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BACKGROUND: Self-guided web-based interventions have the potential of addressing help-seeking barriers and symptoms common among university students, such as depression and anxiety. Unfortunately, self-guided interventions are also associated with less adherence, implicating motivation as a potential moderator for adherence and improvement for such interventions. Previous studies examining motivation as a moderator or predictor of improvement on web-based interventions have defined and measured motivation variably, producing conflicting results. OBJECTIVE: This secondary analysis of data from a randomized controlled trial aimed to examine constructs of motivation as moderators of improvement for a self-guided 8-week web-based intervention in university students (N=1607). METHODS: Tested moderators included internal motivation, external motivation, and confidence in treatment derived from the Treatment Motivation Questionnaire. The primary outcome was an improvement in depression and anxiety measured by the Depression Anxiety Stress Scale-21. RESULTS: Piecewise linear mixed effects models showed that internal motivation significantly moderated symptom change for the intervention group (t1504=-2.94; P=.003) at average and high (+1 SD) motivation levels (t1507=-2.28; P=.02 and t1507=-4.05; P

TABLE DES MATIERES I. Introduction II. Contexte et besoin d'accompagnement lors de l'entrevue sur les faits III. Les accompagnateurs et accompagnatrices, des temoins contraignables? A. Les declarations anterieures incompatibles: une [...], CET ARTICLE SE penche sur la question de l'accompagnement des personnes victimes lorsqu'elles sont appelees a participer a une entrevue portant sur les faits relies a leurs plaintes avec des membres de la police. L'article critique le recours a l'entretien sur les faits sans option d'accompagnement de la personne victime. Pour ce faire, il commence par etablir la necessite de l'accompagnement en offrant une mise en contexte portant principalement sur l'accompagnement des personnes victimes d'agressions sexuelles et de crimes policiers. Ensuite, la recherche aborde divers enjeux invoques a l'encontre de l'accompagnement, incluant les regles de preuve quant aux declarations anterieures incompatibles, le droit a une defense pleine et entiere et l'impact de l'enregistrement video sur la personne victime. A cette occasion, l'article offre diverses solutions pour reconcilier l'accompagnement des personnes victimes et les droits de la personne accusee dans le contexte d'agressions sexuelles. Pour se faire, l'auteure s'appuie principalement sur la jurisprudence de la Cour supreme du Canada, les articles 276 et 278.92 du Code criminel et l'etat des connaissances scientifiques portant sur les declarations incompatibles, le contact entre la police et les personnes victimes d'agressions sexuelles ainsi que sur les effets d'un traumatisme sur la memoire. Enfin, l'article se termine par une discussion faisant etat de certains autres obstacles tels que les modalites d'accompagnement et l'influence d'une tierce partie sur la personne victime. Cette discussion, ainsi que l'ensemble de l'article, rappellent l'importance de favoriser l'autonomie et la dignite des personnes victimes dans toutes decisions concernant leur participation au processus de judiciarisation des plaintes. THIS ARTICLE EXPLORES the issue of providing support for victims when they are called upon to be interviewed by members of the police force on matters relating to their allegations. The article criticizes the use of fact-finding interviews without providing the option of support to the victim. It begins by establishing the need for support by presenting it mainly within the context of support for victims of sexual assault and police crimes. The research then addresses various issues raised against providing support, including the rules of evidence regarding prior inconsistent statements, the right to full answer and defence, and the impact of video recording on the victim. In that vein, the article offers various solutions reconciling the support of victims and the rights of the accused in the context of sexual assault. To do so, the author draws mainly on Supreme Court of Canada case law, sections 276 and 278.92 of the Criminal Code, and the state of scientific knowledge regarding inconsistent statements, contact between police and people who were victims of sexual assault, and the effects of trauma on memory. Finally, the article concludes with a discussion on other obstacles, such as the rules of support and the influence of a third party on the victim. This discussion, along with this whole article, serves as a reminder of the importance of fostering the autonomy and dignity of victims in all decisions concerning their participation in the judicial complaints process.

BACKGROUND: Evidence suggested that abiotic airborne exposures may be associated with changes in body composition. However, more evidence is needed to identify key pollutants linked to adverse health effects and their underlying biomolecular mechanisms, particularly in sensitive older adults. OBJECTIVES: Our research aimed to systematically assess the relationship between abiotic airborne exposures and changes in body composition among healthy older adults, as well as the potential mediating mechanisms through the serum lipidome. METHODS: From September 2018 to January 2019, we conducted a monthly survey among 76 healthy adults (60-69 years old) in the China Biomarkers of Air Pollutant Exposure (BAPE) study, measuring their personal exposures to 632 abiotic airborne pollutions using MicroPEM and the Fresh Air wristband, 18 body composition indicators from the InBody 770 device, and lipidomics from venous blood samples. We used an exposome-wide association study (ExWAS) and deletion/substitution/addition (DSA) model to unravel complex associations between exposure to contaminant mixtures and body composition, a Bayesian kernel machine regression (BKMR) model to assess the overall effect of key exposures on body composition, and mediation analysis to identify lipid intermediators. RESULTS: The ExWAS and DSA model identified that 2,4,5-T methyl ester (2,4,5-TME), 9,10-Anthracenedione (ATQ), 4b,8-dimethyl-2-isopropyl-phenanthrene, and 4b,5,6,7,8,8a,9,10-octahydro-(DMIP) were associated with increased body fat mass (BFM), fat mass indicators (FMI), percent body fat (PBF), and visceral fat area (VFA) in healthy older adults [Bonferroni-Hochberg false discovery rate ([FDR.sub.BH]) < 0.05]. The BKMR model demonstrated a positive correlation between contaminants (anthracene, ATQ, copaene, di-epi-a-cedrene, and DMIP) with VFA. Mediation analysis revealed that phosphatidylcholine [PC, PC(16:1e/18:1), PC(16:2e/18:0)] and sphingolipid [SM, SM(d18:2/24.1)] mediated a significant portion, ranging from 12.27% to 26.03% (p-value DISCUSSION: Based on the evidence from multiple model results, ATQ and DMIP were statistically significantly associated with the increased VFA levels of healthy older adults, potentially regulated through lipid intermediators. These findings may have important implications for identifying potentially harmful environmental chemicals and developing targeted strategies for the control and prevention of chronic diseases in the future, particularly as the global population is rapidly aging. https://doi.org/10.1289/EHP13865, Introduction The global population is currently undergoing a notable aging trend, primarily driven by declining fertility rates and increased life expectancy. (1) This demographic shift is evident as the number [...]

