Author: admin

  • South Park Spoofs Tech-Bro Culture, ChatGPT and Immigration Crisis

    South Park Spoofs Tech-Bro Culture, ChatGPT and Immigration Crisis

    The third episode of South Park‘s 27th season, which aired on Comedy Central on Wednesday, took a break from its uniquely sharp satire of the MAGA movement, swapping this for a scathing look at the culture that has emerged out of the tech boom, complete with nonsense lingo and ketamine microdosing, the overly pandering appeal of ChatGPT, as well as the ongoing crisis for immigrants in America.

    Episode of the series’ ratings-shattering 27th season sees Randy Marsh’s marijuana farm, Tegridy Farms, faces an existential crisis when ICE agents round up it’s Mexican migrant work force, leading the Marsh family patriarch to contemplate ending his business and leaving farm life behind, much to the delight of the rest of the family. That night, Randy turns to ChatGPT as a marriage therapist — but soon the artificial intelligence is helping him come up with ways to leverage his remaining staffer to reconceive his business model.

    That only remaining Tegridy Farms staffer is the one-and-only Towelie, who, like Randy, has also developed a tendency toward leaning on ChatGPT and its relentlessly positive vibes. The episode has Randy and the beloved anthropomorphized towel team up to save the company. But first, the boss nd staffer start microdosing ketamine; while appearing in an ad spot full of nonsense descriptions of his farm’s harnessing of tech ideas, Randy soon falls out on ketamine, describing himself as “in a hole.”

    The episode then shifts to its B-plotline involving President Trump, season’ 27s new addition to the South Park universe, and his trouble relationship with his partner, Satan — who we learn is also now using ChatGPT to solve his problems. Namely, how to fulfill his desire to break up with Trump.

    Soon enough, the plotlines merge as Towelie heads to Washington to meet with the president — and this being South Park, the gags are up-to-date with the city militarized while operating under the National Guard. After the earnest, walking and talking piece of fabric shows up with to his audience with Trump empty-handed. Following a requisite brown-nosing of the president, he learns via an embedded hologram that emerged of Randy that he, in fact, is the gift that is being given to the president.

    After Randy shuts down the farm and bad-mouths the missing-in-action Towelie, the episode is capped by a dark sitcom satire of Trump and Sartan’s relationship and home life. After Trump puts the moves on Satan, who as usual, wants to do normal relationship activities liek watch TV and talk to one another, it’s revealed that Towelie is MIA because he is now Satan’s hand towel and as the Dark Lord states, “there’s no escaping.”

    South Park will be in hiatus next week and is set to return to Comedy Central on Sept. 3.

    Continue Reading

  • SPX ZERO DTE ALGO – Learn to trade zero DTE S&P Options: Beta 2 Is Live. Test Drive SPY, ES & SPX

    SPX ZERO DTE ALGO – Learn to trade zero DTE S&P Options: Beta 2 Is Live. Test Drive SPY, ES & SPX

    AI Software Engineer Qamar Zaman Explains Q ALOG. AI-Powered Algorithm So Simple “Even Grandma Can Do This” is now live for beta 2. Now playing on Coffee With Q Podcast

    George Town, Cayman Islands, Aug. 20, 2025 (GLOBE NEWSWIRE) —

    SPX ZERO DTE ALGO Software Beta 2 Is Live. Test Drive SPY, ES & SPX


    SPX ZERO DTE ALGO – Learn to trade zero DTE S&P Options: Beta 2 Is Live. Test Drive SPY, ES & SPX

    Cayman Islands-Based Innovator’s Student-Becomes-Teacher Story Features Mentor Achieving Perfect 10/10 Trading Day Using Q’s “Netflix of Trading” System

    In a remarkable reversal of roles that epitomizes innovation in financial technology, Qamar “Q” Zaman, a former software engineer turned algorithmic trading pioneer, has developed a revolutionary trading system that has transformed his own mentor into his student. The Q Algo Zero DTE SPX system recently enabled G, Q’s original trading coach, to achieve a perfect 10/10 trading success rate, prompting G to declare he was “Using Jet Fuel!”

    Jet Fuel

    G’s recent testimonial speaks volumes: “Using Jet Fuel! That’s how I had 10/10 trades today. I finally got a 100% success rate!” The comment underscores the system’s ability to deliver consistent results even for experienced traders.

    The achievement represents more than just profitable trades—it validates Q’s mission to democratize algorithmic trading through what he calls “the Netflix of trading,” a system designed to make complex market analysis as simple as following a recipe from grandma’s kitchen.

    Breaking Down Barriers to Financial Success

    Q’s journey began as a frustrated student who resisted traditional trading education. “I don’t want to learn anything,” he told his mentor G. “Just give me a structure, and then I will trade.” That resistance sparked an innovation that has revolutionized how retail traders approach the markets.

    The Q Algo system transforms intimidating technical analysis into intuitive metaphors: blue gift boxes signal bullish opportunities, yellow boxes indicate bearish moves, and “pancakes” replace confusing candlestick charts. Support and resistance levels become “ceilings and floors,” while VWAP indicators are simplified into a “fishing river” where traders catch “green fish” or “red fish” depending on market direction.

