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Background: This study aimed to examine the association between socioeconomic status (SES) and optimal movement behaviors including sufficient moderate-to-vigorous physical activity (PA), regular leisure-time PA, and less sedentary behavior. Methods: We used data from the Japanese Study on Stratification, Health, Income, and Neighborhood conducted in 2012. Activity patterns and SES were measured using International Physical Activity Questionnaire Short-Version and other self-administered questionnaires. Activity pattern outcomes assessed were sufficient total volume of moderate-to-vigorous PA (≥150 min/wk), regular leisure-time PA (≥1 d/wk), less sedentary time (≤4 h/d), and optimal movement behaviors (meeting all criteria). SES variables were equivalized annual income, educational attainment, and occupation. Logistic regression analysis adjusted for confounders. Results: We included 731 men and 852 women. Lower income levels were associated with less leisure-time PA among men and women (men, odds ratio [OR]: 0.60 and 0.65 for Q2 and Q1 [lowest], respectively; women, OR: 0.53 and 0.56 for Q2 and Q1 [lowest]). Lower SES groups associated with less sedentary time (men, OR: 1.82 for blue-collar; women, OR: 1.44 for Q1 income level, 1.61 and 1.53 for junior college, technical school, and high school/junior high school, respectively; 1.89 for unemployed). SES was not significantly associated with optimal movement behavior in both sexes (in men, OR for those with high school or junior high school education vs those with university or graduate school education = 0.81 [0.43–1.53]). Conclusion: Activity patterns varied by SES, with lower income associated with less leisure-time PA and white-collar workers associated with more prevalent sedentary behavior among both sexes. [ABSTRACT FROM AUTHOR]

Purpose: We investigated the effect of a content knowledge workshop on a teacher's content development in terms of selected task types, task adaptations, and in turn children's task performance during a six-lesson crawl swimming unit in elementary school. Methods: One physical education teacher taught two 6-lesson units of the front crawl before (comparison) and after (experimental) the workshop to different children (n = 88). Task types, task adaptations, and task performance were collected live by trained observers. Results: The number of tasks taught increased from 48 to 61 after the workshop. Informing tasks decreased 28% (p =.005) and applying tasks increased 11% (p =.039). Task adaptations increased from 123 to 211 (p =.021). A significantly higher proportion of tasks was correctly performed by more children in the experimental group. Discussion/Conclusion: The content knowledge workshop caused a substantial shift in the teacher's content development, which resulted in more children correctly performing the tasks. [ABSTRACT FROM AUTHOR]

Many theoretical methods have been applied to research user behaviour and requirements. However, the uncertainty associated with customer characteristics often biases the conclusions drawn from customer research and affects the effectiveness of product design. In this paper, Bayesian networks (BN) are introduced into the research on customer behaviour analysis based upon theory of planned behaviour (TPB), and an analysis model driven by customer research data is established from the perspective of user behaviour intention to guide design optimisation. Combining the User background Factor with the TPB Factor, the model analyses the uncertainty of the association between the two, and corrects the errors in the designer's prior knowledge through structural learning. By a case study the paper finds that the evaluations that enhance customers' subjective norms and perceived behavioural control lead to a greater probability of purchase or use. In addition, customers with specific characteristics are more inclined to generate behaviour intention. The paper finally provides a design optimisation plan based upon the result of the research and discusses about the advantages of the research approaches and the directions of future researches. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this systematic review is to reveal the social, personal, and contextual factors that influence physical activity (PA) in children and adolescents during and after cancer treatment. Method: SPORTDiscus, Cochrane, Web of Science, PubMed, and FIS Education electronic database were systematically searched. Results: The 13 included studies show that social support (parents, siblings, and friends) in particular is rated as important by cancer survivors; for example, doing PA together. Depending on the treatment status and state of health, particularities arise. During the acute treatment phase, parents issued more prohibitions regarding PA than after treatment. The state of health and concern about infections are described as inhibiting factors. Not all hospitals generally offer special exercise programs for cancer patients, and in some cases, only sporadic exercise sessions were conducted by specialized staff. In addition, the hospital atmosphere, such as cramped rooms, tends to be associated with demotivating effects. Conclusions: Both inhibiting and promoting factors in the area of social, personal, and contextual factors could be identified. The most fundamental factor for PA is the physical condition. Social factors, such as parents or friends, often have a motivating effect and can promote PA. Inhibiting factors are mainly context-related, such as an environment unsuitable for PA. Although the review highlights interesting aspects, further treatment-related and longitudinal studies could provide deeper insights. [ABSTRACT FROM AUTHOR]

Molecular dynamics and density functional theory simulations are used to predict the lattice and electronic contributions of thermophysical properties for UN, PuN, and mixed (U,Pu)N systems. The properties predicted include the lattice parameter, linear thermal expansion, enthalpy, and specific heat capacity, as a function of temperature. The simulation predictions for high temperature specific heat capacity are compared against experimental measurements to understand the behavior, and why differences in the experimental measurements are observed. The influence of adding U vacancies, N interstitials, and Pu to UN is also examined. For this, a new PuN potential parameter set is developed and used with the Kocevski UN potential, enabling the dynamics of mixed (U,Pu)N systems to be studied. How defects impact the thermophysical properties is important for understanding fuel behavior under different reactor conditions, and these mechanistic predictions can be used to support fuel performance codes where data is scarce. [ABSTRACT FROM AUTHOR]

We introduce a novel stakeholder-oriented framework that highlights variance in the application and expression of gender bias in the upper echelons. Directed by their relationship with the firm's leadership, we theorize that stakeholders' appraisals of top female leaders map onto a categorical and complex continuum. At the "categorical" end of this continuum, stakeholders neither have access nor are attentive to capability cues from the leader, increasing their reliance on stereotypes and gender biases in their leader evaluations. At the "complex" end of the continuum, stakeholders have access and are attentive to capability cues from the leader, decreasing their reliance on stereotypes and increasing their ability to accurately evaluate the leader. Between these ends, stakeholders evaluate female leaders by applying stereotypes and striving for accuracy to varying degrees. Each region on this continuum is linked to an array of behavioral responses, directed by stakeholders toward a target leader, that differ in valence and intensity. Our framework has significant implications for understanding a variety of social biases beyond gender, and enables the development of tailored strategies that can be used to facilitate accurate leader evaluations by all stakeholders. [ABSTRACT FROM AUTHOR]

