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  • Review maps links between geopolitical risk and ESG

    What the study found

    The review found that the literature on geopolitical risk and ESG (environmental, social, and governance) dynamics is growing and centers on five interdependent themes: ESG performance, green finance, renewable energy, climate change, and financial stability. The authors also report that geopolitical risk has a significant impact on ESG dynamics.

    Why the authors say this matters

    The authors conclude that the findings have theoretical, practical, and policy implications for investors, policymakers, corporate managers, and academicians. The study also suggests there are important research gaps and future research directions at the intersection of geopolitical risk and ESG dynamics.

    What the researchers tested

    The researchers conducted a systematic literature review using the PRISMA guideline, which is a structured method for identifying and screening studies. They retrieved 71 peer-reviewed articles published up to 2025 from the Scopus and Web of Science databases and organized the review into bibliometric analysis and thematic synthesis.

    What worked and what didn't

    The bibliometric analysis and thematic synthesis together identified five major themes in the existing literature. The review also found a growing academic interest in the multifaceted impacts of geopolitical risk on ESG dynamics. The abstract does not report which specific approaches or findings worked better than others in the primary studies.

    What to keep in mind

    This is a review of published studies, not a new empirical test of geopolitical risk and ESG outcomes. The abstract does not provide detailed limitations beyond the scope of the review, although it does indicate that the literature still has gaps.

    • The review covered 71 peer-reviewed articles published up to 2025.
    • Geopolitical risk was described as having a significant impact on ESG dynamics.
    • Five recurring themes were identified: ESG performance, green finance, renewable energy, climate change, and financial stability.
    • The review used PRISMA and combined bibliometric analysis with thematic synthesis.
    • The authors say the literature still has research gaps and future research avenues.

  • Wait time modification policy was linked to higher transplant rates for Black candidates

    What the study found

    The study found that the 2023 wait time modification policy was associated with higher kidney transplant rates among Black candidates, especially those who were preemptive or already on dialysis. The authors report that the policy was not associated with a significant overall transplant-rate change for other racial and ethnic groups.

    Why the authors say this matters

    The authors conclude that correcting harms from race-based medicine may be a promising way to address racial inequities in kidney transplant access. They frame the policy as a response to the use of race-based kidney function estimates, which had delayed referral and waitlisting for Black patients.

    What the researchers tested

    The researchers used a quasi-experimental design with interrupted time series analysis. They analyzed an Organ Procurement and Transplantation Network database of all U.S. adult kidney candidates actively waitlisted from January 2022 through June 2025, and examined transplant rates by race and ethnicity, dialysis status, and whether transplants came from living or deceased donors.

    What worked and what didn't

    Among Black candidates, policy implementation was associated with an increase of 5.3 transplants per 1000 listings, followed by a decreasing trend over time. Among all other candidates, there was no significant immediate change in overall transplant rate, though a decreasing trend was also reported afterward. In secondary analyses, the policy was associated with increased overall and deceased-donor transplant rates among Black preemptive and postdialysis candidates, while no significant changes were seen in living-donor transplants for either group or in deceased-donor transplants for non-Black and/or Hispanic candidates.

    What to keep in mind

    This was an observational, quasi-experimental study, so the results describe associations rather than direct proof of cause and effect. The summary provided does not describe all potential limitations in detail, beyond the use of adjusted time-series methods and the specific U.S. waitlisted adult kidney-candidate population studied.

    • The OPTN wait time modification policy was associated with increased kidney transplant rates among Black candidates.
    • The increase was reported for Black preemptive and postdialysis candidates.
    • No significant overall transplant-rate change was found for candidates in other racial and ethnic groups.
    • From January 2023 through June 2025, 21,119 candidates received wait time modifications.
    • The modifications added a median of 1.7 years of waitlist time.

  • Advance tax credits can create repayment obligations

    What the study found

    Advance tax credits can lead to repayment obligations when recipients receive more than they are ultimately entitled to. The study reports that these repayments usually happen when income increases move people across credit phaseouts, or the income ranges where benefits are reduced.

    Why the authors say this matters

    The authors say policymakers have limited information about these repayments, their distributional impact, and the cost of repayment protections. The study suggests an approach for evaluating advance tax credit proposals and notes that advancing credits can contribute to noncompliance.

    What the researchers tested

    The researchers estimated repayment patterns, distributional impact, and the cost of repayment protections using tax data. They examined four advance credits: health-insurance premium tax credits, child tax credits, earned income tax credits, and stimulus checks.

