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  • Displaced households reported more unmet child mental health needs

    What the study found

    The study found that households displaced by a natural disaster were more likely to report that children in the household needed mental health treatment. Among households with reported pediatric mental health needs, displaced households were also more likely to report inadequate or no treatment.

    Why the authors say this matters

    The authors conclude that these unmet mental health needs may negatively affect children's long-term development. They also say that, as climate change progresses, targeted research is urgently needed to understand how best to meet these needs.

    What the researchers tested

    The researchers used repeated cross-sectional data from the U.S. Census Household Pulse Survey collected from June 1, 2023, through September 31, 2024. They analyzed adult reports about all children in the household and used multivariable logistic regression models to compare displaced households with other households.

    What worked and what didn't

    Households that had been displaced in the past year because of a natural disaster had higher odds of reporting that children needed mental health counseling or medication (odds ratio, 1.29; 95% CI, 1.12-1.48; P < .001). Among households with reported mental health needs, displaced households had higher odds of inadequate or no treatment even after adjustment for socioeconomic hardships (odds ratio, 0.55; 95% CI, 0.38-0.66; P < .001).

    What to keep in mind

    This was a cross-sectional study, so it shows associations rather than cause and effect. The abstract does not describe other limitations beyond the available survey-based design.

    • Displaced households were more likely to report that children needed mental health counseling or medication.
    • Among households with pediatric mental health needs, displaced households were more likely to report inadequate or no treatment.
    • The analysis used U.S. Census Household Pulse Survey data from June 2023 through September 2024.
    • The sample included 277,081 respondents representing about 35 million U.S. households with children.
    • The authors say the unmet needs may affect long-term child development.

  • Gallic acid ester activity changes with alkyl chain length and hydroxyl groups

    What the study found

    The study found that the antioxidant behavior of gallic acid ester derivatives changes with their chemical structure. In particular, longer alkyl chains were linked to lower DPPH radical scavenging activity, while some hydroxyl-substituted esters kept high activity.

    Why the authors say this matters

    The authors conclude that understanding how gallic acid ester structure affects antioxidant behavior may help guide the design of antioxidants for specific systems. They also note that modifying the carboxyl group may improve applicability.

    What the researchers tested

    The researchers designed and evaluated 14 gallic acid ester derivatives, grouped into alkyl esters and hydroxyl-substituted alkyl esters. They assessed antioxidant activity using DPPH radical scavenging and tested oxidation induction time in an oil system.

    What worked and what didn't

    DPPH radical scavenging activity declined as alkyl chain length increased, from 91.9% for GA-C3 to 55.6% for GA-C30. GA-EG, GA-GL, and GA-PT maintained more than 90% antioxidant activity. In the oil system, all derivatives prolonged oxidation induction time, with GA-C3 showing the largest increase at 2.15 h, while GA-EG, GA-GL, and GA-PT increased it by 1.92 to 2.03 h.

    What to keep in mind

    The abstract does not describe study limitations or experimental constraints beyond the tested compounds and systems. The findings are limited to the 14 gallic acid ester derivatives and the antioxidant measures reported here.

    • Gallic acid ester antioxidant activity decreased as alkyl chain length increased.
    • GA-C3 had 91.9% DPPH radical scavenging activity, while GA-C30 had 55.6%.
    • Hydroxyl-functionalized esters GA-EG, GA-GL, and GA-PT kept more than 90% antioxidant activity.
    • All tested derivatives prolonged oxidation induction time in an oil system.
    • GA-C3 produced the largest oil-system effect, extending induction time by 2.15 h.

  • Mudbrick remains revealed seven plant species in Sudan

    What the study found

    The study found that plant remains extracted from mudbrick at four Christian sites in Sudan included seven identified plant species. The authors also report some large unidentified deposits of wild-grass glumes, along with animal dung and insect remains.

    Why the authors say this matters

    The authors say the archaeobotanical evidence from these sites provided evidence of the economy and flora landscape in the El Mahas region. The study suggests this mudbrick material offers a new perspective on applying extracted plant remains in Sudan.

    What the researchers tested

    The researchers collected about four kilograms of material during fieldwork in April 2019, with one kilogram from each of four Christian mudbrick sites in the Mahas Archaeological project. They soaked the material in water, sieved it through 0.5 mm and 1 mm meshes, dried the separated material, and examined it under binoculars using fresh seeds and identification literature as reference.

