Category: 3. Business

Press Release:
08:16 CEST • 13 Aug 2025

News release from Vestas Wind Systems A/S  
Aarhus, 13 August 2025

Vestas is pleased to announce that Felix Henseler will succeed Anders Nielsen as Chief Technology and Operations Officer (CTOO) on 1 September 2025. Anders Nielsen has decided to retire from day-to-day management by the end of 2025 after six years as CTOO where he played a leading role in the turnaround of Vestas’ Power Solutions segment as well as the continued industrialisation and standardisation of Vestas’ technology and manufacturing. Felix Henseler most recently served as Chief Executive Officer of ZF Wind Power and will join Vestas immediately. As CTOO, Felix Henseler will have full focus on ramping up both onshore and offshore manufacturing and strengthening Vestas’ offering within wind energy solutions and industry maturity. To ensure a smooth transition, Anders Nielsen will continue as an advisor to Felix Henseler and Vestas until end of 2025.

Felix Henseler, Vestas’ incoming CTOO says: “Vestas is the leader in wind energy and having worked closely with Vestas for many years as a strategic partner, I’m extremely excited and motivated to take on the role as CTOO and become part of Vestas’ Executive Management. The energy industry is impacted by the geopolitical shifts we’re seeing across the globe, and our ability to become even more efficient, competitive and scalable will be decisive to ensure affordable, secure and sustainable energy across the globe. With a long career within engineering and manufacturing, efficiency, competitiveness and scalability will be my focus and I‘m honored to become part of Vestas and meet my many new colleagues who are driving these efforts and ensuring we deliver on our customer promises”.

Anders Nielsen, Vestas’ outgoing CTOO says: “The last six years have been some of the most eventful and valuable of my career where we have faced many challenges and I’m incredibly proud of what we have achieved together during that period. I’m pleased to handover a profitable Power Solutions-segment to Felix, because it took a lot of hard work from everyone in Vestas to achieve, but being part of developing and delivering the V236-15.0 MW offshore turbine, introducing new onshore variants and industrialising our manufacturing setup are also sources of immense pride to me. I want to thank my many Vestas colleagues for the last six years, including everyone in Executive Management for the support and valuable discussions through ups and downs. I look forward to working with Felix and the rest of the Technology and Operations management team to ensure a smooth transition”

Henrik Andersen, Vestas President and CEO says: “Vestas and wind energy is at the centre of ensuring the world has affordable, secure and sustainable energy and to succeed we must continue to drive industrialisation and efficiency across the industry as well as deliver competitive wind energy solutions to our customers. Under Anders Nielsen’s leadership we have made great progress and on behalf of Executive Management, I’m pleased to welcome Felix as Anders’ successor as he brings a wealth of industrial experience and wind energy insights to the role. On behalf of everyone at Vestas, I want to thank Anders Nielsen for his great contribution to Vestas in the last six years and staying onboard until the end of the year to ensure a smooth transition. I want to wish Anders all the best as he now embarks on his second career, although it’s perhaps six years later than originally planned”.

Vestas’ Technology and Manufacturing organisations were merged into Vestas Technology and Operations in Q3 2024 with a clear objective to increase industrialisation within wind energy and strengthen Vestas’ end-to-end approach to delivery of wind energy solutions. Vestas seeks to continue this strategic evolution with the appointment of Felix Henseler. Felix Henseler will be part of Vestas Executive Management and report directly to Henrik Andersen.

For more information, please contact:
Anders Riis
Vice President, Communications
Mail: ANPRR@vestas.com
Tel: +45 4181 3922

Biography

Mr. Felix Henseler

Born:             1976
Nationality:   German
Position:       Executive Vice President, Vestas Technology & Operations (CTOO)

Education
2001               Graduate Industrial Engineer (Economics and Engineering), Fachhochschule Lübeck University of Applied Sciences

Former positions

2021-2025       CEO and managing director of ZF Wind Power (BE)
2016-2021       Flender GmbH, General Manager Applications (DE)
2014-2016       Flender/Winergy, Head of Strategy and Marketing (DE)
2011-2014       Winergy, Head of Strategy and Marketing Winergy, (DE)
2004-2011       Siemens/Flender AG, various leadership roles (DE+CN)

About Vestas
Vestas is the energy industry’s global partner on sustainable energy solutions. We design, manufacture, install, and service onshore and offshore wind turbines across the globe, and with more than 193 GW of wind turbines in 88 countries, we have installed more wind power than anyone else. Through our industry-leading smart data capabilities and unparalleled more than 159 GW of wind turbines under service, we use data to interpret, forecast, and exploit wind resources and deliver best-in-class wind power solutions. Together with our customers, Vestas’ more than 36,000 employees are bringing the world sustainable energy solutions to power a bright future.