The early years, which encompass the first 4 years of life, are a critical period for development and have long-term implications for health. Physical activity is an important behavior that supports healthy development during this time. However, research on movement behaviors in the early years is still limited compared to other age groups. This article highlights the current evidence and future research directions for understanding movement behaviors in the early years, including the need for longitudinal studies, standardized measurement tools, and interventions that target all movement behaviors. Additionally, there is a call for research that focuses on children aged <3 years, as well as low- and middle-income countries, to address health inequities and promote population health. [Extracted from the article]

Developmental exposures to PCBs are implicated in the etiology of neurodevelopmental disorders (NDDs). This observation is concerning given the continued presence of PCBs in the human environment and the increasing incidence of NDDs. Previous studies reported that developmental exposure to legacy commercial PCB mixtures (Aroclors) or single PCB congeners found in Aroclors caused NDD-relevant behavioral phenotypes in animal models. However, the PCB congener profile in contemporary human samples is dissimilar to that of the legacy Aroclors, raising the question of whether human-relevant PCB mixtures similarly interfere with normal brain development. To address this question, we assessed the developmental neurotoxicity of the Fox River Mixture (FRM), which was designed to mimic the congener profile identified in fish from the PCB-contaminated Fox River that constitute a primary protein source in the diet of surrounding communities. Adult female C57BL/6 J mouse dams (8-10 weeks old) were exposed to vehicle (peanut oil) or FRM at 0.1, 1.0, or 6.0 mg/kg/d in their diet throughout gestation and lactation, and neurodevelopmental outcomes were assessed in their pups. Ultrasonic vocalizations (USVs) and measures of general development were quantified at postnatal day (P) 7, while performance in the spontaneous alternation task and the 3-chambered social approach/social novelty task was assessed on P35. Triiodothyronine (T3) and thyroxine (T4) were quantified in serum collected from the dams when pups were weaned and from pups on P28 and P35. Developmental exposure to FRM did not alter pup weight or body temperature on P7, but USVs were significantly decreased in litters exposed to FRM at 0.1 or 6.0 mg/kg/d in the maternal diet. FRM also impaired male and female pups' performance in the social novelty task. Compared to sex-matched vehicles, significantly decreased social novelty was observed in male and female pups in the 0.1 and 6.0 mg/kg/d dose groups. FRM did not alter performance in the spontaneous alternation or social approach tasks. FRM increased serum T3 levels but decreased serum T4 levels in P28 male pups in the 1.0 and 6.0 mg/kg/d dose groups. In P35 female pups and dams, serum T3 levels decreased in the 6.0 mg/kg/d dose group while T4 levels were not altered. Collectively, these findings suggest that FRM interferes with the development of social communication and social novelty, but not memory, supporting the hypothesis that contemporary PCB exposures pose a risk to the developing brain. FRM had sex, age, and dose-dependent effects on serum thyroid hormone levels that overlapped but did not perfectly align with the FRM effects on behavioral outcomes. These observations suggest that changes in thyroid hormone levels are not likely the major factor underlying the behavioral deficits observed in FRM-exposed animals.

We investigate the magnetic behavior and critical exponents of quaternary CoFeV 0.8 Mn 0.2 Si Heusler alloy to understand the interactions across the Curie temperature (T C ). The Rietveld refinement of the x-ray diffraction pattern with the space group F 4 ¯ 3m confirms a single-phase cubic Y-type crystal structure. The magnetic susceptibility χ (T) data show a ferromagnetic nature with a second-order phase transition from paramagnetic to ferromagnetic at 446 ± 1 K. The saturation magnetization at 5 K is found to be 2.2 μ B /f.u., which is close to the Slater–Pauling rule and indicates its half-metallic nature. The values of asymptotic critical exponents (β , γ , and δ) and the T C are extracted through detailed analytical analysis including the modified Arrott plot, the Kouvel–Fisher (K–F) method, and the Widom scaling relation. Interestingly, the estimated values of β = 0.369 and γ = 1.445 closely approximate the theoretical values of the 3D Heisenberg model across the T C and validate the second-order thermodynamic phase transition. The obtained exponents lead to the collapse of renormalized isotherms, represented by the relationship between the magnetization (m) and the applied magnetic field (h), into two distinct branches above and below the T C , which validates the reliability of the analysis. Furthermore, these exponents suggest that the spin interaction follows a decay pattern of J (r) ∼ r − 4.99 , indicating a short-range magnetic ordering, akin to the itinerant-electron 3D Heisenberg model. [ABSTRACT FROM AUTHOR]

BACKGROUND: Evidence suggests that early life adversity is associated with maladaptive behaviors and is commonly an antecedent of stress-related psychopathology. This is particularly relevant to rearing in primate species as infant primates depend on prolonged, nurturant rearing by caregivers for normal development. To further understand the consequences of early life rearing adversity, and the relation among alterations in behavior, physiology and brain function, we assessed young monkeys that had experienced maternal separation followed by peer rearing with behavioral, endocrine and multimodal neuroimaging measures. METHODS: 50 young rhesus monkeys were studied, half of which were rejected by their mothers and peer reared, and the other half were reared by their mothers. Assessments were performed at approximately 1.8 years of age and included: threat related behavioral and cortisol responses, cerebrospinal fluid (CSF) measurements of oxytocin and corticotropin releasing hormone (CRH), and multimodal neuroimaging measures (anatomical scans, resting functional connectivity, diffusion tensor imaging, and threat-related regional glucose metabolism). RESULTS: The results demonstrated alterations across behavioral, endocrine, and neuroimaging measures in young monkeys that were reared without their mothers. At a behavioral level in response to a potential threat, peer reared animals engaged in significantly less freezing behavior (p = 0.022) along with increased self-directed behaviors (p

In our study, we conduct a comprehensive theoretical analysis on the propagation behavior of a Gaussian pulse through a four-level Λ-type rubidium atomic medium under room temperature conditions. Our investigation uncovers the presence of two distinct wavepackets within the medium's transmission signal. The primary wavepacket, linked to electromagnetically induced transparency transmission, serves as the central signal in the study. Characterized by its optical beat signal utilized for fast microwave strength detection, this wavepacket demonstrates notable features such as pronounced normal dispersion and decreased group velocity. Additionally, the emergence of the Sommerfeld–Brillouin precursor as the second wavepacket further enriches our understanding of pulse dynamics in the medium. Our simulation findings reveal the potential for the optical precursor to play a dominant role in the transmission signal with the adopted methodology. Furthermore, we identify that experimental parameters like atomic density, vapor cell length, and control field intensity play crucial roles in modulating the time delay of the primary signal and the amplitude of the optical precursor. [ABSTRACT FROM AUTHOR]

