A hybrid machine learning algorithm approach to predictive maintenance tasks: A comparison with machine learning algorithms by Jorge Paredes, Danilo Chávez, Ramiro Isa-Jara, Diego Vargas

“…This data can provide valuable insights into the behavior of a specific machine, enabling optimization or the prediction of potential malfunctions. …”
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Construction and validation of a risk prediction model for postoperative frailty in older adults:a multicenter study by Shilong Lu, Hao Liang, Jiamin Fang, Rui Chen, Huilian Liao, Mingming Xu, Yumei Chen, Huijin Sun, Lijuan Dong, Yingui Guo, Zhixia Jiang, Hui Xiao, Lin Wei

“…Our study aims to develop and evaluate a predictive model for postoperative frailty on the 30th day in elderly patients. …”
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Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach by Marlene Tahedl, Ulrich Bogdahn, Bernadette Wimmer, Dennis M. Hedderich, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler

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Contextual Modulation of Primary Visual Cortex by Temporal Predictability During Motion Extrapolation by Camila Silveira Agostino, Herman Hinrichs, Toemme Noesselt

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Emotional Intelligence and Workplace Spirituality in Predicting Career Success of High-Tech Leaders by Shwu-Ming Wu

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Kindness and happiness at work by Oliver Scott Curry, Chloe San Miguel, Mehmet Necip Tunç

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Identification of Ship Maneuvering Behavior Using Singular Value Decomposition-Based Hydrodynamic Variations by Cem Guzelbulut

“…Recent efforts on the decarbonization, autonomy, and safety of the maritime vehicles required comprehensive analyses and prediction of the behavior of the existing vessels and prospective adaptations. …”
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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…This study proposes a Driving style-Tri Channel Trajectory Model (DS-TCTM) to enhance vehicle trajectory prediction accuracy and driving safety. The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction employing a multi-level neural architecture with dedicated sub-networks for distinct driving styles. …”
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Optimism bias, judgment of severity, and behavioral change during two stages of the pandemics in China by Dannuo Lyu, Fanli Jia, Xiaosong Gai

“…Notably, optimism bias can attenuate the positive prediction of anxiety by perceived severity, while also positively predicting protective behavior by mediating the relationship between perceived severity and protective actions. …”
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Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites by Barun Haldar, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, Murugesan P. Papathi

“…The performance evaluation showed that ML models effectively predicted friction behavior and wear behavior of magnesium-based hybrid composites using tribological test data. …”
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Behavior during Twin Tunnel Construction Based on Measurement Results and Validity of Numerical Analysis by Hitoshi TEZUKA, Koichi AOKI, Qiwei LIN, Yujing JIANG

“…This study aims to analyze measurement data from an actual parallel tunnel construction project and examine the behavior of both the existing and new tunnels through numerical back-analyses based on these measurements, assessing the validity of these numerical predictions. …”
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Behaviors of Shelter Dogs During Harnessing and Leash Walks: Prevalence, Demographics, and Length of Stay by Betty McGuire, Bailey Guy, Miles Garland, Alexandra Jackson

“…We also examined whether dog demographic characteristics predicted behaviors and whether behaviors predicted length of stay. …”
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L2 motivational self system, foreign language enjoyment as predictors of motivated behavior by Libo Wu

“…Additionally, we also found that the Ideal L2 self can predict the motivated behavior mediated by EEL2LE and BEL2LE, and that EEL2LE can predict motivated behavior through FLE. …”
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Integrating multi-omics with neuroimaging and behavior: A preliminary model of dysfunction in football athletes by Sumra Bari, Nicole L. Vike, Khrystyna Stetsiv, Alexa Walter, Sharlene Newman, Keisuke Kawata, Jeffrey J. Bazarian, Linda Papa, Eric A. Nauman, Thomas M. Talavage, Semyon Slobounov, Hans C. Breiter

“…Further, (2) Δtridecenedioate and DMN fingerprint similarity interacted to predict motor control, indicating the interaction of a molecular and a neuroimaging measure predicted behavior. …”
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Understanding the creep behaviors and mechanisms of Mg-Gd-Zn alloys via machine learning by Shuxia Ouyang, Xiaobing Hu, Qingfeng Wu, Jeong Ah Lee, Jae Heung Lee, Chenjin Zhang, Chunhui Wang, Hyoung Seop Kim, Guangyu Yang, Wanqi Jie

“…However, the multiple alloying elements and various heat treatment conditions, combined with complex microstructural evolution during creep tests, bring great challenges in understanding and predicting creep behaviors. In this study, we proposed to predict the creep properties and reveal the creep mechanisms of Mg-Gd-Zn based alloys by machine learning. …”
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Theoretical and Experimental Study considering the Influence of T-Stress on the Fracture Behavior of Compression-Shear Crack by Mingyu Feng, Xiaoguang Zhou, Yanbin Zhang, Peng Zhou

“…The influence of the nonsingular stress term (T-stress), existing in the Williams expansion of the crack tip stress field, on the fracture behavior of the compressive-shear crack is comprehensively considered in this paper. …”
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An Intelligent Market Model that Incorporates Individual Trader’s Behavior to Simulate Forex Trading Data by Patrick Naivasha, George Musumba, Patrick Gikunda, John Wandeto

“…This constitutes a challenging interaction environment that generates complex time series data that may be difficult to predict. Technical analysts’ use of only historic Forex data, disregarding individuals’ trading experience, could be limiting in market prediction. …”
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Bond Behavior between Steel Rebar and RCA Concrete after Exposure to Elevated Temperatures by Wanjie Zou, Jiongfeng Liang, Dawei Liu, Guangwu Zhang

“…To explore the bond behavior between steel rebar and recycled coarse aggregate (RCA) concrete after exposure to elevated temperatures, an experimental study was carried out. …”
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Mechanical Behavior of Filled Rubber Compounds: Hyper-Elastic Models Based on Strain Amplification by Mir Hamid Reza Ghoreishy, Foroud Abbassi-Sourki

“…The previous theories for the prediction of the mechanical behavior of these materials arebased on phenomenological relationships. …”
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Destination Image and Brand Value as Predictors of Tourist Behavior: Happiness as a Mediating Link by Deyber Jimenez-García, Ovet Espinoza Heredia, Eduar Cruz Lizana, Jose Joel Cruz-Tarrillo, Dany Yudet Millones-Liza

“…In order to have a better understanding of tourist behavior, this study aims to examine the image of the destination and the value of the brand as predictors of the behavior of tourists, assuming happiness as a mediating link. …”
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