BACKGROUND: Per- and polyfluoroalkyl Substances (PFAS) are synthetic chemicals widely detected in humans and the environment. Exposure to perfluorooctanesulfonic acid (PFOS) or perfluorohexanesulfonic acid (PFHxS) was previously shown to cause dark-phase hyperactivity in larval zebrafish. OBJECTIVES: The objective of this study was to elucidate the mechanism by which PFOS or PFHxS exposure caused hyperactivity in larval zebrafish. METHODS: Swimming behavior was assessed in 5-d postfertilization (dpf) larvae following developmental (1-4 dpf) or acute (5 dpf) exposure to 0.43-7.86 [micro]M PFOS, 7.87-120 [micro]M PFHxS, or 0.4% dimethyl sulfoxide (DMSO). After developmental exposure and chemical washout at 4 dpf, behavior was also assessed at 5-8 dpf. RNA sequencing was used to identify differences in global gene expression to perform transcriptomic benchmark concentration--response ([BMC.sub.T]) modeling, and predict upstream regulators in PFOS- or PFHxS-exposed larvae. CRISPR/Cas9-based gene editing was used to knockdown peroxisome proliferator-activated receptors (ppars) pparaa/ab, pparda/db, or pparg at day 0. Knockdown crispants were exposed to 7.86 [micro]M PFOS or 0.4% DMSO from 1-4 dpf and behavior was assessed at 5 dpf. Coexposure with the ppard antagonist GSK3787 and PFOS was also performed. RESULTS: Transient dark-phase hyperactivity occurred following developmental or acute exposure to PFOS or PFHxS, relative to the DMSO control. In contrast, visual startle response (VSR) hyperactivity only occurred following developmental exposure and was irreversible up to 8 dpf. Similar global transcriptomic profiles, [BMC.sub.T] estimates, and enriched functions were observed in PFOS- and PFHxS-exposed larvae, and ppars were identified as putative upstream regulators. Knockdown of pparda/db, but not pparaa/ab or pparg, blunted PFOS-dependent VSR hyperactivity to control levels. This finding was confirmed via antagonism of ppard in PFOS-exposed larvae. DISCUSSION: This work identifies a novel adverse outcome pathway for VSR hyperactivity in larval zebrafish. We demonstrate that developmental, but not acute, exposure to PFOS triggered persistent VSR hyperactivity that required ppard function. https://doi.org/10.1289/EHP13667, Introduction Per- and polyfluoroalkyl substances (PFAS) are a diverse class of synthetic chemicals containing >14,000 unique structures used in industrial manufacturing (US EPA PFASSTRUCTv3, last checked December 2023 (1)). PFAS [...]

INTRODUCTION Sweetened beverages, defined as sodas, energy drinks, fruit punches, sweetened teas, and real fruit juices with added sugar, sugared coffee, and sports drinks are now the largest single source [...], Research documents an increase in the consumption of sweetened beverages within the United States. This trend is important as sweetened beverage consumption is consistently associated with high BMI, weight gain, diabetes, and several related health problems (Harvard University School of Public Health, 2023). While researchers have looked at marketing's role in promoting sweetened beverages, research leading to an understanding of the behavioral antecedents of beverage consumption is scant. Extant literature supports the premise that knowledge of the benefits (dangers) of healthy (unhealthy) activity alone is insufficient to evoke behavioral change. To this end, this paper employs the Theory of Planned Behavior (Ajzen, 1991, 2002, 2006, 2010, 2020; Ajzen & Fishbein, 2000; Ajzen et al., 2011; Barbera & Ajzen, 2022) to investigate the relationship between the antecedents of behavior; (attitudes, subjective norms, and perceived behavioral control), and the consumption of healthy versus sweetened beverages. Results showed that attitudes and perceived behavioral control significantly influenced behavioral intentions, while subjective norms had minimal impact on healthy vs sweetened beverage choices. Overall, all three factors effectively drove behavioral intentions and behaviors. Thus, we argue that marketing (demarketing) campaigns focused on increasing (decreasing) healthy (unhealthy) beverages should be positioned to address these antecedents. Research and managerial implications are explored. Keywords: Theory of Planned Behavior, sweetened beverages, behavior change, dietary change, diabetes

The Hurricane Weather Research and Forecasting Model (HWRF) was the flagship hurricane model at NOAA's National Centers for Environmental Prediction for 16 years and a state-of-the-art tool for tropical cyclone (TC) intensity prediction at the National Weather Service and across the globe. HWRF was a joint development between NOAA research and operations, specifically the Environmental Modeling Center and the Atlantic Oceanographic and Meteorological Laboratory. Significant support also came from the National Hurricane Center, Developmental Testbed Center, University Corporation for Atmospheric Research, universities, cooperative institutes, and the TC community. In the North Atlantic basin, where most improvement efforts focused, HWRF intensity forecast errors decreased by 45%-50% at many lead times between 2007 and 2022. These large improvements resulted from increases in horizontal and vertical resolution, as well as advances in model physics and data assimilation. HWRF intensity forecasts performed particularly well over the Gulf of Mexico in recent years, providing useful guidance for a large number of impactful landfalling hurricanes. Such advances were made possible not only by significant gains in computing but also through substantial investment from the Hurricane Forecast Improvement Program. SIGNIFICANCE STATEMENT: HWRF is considered one of the most important and successful ocean-coupled, regional numerical weather prediction models. This work documents HWRF forecast performance for TCs in the North Atlantic since its operational inception (2007-22). Track, intensity, and storm size (wind radii) forecasts all showed significant error reductions and skill improvements, including 45%-50% lower intensity errors. HWRF intensity forecasts showed marked improvement for rapid intensification events, especially in the Gulf of Mexico, where numerous impactful TCs made landfall throughout HWRF's lifetime. HWRF's impressive performance led to its expanded use as guidance for official TC forecasts and as a research tool across the TC community. These successes paved the way for NOAA's next-generation hurricane model, the Hurricane Analysis and Forecast System. KEYWORDS: Extreme events; Hurricanes/ typhoons; Tropical cyclones; Short-range prediction; Model evaluation/ performance; Numerical weather prediction/ forecasting, 1. Introduction (the rise of dynamical hurricane models at NOAA) Tropical cyclone (TC) forecast errors have markedly decreased over the past two decades, largely due to improved numerical weather prediction [...]

