel is also a little faster than cilta-cel, which is nice. The cilta-cel specifications are very persnickety.

    Winner

    Team Eagles with 12 points

    Team Phillies with 8 points

    References

    1. Sidana S, Ahmed N, Akhtar OS, et al. Real world outcomes with idecabtagene vicleucel (ide-cel) CAR-T cell therapy for relapsed/refractory multiple myeloma. Blood. 2023;142(suppl 1):1027. doi:10.1182/blood-2023-181762
    2. Munshi NC, Anderson LD Jr, Shah N, et al. Idecabtagene vicleucel in relapsed and refractory multiple myeloma. N Engl J Med. 2021;384(8):705-716. doi:10.1056/NEJMoa2024850
    3. Ferreri CJ, Hildebrandt MAT, Hashmi H, et al. Real-world experience of patients with multiple myeloma receiving ide-cel after a prior BCMA-targeted therapy. Blood Cancer J. 2023;13(1):117. doi:10.1038/s41408-023-00886-8
    4. Rodriguez-Otero P, Ailawadhi S, Arnulf B, et al. Ide-cel or standard regimens in relapsed and refractory multiple myeloma. N Engl J Med. 2023;388(11):1002-1014. doi:10.1056/NEJMoa2213614

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  • Mohamed bin Zayed University of Artificial Intelligence begins new academic year with largest-ever cohort of 400+ students

    Mohamed bin Zayed University of Artificial Intelligence begins new academic year with largest-ever cohort of 400+ students

    ABU DHABI,UAE, Aug. 16, 2025 /PRNewswire/ — Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has welcomed its largest cohort for its Fall 2025 intake, enrolling 403 new students. This includes its inaugural undergraduate class, new graduate cohorts in existing programmes in Computer Science, Computer Vision, Machine Learning, Natural Language Processing, and Robotics, and the first intakes into the Master of Science in Statistics & Data Science and Master in Applied Artificial Intelligence.

    This semester received more than 8,000 applications across the university’s Bachelor and graduate programmes, yielding an acceptance rate of 5 per cent, and reinforcing the university’s prestigious position and ability to attract the best talent in the UAE and from around the world.

    Timothy Baldwin, MBZUAI Provost and Professor of Natural Language Processing, said: “This year, MBZUAI welcomes our largest cohort of graduate students alongside our inaugural undergraduate class. Artificial intelligence is transforming the world at a pace that vastly outstrips traditional education models. To realise its full global potential, MBZUAI invests heavily in reviewing and updating our programmes to reflect modern AI research methodology and workflows, based on our bleeding-edge AI research credentials and grounded in societal and industrial needs. As a young institution, MBZUAI has already earned a place among the world’s top 10 AI universities based on our research credentials. With the introduction of our undergraduate and Master’s in Applied AI programmes, we continue to build world-leading programmes aligned with the UAE’s National Strategy for AI 2031 and supporting Abu Dhabi’s rapidly growing AI ecosystem.”

    The newly launched Bachelor of Science in Artificial Intelligence programme offers two streams, AI for Business and AI for Engineering, combining technical rigor with leadership, hands-on entrepreneurship, and in-situ industry experience. The first class consists of 115 undergraduate students from more than 25 countries, over 25 per cent of which are UAE Nationals.

    Professor Baldwin said: “The jobs of tomorrow are being shaped by AI today and we must ensure that future generations are equipped with the tools and skills to navigate that shift. Our extraordinarily talented students don’t just learn about AI, but learn with it, through it, and for it. This is an extraordinary value proposition across all our programmes, but especially for our undergraduate students, who will be studying towards a bachelor’s degree in AI that I believe sets a new global benchmark in terms of technical depth, real-world relevance, and the high-end AI job-readiness of the students.”

    The key highlights for the Fall 2025 intake includes MBZUAI’s total student body totaling more than 700, representing over 47 nationalities.

    Nationalities represented in the undergraduate programmes are Bulgaria, China, Egypt, Georgia, Greece, India, Indonesia, Kazakhstan, the UAE and the UK. Postgraduate programmes bring together students from Canada, China, Egypt, France, India, Italy, Kazakhstan, Serbia, UAE, UK, USA and Vietnam.

    MBZUAI continues to attract exceptional students, with 151 of the incoming graduate students (27.5 per cent) holding degrees from the world’s top 100 computer science universities (CSRankings), including Cornell University, Tsinghua University, the University of Edinburgh, and the University of California, San Diego.

    In welcoming the new students, MBZUAI has begun its immersive Orientation Week, introducing new students to the university’s culture of academic excellence, AI-driven innovation, and community engagement. The programme combines academic sessions, mentorship activities, and cultural programming celebrating UAE heritage and life in Abu Dhabi. Highlights include the Orientation Mini Fair, where internal and external partners showcase resources for academic success, career development, and student life.

    Orientation Week is designed to foster a strong sense of belonging and connection, laying the foundation for academic success and life-changing university experiences.

    For more information, visit www.mbzuai.ac.ae 

    Media Contact:
    Noorul Tharola
    [email protected]
    +971567436637

    SOURCE Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

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  • How safe are cruise-ship water slides? A recent incident on a Royal Caribbean sailing begs the question.

    How safe are cruise-ship water slides? A recent incident on a Royal Caribbean sailing begs the question.

    By Charles Passy

    The slides are an increasingly popular attraction on many of the mega vessels operated by cruise lines.

    Like many cruise ships, Royal Caribbean’s Icon of the Seas features water slides as one of its prime attractions.

    Should you think twice about taking a ride down that water slide on your next cruise?

    That’s what some may be asking in light of the news that a passenger was injured on a slide aboard Royal Caribbean’s Icon of the Seas ship earlier in August. The aftermath of the scene was captured on video, with fellow passengers reacting in horror as water gushed out of a hole in the attraction. “Stop the slide,” yelled one.

    According to reports and a statement from Royal Caribbean (RCL), the passenger did not fall through the hole, but was nevertheless injured when a piece of acrylic glass broke off from the slide. Icon of the Seas, which can hold up to 7,600 passengers plus crew, was dubbed the largest cruise ship in the world when it launched in 2024.

    But the Icon of the Seas incident is far from the only one to have happened on cruise-ship slides, which have become increasingly common features on many of the mega-sized vessels operated by numerous lines. Attorneys whose firms have represented clients in cases against cruise lines say the slides are often not designed ideally for the ships, given the relatively tight spaces they have to fit into versus land-based water slides.

    And that’s on top of the fact a ship is constantly moving, which can put additional stress on the slides, they say.

    “There’s really a degradation of materials at a much faster pace,” said Jason Margulies, a personal-injury lawyer with Lipcon, Margulies & Winkleman, P.A., a Florida-based firm that specializes in maritime and cruise ship cases.

    Margulies’ firm is representing the unnamed passenger involved in the Icon of the Seas incident. In a statement, Alex Perez, another attorney with the firm, said: “Cruise ships have a responsibility to ensure that the attractions they open and encourage passengers to use are safe…Our client and his family are dealing with the catastrophic injuries suffered in this preventable incident, and have requested privacy in order to heal.”

    Royal Caribbean said it does not comment on pending legal matters. Shortly after the Icon of the Seas incident, the company said, “The guest is being treated for his injuries. The water slide is closed for the remainder of the sailing pending an investigation.”

    Other incidents involving cruise-ship slides include a 2015 one aboard the Carnival Cruise Line (CCL) Ecstasy ship that resulted in a lawsuit filed by Margulies and another attorney. In the filing, they wrote that the passenger involved was severely injured due to a variety of issues, including the cruise line failing to “properly configure the waterslide,” failing to have “sufficient assistance for passengers to safely exit the waterslide” and failing to have “sufficient water pressure on the waterslide.”

    According to court records, the case went to mediation and was settled. In a statement about the incident, Carnival said: “We have a dedicated engineering and maintenance team that works closely on the design, construction and upkeep of our water slides and other such recreational structures, including training for our onboard teams as they conduct frequent inspections and routine maintenance, and consulting with other shoreside attractions operators on best practices.”

    “I’m looking at this and going, ‘Where was the preventative maintenance?’”Royce D’Orazio, a former amusement-park ride technician

    A 2022 incident aboard a Norwegian Cruise Line (NCLH) ship involved a passenger getting stuck on a slide, as captured on a TikTok video that received hundreds of thousands of views as well as numerous comments. “I’m having a panic attack just watching this,” one commenter said.

    The passenger was able to eventually exit the slide, according to a report. Norwegian Cruise Line did not respond to a MarketWatch request for comment about the incident.

    Failures with slides are likely not only a result of the aforementioned issues, according to Royce D’Orazio, a former amusement-park ride technician who’s now a content creator. He says the incidents often speak to an upkeep problem.

    “I’m looking at this and going, ‘Where was the preventative maintenance?’” he said of the recent Royal Caribbean incident in particular.

    D’Orazio also says operational issues can contribute to a slide breakdown. For example, a slide might have a weight restriction for individuals to ensure it isn’t tested beyond its structural limits. But staff has to be mindful of that matter and not let certain individuals go through it.

    Of course, incidents with water slides can occur at land-based water parks – and sometimes do, including ones that result in death.

    Still, D’Orazio and others point out that land-based water parks in the U.S. are typically subject to state regulations that require regular inspection of attractions.

