Bayesian network analysis of individual-level factors associated with bullying among high school students by Yanmei Feng, Xinyu Luo, Xinrui Li, Yilin Liu, Yong Zeng

“…Within the directed network analysis, depression severity emerged as a key predictor of relational bullying victimization, while both relational and verbal bullying predicted subsequent physical bullying. In the regularized partial correlation network, core self-evaluation exerted the strongest influence, acting as an indirect mediator in predicting relational and physical bullying victimization by modulating individual depression levels in the directed network. …”
Get full text

Monitoring American woodcock abundance in Tennessee using automated recording units by Evan J. Buck, David A. Buehler

“…Abstract Although American woodcock (Scolopax minor) have been declining for the past 50 years, their breeding activity is not regularly monitored across much of the southeastern United States. Due to predictable crepuscular display behaviors, woodcock are a good candidate for monitoring with automated recording units (ARUs). …”
Get full text

Integrating Actual Decision-Making Requirements for Intelligent Collision Avoidance Strategy in Multi-Ship Encounter Situations by Yun Li, Yu Peng, Jian Zheng

“…Driven by the commercialization of intelligent ships, the increasingly complex mixed maritime traffic environment presents significant challenges for collision avoidance between multiple ships due to cognitive and behavioral differences between intelligent and traditional ships. …”
Get full text

Long-Distance Travel Impacts of COVID-19 Across the United States by Yantao Huang, Natalia Zuniga-Garcia, Kara Kockelman

“…Using over a thousand Americans' population-weighted responses to a long-distance travel survey, this paper examines reductions in trips over 75-miles (one-way) in 2020, during the pandemic, versus behaviors in 2019. Negative binomial models of trip counts suggest that people age 25 to 64 took 0.20 fewer annual long-distance business trips during the pandemic, but people age 65 and older took 0.45 fewer business and 0.57 fewer non-business long-distance trips, on average. …”
Get full text

The changes of neurologic functions of rats in the modeling of hemorrhagic stroke by V. N. Bibikova

“…In order to compare behavioral and emotional reactions and physical efficacy while modeling hemorrhagic stroke in 70 male rats of two age groups the degree of neurologic deficit was studied by “Opened field”. …”
Get full text

AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students' AI self-efficacy by Arne Bewersdorff, Marie Hornberger, Claudia Nerdel, Daniel S. Schiff

“…This study investigates how cognitive, affective, and behavioral variables related to artificial intelligence (AI) build AI self-efficacy among university students. …”
Get full text

Influence of Bake Hardening on Plastic Strain Dependency of Elastic Modulus by Kusaka Shota, Iwama Takashi, Sato Kentaro, Ohnishi Yoichiro, Shiozaki Tsuyoshi, Yoshida Fusahito

“…This BH-induced elastic modulus recovery is described by the modified Yoshida-Uemori (Y-U) elastic model (BH Y-U model). The BH bending behaviors directly correspond to the tensioncompression BH characteristics.…”
Get full text

In-Context Vision-Pattern-Language Model for Enhancing Vessel Activity Explanation by Changha Lee, Chan-Hyun Youn

“…Current vessel monitoring systems struggle to accurately interpret vessel behaviors at a detailed level due to limitations in utilizing multi-modal data and regulatory frameworks. …”
Get full text

Ontological-Societal Security Node as a Phenomenon of the Digital Environment by Oxana I. Elkhova

“…The ontological aspect includes identity, trust, and existential stability; the societal aspect encompasses collective identity, social ties, and institutional norms; the temporal aspect reveals historical continuity, transformation dynamics, and the degree of future predictability. The proposed model serves as an effective tool for studying digital risks, including identity fragmentation, social disintegration, and the influence of algorithmic systems on behavioral norms. …”
Get full text

A Deep Learning Model for Psychological Support in Student Entrepreneurship by Tao Yang, Wendong Xu, Lingbo Wang, Morozova Olga Petrovna

“…In order to verify the validity of the model, this paper uses three datasets: The national health and nutrition inspection survey in the United States, the national health and nutrition inspection survey in South Korea, and the behavioral risk factor monitoring system for testing and comparative experiments. …”
Get full text

Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada by Ahmad Mohsenimanesh, Evgueniy Entchev

“…The charging strategies are based on predicted load utilizing a hybrid machine learning (ML) approach to reduce overall charging in peak periods. …”
Get full text

Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods by Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed

“…With their extensive methodologies that would help in the early CVD prediction and recognition of behavioral patterns in large amounts of data, artificial intelligence, and data mining disciplines offer a broad study potential. …”
Get full text

Autonomy and factors affecting dental health care seeking behaviour in women: An application of theory of planned behaviour by B.K. Aparna, R. Yashoda, Manjunath P. Puranik

“…Conclusion: The hypothesized model was successful in predicting intention and dental visiting behaviour in women. …”
Get full text

High-flow nasal cannula therapy versus continuous positive airway pressure for non-invasive respiratory support in paediatric critical care: the FIRST-ABC RCTs by Padmanabhan Ramnarayan, Alvin Richards-Belle, Karen Thomas, Laura Drikite, Zia Sadique, Silvia Moler Zapata, Robert Darnell, Carly Au, Peter J Davis, Izabella Orzechowska, Julie Lester, Kevin Morris, Millie Parke, Mark Peters, Sam Peters, Michelle Saull, Lyvonne Tume, Richard G Feltbower, Richard Grieve, Paul R Mouncey, David Harrison, Kathryn Rowan

“…Recommendations for research Recommendation 1 Secondary analyses exploring patient characteristics and patterns of physiological parameters that predict treatment failure, including intubation. Recommendation 2 Compare protocolised approaches to initiation of post-extubation respiratory support with standard care in future clinical trials. …”
Get full text

Orientation-dependence of incipient plasticity in a coarse-grained Mg revealed by nanoindentation pop-ins by Moein Imani Foumani, Syed Taha Khursheed, Yushun Liu, Guo-zhen Zhu

“…The nanoindentation pop-in behaviors of 13 grains with diverse crystallographic orientations were analysed using a coarse-grained Mg-2 wt.% Gd alloy. …”
Get full text

Regge trajectories for the triply heavy bottom-charm baryons in the diquark picture by Jia-Qi Xie, He Song, Jiao-Kai Chen

“…Moreover, the behaviors of the $$\lambda $$ λ - and $$\rho $$ ρ -trajectories for various baryons are discussed. …”
Get full text

Humidity Impact on Thermal Conductivity Sensors by Sophie Emperhoff, Matthias Eberl, Tim Dwertmann, Jürgen Wöllenstein

“…The selected equations predict contradicting behaviors of humid air at different temperatures and saturation levels. …”
Get full text

Research on legal supervision paths of digitally enabled food safety by LIN Keliang, LIANG Yecheng, SU Shibin

“…Under the dual influence of the absence of consensus on the concept of "digital supervision" and the behavioral cognitive deviation of "technology application", there are still practical difficulties such as lack of rules, model alienation, and weak team in food safety supervision, which hinder the two-way empowerment and coupling development of supervision digitization and rule of law. …”
Get full text

Re-aeration in skimming flow over stepped chutes: two-dimensional CFD modeling and empirical equations by Thiago Reis Pereira Minho, André Luiz Andrade Simões, Luciano Matos Queiroz, Gemima Santos Arcanjo, Harry Edmar Schulz, Rodrigo de Melo Porto, Julio Cesar de Souza Inácio Gonçalves

“…An empirical formulation is also proposed for predicting the reaeration efficiency in skimming flows with slopes of 45°, 21.8° and 11.3°. …”
Get full text

Interaction between Unruh-Dewitt detectors exclusively due to acceleration: A parallel to the FDU effect by Wenting Zhou, Shijing Cheng, Hongwei Yu

“…We have discovered an interaction between two detectors in a vacuum that emerges exclusively due to acceleration, akin to the spontaneous excitation of a single detector as predicted by the Fulling-Davies-Unruh (FDU) effect. …”
Get full text