This paper provides an introduction to a new tool that is designed to provide operationally useful vulnerability information to National Weather Service (NWS) Weather Forecasting Offices (WFOs). The Brief Vulnerability Overview Tool (BVOT) is a shapefile containing local known, spatially specific, and weather-hazard-related vulnerabilities in a format that is easily integrated into the existing forecasting, warning, and decision support responsibilities and tasks of NWS WFO meteorologists. The methods for gathering vulnerability data and then building a BVOT for a WFO leverage and strengthen the relationships that NWS WFOs already have with their local emergency managers (EMs) and core partners to work together to identify operationally useful, local vulnerability knowledge. The BVOT is populated with discrete, known vulnerabilities to provide NWS meteorologists spatial situational awareness of those people, places, and things of greatest concern to their core partners. Crucially, the BVOT is a subsample of all potential vulnerabilities; its primary purpose is to make meteorologists aware of those weather-hazard-specific vulnerabilities that, as we posed to them, "keep them awake at night." Here, we describe the development of the BVOT as a social science-informed operational tool; how the BVOT methods have evolved and how it can be integrated into the culture of the NWS as a tool for building and maintaining relationships with partners; and how the BVOT is designed to be used and its impact on operational decision-making as observed in NOAA's Hazardous Weather Testbed. SIGNIFICANCE STATEMENT: Operational meteorologists in the National Weather Service often rely on everyday knowledge of vulnerabilities to shape their messaging to communities threatened by hazardous weather. This study seeks to test methods that will permit meteorologists to work with local communities and emergency managers to collect knowledge about local vulnerabilities so that they can be formally shared and integrated into everyday operations. The results of this research provide an illustrative pathway demonstrating how social science-informed research can be used to improve meteorological operations. Future work should investigate how other findings from social science can be translated into real, operational impacts. KEYWORDS: Social science; Operational forecasting; Communication/ decision-making; Decision support; Vulnerability, 1. BVOT: An inductive approach to actionable vulnerability decision support The mission of the U.S. NWS is to "provide weather, water, and climate data, forecasts, warnings, and impact-based decision support [...]

BACKGROUND: Accumulating evidence suggests that domestic water hardness is linked to health outcomes, but its association to all-cause and cause-specific cancers warrants investigation. OBJECTIVE: The aim of this study was to investigate the association of domestic hard water with all-cause and cause-specific cancers. METHODS: In the prospective cohort study, a total of 447,996 participants from UK Biobank who were free of cancer at baseline were included and followed up for 16 y. All-cause and 22 common cause-specific cancer diagnoses were ascertained using hospital inpatient records and self-reported data until 30 November 2022. Domestic water hardness, measured by CaC[O.sub.3] concentrations, was obtained from the local water supply companies across England, Scotland, and Wales in 2005. Data were analyzed using Cox proportional hazard models, with adjustments for known measured confounders, including demographic, socioeconomic, clinical, biochemical, lifestyle, and environmental factors. RESULTS: Over a median follow-up of 13.6 y (range: 12.7-14.4 y), 58,028 all-cause cancer events were documented. A U-shaped relationship between domestic water hardness and all-cause cancers was observed (p for nonlinearity 60-120 mg/L), 0.88 (95% CI: 0.84, 0.91) for those exposed to hard water (>120-180 mg/L) and 1.06 (95% CI: 1.04, 1.08) for those exposed to very hard water (>180 mg/L). Additionally, domestic water hardness was associated with 11 of 22 cause-specific cancers, including cancers of the esophagus, stomach, colorectal tract, lung, breast, prostate, and bladder, as well as non-Hodgkin lymphoma, multiple myeloma, malignant melanoma, and hematological malignancies. Moreover, we observed a positive linear relationship between water hardness and bladder cancer. DISCUSSION: Our findings suggest that domestic water hardness was associated with all-cause and multiple cause-specific cancers. Findings from the UK Biobank support a potentially beneficial association between hard water and the incidence of all-cause cancer. However, very hard water may increase the risk of all-cause cancer. https://doi.org/10.1289/EHP13606, Introduction Cancer is a leading cause of mortality worldwide in 2020, nearly 10 million deaths were due to cancer, accounting for approximately one-sixth of all deaths. (1-3) It is projected [...]

BACKGROUND: Maternal cigarette smoking during pregnancy (MSDP) is associated with numerous adverse health outcomes in infants and children with potential lifelong consequences. Negative effects of MSDP on placental DNA methylation (DNAm), placental structure, and function are well established. OBJECTIVE: Our aim was to develop biomarkers of MSDP using DNAm measured in placentas (N =96), collected as part of the Vitamin C to Decrease the Effects of Smoking in Pregnancy on Infant Lung Function double-blind, placebo-controlled randomized clinical trial conducted between 2012 and 2016. We also aimed to develop a digital polymerase chain reaction (PCR) assay for the top ranking cytosine--guanine dinucleotide (CpG) so that large numbers of samples can be screened for exposure at low cost. METHODS: We compared the ability of four machine learning methods [logistic least absolute shrinkage and selection operator (LASSO) regression, logistic elastic net regression, random forest, and gradient boosting machine] to classify MSDP based on placental DNAm signatures. We developed separate models using the complete EPIC array dataset and on the subset of probes also found on the 450K array so that models exist for both platforms. For comparison, we developed a model using CpGs previously associated with MSDP in placenta. For each final model, we used model coefficients and normalized beta values to calculate placental smoking index (PSI) scores for each sample. Final models were validated in two external datasets: the Extremely Low Gestational Age Newborn observational study, N = 426; and the Rhode Island Children's Health Study, N = 237. RESULTS: Logistic LASSO regression demonstrated the highest performance in cross-validation testing with the lowest number of input CpGs. Accuracy was greatest in external datasets when using models developed for the same platform. PSI scores in smokers only (n = 72) were moderately correlated with maternal plasma cotinine levels. One CpG (cg27402634), with the largest coefficient in two models, was measured accurately by digital PCR compared with measurement by EPIC array ([R.sup.2] = 0.98). DISCUSSION: To our knowledge, we have developed the first placental DNAm-based biomarkers of MSDP with broad utility to studies of prenatal disease origins. https://doi.org/10.1289/EHP13838, Introduction Maternal cigarette smoking during pregnancy (MSDP) is associated with increased risk of low birth weight, prematurity, and perinatal mortality. (1-4) MSDP is also associated with greater risk of cardiovascular, [...]

