Perceived norms, personal agency, and postpartum family planning intentions among first-time mothers age 15-24 years in Kinshasa: A cross-sectional analysis. by Anastasia J Gage, Francine E Wood, Pierre Z Akilimali

“…This study assessed whether perceived norms and personal agency predicted PPFP intentions among first-time mothers age 15-24 in Kinshasa, the Democratic Republic of Congo. Data were derived from the 2018 Momentum Project baseline survey. …”
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Adaptation of the International Outcome Inventory for Hearing Aids (IOI-HA) in Hindi by Dhananjay Rachana, K. Rajalakshmi

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Naturalistic acute pain states decoded from neural and facial dynamics by Yuhao Huang, Jay Gopal, Bina Kakusa, Alice H. Li, Weichen Huang, Jeffrey B. Wang, Amit Persad, Ashwin Ramayya, Josef Parvizi, Vivek P. Buch, Corey J. Keller

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Is self-medication a barrier to seeking help: exploring psychiatrists’ and psychiatry residents’ knowledge and attitudes about self-medication in Türkiye by Gonca Aşut, Aybeniz Civan Kahve, Buket Koparal, Abdullah Yıldız

“…Data were analyzed using descriptive statistics with SPSS 25.0. …”
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Assessing the association between diet quality and sociodemographic factors in young Saudi adults by Abeer Salman Alzaben, Kholoud Rashed Alresheedi, Huny M. Bakry, Rahaf Abdullah Ozayb, Halah Abdulaziz Aldawsari, Arwa Obaid Alnamshan, Nahla M. Bawazeer

“…The participants provided consent and demographic information, and DQ was assessed using a validated sHEI questionnaire. The questionnaire was translated to Arabic and adapted for local relevance Data analyses were performed. …”
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Social Media Addiction and its Impact on Attitude towards Health-related Information during the Coronavirus Disease 2019 Pandemic – A Cross-sectional Survey by C. Govindaswamy, A. V. Suhas Bhargav, M. S. Narendra Kumar

“…Objectives: In the face of pandemic challenges, the study examines sociodemographic variables influencing social media engagement and assesses their association with attitudes and behaviors toward COVID-19. The primary focus is on comprehending addictive patterns of social media use and their correlation with demographic factors. …”
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Designing and psychometrics of the academic advisor’s performance evaluation questionnaire by Fatemeh Abbaszadeh, Forough Faroughi, Neda Jamali, Mahboobeh Kafaei Atrian, Saeideh Nasiri

“…Exploratory factor analysis was performed to assess construct validity. Data analysis was done with Statistical Package for the Social Sciences (SPSS) software version 22. …”
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Rationalization, facilitators, and impediments of fertility transition in Ethiopia: qualitative exploration of the community readiness, willingness, and ability by Tesfay Brhane Gebremariam, Mitike Molla, Wubegzier Mekonnen

“…Design: This exploratory phenomenological qualitative study collects data from purposefully selected community members and experts in Addis Ababa, Arbaminch, and Jigjiga. …”
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Medical Students’ Perception on the Ideal Lecturer Attributes in Problem-Based Learning on the Onion Model Theory by M. Ramses Erlangga, Vivi Meidianawaty, Tissa Octavira Permatasari

“…This study uses primary data with univariate analysis. Results: From the 98 analyzed samples, it was found that level 1 students gave the highest average score on the identity aspect, with the following average scores: Level 1 (14.4167), Level 2 (13.1111), Level 3 (12, 6667), and Level 4 (12.7826). …”
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The Shield of Resilience: Mediating the Effects of Internet Addiction on Adolescent Anger Control by İnci Bakan Kıraç, Aida Sahmurova, Mirko Duradoni, Andrea Guazzini, Mustafa Can Gursesli

“…The increasing prevalence of Internet use has brought new challenges, as excessive and uncontrolled engagement with digital platforms, often referred to as Internet addiction, can disrupt emotional regulation and increase behavioral difficulties. …”
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Optimizing Farmers’ and Intermediaries’ Practices as Determinants of Food Waste Reduction Across the Supply Chain by Abdelrahman Ali, Yanwen Tan, Shilong Yang, Chunping Xia, Wenjun Long

