What has changed in the attitude of health workers towards vaccination after the pandemic COVID-19 by S. M. Kharit, L. V. Romanov, Yu. E. Konstantinova, S. A. Bogdan

“…To improve the work on vaccination, 44.5% indicated the need for information on the official websites of the Ministry of Health of the Russian Federation, FMBA, Rospotrebnadzor and RoszdravnadzorConclusion The results of the survey indicate the need to modernize the system of training in vaccination of medical workers of various specialties, the development of new forms of information presentation, the use of official websites, the development of algorithms for communicating with the population on adherence to vaccination,…”
Get full text

Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks by Adriany A. F. Eduardo, Gustavo A. S. Martinez, Ted W. Grant, Lucas B. S. Da Silva, Wei-Liang Qian

“…The primary objective of this study is to explore how machine learning techniques can be incorporated into the analysis of material deformation. Neural network algorithms are applied to the study of mechanical properties of wire rods subjected to cold plastic deformations. …”
Get full text

Adaptive strategies for the deployment of rapid diagnostic tests for COVID-19: a modelling study [version 2; peer review: 2 approved, 1 approved with reservations] by Emily Kendall, Lucia Cilloni, Nimalan Arinaminpathy, David Dowdy

“…Concentrating on urban areas in low- and middle-income countries, the aim of this analysis was to estimate the degree to which ‘dynamic’ screening algorithms, that adjust the use of confirmatory polymerase chain reaction (PCR) testing based on epidemiological conditions, could reduce cost without substantially reducing the impact of testing. …”
Get full text

CLINICAL AND LABORATORY ASPECTS OF DETECTING SPECIFIC IgE ANTIBODIES TO COW’S MILK AND ITS COMPONENTS by N. A. Alkhutova, N. A. Kovyazina, O. L. Zhizhina

“…So far, however, we have no generally approved laboratory algorithms for diagnostics and monitoring of treatment efficiency in the cow milk allergy and its compomemts.We have performed a laboratory study of 187 children at the age of 3 months to 10 years. …”
Get full text

Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…Using machine-learning algorithms, specifically Random Forest, has yielded significant insights into the factors influencing Ethiopia’s unimproved water supply. …”
Get full text

Bridging Satellite Productivity and Global Biodiversity: Unveiling Insights through Dynamic Habitat Indices by Kedi Liu, Chunyan Cao, Sicong Gao, Wei Yang, Xuanlong Ma

“…Furthermore, the relatively higher uncertainty of satellite DHIs at low-productivity sites also urges further development of satellite GPP algorithms. Globally, protected areas showed significantly higher DHI Cum and Min and lower DHI CV (P < 0.0001), underscoring their superior habitat quality for biodiversity conservation. …”
Get full text

Comparison of Surface Current Measurement Between Compact and Square-Array Ocean Radar by Yu-Hsuan Huang, Chia-Yan Cheng

“…In Taiwan, the Taiwan Ocean Research Institute (TORI) has established a data quality management mechanism based on international standards for data filtering, noise reduction, and outlier detection, improving the accuracy and stability of radar-derived velocity measurements.To eliminate the effects caused by different center frequencies between MABT and KNTN, this study used the same algorithms and parameter settings as much as possible in all steps, from Doppler spectra processing to radial velocity calculation, ensuring the comparability of the data. …”
Get full text

Real world pharmacovigilance study of antineoplastic drug related vitiligo risks by Yixuan Yang, Hanzhang Xie, Dongtao Li, Ying Jia, Bingnan Cui, Jianhua Zou, Zhanshuo Xiao

“…A significant statistical association was considered when a drug signal met the criteria of all four algorithms. Our analysis of the FAERS database revealed 533 adverse event (AE) reports implicating antineoplastic drugs in the development of vitiligo, with a higher prevalence among females compared to males. …”
Get full text

Oxidative stress gene expression in ulcerative colitis: implications for colon cancer biomarker discovery by Ting Yan, Ting Su, Miaomiao Zhu, Qiyuan Qing, Binjie Huang, Jun Liu, Tenghui Ma

“…Subsequently, we performed Gene Ontology (GO) analysis and Kyoto encyclopedia of genes and genomes (KEGG) analyses, followed by immune infiltration analysis using the single-sample gene-set enrichment analysis (ssGSEA) and CIBERSORT algorithms. By constructing a multivariate Cox prognostic model using Kaplan–Meier curves and least absolute shrinkage and selection operator (LASSO) regression analysis, we assessed the model’s prognostic capability. …”
Get full text

Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study by Ying Zheng, Taotao Zhang, Shu Yang, Fuzhi Wang, Li Zhang, Yuwen Liu