Grouping students according to their abilities and promoting deeper interaction and moderation are key issues in improving computational thinking in collaborative programming. However, the distribution characteristics and evolving pathways of computational thinking in different groups have not been deeply explored. During the course of a twelve-week term, 30 sophomores participated in shared regulation-supported collaborative programming activities. This study employed statistical analysis, lag sequence analysis, and epistemic network analysis to examine the effects of ability grouping on students' behavioral patterns and cognitive networks of computational thinking. The study shows heterogeneous groups predominantly engaged with computational practices and ideas, while within homogeneous groups, high-ability groups concentrated on computational practices and low-ability groups on computational concepts. Analysis of behavior sequences across varying ability groups revealed that heterogeneous groups exhibited significantly more behaviors related to monitoring and evaluation, forming a cyclical correlation, unlike homogeneous groups which did not exhibit reflective collaborative effects. Moreover, in the initial phases of collaborative programming, the structure of the computational thinking network varied markedly across groups of different competencies. However, as group awareness tools were progressively employed, the cognitive network centroids of all groups began to show converging trajectories. These results underscore that both shared regulation strategies and grouping strategies can facilitate the enhancement of computational thinking, offering theoretical insights and practical guidance for the higher education sector. [ABSTRACT FROM AUTHOR]

This study employs a computationally efficient multi-scale stack model, integrating computational fluid dynamics (CFD) and finite element method (FEM), to investigate the electrochemical performance of commercial solid oxide cell (SOC) stacks from Elcogen. By utilizing a novel homogenized approach, the model provides a comprehensive evaluation of stack behavior while significantly reducing computational complexity. Validation against experimental data for 15- and 39-cell stacks operating in both fuel cell and electrolysis modes demonstrates excellent agreement, with polarization curves matching closely and central temperature predictions showing minor discrepancies. Maximum temperature deviations are 1.5% and 2.2% for the 15- and 39-cell stacks under fuel cell mode, respectively, and 1% for the 15-cell stack under electrolysis mode. This stack-scale model highlights the influence of stack geometry and operating conditions on distributions of species, pressure, temperature, area-specific resistance (ASR), and current density. Results reveal uniform species distributions across the stacks, attributed to their innovative header design, and underscore the dominant role of ASR in shaping current density trends at the gas inflow temperature of 613 °C, where reverse trends are observed at the stack outlet/inlet. Additionally, the taller stack configuration amplifies thermal stress risks due to localized temperature maxima at the outlet. This study highlights the impact and potential of a stack-scale model employing a homogenized approach for efficiently advancing the understanding of the electrochemical performance of SOC stacks. • Investigating the electrochemical performance of commercial Elcogen SOC stacks. • Elcogen stacks are studied under both fuel cell and electrolysis operation modes. • Novel Elcogen header design leads to uniform species distributions across the stack. • Current density distribution shows a reverse trend under low gas inflow temperature. • This work employs a homogenized approach for stack-scale simulations. [ABSTRACT FROM AUTHOR]

The pinned joint tensile properties and failure behaviors of carbon-fiber-reinforced polyetherketoneketone (CF/PEKK) composites are sensitive to application temperatures. Herein, this study investigated the temperature-dependent mechanical behavior of CF/PEKK composites in a pinned joint configuration, emphasizing the impact on tensile behavior and bearing strength. Utilizing Solvay's CF/PEKK prepreg with a quasi-isotropic stacking sequence, tensile tests were conducted at − 1 5 0 ∘ C and 230∘C. At − 1 5 0 ∘ C, increased load-pin displacement stiffness was observed, attributed to reduced polymer chain mobility, leading to increased peak load and concentrated bearing area around the pin contact region. Conversely, at 230∘C, a substantial reduction in stiffness and peak load was evident, emphasizing the severe deterioration of pin-load strength. Fracture analysis revealed distinct failure modes at different temperatures, highlighting localized compressive failure at − 1 5 0 ∘ C and severe permanent bearing failure at 230∘C. Understanding these temperature-dependent behaviors is critical for optimizing CF/PEKK composite applications in diverse industrial settings, providing insights for enhanced performance and reliability. The findings offer valuable information on the material's behavior under extreme temperature conditions, contributing to the design and application of CF/PEKK composites in various industrial scenarios. [ABSTRACT FROM AUTHOR]

In this study, we investigated the impact of adding Triphenylphosphine (TPP) at concentrations of 1 wt.%, 3 wt.%, and 5 wt.% to an epoxy-anhydride system that displays, a degradation in mechanical properties at high temperatures. We conducted an analysis of cure behavior using differential scanning calorimetry and evaluated flexural, shear, and tensile strengths at room temperature. To assess heat resistance, CFRP specimens were exposed to 100∘C for 1 h, and tensile strengths were subsequently measured. The addition of 3 wt.% TPP resulted in a 5 min reduction in the time required to reach a 95% degree of cure, but it was observed that mechanical properties at room temperature were compromised. CFRP exposed to 100∘C indicated that an increase in TPP content helped mitigate the degradation of mechanical properties. [ABSTRACT FROM AUTHOR]

Introduction: Migraine, a common disorder marked by severe and repetitive headaches, has been linked to the involvement of the NMDA receptor (NMDAR), a receptor responsible for glutamate signaling. Moringa oleifera (M. oleifera), recognized for its anti-inflammatory properties and therapeutic potential in various conditions, has been investigated. This study aims to assess the efficacy and precise mechanisms of M. oleifera for the treatment of migraine, for which evidence is limited. Methods: Rats were stratified into four distinct groups. The control group did not undergo the migraine-induction protocol. Post-induction, the "sumatriptan" group was administered sumatriptan injections, the "treatment" group received oral M. oleifera extract, and the "vehicle" group was provided with oral solvent treatment. Behavioral evaluations encompassing Von Frey's and hot plate assessments, in addition to qPCR analysis targeting Nr2a, Nr2b, Bax, Bcl-2, and Caspase-3, were conducted. Results: Von Fery's and hot plate tests revealed a notable decrease in triggering pressure and temperature within the vehicle group when compared to the other groups (both ps < 0.001). The Nr2a expression levels in both the vehicle and treatment cohorts exhibited significantly higher values than those observed in the control group (p < 0.001, p = 0.001) and the sumatriptan group (p < 0.001, p = 0.002). Conversely, no substantial alterations in Nr2b or Bcl-2 expression levels were observed across the study groups (p = 0.404, p = 0.976). Notably, heightened expressions of Caspase-3 and Bax were evident in the vehicle group relative to the other groups (p = 0.013, p = 0.010). Conclusions: Moringa oleifera extract appears to mitigate symptoms of migraine by inhibiting apoptosis, suggesting potential efficacy in migraine treatment; however, additional research investigating a wider range of pathways is necessary. Clinical trial number: Not applicable. [ABSTRACT FROM AUTHOR]