    When the Student Surpasses the Teacher

    The ultimate validation came when G, who originally taught Q the fundamentals of options trading and market psychology, began using Q’s system for his own trades. “If my teacher tells me I’m his teacher, I think it’s more than money,” Q reflected during a recent Coffee with Q podcast demonstration.

    Technology Meets Humanity

    What sets Q’s approach apart isn’t just the sophisticated AI algorithms running behind the scenes—it’s the deeply personal connection he maintains with his late grandmother’s wisdom. Raised by his grandmother while his parents lived abroad, Q channels her memory in his daily trading guidance and educational content.

    “While she’s gone, I remember her, and now grandma is kind of helping me complete this mission,” Q explains. This personal touch has transformed cold technical analysis into warmth-infused education that students find both memorable and actionable.

    Proven Results in Real-Time

    During a video demonstration, Q showcased the system’s effectiveness with actual trades:

    • Trade 1: One-minute call option yielding $2.00 premium gain

    • Trade 2: Five-minute position generating $2.20 premium gain

    • Trade 3: Strategic put option capturing downward movement

    Each trade followed the system’s clear signals, eliminating guesswork and emotional decision-making that typically plague retail traders. Many of Q’s friends and case studies are being rolled out so this is not a 1 trick pony – multiple users across various market conditions are demonstrating the system’s consistent performance and reliability.

    The Educational Revolution

    The Q Algo system addresses a critical gap in financial education identified by Q: “The people that knew it did not want to make it easy, and the people that did not know it made it very complicated because they didn’t know how to sell it.”

    Through the Coffee with Q platform, users receive:

    • 14-day observation period to learn without pressure

    • Multi-panel dashboard showing momentum, direction, and timing

    • AI-powered signal generation without technical complexity

    • Community-driven learning through member success stories

    • Weekly podcast reviews analyzing real market conditions for members.

    Industry Impact and Future Vision

    Q’s innovation represents a paradigm shift from complexity-based trading education to clarity-focused results. The system’s success has attracted attention from retail traders seeking alternatives to overwhelming traditional approaches that often lead to analysis paralysis and emotional trading mistakes.

    “We want this adoption to happen,” Q states. “We’re not a service announcing trades. We want people to watch us, learn, and develop their own confidence through systematic approaches rather than emotional decision-making.”

    About Qamar “Q” Zaman and Coffee with Q

    Qamar Zaman is a successful digital marketing executive and software development entrepreneur based in the Cayman Islands. After transitioning into algorithmic trading, he developed the Q Algo Zero DTE SPX system to democratize access to sophisticated trading tools. The Coffee with Q platform serves as both an educational resource and community hub for traders seeking systematic approaches to market participation.

    The complete educational breakdown and system demonstration is available at: https://www.coffeewithq.org/q-algo-zero-dte-spx-algo-from-student-to-teacher-how-qs-revolutionary-trading-algorithm-transforms-complex-markets-into-simple-decisions/

    Media Contact: Coffee with Q Media Relations
    Email: digital@kisspr.com
    Website: www.coffeewithq.org

    Investment Disclaimer: Trading involves substantial risk and is not suitable for all investors. Past performance does not guarantee future results. This press release is for informational purposes only and does not constitute investment advice.

    Note to editors: High-resolution images, additional quotes, and interview opportunities with Q are available upon request. The complete video demonstration featuring live trades and system walkthrough can be accessed through the Coffee with Q platform.

    ###

    Trading Involves Risk

    Trading financial instruments, including but not limited to stocks, options, futures, and currencies, involves a high degree of risk and is not suitable for every investor. You should carefully consider whether trading is appropriate for your financial situation. Only risk capital should be used when trading.

    Q Factor is a software tool designed to assist traders in analyzing market data, developing strategies, and managing trading decisions. It is not a trading signal service, brokerage, advisory service, or educational course. Q Factor does not execute trades on your behalf, provide individualized investment advice, or guarantee any trading results.

    All outputs generated by Q Factor—such as indicators, analytics, strategy suggestions, or performance reports—are for informational and research purposes only and should not be construed as investment advice. The accuracy, completeness, and timeliness of data or analysis generated by Q Factor are not guaranteed. Any trading decisions you make based on information from Q Factor are made entirely at your own risk.

    You are solely responsible for assessing the potential risks and consequences of your trading activities. Past performance, whether simulated or historical, is not necessarily indicative of future results.

    Market Opinions Are Not Investment Advice

    Any market commentary, forecasts, back testing results, or strategy ideas generated or displayed by Q Factor are general market opinions and not specific investment recommendations. We accept no liability for any loss or damage, including but not limited to loss of capital or profit, that may arise directly or indirectly from the use of Q Factor or reliance on its outputs.

    Technology & Internet Risks

    Trading with the assistance of internet-connected software carries inherent risks, including but not limited to:

    • Hardware or software failures

    • Internet connectivity issues

    • Data transmission delays

    • System compatibility problems

    Q Factor and its developers cannot control third-party data feeds, signal strength, or internet reliability, and therefore accept no responsibility for communication failures, errors, or delays in market data delivery.

    U.S. Government Required Disclaimer – CFTC Rule 4.41

    Futures and options trading has large potential rewards but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in these markets. Do not trade with money you cannot afford to lose. This software is neither a solicitation nor an offer to buy/sell futures, options, or any financial instruments. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.