“…This study aims to investigate the consequences of pre- and post-harvest practices on extending the shelf life of agro-food products, identifying which practices yield the highest marginal returns for quality. Using Fractional Regression Models (FRM) and Ordinary Least Squares (OLS), the research analyzed data from 343 Egyptian grape farmers and intermediaries. …”
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Effectiveness and tolerability of rimegepant in the acute treatment of migraine: a real-world, prospective, multicentric study (GAINER study) by Luigi Francesco Iannone, Gloria Vaghi, Gabriele Sebastianelli, Francesco Casillo, Antonio Russo, Marcello Silvestro, Francesca Pistoia, Giorgio Dalla Volta, Matteo Cortinovis, Alberto Chiarugi, Danilo Antonio Montisano, Maria Pia Prudenzano, Sabina Cevoli, Edoardo Mampreso, Gianluca Avino, Marina Romozzi, Mariarosaria Valente, Carla Fasano, Stefania Battistini, Antonio Granato, Elisa Maria Piella, Innocenzo Rainero, Raffaele Ornello, Roberto De Icco, On behalf of the Italian Headache Registry (RICe) Study Group

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Risk aversion or adaptation? Public choices in sports participation under climate risks by Qiuyue Zhang, Long Luo, Xiaobin Guan, Yu Cao, Yili Lin, Yuchen Xiong

“…This study examines the short-term and long-term effects of climate risks on sports participation among middle-aged and young adults, exploring the underlying mechanisms driving these behavioral changes.MethodsUsing data from the 2014 to 2022 China Family Panel Studies (CFPS), this study employs fixed-effects models, two-stage least squares (2SLS) estimation, and a four-stage mediation model to address potential endogeneity and uncover causal relationships. …”
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Suicide risk remission in collaborative care: a large-scale observational study by Carol Hardy, Virna Little, Brandn Green

“…This study examined how clinical variables (days enrolled, clinical touchpoints, psychiatric consultations) relate to suicide risk outcomes in CoCM, and how these relationships are moderated by initial depression severity.MethodsData from 3,599 patients with suicide risk flags who completed CoCM treatment were analyzed using ordinal logistic regression. …”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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The Combined Role of Self-Esteem and Life Satisfaction in Enhancing Student Engagement by Jane Savitri, Heliany Kiswantomo, Grace Naulee Tambun

“…Addressing this gap, the present study examines the joint and individual contributions of self-esteem and life satisfaction to student engagement among 397 active university students in Bandung City. Using a quantitative correlational design, data were collected through the University Student Engagement Inventory (USEI), the Rosenberg Self-Esteem Scale (RSES), and the Satisfaction with Life Scale (SWLS). …”
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The Impact of Pre-Retirement Occupational Characteristics on Social Participation in Later Life: A Life Course Perspective by Juanjuan Sun, Kexin Sun

“…From a life course perspective, this study uses data from the 2023 China Longitudinal Aging Social Survey to analyze the impact of occupational characteristics of the pre-retirement of Chinese older adults on their social participation in later life through linear probability models and Logit regression analysis. …”
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Information Sharing with Uncertain Consumer Preferences for Store Brands by Yu Ning, Yang Tong, Jicai Li

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Physician skin cancer screening among U.S. military veterans: Results from the National Health Interview Survey. by Elliot J Coups, Baichen Xu, Carolyn J Heckman, Sharon L Manne, Jerod L Stapleton

“…The study objective was to examine the prevalence and correlates of physician skin cancer screening among U.S. military veterans.<h4>Methods</h4>Data were drawn from the National Health Interview Survey. …”
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A large-scale study of academic specialization and sex effects on Corsi block performance by Sergey Malykh, Anna Pavlova, Artem Malykh, Timofey Adamovich, Tatiana Tikhomirova

“…The sample comprised 5,455 first-year Russian university students (mean age = 18.5; 62% female). Data were analyzed using rank-based analysis of variance (ANOVA) and hierarchical linear regression models. …”
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