Animal behavior spans many timescales, from short, seconds-scale actions to daily rhythms over many hours to life-long changes during aging. To access longer timescales of behavior, we continuously recorded individual Drosophila melanogaster at 100 frames per second for up to 7 days at a time in featureless arenas on sucrose-agarose media. We use the deep learning framework SLEAP to produce a full-body postural dataset for 47 individuals resulting in nearly 2 billion pose instances. We identify stereotyped behaviors such as grooming, proboscis extension, and locomotion and use the resulting ethograms to explore how the flies' behavior varies across time of day and days in the experiment. We find distinct daily patterns in all stereotyped behaviors, adding specific information about trends in different grooming modalities, proboscis extension duration, and locomotion speed to what is known about the D. melanogaster circadian cycle. Using our holistic measurements of behavior, we find that the hour after dawn is a unique time point in the flies' daily pattern of behavior, and that the behavioral composition of this hour tracks well with other indicators of health such as locomotion speed and the fraction of time spend moving vs. resting. The method, data, and analysis presented here give us a new and clearer picture of D. melanogaster behavior across timescales, revealing novel features that hint at unexplored underlying biological mechanisms. Author summary: Animal behavior shows patterns across many different timescales, from repeated grooming sequences that occurs over minutes, to the circadian rhythms that encompass a 24-h period, to the changes in behavior that occur over the course of a lifetime. Recent advances in computer vision and machine learning now allow us to measure these behaviors quantitatively, giving us deeper insight into exactly what behaviors are present and the intricate time sequences they form. Here, we measure the continuous behavior of fruit flies over a period of up to 7 days. Our fine-grained analysis allows us to observe new facets of the circadian cycle of behavior, such as daily patterns in the amount of time spent grooming and the speed of locomotion. We find that the well known morning and evening spikes in overall activity levels comprise different sets of behaviors, meaning that they may serve distinct biological purposes. The method we develop for continuous, high-resolution monitoring of behavior can be utilized in future studies to examine how these behaviors are related to longevity and health. [ABSTRACT FROM AUTHOR]

In recent years, the use of natural products as alternatives to synthetic anesthetic agents has gained notoriety in aquaculture. Among the essential oils studied, Lippia alba has attracted attention due to its diverse pharmacological properties, including sedative and anesthetic effects. This study aims to evaluate the anesthetic activity of Lippia alba essential oil (LAEO) to propose a therapeutic window for its use in tambaqui (C. macropomum). In this research, juvenile tambaqui (10.9 ± 5.9g, n = 90) were submitted to anesthetic baths with LAEO at concentrations of 80–140 μL.L-1 for behavioral assessment and electrophysiological recordings. The findings showed that all concentrations were effective in inducing the loss of posture reflex and its subsequent reversible return. However, electrocardiographic recordings at concentrations of 120 and 140 μL.L-1 revealed alterations in the graph elements, indicating more intense bradycardia and atrioventricular block during anesthetic induction. Nevertheless, during the anesthetic recovery period, cardiac normality was restored at all tested concentrations, although more slowly at the highest concentration (140 μL.L-1). Thus, we conclude that this oil is safe for providing short-term anesthesia at concentrations between 80 and 100 μL.L-1 in C. macropomum specimens. [ABSTRACT FROM AUTHOR]

Objective: The behavioral and diagnostic heterogeneity within the opioid use disorder (OUD) diagnosis is not readily captured in current animal models, limiting the translational relevance of the mechanistic research that is conducted in experimental animals. The authors hypothesized that a nonlinear clustering of OUD-like behavioral traits would capture population heterogeneity and yield subpopulations of OUD vulnerable rats with distinct behavioral and neurocircuit profiles. Methods: Over 900 male and female heterogeneous stock rats, a line capturing genetic and behavioral heterogeneity present in humans, were assessed for several measures of heroin use and rewarded and non-rewarded seeking behaviors. A nonlinear stochastic block model clustering analysis was used to assign rats to OUD vulnerable, intermediate, and resilient clusters. Additional behavioral tests and circuit analyses using c-fos protein activation were conducted on the vulnerable and resilient subpopulations. Results: OUD vulnerable rats exhibited greater heroin taking and seeking behaviors relative to those in the intermediate and resilient clusters. Akin to human OUD diagnosis, further vulnerable rat subclustering revealed subpopulations with different combinations of behavioral traits, including sex differences. Lastly, heroin cue–induced neuronal patterns of circuit activation differed between resilient and vulnerable phenotypes. Behavioral sex differences were recapitulated in patterns of circuitry activation, including preferential engagement of extended amygdala stress circuitry in males and cortico-striatal drug cue-seeking circuitry in females. Conclusion: Using a nonlinear clustering approach in rats, the analysis captured behavioral diagnostic heterogeneity reflective of human OUD diagnosis. OUD vulnerability and resiliency were associated with distinct neuronal activation patterns, posing this approach as a translational tool in assessing neurobiological mechanisms underpinning OUD. [ABSTRACT FROM AUTHOR]

Background: The state of Louisiana ranked 4th in the US for per capita overdose rates as 56 out of 100,000 persons died due to overdose and 1,300 of those deaths involved opioids. Opioid involved deaths increased 131% between 2019 and 2022. A pharmacist-led opioid overdose education and naloxone distribution (OEND) program was developed at a SSP in New Orleans during the COVID-19 pandemic. The purpose of this research is to characterize the clients who participated in the OEND and to assess their learned knowledge and behaviors over time. Methods: A pharmacist led OEND program was created in April 2020 at a syringe service program (SSP) in New Orleans, Louisiana. OEND was provided by a licensed pharmacist and student pharmacists. OEND coincided with the SSPs activities one time a week. Participants first received harm reduction supplies through the SSP and then had the option of receiving OEND. Patients' demographic information was collected. Participants who said they received opioid overdose education from our OEND program were verbally given a knowledge and behavior assessment. Participants knowledge and behaviors were scored using a rubric. Results: A total of 32 OEND sessions were held from July 2020 through February 2023 resulting in 1453 overall participant interactions. Repeat participants completed 269 visits and averaged 2.3 visits in three years. The average age of participants who received OEND was 40 years old. Additionally, participants who accessed OEND were primarily white (67.77%, n = 811/1300) and mostly male (59.15%, n = 769/1300). Among the participants who visited the OEND station more than once, 160 responses were collected for how helpful the previous education session had been. Of these responses, 75% (= 120/160) were "Very helpful". Participants who repeated the program retained knowledge and showed a positive change in their behaviors regarding opioid overdose reversal. Conclusions: OEND programs established at SSPs play an important role in providing education to PWUD. Participants knowledge sustained over time; however, refresher education sessions may be valuable to ensure participants stay accurately informed. Participants find OEND helpful. As naloxone continues to become increasingly available, OEND is necessary in preventing opioid overdose deaths. [ABSTRACT FROM AUTHOR]