For updated Vestas photographs and videos, please visit our media images page on: https://www.vestas.com/en/media/images

We invite you to learn more about Vestas by visiting our website at www.vestas.com and following us on our social media channels:

AI risks entrenching racism and sexism in Australia, the human rights commissioner has warned, amid internal Labor debate about how to respond to the emerging technology.

Lorraine Finlay says the pursuit of productivity gains from AI should not come at the expense of discrimination if the technology is not properly regulated.

Finlay’s comments follow Labor senator Michelle Ananda-Rajah breaking ranks to call for all Australian data to be “freed” to tech companies to prevent AI perpetuating overseas biases and reflect Australian life and culture.

Ananda-Rajah is opposed to a dedicated AI act but believes content creators should be paid for their work.

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Productivity gains from AI will be discussed next week at the federal government’s economic summit, as unions and industry bodies raise concerns about copyright and privacy protections.

Media and arts groups have warned of “rampant theft” of intellectual property if big tech companies can take their content to train AI models.

Finlay said a lack of transparency in what datasets AI tools are being trained on makes it difficult to identify which biases it may contain.

“Algorithmic bias means that bias and unfairness is built into the tools that we’re using, and so the decisions that result will reflect that bias,” she said.

“When you combine algorithmic bias with automation bias – which is where humans are more likely to rely on the decisions of machines and almost replace their own thinking – there’s a real risk that what we’re actually creating is discrimination and bias in a form where it’s so entrenched, we’re perhaps not even aware that it’s occurring.”

The Human Rights Commission has consistently advocated for an AI act, bolstering existing legislation, including the Privacy Act, and rigorous testing for bias in AI tools. Finlay said the government should urgently establish new legislative guardrails.

“Bias testing and auditing, ensuring proper human oversight review, you [do] need those variety of different measures in place,” she said.

There is growing evidence that there is bias in AI tools in Australia and overseas, in areas such as medicine and job recruitment.

An Australian study published in May found job candidates being interviewed by AI recruiters risked being discriminated against if they spoke with an accent or were living with a disability.

Ananda-Rajah, who was a medical doctor and researcher in AI before entering parliament, said it was important for AI tools to be trained on Australian data, or risk perpetuating overseas biases.

While the government has stressed the need for protecting intellectual property, she warned that not opening up domestic data would mean Australia would be “forever renting [AI] models from tech behemoths overseas” with no oversight or insight into their models or platforms.

“AI must be trained on as much data as possible from as wide a population as possible or it will amplify biases, potentially harming the very people it is meant to serve,” Ananda-Rajah said.

“We need to free our own data in order to train the models so that they better represent us.

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“I’m keen to monetise content creators while freeing the data. I think we can present an alternative to the pillage and plunder of overseas.”

Ananda-Rajah raised skin cancer screening by AI as an example where the tools used for testing have been shown to have algorithmic bias. Ananda-Rajah said the way to overcome any bias or discrimination against certain patients would be to train “these models on as much diverse data from Australia as possible”, with appropriate protections for sensitive data.

Finlay said any release of Australian data should be done in a fair way but she believes the focus should be on regulation.

“Having diverse and representative data is absolutely a good thing … but it’s only one part of the solution,” she said.

“We need to make sure that this technology is put in place in a way that’s fair to everybody and actually recognises the work and the contributions that humans are making.”

An AI expert at La Trobe university and former data researcher at an AI company, Judith Bishop, said freeing up more Australian data could help train AI tools more appropriately – while warning AI tools developed overseas using international data may not reflect the needs of Australians – but that it was a small part of the solution.

“We have to be careful that a system that was initially developed in other contexts is actually applicable for the [Australian] population, that we’re not relying on US models which have been trained on US data,” Bishop said.

The eSafety commissioner, Julie Inman Grant, is also concerned by the lack of transparency around the data AI tools use.

In a statement, she said tech companies should be transparent about their training data, develop reporting tools and must use diverse, accurate and representative data in their products.

“The opacity of generative AI development and deployment is deeply problematic,” Inman Grant said. “This raises important questions about the extent to which LLMs [large language models] could amplify, even accelerate, harmful biases – including narrow or harmful gender norms and racial prejudices.