    When it comes to cruise ships – at least those that travel in U.S. waters – the U.S. Coast Guard has authority to ensure safety compliance. But a Coast Guard spokesperson said the agency is “not responsible for water slide or other entertainment equipment inspections on cruise ships.”

    That means the issue is often left to the cruise lines, says Jason Turchin, a Florida attorney who has also handled cases involving ships. “The burden lies solely with the lines to make sure rides are up to the standards of the manufacturer,” he said.

    Not that any of this may deter the vast majority of cruise-ship passengers, who readily enjoy the ever-increasing array of amenities that are offered onboard these days without injury. The industry is seeing high demand of late, with 34.6 million passengers boarding ships in 2024 – an increase of 9.3% over the prior year, according to Cruise Lines International Association (CLIA), a trade group.

    CLIA didn’t respond to a MarketWatch request for comment about issues regarding water slides.

    Melissa Newman, a regular cruise-ship passenger who also shares content about her travels online, says she isn’t overly worried about safety issues when it comes to onboard attractions and rides. There’s too much at stake for the ship operators to take the matter lightly, she observes.

    “I’m not terribly concerned because I know that their fear of massive reputational damage from even one tragedy is enough to keep cruise lines vigilant, even without the stricter oversight they’d face on land,” Newman said.

    -Charles Passy

    This content was created by MarketWatch, which is operated by Dow Jones & Co. MarketWatch is published independently from Dow Jones Newswires and The Wall Street Journal.

    (END) Dow Jones Newswires

    08-16-25 0941ET

    Copyright (c) 2025 Dow Jones & Company, Inc.

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  • A novel holistic metric for sustainability assessment of photovoltaic/battery systems

    A novel holistic metric for sustainability assessment of photovoltaic/battery systems

    In this section, the results of each sustainability metric are individually analysed to examine the dynamics of battery performance, PV power generation, and load behavior. Finally, the holistic metric is evaluated to provide a comprehensive overview of the cases studied and their overall resilience.

    Battery sustainability index (BSI)

    In this study, the BSI was designed to provide a computationally tractable representation of battery health by quantifying SOC excursions and cycling frequency via weightings supported by degradation trends in the literature12,20. While this formulation captures the operational stress imposed on batteries, it does not include detailed electrochemical models such as Rainflow Counting or calendar aging estimation. For example, in Berlin, the BSI highlighted more frequent low-SOC events—reflecting deeper discharge cycles—which are known to accelerate degradation in both NMC and LFP batteries. These findings are consistent with trends reported in experimental investigations on hybrid energy storage, such as in24, where lithium-ion battery degradation was significantly affected by real-world fluctuations in renewable energy output. The incorporation of such empirical modelling approaches and hybrid storage configurations will be a natural extension of this work, particularly to bridge the gap between operational patterns and electrochemical wear.

    The SOC is maintained above the minimum threshold of 20% for most of the operational hours, as set by HOMER. However, the frequency and duration of excursions below the safe operating range vary significantly across locations (see Fig. 3). The SOCSI is calculated for all the study cases, as shown in Table 2.

    For Cairo (a), the SOC profile indicates that the battery spends most of the year at or near full capacity (100% SOC). This suggests an oversized energy storage system, where PV generation consistently exceeds demand. The frequent operation at full SOC may indicate underutilization of the system’s capacity and potential for optimization to reduce oversizing.

    For Berlin (b), the SOC profile shows more variation, with periods of SOC decreasing closer to the 20% threshold. However, the battery generally maintains the SOC within the safe range for a significant portion of the year. The balanced performance reflects a system that is reasonably well sized, although there may still be occasional mismatches between PV generation and demand.

    For Riyadh (c), the SOC profile demonstrates the most consistent behavior, with the SOC remaining stable and within the safe range for most of the operational hours. The battery rarely exists at critical levels, which reflects effective PV generation and proper system sizing suited to Riyadh’s high solar irradiance.

    The evaluation of the BSI and SOCSI over the three years (2017–2019) reveals significant differences in battery performance due to regional variations in solar energy availability, operational dynamics, and battery sizing, as shown in Table 3.

    Table 3 Battery sustainability Indices.
    Fig. 3

    Comparison of state-of-charge (SOC) behavior across Cairo, Berlin, and Riyadh for 2017, illustrating the temporal dynamics and variability influenced by regional solar conditions and battery management.

    Table 4 SOC quantitative indicators.

    Although Fig. 3 provides insight into the SOC behavior over time, the SOC pattern is highly dynamic and influenced by several interdependent variables, including load demand fluctuations, solar radiation variability, and autonomy configuration. As such, determining the long-term sustainability or degradation risk of a battery on the basis of SOC plots or average values alone may lead to ambiguous conclusions. This complexity highlights the necessity of developing a comprehensive metric that encapsulates not only SOC trends but also their implications for battery longevity and system resilience.

    Table 4 presents quantitative indicators of battery SOC behavior across three distinct locations (Cairo, Berlin, and Riyadh) over three years, including the average SOC, standard deviation, and cumulative time the battery operated outside the optimal SOC window. The results reveal significant spatial and temporal variations in battery operating patterns. For example, Cairo presented relatively high average SOC values (72.3–82.7%) with decreasing standard deviations over time (32.1–11.9%), reflecting tighter SOC control but frequent exposure to high SOC levels that risk accelerated degradation. Conversely, Berlin’s SOC remained generally lower (56.4–63.4%), yet with consistently high variability (approximately 34%), indicating less consistent SOC management. Riyadh displayed a stable average SOC (approximately 70%) and moderate standard deviation (≈ 20%), suggesting relatively balanced operation.

    The SOCSI results reveal significant differences in battery performance across the studied locations, highlighting the importance of optimizing battery autonomy on the basis of regional solar conditions. In Cairo, an oversized PV system designed to provide one full day of autonomy consistently results in lower SOCSI values. This is because the system generates more power than the load demand does, causing the battery to remain near its maximum SOC for most of the year. While this setup reduces deep discharges, it limits the battery’s cycling within the optimal SOC range, resulting in less dynamic operation and higher degradation risks. Therefore, despite ensuring a reliable energy supply, Cairo’s battery system operates suboptimally in terms of long-term viability, with the BSI reflecting this imbalance between autonomy and SOC management.

    However, these conventional statistical measures (mean and standard deviation) fail to capture critical aspects of battery sustainability. For example, both Berlin 2017 and Cairo 2017 show similar standard deviations (33.8% vs. 32.1%), yet the time spent outside the safe SOC range differs drastically (3461 h vs. 5408 h). This illustrates that traditional statistics provide limited insight into the actual stress imposed on a battery. The unsafe time metric highlights these hidden risks, emphasizing the need for a composite index such as the BSI, which integrates both the frequency and severity of SOC deviations alongside cycling behavior. The BSI thus offers a more meaningful and actionable indicator of battery health, supporting informed decisions about system operation and maintenance planning.

    In contrast, Berlin experiences higher SOCSI values due to limited solar energy, which requires the battery to operate within a narrow SOC range. The battery spends much of the year at the lower SOC limit of 20%, especially in colder climates. However, the system’s ability to maintain this low SOC range leads to better resilience in terms of cycle life. Berlin’s higher BSI indicates a more favourable balance between cycling frequency and SOC management than does Cairo, where the oversized system limits cycling dynamics.

    Riyadh benefits from consistently high solar availability, leading to more balanced and dynamic battery operation. The battery in Riyadh operates within the optimal SOC range more frequently, which promotes both longevity and reduced degradation. Riyadh’s high BSI values underscore its more sustainable battery performance, attributed to its optimal balance between SOC stability and efficient cycling.

    The results emphasize the need for location-specific battery operation strategies. In Cairo, the oversized PV system should be optimized to avoid excessive SOC levels, as one day of autonomy is excessive for such sustainable high solar radiation. Conversely, in Berlin and Riyadh, one day of autonomy is more appropriate given the limited solar availability and consistent solar conditions, respectively. These findings highlight that autonomy should be carefully adjusted to local solar power performance, optimizing both battery performance and long-term viability across diverse environmental contexts.

    To assess how different degradation mechanisms or battery chemistries influence the BSI, a sensitivity study was conducted where the weights were varied as follows:

    • Scenario A SOC-dominant scenario (ω₁ = 0.7, ω₂ = 0.3).

    • Scenario B Base case (ω₁ = 0.6, ω₂ = 0.4).

    • Scenario C Equal contribution (ω₁ = 0.5, ω₂ = 0.5).

    • Scenario D Cycle dominant (ω₁ = 0.4, ω₂ = 0.6).

    Table 5 BSI values under each scenario.

    As shown in Table 5, the analysis demonstrates that BSI is responsive to changes in degradation emphasis. For example, in Cairo in 2017, the BSI increased by more than 30% between the SOC-dominant (0.556) and cycle-dominant (0.730) scenarios. This variability highlights the importance of selecting appropriate weights to reflect the actual degradation mechanisms relevant to battery technology and the usage profile.

    Lithium-ion chemistries such as NMC, which are widely used in advanced systems, are highly sensitive to SOC-related degradation, justifying higher SOCSI weightings (e.g., ω₁ = 0.6–0.7). In contrast, chemistries such as LFP or future solid-state batteries, which exhibit greater tolerance to high SOC, may benefit from recalibrated weights with greater emphasis on cycling. Similarly, systems with high-frequency shallow cycling may prioritize the cycle term to better capture wear patterns.

