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  • Justice perceptions are linked to hospital reputation and patient citizenship behavior

    What the study found

    The study found significant associations between distributive and informational justice and corporate reputation in public hospitals. It also found that multifocal trust mediated the relationship between justice perceptions and corporate reputation, and that corporate reputation was strongly associated with patient citizenship behaviour.

    Why the authors say this matters

    The authors conclude that their findings offer practical recommendations for hospital administrators on managing hospital reputation and supporting patient-centred practices in public hospitals. The study suggests this is relevant in non-competitive public healthcare environments.

    What the researchers tested

    The researchers used justice theory and social exchange theory to examine links among justice perceptions, corporate reputation, multifocal trust, patient satisfaction, and patient citizenship behaviour. They conducted a cross-sectional survey of 450 patients who recently received care in public hospitals in North Cyprus and analyzed the data using PLS-SEM, a statistical method for testing direct, mediating, and moderating relationships.

    What worked and what didn't

    Distributive justice and informational justice showed significant associations with corporate reputation. Multifocal trust showed a mediating association between justice perceptions and corporate reputation, and corporate reputation was strongly associated with patient citizenship behaviour. Patient satisfaction did not moderate the relationship between trust and corporate reputation.

    What to keep in mind

    The study used a cross-sectional survey, so the abstract does not describe changes over time. The available summary does not report additional limitations beyond the study setting in public hospitals in North Cyprus.

    • Distributive and informational justice were significantly associated with corporate reputation.
    • Multifocal trust mediated the link between justice perceptions and corporate reputation.
    • Corporate reputation was strongly associated with patient citizenship behaviour.
    • Patient satisfaction did not change the trust–reputation relationship.
    • The study surveyed 450 patients in public hospitals in North Cyprus.
  • High donor TNFα is linked to poorer kidney graft outcomes

    What the study found

    Higher levels of circulating TNFα, a signaling protein involved in inflammation, in deceased donors were associated with worse kidney graft function and lower graft survival after transplantation. The association was seen after brain death donation but not after circulatory death donation.

    Why the authors say this matters

    The authors conclude that monitoring plasma inflammation during donor management may provide a window to assess and intervene to improve optimization and quality of deceased donor organs. They suggest this could help identify donor kidney injury before transplantation.

    What the researchers tested

    The researchers measured TNFα and its receptors TNFR1 and TNFR2 in 1,018 longitudinal plasma samples collected during donor management from 596 deceased and 34 living donors across multiple centers in the U.K. They also compared plasma findings with paired kidney biopsy samples and tested effects in vitro using human podocytes, specialized kidney cells.

    What worked and what didn't

    High donor plasma TNFα levels were associated with inferior graft function at 12 months and up to 60 months, and with reduced graft survival up to 96 months. These associations were replicated in a validation cohort and remained after adjustment for donor and recipient covariates; they were found in donations after brain death, but not in donations after circulatory death. In paired samples, higher plasma TNFα correlated with increased expression of kidney injury markers, and in vitro exposure of human podocytes to TNFα donor plasma produced TNFR1 signaling-driven injury profiles that were reduced by infliximab.

    What to keep in mind

    The abstract does not describe detailed study limitations beyond the observed differences between donation after brain death and donation after circulatory death. The findings are based on donor plasma measurements, paired biopsy analysis, and cell experiments, so the summary provided here is limited to those reported data.

    • Higher donor TNFα was associated with worse kidney graft function and survival after transplantation.
    • The association was reported for donations after brain death, but not after circulatory death.
    • The findings were replicated in a validation cohort and held after covariate adjustment.
    • Higher TNFα correlated with increased kidney injury markers in paired donor biopsy samples.
    • In vitro, TNFα donor plasma triggered TNFR1 signaling-driven injury profiles in human podocytes, and infliximab reduced that response.
  • AI-integrated animation teaching improved training and outcomes

    What the study found

    The study found that an AI-integrated teaching path for animation was associated with better teaching outcomes than traditional teaching. It also reported improved animation generation performance when a generative AI and human pose estimation (the process of identifying body position from images or video) framework was used.

    Why the authors say this matters

    The authors conclude that this path can bridge the gap between technological application and artistic thinking. They say it offers a systematic solution for animation education and related creative technology fields.

    What the researchers tested

    The researchers constructed an animation practice teaching path that integrates AI technology. They proposed an animation design framework combining generative AI with human pose estimation and developed an animation-oriented optimization strategy for Transformer-based human pose estimation.

    What worked and what didn't

    The optimized model reached a stable training plateau after 15 epochs, with error reduced to 0.15. The animation generation quality score improved to 92 points and efficiency increased by 38%, and the AI-integrated teaching group performed better than the traditional teaching group on technical application and artistic creation indicators.