“With the development of these systems concentrated in the hands of a few companies, there’s a real risk that certain bodies of evidence, voices and perspectives could be overshadowed or sidelined in generative outputs.”

With decision-making processes becoming increasingly automated, including loan approvals, recruitment or access to services, we must ensure that artificial intelligence systems are both fair and transparent. These challenges are not only technical but also social, and therefore require ethical reflection, oversight and institutional commitment. The Fair Learning project, coordinated by BBVA’s own Data University and the Institute of Data Science and Artificial Intelligence (DATAI) at the University of Navarra, aims to address this challenge from technological, philosophical and legal standpoints.

Over the next three years, twenty experts—including BBVA data scientists and University of Navarra academics from various disciplines such as engineering, philosophy, medicine, law and economics—will work together to design a framework for detecting, mitigating and correcting AI bias, guaranteeing privacy, fairness and individual autonomy, and for defining best practices in line with current law and regulations.

“This is a genuinely groundbreaking project in the financial sector and a further show of BBVA’s commitment to advancing its technological transformation without losing focus on people,” remarked Josep Amorós, project coordinator and Senior Manager of Analytics Transformation at BBVA, adding that “AI is already a central pillar of the bank’s transformation and will only gain in prominence over the coming years. Therefore, we must ensure its development adheres to principles of fairness, responsibility and transparency.”

According to Jesús López Fidalgo, project coordinator for the University of Navarra team and head of the Institute of Data Science and AI, “responsible AI is one of the great challenges of this new era, and beyond the mere application of general ethical principles lies an open field to explore through multidisciplinary research. We excel at this type of research at the University of Navarra, which has the optimal human resources to carry it out, working alongside the team at BBVA’s Data University.”

The virtuous triangle: technology, philosophy and regulation

One of Fair Learning’s main avenues of research is how to mitigate the presence of bias in data. To succeed in this task, the research team will utilize advanced mathematical and statistical methods to help prevent models from learning discriminatory or biased patterns while being trained, compensate for the under-representation of certain datasets (e.g. a specific demographic group) in larger ones, and monitor the results and outputs of trained models to ensure that they do not infringe the interests of any population group.

The team will also integrate philosophical frameworks such as human-centered AI and virtue ethics, which guide technological development based on moral criteria and social responsibility. The aim is to build systems that respect privacy, promote fairness and reinforce human autonomy without replacing it. The project will also examine how best to conduct ethical audits and establish ongoing assessment processes to ensure the continuous improvement of such systems.

In the regulatory realm, the Fair Learning project will analyze the existing legal framework, which is built around the new European Union AI Regulation (EU AI Act), to define best practices and propose recommendations to ensure ethical and legally aligned implementation of AI systems.

Fair Learning is part of a wider ongoing partnership between BBVA and the University of Navarra in the field of data. This relationship began in 2020 with a pioneering agreement to train the bank’s employees in data science, create a dedicated track for BBVA employees in the official Master’s in Big Data Science, and promote joint industrial PhDs between the bank and the university. To date, more than 90 students have graduated from the master’s programme, 135 data scientists have been certified, and 12 PhD students are currently enrolled, bringing the number of BBVA professionals specialized as a result of the alliance to 239. In 2024, this project reached the executive level with a Senior Management Program in Generative AI, which has already trained upward of 150 BBVA leaders in the strategic use of these technologies.

Company Announcement:
07:43 CEST • 13 Aug 2025

Vestas Wind Systems A/S, Aarhus, 13 August 2025
Company Announcement no. 20/2025

Quarterly revenue of EUR 3.7bn with an EBIT margin before special items of 1.5 percent. Order intake of EUR 2.2bn and combined order backlog of EUR 67.3bn. Full-year guidance maintained.

In the second quarter of 2025, Vestas generated revenue of EUR 3,745m – an increase of 13.6 percent compared to the year-earlier period. EBIT before special items amounted to EUR 57m, resulting in an EBIT margin before special items of 1.5 percent, compared to (5.6) percent in the second quarter of 2024.

Adjusted free cash flow amounted to EUR (227)m compared to EUR 524m in the second quarter of 2024.

The quarterly intake of firm and unconditional wind turbine orders amounted to 2,009 MW, a 44 percent decrease from second quarter 2024. The value of the wind turbine order backlog was EUR 31.4bn as at 30 June 2025.

In addition to the wind turbine order backlog, at the end of the quarter, Vestas had service agreements with expected contractual future revenue of EUR 35.9bn. Thus, the value of the combined backlog of wind turbine orders and service agreements stood at EUR 67.3bn – an increase of EUR 4.3bn compared to the year-earlier period.

