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  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Fused deep learning classified enamel caries with high accuracy

    What the study found

    The study found that a quantum-simulated fused deep learning framework could classify enamel caries severity from intraoral photographs with high accuracy and visual explainability. It performed best with Neural Network and Random Forest classifiers.

    Why the authors say this matters

    The authors conclude that the framework is a step toward a reliable, transparent AI-assisted diagnostic tool. They also say that a high-rigour reference standard and future multicentre validation are needed to confirm clinical generalizability.

    What the researchers tested

    The researchers developed and validated an explainable AI framework for automated classification of enamel caries severity from intraoral photographs. It combined deep features from a lightweight DentXCaries convolutional neural network and a modified attention-based ResNet50 using a quantum-simulated entanglement fusion strategy, then classified the features with several machine learning algorithms. The models were trained and evaluated on the public Caries-Spectra dataset with 2,000 images in three classes: Sound Enamel, Early-Stage Enamel Caries, and Advanced Enamel Caries.

    What worked and what didn't

    The fused framework achieved its best results with Neural Network and Random Forest tree classifiers, reaching 99.33% accuracy and F1-score. The fusion mechanism also significantly reduced inter-class confusion compared with individual models. The abstract does not report which specific approaches performed worse beyond noting that the fused framework improved over individual models.

    What to keep in mind

    The abstract notes that clinical generalizability still needs confirmation through a high-rigour reference standard and future multicentre validation. It also does not provide detailed limitations for the dataset, the explainability method, or the comparison models.

    • The framework classified sound enamel, early-stage enamel caries, and advanced enamel caries from intraoral photographs.
    • It combined features from two custom models: DentXCaries CNN and a modified attention-based ResNet50.
    • The best reported performance was 99.33% accuracy and F1-score with Neural Network and Random Forest classifiers.
    • Grad-CAM was used to provide visual interpretability.
    • The authors say multicentre validation is still needed to confirm clinical generalizability.

  • Nonreciprocal stiffness and damping separately control wave behavior

    What the study found

    The study found that when nonreciprocal stiffness and nonreciprocal damping are combined in an elastic lattice, they form a decoupled control mechanism. In this system, nonreciprocal stiffness governs temporal amplification rate, while nonreciprocal damping independently tunes group velocity and oscillation frequency.

    Why the authors say this matters

    The authors conclude that this decoupling offers a theoretical framework for designing active metamaterials, which are engineered materials with properties not found in ordinary materials, with more versatile control over wave propagation characteristics.

    What the researchers tested

    The researchers systematically investigated wave dynamics in an elastic lattice that combines nonreciprocal stiffness with viscous damping. They first examined how conventional damping counteracts gain, then introduced a non-dissipative form of nonreciprocal damping called gyroscopic damping.

    What worked and what didn't

    The coexistence of nonreciprocal stiffness and nonreciprocal damping produced separate control of different wave behaviors. The abstract reports that nonreciprocal stiffness controlled amplification, while nonreciprocal damping tuned group velocity and oscillation frequency; it also notes enhanced net amplification for slower-propagating waves and boundary-induced wave interference from reflected wave trajectories with different growth rates.

    What to keep in mind

    The abstract presents a theoretical study, and it does not describe experimental validation. It also does not provide detailed limits, device performance values, or implementation constraints in the available summary.

    • The study examined wave dynamics in an elastic lattice with nonreciprocal stiffness and damping.
    • Conventional damping was found to counteract the system's gain.
    • Gyroscopic damping was introduced as a non-dissipative form of nonreciprocal damping.
    • Nonreciprocal stiffness governed temporal amplification rate.
    • Nonreciprocal damping independently tuned group velocity and oscillation frequency.
    • The abstract describes enhanced net amplification for slower waves and boundary-induced wave interference.

  • Village heads used government aid to sustain political power

    What the study found

    The study found that village heads in Indonesia used government assistance to perpetuate their power during the Reform era. The abstract says this assistance helped maintain loyalty, influence voting choices, and made village heads an important electoral asset for political elites.

    Why the authors say this matters

    The authors conclude that the findings changed the landscape of patronage, which is a system of political support based on favors and resources, from lower-level politics to higher-level electoral politics in Indonesia. They also say the study changed political behavior and electoral perception.

    What the researchers tested

    The researchers used library research, intensive field observations, and in-depth interviews. Their fieldwork was conducted in Subang Regency, West Java, to explore the role of village heads during Indonesia's Reform era and how they tried to keep power.

    What worked and what didn't

    The abstract reports three main findings: village heads used government aid to maintain loyalty and influence voting, and they became valuable to political elites at the district and central levels. It also says some village heads continued to receive government support through their political networks even when they did not support a particular elected regent candidate.

    What to keep in mind

    The summary describes one case study area, Subang Regency in West Java, so the abstract does not show whether the same pattern applied everywhere in Indonesia. The abstract also does not provide detailed evidence, sample size, or specific limitations.

    • Village heads used government assistance to perpetuate power.
    • Government assistance was used to maintain loyalty and influence voting choices.
    • Village heads became an electoral asset for political elites at district and central levels.
    • Some village heads still received government support through political networks even without backing a specific regent candidate.
    • The authors say the findings shifted patronage from lower-level to higher-level electoral politics in Indonesia.

  • 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.

  • 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.