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  • Presidential approval co-moves with broad macroeconomic conditions

    What the study found

    The study found that U.S. presidential approval is persistent over time and is linked to macroeconomic conditions in several ways. The strongest and most lasting associations were with public and private sector activity, while monetary and labor market conditions were related in more varied ways.

    Why the authors say this matters

    The authors conclude that the findings provide a descriptive characterization of how presidential approval co-moves with a broad set of macroeconomic conditions. The study suggests that high-dimensional screening combined with dynamic analysis can complement simpler approaches in the approval literature.

    What the researchers tested

    The researchers examined economic correlates of U.S. presidential approval from 1953 to 2023 using a large macro-financial dataset. They used penalized variable-selection methods, Elastic Net and Smoothly Clipped Absolute Deviation (SCAD), to identify economically relevant predictors, then grouped the selected predictors into six economic categories and analyzed them in a Structural Vector Autoregression (SVAR) framework.

    What worked and what didn't

    Three descriptive patterns emerged. Presidential approval showed strong persistence and retrospective dynamics, with economically relevant information appearing most clearly at short horizons and around one year; public and private sector activity had the strongest and most persistent associations; and housing and mortgage indicators tended to show delayed responses, while recession indicators showed short-run dynamics consistent with temporary rally-type patterns.

    What to keep in mind

    The abstract presents the findings as descriptive rather than causal. It also does not describe the full set of limitations, so scope constraints beyond the 1953 to 2023 period and the use of macro-financial data are not detailed in the available summary.

    • U.S. presidential approval from 1953 to 2023 co-moved with a broad set of macroeconomic conditions.
    • Public and private sector activity showed the strongest and most persistent associations with approval.
    • Monetary and labor market conditions were related to approval in systematic but heterogeneous ways.
    • Housing and mortgage indicators were associated with delayed responses.
    • Recession indicators showed short-run dynamics consistent with temporary rally-type patterns.

  • Android app prototype supports receivables management in tire-recycling MSMEs

    What the study found

    The study found that the design stage produced an initial Android-based Tire-Math prototype for receivables management. The prototype includes automated calculation of receivables balances and a digital repayment reminder feature.

    Why the authors say this matters

    The authors conclude that integrating business mathematics through digital platforms is a crucial innovation for strengthening managerial capabilities and the sustainability of MSME tire-recycling businesses. The findings indicate that the application may help business actors monitor cash flows more accurately, according to the study.

    What the researchers tested

    The researchers used a research and development approach with a 4D model: Define, Design, Develop, and Disseminate. This article reports only the Define and Design stages, based on in-depth interviews with business owners, analysis of operational tasks, a descriptive analysis of user needs, an interview guide, and a wireframe validation sheet.

    What worked and what didn't

    The design stage resulted in an initial prototype that automated receivables balance calculations and added repayment reminders. The abstract does not report testing beyond the design stage, so it does not state whether the prototype was evaluated in use or what did not work.

    What to keep in mind

    The study was limited to the Define and Design stages of the 4D model, so later development and dissemination were not covered. The abstract also does not describe performance testing, user outcomes, or detailed limitations beyond this scope.

    • The study developed an Android-based Tire-Math prototype for receivables management.
    • The prototype automates receivables balance calculations and includes repayment reminders.
    • The research used a research and development method with a 4D model.
    • Only the Define and Design stages were completed in the reported study.
    • The authors say digital integration of business mathematics may strengthen managerial capability and sustainability.

  • Cardiac biomarkers rise with hypertensive disorders in pregnancy

    What the study found

    Pregnant women with hypertensive disorders had higher levels of several cardiac and tissue injury biomarkers than normotensive pregnant women, and the increases were greatest in preeclampsia. The strongest rise was seen in NT-proBNP, a biomarker of ventricular wall stress.

    Why the authors say this matters

    The authors conclude that these biomarkers may help with risk assessment and clinical monitoring in hypertensive disorders of pregnancy. They also state that integrating specific biomarkers into routine screening could support earlier risk stratification and improve maternal-foetal outcomes.

    What the researchers tested

    The researchers conducted a cross-sectional study at a tertiary care hospital in Central India from May 2023 to May 2024. They compared 312 pregnant participants: normotensive women, women with gestational hypertension, and women with preeclampsia, measuring biomarkers including CPK-MB, LDH, SGOT, high-sensitivity C-reactive protein, glucose, creatinine, troponin I, and NT-proBNP.

