Examining Reasons for Using Non‐Primary Care Providers as Usual Source of Health Care: Insights From the All of Us Study by Abbey Gregg, Hui Wang, Brankeciara Ard, Marcelo Takejame Galafassi, Maryam Bidgoli

“…We used the Andersen Behavioral Model of Health Services Use framework and multivariable logistic regression to examine associations among predisposing, enabling, and need factors, according to the source of usual care. …”
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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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APPROACHES TO ASSESSING FACTORS OF CONSUMER BEHAVIOR by I. P. Lapteva, L. N. Trusova, E. N. Grishina

“…With apparent identity, these indexes are still different. The use of a set of special indicators for predicting consumer behavior allows a deeper and broader look at the problem under study. …”
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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

“…To address these issues, we have proposed a framework to detect such attacks in this study. Using a stacked autoencoder architecture, synthetic instances of minority class data were generated. …”
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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

“…Here, we evaluate a workflow for the automated detection and classification of acoustic signals from passive acoustic monitoring (PAM) data. Our specific goals include (1) present a method for automated detection of gibbon calls from PAM data using the “torch for R” ecosystem, (2) conduct a series of benchmarking experiments and compare the results of six CNN architectures; and (3) investigate how well the different architectures perform on data sets of the female calls from two different gibbon species: the northern gray gibbon (Hylobates funereus) and the southern yellow‐cheeked crested gibbon (Nomascus gabriellae). …”
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Topologically Optimized Anthropomorphic Prosthetic Limb: Finite Element Analysis and Mechanical Evaluation Using Plantogram-Derived Foot Pressure Data by Ioannis Filippos Kyriakidis, Nikolaos Kladovasilakis, Marios Gavriilopoulos, Dimitrios Tzetzis, Eleftheria Maria Pechlivani, Konstantinos Tsongas

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Assessment of unsafe behavior types by safety behavior sampling method in oil refinery workers in 2009 and suggestions for control by N Hashemi Nejad, I Mohammad Fam, R Jafari Nodoshan, E Dortaj Rabori, H Kakaei, H Kakaei

“…Data were collected using direct observation of workers’ behaviors, checklist, interview techniques and review of previous health and medical records. …”
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Using GPS and accelerometer data to precisely record egg laying, incubation and chick hatching of Cinereous Vultures (Aegypius monachus) in-situ by Cornel Cotorogea, Emilian Stoynov, Atanas Grozdanov, Simeon Marin, Hristo Valeriev Peshev, Ivelin Ivanov, Georgi P. Stoyanov

“…This study demonstrates the power of combining GPS and accelerometer data to gain valuable insights into the breeding behavior of threatened avian species, ultimately aiding in their conservation.…”
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Sensitivity Study of Multiconstellation GNSS-R to Soil Moisture and Surface Roughness Using FY-3E GNOS-II Data by Zhongmin Ma, Adriano Camps, Hyuk Park, Shuangcheng Zhang, Xiaojun Li, Jean-Pierre Wigneron

“…This highlights the shortcomings of using linear models to retrieve SM. Meanwhile, another important finding is that, for spaceborne GNSS-R data, SMAP-h may have underestimated the effective surface roughness.…”
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Caring behaviors and associated predictive factors in nurses caring for Covid-19 patients: An application of the theory of planned behavior by Reyhaneh Maleki, Afsaneh Raiesifar, Nasibeh Sharifi, Elham Shafiei, Fatemeh Darabi

“…Methods: A 2021 cross-sectional study enrolled 311 nurses working in the hospitals in Ilam (Iran), who were selected using the census method. The data collecting tools included the form of demographic information and the Caring Behaviors of Nurses Scale (CBNS) based on the theory of planned behavior. …”
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Synthesis using prospective meta-analysis to reduce youths’ e-cigarette use (SPARKE): a protocol for an individual participant data prospective meta-analysis (IPD PMA) examining in... by Emily Banks, Luke Wolfenden, Melissa A Little, Sam McCrabb, Rebecca K Hodder, Kylie E Hunter, Andrew Milat, Bonnie Halpern-Felsher, Nicola Newton, Lauren A Gardner, Serene Yoong, Sion Kim Harris, Mason Aberoumand, Peter Wyman, Lene Seidler, Kristen R Fox, Courtney Barnes, Heidi Turon, Jonathan G Williams, Christine Steeger, Lydia Shrier

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Blockchain-enabled data governance for privacy-preserved sharing of confidential data by Jingchi Zhang, Anwitaman Datta

“…Our novel ABE encryption system supports multi-authority use cases while hiding access policy and ensuring identity privacy, which also protects data sharing against corrupt authorities. …”
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