Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment by Jakob Blaß, Benjamin Iffland, Philipp Herzog, Tim Kaiser, Thomas Elbert, Carolin Steuwe

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Experimental investigation on modelling and prediction of optimal process parameters for the wear behaviour of hybrid polymer matrix composite by K. Karthik, K. Elavarasan, Beemkumar Nagappan, Subhaprada Dash, Krishna Kumar Shukla, Arpit Arora, Venkata Ramesh Reddy V, Kamakshi Priya Kumar

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Predicting the Attraction and Retention of Customers in Sports Pools in Isfahan City Using a Decision Tree: Presenting a Data Mining-Based Model by Seyed Masoud Mirsaeidi, Davood Nasr Esfahani

“…Therefore, it is recommended that managers make decisions based on these identified characteristics to retain customers and estimate customer behavior using such methods.…”
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A Data-Driven Approach to Analyzing Fuel-Switching Behavior and Predictive Modeling of Liquefied Natural Gas and Low Sulfur Fuel Oil Consumption in Dual-Fuel Vessels by Hyunju Kim, Sangbong Lee, Jihwan Lee, Donghyun Kim

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An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence by Ramazan Esmeli, Aytac Gokce

“…Although purchase prediction models are well researched, session-level changes, including price variations, product category shifts, and geographical context, are less examined concerning their impact on machine learning models for predicting purchase behavior after cart additions. …”
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Linking leaders’ toxic leadership behaviors to employee attitudes and behaviors by Ozan Buyukyilmaz, Cihan Kara

“…The results of the study indicate that lack of appreciation, self-interest, and selfishness have significant predictive effects on different employee attitudes and behaviors, whereas negative spiritual state does not significantly affect employee attitudes and behaviors. …”
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A publicly available benchmark for assessing large language models’ ability to predict how humans balance self-interest and the interest of others by Valerio Capraro, Roberto Di Paolo, Veronica Pizziol

“…In particular, only GPT-4 and GPT-4o (not Bard nor Bing) correctly capture qualitative behavioral patterns, identifying three major classes of behavior: self-interested, inequity-averse, and fully altruistic. …”
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Predicting socio-cultural and individual constraints to regular physical activity during the outbreak of covid-19 by Leily Pashapoor, Rosa Rahavi Ezabadi, Pari Khalil Marandi

“…Background: The present research was conducted regarding the prediction of socio-cultural and individual restrictions on the amount of regular physical activity in female people during the outbreak of covid-19.Aims: The present study was conducted with the aim of predicting socio-cultural and individual constraints to regular physical activity in youth during the outbreak of covid-19.Materials and Methods: This research is descriptive correlational research. 371 females with an average age of 24.27±0.17 years, participated via a random method. …”
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Effect of BFRP textile geometric characteristics on the flexural performance of textile reinforced concrete thin plate: An experimental and theoretical study by Xiaofei Zhang, Xin Wang, Lining Ding, Yongwang Zhang, Xunmei Liang, Zhishen Wu

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The “Visual-Behavior” Chain and Risk Prediction Model for Sedan Drivers Under the Influence of Container Trucks: A Case Study of Yangshan Port Freight Corridor by Yi Li, Zhitian Wang, Fengchun Yang, Minghui Li

“…Their larger size and significant inertia would increase psychological pressure on sedan drivers, and elevate their behavior risk. To investigate the effects of container trucks on drivers’ visual characteristics and driving behavior as well as to predict driving risk, firstly, this research conducted field tests in four scenarios surrounding the port. …”
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Economic stress indirectly predicts out-group prosocial behaviors during the Covid-19 pandemic differentially for young adults depending on ethnic group membership by Gustavo Carlo, Alexandra N. Davis, Marixza Torres, Heidi Sanders, Lynda J. Cruz

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High-Cycle Fatigue Fracture Behavior and Stress Prediction of Ni-Based Single-Crystal Superalloy with Film Cooling Hole Drilled Using Femtosecond Laser by Zhen Li, Yuanming Xu, Xinling Liu, Changkui Liu, Chunhu Tao

“…The analysis of crack initiation and propagation related to the pore structure facilitated the development of a crack shape factor reflecting these distinct fracture behaviors. Predictions about the high-cycle fatigue stress experienced by the specimen were made, accompanied by an error analysis, providing critical insights for precise stress calculations and structural optimization in engine blade design. …”
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Temperature-dependent mechanical behavior in a novel hierarchical B2-strengthened high entropy alloy: Microscopic deformation mechanism and yield strength prediction by Tuanwei Zhang, Renlong Xiong, Hui Chang, Jinxiong Hou, Dan Zhao, Zhong Wang, Zhouzhu Mao, Tianxiang Bai, Zhiming Jiao, Jianjun Wang, Zhihua Wang

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Investigating the relationships among oral health-related knowledge, attitude, practice, and self-efficacy in predicting oral health behaviors among female Iranian students by Akram Mehtari Taheri, Alireza Hidarnia, Fatemeh Zarei, Mahmoud Tavousi

“…Spearman's correlation coefficient revealed a strong relationship between self-efficacy and oral health behaviors (r = 0.657). Regression analysis revealed that self-efficacy was the most significant predictor of oral health behaviors (β = 0.349).ConclusionThe findings indicate that self-efficacy plays a key role in predicting oral health behaviors among adolescent students. …”
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Rheological behavior of MWCNT-SnO2/SAE50 hybrid nanolubricant: Experimental evaluation and viscosity prediction using optimized machine learning model by Mojtaba Sepehrnia, Hamid Maleki, Alireza Hamidi, Ali Davoodi, Hamidreza Golmohammadi

“…In the first part of the research, three essential parameters, including shear rate (SR = 1333.0–2932.6 s−1), temperature (T = 25–67 °C), and volume fraction (VF = 0–1.50 %), were considered to evaluate the rheological behavior of the hybrid nanolubricant. In the second part of this paper, highly accurate models for predicting the viscosity of the nanolubricant were developed by proposing a whole search-based strategy for the structural/training optimization of the multilayer perceptron neural network (MLPNN). …”
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“The role of ai-driven social media marketing in shaping consumer purchasing behaviour: An empirical analysis of personalization, predictive analytics, and engagement” by Patil Ruturaj, K Shivashankar, Porapur Shantavva M., Kagawade Shivanand

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Perceived risk and demographic factors on consumers’ choice in times of crisis by Ming-Yi Wu

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Dual Control Strategy for Non-Minimum Phase Behavior Mitigation in DC-DC Boost Converters Using Finite Control Set Model Predictive Control and Proportional–Integral Controllers by Alejandra Marmol, Elyas Zamiri, Marziye Purraji, Duberney Murillo, Jairo Tuñón Díaz, Aitor Vazquez, Angel de Castro

“…The PI controller addresses small deviations in output voltage, primarily due to model prediction inaccuracies, ensuring steady-state accuracy, while the FCS-MPC handles fast dynamic responses to adapt the controller’s behavior based on load conditions. …”
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Cyberbullying victimization predicts substance use and mental health problems in adolescents: data from a large-scale epidemiological investigation by Cláudio Romualdo, Wanderlei Abadio de Oliveira, Luciana Bertoldi Nucci, José Eugenio Rodríguez Fernández, Laura Soares da Silva, Evelin Moreira Freires, Amanda Severo Lins Vitta, Fernando Ferreira Semolini, Lucas da Rosa Ferro, Denise de Micheli, André Luiz Monezi Andrade

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Predicting online shopping addiction: a decision tree model analysis by Xueli Wan, Jie Zeng, Ling Zhang

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