    What worked and what didn't

    The study found that advance credit repayments usually result from income increases across phaseout ranges. Credits aimed at lower-income families have phaseouts that affect many people with income increases, which is associated with higher repayment rates.

    What to keep in mind

    The abstract does not provide numerical estimates in the available summary. It also does not describe the size of the distributional effects or the specific costs of repayment protections.

    • Advance tax credits may require recipients to repay excess amounts.
    • Repayments usually occur when income rises across a credit phaseout range.
    • Credits targeting lower-income families have higher repayment rates because many recipients experience income increases.
    • The study analyzed health-insurance premium tax credits, child tax credits, earned income tax credits, and stimulus checks.
    • The authors say policymakers have limited information about repayment effects and repayment protections.

  • LPS-GNN scales graph neural network training to 100-billion-edge graphs

    What the study found

    The study introduces LPS-GNN, a graph neural network framework that is described as scalable, low-cost, flexible, and efficient. The abstract says it can perform representation learning on a 100-billion-edge graph with a single GPU in 10 hours and improve User Acquisition performance.

    Why the authors say this matters

    The authors say existing scalable graph neural network solutions struggle to balance execution efficiency and prediction accuracy because message passing requires heavy computation and large GPU memory, especially on graphs with many neighbors. They present LPS-GNN as a framework meant to address these challenges.

    What the researchers tested

    The researchers examined existing graph partitioning methods and designed a partition algorithm called Label Propagation with METIS, or LPMetis. They also proposed a subgraph augmentation strategy and built a framework that can accommodate various graph neural network algorithms. The article says the framework was tested on public and real-world datasets and deployed on the Tencent platform.

    What worked and what didn't

    LPMetis is reported to outperform current state-of-the-art approaches on various evaluation metrics. The abstract says the subgraph augmentation strategy improves predictive performance, and the overall framework achieved performance lifts of 8.24% to 13.89% over state-of-the-art models in online applications. The abstract does not describe any failed approach in detail.

    What to keep in mind

    The summary does not provide detailed limitations, and it does not specify the exact datasets or all evaluation settings in the abstract. The reported results are based on the abstract's description of public and real-world tests.

    • LPS-GNN is presented as a scalable graph neural network framework.
    • The abstract says it can run on a 100-billion-edge graph with a single GPU in 10 hours.
    • The authors report a 13.8% improvement in User Acquisition scenarios.
    • LPMetis is described as outperforming current state-of-the-art partitioning methods.
    • Online applications reportedly saw performance lifts of 8.24% to 13.89% over state-of-the-art models.

  • Substance-induced psychosis and schizophrenia show similar cognitive impairment

    What the study found

    The meta-analysis found that cognitive impairment in substance-induced psychotic disorder and schizophrenia spectrum disorders may be quite similar. The only clear difference reported was a subtle but significant advantage in executive functions for substance-induced psychotic disorder.

    Why the authors say this matters

    The authors suggest that the harmful effect of substance use leading to psychosis may cause cognitive impairment as severe as that seen in schizophrenia. They also suggest that differences in executive functioning may help distinguish schizophrenia from substance-induced psychotic disorder.

    What the researchers tested

    The researchers systematically searched PubMed, Web of Science, and Google Scholar for comparative studies of cognitive functioning in schizophrenia spectrum disorders and substance-induced psychotic disorder. They included studies meeting their criteria, assessed risk of bias with QUADAS-2, and pooled results using a random-effects model with means and standard deviations converted to Hedges' g.

    What worked and what didn't

    Eighteen studies with 1,092 patients were included. The overall random-effects meta-analysis showed no overall effect, while the analysis by cognitive domain found a small but significant difference in executive functions favoring substance-induced psychotic disorder. Performance was comparable between groups in memory, attention, psychomotor speed, and intellectual functioning.

    What to keep in mind

    The abstract does not describe detailed study-level limitations beyond the risk-of-bias assessment. The findings are based on comparative studies included in the meta-analysis, so they apply to the populations represented in those studies.

    • The meta-analysis found broadly similar cognitive impairment in schizophrenia spectrum disorders and substance-induced psychotic disorder.
    • Executive functions were the only domain with a reported significant difference, favoring substance-induced psychotic disorder.
    • Memory, attention, psychomotor speed, and intellectual functioning were comparable between groups.
    • Eighteen studies and 1,092 patients were included after systematic database searches.
    • The authors suggest substance-related psychosis may impair cognition as severely as schizophrenia.

  • Sustainability influenced apparel choices, but barriers remained

    What the study found

    The study found that sustainability did influence apparel pre-purchase decision-making for some consumers, but not in the same way for all age groups. It also found different value orientations among older and younger consumers, including mindful consumption in both groups.