The full-year guidance is maintained: Revenue is expected to range between EUR 18bn and 20bn. Vestas expects to achieve an EBIT margin before special items for the Group of 4-7 percent, and total investments¹⁾ are expected to amount to approx. EUR 1.2bn in 2025.

Group President & CEO Henrik Andersen said: “Vestas increased its revenue 14 percent year-on-year to EUR 3.7bn and achieved an EBIT margin of 1.5 percent in the second quarter of 2025, ensuring we remain on track for our 2025 outlook. The results were driven by improved onshore project performance and lower warranty costs but offset by investments in offshore ramp-up to deliver the first V236-15.0 MW projects and build the foundation for Vestas’ long-term success in Offshore. Our Service business delivered solid results in the quarter, and we made progress on the recovery plan. In the quarter, we had good order momentum in EMEA, but political uncertainty impacted key markets, and Vestas continues to work with customers, partners and governments to address market challenges and help build affordable, secure and sustainable energy systems. We want to thank our customers, partners and colleagues for their continued engagement and support.”

Key highlights

Revenue of EUR 3.7bn
Increase of 14 percent YoY.

EBIT margin of 1.5 percent
Improved Onshore project performance and lower warranty costs offset by Offshore ramp-up costs.

Order intake of 2.0 GW
Lower order intake YoY as customers have been awaiting policy clarity, particularly in the USA.

Manufacturing ramp-up driving costs and investments
Onshore and Offshore ramp-up is progressing, and first V236 nacelle assembled at facility in Poland.

ROCE of 11.5 percent (LTM)
Improved profitability in the last twelve months results in highest return on capital employed (ROCE) since 2020.

2025 Outlook
Guidance maintained.
 

1) Total cash flows from the purchase of intangible assets and property, plant, and equipment, net of proceeds from the sale of intangible assets and property, plant, and equipment.

Conference call
On Wednesday 13 August 2025 at 10 am CEST (9 am BST), Vestas will host a conference call with a presentation on the results. The presentation will be audiocast and can be viewed live or replayed via vestas.com.

The presentation will be held in English and will conclude with a Q&A. Details on how to register for the Q&A are to be found at vestas.com/en/investor.

Contact details
Vestas Wind Systems A/S, Denmark

Investors/analysts:
Daniel Patterson,
Vice President, Investor Relations
Tel: +45 2669 2725

Frederik Holm Jacobsen
Senior Specialist, Investor Relations
Tel: +45 2835 3365

Media:
Anders Riis,
Vice President, Communications
Tel: +45 4181 3922

The Samsung Smart Monitor M9 is gaining rave reviews from leading outlets. The product is being praised around the world for stunning picture quality, intelligent features, and gaming-ready performance on top of OLED technology.

Today, Samsung highlighted Smart Monitor M9 reviews by leading outlets like HomeTheaterReview, Techaeris, and Tom’s Guide. It also shared a summary of what leading tech outlets are saying about its M9 monitor.

Samsung’s Smart Monitor M9 introduces the brilliance of a 4K OLED display with built-in Smart TV Apps, AI-powered features, and Gaming Hub to deliver a seamless experience, making it the ultimate all-in-one screen.

The Smart Monitor M9 is a smart entertainment hub, which unlocks built-in access to Netflix, YouTube, Samsung TV Plus, and Samsung Gaming Hub to enable cloud-based gaming and content streaming without the need for a PC.

Here’s what reviewers say:

HomeTheaterReview

Leading tech review outlet HomeTheaterReview described the M9 as “one of the most impressive displays money can buy,” pointing to a responsive performance and “color accuracy that creative professionals will drool over.”

“Imagine a monitor so capable, you might forget to connect a computer,” wrote HomeTheaterReview, which awarded the M9 five stars and an “Editors’ Choice” distinction.

Tom’s Guide

Tom’s Guide wrote, “The new M9 offers a significant upgrade over its predecessor thanks to its 32-inch 4K QD-OLED panel, which dramatically enhances contrast and color for an improved movie-watching experience.”

The reviewer at Tom’s Guide wrote, “During my time with the M9, I came to the conclusion that it’s a huge leap forward from its predecessor, offering more than enough advancements to justify a price increase.”

Techaeris

Tech outlet Techaeris rated Samsung’s M9 a 9.7 out of 10, calling its QD-OLED panel “one of the best you’re going to find on any monitor,” and noting the display “looks spectacular” with colors that “pop” and brightness that “doesn’t wash out the colors.”