    Hypothetical or Simulated Performance Disclaimer:

    “HYPOTHETICAL PERFORMANCE RESULTS HAVE MANY INHERENT LIMITATIONS. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN. In fact, there are often sharp differences between hypothetical performance results and the actual results subsequently achieved by any trading program.”

    Factors such as market volatility, emotional discipline, slippage, and order execution can significantly impact real trading results and cannot be fully accounted for in simulated performance.

    Daily reports are  generated by Q ALGO algorithms for informational purposes only.

    All analysis represents algorithmic processing of market data and should not be construed as investment advice. Users are responsible for their own trading decisions and risk management.

    Information may contain errors or omissions; users must independently verify all data and assume full responsibility for trading decisions – Q Factor disclaims liability for any inaccuracies or resulting losses.

    Continue Reading

  • Inter Miami vs Tigres player ratings: Javier Mascherano sent off as Lionel Messi-less Herons advance thanks to two Luis Suarez penalties, reach Leagues Cup semifinals

    Inter Miami vs Tigres player ratings: Javier Mascherano sent off as Lionel Messi-less Herons advance thanks to two Luis Suarez penalties, reach Leagues Cup semifinals

    The Herons managed to secure the upset, but Mascherano’s actions could result in further consequences

    Lionel Messi missed Inter Miami’s quarterfinal match against Liga MX’s Tigres, but there was plenty of drama as the Herons edged La U de Nuevo León in a 2-1 thriller on Wednesday night.

    Luis Suarez came through with two ice-cold spot kicks as a result of not one, but two handball calls on Tigres’ Javier Aquino. Despite being underdogs without their eight-time Ballon D’Or winner Messi, Inter Miami got off to an inspired start. They held an advantage on possession and were more incisive than their Liga MX opponents – who currently sit sixth in the Apertura with a game in hand.

    A shot by Suarez hit the bottom of Aquino’s arm. After a VAR review, Suarez was awarded the penalty, which he calmly finished. Tempers flared after that play, as several players confronted each other. Reminiscent of his playing days as Liverpool and Barcelona’s enforcer, Inter Miami manager Javier Mascherano also got into the mix – yelling at referees and players.

    As he walked back on the pitch he was immediately show a red card and had to leave, but the controversy did not end there. Tigres took advantage of the chaos to seize momentum in the second half. 

    Angel Correa, an international teammate of Messi and Rodrigo De Paul, took advantage of a poor loss of possession from Gonzalo Lujan and weaved past two defenders to score on Oscar Ustari – a shot that could have been saved had the goalkeeper been better positioned.

    Mascherano, sitting just 20 feet away from the coach’s bench in the stands, was seen using his phone to yell instructions. Cameras caught Lucas Rodriguez Pagano, his assistant coach, answering on the phone’s loudspeaker.

    Luck remained on Miami’s side. Another penalty was awarded following a more obvious handball by Aquino. Suarez easily converted, shooting in the same direction to ice Miami’s win. 

    GOAL rates Inter Miami’s players from Chase Stadium.

    Continue Reading

  • Oil Holds Gain After Biggest Drop in US Stockpiles in Two Months – Bloomberg.com

    Oil Holds Gain After Biggest Drop in US Stockpiles in Two Months – Bloomberg.com

    1. Oil Holds Gain After Biggest Drop in US Stockpiles in Two Months  Bloomberg.com
    2. Natural Gas, WTI Oil, Brent Oil Forecasts – Oil Markets Gain Ground As Crude Inventories Drop  FXEmpire
    3. Crude inventories see sharp decline as exports rise, EIA says  Reuters
    4. Brent Edges Up Amid US Stocks Draw  TradingView
    5. Oil Prices Surge Amid Dwindling U.S. Stockpiles, Treasury Yields Ease Signaling Economic Crossroads  FinancialContent

    Continue Reading

  • How shifting landscapes drive new bird flu threats across Asia

    How shifting landscapes drive new bird flu threats across Asia

    A new simulation shows that environmental changes across Asia’s major bird migration route could accelerate viral evolution and increase the risk of dangerous flu strains emerging.

    Study: Landscape changes elevate the risk of avian influenza virus diversification and emergence in the East Asian–Australasian Flyway. Image Credit: Albert Beukhof / Shutterstock

    A recent study in the Proceedings of the National Academy of Sciences investigated the impact of landscape changes in the East Asian–Australasian Flyway on migratory waterfowl distribution and their interaction with poultry, influencing the evolution of AIV.

    Avian influenza virus: Emergence and evolution

    Highly pathogenic avian influenza virus (HPAIV) A/H5N1 was first detected in 1996, infecting domestic poultry. Subsequently, it caused severe outbreaks affecting the poultry industry and wild bird populations. Over time, several new HPAIV H5 subtypes have appeared, including the recent discovery of H5N1.

    H5N1 was found to have the potential to transmit across new geographic regions and hosts, including dairy cattle, which enhanced global concern for wildlife, agriculture, and public health. A newly emerged H5N1 subtype with improved virus adaptability enables rapid transmission across wider host groups.

    Although highly pathogenic AIV strains mostly arise from specific gene mutations, such as polybasic cleavage site insertions in the HA gene, genetic reassortment may also contribute to genetic diversity. A viral strain with high genetic diversity has a higher risk of becoming pathogenic under favorable ecological conditions, and the study used reassortment as a key indicator of such conditions.