    What to keep in mind

    The abstract does not describe the size of the teaching sample, the detailed evaluation procedure, or the setting of the experiment. It also does not provide specific limitations beyond noting challenges in animation education such as lagging technological iteration and insufficient interdisciplinary integration.

    • The study built an AI-integrated practice teaching path for animation majors.
    • It combined generative AI with human pose estimation for animation design.
    • The optimized model stabilized after 15 epochs, with error reduced to 0.15.
    • Animation generation quality reached 92 points, and efficiency increased by 38%.
    • The AI-integrated teaching group outperformed the traditional group on multiple indicators.
  • CAES model supports active power regulation services

    What the study found

    The study proposes a compressed air energy storage (CAES) modeling method for participation in frequency response and peak regulation active power services. The authors report that a dual closed-loop control strategy, using a PQ outer loop and a current inner loop, can better meet frequency regulation requirements.

    Why the authors say this matters

    The authors say this is important because CAES needs an accurate mathematical-physical model to understand and analyze how it operates in active power regulation services. They conclude that better meeting frequency regulation requirements may support secure, high-quality, and economic operation in new power systems.

    What the researchers tested

    The researchers developed a CAES model for grid connection and for participation in frequency regulation and peak regulation auxiliary services. They used a 690 V/50 Hz, 500 kW CAES system as a case study and established the model in MATLAB/Simulink.

    What worked and what didn't

    The abstract says the proposed strategy better meets the power system's frequency regulation requirements. It also says the model is designed to improve the efficiency of the three-stage grid connection of CAES and to address active power regulation needs. The abstract does not report detailed comparative data or any specific failures.

    What to keep in mind

    The available summary does not provide quantitative results, experimental comparisons, or detailed limits of the model. It also does not describe how broadly the findings apply beyond the case study system.

    • The study proposes a CAES modeling method for frequency response and peak regulation services.
    • A PQ outer loop and current inner loop dual closed-loop control strategy is used.
    • The model was tested on a 690 V/50 Hz, 500 kW CAES system in MATLAB/Simulink.
    • The abstract says the strategy better meets frequency regulation requirements.
    • No detailed numerical results or limitations are given in the abstract.
  • Sediment extracts boosted Microcystis growth most

    What the study found

    The study found that different nutrient sources affected Microcystis growth and microcystin (MC, a toxin produced by some cyanobacteria) production in different ways. Sediment extracts produced the highest growth rates, while MC levels peaked when the cultures reached the stationary phase, the stage when growth slows after rapid increase.

    Why the authors say this matters

    The authors conclude that nutrient supply appears to drive biomass expansion more than MC biosynthesis rates. They also suggest that artificial harvesting of periphyton mats, rather than sediment dredging, may be a more viable and cost-effective way to help mitigate harmful algal blooms in eutrophic reservoirs.

    What the researchers tested

    The researchers examined growth dynamics and MC production in Microcystis strains NIER10004 and CBE51 under autochthonous and allochthonous nutrient sources, including cyanobacterial scum, floating periphyton mats, sediment, and agricultural soil. They also chemically analyzed these materials and tracked phosphorus uptake in laboratory cultures over time.

    What worked and what didn't

    Cyanobacterial scum was identified as a major nitrogen reservoir, and periphyton mats were described as significant phosphorus buffers through luxury uptake. In culture, sediment extracts gave the highest growth rates and the greatest biomass-to-total phosphorus ratios, while phosphorus uptake showed a biphasic pattern: rapid orthophosphate depletion in the first 10 days, then use of organic phosphorus, likely linked to alkaline phosphatase activity.

    What to keep in mind

    The abstract does not describe detailed study limitations beyond the laboratory-based scope of the experiments. The management suggestion about periphyton harvesting is presented as a proposal in the abstract, not as a tested field intervention.

    • Sediment extracts produced the highest growth rates in both Microcystis strains tested.
    • Cyanobacterial scum contained high nitrogen, while periphyton mats buffered phosphorus through luxury uptake.
    • Microcystin concentrations peaked at the onset of the stationary phase.
    • Total microcystin content was only weakly related to the nutrient source.
    • Phosphorus uptake shifted from orthophosphate use to organic phosphorus use after about 10 days.
  • Sex differences shape stress-induced alcohol-seeking

    What the study found

    The study found sex differences in how depression and anxiety symptoms relate to stress-induced alcohol-seeking. Generalized anxiety symptoms were associated with greater stress-induced alcohol-seeking in women but not in men, and depression showed a similar pattern without reaching statistical significance.