BACKGROUND: Evidence linking gaseous air pollution to late-life brain health is mixed. OBJECTIVE: We explored associations between exposure to gaseous pollutants and brain magnetic resonance imaging (MRI) markers among Atherosclerosis Risk in Communities (ARIC) Study participants, with attention to the influence of exposure estimation method and confounding by site. METHODS: We considered data from 1,665 eligible ARIC participants recruited from four US sites in the period 1987-1989 with valid brain MRI data from Visit 5 (2011-2013). We estimated 10-y (2001-2010) mean carbon monoxide (CO), nitrogen dioxide (N[O.sub.2]), nitrogen oxides (N[O.sub.x]), and 8-and 24-h ozone ([O.sub.3]) concentrations at participant addresses, using multiple exposure estimation methods. We estimated site-specific associations between pollutant exposures and brain MRI outcomes (total and regional volumes; presence of microhemorrhages, infarcts, lacunes, and severe white matter hyperintensities), using adjusted linear and logistic regression models. We compared meta-analytically combined site-specific associations to analyses that did not account for site. RESULTS: Within-site exposure distributions varied across exposure estimation methods. Meta-analytic associations were generally not statistically significant regardless of exposure, outcome, or exposure estimation method; point estimates often suggested associations between higher N[O.sub.2] and N[O.sub.x] and smaller temporal lobe, deep gray, hippocampal, frontal lobe, and Alzheimer disease signature region of interest volumes and between higher CO and smaller temporal and frontal lobe volumes. Analyses that did not account for study site more often yielded significant associations and sometimes different direction of associations. DISCUSSION: Patterns of local variation in estimated air pollution concentrations differ by estimation method. Although we did not find strong evidence supporting impact of gaseous pollutants on brain changes detectable by MRI, point estimates suggested associations between higher exposure to CO, N[O.sub.x], and N[O.sub.2] and smaller regional brain volumes. Analyses of air pollution and dementia-related outcomes that do not adjust for location likely underestimate uncertainty and may be susceptible to confounding bias. https://doi.org/10.1289/EHP13906, Introduction Growing evidence links air pollution to late-life cognitive health. Currently, the strongest evidence supports an effect of particulate matter (PM) air pollution. (1) In comparison with PM, fewer studies [...]

BACKGROUND: Cadmium (Cd) is a highly toxic and widespread environmental oxidative stressor that causes a myriad of health problems, including osteoporosis and bone damage. Although nuclear factor erythroid 2-related factor 2 (NRF2) and its Cap 'n' Collar and basic region Leucine Zipper (CNC-bZIP) family member nuclear factor erythroid 2-related factor 1 (NRF1) coordinate various stress responses by regulating the transcription of a variety of antioxidant and cytoprotective genes, they play distinct roles in bone metabolism and remodeling. However, the precise roles of both transcription factors in bone loss induced by prolonged Cd exposure remain unclear. OBJECTIVES: We aimed to understand the molecular mechanisms underlying Cd-induced bone loss, focusing mainly on the roles of NRF2 and NRF1 in osteoclastogenesis provoked by Cd. METHODS: Male wild-type (WT), global Nrf2-knockout (Nrf[2.sup.-/-]) and myeloid-specific Nrf2 knockout [Nrf2(M)-KO] mice were administered Cd (50 or 100 ppm) via drinking water for 8 or 16 wk, followed by micro-computed tomography, histological analyses, and plasma biochemical testing. Osteoclastogenesis was evaluated using bone marrow-derived osteoclast progenitor cells (BM-OPCs) and RAW 264.7 cells in the presence of Cd (10 or 20 nM) with a combination of genetic and chemical modulations targeting NRF2 and NRF1. RESULTS: Compared with relevant control mice, global Nrf[2.sup.-/-] or Nrf2(M)-KO mice showed exacerbated bone loss and augmented osteoclast activity following exposure to 100ppm Cd in drinking water for up to 16 wk. In vitro osteoclastogenic analyses suggested that Nrf2-deficient BM-OPCs and RAW 264.7 cells responded more robustly to low levels of Cd (up to 20 nM) with regard to osteoclast differentiation compared with WT cells. Further mechanistic studies supported a compensatory up-regulation of long isoform of NRF1 (L-NRF1) and subsequent induction of nuclear factor of activated T cells, cytoplasmic, calcineurin dependent 1 (NFATc1) as the key molecular events in the Nrf2 deficiency-worsened and Cd-provoked osteoclastogenesis. L-Nrf1 silenced (via lentiviral means) Nrf2-knockdown (KD) RAW cells exposed to Cd showed dramatically different NFATc1 and subsequent osteoclastogenesis outcomes compared with the cells of Nrf2-KD alone exposed to Cd, suggesting a mitigating effect of the Nrf1 silencing. In addition, suppression of reactive oxygen species by exogenous antioxidants N-acetyl-L-cysteine (2mM) and mitoquinone mesylate (MitoQ; 0.2 [micro]M) mitigated the L-NRF1-associated effects on NFATc1-driven osteoclastogenesis outcomes in Cd-exposed Nrf2-KD cells. CONCLUSIONS: This in vivo and in vitro study supported the authors' hypothesis that Cd exposure caused bone loss, in which NRF2 and L-NRF1 responded to Cd and osteoclastogenic stimuli in a cooperative, but contradictive, manner to coordinate Nfatc1 expression, osteoclastogenesis and thus bone homeostasis. Our study suggests a novel strategy targeting NRF2 and L-NRF1 to prevent and treat the bone toxicity of Cd. https://doi.org/10.1289/EHP13849, Introduction Cadmium (Cd), a nonessential heavy metal, is considered as one of the most toxic environmental and occupational hazards. (1) Human long-term exposure to Cd, which occurs mainly from consumption [...]

BACKGROUND: The potential health benefits of exposure to vegetation, or greenness, are well documented, but there are few nationwide studies in Brazil, a country facing challenges related to land-use planning, deforestation, and environmental health risks. OBJECTIVES: In this study, we investigated the association between greenness and hospitalizations for cardiorespiratory diseases in Brazil. METHODS: We accessed hospital admissions data from 967,771 postal codes (a total of 26,724,624 admissions) covering Brazil for the period between 2008 and 2018. We used Normalized Difference Vegetation Index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to measure greenness at the postal-code level. First, we applied a quasi-Poisson regression model to estimate the association between greenness and hospitalizations for circulatory and respiratory diseases, adjusted for air pollution, weather variables, and area-level socioeconomic status. We stratified the analyzes by sex, age group, health outcome, and Brazilian regions. In the second stage, we performed a meta-analysis to estimate pooled effects across the Brazilian regions. RESULTS: The national meta-analysis for the whole population, incorporating both urban and nonurban areas, showed that higher levels of greenness were associated with a lower risk of hospitalizations for circulatory diseases. An interquartile range (IQR = 0:18) increase in average NDVI was associated with a 17% (95% confidence interval: 8%, 27%) lower risk of cardiovascular admissions. In contrast, there was no association found between greenness and respiratory admissions. When specifically examining urban areas, the results remained consistent with the overall findings. However, the analyses of nonurban areas revealed divergent results, suggesting that higher levels of greenness in rural regions are associated with a lower risk of hospital admissions for both circulatory and respiratory diseases. DISCUSSION: The findings emphasize the importance of prioritizing the preservation and creation of green spaces in urban areas as a means of promoting cardiovascular health in Brazil. https://doi.org/10.1289/EHP13442, Introduction Cardiovascular and respiratory diseases are the leading causes of morbidity and mortality worldwide. (1) In Brazil, these diseases are responsible for a significant number of hospital admissions and deaths. [...]