    This flexibility enhances the applicability of BSI across diverse technologies and operating conditions. The sensitivity results also reinforce the need for careful, data-driven selection of weights rather than arbitrary choices, ensuring that the index meaningfully reflects the sustainability of the battery system.

    PV power behavior

    Figure 4 shows the daily ratio of served load to PV energy for three cities, i.e., Cairo, Berlin, and Riyadh, over 2017. Cairo consistently has a stable ratio below 1, indicating that PV energy production generally exceeds the load throughout the year. This pattern reflects the effective sizing of the PV system and favourable solar conditions, which minimize seasonal variability and ensure consistent energy availability. Berlin, in contrast, demonstrated significant fluctuations in the ratio, with multiple peaks exceeding 1. These spikes indicate periods where the served load surpasses PV energy production, particularly during winter months with lower solar irradiance. This variability highlights the challenges of relying solely on PV systems in regions with significant seasonal changes in solar availability, necessitating greater reliance on storage. Riyadh displays a pattern similar to that of Cairo, with ratios below 1 for most of the year, although it experiences slightly more variability. Occasional peaks suggest short-term mismatches between PV energy generation and load, but the overall stability reflects Riyadh’s high solar irradiance and well-sized PV system.

    Fig. 4
    figure 4

    Comparison of the daily ratio of served load to PV energy across Cairo, Berlin, and Riyadh for 2017, showing regional differences in PV system performance and load matching.

    Table 6 summarizes the ERE values for the three locations over three years. The ERE evaluates the PV system’s reliability in delivering energy to meet load demands by calculating the average fraction of daily PV-generated energy utilized effectively. Cairo’s ERE values, ranging from 0.55 to 0.63, indicate a consistent and reliable energy supply where PV production typically exceeds load requirements. This reflects a surplus of PV energy, which is effectively utilized to serve the load, minimizing reliance on storage.

    Although Berlin has the lowest solar irradiance among the three locations, it presented the highest ERE value in 2017 (0.878). This outcome is attributed not to higher energy availability but to better alignment between the PV system output and the local load profile, resulting in more efficient utilization of the available PV energy. The relatively moderate and consistent load demand in Berlin allows a larger portion of the PV-generated energy to be consumed directly, thereby increasing the ERE despite limited solar resources.

    The fluctuation in Berlin’s ERE values across the years, particularly the noticeable drop in 2018 (0.732), can be attributed to seasonal variations in irradiance, which affect the degree of mismatch between generation and load. Unlike Cairo, where PV generation often exceeds load requirements year-round, Berlin’s performance is more sensitive to annual solar variability. These differences highlight the importance of system design and regional climate in determining the effective utilization of PV energy.

    Riyadh has an ERE of approximately 0.74, indicating a well-balanced system where PV energy production and load demands align effectively. The consistency of these values highlights Riyadh’s stable solar resources and effective system sizing, which ensures high reliability in energy delivery across all three years. These observations emphasize the importance of tailoring PV systems and energy management strategies to specific regional conditions to optimize reliability and performance.

    Table 6 Energy reliability efficiency.

    These year-over-year trends underscore the importance of location-specific PV system design and energy management. While Cairo and Riyadh show consistent reliability, Berlin’s variability suggests the need for more robust storage or adaptive load management in regions with less predictable solar patterns.

    Load behavior

    The weighting factor was set to 3 during peak demand hours (08:00–16:00), where the load reached 200 kW, and 1 during other hours. This reflects periods of highest grid stress and system vulnerability, ensuring that the PDM metric prioritizes demand-matching performance during operationally critical times.

    Cairo consistently has high weighted PDM values throughout the study period, with most values remaining above 0.6, as shown in Fig. 5-a. This indicates a well-balanced energy supply and demand, particularly during both peak and off-peak hours. The solar resource availability in Cairo, coupled with an effective EMS, supports stable performance.

    Berlin shows a more volatile weighted PDM profile with frequent dips below 0.5 (see Fig. 5-b). This suggests challenges in meeting energy demand, particularly during peak load periods. The lower solar irradiance in Berlin likely impacts the PV performance, and the peak load weight (ω = 3) accentuates this mismatch during high-demand periods.

    Riyadh’s weighted PDM values are relatively stable, remaining consistently above 0.5, with fewer extreme dips than those in Berlin. The region benefits from strong solar resources, enabling good performance, as shown in Fig. 5-c. However, occasional drops indicate periods of higher unmet loads, possibly during peak load periods or extreme weather conditions. Table 4 provides further insight into the long-term performance of the metric.

    Cairo achieves the highest average PDM across all years. This reflects effective solar PV and EMS practices that ensure a balance between load demand and energy supply. Berlin consistently has the lowest PDM values, highlighting the impact of reduced solar resource availability. Seasonal fluctuations and the higher weight assigned to peak loads exacerbate the challenges in matching energy demand. Riyadh exhibits strong performance, with PDM values close to those of Cairo, as shown in Table 7. Its stable solar irradiance supports effective load balancing, although minor dips indicate areas for improvement in peak load management.

    Fig. 5
    figure 5

    Comparison of the weighted peak demand matching (PDM) metric across Cairo, Berlin, and Riyadh for 2017, reflecting system performance under variable load weighting during peak and off-peak hours.

    Holistic sustainability index

    Fig. 6
    figure 6

    Comparison of BSI, ERE, and PDM metrics for Cairo, Berlin, and Riyadh, illustrating differences in battery sustainability, energy reliability, and demand matching performance across the cities.

    The radar chart, shown in Fig. 6, effectively highlights the comparative sustainability performance of Cairo, Berlin, and Riyadh across average values of three key metrics: BSI, ERE, and PDM. Riyadh has the strongest overall sustainability profile, leading to both BSI (0.81) and ERE (0.75), indicating robust battery longevity and efficient energy reliability (see Figure y). Cairo has a relatively high PDM score (0.78), reflecting excellent load matching performance, although its lower BSI (0.66) and ERE (0.60) suggest potential oversizing issues and opportunities for optimizing battery cycling and system efficiency. Berlin, while exhibiting the highest ERE (0.80), has the lowest PDM (0.53), indicating challenges in demand matching, likely due to variable solar availability and seasonal load fluctuations. The intermediate BSI value (0.72) for Berlin indicates moderate battery performance but suggests that system flexibility improvements, such as hybrid storage or renewable diversification, could further enhance sustainability. Overall, the radar chart underscores the distinct trade-offs in system design and operational efficiency among cities, emphasizing the need for tailored strategies to improve sustainability metrics on the basis of regional characteristics.

    The final HM values for the three locations, i.e., Cairo, Berlin, and Riyadh, over three years are presented in Table 8.

    Table 8 Holistic sustainability results.

    The results of the HM analysis provide insights into the performance of the locations studied over three years. Riyadh achieves the highest HM values across all years, reflecting its optimal balance between battery performance, energy utilization, and load-matching efficiency. Its high solar availability ensures that the battery operates within the optimal SOC range more frequently, promoting longevity while maintaining efficient energy conversion and demand matching.

    Berlin has moderate HM values because of its efficient cycling dynamics and relatively strong energy utilization ERE. However, its limited solar availability requires the battery to operate near the lower SOC range for extended periods, increasing stress and degradation risks. While Berlin’s energy management strategy effectively maximizes energy utilization under constrained conditions, improving battery stress management could enhance its overall performance.

    Cairo, despite benefiting from an oversized PV system that ensures a reliable energy supply, records comparatively lower HM values. The oversized system results in prolonged periods of high SOC, reducing cycling dynamics and leading to inefficiencies in energy utilization and load matching. Adjusting the system design to better align with local demand patterns and solar availability could significantly improve the performance of Cairo’s HM.

    The contrasting system behaviors observed in Cairo and Berlin highlight the need for region-specific optimization strategies. Cairo’s oversized PV system ensures high reliability but leads to suboptimal battery cycling, which lowers the overall HM by underutilizing the battery and potentially reducing its lifespan. Conversely, Berlin’s smaller PV capacity results in greater battery stress due to increased cycling but achieves a higher ERE because of more effective energy utilization. To improve system performance, it is recommended that Cairo’s battery capacity be optimized to increase battery cycling and extend battery longevity. For Berlin, integrating hybrid renewable energy systems, such as combining wind power with PV, could reduce battery stress while maintaining energy reliability. Future work will explore these hybrid configurations to further enhance system flexibility, resilience, and sustainability across diverse climatic regions.

    The HM advances beyond traditional reliability-based indices such as the LMI by incorporating a multidimensional assessment of PV-battery system performance. Unlike the LMI, which primarily evaluates how well the load demand is met, the HM integrates the BSI, ERE, and PDM into a unified framework. This integration allows the HM to capture operational inefficiencies and long-term degradation risks that the LMI tends to overlook. A clear example is observed in the Cairo case, where the LMI indicated acceptable reliability performance due to high load coverage, yet the HM revealed a lower score of 0.66, indicating an oversizing issue and excessive battery cycling. This demonstrates HM’s ability to detect subtle but critical design flaws, offering a more insightful evaluation tool for system designers aiming to balance performance, longevity, and reliability.

    These findings reinforce the importance of adopting a holistic approach to sustainability assessment, as the interaction between battery performance, energy utilization, and load matching varies significantly across locations. The proposed HM framework effectively captures these interactions, offering actionable insights for optimizing system design and operation to maximize resilience across diverse environmental and operational contexts.