    Importantly, the study used reassortment incidence as a proxy, not a direct predictor of potential viral emergence, noting that actual pathogenicity requires additional mutations. Genetic reassortment is a crucial mechanism associated with the exchange of genetic information between coinfecting subtypes within a host.

    Migratory waterfowl influence the evolution of avian influenza viruses

    In 2002–2003, researchers isolated the first HPAIV from wild waterfowl in the East Asian–Australasian Flyway (EAAF). Initially, the HPAIV infection in wild waterfowl was regarded as a spillover from domestic poultry. Every year, millions of waterfowl migrate from northern breeding grounds in Siberia and Mongolia to wintering grounds in the Yangtze River Basin in southeastern China.

    Seasonal migration facilitates the long-distance spread of viruses, which ultimately increases local viral diversity and the risk of coinfection. This phenomenon also elevates the risk of new virus emergence. Several factors determine waterfowl distribution during migration, including landscape features, particularly wetlands, surface water availability, and the presence of rice paddies.

    Recent studies have revealed climate- and human-driven changes in the EAAF landscape, such as agricultural abandonment in Russia and rice paddy expansion in northern China, which significantly impact waterfowl distribution across the flyway. It is important to understand how these shifts have influenced AIV dynamics.

    Migration networks generated from telemetry tracking, GLM predictions, and IBM simulations for 2000 and 2015 scenarios. (A) Network of sites from dBBMM using 2015 telemetry tracking data; (B) Network of sites predicted by GLM for 2000; (C) Network based on sites simulated by IBM for 2000; (D) Network of sites predicted by GLM for 2015; (E) Network based on sites simulated by IBM for 2015. Links in networks A, B, and D use migration step length, whereas links in networks C and E use simulated IBM movement trajectories. Green and blue contours show breeding and wintering ground ranges, respectively. In networks C and E, node color indicates number of visited birds, and link width indicates number of traveling birds.Migration networks generated from telemetry tracking, GLM predictions, and IBM simulations for 2000 and 2015 scenarios. (A) Network of sites from dBBMM using 2015 telemetry tracking data; (B) Network of sites predicted by GLM for 2000; (C) Network based on sites simulated by IBM for 2000; (D) Network of sites predicted by GLM for 2015; (E) Network based on sites simulated by IBM for 2015. Links in networks A, B, and D use migration step length, whereas links in networks C and E use simulated IBM movement trajectories. Green and blue contours show breeding and wintering ground ranges, respectively. In networks C and E, node color indicates the number of visited birds, and link width indicates the number of traveling birds.

    About the study

    The current study investigated how landscape changes in the EAAF between 2000 and 2015 affected migratory waterfowl distribution, which may enhance the potential risk of novel subtype emergence.

    Researchers combined telemetry tracking data from a migratory waterfowl host, eBird data, Greater White-fronted goose (Anser albifrons, GWFG), poultry distribution data, and landscape data to develop an individual-based model (IBM). While GWFG interactions with poultry provided a baseline, the single-species focus likely underestimates overall transmission risks dominated by dabbling ducks and gulls.

    This model was used to simulate waterfowl movements and cross-species transmission at the wild bird–poultry interface. Furthermore, this model combines a migratory flow network model with compartment models. In a migratory flow network model, the edges represent potential movement paths and the nodes represent sites.

    The model simulates infection dynamics within wild and poultry populations. It also predicts spillovers from wild birds to poultry and reassortments in poultry. The movement of the birds was determined through their habitat and distance. Simulations between 2000 and 2015 were compared to assess how landscape change impacts the risk of virus emergence through altering bird migration.

    Study findings

    A total of 50 sites, including 11 breeding, 7 wintering, and 32 stopover sites, were identified from telemetry tracking data between 2014 and 2016. A generalized linear model (GLM) was developed to predict suitable sites between 2000 and 2015, which indicated an increased number of stopover sites in Russia and a decreased number in Magadan. However, a contrasting trend in breeding and wintering sites was observed.

    Based on 2015 data, IBM simulations indicated that enhanced connectivity and habitat shifted birds from heavy reliance on the poorly connected Magadan site to a broader network across Russia and the borders of Mongolia and northeast China. Wetland and rice paddy were found to be the most important factors in shaping GWFG distribution, particularly in northeast China.

    Increased breeding sites from 2000 to 2015 delayed the virus exposure and transmission at stopovers. However, it resulted in higher infection prevalence rates, particularly during stopover and winter arrival in 2015. Elevated infection prevalence rates accelerated the risk of viral transmission from stopover to wintering sites and increased cross-species spread by enhancing environmental viral loads at wintering sites.

    Low pathogenic avian influenza viruses (LPAIV) were identified to be the leading contributor to infections in wild birds, causing 57% of infections in 2015 and 34% in 2000. Increased viral loads shed were associated with both LPAIV in wild birds and poultry. The cross-species transmission rate strongly increased reassortment, especially in the 2015 scenario. The 1,593% increase in reassortment served as the study’s key proxy for elevated emergence risk. The study findings support the fact that altered landscape conditions in 2015 increased the role of poultry in promoting LPAIV circulation.