    Why the authors say this matters

    The authors conclude that the findings help explain the sustainability perspective in apparel buying and the value orientations guiding Indian consumers. They also say the study provides recommendations for global apparel brands and draws parallels with Schwartz’s Value Theory, which is a framework for describing human values.

    What the researchers tested

    The researchers conducted a qualitative study using in-depth interviews about the apparel pre-purchase stage. They examined how consumers evaluated alternatives, including eco-friendly and recyclable materials and brands with sustainability initiatives, using purposive and snowball sampling in an urban city in India. Content analysis was used to generate first-order concepts.

    What worked and what didn't

    Values of mindful consumption were found in both older and younger cohorts. Family value influence was reported by the younger cohort, while social responsibility was found in the older cohort. The younger cohort also used alternatives such as renting, borrowing, and thrifting, and was more price sensitive; barriers included lack of awareness, economic considerations, a materialistic mindset, and personal inhibitions. Consumers generally had a positive perception of brands’ sustainability initiatives, although some younger consumers were sceptical.

    What to keep in mind

    The study used a qualitative design and drew on interviews with consumers from one urban city in India, so the findings are based on that sample and setting. The abstract does not describe additional limitations.

    • Sustainability influenced apparel pre-purchase decisions, but not uniformly across age groups.
    • Older and younger consumers both showed mindful consumption values.
    • Younger consumers reported family value influence and were more price sensitive.
    • Older consumers reported social responsibility as a guiding value.
    • Barriers included low awareness, economic concerns, materialistic thinking, and personal inhibitions.
    • Most consumers viewed brands’ sustainability initiatives positively, though some younger consumers were sceptical.

  • Public reporting improved compliance stability in contractor regulation

    What the study found

    The study found that pure strategy solutions did not achieve evolutionary stability under any parameter settings. Mixed strategy equilibria were conditionally stable, especially when public reporting systems were in place. The authors also report that public monitoring supported more durable compliance than financial penalties alone.

    Why the authors say this matters

    The authors conclude that understanding how governments and contractors interact can help shape sustainable infrastructure development. They say the findings emphasize the importance of regulatory design and behavioral adaptation in reaching environmental and economic balance, and they suggest that public reporting and stronger monitoring should be prioritized.

    What the researchers tested

    The researchers used an integrated framework combining evolutionary game theory and system dynamics simulation to model interactions between contractors and regulatory agencies. They ran computational experiments to assess how penalties and public reporting systems affected behavioral stability in transportation infrastructure governance.

    What worked and what didn't

    Pure strategy solutions were reported not to be evolutionarily stable, regardless of parameter configuration. Mixed strategy equilibria showed conditional stability, particularly when public reporting systems operated. Financial penalties and public disclosure both affected short-term behavior, but only robust public monitoring produced sustainable compliance over longer periods.

    What to keep in mind

    The abstract describes a modeling and simulation study, so the findings are based on computational experiments rather than direct field observation. The limitations section in the available summary does not provide specific constraints beyond that. The stated scope is transportation infrastructure and contractor-government environmental strategy.

    • Pure strategy solutions did not achieve evolutionary stability in the model.
    • Mixed strategy equilibria were conditionally stable, especially with public reporting systems.
    • Financial penalties and public disclosure affected short-term behavior changes.
    • Robust public monitoring was associated with more sustainable compliance over time.
    • The study used evolutionary game theory combined with system dynamics simulation.

  • Southern land evaporation precedes many North China rain extremes

    What the study found

    The study found that extreme summer precipitation in North China was associated with four circulation patterns, and that the upward trend in these events was mainly driven by two east-side high-pressure types. It also found that terrestrial evaporation in southern China, especially from the Middle-Lower Yangtze River Basin, can act as a precursor signal before some North China extreme rainfall events.

    Why the authors say this matters

    The authors conclude that antecedent terrestrial moisture in southern China is a robust precursor signal for forecasting extreme precipitation in North China. The findings indicate that tracking these moisture and circulation patterns may help identify some extreme rain events in advance.

    What the researchers tested

    The researchers analyzed summer extreme precipitation in North China from 1979 to 2023 using CN05.1 precipitation data and ERA5 atmospheric data. They used Self-Organizing Map analysis to group atmospheric circulation patterns linked to 207 extreme precipitation days, then applied the Liang-Kleeman Information Flow method to diagnose causal links between antecedent land evaporation and extreme precipitation.