AbstractPurposeMethodsResultsConclusion\nIMPLICATIONS FOR REHABILITATIONLow back pain (LBP) poses global health management and economic challenges. Self-management of LBP is critical, and smartphone apps have great potential to facilitate LBP self-management. This study aimed to co-design a LBP Self-Management App Review Tool (LBP-SMART) for consumers to assess the quality, behaviour change and self-management potential of LBP self-management apps for LBP rehabilitation.Two-phase prospective cross-sectional design. Consumers and health professionals participated in four online co-design workshops, underpinned by the Co-KT framework, to develop a consumer-level assessment tool for LBP self-management smartphone apps. User evaluation of the tool (LBP-SMART) was then undertaken.Four stakeholders (consumers n = 2, health professionals n = 2) with the guidance of researchers (n = 3) participated in the workshops. The LBP-SMART was developed, consisting of seven categories: 1)Safety; 2)Download process; 3)Look, function and feel; 4)Customisation; 5)Goals and self-monitoring; 6)Enabling sharing and 7)Additional features. Five additional participants undertook user evaluation. All reported that the tool was easy to use/understand, and the order/sequencing was appropriate. The LBP-SMART has content validity based on evidence, stakeholder and expert views.The LBP-SMART guides consumers and health professionals on appropriate app choice with quality, and self-management and behaviour change potential features that may improve LBP rehabilitation outcomes.Low back pain (LBP) poses global health management, rehabilitation and economic challenges.Self-management of LBP is critical, and smartphone apps have great potential to facilitate LBP rehabilitation via self-management.The LBP-SMART guides consumers to choose apps with appropriate quality, and self-management and behaviour change potential features that may improve their LBP rehabilitation outcomes.The tool also may provide a guide for health professionals working with people with LBP to offer an alternative rehabilitation option.Low back pain (LBP) poses global health management, rehabilitation and economic challenges.Self-management of LBP is critical, and smartphone apps have great potential to facilitate LBP rehabilitation via self-management.The LBP-SMART guides consumers to choose apps with appropriate quality, and self-management and behaviour change potential features that may improve their LBP rehabilitation outcomes.The tool also may provide a guide for health professionals working with people with LBP to offer an alternative rehabilitation option. [ABSTRACT FROM AUTHOR]

Practical functional assessment and skill-based treatment (PFA/SBT) is increasingly recognized as a safe and efficient behavioral assessment and treatment approach for severe challenging behaviors commonly exhibited by children with autism spectrum disorder (ASD). Few studies, however, have evaluated the safety, efficiency and acceptability of implementing PFA/SBT procedures by coaching caregivers via telehealth, particularly for caregivers with no prior experience and training. In this pilot single-case investigation, the mother and father of a 6-year-old autistic girl who exhibited severe challenging behaviors were individually coached in weekly one-hour sessions via telehealth to implement PFA/SBT procedures with their child over 12 weeks in their home. The child's father was subsequently coached to implement a treatment extension with the child in weekly one-hour telehealth sessions conducted over an additional 12-week period. Neither parent had prior training or experience implementing behavioral interventions with their child. Results showed that both parents implemented the intervention with high fidelity and that dangerous forms of challenging behavior rarely occurred during the treatment period. Both parents rated the intervention as highly acceptable. These results demonstrate that parents with limited knowledge and experience of behavioral principles can be successfully coached to implement PFA/SBT procedures via telehealth safely, efficiently, and with high fidelity. [ABSTRACT FROM AUTHOR]

Aims and objectives: This study examined the effect of the first language (L1) grammatical gender (GG) system on the second language (L2) gender agreement processing, particularly when L1 and L2 are asymmetric in their number of gender values such as in Spanish and German languages. Methodology: Behavioral and brain responses (ERPs) were registered while German native-speakers (16) and Spanish-German bilinguals (24) read sentences for comprehension. We manipulated gender agreement between the determiner and the noun: Der/*die Ring, "themasc/*thefem ringmasc." The nouns were either of similar or opposite gender across languages or unique in L2 (neuter gender). Data and analysis: Behavioral responses measured participants' ability to discriminate grammatical from ungrammatical sentences. For ERPs, N400 and P600 components were analyzed by means of a linear mixed-effect model. Findings/conclusion: Behavioral data showed that German native-speakers discriminated gender agreement violations better than Spanish-German bilinguals, irrespective of lexical gender overlap across languages. Native speakers showed a P600 effect to gender agreement violations, whereas bilinguals showed an N400-like effect to gender mismatches that involved same-gender nouns across languages and neuter gender nouns. Interestingly, opposite gender nouns between L1 and L2 that agreed in gender with the determiner were processed as incorrect for the bilinguals. These results suggest transfer effects from L2 learners' L1 GG system that facilitate L2 gender agreement processing for similar and neuter gender nouns or hinder it for opposite gender nouns across languages. Originality: This study used ERPs to demonstrate how asymmetries in terms of the number of lexical gender categories between L1 and L2 GG systems can affect L2 learners' ability to process L2 gender agreement in a native-like manner. Significance/implications: These findings elucidate the challenges L2 learners face when learning a three-gender value system in L2, including a great number of gender incongruences between L1 and L2 nouns and a new neuter gender category. [ABSTRACT FROM AUTHOR]

Using Moral Foundation Theory, we explored whether values, institutional trust, and risk perceptions affected support for policy tools in COVID-19 immunisation. We asked which variables were more influential and whether Israel and the United Kingdom differed. We used a quantitative method based on surveys and found that values played an essential role, mainly with coercive tools, but differently in the UK and Israel. Risk perceptions were more influential in Israel, and institutional trust was more influential in the UK. Values-oriented analysis adds to the behavioural aspects of the policy tools literature and can help policymakers choose policy tools and communicate them. [ABSTRACT FROM AUTHOR]