    The simulation model indicated that genetic reassortment risk enhanced both the magnitude and spatial extent between 2000 and 2015, particularly in northeastern China, the borders with Mongolia and Russia, and from the Yangtze to the Yellow River Basin.

    Conclusions

    Landscape changes between 2000 and 2015 were found to reshape migratory waterfowl distribution in EAAF. This triggered an increase in interactions with poultry that ultimately enhances the risk of viral diversification and subtype emergence. The current study underscored the role of environmental changes in AIV emergence and pattern.

    Authors emphasized the need for an interdisciplinary approach that integrates landscape dynamics with viral evolution studies through combining ecology, virology, and landscape modeling to predict AIV dynamics and determine high-risk zones accurately.

    Journal reference:

    • Yin, S. et al. (2025) Landscape Changes Elevate the Risk of Avian Influenza Virus Diversification and Emergence in the East Asian–Australasian Flyway. Proceedings of the National Academy of Sciences. 122(34): e2503427122. DOI: 10.1073/pnas.2503427122, https://www.pnas.org/doi/10.1073/pnas.2503427122

    Continue Reading

  • A retrospective cohort study on impact of Covid-19 outbreak on out-of-hospital cardiac arrest (OHCA) in Telangana, India: mortality trends, contributing factors, and research imperatives | BMC Public Health

    A retrospective cohort study on impact of Covid-19 outbreak on out-of-hospital cardiac arrest (OHCA) in Telangana, India: mortality trends, contributing factors, and research imperatives | BMC Public Health

    During the study period, 4632 total cases of OHCA were documented. Out of which 4104 cases (1284 in 2019, 1452 in 2020, and 1368 in 2021) were eligible for inclusion in the analysis after the exclusion of the following cases: Age: ≤ 18 years (N = 134), traumatic cardiac arrest (N = 383), and revived patients (N = 11), illustrated in Fig. 1. The incidence of OHCA increased during the pandemic. During the first wave, 1452 cases were recorded, accounting for 31.34% of the total cases, while the second wave reported 1368 cases (29.53%). In comparison, the pre-pandemic period recorded 1,284 cases (27.72%). This increase during the pandemic reflects the heightened strain on healthcare systems and the potential indirect effects of COVID-19 on cardiac health.

    The findings demonstrate the pandemic’s impact on OHCA incidence trends and demographic features of OHCA cases over three time periods: pre-COVID-19 (2019), the first wave (2020), and the second wave (2021). 1.

    Sex distribution

    Table 1; Fig. 2 illustrated that males accounted for the majority of OHCA cases in 2019, 2020, and 2021 (68.45%, 69.90%, and 68.93%, respectively). Female cases demonstrated comparable stability, ranging from 30.09 to 31.54%. The lack of significant variations suggests that the pandemic had minimal impact on OHCA incidence based on sex.

    Age distribution

    Individuals aged 45–60 reported approximately 60% of OHCAs across all time periods. This trend continued consistently, with percentages of 60.28% in 2019, 61.43% in 2020, and 61.18% in 2021, as shown in Table 1; Fig. 2. Approximately 25% of instances were reported by people aged > 60, with those between ages 18 and 45 accounting for only about 13%. The steady age distribution shows that the pandemic had no significant impact on the demographic profile of OHCA patients; however, it emphasises a middle-aged or older group that is disproportionately impacted by cardiac arrests.

    Location of OHCA

    Table 1; Fig. 2 depict that during the pandemic, the proportion of OHCAs occurring at home grew from 84.73% in 2019 to 94.14% in 2020, then marginally decreased to 88.66% in 2021. During the epidemic, there was a significant increase (p < 0.001), which could be attributed to lockdowns, limited movement, and delayed medical care. Cases in public areas decreased to 3.85% during the First Wave from 12.30% in 2019 and somewhat rebounded to 9.21% in 2021. This tendency is consistent with lower outside activity and social constraints during the pandemic. OHCA cases in healthcare settings decreased slightly throughout the pandemic, from 2.49% in 2019 to 1.65% in 2020. This decrease could be attributed to fewer in-hospital care visits for non-COVID illnesses.

    Time of OHCA

    Morning hours continuously accounted for the biggest share of OHCAs throughout all periods, slightly rising during the Second Wave (46.71% in 2021 vs. 44.15% in 2019), as shown in Fig. 2. Afternoon Hours: Afternoon OHCAs were consistent across all years, with roughly 28% of instances. Evening and late-night OHCAs gradually decreased from 27.49% (2019) to 25.21% (2021), as illustrated in Table 1; Fig. 2. The contemporary distribution of OHCAs indicates that pandemic-related pressure, changes in normal routines, and healthcare interruptions had no impact on cardiac arrest timing.

    Fig. 2

    Baseline data for OHCA subjects during pre-COVID-19 and COVID-19 (1st and 2nd wave) outbreak groups

    Risk factors

    During the pandemic, there was a considerable increase in OHCA cases with identified risk factors. The statistically substantial increase (p < 0.001) can be attributed to the worsening of pre-existing conditions during the pandemic due to limited access to healthcare and delayed normal medical care. The data presented in Table 2; Fig. 3 show that the percentage of cases with no risk factors declined from 27.73% in 2019 to 12.25% in 2020, followed by a slight increase to 18.48% in 2021. The pandemic most likely resulted in underdiagnosis of asymptomatic or low-risk patients.