AbstractGovernment, organizational, and professional society policies are part of the complex system that underpins and influences the education of health professionals. Despite their significant influence, these policies rarely receive attention in scholarship examining the processes and outcomes of current health profession education systems. Policy analysis is a field of research that examines how and why policies are developed, the assumptions underpinning policies, and policies’ effects. Given the potential value policy analysis can offer health professions education research, our manuscript aims to 1) describe policy analysis as a field of research that draws on multiple disciplines and methodologies, and 2) demonstrate and discuss what policy analysis research can contribute to health professions education by sharing examples of two studies and discussing their value. To explain how policy analysis can be applied in health professions education research, we describe four key steps and considerations for using policy analysis– (i) assemble your research team; (ii) develop the research questions; (iii) select the methodology for the policy analysis; and (iv) select methods for data collection and analysis. [ABSTRACT FROM AUTHOR]

How often do we reflect on the potential moral or value implications – what is right, wrong, has value and is (in)appropriate – of seemingly trivial analytical decisions, such as how to dichotomise a variable? I argue that analytical choices relate to multifaceted and oftentimes challenging moral issues that scientists should take into deeper consideration. Here, I illustrate a variety of potential considerations about moral values, including issues like exclusion, marginalisation, autonomy, responsibility, non-maleficence in relation to various common analytical choices and practices, such as the use of thresholds for disease diagnosis or population definition, the use of composite measures in the context of clarifying effects, classification practices, decisions on variable selection, as well as decisions relating to (dis)aggregation of data. I discuss these examples in the context of reasonable theoretical or statistical reservations. I advocate for deeper engagement with the difficult moral implications of analytical decisions, and for a principled and pluralistic science, that is also a more robust science. Such a science can include diverse moral views through a coupled ethical-epistemic approach, sensitivity tests, multiverse analysis, as well as stronger commitments to participatory and mutual learning practices. [ABSTRACT FROM AUTHOR]

AbstractThe physiological and officinal functions of phytosterols are of great significance, and recent dietary guidelines have underscored the significance of incorporating them into a balanced diet. Furthermore, it exhibits inhibitory effects on tumor growth, stimulates cellular immunity, possesses anti-inflammatory, antioxidant, and antidiabetic properties. To gain a more comprehensive understanding of the role of phytosterols in public health, it is crucial to establish simple, rapid, eco-conscious, efficient, and highly sensitive techniques for their extraction and determination across various matrices. This review presents a thorough overview of various techniques used for extracting and analyzing phytosterols in diverse plant-derived foods, encompassing a range of advanced technologies like solid-phase extraction, microextraction, supercritical fluid extraction, QuEChERS, alongside traditional approaches. The detection techniques include liquid chromatography-based methods, gas chromatography-based methods, supercritical fluid chromatography, and other methodologies. Additionally, we conduct a thorough examination and comparison of various techniques while proposing future prospects. [ABSTRACT FROM AUTHOR]

Healthcare workers are subjected to numerous work-related stress factors, which have negative consequences on their physical and mental health, making them a vulnerable group. The recent pandemic caused by the new coronavirus created a high demand for attention from healthcare workers, which put their mental health at risk. This study aimed to test a mediation model in which resilience and the satisfaction of psychological needs play a mediating role in risk perception, the attitude toward the management carried out by the administration, emotional intelligence on psychological wellbeing, and depressive symptoms of frontline professionals. The sample consisted of 405 healthcare professionals aged between 22 and 65 years, belonging to critical care units in southern Spain. Linear correlation and mediation analyses were performed. The results showed that psychological wellbeing had positive correlations with resilience and negative correlations with the discrepancy in the satisfaction of psychological needs. Depressive symptoms had negative correlations with resilience and positive correlations with the satisfaction of psychological needs. To explore these results further, a mediation analysis was conducted, and a large set of significant indirect effects was found. [ABSTRACT FROM AUTHOR]

After the full-scale military invasion of the occupying country, the national security of Ukraine required drastic and urgent actions both on the battlefield and to ensure security within the state. The search for alternative and more effective ways of obtaining and transmitting information in the defense and security sector is an important issue for achieving peace in our country. The current state of repelling military aggression prompts Ukrainian society to format information and analytical support on new tracks and rapid training of personnel. The discovery of collaborators and aids of the aggressor country in the temporarily occupied territories among modern Ukrainians became a new resistance in the modern war. This phenomenon does not create a positive dynamic in expelling the occupier from Ukrainian land, which is due to betrayal, assistance and the need to fight against such elements. Modern war emphasizes the need to neutralize the enemy not only on the battlefield, but also in the middle of our country. In this aspect, receiving and transmitting information in the defense and security sector will make a significant contribution to achieving a positive result. The development of events without the appropriate armament conditions decision-making and their implementation in a way that does not correspond to traditional military tactics. Skillful processing of the received information can lead to a change in the situation on the battlefield in the shortest possible time. The use of traditional guerrilla warfare in modern conditions must be adapted to military practices and the latest technologies. However, this aspect is due to the lack of opportunities and the necessary support for the implementation of the assigned operational and service-combat tasks. In such conditions, the acquisition of skills in relevant fields before the onset of critical and/ or emergency situations becomes an important issue. After all, professional orientation involves understanding and internal perception of the goals and tasks of professional activity. The changes taking place in the content of professional orientation are reflected in the fact that they strengthen the motives related to professional activity, call for a desire to conscientiously perform one’s official duties, the desire to show oneself as a qualified specialist and achieve success not only at work, but also on the battlefield with the enemy. [ABSTRACT FROM AUTHOR]

This study developed an electrochemical method for the selective and sensitive detection of Tinidazole (TZ) by modifying a bare carbon nanotube paste electrode (BCNTPE) with electrochemically polymerized l‐Glutamic acid (P(L‐GA)/MCNTPE). The modified carbon nanotube paste electrode (MCNTPE) achieved optimal detection with an irreversible peak in a 0.2 M phosphate buffer solution (PBS) at pH 3.5. Characterization of both the P(L‐GA)/MCNTPE and BCNTPE was carried out using techniques such as scanning electron microscopy (SEM), electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and linear sweep voltammetry (LSV). The sensor effectively identified possible interferences from different metals and organic compounds, with scan rate studies indicating that the reaction was controlled by diffusion. The effects of pH and concentration variations were also thoroughly investigated. The active surface area of the P(l‐GA)/MCNTPE and BCNTPE were found to be 0.471 cm2 and 0.217 cm2 respectively. The P(l‐GA)/MCNTPE displayed excellent electrochemical properties, with a limit of detection (LOD) of 0.06 µM and a limit of quantification (LOQ) of 0.2 µM, along with good reproducibility, repeatability, and stability. This study presents a P(l‐GA) MCNTPE that significantly enhances the sensitivity and selectivity for simultaneous detection of TZ and bare carbon nanotube (BCN). The improved electroactive surface area and electron transfer dynamics demonstrate its potential for practical applications in pharmaceutical analysis. [ABSTRACT FROM AUTHOR]

