Use of Extended Characteristics of Locomotion and Feeding Behavior for Automated Identification of Lame Dairy Cows. by Gian Beer, Maher Alsaaod, Alexander Starke, Gertraud Schuepbach-Regula, Hendrik Müller, Philipp Kohler, Adrian Steiner

“…A model for automatic lameness detection was created, using data from accelerometers attached to the hind limbs and noseband sensors attached to the head. …”
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Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation by Fan Xuefeng, Zhenyu Wu, Liu Lijun, Yanfeng Wen, Shu Yu, Zhao Zepeng, Zefa Li

“…For sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. …”
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Data-driven strategies for digital native market segmentation using clustering by Md Ashraf Uddin, Md. Alamin Talukder, Md. Redwan Ahmed, Ansam Khraisat, Ammar Alazab, Md. Manowarul Islam, Sunil Aryal, Ferdaus Anam Jibon

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The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning by Asaf Salman, Giora Alexandron

“…If such a thing as DFL truly exists, then given enough fine-grained behavioral data, we argue that it should be possible to model a DFL to a level of discriminability that enables training machine learning models to associate (map) between the (de-identified) digital traces of the same learner in diverse contexts. …”
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Understanding tourism consumer behavior using biometric technologies: bibliographic review and research agenda by Nuria Ruiz-Lacaci, Ana Reyes-Menendez, Ana Vico Belmonte

“…Amidst the COVID-19 pandemic, these technologies have grown rapidly, posing challenges and opportunities in utilizing the resulting data. This study aims to develop a research agenda concerning biometrics in tourism consumer behavior, detailing what biometric data entails and outlining its diverse applications. …”
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Students’ Learning Behavior in Writing Descriptive Texts by Using Silent Card Shuffle Strategy by Rosi Kumala Sari, Rasmita Rasmita

“…Therefore, Silent Card Shuffle Strategy is chosen by the lecturer to motivate and change the students’ learning behavior in writing English descriptive texts. The method used this research was descriptive qualitative research. …”
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Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies by Thiago Christiano Silva, Benjamin Miranda Tabak, Idamar Magalhães Ferreira

“…We model investor behavior by training machine learning techniques with financial data comprising more than 13,000 investors of a large bank in Brazil over 2016 to 2018. …”
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Behavioral Assessment of a Novel Hepatic Encephalopathy Model using CCl₄ and Manganese in Mice by Claudia J. Frias-González, Ana Sandoval-Rodríguez, Carolina Díaz-Canul, Mónica A. Ibarra-Hernández, Jorge A. Salto-Sevilla, Juan Armendáriz-Borunda

“…Liver morphology changes were observed, and Hematoxylin-Eosin staining was used to determine inflammation. Data were analyzed using ANOVA for parametric data and the Kruskal-Wallis test for non-parametric data, with results presented as Mean ± SEM. …”
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The Use of Digital Devices to Monitor Physical Behavior in Motor Neuron Disease: Systematic Review by Lucy Samantha Musson, Nina Mitic, Victoria Leigh-Valero, Gladys Onambele-Pearson, Liam Knox, Frederik J Steyn, Cory J Holdom, Taylor JM Dick, Ruben PA van Eijk, Jordi WJ van Unnik, Lianne CM Botman, Emily Beswick, Deirdre Murray, Alys Griffiths, Christopher McDermott, Esther Hobson, Amina Chaouch, Emma Hodson-Tole

“…There is value in establishing a consensus approach to standardizing the use of such devices. ObjectiveWe aimed to explore how digital devices are being used to quantify free-living physical behavior in MND. …”
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What patients and caregivers want to know when consenting to the use of digital behavioral markers by Anika Sonig, Christine Deeney, Meghan E. Hurley, Eric A. Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J. Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet

“…Abstract Artificial intelligence (AI)-based computational tools for deriving digital behavioral markers are increasingly able to automatically detect clinically relevant patterns in mood and behavior through algorithmic analysis of continuously and passively collected data. …”
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Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment by Liqiang Huang

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Analyzing the learning behavior patterns of business english learners using deep learning technology by Xiaohui Zeng

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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

“…Initially, factors influencing the choice of financing methods, including structural, demographic, and behavioral factors, were identified. These factors were then assessed using a questionnaire consisting of 32 items, which was sent online to startup founders. …”
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Fluid Flow Behavior Prediction in Naturally Fractured Reservoirs Using Machine Learning Models by Mustafa Mudhafar Shawkat, Abdul Rahim Bin Risal, Noor J. Mahdi, Ziauddin Safari, Maryam H. Naser, Ahmed W. Al Zand

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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

“…We evaluate two main approaches: traditional machine learning models based on behavioral features extracted from the worm’s skeleton using Tierpsy Tracker, and deep neural networks that directly analyse video sequences. …”
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SEDENTARY BEHAVIOR IN YOUNG ADULTS USING ECOLOGICAL MOMENTARY ASSESSMENT: AN IMAGE OBSERVATION PROTOCOL by Amanda Baroni Costa, Arthur Magro Pinheiro, Guilherme Batista de Sousa, Lucas Vinícius Ramos, Millena Aparecida Ladislau, Catiana Leila Possamai Romanzini

“…ABSTRACT New ways to obtain information on sedentary behavior (SB) have recently been explored. This study aimed at assessing the self-reported posture agreement by using the Ecological Momentary Assessment (EMA). …”
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Video-Based Analysis of Cattle Behaviors: Improved Classification Using FlowEQ Transform by Jung-Woo Chae, Hyeon-Seok Sim, Chang-Woo Lee, Chang-Sik Choi, Hyun-Chong Cho

“…With a specific focus on behaviors closely associated with their management, the study employs deep learning-based action classification methods over the commonly used object detection. …”
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Micro-Driving Behavior Analysis of Drivers in Congested and Conflict Environments Using Graph Theory by Rongjun Cheng, Xudong An, Weiqi Fan, Dan Zhao

“…Graph theory and Markov theory were used to analyze the obtained graph to achieve the goal of analyzing the time-varying patterns of driving behavior. …”
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Audio-Based Automatic Giant Panda Behavior Recognition Using Competitive Fusion Learning by Yuancheng Li, Yong Luo, Qijun Zhao, Mingchun Zhang, Yue Yang, Desheng Li

“…We construct a new benchmark audio dataset of giant pandas named abPanda-5 for GPBR, which consists of 18,930 samples from five giant panda individuals with five main behaviors. To fully explore the bioacoustic features, we propose an audio-based method for automatic GPBR using competitive fusion learning. …”
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Generative artificial intelligence (GenAI) use and dependence: an approach from behavioral economics by Oscar Robayo-Pinzon, Sandra Rojas-Berrio, Jorge E. Camargo, Gordon R. Foxall, Gordon R. Foxall

“…ObjectiveThis study aims to explore the perceived dependence on Generative Artificial Intelligence (GenAI) tools among young adults and examine the relative reinforcing value of AI chatbots use compared to monetary rewards, applying a behavioral economics approach.Participants/methodsA total of 420 university students from Bogotá, Colombia, participated in an online survey. …”
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