    What worked and what didn't

    Four circulation patterns were identified. Two east-side high-pressure types accounted for 56% of the extreme precipitation events and increased in frequency, while trough-type events driven by northern vortices declined. The information flow analysis suggested that land evaporation from the Middle-Lower Yangtze River Basin contributed causally to high-pressure type events with a 1–2 day lead time, while trough-type events drew terrestrial moisture mainly from South China with a 3–4 day transport lag.

    What to keep in mind

    The abstract does not describe detailed limitations or uncertainty beyond the reported analysis. The findings are specific to North China summer extreme precipitation during 1979–2023 and to the data and methods used in this study.

    • Extreme summer precipitation in North China was linked to four circulation patterns.
    • Two east-side high-pressure types made up 56% of the events and became more frequent.
    • Trough-type events driven by northern vortices declined over time.
    • Terrestrial evaporation from the Middle-Lower Yangtze River Basin was identified as a causal precursor for some events.
    • The lead time for this land-evaporation signal was about 1–2 days for high-pressure type events.

  • Chinese and U.S. media framed the earthquake differently

    What the study found

    The study found that Chinese Central Television (CCTV) and Cable News Network (CNN) framed the 2023 Turkey-Syria earthquake in different ways shaped by their journalistic cultures. CCTV emphasized Chinese rescue efforts and Chinese benefactors, while CNN emphasized the suffering of distant victims and presented studio anchors and experts as detached observers.

    Why the authors say this matters

    The authors conclude that these differences reveal contrasting national approaches to international humanitarianism. They suggest the U.S. frames distant suffering within a liberal humanitarian imaginary that emphasizes moral obligation, while China constructs a narrative of benevolent power to legitimize its emerging role in global humanitarianism.

    What the researchers tested

    The article examined how journalistic cultures in China and the U.S. shaped media discourses on the Turkey-Syria earthquake. It used multimodal analysis and critical discourse analysis to compare CCTV and CNN coverage.

    What worked and what didn't

    CCTV coverage focused on scenes of suffering while centering the actions of Chinese rescue teams and other Chinese benefactors. CNN coverage directly portrayed victims' pain and included studio anchors and experts analyzing the disaster's broader impact from a more detached position.

    What to keep in mind

    The abstract does not provide sample size, time period, or detailed coding procedures. It also does not describe any limitations beyond the scope of comparing CCTV and CNN coverage of this single disaster.

    • The study compared CCTV and CNN coverage of the 2023 Turkey-Syria earthquake.
    • CCTV emphasized Chinese rescue efforts and Chinese benefactors amid suffering.
    • CNN emphasized the suffering of victims and used detached studio commentary.
    • The authors link the differences to contrasting journalistic cultures.
    • The authors say the findings point to different national approaches to international humanitarianism.

  • Layered patient involvement broadened inclusion in a dental trial

    What the study found

    The study found that a layered patient and public involvement and engagement (PPIE) strategy gave the RETURN dental trial a more inclusive and meaningful form of involvement than a single approach would likely have provided. Different layers contributed different kinds of input, and together they broadened participation across the socio-economic spectrum.

    Why the authors say this matters

    The authors conclude that layered approaches can strengthen inclusivity in health inequalities research by combining multiple forms of involvement for different purposes and stages of a study. They also say this can help move beyond tokenism and support meaningful, context-sensitive involvement.

    What the researchers tested

    The paper presents a case study from the RETURN dental study. The researchers embedded a layered PPIE strategy that included a lay researcher, a patient reference group, a community advisory group, and grassroots engagement activities, with both one-off and long-term forms of involvement.

    What worked and what didn't

    More than 300 PPIE collaborators contributed to developing the study, including co-producing the intervention and patient-facing materials, refining patient information sheets and questionnaires, advising on recruitment, and supporting dissemination. The abstract says each layer contributed distinct input, and that differing perspectives across layers provided valuable insights. It also notes that each layer had different contributions, challenges, and lessons learned, but it does not describe specific failures in detail.

    What to keep in mind

    This is a case study from one dental trial, so the abstract does not show how the approach would perform in all research settings. The abstract does not give detailed quantitative comparisons between the layered strategy and a single-layer approach, and it does not list specific limitations beyond noting differing challenges across layers.

    • The RETURN dental study used a layered PPIE strategy rather than a single involvement group.
    • The approach included a lay researcher, a patient reference group, a community advisory group, and grassroots engagement activities.
    • More than 300 PPIE collaborators helped shape the study, including materials, questionnaires, recruitment, and dissemination.
    • The authors say the layered approach was more inclusive and meaningful than a single layer alone.
    • The abstract says different layers brought different perspectives, challenges, and lessons learned.