Background: The dialect spoken by children influences diagnostic decision‐making regarding the identification and severity of speech sound disorder (SSD). Aims: The primary objective was to review papers that examined the influence of dialect on the identification of SSD in Vietnamese‐speaking children. Methods & Procedures: Five studies of mono‐ and multilingual Vietnamese‐speaking children living in Vietnam and Australia were reviewed to examine the influence of dialect on the assessment and analysis children's speech. The main Vietnamese dialects (Standard, Northern, Central, Southern) differ in the production of consonants, vowels and tones. Main contribution: Most speech assessments define correct production using the standard dialect of a language. Insights from recent studies of Vietnamese provide recommendations for also considering dialect in diagnostic decision‐making. First, we recommend adding column(s) to the assessment score sheet that includes the dialectal variants spoken by adults in the child's family or community. Second, we calculate the accuracy of production twice, based on the standard form and dialectal form. Third, we report the percentage of consonants correct—standard (PCC‐S) and percentage of consonants correct—dialect (PCC‐D). Conclusions & Implications: Diagnostic decision‐making is influenced by dialectal variation in children's speech, so speech and language therapists need to compare standard and dialectal productions when undertaking assessments, analysis and diagnostic decision‐making. WHAT THIS PAPER ADDS: What is already known on the subject: Most speech assessments use the standard form of a dialect as the correct production. The standard dialect is used for diagnosis of SSD and identification of intervention targets. What this paper adds to the existing knowledge: This paper examines five research studies of Vietnamese to identify ways to consider dialect in speech and language therapy assessment and analysis. Vietnamese provides a complex environment for this examination since there are numerous Vietnamese dialects and they differ according to consonants, vowels and tones. What are the potential or actual clinical implications of this work?: Speech and language therapists are encouraged to add column(s) to their assessment score sheet that includes the dialectal variants spoken by adults and to report the PCC‐S and PCC‐D. [ABSTRACT FROM AUTHOR]

The study demonstrates the potential for monitoring the dynamics of chocolate glaze aroma formation during conching using an artificial olfactory system based on an "electronic nose" with polymer- modified piezoelectric gas sensors. The samples were collected from an actual production environment, and mandatory quality control of their standard properties was conducted throughout the chocolate glaze conching process. The digitization and objective monitoring of the aroma development and maturation process were performed using a data matrix (recorded and calculated signals) from a piezoelectric sensor array. The sensor array, the responses of which correlate with specific physicochemical quality indicators of both semifinished products and final goods, was optimized beforehand. Correlations between the results of sensorometric analysis and the physicochemical quality indicators of confectionery glaze were revealed. Informative sensors were selected, with responses enabling the rapid assessment of standard characteristics, such as moisture content (based on the crown ether sensor with a Pearson correlation coefficient of R = 0.91) and acidity (based on the Tween-40 sensor with a Pearson correlation coefficient of R = 0.90–0.91). The most valuable information comes from monitoring the decrease in the amount of nonvolatile compounds, particularly in the total sugar content during conching, using signals from the Triton X-100 sensor (with a Pearson correlation coefficient of R = 0.89). As a criterion for the reproducibility of the qualitative and quantitative composition, we proposed a new digital characteristic of aroma—a set of binary sensitivity parameters from the "electronic nose" sensors—and developed a novel chemometric method for processing data sets for the test samples. The study demonstrates a potential for integrating an "electronic nose" into production for technological control, ensuring compliance with and optimization of recipes, and monitoring the conching process of chocolate glaze based on physicochemical indicators and digital characterization of the most unstable property—aroma. This approach allows for objective and reproducible quality assessment of confectionery products. [ABSTRACT FROM AUTHOR]

AbstractIntroductionMethodsResultsDiscussionConclusionsClinicians managing patients with acute recreational drug or new psychoactive substance toxicity typically depend on self-reported drug(s) used. This study compares patient self-report (and/or from other sources) to the substance(s) that were subsequently identified in serum.A prospective sample of 1,000 adults presenting to a tertiary care, urban emergency department in London, United Kingdom, with acute recreational drug/new psychoactive substance toxicity was collected from 1 February 2019 to 2 February 2020. A total of 939 appropriate samples underwent qualitative analysis by high-resolution mass spectrometry with comparison to a database of drugs/metabolites. Data on the stated drug(s) used were extracted from the routine medical chart/records; results were batched by drug class, when appropriate, and analysis was performed using R software.Seven hundred and ninety-nine (85.1%) patients were male with a median (IQR) age of 34 years (27 to 42 years). Six hundred and thirty-five (67.6%) patients reported using two or more drugs. The median (IQR) positive predictive value of a self-report substance having been taken was 0.68 (IQR: 0.44–0.86); conversely, the median negative predictive value of a substance having not been taken was 0.90 (IQR: 0.53–0.95). There was variability in the accuracy of reporting. For example, self-reported opioid use had a 90.5% likelihood that opioids were detected on analysis, whereas hallucinogens were only detected in 18.8% of samples when use was reported. Individuals were also mostly accurate in not underreporting substances. For example, those not explicitly reporting gamma-hydroxybutyrate use were 97.5% truly negative.Overall, most users were relatively accurate in their self-report of what class of drugs they had used, although there was variability in this accuracy. However, other drugs were present even when not reported, for example, opioids with disproportionate detection of prescription and over-the-counter (non-prescription) opioids that were unreported.Self-report (and/or collateral reports) had overall relatively high concordance with the likelihood that a substance was, or was not, recently used. Therefore, clinicians can make initial treatment decisions based on the self-reported drug(s) used in most cases. [ABSTRACT FROM AUTHOR]

Background: Delirium leads to prolongation in intensive care unit (ICU) and hospital length of stay and an increase in ICU costs andmortality. As a result of this, the number of studies on deliriumin ICUs has recently increased significantly, and many articles have been published. Objectives: The aim of this study was to evaluate the articles related to "delirium" in "critical care" field in the Web of Science database and the first hundred most cited articles on this subject. Methods: TheWeb of Science database was searched for articles relevant to "delirium" in the critical caremedicine field published between 1980 and 2024. Text analytics and network models used in bibliometric mapping were used for prolific authors, annual trend, citation, and countries. Results: In our study, it was determined that a total of 1834 articles in the field of delirium in critical care medicine were included. It was determined that the annual citation average was 42.79 and the H-index value was 134. There is a general upward trend over the years, and it was observed that it has intensified in the last 5 to 6years. With the Reference Spectroscopy analysis, it was determined that the most intensively cited studies on delirium were the studies of 2013 and 2010. The distribution of keywords in recent years has focused on analgosedation, acute brain injury, older patient, COVID-19, and fragility. When examined for the top 100 cited articles, it was seen that mobilization, guidelines, pain, activities of daily living, anesthesia, sedation, and haloperidol have become prominent in recent years. Conclusion: In recent years, there has been a noticeable increase in the volume of research focusing on delirium studies within the field of critical care medicine. Staying current with trends, incorporating findings from frequently cited studies, and customizing interventions to suit modern difficulties can all improve the quality of care offered to critically ill patients and lead to better outcomes. [ABSTRACT FROM AUTHOR]