Also, Techaeris named the M9 a Top Pick of 2025.

“With a brilliant 4K QD-OLED display, 165Hz refresh rate, Smart TV apps, Gaming Hub, and more, this is a do-it-all monitor and TV, perfect for work and play,” wrote Techaeris.

Just days after unveiling GPT-5, OpenAI CEO Sam Altman announced several new updates aimed at giving users more control and improving the AI’s performance overall. 

In a post on X (formerly Twitter), Altman said users can now choose between three response modes: Auto, Fast and Thinking, for GPT-5. “Auto” remains the default, but the other options let people prioritise speed or deeper reasoning. 

The latest update also sets new rate limits. Users can send 3,000 messages per week using GPT-5 Thinking. After that, they will have extra access through GPT-5 Thinking mini. The context limit for GPT-5 Thinking is now 196,000 tokens, allowing for much longer conversations and documents. 

In response to user feedback, the GPT-4o is back in the model picker for all paid users. A new toggle in ChatGPT’s web settings will let subscribers see additional models like o3,4.1, and GPT-5 Thinking mini. The more powerful GPT-4.5 remains exclusive to Pro users due to high computing costs.

Altman also revealed that work is underway to make GPT-5’s personality feel “warmer” without being overly chatty, a balance users said they want. He hinted at future customisation options so that people can set their preferred personality style.

 The announcement follows a rough first week for GPT-5. In a Reddit post, Altman admitted the model “felt way dumber” for several hours after an autoswitcher glitch, which is the tool that selects the best AI model for each query, went offline.  The issue has been fixed and OpenAI says the model-selection system is now smarter and will show which model is replying. 

GPT-5 is the new AI model launched by OpenAI. The company calls it its “smartest, fastest, most useful model yet, with built-in thinking that puts expert-level intelligence in everyone’s hands.” The AI model saw a rough start with many ChatGPT fans criticising the AI model for being too flat and soulless. Many bashed the company for dropping the GPT-4 without any warning. It seems that these complaints have been heard by the company and it is now focusing on improving the experience overall. 

Tensile test of PALF

The mechanical performance of Pineapple Leaf Fibre (PALF)-reinforced polymer composites was evaluated through tensile testing, following ASTM standards for specimen preparation. The specimens were subjected to testing using an Electronic Tensometer (Model PC-2000), equipped with a 20 kN load cell, operating at a crosshead speed of 5 mm/min. A gauge length of 50 mm was maintained during the tests, which were conducted at a controlled temperature of 28 °C and 50% relative humidity. During testing, the specimens were gradually loaded until failure, and key mechanical properties such as tensile strength and elongation at break were recorded. The fracture typically occurred at the midpoint of the gauge length.

Figure 7 illustrates the tensile testing results as a line graph, demonstrating a smooth and gradual transition of the stress-strain curve. This indicates consistent load transfer and uniform mechanical behavior between layers of the composite. The observed graph supports the hypothesis of a well-bonded and homogeneously distributed fiber-matrix interface, which ensures a continuous and reliable performance across the composite material. These characteristics are crucial for the accurate estimation of intermediate property values, confirming the robustness of the material under tensile stress.

From the results shown in Fig. 7, it can be inferred that the composite with a 5% volume fraction of PALF reinforcement in a polyester resin matrix exhibited an ultimate tensile strength of 9 MPa. This finding is consistent with previous research, which suggests that PALF, owing to its higher aspect ratio (AR), cellulose content, and crystallinity, can significantly improve the tensile strength of composites. However, it is important to note that the hydrophilic nature of cellulose could negatively influence the tensile properties if the fiber’s moisture content is not controlled. Additionally, the incorporation of compatibilizers into the matrix has been shown to enhance the interfacial bonding between the PALF fibers and the resin. Throgh promoting a more homogeneous fiber dispersion and reducing fiber aggregation, compatibilizers improve the mechanical strength of the composite and prevent premature failure due to fiber pull-out.

Furthermore, the uniform fiber-matrix interaction reduces the likelihood of fracture propagation within the composite, thereby enhancing the overall tensile performance. The improvements in the tensile strength and elongation at break are attributed to the effective dispersion of fibers within the matrix, which minimizes defects and stress concentrations within the material. These findings align with the results of previous studies, emphasizing the critical role of fiber treatment, matrix compatibility, and fiber orientation in determining the mechanical properties of PALF-reinforced biocomposites. The tensile testing results demonstrate that PALF-reinforced composites exhibit significant potential for use in a variety of structural applications, particularly where strength, durability, and eco-friendliness are prioritized. Further investigations into optimizing fiber treatments and resin formulations will likely yield even stronger, more versatile biocomposites.