    What worked and what didn't

    There was no significant difference in age or body mass index among the groups. Levels of NT-proBNP, troponin I, CPK-MB, SGOT, and LDH increased stepwise from normotensive pregnancy to gestational hypertension to preeclampsia, and these differences were reported as significant.

    What to keep in mind

    This was a cross-sectional study, so it measured biomarker levels at one point in time rather than tracking changes over time. The abstract does not describe other limitations.

    • 312 pregnant participants were grouped into normotensive, gestational hypertension, and preeclampsia categories.
    • NT-proBNP rose from 29 pg/mL in normotensive women to 40 pg/mL in gestational hypertension and 155 pg/mL in preeclampsia.
    • Troponin I, CPK-MB, SGOT, and LDH were significantly higher in the hypertensive disorder groups.
    • Age and body mass index did not differ significantly between groups.
    • The authors conclude the biomarkers may support risk assessment and clinical monitoring.

  • SWAT review links land use change and climate impacts in agricultural watersheds

    What the study found

    The review found that SWAT (Soil and Water Assessment Tool) studies in developing-country agricultural watersheds often report satisfactory to very good model performance. It also found that medium-sized basins are the most commonly studied, and that land use and land cover change is strongly linked with hydrological change.

    Why the authors say this matters

    The authors conclude that the review offers insights for effective water resource management in agricultural watersheds. They also say it helps link basin scale, climate regime, model reliability, and best management practice effectiveness.

    What the researchers tested

    The researchers compiled 143 studies published between 2017 and 2025 using the PRISMA research protocol and analyzed the data collection using the PICO method. They examined SWAT model performance, watershed characteristics, land use land cover change, climate change, and best management practices in developing regions.

    What worked and what didn't

    Medium-sized basins, defined as 10,001–100,000 km², accounted for about 33% of the studies. Most studies reported R² and NSE values above 0.5, which the abstract describes as satisfactory to very good results; it also reports a strong correlation between land use and hydrological changes with R² = 0.923. The review identifies best management practice combinations in series, including structural and management practices, as important for watershed protection and sustainable agricultural practice.

    What to keep in mind

    The abstract says the paper provided narrative-driven regional analyses with limited statistical integration. It also notes that future research should focus on data collection and calibration methods for SWAT modeling, climate change projections, extreme event scenarios, and long-term analysis linked to sustainable agriculture planning.

    • 143 studies from 2017–2025 were reviewed using PRISMA and PICO.
    • Medium-sized basins (10,001–100,000 km²) made up about 33% of SWAT applications.
    • Most studies reported R² and NSE values greater than 0.5.
    • The abstract reports a strong land use–hydrology relationship with R² = 0.923.
    • The review highlights combined structural and management best management practices.

  • Students reported mixed satisfaction in primary care training units

    What the study found

    The study found that students in the final semesters of medical training reported mixed satisfaction with conditions in primary health care units during community service preparation. Overall, the stage was rated 8.68 out of 10, but some community, unit, and academic conditions were viewed unfavorably.

    Why the authors say this matters

    The authors conclude that improving primary care has a significant impact on both medical education and the community. They also suggest that the satisfaction findings point to areas in need of improvement.

    What the researchers tested

    The researchers carried out a quantitative, observational, cross-sectional, and descriptive study at the University of Sonora from February 2023 to January 2024. They used a questionnaire based on the Official Mexican Standard and the university's internal guidelines, and 85 of 104 eligible students participated.

    What worked and what didn't

    Students reported unfavorable views in community reception, including respectful treatment, community safety, and safe access. They also reported dissatisfaction with some health unit conditions such as infrastructure, safety, furniture, and available materials, while academic conditions were generally described as satisfactory.

    What to keep in mind

    The summary does not describe long-term outcomes or compare these students with other groups. The findings are limited to one university and the students who participated in this survey.

    • 85 of 104 eligible students took part in the survey.
    • The overall stage was rated 8.68 on a 1–10 scale.
    • Unfavorable community perceptions included respectful treatment, safety, and safe access.
    • Students reported dissatisfaction with infrastructure, safety, furniture, and materials in some health units.
    • Academic conditions were described as satisfactory overall.

  • Voluntary effort was linked to greater accuracy motivation

    What the study found

    The study found that when people chose to exert maximal mental effort, they showed a greater preference for getting answers correct. The researchers did not find a consistent group-level change in the habitual bias toward reading words in the task.