Copyright of Arab Journal for Scientific Publishing is the property of Research & Development of Human Recourses Center (REMAH) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

(1) Background: This case study analyzed the successful performances of female gymnasts in the finals of the 39th and 40th World Cup in Maribor (SLO). The aim was to identify variations in their execution of the Clear Hip Circle to Handstand (CHCH) on uneven bars based on kinematic parameters. (2) Methods: This study involved elite female gymnasts from the 39th (n = 5, age: 17 ± 6 months) and 40th (n = 8, age: 17.5 ± 6 months) World Cups, totaling 13 gymnasts. Kinematic analysis was performed on 15 successful routines using the Ariel Performance Analysis System (Ariel Dynamics Inc., San Diego, CA). The analysis focused on 16 anthropometric reference points and 8 body segments, including the body mass center of gravity (CG). The main reference points analyzed were the hip joint, the shoulder joint, and the CG along the xy-axes. Trajectory, velocity, angle, and angular velocity of the hips and shoulders were calculated. Pearson correlation analysis was employed to assess the relationships between the kinematic variables. (3) Results: High intercorrelations between the reference points along the xy-axes (0.81–0.99) and optimal movement velocity were found. Dispersed results were observed for kinematic parameters of angle (0.10–0.16) and angular velocity of the hip joints (0.60–1.00), with similar dispersions for shoulder joints (0.51–1.00). Three distinct techniques were identified: (1) stretched body with minimal hip joint flexion throughout; (2) extended body with a short, quick hip joint extension during shoulder movement; and (3) hyperextension in the hip joint. (4) Conclusions: The kinematic analysis revealed three different performance styles of the CHCH among finalists. These variations in technique do not affect the success of the performance. This research contributes to a better understanding of the technique but does not prefer one style over another. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The issue of the qualitative and quantitative analysis of the concentration of oxidising species in aquatic environments is crucial for a wide range of biological and environmental tasks. In particular, reactive chlorine species, specifically hypochlorite (ClO−), play a significant biochemical role in the operation of the immune system. There is also the challenge of determining the presence of ClO− in purified drinking water that is supplied by water treatment systems. Traditional chemical analytical methods often lack the required selectivity and sensitivity to detect oxidising compounds, and chemiluminescence-based techniques offer an alternative solution. In this study, we propose a simple and selective approach for the chemiluminescent detection of hypochlorite in aqueous media under neutral conditions. The technique is based on measuring a chemiluminescent signal generated in the presence of hypochlorite by a combined probe comprising commercially available WS2 quantum dots and luminol. The oxidation of WS2 with hypochlorite followed by a reaction with luminol results in an intense luminescent signal that enables the selective determination of hypochlorite under neutral conditions. The greatest sensitivity with this method was achieved when combining WS2 quantum dots with L-012, a highly sensitive analogue of luminol. Additionally, the use of L-012 improved the detection limit for hypochlorite to 2 × 10−6 M. Due to its selectivity in determining hypochlorite in the presence of reactive oxygen species (hydrogen peroxide) under neutral conditions with high sensitivity and with a wide linear range, the proposed approach provides an attractive analytical tool for the analysis of water samples and biological liquids. [ABSTRACT FROM AUTHOR]

The water quality of the various domestic water sources used in Owerri Imo State was monitored. These water sources include the municipal tap water (A1, A2), borehole (B1, B2), Otammiri (C1, C2), Nworie (D1, D2) and rainwater (E1, E2). A total of ten (10) water samples from different sources were analyzed for appearance, odour, pH, electrical conductivity, temperature, total heterotrophic bacterial counts (THBC), total coliform counts (TCC), and total Salmonella Shigella counts (TSSC). The data obtained were compared to WHO and NISDWQ standards for drinking and domestic water. The water samples revealed a slightly acidic pH ranging between 6.43 and 6.96. Electrical conductivity ranged from 42.05 ±1.42 μS/cm - 360.92 ±6.77 μS/cm. The temperature of the water samples between 20.6 ℃ and 28.8 ℃. The water samples revealed an overall low bacterial count. Sample B1 recorded the lowest THBC of 1.0×10² ±0.01 cfu/mL, while sample D2 recorded the highest THBC of 2.1×106 ±0.06 cfu/mL. The highest TCC of 3.7×104 ±0.06 cfu/mL was observed in sample C2, while sample B1 recorded no visible growth for TCC. For TSSC, samples A1, A2, B1, B2, and E1 recorded no visible growth, while sample C1 revealed the highest TSSC of 2.1×10² ±0.011 cfu/mL. This study has revealed that only sample B1 aligned with the stipulated WHO and NISDWQ standards for drinking and domestic water. [ABSTRACT FROM AUTHOR]

Mycotoxins are toxic compounds produced by fungi such as Aspergillus, Penicillium, and Fusarium, contaminating various food crops and posing severe risks to food safety and human health. This review discusses mycotoxins' origins, significance, and impact, particularly in relation to cancer risk. Major mycotoxins like aflatoxins, ochratoxins, fumonisins, zearalenone, and patulin are examined, along with their sources and affected foods. The carcinogenic mechanisms of these toxins, including their biochemical and molecular interactions, are explored, as well as epidemiological evidence linking mycotoxin exposure to cancer in high-risk populations. The review also highlights critical methodologies for mycotoxin detection, including HPLC, GC-MS, MS, and ELISA, and the sample preparation techniques critical for accurate analysis. Strategies for controlling mycotoxin contamination, both pre- and post-harvest, are discussed, along with regulations from organizations like the FAO and WHO. Current challenges in detection sensitivity, cost, and control effectiveness are noted. Future research is needed to develop innovative analytical techniques, improve control strategies, and address the influence of climate change on mycotoxin production. Finally, global collaboration and emerging technologies are essential for advancing mycotoxin control and enhancing food safety. [ABSTRACT FROM AUTHOR]

Cardiovascular diseases (CVDs) present a significant global public health threat, contributing to a substantial number of cases involving morbidity and mortality. Therefore, the early and accurate detection of CVDs plays an indispensable role in enhancing patient outcomes. Decades of extensive research on electrocardiography at high frequencies have yielded a wealth of knowledge regarding alterations in the QRS complex during myocardial ischemia, as well as the methodologies to assess and quantify these changes. In recent years, the analysis of high-frequency QRS (HF-QRS) components has emerged as a promising non-invasive approach for diagnosing various cardiovascular conditions. Alterations in HF-QRS amplitude and morphology have demonstrated remarkable sensitivity as diagnostic indicators for myocardial ischemia, often surpassing measures of ST-T segment changes. This comprehensive review aims to provide an intricate overview of the current advancements, challenges, and prospects associated with HF-QRS analysis in the field of CVDs. [ABSTRACT FROM AUTHOR]