Elemental composition analysis using energy dispersive X-ray spectroscopy (EDS)

Energy-dispersive X-ray spectroscopy (EDS) is a highly effective analytical technique used to determine the elemental composition of materials¹⁶. In this method, an electron beam is directed at the sample, causing the atoms within the material to emit characteristic X-rays. These emitted X-rays are captured and analyzed by an energy-dispersive detector, generating an elemental spectrum. The peaks in the spectrum are indicative of specific elements, enabling both qualitative and quantitative analysis of the sample’s composition. EDS is extensively applied in fields such as materials science, forensics, and geology, owing to its ability to provide detailed compositional information at micron to nanoscale resolutions. This makes EDS particularly valuable for tasks like trace element identification, elemental mapping, and chemical characterization of materials. Additionally, when combined with scanning electron microscopy (SEM) ¹⁷, EDS enhances the ability to investigate both the elemental composition and the morphological characteristics of the sample. The SEM results for the 2, 4, 6, and 8-layer PALF composites are presented in Fig. 8a–d, respectively.

In this study, EDS was performed on pineapple leaf fibre (PALF) composites with varying layer configurations (2, 4, 6, 8 layers) as shown in Figs. 9, 10, 11 and 12. The analysis revealed that the composition of the PALF composites is predominantly carbonaceous, with oxygen as the next most abundant element. Trace elements such as sodium, silicon, niobium, and magnesium were also detected. The total elemental composition of the samples summed to 100.00 weight%, with one standard deviation (1 Sigma) accounting for the associated uncertainty in the measurements. These results highlight the carbon-rich nature of PALF composites, which may have significant implications for their potential applications in industries where carbon-based materials are highly valued. The precision in elemental characterization achieved through EDS plays a crucial role in material quality control and further aids in the development of these biocomposites for various engineering applications.

Implications of elemental composition on the mechanical and functional properties of PALF composites

The distinctive characteristics of carbon-rich pineapple leaf fibre-reinforced biocomposites (PALF) position them as a versatile and promising material with significant potential across various applications. The high carbon content within these composites is a key factor contributing to their mechanical strength and electrical conductivity, though the specific form of carbon and its arrangement within the composite matrix are critical factors influencing performance. The examination of the elemental analysis reveals a substantial carbon content in the PALF composites, suggesting potential improvements in the mechanical properties and overall durability of the material.

With carbon constituting over 66% of the composite, the resulting material demonstrates exceptional structural strength, making it ideal for applications requiring high performance. The intrinsic rigidity and durability of carbon make it a prime candidate for reinforcement, contributing to improved tensile strength and modulus. As such, carbon-rich PALF composites possess characteristics that render them well-suited for structural applications where both lightness and strength are paramount. Examples of such applications include aerospace components, automotive parts, and biomedical equipment, where high-performance materials are essential.

Moreover, the presence of oxygen and trace elements such as niobium and potassium adds further potential to the composite’s capabilities. Oxygen, as a functional component, may enhance the material’s compatibility with specific polymer matrices, thereby improving the bonding at the interface between the fibre and the matrix, ultimately leading to improved mechanical properties. The inclusion of niobium and potassium can also enhance specific performance traits, such as corrosion resistance and catalytic activity. These features open up additional possibilities for the use of PALF composites in industries such as chemical engineering, electronics, and environmental remediation. The high carbon content of PALF composites presents a significant opportunity for the development of advanced materials with tailored characteristics. This makes them particularly appealing for diverse industrial applications that prioritize strength, durability, and performance. The unique combination of mechanical and functional properties makes PALF composites a promising material for a wide array of applications requiring both structural integrity and specialized performance. Also, the carbon content not only carbon content alone does not directly dictate strength. Fiber orientation, matrix adhesion, and dispersion also play a crucial role in defining mechanical properties.

Japan’s five-year government bond auction saw the lowest demand since 2020 amid the prospect of tighter monetary policy and renewed concerns over poor market liquidity.

The sale nudged bond prices lower across maturities from two- to 20-years, and yields on five-year securities rose as much as 3 basis points to 1.07% before easing slightly. The bid-to-cover ratio was 2.96, compared with 3.54 at the prior sale and the 12-month average of 3.74.

BBC

Chiltern Vital Berkeley

‘Targeted radiotherapy’

Transport links needed