Quantification of droplet and contact transmission risks among elementary school students based on network analyses using video-recorded data. by Shuta Kikuchi, Keisuke Nakajima, Yasuki Kato, Takeshi Takizawa, Junichi Sugiyama, Taisei Mukai, Yasushi Kakizawa, Setsuya Kurahashi

“…To analyze pathogen transmission among students, it is essential to obtain behavioral data. Questionnaires and wearable sensor devices were used for communication behavior and swab sampling was employed for contact behavior. …”
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Age-related associations between heavy drinking and inconsistent condom use among unmarried adults: results from the Brazilian National Health Survey by Nayara Lopes Gomes, Cláudia de Souza Lopes

“…Abstract: Risky sexual behaviors, such as the nonuse of condoms, are identified in the literature as a possible outcome of excessive alcohol use. …”
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Effect of individual preventive practices on COVID-19 infection: an analysis of big data collected at PCR testing centers in Hiroshima, Japan by Tatsuhiro Nagata, Odgerel Chimed-Ochir, Yui Yumiya, Junko Tanaka, Masao Kuwabara, Kanako Kitahara, Hiroki Ohge, Tatsuhiko Kubo

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Modeling the determinants of cigarette consumption in Iranian households with children under 5 years of age using the Income and Expenditure Survey 2021 by Shakila Bagheri, Naser Kamyari, Saeed Hesam, Maryam Seyedtabib

“…Methods We conducted a cross-sectional analysis of 8751 Iranian households using data from the Iranian Household Income and Expenditure Survey (HIES) collected by the Statistical Center of Iran (SCI) in 2021. …”
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Assessment of Behavioral disorders of children with Autism by Kawther S. Dawood, Ali K. Khudhair

“…The behavior of autistic child was assessed using the Indian Scale for Assessment of Autism (ISAA). …”
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THE INFLUENCE OF KNOWLEDGE SHARING BEHAVIOR ON INNOVATIVE WORK BEHAVIOR OF EMPLOYEES AT CLASS IIB YOGYAKARTA WOMEN’S CORRECTIONAL INSTITUTION by Niken Meileni, Padmono Wibowo

“…The data analysis techniques were processed using IBM SPSS version 25. …”
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Improving lifetime of WSN using modified Moth Flame Optimization by Methaq Mahdi Ali, Razieh Asgarnezhad

“…The provisioning of nodes, selection of cluster leaders, and optimal paths have all been recommended using many current methods. However, none of the currently used methods yield sufficient grid energy optimization results. …”
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Temporal consistency of behavior trait measurements in guide dogs by Emma K. Hilby, Aaron Rendahl, Jane Russenberger, Jane Russenberger, Madeline Zimmermann, Madeline Zimmermann, James R. Mickelson, Molly E. McCue

“…The tool’s use has expanded to the entire assistance dog industry and is rapidly emerging as the standard behavior assessment. …”
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Physical activity and sedentary behavior in peritoneal dialysis patients: a comparative analysis of ActiGraph GT3X data collected via wrist and waist with placement-specific cut-po... by Mingzi Chu, Chun Hu, Lin Zhu, Jiajia Lyu, Feng Wang, Xingjuan Tao

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A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data by Rafael Rivera-Lopez, Hector G. Ceballos

“…To tackle this issue, we propose an evolutionary approach to induce univariate decision trees that accurately mimic the behavior of black-box models using tabular data. Our method employs two differential evolution algorithm variants, focusing on building univariate decision trees to enhance model explainability. …”
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Association of COVID-19 outcomes with measures of institutional and interpersonal trust: an ecological analysis using national data from 61 countries by Lillian Rountree, Guangyu Tong, Fan Bu, Megan Ranney, Bhramar Mukherjee

“…We use data from Wave 7 (2017–2022) of the World Values Survey to assess the country-level relationship between trust and COVID-19 outcomes across 61 countries via clustering and regression. …”
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scGraphformer: unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network by Xingyu Fan, Jiacheng Liu, Yaodong Yang, Chunbin Gu, Yuqiang Han, Bian Wu, Yirong Jiang, Guangyong Chen, Pheng-Ann Heng

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Enhancing piezoelectric control of cracks in thin solid aluminum plates using finite element data and a neural networks approach by Abdul Aabid, Muneer Baig, Mohammad Abdul Malik

“…Stress intensity factors (SIFs) are determined by using FE methods to examine the linear elastic fracture mechanics behavior at the crack tip. …”
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Impact of built environment on commuting carbon emissions using big data: a case study of Jinan’s main urban area by Yukang Li, Jianming Ye, Zhaoqi Li, Mengmeng Zhu, Yingbin Li

“…Through the integration of multi-source big data, including travel trajectory, urban land use, and street view data, the research analyzes the spatial patterns of commuting behavior and emissions. …”
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China tuberculosis policy at crucial crossroads: comparing the practice of different hospital and tuberculosis control collaboration models using survey data. by Xiaolin Wei, Guanyang Zou, John Walley, Jia Yin, Knut Lonnroth, Mukund Uplekar, Weibing Wang, Qiang Sun

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Robust Gas Demand Prediction Using Deep Neural Networks: A Data-Driven Approach to Forecasting Under Regulatory Constraints by Kostiantyn Pavlov, Olena Pavlova, Tomasz Wołowiec, Svitlana Slobodian, Andriy Tymchyshak, Tetiana Vlasenko

“…The study used monthly natural gas consumption data from 105,527 households in the Volyn region of Ukraine from January 2019 to April 2023 and meteorological data on average monthly air temperature. …”
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A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders by Shahid Tufail, Hasan Iqbal, Mohd Tariq, Arif I. Sarwat

“…This study shows the importance of understanding algorithmic behavior and data features and how it can impact the performance of ML models. …”
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Predicting high anger intensity using ecological momentary assessment and wearable-derived physiological data in a trauma-affected sample by Olivia Metcalf, Karen E. Lamb, David Forbes, Meaghan L. O’Donnell, Tianchen Qian, Tracey Varker, Sean Cowlishaw, Sophie Zaloumis

“…However, no prediction models have been built in trauma-exposed populations that leverage real-world data.Objective: This project aimed to determine if wearable-derived physiological data can predict anger intensity in trauma-exposed adults.Method: Heart rate variability (i.e. a commercial wearable stress score) was combined with ecological momentary assessment (EMA) data collected over 10 days (n = 84). …”
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A Robust Authentication and Trust Detection With Privacy Preservation of Data for Fog Computing in VANET Using Adaptive Deep Neural Network by Jia Jia, Sathiya Sekar Kumarasamy, Kiran Sree Pokkuluri, K. Suresh Kumar, Thella Preethi Priyanka, Feng Wang

“…So, in our model after completing the node authentication and trust detection, privacy preservation of data is performed using Optimal Key-aided Data Sanitization (OPDS). …”
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Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the “Torch for R” Ecosystem by Dena J. Clink, Jinsung Kim, Hope Cross‐Jaya, Abdul Hamid Ahmad, Moeurk Hong, Roeun Sala, Hélène Birot, Cain Agger, Thinh Tien Vu, Hoa Nguyen Thi, Thanh Nguyen Chi, Holger Klinck

“…We found that the highest‐performing architecture depended on the species and test data set. We successfully deployed the top‐performing model for each gibbon species to investigate spatial variation in gibbon calling behavior across two grids of autonomous recording units in Danum Valley Conservation Area, Malaysia and Keo Seima Wildlife Sanctuary, Cambodia. …”
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