    Prior cardiac disease history

    Cases with a prior heart illness remained stable across three periods (Table 2). Prior cardiac disease continued to contribute to OHCA despite the pandemic’s impact.

    Comorbid illness

    Respiratory disease

    During the pandemic, the prevalence of respiratory diseases ascended from 28.75% in 2019 to 50.97% in 2020, then decreased to 34.63% in 2021, as shown in Fig. 3. COVID-19 may have exacerbated respiratory problems, leading to this rise. Significant value was illustrated in Table 2. (p < 0.001).

    Other comorbidities

    Other comorbidities, such as renal illness, neurologic problems, thyroid disorders, and liver problems, had little variation over three periods. As reflected in Fig. 3, the percentage of “other” comorbidities increased from 14.06% in 2019 to 22.99% in 2020, indicating the impact of COVID-19 on overall health issues (p < 0.001), included in Table 2.

    Preceding symptoms

    According to Fig. 3, the percentage of patients who presented with prior symptoms decreased during the First Wave (55.65%) compared to 2019 (63.26%), and then returned to pre-pandemic levels in 2021 (63.09%) (p < 0.001); significant value was illustrated in Table 2. Delays in seeking medical help, either out of fear of catching COVID-19 or due to barriers to healthcare access, may be the cause of this decline in symptomatic presentation in 2020.

    Symptom duration

    Across all time periods, the majority of OHCA cases had symptoms for less than an hour (81.09%, 81.96%, and 81.42% in 2019, 2020, and 2021, respectively, as shown in Table 2; Fig. 3). There were few differences in cases with extended symptom durations (1–24 h or > 24 h), suggesting that the most frequent presentation of cardiac arrest was still acute symptom onset.

    Fig. 3
    figure 3

    Clinical features of OHCA subjects during pre-COVID-19 and COVID-19 (1st and 2nd wave) outbreak groups

    OHCA witnessed

    Table 3; Fig. 4 show a significant decrease in the number of OHCAs witnessed (38.3%) due to the pandemic. This decrease, particularly during the First Wave, is likely due to pandemic-related variables such as increased social isolation and delayed emergency care.

    The first responder witnessed

    During the pandemic, there was a large decrease in relatives functioning as first responders (53.26%). However, the share of “other” first responders grew from 7.29% in 2019 to 46.74% in 2020 (Table 3; Fig. 4), which could be due to decreased family interactions and increased reliance on external support.

    EMS calls and responses

    Table 3 reflects that during the pandemic, the proportion of OHCAs when EMS was called in increased. EMS response times, however, substantially deteriorated. Responses under 10 min decreased from 4.36% in 2019 to barely 0.49% in 2020 and 0.93% in 2021. Responses lasting more than 30 min increased significantly, rising from 1.14% in 2019 to 77.04% in 2020 and 40.58% in 2021 (Fig. 4). This study demonstrates that the COVID-19 pandemic significantly influenced critical OHCA-related factors. During the pandemic waves, EMS response times increased substantially, with a greater proportion of cases experiencing delayed arrivals (> 30 min). This delay may have reduced the likelihood of successful resuscitation.

    CPR initiation

    During the epidemic, CPR initiation fell abruptly: 81.2% in 2019, 30.19% in 2020, and 49.02% in 2021. There was a greater need for EMS workers to perform CPR. 45.79% in 2019, 49.09% in 2020, and 51.81% in 2021 (Table 3; Fig. 4). Layperson participation, especially among family members, declined dramatically, most likely as a result of insufficient training, anxiety about coming into contact with COVID-19, or unwillingness to administer CPR in a high-risk setting.

    Time interval between OHCA and CPR initiation

    The data reflects there was a significant decrease in rapid CPR initiation (< 5 min): 8.42% in 2019, 2.12% in 2020, and 2.21% in 2021. There was a significant increase in delays (> 20 min) in starting CPR: 15% in 2019, 80.3% in 2020, and 78.92% in 2021 (Table 3). This highlights the significant lags in emergency response throughout the epidemic, which probably led to worse results (Fig. 4).

    AED/Defibrillator use

    Table 3 shows that during the epidemic, AED use dramatically declined: 9.46% in 2020, 21.71% in 2021, and 40.08% in 2019. A lack of availability or a decline in community-level readiness may be the cause of the decrease in access.

    ROSC (Return of spontaneous Circulation)

    ROSC remained exceedingly low throughout all time periods, with no survivors reported during the pandemic years (2020–2021) and only two reported prior to the pandemic (Table 3; Fig. 4). These findings indicate the consistently poor outcomes linked with OHCA, highlighting difficulties in emergency response and availability of advanced care both before and during the pandemic.

    Time interval between OHCA and death

    Most fatalities happened within 12 h: 94.39% in 2019, 82.44% in 2020, and 94.3% in 2021, as reflected in Table 3. In 2020, Fig. 4shows a minimal increase in the 12- to 24-hour survival rate (17.36%), potentially due to postponed medical interventions.

    The pandemic’s considerable influence on OHCA outcomes and reactions is highlighted by the significant P-values (p < 0.001) for all of the aforementioned aspects. Survival odds were significantly impacted by decreased bystander involvement, EMS response delays, and decreased use of AEDs and CPR. These results highlight the necessity of public health programs to bridge gaps in the emergency response system and enhance bystander readiness and willingness in times of crisis. All significant values are illustrated in Tables 1 and 2, and 3.

