Prenatal ochratoxin A exposure, birth outcomes and infant growth in rural Burkina Faso: A human biomonitoring sub-study from the MISAME-III trial by Yuri Bastos-Moreira, Alemayehu Argaw, Trenton Dailey-Chwalibóg, Jasmin El-Hafi, Lionel Olivier Ouédraogo, Laeticia Celine Toe, Sarah De Saeger, Carl Lachat, Marthe De Boevre

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Efficacy and safety of Shuxuening injection in intracerebral hemorrhage: a systematic review and meta-analysis by Wenting Song, Yaoyuan Liu, Yaoyuan Liu, Chaofan Kang, Yazi Zhang, Xing Yan, Xinyao Jin, Yuetong Wang, Fengwen Yang, Wentai Pang

“…The methodological quality of the included studies was assessed using the revised Cochrane Risk of Bias tool (ROB 2.0). For binary variables, risk ratios (RR) were calculated, while for continuous variables, mean differences (MD) or standardized mean differences (SMD) were calculated, based on 95% confidence intervals (CI).ResultsA total of 29 trials involving 3,012 participants were included. …”
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CRF1 receptor antagonists in congenital adrenal hyperplasia: A systematic review and meta-analysis of phase 2 open-label and phase 3 clinical trials by Mir wajid Majeed, Emma Finnegan, Mariano Gallo Ruelas, Marco Quirós, Marina Barbosa da Silva, Issa Salha, Catalina Herrán-Fonseca, Helen Michaela de Oliveira, Melissa Chacón Quirós, Raheel Ahmed, Zainab Humayun, Tajamul Hussain Shah, Mohammad Ashraf Ganie

“…Binary data was pooled from Phase 3 clinical trials. …”
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Value of a BRAFV600E and lymphocyte subset-based nomogram for discriminating benign lesions from papillary thyroid carcinoma in C-TIRADS 3 and higher nodules by Wenran Zhang, Simei Zeng, Jiaqing Dou, Chenfan Yu

“…This study established and validated a nomogram model to quantitatively predict the malignant risk of papillary thyroid carcinoma in thyroid nodules classified as C-TIRADS category 3 or higher, providing a reference for precise diagnosis and treatment of these moderately or highly suspicious nodules.MethodsThis retrospective study analyzed 210 patients with thyroid nodules (C-TIRADS ≥3), stratified by fine-needle aspiration biopsy (FNAB) results into benign and PTC groups. …”
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Effect of Combination of Point-of-Care C-Reactive Protein Testing and General Practitioner Education and Long-Term Effect of Education on Reducing Antibiotic Prescribing for Childr... by Zane Likopa, Anda Kivite-Urtane, Ieva Strele, Jana Pavare

“…Methods: This was a randomized controlled intervention study with randomization at the GP practice level. …”
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Beyond p-values: a cross-sectional umbrella review of chemotherapy-induced peripheral neuropathy treatments by Alice L. Ye, Salahadin Abdi

“…We focused our analysis on the three most researched treatment options: oral drugs, exercise, and acupuncture. …”
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Development and Evaluation of Effectiveness of a Universal Behavior Change Communication (UBCC) Model by Abhishek Mukherjee, Avantika Gupta, Geeta Patel, JK Kosambiya

“…Methodology A multiphase mixed-method study from June 2022 to July 2023. Phase I and III were conducted in urban field practice areas, where two Galis each were selected using simple random sampling. …”
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Early detection of Alzheimer’s disease in structural and functional MRI by Rudrani Maity, Vellupillai Mariappan Raja Sankari, Umapathy Snekhalatha, Umapathy Snekhalatha, Shubashini Velu, Tahani Jaser Alahmadi, Zaid Ali Alhababi, Hend Khalid Alkahtani

“…Integrate VGG-16 with Random Forest (VGG-16-RF) and VGG-16 with Support Vector Machine (VGG-16-SVM) to enhance the binary classification accuracy of Alzheimer’s disease, comparing their performance against traditional classifiers.MethodOpenNeuro and Harvard’s Data verse provides Alzheimer’s coronal functional MRI data. …”
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MEFET-Based CAM/TCAM for Memory-Augmented Neural Networks by Sai Sanjeet, Jonathan Bird, Bibhu Datta Sahoo