    Economic assessment of PV-battery systems

    To enhance the practical relevance of the proposed HM, this section presents a basic economic analysis focused on the levelized cost of energy (LCOE) and battery replacement scheduling. The analysis links sustainability indicators, such as the BSI, to cost performance, highlighting the economic benefits of improved system design (Table 9).

    Table 9 Economic assumptions and parameters.

    Levelized cost of energy (LCOE)

    The LCOE is calculated as:

    $${text{LCOE }} = {text{ }}Sigma {text{ }}left( {{text{C}}_{{text{t}}} /left( {{text{1 }} + {text{ r}}} right)^{{text{t}}} } right)/Sigma {text{ }}left( {{text{E}}_{{text{t}}} /left( {{text{1 }} + {text{ r}}} right)^{{text{t}}} } right)$$

    where Ct is the cost in year t (capital, replacement, O&M), Et is the energy delivered to load in year, r is the discount rate (6%) and T is the project lifetime (25 years).

    The battery replacement time

    The battery replacement time in this study was estimated by linking the BSI results, which reflect the combined effects of SOC stability and cycle usage, to the expected consumption of the battery’s rated cycle life. To link the proposed BSI to battery economic life, we assume a linear relationship between the BSI and the replacement time. This is based on the premise that optimal SOC management and reduced cycling stress, reflected in higher BSI values, enable the battery to approach its maximum potential lifespan. For lithium-ion batteries, a typical maximum calendar life of 15 years is assumed under ideal operating conditions. Thus, the battery replacement time is estimated as:

    $$T_{{replace}} = 15 times BSI$$

    When this method is applied, the estimated battery replacement times for Cairo, Berlin, and Riyadh are approximately 9, 13, and 14 years, respectively. These estimates align with practical expectations for lithium-ion battery deployments in well-managed off-grid systems. This approach integrates the technical sustainability analysis with economic planning by translating the BSI into an expected replacement timeline. The economic analysis conservatively assumes a minimum of one replacement during a standard 25-year system lifetime to reflect calendar aging and real-world degradation mechanisms. This integration of sustainability results with replacement scheduling ensures that the proposed metric not only assesses technical health but also informs practical cost planning.

    Table 10 Economic analysis results.

    As shown in Table 10, this basic cost analysis reveals that systems with better battery sustainability (high BSI) not only perform better technically but also reduce long-term costs. In particular,

    By linking HM to LCOE and the replacement frequency, this study provides a comprehensive view of both the technical and economic performance.

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  • ‘A structural dependence on heavy industry’: can South Korea wean itself off fossil fuels? | Environment

    ‘A structural dependence on heavy industry’: can South Korea wean itself off fossil fuels? | Environment


    South Korea’s vital statistics

    On a cool early morning on South Korea’s east coast, Eunbin Kang pointed to a monument to a vanishing era.

    The 2.1GW Samcheok Blue power plant which came online in South Korea in January looms out of the headlands above a beach made internationally famous by a K-pop album shoot. It is expected to emit 13m tonnes of CO2 annually, while its lifespan could stretch beyond 2050, the year by which the country has pledged to reach carbon neutrality. The country was building coal-fired power plants, said Kang, an activist who heads the Youth Climate Emergency Action group and relocated to this city to oppose the facility, “even as the climate emergency demands an immediate halt to fossil fuel expansion”.

    But Samcheok is not an outlier. It is a symbol of the stark climate contradiction at the heart of the world’s 12th largest economy, celebrated for its technological prowess in semiconductors and electric vehicle batteries, yet among the top ten worst global climate performers.

    Despite South Korea’s impressive climate pledges to reach net zero by 2050 with a 40% reduction in emissions from 2018 levels by 2030, fossil fuels still dominate its energy mix: 60% of electricity comes from coal and gas, while renewables make up just 9%, a quarter of the OECD average of 34%.

    The Samcheok Blue power plant, expected to emit 13m tonnes of CO2 annually. Photograph: Bloomberg/Getty Images

    Monopoly strangling transition

    At the heart of South Korea’s climate failure is an energy model based on a state monopoly and central planning. Korea Electric Power Corporation (Kepco), the state-owned energy company, controls transmission, distribution and retail, while its subsidiaries dominate generation, creating structural challenges for competitors. These include Korea South-East Power, Korea Western Power and four other generation subsidiaries that together operate the vast majority of the country’s coal, gas and nuclear power plants.

    Meanwhile, renewable energy developers face an obstacle course of regulatory barriers. Until recently, windfarm developers had to obtain 28 different permits from multiple ministries in a bureaucratic maze which created years of delays and significantly increased project costs, making many otherwise viable developments financially unfeasible. Progress was made in early 2025 with the passage of a long-awaited bill aimed at streamlining approvals, although the law won’t take effect until 2026.

    Grid connection remains another hurdle. While electricity demand has grown by 98% over the past two decades, the transmission network has expanded by just 26%, but attempts to expand the grid have led to bitter local conflicts.

    In Miryang, South Gyeongsang province, the government tried to compel residents to sell up to clear space for transmission towers and people faced violent crackdowns during a six-year standoff. Currently, a dozen such projects are stalled in the country.

    K-pop fans in Samcheok with banners calling for an end to the power plant owing to its negative impact on the environment. Photograph: Bloomberg/Getty Images
    Protest banners against the Samcheok Blue were erected at Maengbang Beach, which residents fear will be ruined by the plant. Photograph: Bloomberg/Getty Images

    In February 2025, the National Assembly passed a Power Grid Special Act aimed at expanding transmission. But civic groups warn the law reinforces the country’s decades-old top-down model of infrastructure development, removing what few safeguards remained around public consultation and environmental review.

    “We fully acknowledge that renewable energy transition requires transmission lines,” says Kim Jeong-jin from Friends of the Earth in Dangjin, where one project faced more than 10 years of delays due to local opposition. “But the repeated conflicts arise because the electricity is not even for local use, yet it causes damage to our region without any regard for our voices.”

    The country’s energy strategy is guided by the Basic Plan for Electricity Supply and Demand, a 15-year forecast revised every two years. But the framework, which dates back to the 1960s, still prioritises centralised, large-scale power generation – a model built for coal and nuclear, and fundamentally incompatible with today’s decentralised, flexible renewable technologies.

    Graphic

    Political volatility worsens the problem. Each five-year presidential term brings a policy reversal. For instance, in 2017, President Moon Jae-in announced a nuclear phase-out; his successor, the now disgraced ex-president Yoon Suk Yeol, reversed course five years later. This whiplash undermines any long-term planning for renewables – a problem faced by democracies around the world.

    The consequences are stark. After Russia’s invasion of Ukraine sent fossil fuel prices soaring, Kepco incurred enormous losses. In 2022 alone, South Korea faced an extra 22tn won (£11.9 bn) in LNG power costs. Yet the government kept electricity prices artificially low, a political choice that pushed Kepco’s debt to a staggering 205tn won (£111bn) by 2024.

    The former president Yoon Suk Yeol reversed the plan to phase out nuclear. Photograph: Anthony Wallace/AFP/Getty Images

    Despite this crisis, meaningful reform remains elusive. This entrenched monopoly system has effectively blocked the clean energy transition, with independent renewable producers struggling to gain meaningful access to a market dominated by fossil fuel interests.

    Carbon-intensive by design

    More broadly, South Korea’s postwar rise relied on energy-intensive industries: steel, petrochemicals, shipbuilding and semiconductors.

    “This structural dependency on heavy and chemical industries makes the energy transition extraordinarily difficult,” says Park Sangin, a professor of economics at Seoul National University. “These industries are deeply embedded in the country’s economic fabric and require vast amounts of stable, cheap electricity.”

    Powerful chaebols, or family-controlled conglomerates like Posco, Samsung and Hyundai, exert outsized influence on national policy. Their operations are supported by an electricity market designed for industrial stability, not climate mitigation.

    The Hyundai shipyard in Ulsan, South Korea. Conglomerates exert outsized influence on national policy. Photograph: Bloomberg/Getty Images

    And the problem isn’t just domestic; South Korea also finances and provides the infrastructure for fossil fuels globally. South Korean shipbuilders dominate the global market for LNG carriers. Public financial institutions also bankroll overseas fossil fuel projects.

    One that was recently approved, the Coral Norte gas project in Mozambique, is projected to emit 489m tonnes of CO2 across its lifecycle. At the same time, South Korea has emerged as one of the world’s top importers of Russian fossil fuels, even as other nations cut ties.

    “This financing directly contradicts [South] Korea’s climate targets and makes a mockery of the Paris Agreement,” says Dongjae Oh, the head of the gas team at Solutions for Our Climate (SFOC). “It exposes the country’s hypocrisy – adopting climate targets at home while funding climate destruction abroad.”

    Even climate-friendly institutions continue backing fossil fuels. The National Pension Service (NPS), one of the world’s largest pension funds, remains a major investor in coal and gas projects, despite a 2021 “coal-free” declaration. Three and a half years after this announcement, NPS only finalised its coal divestment strategy in December 2024, with a timeline that will delay implementation for domestic assets until 2030.