    Why the authors say this matters

    The authors conclude that identifying mechanisms behind sex-specific relationships with stress-induced alcohol-seeking can inform tailored intervention approaches. They suggest this may ultimately enhance treatment efficacy for both men and women.

    What the researchers tested

    This was a secondary analysis of a previously published trial of 84 adults aged 21 to 55 who reported moderate-to-heavy alcohol use. Participants completed two counterbalanced intravenous alcohol administration sessions, and 54 also completed optional neuroimaging; the analysis examined subjective alcohol responses and resting-state functional connectivity of the amygdala and hippocampus, brain regions involved in anxiety and depression.

    What worked and what didn't

    Across men and women, blunted state stimulation in response to alcohol, but not state anxiety, was associated with greater stress-induced alcohol-seeking. In men, anxiety symptoms were linked with heightened state stimulation effects, which appeared to buffer against stress-induced alcohol-seeking. Subjective alcohol responses did not mediate the relationship between depression symptoms and stress-induced alcohol-seeking, and resting-state network connectivity findings identified several potential sex-dependent neural mechanisms that warrant further investigation.

    What to keep in mind

    The study was a secondary analysis and was not originally designed as a direct test of competing theoretical models. Only 54 participants completed the optional neuroimaging component, and the abstract does not provide further limitations beyond noting that some findings warrant additional investigation.

    • Generalized anxiety symptoms were associated with greater stress-induced alcohol-seeking in women, but not in men.
    • Depression symptoms showed a similar pattern, but the results did not reach statistical significance.
    • Blunted state stimulation in response to alcohol was associated with greater stress-induced alcohol-seeking across men and women.
    • In men, anxiety symptoms were linked with heightened state stimulation effects that appeared to buffer against stress-induced alcohol-seeking.
    • Subjective alcohol responses did not mediate the depression–stress-induced alcohol-seeking relationship.
    • Resting-state connectivity of the amygdala and hippocampus suggested possible sex-dependent neural mechanisms.
  • Infinite-mean durations found in five cryptocurrency ETFs

    What the study found

    The study found evidence of infinite-mean durations, meaning the average time between trades may not be finite, in all five cryptocurrency exchange traded funds (ETFs) they examined. The authors also report rejecting the integrated autoregressive conditional duration (ACD) hypothesis for four of the five ETFs in favor of heavier-tailed alternatives.

    Why the authors say this matters

    The authors say their results address whether durations between trades have a finite or infinite expectation, which they describe as a key empirical question in duration models. They also note that a finite expectation is often assumed implicitly in the point process literature.

    What the researchers tested

    The paper develops a unified asymptotic theory for the quasi-maximum likelihood estimator in integrated ACD models, which are models for time between events. The authors then use the new theory to build hypothesis tests for whether durations have finite or infinite expectation, and apply the framework to high-frequency cryptocurrency ETF trading data.

    What worked and what didn't

    The new theoretical results support inference in integrated ACD models despite the complication that the number of durations in a fixed observation period is random. In the empirical application, the findings indicate infinite-mean durations for all five cryptocurrency ETFs, and the integrated ACD hypothesis is rejected for four of them in favor of heavier-tailed alternatives.

    What to keep in mind

    The abstract does not describe detailed limitations beyond the theoretical challenges the authors address. The empirical results are specific to the five cryptocurrency ETFs studied, so the abstract does not claim they apply more broadly.

    • The paper provides asymptotic theory for integrated ACD models.
    • It introduces tests for whether durations have finite or infinite expectation.
    • All five cryptocurrency ETFs studied showed evidence of infinite-mean durations.
    • The integrated ACD hypothesis was rejected for four of the five ETFs.
    • The authors report heavier-tailed alternatives fit better for four ETFs.
  • Seasonal and gendered patterns shaped marine subsistence in Mfumbwi

    What the study found

    The study found that marine subsistence in Mfumbwi was shaped by both seasonality and gendered patterns of behavior. Seasonal changes linked to Zanzibar’s wet-dry monsoonal climate affected men and women differently, and the species harvested also differed by gender.

    Why the authors say this matters

    The authors conclude that these patterns matter for current conservation and cultural heritage management efforts. The study also suggests the findings are relevant for archaeological interpretation of maritime subsistence on the Swahili coast and in other parts of the Indian Ocean World.

    What the researchers tested

    The researchers examined how seasonality and gender influenced the marine subsistence record of Mfumbwi, a village in Jambiani, Zanzibar Island. They used an ethnographic maritime subsistence dataset called MS-1819, collected between June 2018 and June 2019.