Children with neurofibromatosis type 1 (NF1) are at an increased risk for social–emotional difficulties. These difficulties, including depression and anxiety, are typically measured through parental report of child functioning in research and rarely have children with NF1 rated their own well-being. Discrepancies between parent proxy- and child self-report of psychosocial functioning in other populations have been shown to relate to socioemotional problems and distress. This study examined the concordance of parent proxy- and child self-report of child behavioral and social–emotional functioning on selected Behavior Assessment System for Children–Second Edition subscales in families of children with NF1 and plexiform neurofibroma tumors (pNFs). We also sought to explore possible child, family, and community factors relating to discrepancies in reporting for youth with NF1 and pNFs. Overall, parents reported higher symptoms across psychosocial domains (anxiety, depression, and atypicality) in comparison to their children. Furthermore, characteristics like child sex, attention-deficit hyperactivity disorder diagnosis, and family functioning significantly predicted differences in ratings of child functioning. These findings indicate that multi-informant studies are crucial to understanding multiple perspectives among family members in symptom-reporting and risk factors for these discrepancies. [ABSTRACT FROM AUTHOR]

Maintaining adequate levels of physical activity is challenging for many children. Parents, particularly mothers, play a pivotal role in children's engagement in health behaviors. This longitudinal study investigated the moderating role of maternal physical activity-related modeling behaviors on the typical age-related decline in children's physical activity. A total of six waves of 1-week ecological momentary assessments were conducted with mother–child dyads (N = 202) of 8- to 12-year-old children. The results indicated that both maternal physical activity and physical activity in the presence of their child attenuated the typical decline in the children's physical activity over time. These findings underscore the importance of maternal physical activity-related behaviors in shaping children's physical activity habits over time. The discussion centers on the need to further explore the mechanisms underlying these moderation effects and outlines implications for interventions targeting children's physical activity. [ABSTRACT FROM AUTHOR]

Most engineered systems intend to perform missions with a pre-specified target success probability to reduce undesirable failure risks. Before executing the next mission, inspection activities are conducted across various physical levels for assessing the probability of mission success. However, due to the randomness of a system's degradation behavior and the presence of measurement errors, inspection results inevitably contain uncertainty. Meanwhile, mission durations and acceptable system states may also be uncertain, due to uncontrollable factors, such as random operating environments and mission demands. In such a circumstance, it is of great significance to identify the optimal multilevel inspection policy to answer, as great confident as possible, the question that the system can complete the next mission with a target mission success probability. This paper develops a novel metric to gauge the effectiveness of a multilevel inspection policy to assess if the system can complete the next mission with a pre-specified target success probability from a risk-averse perspective, based on which an optimization method is proposed to seek an inspection policy under uncertain scenarios with the aim of minimizing the maximum regret of the proposed metric. A stochastic fractal search algorithm, along with two tailored local search rules, is designed to efficiently resolve the resulting optimization problem. Two cases, including a three-component system and a rocket fueling mechanism's control system, are used to illustrate the efficacy of the proposed approach, which is capable of effectively identifying the risk of mission failures by inspection policies. [ABSTRACT FROM AUTHOR]

Emerging research suggests that reproductive coercion and abuse (RCA), like intimate partner violence (IPV), is associated with poorer mental and sexual health outcomes, including greater symptoms of post-traumatic stress disorder (PTSD) and depression and poorer markers of physical and sexual health such as sexually transmitted infections, unplanned pregnancies and lowered sexual agency. Although victims/survivors of RCA report long-lasting impacts on future relationships, including fear and anxiety, little is known about impacts of RCA on anxiety and general wellbeing, nor emotional and mental components of sexual health that comprise a person's sexual self-concept. With community samples of participants in Australia, we conducted two studies to explore the impact of RCA and IPV on psychological (study 1) and sexual (study 2) health outcomes. Study 1 (n = 368) found that experiencing IPV and RCA both significantly and uniquely contributed to poorer mental health outcomes. After controlling for age and IPV, RCA significantly predicted symptoms of depression, anxiety, stress, PTSD, and reduced satisfaction with life. Study 2 (n = 329) found that IPV and RCA differentially predicted various components of sexual health. IPV predicted decreased sexual satisfaction and increased sexual anxiety, depression, and fear of sexual encounters. After controlling for age and IPV, RCA significantly and uniquely predicted lower levels of sexual assertiveness and increased sexual depression and fear of sexual encounters, but not sexual satisfaction or anxiety. We conclude that RCA is associated with significant psychological distress and a negative sexual self-concept that may impact future relationships. Screening for both IPV and RCA across settings is warranted. [ABSTRACT FROM AUTHOR]

In recent years, there has been a re-emerging interest in using inextensible reinforcement systems in reinforced earth structures. Regarding the pullout mechanism, optimum arrangements of inextensible reinforcement systems with bearing members are determined primarily via cumbersome large-scale experimental tests. An alternative approach to obtain the optimum arrangement of such reinforcements is numerical analysis. However, a convergent solution cannot be achieved via classical finite-element methods due to contact problems and mesh distortions. Moreover, common constitutive models cannot capture the primary pullout mechanism of inextensible reinforcements with bearing members. This study evaluated the primary pullout mechanism of a novel inextensible reinforcement system with bearing members, called the bearing bar reinforcement system, via large-scale monotonic pullout tests. In addition, the conducted pullout tests were simulated via a coupled Eulerian–Lagrangian (CEL) numerical approach with an advanced constitutive model. The agreement between the experimental and numerical results was good. This indicates that the numerical analysis can capture the main pullout mechanism of a reinforcement with a complex contact problem. The numerical analyses suggest that a spacing-to-height ratio of 10 is the optimal design in the sandy soil utilized in this study, because it ensures no interference between transversal elements. Practical Applications: Generally, transverse elements with an optimum arrangement should be installed in the resistant zone (at the back of the maximum tension plane) for economic and engineering purposes. In practice, the pullout failure criterion is governed by a shallow depth (typically less than 3 m) because there is a negligible embedded length in the resistant zone. Thus, the optimum arrangement of the bearing bar system resulting from the short height of the transverse elements (h) can be employed in this zone. However, the rupture failure criterion is governed by greater depths. An optimum arrangement of the bearing bar system can be created by increasing the height (h) and, in turn, the spacing (S) of the transverse elements in such areas. In summary, the appropriate spacing-to-height ratio of transverse members with the optimum arrangement can be employed in practice based on peak pullout forces in reinforcements, which depend upon the embedded length and the horizontal and vertical spacings of the reinforcements. [ABSTRACT FROM AUTHOR]