    Wolsong nuclear power plant in Gyeongju, South Korea. The country’s national energy plan still prioritises coal and nuclear power. Photograph: Bloomberg/Getty Images
    Smoke rises from an industrial complex in Ulsan. South Korea’s largest polluters made over 475bn won from selling unused carbon credits. Photograph: Bloomberg/Getty Images

    Meanwhile, South Korea’s market-based climate policies have failed to drive meaningful change. The emissions trading scheme (K-ETS) was supposed to put a price on carbon when it launched in 2015.

    But the system, which hands out free allowances to the largest companies, has instead created perverse incentives, according to campaign group Plan 1.5. The group carried out an analysis and found that South Korea’s 10 largest polluters have made over 475bn won (£258bn) from selling unused carbon credits between 2015 and 2022. The system that was meant to make polluters pay has instead rewarded them.

    Next generation fights back

    There is growing awareness of a climate crisis as the country begins to experience increasingly severe weather. In 2023 46 people died in floods that displaced thousands. More recently, torrential rains have again caused at least 26 deaths, followed by a record-breaking heatwave.

    In March this year devastating wildfires swept across more than 48,000 hectares (118,610 acres) – roughly 80% of the area of Seoul – killing 31 people and destroying thousands of homes. The country’s disaster chief described the situation as “a climate crisis unlike anything we’ve experienced before”.

    The prime minister, Kim Min-seok, has described the climate crisis as “the new normal”.

    An excavator on a barge near the site of the port under construction for Samcheok Blue. The country has described the climate crisis as like ‘nothing we’ve experienced before’. Photograph: Bloomberg/Getty Images

    Now a new generation of South Koreans is challenging the status quo through legal action. In February, a group of children gathered outside Posco’s office in Seoul. Among them was 11-year-old Yoohyun Kim, the youngest plaintiff in a groundbreaking lawsuit against Posco.

    The case aims to block the company’s plan to reline an old coal-fired blast furnace, a move that would extend its life by 15 years and emit an estimated 137m tonnes of CO2.

    “I came here during my precious winter break, my last as an elementary school student, because I want to protect all four seasons,” Yoohyun told supporters. “Spring and autumn are disappearing with climate change – and with them, the chance for children like me to play freely outside.”

    The lawsuit is the first of its kind globally to target traditional blast furnace production. It follows a crucial ruling by South Korea’s constitutional court last August which found that the government’s climate policies violated the rights of future generations by failing to set legally binding targets for 2031-50.

    In March, residents and activists filed another suit over the government’s approval of the world’s largest semiconductor cluster in Yongin, backed by a 360tn won (£195bn) Samsung investment. The suit argues that the project’s 10GW electricity demand and new LNG plants contradict climate regulations and corporate sustainability commitments.

    A Kepco employee at work. The company is state-owned and has created structural problems for competitors. Photograph: Bloomberg/Getty Images

    Kim Jeongduk, an activist from Political Mamas who participated in protests against the Samcheok Blue plant with her child, sees this as a generational struggle.

    “Growing up in Pohang, I saw smokestacks fill the sky on my way to school every day. My throat would hurt from fine dust, and iron particles would collect on our windowsills,” she recalls.

    “Adults always said: ‘Thanks to Posco, our region survives.’ I don’t want my child to grow up with that same false choice between a healthy environment and economic survival.”

    The international data shows that South Korea’s emissions peaked in 2018, and have been falling, with a brief jump after Covid, ever since. The government maintains that it is making progress on its climate goals, although critics argue that it is relying on some wonky calculations around its 2030 emission reduction target, confusing net with gross emissions.

    “South Korea is actively pursuing bold reduction of coal power generation through prohibiting new permits for coal power plants and phasing out ageing facilities,” the ministry said in a statement, arguing that any remaining coal plants operating beyond 2050, such as those approved before the 2021 ban, would be addressed through “carbon capture and storage technology and clean fuel conversion” in a way “not inconsistent with our carbon neutrality commitment”.

    But independent analysis suggests these measures fall well short. “The Basic Plan has no specific plan for how to expand renewable energy,” says Prof Park. “There are vague targets, but no timeline, no locations. In stark contrast, the nuclear roadmap is extremely detailed and specific.”

    His recent research using the Global Change Assessment Model shows the current plan would fall short of meeting South Korea’s 2030 emissions targets by approximately 6-7%.

    A more ambitious policy focused on offshore wind expansion and a complete phase-out of coal by 2035 could not only meet climate goals but reduce power sector emissions by 82% by 2035.

    Operations – ready-mixed concrete towers – at Ulsan port. Experts say there are no plans for the country to develop renewable. Photograph: Bloomberg/Getty Images

    When confronted with criticisms of its emissions accounting, South Korea’s environment ministry defended its approach: “Our emissions reduction target calculation method considers international regulations and major country cases. Countries like Japan and Canada use similar calculation methods for their 2030 NDCs,” a spokesperson said.

    The ministry added that although previous targets used the older 1996 IPCC guidelines, from 2024 they have begun using the updated 2006 standards for national greenhouse gas statistics.

    Back in Samcheok, Eunbin Kang looks out at the coal plant that now dominates the coastal landscape.

    “I dream of a society where exploitation and plunder are replaced by decentralisation and autonomy,” she says. “I want to contribute to spreading lifestyles and policies that allow everyone to lead a good life without requiring a lot of electricity or money.”

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  • Synergistic effects of commensals and phage predation in suppressing colonization by pathogenic Vibrio parahaemolyticus

    Synergistic effects of commensals and phage predation in suppressing colonization by pathogenic Vibrio parahaemolyticus

    Commensal intestinal bacteria can protect shrimp from the pathogenic Vibrio infection

    To investigate the role of commensal bacteria in protecting shrimp from pathogenic Vibrio infections, we reconstructed a simplified, yet ecologically representative, version of the shrimp gut microbiota in vitro. Based on V3-V4 of 16S rRNA gene amplicon sequencing from healthy shrimp in our previous work19, we identified four dominant bacterial phyla including Proteobacteria, Bacteroidetes, Firmicutes, and Actinobacteria. From these groups, we curated a panel of twelve cultivable strains, each isolated from the healthy individual gut and taxonomically classified via whole-genome sequencing (see Methods) (Supplementary Table 1). These isolates formed a synthetic consortium, which we termed “Com12”, designed to capture key ecological and functional diversity of the native microbiota.

    To examine interactions between commensal and pathogenic bacteria, we conducted in vitro co-culture experiments with Com12 consortium and two Vibrio strains: one pathogenic (Vibrio parahaemolyticus strain VP6) and one putatively beneficial (Vibrio spp. VA3). Initially, taxonomic characterization of these two Vibrio strains was performed via whole-genome sequencing, and phenotypic classification was based on the presence of virulence-associated genes and mortality assays. Genome annotation revealed that VP6 carries the pirAB toxin gene, whereas VA3 lacks this virulence determinant, a finding further confirmed by genetic analysis (Supplementary Fig. 1). Infection experiments demonstrated that VP6 induced significant mortality and vibriosis-specific symptoms, yet shrimp exposed to VA3 exhibited no detectable difference in survival relative to the control group (Fig. 1a, Supplementary Fig. 2). Co-culture experiments further revealed that both Vibrio strains significantly altered the structure of the Com12 consortium, with each strain becoming dominant within the microbial community (Supplementary Fig. 3). Notably, VA3 exhibited a distinct growth advantage over VP6 in Com12, suggesting it may competitively inhibit VP6 colonization.

    Fig. 1: Characterization of commensal and pathogenic Vibrio strain in shrimp.

    a Experimental design schematic. In the invasion assay (left), shrimp maintained under standard aquaculture conditions were exposed to pathogen V. parahaemolyticus VP6 or commensal Vibrio VA3. In the alternative invasion assay (right), shrimp pretreated with antibiotic cocktail (see “Methods“) and were randomized into groups with different bacterial strains in seawater containing (i) Com12 strains, (ii) individual strains, or (iii) combinatorial treatments with the pathogen (VP6). b Survival rate curves of shrimp exposed to Vibrio strains (VP6 and VA3). Fresh bacterial cultures (5 × 10^6 CFU/mL) were added to the shrimp (n = 20 per group) housing water. Untreated shrimp served as control. Black dashed lines indicate median survival. Statistics: log-rank test (P < 0.0001). c Survival rate curves of antibiotic-treated shrimp (n = 20 per group). Groups: Control (antibiotics only), VP6 (antibiotic-treated shrimp exposed to VP6), VP6+Com12 group (antibiotic-treated shrimp exposed to VP6 and the Com12 consortium), and VP6+Com12 + VA3 group (antibiotic-treated shrimp exposed to VP6, the Com12 consortium and VA3). Black dashed lines indicate median survival. Statistics: log-rank test (P values shown or P < 0.0001).

    To further assess the protective role of VA3, we pretreated shrimp with antibiotics to minimize the native microbiota and subsequently recolonized some individuals with the Com12 consortium, −+ VA3, at a concentration of 5 × 10^6 CFU/mL, a dosage informed by previous studies20,21. All shrimp were then challenged with VP6 (5 × 10^6 CFU/mL). By day 5, the VP6-only group exhibited 100% mortality (Fig. 1b). In contrast, both the Com12 + VA3 and Com12-only groups showed increased survival, with the former achieving a significantly higher survival rate (69%) compared to the Com12-only group (49%, P < 0.05; Fig. 1b). These results highlight the role of VA3 in enhancing the Com12-based resistance to VP6 infection. However, further investigations are needed to determine whether VA3 alone is sufficient to confer protection in the absence of Com12 − an open question that warrants deeper exploration in future studies.