    What worked and what didn't

    Seven plant species were identified from seeds and fruits: Triticum aestivum, Hordeum vulgare, Sorghum bicolor, Setaria italica, Adansonia digitate, Acacia nilotica, and Cyperus rotundus. The samples also contained unidentified glumes of wild grasses from the Poaceae family, plus some animal dung and insect remains.

    What to keep in mind

    The abstract does not describe detailed limitations, and the identified material came from only four sites in one region. Some remains were identified only at a broader taxonomic level, such as wild grasses from the Poaceae family.

    • Seven plant species were identified from mudbrick remains at four Christian sites in Sudan.
    • The identified plants included wheat, barley, sorghum, foxtail millet, baobab, Acacia nilotica, and Cyperus rotundus.
    • The samples also contained wild-grass glumes, animal dung, and insect remains.
    • The authors say the evidence reflects the economy and flora landscape of the El Mahas region.
    • The flora was divided into riverine wild flora, cultivated flora, and wild trees.

  • Socio-natural resilience shapes hydrosocial territory changes in the Yangtze program

    What the study found

    The study finds that socio-natural resilience can be used to understand how hydrosocial territories are reconfigured in China's Great Yangtze River Protection Programme. It describes this reconfiguration as a political process shaped by power relations, commodification of nature, and the tension between state control and market mechanisms.

    Why the authors say this matters

    The authors suggest this integrated perspective helps explain complex governance transformations in water governance. They also conclude that resilience is deeply embedded in power dynamics and hegemonic struggles, including upstream-downstream asymmetries shaped by hydro-hegemonic configurations.

    What the researchers tested

    The researchers analyzed field data from the Great Yangtze River Protection Programme. They combined the concept of socio-natural resilience with the analysis of hydrosocial territories to interpret changes in water governance and the roles of absorptive, adaptive, and transformative capacities.

    What worked and what didn't

    The study reports that hydrosocial territories with socio-natural resilience integrate technological, physical, social, and natural spaces and relations. It also states that actors navigate these spaces in different ways, such as local river chiefs facing bureaucratic pressure and provinces negotiating the price of clean water.

    What to keep in mind

    The abstract does not describe specific limitations or compare this approach with alternatives in detail. Its findings are presented in the context of the Great Yangtze River Protection Programme, so the scope described is limited to that case.

    • The study links socio-natural resilience to changes in hydrosocial territories in China's Great Yangtze River Protection Programme.
    • It describes reconfiguration of water governance as a political process, not only a technical adjustment.
    • The authors say absorptive, adaptive, and transformative capacities help explain how resilience operates in this setting.
    • The abstract highlights power asymmetries, including upstream-downstream relations and hydro-hegemonic configurations.
    • The study notes that actors such as local river chiefs and provinces navigate bureaucratic and pricing pressures.

  • Media-linked fear spreads through epidemic-related psychological states

    What the study found

    The study found that fear related to epidemics can spread through a population across five psychological states: susceptible, aware, exposed, fearful, and recovered. It also found that fear propagation is influenced by both interpersonal contact and media reports of terrible news.

    Why the authors say this matters

    The authors conclude that psychological factors, especially fear, shape behavioral responses during epidemics. They say these findings highlight the need for targeted public health interventions that address both direct interpersonal spread and fear spread through media influence.

    What the researchers tested

    The researchers proposed a social mathematical model for epidemic-related fear propagation under media influence. They calculated a basic reproduction number, analyzed its sensitivity to model parameters, and discussed local and global stability at fear-free and endemic equilibrium points. They also set model parameters using existing studies on COVID-19 fear in Turkey and ran numerical simulations.

    What worked and what didn't

    The model results showed that fear propagation worsens when awareness is lost, when people interact directly with exposed and fearful individuals, and when they encounter terrible news in the media. The abstract also states that fear concentrates people in the fearful compartment, where they interact with susceptible and aware compartments, affecting overall fear dynamics.

    What to keep in mind

    The abstract does not describe practical intervention tests, so the findings come from a mathematical model and simulations rather than a real-world intervention study. The parameter setting was based on existing studies on COVID-19 fear in Turkey, so the model's scope is tied to that context.