The relationship between sports expertise and working memory (WM) has garnered increasing attention in experimental research. However, no meta-analysis has compared WM performance between athletes and non-athletes. This study addresses this gap by comparing WM performance between these groups and investigating potential moderators. A comprehensive literature search identified 21 studies involving 1455 participants from seven databases, including PubMed, Embase, and ProQuest. Athletes primarily engaged in basketball, football, and fencing, while non-athletes included some identified as sedentary. The risk of bias assessment indicated low risk across most domains. Publication bias, assessed through a funnel plot and statistical tests, showed no significant evidence of bias. The forest plot, using a random effects model, revealed moderate heterogeneity. The overall effect size indicated a statistically significant, albeit small, advantage for athletes over non-athletes (Hedges' g = 0.30), persisting across sports types and performance levels. Notably, this advantage was more pronounced when athletes were contrasted with a sedentary population (Hedges' g = 0.63), compared to the analysis where the sedentary population was excluded from the non-athlete reference group (Hedges' g = 0.15). Our findings indicate a consistent link between sports expertise and improved WM performance, while sedentary lifestyles appear to be associated with WM disadvantages. [ABSTRACT FROM AUTHOR]

Background Autism spectrum disorder (ASD) is often accompanied by comorbid conditions such as attention deficit hyperactivity disorder and epilepsy. In this context, patients are often treated with psychostimulants in an attempt to control behavioral symptoms. This study aims to understand the behavioral effects of psychostimulants in children with ASD and investigate if interictal epileptiform discharges on electroencephalogram (EEG) can act as a modifying factor in this behavior. Methods Sixty-eight patients with ASD who were being accompanied in the Department of Child and Adolescent Psychiatry of the Centro Hospitalar Universitário de São João and had previously done an EEG assessment answered a questionnaire regarding their behavioral response to psychostimulants. Results In total, 47.4% of patients reported improved agitation, 56.1% enhanced concentration, and 8.8% improved sleep. Conversely, 28.1% experienced worsened agitation, 15.8% worsened concentration, and 17.5% worsened sleep. The remaining reported no alterations. The age of diagnosis correlated significantly with improved agitation, with a higher diagnosis age being associated with a higher probability of improvement. Extended-release methylphenidate and genetic variations were significantly associated with worsening of agitation. Regarding speech, 86% exhibited no changes, while 14% showed alterations, mostly, 87.5%, characterized as negative. For other behavioral alterations, 45.6% reported negative changes, 3.5% reported positive changes, and 50.9% reported no additional alterations. Female gender was significantly associated with other negative behavioral changes. A significant correlation was found between treatment duration and the probability of improvement in agitation, concentration, and other behavioral changes. [ABSTRACT FROM AUTHOR]

Bipolar disorder (BD), a severe neuropsychiatric condition, often appears during adolescence. Traditional diagnostic methods, which primarily rely on clinical interviews and single-modal magnetic resonance imaging (MRI) techniques, may have limitations in accuracy. This study aimed to improve adolescent BD diagnosis by integrating behavioral assessments with multimodal MRI. We hypothesized that this combination would enhance diagnostic accuracy for at-risk adolescents. A retrospective cohort of 309 participants, including patients with BD, offspring of patients with BD (with and without subthreshold symptoms), non-BD offspring with subthreshold symptoms, and healthy control participants, was analyzed. Behavioral attributes were integrated with MRI features from T1-weighted, resting-state functional MRI, and diffusion tensor imaging. Three diagnostic models were developed using GLMNET multinomial regression: a clinical diagnosis model based on behavioral attributes, an MRI-based model, and a comprehensive model integrating both datasets. The comprehensive model achieved a prediction accuracy of 0.83 (95% CI, 0.72–0.92), significantly higher than the clinical (0.75) and MRI-based (0.65) models. Validation with an external cohort showed high accuracy (0.89, area under the curve = 0.95). Structural equation modeling revealed that clinical diagnosis (β = 0.487, p <.0001), parental BD history (β = −0.380, p <.0001), and global function (β = 0.578, p <.0001) significantly affected brain health, while psychiatric symptoms showed only a marginal influence (β = −0.112, p =.056). This study highlights the value of integrating multimodal MRI with behavioral assessments for early diagnosis in at-risk adolescents. Combining neuroimaging enables more accurate patient subgroup distinctions, facilitating timely interventions and improving health outcomes. Our findings suggest a paradigm shift in BD diagnostics, advocating for incorporating advanced imaging techniques in routine evaluations. [ABSTRACT FROM AUTHOR]

With the advancement of artificial intelligence, machine vision offers a novel approach to university teaching quality evaluation (TQE). However, existing studies are often hindered by subjectivity and lack of standardized evaluation methods, which impede accurate assessment of student learning effectiveness. Therefore, this study addresses these limitations by proposing a TQE framework that integrates machine vision with single-valued neutrosophic hesitant fuzzy sets (SVNHFSs). Specifically, the main contributions of this study are as follows. First, this study innovatively employs machine vision to capture student learning behaviors, constructing a classroom behavior matrix that serves as the foundation for evaluation. Second, this study introduces a combined weighting method, leveraging both the entropy weight method and the Criteria Importance Through Inter-Criteria Correlation (CRITIC) weight method, to assign weights to different time-points during the classes. Third, the SVNHFS is utilized to construct a classroom behavior evaluation matrix, and the single-valued neutrosophic hesitant fuzzy weighted average (SVNHFWA) operator is applied for weighting. In addition, the cosine measure is employed to rank time-points based on both ideal and non-ideal solutions, obtaining the optimal and non-optimal learning effectiveness periods. Finally, a case study confirms the effectiveness and feasibility of the proposed model, offering a robust method for evaluating university education quality. [ABSTRACT FROM AUTHOR]

The list of standard abbreviations for JDS is available at adsa.org/jds-abbreviations-24. Nonstandard abbreviations are available in the Notes. The assessment of animal behavior serves as a valuable approach to identify illness and animal responses to environmental stimuli. Both heat stress and mastitis are reported to affect the behavioral responses of dairy cattle. However, little is known about the effects of heat stress on the lactating cow's behavioral responses to mastitis. The aims of the current study were to evaluate the effects of deprivation of evaporative cooling on behavioral responses of lactating dairy cows before and following mammary inflammation induced by intramammary LPS (IM-LPS) infusion and to characterize the effect of deprivation of evaporative cooling on feed sorting in lactating dairy cows during summer. Multiparous mid-lactating Holstein dairy cows (n = 18, parity = 2.4 ± 0.6, DIM = 136 ± 61 d) were randomly assigned to: evaporatively cooled (CL, n = 9) or not cooled (NC, n = 9) for 36 d (average temperature-humidity index = 78.4). The evaporative cooling system included misters and fans. Misters were installed on the front face of each fan, which was placed over both feed bunk and freestalls. On d 30, the left rear quarters of a subset of cows (n = 14, 7 per treatment) were infused with a bolus of LPS (10 µg of Escherichia coli O111:B4 LPS). Feeding and resting behaviors were recorded throughout the experiment using automated sensor devices (NEDAP). Sorting activity based on particle size separation using a Penn State Particle Separator was assessed at d 3, 16, and 26 of the experiment. Before IM-LPS, NC cows had lower ruminating and eating time, and consequently greater inactive time compared with CL cows. Relative to CL cows, NC cows had reduced lying time, and greater standing and walking time. The NC cows also had greater standing bouts, only at the beginning of the experiment, relative to CL cows. Additionally, NC cows sorted more for long particles (NC: 99.4% vs. CL: 94.4%) and sorted against medium and short particles on d 3 of the experiment compared with CL cows. However, following IM-LPS, no significant differences in behavioral responses were observed between NC and CL cows. In conclusion, deprivation of evaporative cooling negatively affected the behavioral responses of lactating dairy cows during summer. Further, heat-stressed cows without evaporative cooling sorted more for long particles of the diet potentially as a response to cope with the reduced rumen pH. However, deprivation of evaporative cooling does not have a significant effect on the lactating cow's behavioral responses to LPS induced mammary inflammation. [ABSTRACT FROM AUTHOR]