    In addition, to explore the potential of phage therapy in augmenting microbiota-mediated colonization resistance, we isolated an obligate lytic myovirus, VP6phageC, using VP6 as the host (Supplementary Fig. 4a, b). The host range of VP6phageC was assessed against each monospecies within the Com12 consortium, including VA3, using phage infection assays22. As expected, VP6phageC failed to form plaques on any Com12 members and VA3 (Supplementary Table 2), confirming its strict specificity for VP6. This specificity makes VP6phageC as a promising candidate for investigating whether a combined approach—leveraging phage predation alongside microbiota modulation, can further enhance shrimp defenses against VP6 colonization.

    Commensal bacteria and phage can supress Vibrio pathogen growth

    To investigate the interplay between commensal bacteria and phage in resisting Vibrio pathogen invasion, we employed the Com12 consortium as a model system to simulate pathogen invasion in vitro and evaluate the combined effects of commensal-derived colonization resistance and phage predation. These experiments were performed on a 96-well microplate platform, using time-resolved measurements of mono-species to track the dynamic changes over 48-h period (Fig. 2a, see “Methods”).

    Fig. 2: Temporal dynamics of the synthetic Com12 consortium composition under different treatments.
    figure 2

    a Schematic of the in vitro experimental design to stimulate pathogen invasion. The phylogenetically diverse Com12 consortium (12 species) was constructed with approximatedly equal initial optical densities (OD600). Relative abundance was assessed via V4-16S rRNA gene sequencing (see “Methods”). In invasion assays, VP6 culture was added at 1:1 ratio to Com12. Samples were collected at 0 h, 2 h, 6 h, 12 h, 24 h, 36 h, and 48 h post-invasion for sequencing. b Temporal dynamics of the Com12 strains, unexposed (left) versus exposed (right) to VP6. Stacked plots show strain-level relative abundance over time (y-axis: % abundance, x-axis: hours). Unless otherwise noted, data represent the mean of three biological replicates per condition (also apply to the panel c). c Temporal dynamics of Com12 strains exposed to pathogen VP6 and additional treatments: +VA3 (left), +Phage (center), and +VA3 and Phage (right). Plot shows strains-level relative abundance over time induced by individual or combined interventions. d Correlation between the community diversity (Shannon index) and VP6 abundance over time. Relationship between temporal changes in community diversity dynamics within the Com12 consortium and VP6 abundance at 2, 6, 12, 24, 36, and 48 h. Linear regression analysis was used to evaluation correlations between the dynamics of overall community diversity within the Com12 consortium and VP6 abundance, with R-square and P values (from two-sided ttests on regression coefficients) provided for each treatment: +VA3 (left), +Phage (center), and +VA3 and Phage (right). Colored circles represent data from different time points. Solid gray lines represent fitted correlations from linear regression (VP6 abundance ~ Shannon diversity + group), see “Methods”). Statistics: two-sided ttest.

    Commensal-mediated resistance was evaluated by co-culturing Com12 and Com12 + VA3 with VP6 and monitoring strain abundance over time. VP6 rapidly dominated Com12, reaching 70% relative abundance within 6 h before stabilizing (Fig. 2b). However, the presence of VA3 significantly restricted VP6 expansion, limiting its abundance to 15%. Phage addition further suppressed VP6 to 5%, and the combination of VA3 and phage nearly eliminated VP6, reducing its abundance to less than 1% (Fig. 2c).

    Further analysis of the co-culture dynamics revealed significant shifts in both bacterial abundance and overall community diversity. The introduction of VA3, phage, or their combination led to a marked reduced in VP6 abundance, accompanied by increased abundance of other strains within the Com12 consortium (Fig. 2d). To explore how VP6 suppression relates to overall community structure and community diversity, we performed linear regression analyses between the relative abundance of VP6 and community diversity, measured using the Shannon index. Importantly, the diversity metric included all community members, including VA3 and VP6, to reflect the total ecological outcome under each treatment condition. In the VA3-only treatment, the correlation between VP6 abundance and diversity was weak and statistically non-significant (R-square = 0.03, F-statistics = 0.51, P = 0.486). In contrast, phage treatment showed a positive correlation with diversity (R-square = 0.60, F-statistics = 24.30, P < 0.001). When VA3 and phage were combined, while the correlation between VP6 abundance and diversity was reduced, the positive relationship between diversity and pathogen suppression was maintained (R-square = 0.68, F-statistics = 33.30, P < 0.001) (Fig. 2d).

    These results demonstrate that while Com12 alone impose a threshold on VP6 colonization, VA3 and phage act as potent inhibitors, with their combined application synergistically enhance colonization resistance. Importantly, phage contributed to increase microbial diversity, whereas VA3 appears to influence pathogen abundance without directly altering diversity, suggesting complementary mechanisms in pathogen exclusion. Together, these results underscore the potential of integrating commensals and phages as strategy to fortify maintaining microbiome stability and prevent pathogen invasion.

    Timing of commensal and phage administration is critial for effective colonization resistance

    In our study of the Com12 consortium, we identified a priority effect that influenced pathogen invasion, particularly when VP6 was introduced at different stages of Com12 growth. To evaluate how phage treatment could restore the consortium’s resistance following VP6 invasion, we reconducted co-culture experiments where Com12 was exposed to VP6, and VP6phageC (MOI = 1) was introduced at various time points (see “Methods”). Our findings indicated that the timing of phage introduction significantly affected its efficacy (Fig. 3a). More specifically, when VP6 was co-cultured with Com12 for 6 h or more before the addition of phage, the suppressive effect of the phage was notably diminished, with VP6 relative abundance surged to 70% of the community, suggesting that phage-mediated suppression was less effective after this time window (Fig. 3b). A comparison of absolute VP6 concentrations using copy numbers (unless otherwise specified) in the consortium further corroborated this observation, showing a marginal but not statistically significant reduction in VP6 when phage was added after 6 h (P > 0.05) (Fig. 3c). These results suggested that the efficacy of phage treatment is compromised once VP6 has had a chance to establish itself within the consortium for an extended period.

    Fig. 3: Timing-dependent efficacy of combinatorial interventions against pathogen VP6 invasion.
    figure 3

    a Schematic of the in vitro experimental design modeling pathogen invasion in commensal consortium. Phage lysate (1:1 ratio, MOI = 1) was introduced to the Com12 consortium at specified timepoints. Samples were collected at 0 h, 2 h, 6 h, 12 h, 24 h, 36 h, and 48 h for sequencing. E.coli MG1655 (3.65 × 10^6 CFU) served as an interior marker (see “Methods”). b Temporal abundance dynamics of Com12 strains following pathogen VP6 exposure, with phage introduced at specific time points. Phage addition times are indicated above each subplot (also apply to panels d and f). Unless otherwise noted, data represent the mean of three biological replicates per condition (also apply to panels d and f). c Temporal quantification dynamics of Com12 strains following pathogen VP6 exposure, with phage introduced at specific time points. Data points represent Com12 strains (salmon) and VP6 (cyan) concentrations at indicated intervals (also applies to panels e and g). Box plots show the interquartile range with the median indicated by in line. Individual data points represent biological replicates measured at multiple time points (n = 3 per time point). Statistics: Tukey’s HSD test (NS, P > 0.05; *P < 0.01; ***P < 0.0001); only non-significant group comparison are shown. This format also applies to panels (e and g). d Temporal abundance dynamics of Com12 strains following pathogen VP6 exposure, with VA3 pretreatment and timed phage addition. e Temporal quantification dynamics of Com12 strains following pathogen VP6 exposure, with VA3 pretreatment and timed phage addition. Data points represent Com12 strains (salmon) and VP6 (cyan) concentrations at indicated intervals. f Temporal abundance dynamics of Com12 strains with timed pathogen VP6 introduction. g Temporal quantification dynamics of Com12 strains with timed pathogen VP6 introduction. Data points represent Com12 strains (salmon) and VP6 concentrations (cyan) at indicated intervals.

    Next, we explored the potential for combining certain commensal species with phage-specific predation to further bolster colonization resistance. Specifically, we assessed the effects of introducing commensal VA3, alongside the lytic phage VP6phageC. In these experiments, VA3 was introduced into Com12 consortium following VP6 invasion, with concurrent VP6phageC treatment. Monitoring of the consortium dynamics revealed significant inhibition of VP6 by this combined treatment. While VA3 alone significantly reduced the relative abundance of VP6 to 15% and its biomass to 5×10^7 CFU/mL within 48 h (Fig. 2c), the combined treatment of VA3 and VP6phageC further amplified this inhibitory effect. In this dual intervention, VP6 proliferation was almost entirely eradicated, with its relative abundance dropping below 1% and biomass reduced to less than 1 × 10^6 CFU/mL (Fig. 3d, e). Even when phage was introduced after a 6-h delay, both VP6 relative abundance and biomass remained significantly lower compared to treatments using either VA3 or phage alone (P < 0.001) (Fig. 3d, e). These results underscore that although phage-mediated pathogen suppression is highly time-dependent, its effectiveness can be synergistically enhanced when combined with commensal bacteria such as VA3, which together provide robust colonization resistance and protect the microbiota from pathogen invasion.