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Adaptation of Red Upland Rice Farmers to Climate Change in Semanu District, Gunungkidul Regency by Rahayu Lestari, Wijaya Oki, Cahya Addin Dinar

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The distribution of misalignment angles in multipolar planetary nebulae by Ido Avitan, Noam Soker

“…We measure the projected angle on the plane of the sky between adjacent symmetry axes of tens of multipolar planetary nebulae and find that the distribution of these misalignment angles implies a random three-dimensional angle distribution limited to $\lesssim 60^\circ$. …”
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Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors. by Toheeb Salahudeen, Maher Maalouf, Ibrahim Abe M Elfadel, Herbert F Jelinek

“…Results indicate promising accuracy and precision, particularly with Random Forest on balanced data. RF achieved an average accuracy of 92.7% and an F1 score of 83.95% for binary classification, 90.36% and 90.1%, respectively, for the classification of three classes of severity of depression and 89.76% and 88.26%, respectively, for the classification of five classes. …”
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THE CLASS OF PERFECT TERNARY ARRAYS by A. V. Sokolov, O. N. Zhdanov

“…In this paper we consider the problem of extending the definition of perfect binary arrays to three-valued logic case, as a result of which the definition of a perfect ternary array was introduced on the basis of the determination of the unbalance of the ternary function. …”
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Determinants of Small-Scale Irrigation Use for Poverty Reduction: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia by Zekarias Zemarku, Mulumels Abrham, Elias Bojago, Tsegeye Bojago Dado

“…The study location was chosen for this study purpose because no prior in-depth research had been conducted. Simple random sampling was used to select the three kebeles for the study. …”
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A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…We applied two classification techniques—binary and multiclass—to classify 1761 subjects into three categories: cognitively normal (CN), mild cognitive impairment (MCI), and Alzheimer's disease (AD). …”
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Studying the Role of Personality Traits on the Evacuation Choice Behavior Pattern in Urban Road Network in Different Severity Scales of Natural Disaster by Fatemeh Mohajeri, Babak Mirbaha

“…Analysis of evacuation behavior is conducted by 3 types of discrete choice models (traditional binary logit model (TBLM), hybrid binary logit model (HBLM), and random parameters/mixed binary logit model (MBLM)). …”
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Ensemble-based model to investigate factors influencing road crash fatality for imbalanced data by Nazmus Sakib, Tonmoy Paul, Nafis Anwari, Md. Hadiuzzaman

“…It is the first to train eight distinct binary classification models: Classification and Regression Trees (CART), Random Forest (RF), Gradient Boosting Machine (GBM), Extreme Gradient Boost (XGBoost), Logistic Regression (LR), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Naïve Bayes (NB) under three strategies: in isolation, with bagging, and with optimized bagging techniques (Grid Search CV, Random Search CV, and Bayesian Optimization). …”
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Enhancing Network Security: A Study on Classification Models for Intrusion Detection Systems by Abeer Abd Alhameed Mahmood, Azhar A. Hadi, Wasan Hashim Al-Masoody

“…The author has implemented several machine learning models, including bagging, multi-layer perceptron, logistic regression, extreme gradient boosting, and random forest. The authors utilize three datasets (Knowledge Discovery in Databases 1999 dataset, used for network intrusion detection research), UNSW-NB15 (a dataset capturing contemporary network attack patterns generated at the University of New South Wales), and CICIDS2017 (Canadian Institute for Cybersecurity Intrusion Detection System dataset, containing modern attack scenarios)(KDD99, UNSW NB15, and CICIDS2017) with varying train-test ratios to train the classifiers. …”
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Сorrective phase in the approximation of space-time analysis with accounting interference in collisions of heavy ions by S. O. Omelchenko, V. S. Olkhovsky

“…The aim of the work is to expand the approximation of the space-time analysis, which was previously used to describe binary elastic nucleon scattering reactions on nuclei and light ion collisions, to consider coherent effects in heavy ion collisions with three particles in the final reaction channel, two of which are detected. …”
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DAugSindhi: a data augmentation approach for enhancing Sindhi language text classification by Raja Vavekanand, Bhagwan Das, Teerath Kumar

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