    Why the authors say this matters

    The authors conclude that voluntary investment of cognitive effort may be driven mainly by stronger motivation for accuracy, rather than by directly suppressing habitual response tendencies. They also suggest this computational approach may be relevant in clinical settings where intentional effort allocation is impaired in psychiatric and neurological disorders.

    What the researchers tested

    Twenty healthy young adults completed the Stroop task, in which they had to name the font color of a color word while ignoring the word itself. They did this under two conditions: with maximum exertion and as relaxed as possible. Their behavior was modeled with a two-layer generative model based on active inference, a computational framework that describes behavior in terms of expected outcomes and internal beliefs.

    What worked and what didn't

    The model estimated two latent parameters: a habitual bias toward word reading over color naming, and motivation to perform the task correctly. Maximal effort was associated with increased motivation for correct performance. By contrast, the relationship with habitual word-reading bias did not show a consistent group effect.

    What to keep in mind

    The abstract describes a small study with twenty healthy young adults, so the findings are limited to that group. It also does not report detailed limitations beyond the suggested clinical relevance.

    • Twenty healthy young adults completed the Stroop task under maximal effort and relaxed conditions.
    • A computational active inference model estimated habitual word-reading bias and motivation for correct performance.
    • Voluntary maximal effort was associated with greater preference for correct performance.
    • The study did not find a consistent group effect for habitual word-reading bias.
    • The authors suggest the approach may be relevant to disorders involving impaired intentional effort allocation.

  • Donor factors linked to pancreas transplant use changed over time

    What the study found

    The study found that multiple donor factors were associated with whether a pancreas was used for transplant, and that these decisions changed over time. The most influential continuous factors were age, body mass index (a measure of body fat based on height and weight), and peak creatinine (a kidney function marker).

    Why the authors say this matters

    The authors conclude that the findings show significant shifts in pancreas transplant decision-making over time. They say growing reluctance to use donation after circulatory death (DCD, donation after the heart has stopped) donors is an area to focus U.S. pancreas utilization efforts, while increasing acceptance of hepatitis C positive and intravenous drug use (IVDU) donors may support broader use of these donor groups globally.

    What the researchers tested

    The researchers conducted a population-cohort study using U.S. Organ Procurement and Transplant Network registry data from 2010 to 2024. They used multivariable regression models to test associations between donor characteristics and pancreas utilization, and they used restricted cubic splines to model non-linear relationships plus interaction terms with donation date to examine changes over time.

    What worked and what didn't

    The study identified 23 donor factors significantly associated with pancreas utilization across 133,986 donors and 14,612 transplants. Donation after circulatory death had much lower odds of utilization, with 92% lower odds than the comparison group, while age, body mass index, and peak creatinine showed significant non-linear relationships with utilization. Over time, clinicians became less willing to use DCD donors and older donors, but more willing to use hepatitis C positive and IVDU donors.

    What to keep in mind

    The abstract does not describe study limitations in detail. The data come from U.S. registry records, so the findings directly reflect U.S. practice and the time period studied.

    • Twenty-three donor factors were significantly associated with pancreas utilization.
    • Age, body mass index, and peak creatinine were the most important continuous donor factors.
    • Donation after circulatory death was associated with 92% lower odds of pancreas use.
    • Reluctance to use DCD donors and older donors increased over time.
    • Acceptance of hepatitis C positive and IVDU donors increased over time.

  • Magnetic charge alters periodic orbits and waveforms near regular black holes

    What the study found

    The study found that magnetic charge in a regular black hole changes periodic, zoom-whirl orbits and the gravitational waveforms produced by extreme mass ratio inspirals, or EMRIs, which are systems where a stellar-mass object spirals into a supermassive black hole. It also found that increasing the magnetic charge reduces the radii of the marginally bound orbit and the innermost stable circular orbit.

    Why the authors say this matters

    The authors conclude that future gravitational wave observations may constrain the properties of magnetically charged regular black holes, and they say this would deepen understanding of the gravitational imprint of regular black holes.

    What the researchers tested

    The researchers studied periodic geodesic orbits around a magnetically charged black hole within a regular black hole framework. They modeled a stellar-mass object as a timelike particle inspiraling into a supermassive black hole and analyzed the resulting orbital motion and gravitational waveforms with a semi-analytical approach.

    What worked and what didn't

    The calculations showed that the magnetic charge parameter reduces both the marginally bound orbit radius and the innermost stable circular orbit radius. The study also found that the charge parameter significantly changes zoom-whirl orbital dynamics and leads to notable changes in waveform structure.