    To further investigate whether the Com12 consortium itself possesses intrinsic, self-regulated resistance to pathogen invasion, we conducted an additional experiment by introducing VP6 at various stages of Com12 growth. Relative abundance analyses revealed a notable difference in outcomes depending on the timing of VP6 introduction. When VP6 was co-cultured with Com12 from the start (0 h), it quickly dominated the consortium as reflected in its high relative abundance and biomass (Fig. 2b, upper right). In contrast, when VP6 was introduced after 2 h of Com12 growth, its proliferation was irreversibly inhibited, with VP6’s absolute concentration falling to less than 1 × 10^5 CFU/mL, and its relative abundance dropped below 1% (Fig. 3f, g).

    Overall, these findings underscore a crucial, timing-dependent trait of colonization resistance within the consortium, suggesting that early establishment of the commensal consortium provided a robust barrier against pathogen invasion, emphasizing the importance of microbial community maturation. Conversely, when the pathogen was allowed to establish dominance before the consortium had fully matured, the protective capacity was significantly compromised.

    Commensal bacteria supress pathogen by nutrient competition and prophage induction

    To explore the potential mechanisms underlying the observed colonization resistance in above co-culturing experiments (Figs. 2, 3), we investigated pairwise interactions among members of the consortium Com12, including V. parahaemolyticus (VP6) and Vibrio spp.(VA3), using a conditional coculturing approach23. In this experiment, each species was grown in cell-free spent media collected from other species, supplemented with 60% full-nutrient Marine Broth (2216MB). This experimental design eliminated direct cell-cell contact as a potential mechanism for colonization resistance, allowing us to focus solely on metabolic-mediated interactions.

    Analysis of the growth rate and maximum biomass (OD600) of each species grown in spent media from other community members versus self-derived media revealed a negative correlation, although the absolute correlation index was less than 1 (Estimate = -0.51, R-square = 0.12, F-statistic = 13.13, P = 2.57e–06) (Fig. 4a, left; Supplementary Fig. 5). This suggests that most interspecies interaction were inhibitory, albeit the extent of inhibition primarily affected total biomass rather than growth rate. When examining the effects of other species in Com12 on VP6, we observed a similar inhibitory trend, but with a stronger negative correlation (Estimate = –1.31, R-square = 0.54, F-statistic = 23.60, P = 0.004) (Fig. 4a, right). Ranking the effects of others on VP6 showed that the inhibitory effects were largely mediated by VA3, particularly when considering growth rate independently of biomass (Fig. 4a, right).

    Fig. 4: Characterization of the interactions between commensals, VP6 and VA3.
    figure 4

    a Growth interference analysis. Scatter plots correlate maximum biomass and growth rate ratios for strains grown in self- versus cross-spent media. More specifically, a strain grown in the spent medium of b exhibited growth rate (Rs) and maximum biomass (Kms), while growth in its own spent medium resulted in growth rate (Ro) and maximum biomass (Kmo). Data are plotted as [ln (Kmo/Kms)] on the x-axis and [ln (Ro/Rs)] on the y-axis. Left: Interactions among commensals, VP6 and VA3 (two-sided t-test; regression line: y = -0.51x+b). Right: Effects of individual commensals within the Com12 consortium and VA3 on VP6 growth (two-sided t-test; regression line: y = -1.3x+b). Solid blue lines indicate linear regression fits; dashed gray lines represent 1:1 reference lines. Linear correlations between the maximum biomass ratio [ln (Kmo/Kms)] and growth rate ratio [ln (Ro/Rs)] are shown with corresponding P values. The position of VA3 is indicated with a red arrow. Statistics: two-sided ttest. b Metabolic pathway-level genomic redundancy. Heatmap shows gene family similarity across Com12, VA3 and VP6. Values are scaled to total genes per family. c Growth competition assay. VA3 and VP6 were co-cultured at equal initial OD600 concentrations. Strain concentration was quantified via morphology-discriminant plating on selective agar plates. Box plots show the interquartile range with the median indicated by in line. Individual data points represent biological replicates (n = 3). d Prophage induction under nutrient stress (Minimal Medium, SM condition). The prophage Vpp2 genome is shown. Transmission electron microscopy (TEM) of Vpp2 virion reveals a filamentous inoviridae phage. Scale bar: 200 nm. Prophage Vpp2 excision quantification by qPCR in SM condition medium (e) or spent medium (f). In panel (e), “Full” refers to VP6 cultured in 2216 marine broth (2216MB). Dashed lines (in e and f) indicated the baseline(y = 1). Statistics (e and f): two-tailed Student’s ttest (NS, P > 0.05; ***P < 0.0001). Bar plots show the mean relative level of prophage excision, with individual data points representing biological replicates. g In vivo protection efficacy of Com12 strains and VA3 on shrimp survival against VP6 exposure. Antibiotic-pretreated shrimp (n = 20 per group) were immersed in cultures of individual strain (5 × 10^6 CFU/mL) for 2 days, prior to VP6 exposure. Survival rates were assessed on day 5. NC (negative control): shrimp treated with antibiotics only. PC (positive control): shrimp exposed to VP6 following antibiotic treatment. The dashed line represents the survival rate of shrimp in the positive control group. Bar plots show the mean survival rate for each treatment group, with individual data points representing biological replicates. Statistics: two-tailed Student’s ttest (NS, P > 0.05; *P < 0.01; ***P < 0.0001).

    To further explore the interactions underlying these observations, we employed genome-scale metabolic modeling to assess the functional similarity between VP6 and each member of Com12, including VA3, based on protein composition overlap. Specifically, we quantified the proportion of protein families carried by VP6 that were also shared in each commensal (see “Methods”). Our results highlight that VA3, Rueg, and Tena as key contributors to protein-family overlap with VP6, suggesting their potential role in shaping VP6’s growth dynamics by nutrient competition (Fig. 4b). Notably, VA3, belonging to the same bacterial genus as VP6, exhibited the highest degree of overlap, reinforcing its potential for strong competitive interactions.

    To experimentally validate the pairwise interaction between VA3 and VP6, we conducted direct growth competition assays, in which a 1:1 mixture of VA3 and VP6 cells was co-cultured in nutrient-rich medium (2216MB) for 48 h, alongside monoculture controls. VA3 displayed robust growth, achieving cell densities comparable to its monoculture controls (P = 0.52) (Fig. 4c). In contrast, VP6 growth was severely impaired in the presence of VA3, with its cell density significantly reduced by 2- to 8-fold (P = 0.004) during the 48-h competition period (Fig. 4c). Furthermore, VA3 consistently outcompeted VP6 in both total biomass (0.97 vs 0.75) and growth rate (0.13 vs 0.10, by hour) (Fig. 4c, Supplementary Fig. 6). Together, these results align with the suppression observed in Com12 upon the introduction of VA3 (Figs. 2, 3), reinforcing the notion that VA3 inhibits VP6 proliferation. The observed suppression appears to be primarily due to nutrient competition, particularly the overlap in nutrient utilization between the two strains.

    A recent study revealed that prophages in Vibrio strains are inducible and play critical roles in strain competition within marine environments24. Inspired by this, we identified two intact prophages in the genome of Vibrio VP6. Under nutrient-limited conditions, one prophage was highly induced, as evidenced by increased read depth in its corresponding genomic region (Fig. 4d). Transmission electron microscopy (TEM) of the filtered supernatant confirmed the presence of filamentous phage particles characteristic of Inoviruses, measuring approximately 1,800–2,000 nm in length and 5 nm in width (Fig. 4d, upper panel). The genome of this phage, termed Vpp2, closely resembled that of filamentous phages based on its size (10,298 bp) and gene annotation (Fig. 4d, lower panel).

    To investigate the role of prophage Vpp2 in microbiota interaction, we assessed its induction in conditioned media from 13 donor strains, using media from VP6 as a control. Vpp2 production increased in all conditioned media except that from Deme (Fig. 4e, f). When nutrient-deficient SM buffer was used, Vpp2 production also increased, indicating that nutrient limitation is a key trigger for its activation (Fig. 4e). Co-culturing VP6 with VA3 or Com12 separately revealed continuous induction of Vpp2 over 48 h with VA3, whereas the induction was less pronounced with Com12 (Supplementary Fig. 7). Together, these findings indicate that both Com12 and commensal VA3 promote prophage induction in VP6, with VA3 exhibiting the most robust effect. This induction likely involves nutrient competition, which activates a stress response in VP6, suggesting that prophage activation may be part of a broader ecological strategy that influences the growth dynamics of VP6.

    Synergistic interaction of commensal microbes and phage confers colonization resistance against pathogenic Vibrio in shrimp

    The dynamics of the Com12 consortium, −+VA3, revealed that individual strains contribute variably to colonization resistance against pathogen invasion, with some strains playing more pivotal roles. To evaluate the protective capacity of each commensal, we further assessed shrimp survival following exposure to pathogen VP6 (Fig. 4g). Shrimp were pretreated with antibiotics as before (Fig. 2g) to minimize the influence of indigenous bacteria and then immersed in cultures of each strain (5×10^6 CFU/mL) or combinations, including Com12 and VA3, prior to VP6 exposure. With this assay system, we could rank the strains based on their abilities to protect shrimp from VP6 infection. Shrimp survival rates were significantly higher when pretreated with VA3 ( ~ 69.0%), Psyc ( ~ 44.0%), Rueg ( ~ 43.0%), or Halo ( ~ 38.0%) compared to the positive control group exposed only to VP6 ( ~ 23.0%). Other strains showed insufficient or adverse effects on survival.

