Investigation of factors affecting crash severity of rear-end crashes with high collision speeds in work zones: A South Carolina case study by Mahyar Madarshahian, Jason Hawkins, Nathan Huynh, Chowdhury K.A. Siddiqui

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Incidence‐data‐based species richness estimation via a Beta‐Binomial model by Chun‐Huo Chiu

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CO2 CAPTURE MODELING IN AQUEOUS SOLUTION OF METHYLDIETHANOLAMINE AND HEXYLAMINE by CHAKIB BOUALLOU

“…The aim of this work is to establish a thermodynamic model using Non-Random Two-Liquid (NRTL) Electrolyte Aspen PlusTM model, which allows to simulate the CO2 capture by an aqueous mixture of methyldiethanolamine (MDEA) and hexylamine (HA) with mass concentration of MDEA 37 wt % + HA 3 wt %. …”
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Prevalence and determinants of vulnerability among Sundarbans mangrove forest resource-dependent communities in cyclone-prone southwestern coastal districts of Bangladesh by Md. Tanvir Hossain, Tunvir Ahamed Shohel, Md. Nasif Ahsan, Md. Nazrul Islam

“…Data were collected from 782 SMFRDCs in three Upazila (sub-district) of selected coastal districts using a structured interview schedule (SIS) and following a multistage stratified random sampling approach. …”
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Hypertensive Patients’ Knowledge of Risk Factors and Warning Signs of Stroke at Felege Hiwot Referral Hospital, Northwest Ethiopia: A Cross-Sectional Study by Addisu Taye Abate, Netsanet Bayu, Tesfamichael G. Mariam

“…Out of the total 284 selected hypertensive patients, 278 of them responded completely with a response rate of 97.9 %. Of these, more than three fourths, 214 (77%) and 201 (72.3%), of them did not identify any risk factors and warning signs of stroke, respectively, with an overall proportion of only 18.3% of them having good knowledge towards stroke. …”
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Optimization of Inversion Probability Tunable Sequence Phase Modulation for SBS Suppression in Fiber System by Qianhe Shao, Yifeng Yang, He Wang, Haowei Xia, Jingshuai Ma, Chenxiang Qian, Junqing Meng

“…Compared to the pseudo-random binary sequence (PRBS) case, this scheme increases the output power by 700 W at 10 GHz FWHM optical linewidth.…”
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Increasing proportion of mildly aged population in rural mitigates farmland abandonment in the farming-pastoral ecotone of northern China. by Yuling Jin, Guoliang Zhang, Xin Chen, Yi Zhou, Yukai Wei, Sicheng Mao, Haile Zhao, Wenting Liu, Zhihua Pan, Pingli An

“…The dynamic changes in farmland abandonment from 2000 to 2020 were systematically explored using a trajectory-based land use change detection approach. Binary logit regression models were employed to analyze the driving mechanism of the current farmland abandonment based on 1,195 questionnaires, and then random forest models were used to predict future farmland abandonment trends under various scenarios. …”
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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

“…In the second phase, missing data were removed, and the dataset was standardized. Five binary classification algorithms were utilized, including Random Forest, Logistic Regression, and Decision Trees, with hyperparameters optimized using the area under the receiver operating characteristic curve (AUC) and F1 score metrics. …”
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Hidden semi-Markov models to segment reading phases from eye movements by Brice Olivier, Anne Guérin-Dugué, Jean-Baptiste Durand

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Knowledge and associated factors towards trachoma in rural Lemo district, Southern Ethiopia, 2021 by Mikias Mered Tilahun, Biruk Lelisa Eticha, Mulunesh Girma Shobiso, Merkineh Markos Lorato

“…Seven kebeles were selected using a simple random sampling method. Then, a systematic random sampling procedure with a five-interval size was applied to select the household.Our study assessed the association between the outcome variable and explanatory variables using binary and multivariate logistic regressions. …”
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Transformer-Driven Affective State Recognition from Wearable Physiological Data in Everyday Contexts by Fang Li, Dan Zhang

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Degeneralization Algorithm for Generation of Büchi Automata Based on Contented Situation by Laixiang Shan, Jun Qin, Mingshi Chen, Zheng Qin

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Design and Implementation of Stream Cipher Using Neural Network by Siddeq Ameen, Mazin Othman, Safwan Hasoon, Moyed Al-Razaq

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PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation. by George Crowley, James Kim, Sophia Kwon, Rachel Lam, David J Prezant, Mengling Liu, Anna Nolan

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Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches by M. Guastella, M. Guastella, A. Pisciotta, R. Martorana, A. D’Alessandro

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Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization by Mohamed S. Sawah, Hela Elmannai, Alaa A. El-Bary, Kh. Lotfy, Osama E. Sheta

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IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

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#GAMEADDICTED: A Machine Learning Framework for Digital Game Addiction Detection and Early Intervention by Esra Kahya Ozyirmidokuz, Bekir Asim Celik, Eduard Alexandru Stoica

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Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at the herd level using mid-infrared spectral information f... by A. Birkinshaw, M. Sutter, M. Nussbaum, M. Kreuzer, B. Reidy

“…We compared 4 machine learning methods to assess which statistical model performs best at discriminating these classes. Three of these models have not yet been tested for herd-level dietary proportion classification, and all 4 follow completely different approaches: least absolute shrinkage and selection operator (LASSO), partial least squares discriminant analysis (PLS-DA), random forest (RF), and support vector machines (SVM). …”
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Choosing health facilities and impact factors of the choice in context of tiered medical system: A questionnaire survey of opinions of patients with multi-morbidity by Yuqin Zhu, Hua Jin, Dehua Yu

“…This will provide a reference for further implementing the tiered medical system and the rational allocation of medical resources. Methods: Using a random sampling method, we selected patients with multi-morbidity who attended from June 1, 2019, to January 1, 2020, at the Shanghai Yangpu District Central Hospital Regional Medical Group, which includes Shanghai Yangpu District Central Hospital and three community health centers (Dinghai, Yanji, and Changbai). …”
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