    • The model divides people into five psychological states: susceptible, aware, exposed, fearful, and recovered.
    • Fear can spread through direct interaction with exposed and fearful people and through terrible news in the media.
    • Loss of awareness is associated with stronger fear propagation.
    • The study calculates a basic reproduction number and examines stability at fear-free and endemic equilibrium points.
    • Numerical simulations were based on parameter values from existing studies on COVID-19 fear in Turkey.

  • Harsh parenting profiles were linked to non-suicidal self-injury

    What the study found

    The study found three profiles of harsh parenting: consistently high, medium, and low. Across these profiles, harsh parenting was indirectly associated with non-suicidal self-injury through parental alienation and core self-evaluation, and the indirect patterns differed in size and pathway by profile.

    Why the authors say this matters

    The authors conclude that the findings may inform tailored intervention efforts. They suggest the profile-specific risk patterns could be useful for understanding links between harsh parenting and non-suicidal self-injury among young adults.

    What the researchers tested

    The researchers studied 5,742 college students recruited through convenience sampling at three time points, each three months apart. They used latent profile analysis, a method for grouping people with similar patterns, and profile-specific serial mediation analysis to examine whether parental alienation and core self-evaluation explained the associations.

    What worked and what didn't

    Three parenting profiles were identified: consistently high harsh parenting, medium harsh parenting, and low harsh parenting. Harsh parenting showed indirect associations with non-suicidal self-injury through parental alienation and core self-evaluation across all profiles, but the magnitude and specific indirect pathways varied by profile.

    What to keep in mind

    The study used convenience sampling of college students, so the abstract does not indicate how broadly the findings apply beyond this group. The available summary also does not describe other limitations.

    • Three harsh parenting profiles were identified: consistently high, medium, and low.
    • Harsh parenting was indirectly associated with non-suicidal self-injury in all profiles.
    • Parental alienation and core self-evaluation statistically explained parts of the association.
    • The indirect pathways differed in magnitude and pattern across profiles.
    • The sample included 5,742 college students assessed at three waves over nine months.

  • YOLOv12 localized many cephalometric landmarks within 2 mm

    What the study found

    The study found that a YOLOv12-based system could automatically detect cephalometric landmarks on 2D lateral skull X-ray images. It localized 53.47% of landmarks within 1 mm and 80.57% within 2 mm.

    Why the authors say this matters

    The authors say this matters because cephalometric analysis, a quantitative evaluation of skeletal and soft-tissue relationships used in orthodontic diagnosis, treatment planning, and growth assessment, depends on accurate landmark identification. They note that manual landmarking is time-consuming and can vary between examiners, which can affect later measurements.

    What the researchers tested

    The researchers proposed an automatic landmark-detection pipeline based on YOLOv12, the latest version of the You-Only-Look-Once object-detection family. They trained and evaluated the model on a publicly available cephalometric dataset.

    What worked and what didn't

    The model successfully localized 53.47% of landmarks within 1 mm and 80.57% within 2 mm. The abstract does not report additional performance measures or a comparison with other methods.

    What to keep in mind

    The available summary does not describe limitations, and it does not provide details about dataset size, specific landmark types, or clinical testing beyond the reported accuracy thresholds. The results are limited to the publicly available dataset mentioned in the abstract.

    • The study tested a YOLOv12-based system for automatic cephalometric landmark detection.
    • Cephalometric analysis uses landmark coordinates to support orthodontic diagnosis, treatment planning, and growth assessment.
    • The model localized 53.47% of landmarks within 1 mm.
    • The model localized 80.57% of landmarks within 2 mm.
    • The abstract notes that manual landmark identification can be time-consuming and variable.

  • Carbon trading system improves well-being in Chinese cities

    What the study found

    The study found that China’s carbon emissions trading system generally improves people’s well-being. The authors also report that green technology innovation is the main channel linked to this improvement.

    Why the authors say this matters

    The authors conclude that the carbon emissions trading system may affect people’s well-being, not only emissions outcomes. They also suggest that the role of fiscal expenditure decentralization and marketization should be considered when assessing this policy.

    What the researchers tested

    The researchers used panel data from 273 prefecture-level Chinese cities from 2008 to 2020. They measured well-being with the Entropy Weight Method- Technique for Order Performance by Similarity to Ideal Solution (EWM-TOPSIS), a method for combining multiple indicators into a single score, and estimated policy effects with a staggered Difference-in-Differences (DID) model.