    Fig. 4
    figure 4

    Survival rate of OHCA subjects after resuscitation attempt during pre-COVID-19 and COVID-19 (1st and 2nd wave) outbreak groups

    Continue Reading

  • WFW advises MUFG Bank on Jeju Air Boeing 737 MAX-8 ITASCA-backed finance leases

    WFW advises MUFG Bank on Jeju Air Boeing 737 MAX-8 ITASCA-backed finance leases

    Watson Farley & Williams (“WFW”) advised MUFG Bank, Ltd. (“MUFG”) on the financing of two Boeing 737 MAX-8 aircraft for South Korean low-cost carrier Jeju Air Co., Ltd. (“Jeju Air”). The aircraft were delivered in June and July 2025.

    Jeju Air’s obligations under the leases are supported by an Aircraft Non-Payment Insurance (“ANPI”) policy structured by Itasca MGA (UK), providing risk mitigation for MUFG.

    MUFG Bank is Japan’s largest bank and the core banking subsidiary of Mitsubishi UFJ Financial Group, one of the world’s leading financial institutions with a global network spanning over 40 countries. Jeju Air is a leading South Korean low-cost carrier, with a fleet of more than 40 aircraft.

    The WFW Tokyo Aviation team that advised was led by Assets & Structured Finance Partner Simon Collins, supported by Counsel Christian Orton and Paralegal Saira Oshiro.

    Simon commented: “We’re pleased to have advised MUFG on this strategic financing for Jeju Air, which underscores the aviation sector’s resilience and growth across the Asia-Pacific region”.

    Continue Reading

  • The glamorous new medi-retreat owned by the King of Morocco

    The glamorous new medi-retreat owned by the King of Morocco

    Tamuda Bay is where Morocco’s smart set spend their summers. Looking out over the calm waters of the Med, it’s easy to see why. Just a 90-minute drive from Tangier on Morocco’s Riviera, it is the greenest part of the country, flanked by the Rif mountains which keep the coastal strip lush. On this part of the Moroccan coast, facing the Med, there is no battling with Atlantic-sized waves. And, what’s more, it’s next door to the summer palace of Mohammed VI, the King of Morocco.

    The 55-room hotel is part of the Royal Mansour hotel group established by the king in 2010, which explains the palatial size of the rooms. In summer, it’s used as overflow accommodation for the royal compound with which it shares the private beach: a glorious 700m long sweep of sand. In low season, there’s a solitary guard staring out to sea where the hotel ends and the compound begins, right by the boathouse for the hotel’s two Riva yachts.

    One of the palatial suites available at the hotel

    NINTCHDBPICT001015846297

    The rooms have a modern Med aesthetic

    My room has a modern Med aesthetic, a pretty garden and a muted palette, and is also extremely high-tech. At the end of a long day, I have to summon a member of staff to help me order my supper via an iPad and turn down the air con — but he is charm personified.

    My addled brain is in the right place because the Royal Mansour Tamuda Bay has a fantastically beautiful and pristine medi-spa, which opened on March 1. I am trying its new Longevity programme, so have checked in for four days (usually it’s 7, 10 or 14 nights) for a range of assessments, exercise classes, aesthetic treatments and holistic health consultations.

    NINTCHDBPICT001015846285

    The medi-spa curates a personalised programme of treatments

    My first session is with the bracingly straight-talking Dr Aya Benzouina, who oversees my medical check-up, comprising a battery of blood tests, a physical examination and a chat about my specific worries (disrupted sleep and a frozen shoulder, for starters). She then draws up a timetable of sessions for me, while emphasising (three times, actually) that I need to do more exercise. Oui, docteur.

    Later that day, my personalised programme begins with a stream of appointments with a nutritionist, an holistic medicine specialist (for stress and emotional wellbeing), physiotherapist, personal trainer and acupuncturist (and three nurses). Sandwiched between these there are some heavenly treatments — and a particularly good massage team. They are all Balinese and masters at what they do — every guest I speak to sings their praises.

    NINTCHDBPICT001015846366

    The moon-inspired giant globe suspended above the heated “quiet” pool

    NINTCHDBPICT001015846377

    The spa is spacious and cocooning

    The spa itself is spacious and cocooning, with a pool, hydrotherapy suite, hammam, sauna, pink salt room, gym and treatment rooms. Arguably the star of the show is the separate heated “quiet” pool, which has a spectacular moon-inspired giant globe suspended above it and a twinkly universe of stars inlaid into its floor (coming soon to an Instagram post near you). There’s also a third beachside pool, chic as a Parisian with pink and white striped umbrellas and neatly trimmed palm trees ranged like a guard of honour.

    NINTCHDBPICT001015845934

    The longevity programme has special menus to help kick-start a new regime, served in one of the hotel’s three restaurants, which major in French, Italian and Spanish cuisines. (There’s also a sushi menu at Royal Mansour Tamuda Bay, but a curious lack of Moroccan food. I find a tagine on the room service menu but that’s about it.) The programme starts with a two-day liquid fast, based on herbal teas and bouillons. I skip that phase (phew) but do sample a 340-calorie dinner from the 850-calories-a-day menu that follows the fast. My carrot salad followed by wood-fired grilled prawns, avocado and mango are as fresh and tasty as I’d hoped (but do leave me dreaming about a supplementary order from room service).

