1D thermoembolization model using CT imaging data for porcine liver by Rohan Amare, Danielle Stolley, Steve Parrish, Megan Jacobsen, Rick R. Layman, Chimamanda Santos, Beatrice Riviere, Natalie Fowlkes, David Fuentes, Erik Cressman

“…Use of the 1D model and experimental data provides an insight that using immiscible two-phase flow would better approximate the globular behavior seen.…”
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Identifying patients at risk of suicide using data from health information exchanges by Shane J. Sacco, Kun Chen, Jun Jin, Boyang Tang, Fei Wang, Robert H. Aseltine

“…Conclusions Real-world data from the diverse clinical settings captured in an HIE may provide unprecedented opportunities to predict suicidal behavior.…”
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Unsupervised Segmentation and Classification of Waveform-Distortion Data Using Non-Active Current by Andrea Mariscotti, Rafael S. Salles, Sarah K. Rönnberg

“…This unsupervised method exploiting non-active current is novel and has proven useful for providing data with labels for later supervised learning performed with the 1D-CNN, which achieved a balanced accuracy of 96.46% under normal conditions. …”
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Presenting a Leadership Empowerment Model through Sense-making by Using the Cognitive and Behavioral Scripts by Hamid Zare, Aliasghar Pourezzat, Hasan Zareei Matin, Arezoo Salmani

“…Conclusion The in-depth insights derived from the interviews and the subsequent coding processes demonstrated that effective sense-making, significantly augmented by the strategic use of behavioral scripts and cognitive scripts, profoundly improves the mental models within an organization, leading to enhanced leadership empowerment. …”
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Improving screening for disordered eating behaviors in pediatric weight management using quality improvement methodology by Roohi Y. Kharofa, Sanita L. Ley, Kristin M. Stackpole, Jessica A. Lin, Carolina M. Bejarano, Katelyn Gordon, Shelley Kirk, Melissa Burbrink, Robert M. Siegel

“…The primary outcome was the percent of patients with documentation of DEB screening. Data was plotted on a p-chart. Standard statistical process control methods were used. …”
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Road Safety Risk Assessment Approach for Freight Vehicles Using Warning Data by Cheng Yang, Xiaoling Zhai, Xiaoqin Zhou, Tao Wang, Shiyi Chen, Xiyuan Zhang

“…The method is validated using warning data and historical accident records from 47 road segments across three major roads in Nanning. …”
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Factors affecting use of fixed-route and demand-responsive services in a university community by Muhammad Arif Khan, Roya Etminani-Ghasrodashti, Apurva Pamidimukkala, Sharareh Kermanshachi, Jay Michael Rosenberger, Greg Hladik

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Data driven healthcare insurance system using machine learning and blockchain technologies by Irum Matloob, Shoab Khan, Bushra Bashir, Rukaiya Rukaiya, Javed Ali Khan, Hessa Alfraihi

“…The results are validated using real data from the employees of a local hospital. …”
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Using Andersen's behavioral model of health care utilization in a decentralized program to examine the use of antenatal care in rural western Ethiopia. by Habtamu Tolera, Tegegne Gebre-Egziabher, Helmut Kloos

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Topological signatures of brain dynamics: persistent homology reveals individuality and brain–behavior links by Yue Wang, Yue Wang, Junxing Xian, Yuanyuan Chen, Yuanyuan Chen, Yan Yan, Yan Yan

“…In classification tasks, these features outperformed commonly used temporal features in predicting gender. Canonical correlation analysis identified a significant brain-behavior mode that links topological brain patterns to cognitive measures and psychopathological risks. …”
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Impact of an adaptive environment based on learning analytics on pre-service science teacher behavior and self-regulation by Yousri Attia Mohamed Abouelenein, Shaimaa Abdul Salam Selim, Tahani Ibrahim Aldosemani

“…Abstract Learning analytics provides valuable data to inform the best decisions for each learner. …”
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Abusive Workplace Behavior: Behavioral and Legal Insights by Aharon Tziner, Hadara Bar-Mor, Lilach Geva, Haim Levi, Or Shkoler

“…As this is an exploratory study, no hypotheses are propounded. Analysis of the data indicated that the incidence of abusive workplace behavior in the respondents’ organizations was not high. …”
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Lightweight hybrid transformers-based dyslexia detection using cross-modality data by Abdul Rahaman Wahab Sait, Yazeed Alkhurayyif

“…Traditional dyslexia detection (DD) relies on lengthy, subjective, restricted behavioral evaluations and interviews. Due to the limitations, deep learning (DL) models have been explored to improve DD by analyzing complex neurological, behavioral, and visual data. …”
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Efficient Human Activity Recognition Using Machine Learning and Wearable Sensor Data by Ziwei Zhong, Bin Liu

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Factors influencing sexual behaviors among youths in Myanmar: the results from the Myanmar demographic and health survey 2015–16 by Yoon Shwe Yee Hlaing, Pallop Siewchaisakul, Sineenart Chautrakarn

“…This study aimed to investigate the factors associated with sexual behaviors among youths in Myanmar.MethodsThis study used data from the Myanmar Demographic Health Survey 2015–16 to analyze a sample of 4,645 youths aged 15–24. …”
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Efficacy of a pheromone-impregnated collar in controlling feline problem behaviors, and an assessment of adverse events associated with collar use by Sarah Endersby, Charlotte Billy, Xavier De Jaeger

“…The aim of this study is to assess a pheromone complex-impregnated collar in the control of feline problem behaviors, and to assess the ease of use and tolerance of the collar compared with a regular collar. …”
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Behavioral Drivers Influencing Women’s Decision to Use Self-Injectable Contraception Provided by Community Health Surveillance Assistants in Rural Malawi by Martha Kamanga, Dilys Walker, Address Malata, Mandaachepa Nyando, Jessie Salamba, Alaizi Nkhoma, Innocencia Mtalimanja, Tamanda Jumbe, Emas Potolani, Alfred Maluwa, Chifundo Zimba, Josophine Changole, Rabecca Bika, Emily Himes, Lauren Suchman, Janelli Vallin, Beth Phillips, Jenny Liu, Kelsey Holt

“…This study explores the behavioral drivers influencing women’s decision to use self-injectable contraception provided by community health surveillance assistants (CHSA) in rural Malawi. …”
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A Novel Depression Risk Prediction Model Using NHANES Data With Mendelian Randomization Validation by Lin Lin, Liqun Zhang, Jingdong Zhang, Dapeng Ding

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Reallocating 24-hour movement behaviors and its impact on mental health in preschool children: a compositional data and dose-response analysis by Tian Wang, Junyu Wang, Xuelin Lu, Xuhui Chen, Lanzhi Chen, Yixin Liang, DongQing Yang, Yanmei Shi, Rui Li, Yong Yang, Beibei Luo, Jie Zhuang

“…Compositional data analysis was conducted using isometric log-ratio (ilr) transformation, followed by multivariate linear regression to assess associations. …”
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Study on the prediction model of non-suicidal self-injury behavior risk during hospitalization for adolescent inpatients with depression based on medical data by Yanyan Zhang, Huirong Guo, Yali Wang, Junru Wang, Yuming Ren

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