In order to analyze the needs of the elderly at the signalized intersection and evaluate the service level of the elderly pedestrians, a service level evaluation model based on subjective evaluation and intersection traffic characteristics was established. The traffic characteristic parameters of 33 signal-controlled crosswalks were obtained through field observation and video analysis. A truncated questionnaire was used to obtain the subjective value of pedestrian service level evaluation of the elderly crossing the street with synchronous conditions. The initial selection was based on nonlinear, linear and fuzzy linear regression models. Based on the data analysis of 30 crosswalks, Pearson correlation coefficient and Spearman correlation coefficient were used to identify the key factors affecting the service level of the elderly crossing the street. Taking the key factors as input, comparing the nonlinear, linear and fuzzy linear regression models, the results showed that the multivariate nonlinear regression model of elderly pedestrian service level evaluation was better in terms of fit and error, and the data of 3 crosswalks in the verification group further confirm the applicability of the model. The research results could provide some reference for the study of traffic safety improvement strategies in the aging trend. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to analyze the clinicopathological characteristics and survival outcomes of tongue cancer in the pediatric population, a topic with limited existing data, using a population‐based cohort. Methods: Pediatric patients diagnosed with tongue cancer from 1975 to 2018 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Survival rates were assessed using Kaplan–Meier analysis. Univariate survival analysis was conducted with the log‐rank test, while multivariate analysis involved Cox proportional‐hazards regression to identify factors influencing overall survival (OS). A predictive nomogram was developed based on Cox regression findings. Results: In total, 97 pediatric patients with tongue cancer were identified, with a median age at diagnosis of 15 years (range: 1–19 years). Tumors were classified as squamous cell carcinoma (45.4%), rhabdomyosarcoma (RMS) (13.4%), and others (41.2%). Of the patients, squamous cell carcinoma was more common in older children, whereas rhabdomyosarcoma was more common in younger children. The Cox proportional hazard regression revealed that histology and surgery were significant independent predictors of overall survival. The chance of death increased with no surgery. Moreover, patients with squamous cell carcinoma or rhabdomyosarcoma have a poorer survival percentage than patients with other subtypes. Conclusions: Tongue cancer in children is rare and associated with poor survival outcomes. This study highlights the significance of tumor histology and surgical intervention in determining overall survival, offering valuable insights for clinical decision‐making in pediatric tongue cancer. [ABSTRACT FROM AUTHOR]

Functional data analysis (FDA) is a contemporary area of statistics designed for analysis of functions or curves. FDA has grown in human movement applications over the last three decades, with it being applied across a range of sport applications including rowing, weightlifting, diving, race-walking, jumping and running. Functional principal components analysis (fPCA) has been the most commonly used technique in sports biomechanics, often being applied to better understand characteristics of variability present in curves from biomechanical variables sampled from sporting movements. Given that FDA is an area of statistics with specific techniques for processing and analysing data, it provides one valuable platform for biomechanists to understand and think about their data more holistically. Further, the visual interpretability that FDA techniques provide, there is great potential for FDA to be used beyond research contexts, as a suite of practical tools to assist practical sports biomechanists in making decisions in sport. This review aims to demonstrate some methods yet to be applied in sports biomechanics, with simple sports biomechanics data applications taken from rowing. This article aims to showcase the value that FDA may have in assisting practitioners as they make decisions with athletes regarding their movement characteristics. [ABSTRACT FROM AUTHOR]

Extreme weather events are becoming more severe and frequent worldwide. This study employs the Mann–Kendall test and Thein-Sen estimator for analysing the mean temperature trend in India’s four densely populated metropolitan cities of New Delhi, Kolkata, Mumbai, and Chennai under representative concentration pathways (RCP) 4.5 and 8.5 scenarios. The trend reveals rising temperatures across four Indian regions with the change being more dominant under RCP 8.5 scenario. By the end of the twenty-first century, RCP 4.5 and 8.5 anticipate a significant rise in mean temperature of 6.0°C and 9.0°C in the Western Himalayas, 5.0°C and 7.5°C in East India and 4.0°C and 7.0°C in the Thar Desert’s south-eastern region. Spatio-temporal variation also indicated the influence of heat waves across different regions of India in the late twenty-first century. There should be relevant long-term and short-term policies to mitigate the effect of climate change and optimise the mortality rate caused by heat stress. [ABSTRACT FROM AUTHOR]

Life support technology is one of the most critical technologies in manned submersibles, acting for the pilots of the submersible and thus directly affecting its underwater safety. Due to its importance, many countries and international organizations have proposed standards and specifications for life support technology. This paper presents an overview of the life support technology of manned submersibles, comparing the standards proposed for it. Furthermore, it analyzes the specific data of oxygen supply and carbon dioxide absorption, both of which are critical aspects of life support technology in each standard, and identifies the data that is widely acknowledged and recognized as the basis for establishing ISO standard 22252:2020). Finally, ISO standard data such as oxygen and carbon dioxide concentration are further confirmed by the environmental parameters of manned submersibles such as the Fendouzhe. [ABSTRACT FROM AUTHOR]

Machine learning (ML) is transforming the field of image processing and analysis, from automation of laborious tasks to open-ended exploration of visual patterns. This has striking implications for image-driven life science research, particularly microscopy. In this Review, we focus on the opportunities and challenges associated with applying ML-based pipelines for microscopy datasets from a user point of view. We investigate the significance of different data characteristics -- quantity, transferability and content -- and howthis determines whichMLmodel(s) to use, as well as their output(s). Within the context of cell biological questions and applications, we further discuss ML utility range, namely data curation, exploration, prediction and explanation, and what they entail and translate to in the context of microscopy. Finally, we explore the challenges, common artefacts and risks associated with ML in microscopy. Building on insights from other fields, we propose how these pitfalls might be mitigated for in microscopy. [ABSTRACT FROM AUTHOR]

This article studies the verbal communicative strategies of engagement of female booktubers from Spain, the United Kingdom and the United States. As starting point it reviews the online community of Booktube using the theoretical framework of the participatory culture. Methodologically, a multimodal discourse analysis was conducted but only contemplating the verbal aspects, supported by social semiotics. Results have highlighted how booktubers talk colloquially with their audience, including them in their discourse, taking care of them while encouraging possibilities of interaction or boosting forms of collaborating with third-parties to benefit their audiences without any personal gain. [ABSTRACT FROM AUTHOR]