    NINTCHDBPICT001015845178

    Coccinella restaurant, serving Italian cuisine

    NINTCHDBPICT001015845460

    Le Méditerranée restaurant, offering a Spanish inspired menu

    I don’t manage to lose any weight during my stay; the restaurants’ offerings are uniformly delicious and they have a baker whose bread and patisserie are simply too tempting. But it appears I’m healthier (and a bit fitter) than the team thought when they first clapped eyes on me. No cholesterol problem, high blood pressure or pre-diabetes. However, they do unearth a chronic vitamin D deficiency. Since returning home, I’ve secured some mega-dose supplements from my GP (and also endeavoured to cook from scratch more; ready meals are banned) and now feel like my batteries have been recharged. I’m due a follow-up phone consultation with the team a month after leaving the spa. I only have good news to report. Thanks, Royal Mansour Tamuda Bay.

    Royal Mansour Tamuda Bay’s seven-day Longevity programme starts from 55,000 MAD (£4,500), inclusive of all assessments and treatments but not accommodation. Deluxe suites for two from 7000 MAD (£560) B&B (royalmansour.com)

    Continue Reading

  • Caught in Providence judge Frank Caprio passes away at 88

    Caught in Providence judge Frank Caprio passes away at 88



    Chief Judge of Providence Municipal Court and star of the reality series Caught in Providence, Frank Caprio. — Facebook@FrankCaprio/File

    Frank Caprio, the longtime Chief Judge of Providence Municipal Court and star of the reality series Caught in Providence, has died aged 88 after battling pancreatic cancer, his family has confirmed.

    He passed away peacefully on Wednesday, August 20.

    “Judge Frank Caprio passed away peacefully at the age of 88 after a long and courageous battle with pancreatic cancer,” his family said in a statement posted on Facebook.

    “In his honour, may we each strive to bring a little more compassion into the world – just as he did every day.”

    Rhode Island Governor Dan McKee ordered flags at state buildings and agencies to be flown at half-mast until Caprio’s burial.

    “Judge Caprio was a Rhode Island treasure,” he said. “On a personal level, he was a friend who faced his illness with bravery, and I will miss him dearly. My thoughts are with his family and loved ones during this difficult time.

    “Judge Caprio not only served the public well, but he connected with people in a meaningful way. He showed us all what justice with humanity can look like.”

    A judge known worldwide

    Caprio became widely recognised through Caught in Providence, the long-running reality television show that highlighted his compassionate way of dealing with minor traffic offences. With humour and empathy, he often brought both laughter and comfort to people appearing in his courtroom.

    The programme aired locally for more than 20 years before being broadcast nationally. Later, clips of his rulings found a huge following on YouTube, where new videos continued to appear even after he stepped down from the bench.

    “I don’t wear a badge under my robe,” Caprio often remarked. “I wear a heart.”

    Earlier this year, he published his memoir, Compassion in the Court: Life-Changing Stories from America’s Nicest Judge.

    His illness and final months

    Caprio revealed in December 2023 that he had been diagnosed with pancreatic cancer. He praised the “wonderful team of doctors” treating him in Boston and Providence, but admitted he was facing “an insidious form of cancer”.

    He kept his 1.7 million Instagram followers updated, sometimes posting videos during chemotherapy sessions. In one, he listened to the singer-songwriter Jewel, who later said she was “honoured to bring a small amount of comfort” to him.

    Judge Frank Caprio is remembered in Rhode Island and far beyond as a man who brought kindness and compassion to the courtroom.

    Continue Reading

  • Stunning galaxy blooms with pink nebulae in Hubble’s new image

    Stunning galaxy blooms with pink nebulae in Hubble’s new image

    Today’s NASA/ESA Hubble Space Telescope Picture of the Week offers a closeup of a nearby spiral galaxy. The subject is NGC 2835, which lies 35 million light-years away in the constellation Hydra (The Water Snake).

    A previous Hubble image of this galaxy was released in 2020, and the NASA/ESA/CSA James Webb Space Telescope turned its gaze toward NGC 2835 in recent years as well. Do you see anything different between today’s image of NGC 2835 and the previously released versions? Overall, NGC 2835 looks quite similar in all of these images, with spiral arms dotted with young blue stars sweeping around an oval-shaped center, where older stars reside.

    This image differs from previously released images because it incorporates new data from Hubble that captures a specific wavelength of red light called H-alpha. The regions that are bright in H-alpha emission can be seen along NGC 2835’s spiral arms, where dozens of bright pink nebulae appear like flowers in bloom. Astronomers are interested in H-alpha light because it signals the presence of several different types of nebulae that arise during different stages of a star’s life. Newborn massive stars create nebulae called H II regions that are particularly brilliant sources of H-alpha light, while dying stars can leave behind supernova remnants or planetary nebulae that can also be identified by their H-alpha emission.

    By using Hubble’s sensitive instruments to survey 19 nearby galaxies, researchers aim to identify more than 50,000 nebulae. These observations will help to explain how stars affect their birth neighborhoods through intense starlight and winds.

    Continue Reading