    What to keep in mind

    The summary does not describe experimental data or observational tests; it describes a modeling and calculation study. Limits, caveats, and uncertainty estimates are not described in the available abstract.

    • Magnetic charge changes periodic zoom-whirl orbits around a regular black hole.
    • The marginally bound orbit radius and innermost stable circular orbit radius both decrease as magnetic charge increases.
    • The gravitational waveforms from EMRIs are altered by the charge parameter.
    • The authors say future gravitational wave observations may help constrain magnetically charged regular black holes.

  • Problematic short-form video users show more impulsive decisions

    What the study found

    The study found that problematic short-form video users showed weaker inhibitory control than matched controls. The authors link this to a more impulsive decision-making pattern, rather than to abnormal information accumulation or response bias.

    Why the authors say this matters

    The authors suggest these findings help explain the cognitive processes behind inhibitory control deficits in problematic short-form video users. They also state that the study offers novel implications for intervention in behavioral addictions.

    What the researchers tested

    The researchers compared 30 problematic short-form video users with 28 matched controls. Participants completed a go/no-go task, which measures the ability to withhold a response, and a contingency degradation task, which assesses habitual tendencies; the go/no-go data were analyzed with a drift-diffusion model, or DDM, to estimate latent information-processing mechanisms.

    What worked and what didn't

    Compared with controls, problematic short-form video users showed a higher false-alarm rate and lower boundary separation in the go/no-go task. There were no significant group differences in the other DDM parameters. In the contingency degradation task, they showed a stubborn ratio score during action-outcome congruence transitions, and this score correlated positively with the boundary separation index.

    What to keep in mind

    The abstract does not describe limitations in detail. The findings come from a relatively small sample and from the tasks and measures used in this study.

    • Problematic short-form video users showed a higher false-alarm rate than matched controls.
    • They also showed lower boundary separation in the go/no-go task.
    • No significant group differences were found in the other drift-diffusion model parameters.
    • In the contingency degradation task, problematic short-form video users showed a stubborn ratio score during action-outcome congruence transitions.
    • The authors link the inhibitory control deficit to a more impulsive decision-making pattern and insensitivity to task-setting changes.

  • Milky Way circular velocity curve measured from element abundances

    What the study found

    The study presents a new data-driven method for measuring the Milky Way’s circular velocity curve by using gradients in stellar element abundances. The authors report a circular velocity at the solar radius of 235.3 km s−1 from the [Mg/Fe] abundance ratio, along with estimates of the radial and azimuthal frequencies and the Oort constants.

    Why the authors say this matters

    The findings indicate that abundance ratios can trace stellar positions and motions in the Galactic disk, which the authors say enables an empirical measurement of the Galaxy’s circular velocity curve, epicyclic frequency, and azimuthal frequency. The study suggests this provides a way to study kinematic gradients across the Milky Way’s disk.

    What the researchers tested

    The researchers combined stellar surface abundances from the APOGEE survey with kinematic data from the Gaia mission. They tested a method that uses element abundance gradients in the plane of radial kinematics, focusing on average [Fe/H] and [Mg/Fe] patterns in the Milky Way disk.

    What worked and what didn't

    The results confirm ordered structure in the Milky Way’s disk in terms of average [Fe/H] and [Mg/Fe]. The authors suggest that 〈[Fe/H]〉 traces the radial positions of stars in the disk, while 〈[Mg/Fe]〉 traces orbital excursions around that radius. The method produced estimates of v_c,⊙ = 235.3−3.7+2.8 km s−1, κ0,R⊙ = 36.9−1.0+0.8 km s−1 kpc−1, Ω0,R⊙ = 28.5−0.1+0.4 km s−1 kpc−1, and Oort constants A = 16.5−0.1+0.1 km s−1 kpc−1 and B = −11.9−0.3+0.1 km s−1 kpc−1.

    What to keep in mind

    The abstract provided does not describe major limitations, but the reported measurements are tied to the solar radius and to the abundance ratio [Mg/Fe] as the most constraining tracer. The summary also stops before giving the full expression for the radial acceleration at the solar radius.

    • A new data-driven method uses stellar element abundance gradients to measure the Milky Way’s circular velocity curve.
    • APOGEE abundance data and Gaia kinematics were combined in the analysis.
    • Average [Fe/H] and [Mg/Fe] show ordered structure across the Milky Way’s disk.
    • The study reports v_c,⊙ = 235.3 km s−1 from [Mg/Fe] at the solar radius.
    • The authors also estimate the radial and azimuthal frequencies and the Oort constants.