    What worked and what didn't

    The study reports that seasonality intersected with local gender ideologies in ways that affected men and women differently. It also reports that the roster of marine species harvested varied between men and women, likely reflecting different ecozones frequented by each gender. The authors add that the seasonal availability or accessibility of some taxa may also have been influenced by the behavior of individual species, and that biological and cultural variables may have skewed the data as it was collected.

    What to keep in mind

    The abstract notes that several biological and cultural variables may have affected the dataset. It also says the study is based on one community and one year of ethnographic data, so its scope is limited to that context.

    • Seasonal monsoonal change affected marine subsistence patterns in Mfumbwi.
    • Men and women harvested different marine species, likely because they frequented different ecozones.
    • The availability or accessibility of some taxa may also have depended on species behavior.
    • The study is based on an ethnographic dataset collected from June 2018 to June 2019.
    • The authors link the findings to archaeology, conservation, and cultural heritage management.
  • Conflict-Square Algorithm proposes a four-node psychotherapy framework

    What the study found

    The study presents the Conflict-Square Algorithm (CSA), a four-node framework for psychotherapy and functional diagnosis that uses observable signals to guide intervention intensity. The authors describe it as a teachable, testable decision framework rather than a validated diagnostic instrument.

    Why the authors say this matters

    The authors say clinical services need more than categorical labels to guide safe dosing, maintain alliance, and plan functional recovery. They suggest CSA offers a compact bedside grammar for moment-to-moment decisions during psychotherapy.

    What the researchers tested

    The paper describes CSA as tracking four observable signals: defense, anxiety or affect tolerance, progression, and superego or shame. It also includes three safety thresholds, an episode-line format, operational threshold definitions, a short scope and contraindication checklist, worked micro-episodes, a machine-readable schema, and a threshold-gating state diagram. As a proof-of-concept feasibility demonstration, the authors report aggregate coding statistics from three published psychotherapy training videos from the ISTDP Institute, transcribed with written permission, using three therapist intervention labels aligned with CSA nodes.

    What worked and what didn't

    The abstract reports that the framework includes observable markers, common misclassification errors, and examples showing node shifts, threshold transitions, and dose modulation over time. It also reports aggregate coding statistics from the video material, but it does not provide validation results showing clinical effectiveness or diagnostic accuracy. CSA is presented as feasible and testable, not as a proven instrument.

    What to keep in mind

    The authors explicitly say CSA is not yet a validated diagnostic instrument. The abstract outlines a pragmatic validation program, including rater agreement, safety-rule adherence, usability, and functional outcomes, and notes possible future multimodal extensions such as optional physiological monitoring, but these are not reported as completed findings.

    • CSA is described as a four-node framework for psychotherapy and functional diagnosis.
    • The four tracked signals are defense, anxiety or affect tolerance, progression, and superego or shame.
    • The framework uses three safety thresholds to gate intervention intensity.
    • A proof-of-concept analysis used three published psychotherapy training videos and 2,809 speaker turns.
    • The authors present CSA as teachable and testable, not as a validated diagnostic instrument.
  • Adenophora triphylla contains over 130 identified compounds

    What the study found

    The review found that Adenophora triphylla, a medicinal plant in the Campanulaceae family, has more than 130 identified phytoconstituents, including triterpenoids, polyphenols, flavonoids, and phenylpropanoids. The authors also report that extracts and isolated compounds from the plant have shown a range of pharmacological activities in cell-based and animal-based models.

    Why the authors say this matters

    The authors conclude that the plant may have therapeutic potential and that the available evidence points to the need for further research and development. They also state that clinical studies are needed to validate its therapeutic potential.

    What the researchers tested

    This was a review article, not a new experimental study. The authors summarized the plant's botany, traditional use, phytoconstituents, and pharmacological properties from the available literature.

    What worked and what didn't

    The review reports antioxidant, anti-obesity, anti-cancer, anti-diabetic, anti-inflammatory, lung-protective, hepatoprotective, osteogenesis-promoting, anti-angiogenic, anti-fungal, and anti-melanogenic activities for extracts and isolated compounds. It also notes that root extracts account for most of the reported pharmacological properties.

    What to keep in mind

    The abstract says that clinical studies, safety data, and pharmacokinetic data are scarce. It also states that the reported evidence comes mainly from cell-based and animal studies, so the available summary does not describe human confirmation of these findings.

    • Adenophora triphylla is described as a traditional medicinal plant used as both medicine and food.
    • More than 130 phytoconstituents have been identified from its aerial parts and roots.
    • Reported activities include antioxidant, anti-obesity, anti-cancer, anti-diabetic, and anti-inflammatory effects.
    • Most of the reported pharmacological properties come from root extracts.
    • Clinical studies, safety data, and pharmacokinetic data are described as scarce.