Improving Hokkai shrimp tracking accuracy using YOLOv8 with reflection and parallax correction by Natsuo Okada, Serina Kubo, Yanhui Zhu, Kaito Takizawa, Shion Wakae, Amane Nakamura, Sakura Igawa, Yoko Ohtomo, Kenji Minami, Kazushi Miyashita, Youhei Kawamura

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Using Reinforcer Sensitivity Theory to predict difficulties in emotional regulation: Data from students in Mexico and the US by Marco A. Pulido, Camila Ballesteros, Alondra Becerril

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Spatiotemporal dynamics of visitors to Jeju Island: Hotspot and spatial autocorrelation analyses using mobile phone data. by Kwang-Sub Lee, Jin Ki Eom

“…The local spatial autocorrelation analysis identified significant clustering in hotspots, highlighting spatial interdependencies critical for marketing and infrastructure planning. This study uses big data analytics to advance the understanding of tourist behavior, offering critical insights for crafting sustainable tourism strategies and policies that align with demographic, temporal, and seasonal dynamics. …”
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A Neural Network-integrated Elastoplastic Constitutive Model using Haigh–Westergaard Coordinates and Data Augmentation by Myung-Sung Kim, Taehyun Lee, Yongjin Kim

“…This study introduces an elastoplastic constitutive model integrated with a neural network, utilizing Haigh–Westergaard coordinates and a data augmentation technique to enhance the prediction of material behavior under monotonic and cyclic loading conditions. …”
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Rainfall Prediction based on Historical Weather Data using Naive Bayes Classification Model in Southeast Sulawesi by Ayustina Samudin, Rizal Adi Saputra, Fabelina Agsaria, Nurendro Hardjo Judanto, Ade Syifa Badarudin

“…The data used in this research consists of historical weather records obtained from the official BMKG (Meteorology, Climatology, and Geophysics Agency) website, containing features that significantly contribute to rainfall prediction. …”
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Synergistic grasp analysis: A cross-sectional exploration using a multi-sensory data glove by Subhash Pratap, Kazuaki Ito, Shyamanta M. Hazarika

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Robust fault detection and severity classification in rotating machinery using VMD-LSTM for limited data scenarios by Ammar Mrabti, Ramdane Younes, Nouredine Ouelaa, Tarek Kebabsa, Zakarya Ouelaa

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ML-extendable framework for multiphysics-multiscale simulation workflow and data management using Kadi4Mat by Somnath Bharech, Yangyiwei Yang, Michael Selzer, Britta Nestler, Bai-Xiang Xu

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Sampling zero stability in sampled data control systems with delays using backward triangle sample and hold by Minghui Ou, Yuancheng Luo, Zhenjie Yan, Yuanfei Deng, Yu Zhou, Cheng Zeng

“…In particular, we analyze the asymptotic behavior of sampling zeros with respect to the system’s relative degree and delay magnitude using BTSH. …”
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Impact of the COVID-19 pandemic on incidence of psychiatric disorders using nationwide cohort data and ARIMA models by Jun Ho Seo, Myeongjee Lee, Sunghyuk Kang, Se Joo Kim, Inkyung Jung, Jee In Kang

“…Abstract The present study aimed to investigate the impact of the COVID-19 pandemic on the incidence rates of psychiatric disorders using nationwide cohort data. A retrospective cohort study was conducted using South Korea’s nationwide claims database, covering 1,598,540 patients with new psychiatric diagnoses from January 2017 to June 2021. …”
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Motivation toward physical activity and nutrition in older cancer patients: the MONAGE protocol using ecological momentary assessment and accelerometers by Mathis Brusseau, Blandine Gallet-Suchet, Gérard Dray, Sophie Gendrault, Lobna Harguem, Julie Boiché

“…Nutritional behavior data are collected at midday and in the evening. …”
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From Social to Academic: Associations and Predictions Between Different Types of Peer Relationships and Academic Performance Among College Students by Jiadong Tian, Jiali Lin, Dagang Li

“…This study aims to expose the correlation between different types of social behaviors and the academic performance of college students, and then to predict the academic performance of college students based on their social characteristics. …”
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Sentiment Analysis of Pro-Israel Product Boycott Action Using IndoBERT Method on Unbalanced Data by Auliana Rizky Puspita Dewi, Slamet Riyadi, Cahya Darmajati, Nor Ashidi Mat Isa, Annisa Divayu Andriyani

“…The methods used included data crawling, data preprocessing, labeling with a Lexicon-Based approach, data balancing, and data splitting. …”
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Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data by Tongtong Jin, Ayitijiang· Halili

“…This study systematically developed machine learning (ML) models to predict depression risk in disabled elderly individuals using longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS), providing a potentially generalizable tool for early screening.MethodsThis study utilized longitudinal data from the CHARLS 2011–2015 cohort. …”
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Statistics of searching behaviour of database users of scientific information by O. L. Golitsina, N. V. Maksimov

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A multi-class driver behavior dataset for real-time detection and road safety enhancementdoi: 10.5281/zenodo.14908802. by Arafat Sahin Afridi, Arafath Kafy, Ms. Nazmun Nessa Moon, Md. Shahriar Shakil

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Women’s intention and factors associated with duration of use of Iron-folic acid supplement use in Karu, Nasarawa State, Nigeria: A cross-sectional study by Toyin O. Akomolafe, Andrew R. Hansen, Haresh Rochani

“…Data was analyzed using STATA 15.0. Results Almost all participants (97%) reported using iron-folic acid supplements, and 54% reported using iron-folic acid supplements daily. …”
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Predictive Model for <i>Listeria monocytogenes</i> in RTE Meats Using Exclusive Food Matrix Data by N. A. Nanje Gowda, Manjari Singh, Gijs Lommerse, Saurabh Kumar, Eelco Heintz, Jeyamkondan Subbiah

“…The training growth rates were used to develop a secondary gamma model, followed by validation in testing data. …”
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THE DESIGN OF STANDARD GRAPH FOR TODDLER GROWTH USES NONPARAMETRIC PENALIZED SPLINE REGRESSION by Alif Yuanita Kartini, Jauhara Rana Budiani, Muhammad Arifat

“…One way to carry out early detection of toddler growth is through the Healthy Way Card (KMS). The KMS used in Indonesia does not describe the growth behavior of toddlers. …”
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Efficient State Synchronization in Distributed Electrical Grid Systems Using Conflict-Free Replicated Data Types by Arsentii Prymushko, Ivan Puchko, Mykola Yaroshynskyi, Dmytro Sinko, Hryhoriy Kravtsov, Volodymyr Artemchuk

“…This paper investigates the application of conflict-free replicated data types (CRDTs) for representing and synchronizing the states of distributed electrical grid systems (DEGSs). …”
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