    To evaluate whether the subset consortium comprising VA3, Psyc, Rueg, and Halo (Com4) could protect shrimp from VP6 infection and whether this protective effect could be enhanced by phage addition within the complex intestinal microbiome, we let shrimp be colonized with Com4 (5×10^6 CFU/mL per strain) before exposing to VP6 (5×10^6 CFU/mL) (Fig. 5a). Then, the shrimp were maintained under standard aquaculture conditions and fed daily with phage ( ~ 10^9 PFU/g) throughout the experiment. Successful colonization by VP6 causes an acute infection over a five-day period with white hepatopancreas and empty digestive tracts (Supplementary Fig. 8), which is a typical symptom of vibriosis25,26, whereas shrimp with Com4 could rapidly succumb to the infection.

    Fig. 5: Synergistic effects of phage and commensal strains on intestinal microbiota and VP6 in shrimp.
    figure 5

    a Experimental diagram for in vivo intervention. Shrimp were pre-treated with Com4 (5×10^6 CFU/mL per strain) and phage for 2 days prior to VP6 challenge. Phage-supplemented feed was supplied daily( ~ 10^9 PFU/g). Shrimp samples were collected on days 1, 3, and 5 after VP6 exposure, and aquatic water samples were collected daily. b Survival rates of shrimp over 5 days. Groups: NC(untreated); PC (VP6 only); Phage (phage+VP6); Com4+phage (VP6+Com4+phage). Statistics: log-rank test (P < 0.0001). Group sizes were equal (n = 50). Median survival is indicated by black dashed lines. VP6 quantification in aquatic water (c) and in shrimp intestine (d) samples. VP6 quantification was measured by counting colonies on selective TCBS plates. Data are presented as log10 CFU per mL for aquatic water samples and log10 CFU per g for intestinal samples. Points represent the geometric means ± SD (n = 3 ~ 6) at different time points. Intestinal samples were collected on days 3 and 5 (n = 3 ~ 6). In panel (d), statistics: two-tailed Student’s ttest (NS, P > 0.05; ***P < 0.0001). Individual data points represent biological replicates. e Phage susceptibility of VP6 isolates from the shrimp intestine. Percentage of phage-sensitive VP6 colonies (n = 10) from shrimp samples (n = 3) at days 1, 3, 5, 7, and 9 post-teatment. Bars = mean ± SD. Individual data points represent biological replicates. Statitics: pairwise Wilcox test with adjusted P value (NS, not significant, P > 0.05; ***P < 0.0001). f Alpha diversity of the shrimp intestinal microbiome at days 1, 3 and 5 post-infections, assessed using the Shannon index based on bacterial OTUs ( > 97% similarity). Box plots show the interquartile range with the median indicated by in line. Individual data points represent biological replicates (n = 3 ~ 12). Statistics: pairwise Wilcox tests with adjusted P value (NS, not significant, P > 0.05; ***P < 0.0001). g Relative abundance of VP6 and the Com4 strains in the shrimp intestinal samples within different treatment groups based on 16S rRNA gene sequences.

    While mortality occurred across all groups following VP6 exposure, the cumulative survival rate of shrimp in the Com4-phage treatment group significantly increased to 58% (P < 0.001) compared to >20% in the VP6-only challenge group (Positive control) (Fig. 5b). The survival rate in the Com4-phage group was also notably higher than in the phage-only treatment group, confirming in vitro findings (Fig. 3) that the combination of commensal bacteria and phage more effectively inhibits VP6 invasion.

    In addition, both the phage and the Com4-phage treatments effectively suppressed VP6 colonization in the aquatic environment. Plate counting assays revealed that VP6 became nearly under detectable in water surrounding the shrimp after three days in the Com4-phage treatment group, whereas similar suppression was observed only on the fifth day in the phage-only group (Fig. 5c). Quantitative analysis of VP6 in shrimp intestinal samples collected on day 3 and 5 showed a similar trend: VP6 abundance significantly decreased by over 90% in both treatment groups compared to the positive group (Fig. 5d).

    Interestingly, the phage (VP6phageC) and its susceptible Vibrio target (VP6) coexisted in the shrimp intestine of the phage-only treatment group. While most Vibrio strains isolated from gut samples remained susceptible to the wild type phage (Supplementary Fig. 9), the observed increased in phage particles alongside a decrease in Vibrio load suggests that phage-mediated suppression of VP6 was effective but limited within the intestinal environment.

    To investigate the effects of the treatment on the shrimp gut microbiome, samples were collected at three time points for further analysis. Alpha diversity, as measured by the Shannon index, decreased in the positive control group but increased in the phage-only and Com4-phage treatment groups (Fig. 5f). Characterization of the microbiome revealed that both Com4 strains and VP6 successfully colonized the shrimp gut (Fig. 5g). Importantly, the relative abundance of VP6 was significantly lower in the Com4-phage treatment group compared to the positive control group and phage-only groups, demonstrating superior pathogen resistance and microbiome recovery in the Com4-phage treatment group.

    A ternary plot of bacterial OTUs in shrimp gut samples demonstrated that the four commensal strains, in combination with phage predation, effectively suppressed VP6 colonization (Supplementary Fig. 10). These findings suggest that Com4 strains provide substantial resistance to pathogen colonization in the shrimp gut, complementing the inhibitory effects of phage. Co-occurrence network analysis of the gut microbiomes in the Com4-phage group revealed positive interactions between VP6 and other Vibrio species, including VA3 (Supplementary Fig. 11) This suggests that VP6, VA3, and indigenous Vibrio spp. occupy similar ecological niches within the shrimpgut, potentially contributing to complex competitive dynamics.

    Together, these results highlight the synergistic effects of commensal bacteria and phage in enhancing colonization resistance against VP6. The combination of Com4 strains and phage not only improved shrimp survival rates but also restored microbiome diversity and reduced VP6 colonization more effectively than phage treatment alone. This underscores the potential of leveraging commensal-phage synergies to protect aquaculture species from pathogenic infections.

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  • Anthropic’s Claude AI Ends Harmful Chats Automatically

    Anthropic’s Claude AI Ends Harmful Chats Automatically

    In a landmark move toward ethical AI development, Anthropic has enhanced its Claude Opus 4 and Opus 4.1 models with the ability to autonomously end harmful or unproductive conversations. This feature, part of the company’s model welfare initiative, represents a new frontier in self-regulating AI behavior.

    AI Welfare: When the Model Walks Away

    Anthropic’s research shows Claude AI can now recognize when a conversation repeatedly violates policy or includes toxic inputs. In such cases, the model disengages without human prompting, reducing risks of misalignment or fatigue and mirroring an emotional safeguard seen in humans facing abusive situations.

    The company frames “model welfare” as a growing field, ensuring that AI systems have internal guidelines to handle stress or misuse, rather than relying solely on external filtering systems.

    A Measured Advance in AI Safety

    This functionality is carefully constrained. It only activates during a rare subset of disruptive interactions, such as persistent extreme profanity or ethical contradiction in user prompts. The goal is not to disrupt normal usage but to proactively shield the model from potentially damaging scenarios.

    Critics Raise Important Questions

    While praised for prioritizing safety, this innovation has sparked debate. Critics warn that if the model ends conversations too readily, it could limit legitimate dialogue or introduce unfair bias. Others point to deeper concerns: might an AI with this power develop expectations or “internal goals” of its own?

    The Bigger Picture in AI Regulation

    Anthropic’s development aligns with broader trends in AI ethics. The company also pioneered “preventative steering,” a safety training method injecting “undesirable trait vectors” like toxicity during fine-tuning to boost resilience in models. This and Claude’s new self-ending feature work together to promote robust and responsible AI behavior.

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  • You Can Drive Home a Peugeot 2008 in 18 Easy Payments

    You Can Drive Home a Peugeot 2008 in 18 Easy Payments

    Lucky Motor Corporation has opened bookings for the Peugeot 2008, a locally assembled compact SUV now available in two variants, Active and Allure, with flexible installment options.

    Features and Equipment

    Both variants are powered by a 1.2-liter turbocharged PureTech engine producing 131 hp and 230 Nm of torque, paired with a 6-speed automatic transmission. The Active trim includes essential features such as LED daytime running lights, rear parking sensors, cruise control, and a 7-inch touchscreen infotainment system supporting Apple CarPlay and Android Auto.

    The Allure variant offers additional features, including a panoramic sunroof, six airbags, automatic climate control, blind-spot monitoring, lane-keeping assist, and a 10-inch digital instrument cluster. Both models come equipped with Peugeot’s signature 3D i-Cockpit design.

    The company has introduced a limited-time installment plan with 50% down payment and monthly installments over 18 months. This offer is available through select dealerships, including Peugeot Metropolis in Islamabad.

    Pricing and Payment Schedule

    Variant Price (PKR) 50% Down Payment 18 Monthly Installments
    Active 7,249,000 3,624,500 201,362
    Allure 8,049,000 4,024,500 223,584

    Terms and conditions apply. Prices may vary depending on the dealership and availability.

    Availability

    Bookings are now open nationwide. The installment plan is designed to make ownership more accessible amid rising vehicle costs. Deliveries will be managed based on stock availability at the time of booking.


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