    What worked and what didn't

    The carbon emissions trading system was associated with higher well-being overall. The mechanism analysis suggests green technology innovation is the main pathway, while fiscal expenditure decentralization negatively moderates the effect and marketization degree does not have a moderating effect. The study also reports threshold effects for fiscal expenditure decentralization and marketization, and heterogeneous impacts across regions and city types.

    What to keep in mind

    The abstract does not provide details on potential limitations beyond the stated scope of 273 Chinese cities from 2008 to 2020. It also reports some subgroup results as statistically insignificant for resource-based cities, but does not give the underlying estimates in the abstract.

    • The carbon emissions trading system generally improves people’s well-being.
    • Green technology innovation is identified as the main channel for this effect.
    • Fiscal expenditure decentralization weakens the system’s impact on well-being.
    • Marketization degree does not moderate the effect in the abstract’s summary.
    • The effects differ by region and by whether cities are resource-based.

  • COVID-19 responders valued data and models, but faced data and staffing gaps

    What the study found

    The study found that people involved in the U.S. COVID-19 response generally found data, infectious disease models, and collaboration with researchers useful. It also found that the biggest problems, and the main priorities for future investment, were data availability and data quality.

    Why the authors say this matters

    The authors conclude that the findings provide concrete evidence of the value of data and modeling tools for epidemic response. They also say the results point to priorities for future investment in public health response.

    What the researchers tested

    The researchers surveyed 112 people engaged in COVID-19 response in the U.S., including data collectors, modelers, and users of these tools. The survey asked about the usefulness of data-driven tools, the most impactful challenges, and the most promising opportunities for future investment.

    What worked and what didn't

    Respondents overwhelmingly said data, models, and collaboration with researchers were useful. They identified higher-quality data, more granular data, and access to a wider variety of data types as important needs, and they also pointed to insufficient human resources, especially in public health institutions, as a major challenge. The abstract also notes the value of academics, along with challenges in science communication and political influences.

    What to keep in mind

    The study is based on a survey of 112 respondents in the U.S., so it reflects the views of that group. The abstract does not describe detailed survey methods, response rates, or limitations beyond the scope of the respondents surveyed.

    • Surveyed 112 people involved in the U.S. COVID-19 response.
    • Respondents found data, models, and researcher collaboration useful.
    • Data availability and data quality were the biggest challenges and top investment priorities.
    • Respondents wanted higher-quality, more granular, and more varied data.
    • Insufficient human resources, especially in public health institutions, was another major challenge.

  • Health workers were skeptical of standardized suicide risk assessments

    What the study found

    The study found that health workers in Norwegian hospitals were generally skeptical about the emphasis placed on standardized suicide risk assessments. Respondents also viewed suicide as at least partly preventable.

    Why the authors say this matters

    The authors say understanding health workers’ perspectives is important for understanding how clinicians think about suicide risk assessments, their attitudes toward guidelines, and their adherence to current guidelines. They also suggest these findings may have implications for future guideline development and suicide-prevention policy.

    What the researchers tested

    The researchers conducted an electronic survey of 183 health workers from three Norwegian hospitals. Participants included psychologists, doctors, nurses, and social workers, and they answered 18 questions about suicide risk assessments, suicide prevention, suicide risk factors, and Norwegian guidelines for suicide risk assessment.

    What worked and what didn't

    The responses differed significantly by professional group. There were also significant differences between hospitals in how staff perceived risk factors and standardized questions. The abstract says respondents were skeptical of standardized suicide risk assessments, but it does not report a specific intervention or comparison that worked better than another.

    What to keep in mind

    The abstract notes that there were some differences between professions and hospitals, which may be due to cultural and educational aspects. It also states that suicide risk prevention is complex and that methodological limitations should be considered. Future research is recommended to further explore health workers’ concerns about standardized suicide risk assessments.

    • Health workers in the survey were generally skeptical of standardized suicide risk assessments.
    • Respondents viewed suicide as at least partly preventable.
    • Responses differed significantly among professional groups.
    • Hospitals also differed significantly in perceptions of risk factors and standardized questions.
    • The study involved 183 health workers from three Norwegian hospitals.