Predicting poor self-management behaviors in adults with newly diagnosed COPD: based on the information-motivation-behavioral skills model by Xiaomei Chen, Jia Liu, Yuxuan He, Li Wei, Menghui Deng, Rui Zhang, Huiqin Song, Yanni Yang

“…Therefore, this study aims to develop and verify a risk prediction model based on the information-motivation-behavioral skills (IMB) model to predict poor self-management behaviors in newly diagnosed COPD patients. …”
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Evidence for universal earthquake rupture initiation behavior by Men‐Andrin Meier, Thomas Heaton, John Clinton

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Predictive modeling of adolescent suicidal behavior using machine learning: Key features and algorithmic insights by Priya Metri, Swetta Kukreja

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Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach by Kavitha Dhanushkodi, Akila Bala, Nithin Kodipyaka, V. Shreyas

Subjects: “…Customer behavior analysis…”
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Online Purchase Behavior Prediction Model Based on Recurrent Neural Network and Naive Bayes by Chaohui Zhang, Jiyuan Liu, Shichen Zhang

Subjects: “…online purchase behavior…”
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Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns by Danial Hooshyar, Yeongwook Yang

“…This study aims to model students’ online learning behavior and accordingly predict their course achievement. …”
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PREDICTION STAGES OF THE DIFFICULT INERTIA SYSTEM BEHAVIOR WITH THE USE OF THE DEVELOPED SYSTEM MODEL by Vasyl V. Bychenkov

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RESEARCH ON FATIGUE CRACK PROPAGATION BEHAVIOR AND LIFE PREDICTION OF WIND TURBINE GEAR by YANG WenMeng, JIANG Wei, WANG Jie

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Total levels of hippocampal histone acetylation predict normal variability in mouse behavior. by Addie May I Nesbitt, Richard D McCurdy, Sharell M Bryant, Mark D Alter

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Exploiting interests and behavior prediction for dynamic resource discovery in mobile social networking by Zhi-yuan LI, Ru-long CHEN, Ru-chuan WANG

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The impact of CNN MHAM-enhanced WRF and BPNN models for user behavior prediction by Kaixin Zheng, Zhensen Liang

Subjects: “…User behavior prediction…”
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An optimized machine learning framework for predicting and interpreting corporate ESG greenwashing behavior. by Fanlong Zeng, Jintao Wang, Chaoyan Zeng

“…The accurate prediction and interpretation of corporate Environmental, Social, and Governance (ESG) greenwashing behavior is crucial for enhancing information transparency and improving regulatory effectiveness. …”
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The application of the motivation-opportunity-ability model in predicting green entrepreneurial behavior of farmers by Zobeyde Kouchaky, Fatemeh Razzaghi Borkhani, Taher Azizi-Khalkheili, Fatemeh Ghorbani Piralidehi

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Prediction on the Seasonal Behavior of Hydrogen Sulfide Using a Neural Network Model by Byungwhan Kim, Joogong Lee, Jungyoung Jang, Dongil Han, Ki-Hyun Kim

“…An increase in radiation was likely to decrease during spring and summer, but the opposite trend was predicted for the autumn. The overall results of this study thus suggest that the behavior of H2S can be accounted for by a diverse combination of meteorological parameters across seasons.…”
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A machine learning-based method for predicting the shear behaviors of rock joints by Liu He, Yu Tan, Timothy Copeland, Jiannan Chen, Qiang Tang

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Near viewing behaviors predict educational system in a machine learning model by Ravid Doron, Einat Shneor, Lisa A. Ostrin, Ariela Gordon-Shaag, Ayelet Goldstein

“…The ability to use machine learning to predict educational systems based solely on near-viewing behaviors underscores its potential as a tool for investigating educational and behavioral factors and refractive outcomes.…”
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Predicting binge drinking among university students: Application of integrated behavioral model. by Hordofa Gutema, Yamrot Debela, Bizuayehu Walle, Kidist Reba, Tebkew Shibabaw, Tolera Disasa

“…Linear and Logistic regression models were used to predict the role of explanatory variables on behavioral intention and binge drinking, respectively. …”
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An intelligent model for predicting the behavior of soil conditions depending on external weather conditions by Antamoshkin Oleslav, Mikhalev Anton, Menshenin Andrey, Lukishin Alexander

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Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom

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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

“…Predicting the outcomes of suicidal behaviors can help identify individuals at higher risk of death, enabling timely and targeted interventions. …”
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