Granular matter is characterized by a collection of grains, where the collective behavior relies on interactions among all constituent particles, generally including both cohesive and dissipative interactions. Understanding and predicting granular behavior is pivotal for both basic science and technological applications, ranging from astrophysics to geology, cereal storage, and cosmetics development. The structure of these aggregates varies depending on the environment but often involves a highly porous configuration. In this study, we introduce our AGregate GENeration Tool (AGGENT) specifically designed for constructing granular aggregates with varying levels of porosity, shapes, and grain sizes. The software facilitates aggregate generation using JKR or DMT cohesive models with a finite grain overlap, enabling the achievement of highly homogeneous aggregates. The behavior of porosity of the generated samples near surfaces is also discussed. These generated samples can subsequently be utilized for performing various simulations, allowing for further analysis of granular behavior under different conditions of interest, including transport, mechanical and thermal properties, etc. [ABSTRACT FROM AUTHOR]

Objectives: This pilot test of the 4Ms-Behavioral Health (4Ms-BH) training program was designed to assess knowledge gains, clinical behavior change, and acceptability among mental health clinicians and compile lessons to guide widespread implementation of the framework. The ultimate future goal is to improve care for older adults by expanding the 4Ms framework for behavioral health providers. Method: Fifteen mental health clinicians from Community Mental Health Centers in three states completed eight hours of live session training over six months: one three-hour introduction followed by five monthly application sessions. Clinicians completed knowledge and clinical behavior measures before and after training, along with follow-up discussion regarding acceptability and sustainability. Results: Although knowledge gains were not significant in the overall 4Ms knowledge assessment, knowledge in the Medication and Mobility domains improved at 17% and 15%, respectively. Participants completing the program demonstrated an increased frequency of clinical behaviors pertinent to older adult care with large effect sizes in each of the 4Ms assessment and action activities from pre-training to post-training (Cohen's d range = 0.82 − 1.66, p ≤ 0.01). Conclusion: The 4Ms-BH framework was well-received by participants, who demonstrated some significant knowledge gains and clinical behavior change. These pilot data suggest that this framework has strong potential to effectively train mental health clinicians with little geriatric training. [ABSTRACT FROM AUTHOR]

In this paper, our main purpose is to study dynamical behavior analysis and traveling wave solution of stochastic Riemann wave equations in quantum mechanics. Firstly, the stochastic Riemann wave equations in quantum mechanics is simplified into nonlinear ordinary differential equation. Secondly, the third-order complete discriminant system is applied to the nonlinear ordinary differential equation, and some traveling wave solutions of stochastic Riemann wave equations are obtained. Finally, two-dimensional planar dynamical systems and its disturbance systems are considered by using Mathematical software. Some meaningful phase diagrams have been drawn by mathematical software to explain the dynamic behavior of two-dimensional dynamics and its perturbed systems. [ABSTRACT FROM AUTHOR]

Fuzzy clustering algorithms are widely applied in the field of traffic driving, aiding in the classification of driving behaviors from massive traffic data and enhancing traffic safety levels. However, classical Fuzzy C-Means (FCM) algorithms are sensitive to noise during the clustering process, leading to suboptimal performance when dealing with traffic datasets with lower accuracy. Moreover, single-kernel clustering algorithms are greatly influenced by kernel function selection. To address these issues, this paper proposes a Possibility Weighted Multi-Kernel Fuzzy Clustering Algorithm (PMWFCM). By integrating possibility-based fuzzy clustering with FCM and introducing a multi-kernel weighting mechanism, PMWFCM effectively reduces FCM's sensitivity to outliers while resolving issues of clustering consistency in Possibilistic C-Means (PCM) algorithms, overcoming the challenges associated with kernel function selection. Validation on three different types of datasets demonstrates that the PMWFCM algorithm performs exceptionally well in terms of average accuracy, normalized information, average time, robustness, and convergence. When applied to the evaluation of driving behaviors in traffic datasets. Therefore, the improved FCM algorithm proposed in this paper can accurately and comprehensively reflect changes in traffic data, providing a solid theoretical foundation for identifying and assessing major risk types among passenger drivers. [ABSTRACT FROM AUTHOR]

We propose a framework for the analysis of choice behaviour when the latter is made explicitly in chronological order. We relate this framework to the traditional choice theoretic setting from which the chronological aspect is absent, and compare it to other frameworks that extend this traditional setting. Then, we use this framework to analyse various models of preference discovery. We characterise, via simple revealed preference tests, several models that differ in terms of (1) the priors that the decision-maker holds about alternatives and (2) whether the decision-maker chooses period by period or uses her knowledge about future menus to inform her present choices. These results provide novel testable implications for the preference discovery process of myopic and forward-looking agents. [ABSTRACT FROM AUTHOR]

Automatically labeling trajectories of multiple agents is key to behavioral analyses but usually requires a large amount of manual annotations. This also applies to the domain of team sport analyses. In this paper, we specifically show how pretraining transformer models improves the classification performance on tracking data from professional soccer. For this purpose, we propose a novel self-supervised masked autoencoder for multiagent trajectories to effectively learn from only a few labeled sequences. Our approach builds upon a factorized transformer architecture for multiagent trajectory data and employs a masking scheme on the level of individual agent trajectories. As a result, our model allows for a reconstruction of masked trajectory segments while being permutation equivariant with respect to the agent trajectories. In addition to experiments on soccer, we demonstrate the usefulness of the proposed pretraining approach on multiagent pose data from entomology. In contrast to related work, our approach is conceptually much simpler, does not require handcrafted features and naturally allows for permutation invariance in downstream tasks. [ABSTRACT FROM AUTHOR]