“…This study aimed to build risk prediction models (RPMs) to estimate the probability of incident 2-year depression using data from the China Health and Retirement Longitudinal Study (CHARLS). Methods Four ML algorithms (logistic regression [LR], AdaBoost, random forest [RF] and k-nearest neighbor [kNN]) were applied to develop RPMs using the 2011–2015 cohort data. …”
Get full text

Scoping review to identify and map non-pharmacological, non-surgical treatments for dysphagia following moderate-to-severe acquired brain injury by Signe Janum Eskildsen, Daniela Jakobsen, Christian Gunge Riberholt, Ingrid Poulsen, Derek John Curtis

“…Future studies could benefit from clear reporting of patient diagnosis and disease severity, the use of more standardised treatment protocols or algorithms and fewer but standardised outcome measures to enable comparison of effects across studies and interventions.…”
Get full text

Synthesis of a reversible quantum Vedic multiplier on IBM quantum computers by Mojtaba Noorallahzadeh, Mohammad Mosleh

“…Abstract Quantum computers provide considerable potential to enhance computing technology, anticipated to surpass conventional computers by resolving intricate challenges that existing systems cannot tackle. They use quantum algorithms for improved performance and depend on reversible computations based on quantum physics and linear algebra. …”
Get full text

An explainable machine learning model in predicting vaginal birth after cesarean section by Ming Yang, Dajian Long, Yunxiu Li, Xiaozhu Liu, Zhi Bai, Zhongjun Li

“…Cervical Bishop score and interpregnancy interval showed the greatest impact on successful vaginal birth, according to SHAP results.Conclusions Models based on ML algorithms can be used to predict VBAC. The CatBoost model showed best performance in this study. …”
Get full text

A nicotinamide metabolism-related gene signature for predicting immunotherapy response and prognosis in lung adenocarcinoma patients by Meng Wang, Wei Li, Fang Zhou, Zheng Wang, Xiaoteng Jia, Xingpeng Han

“…Next, the MCP-counter, TIMER and ESTIMATE algorithms were utilized to comprehensively assess the immune microenvironmental profile of LUAD patients in different risk groups. …”
Get full text

Machine learning's model-agnostic interpretability on the prediction of students' academic performance in video-conference-assisted online learning during the covid-19 pandemic by Eka Miranda, Mediana Aryuni, Mia Ika Rahmawati, Siti Elda Hiererra, Albert Verasius Dian Sano

“…Result: The SMOTE improved the performance of three algorithms, with RF outperforming SVM and GNB in almost all tests, achieving an accuracy of 79.45%, precision of 75.71%, and recall of 79.45%. …”
Get full text

INTEGRATED GRAPH-BASED TESTING PIPELINE FOR MODERN SINGLE-PAGE APPLICATIONS by Nataliia Golian, Varvara Tisheninova

“…., clicks, form submissions, navigation events). Leveraging graph algorithms, our approach automatically identifies missing paths to achieve exhaustive node, edge, and simple path coverage up to a configurable length, synthesizes minimal test sequences, and generates executable test scripts in frameworks such as Jest (unit / component), Cypress or Playwright (integration / E2E), and Postman (API). …”
Get full text

A systematic literature review of the theoretical foundations of therapeutic and recuperative approaches through physiatry interventions involving prism adaptation in unilateral sp... by Roxana Bistriceanu, Aurelian Anghelescu, Gelu Onose

“…Participating in optimizing evaluation and treatment algorithms for patients with these conditions will hopefully lead to a more effective therapeutic approach that maximizes efficacy, benefiting both the patient and the healthcare and social systems.…”
Get full text

Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression by Kun Guo, Kun Guo, Bo Zhu, Lei Zha, Yuan Shao, Zhiqin Liu, Naibing Gu, Kongbo Chen

“…Machine Learning (ML) models have emerged as promising tools for predicting stroke prognosis, surpassing traditional methods in accuracy and speed.ObjectiveThe aim of this study was to develop and validate ML algorithms for predicting the 6-month prognosis of patients with Acute Cerebral Infarction, using clinical data from two medical centers in China, and to assess the feasibility of implementing Explainable ML in clinical settings.MethodsA retrospective observational cohort study was conducted involving 398 patients diagnosed with Acute Cerebral Infarction from January 2023 to February 2024. …”
Get full text

Named Entity Recognition in Aviation Products Domain Based on BERT by Mingye Yang, Bernadin Namoano, Maryam Farsi, John Ahmet Erkoyuncu

“…This paper proposes a new Named Entity Recognition (NER) method specifically tailored for the aviation product field (BBC-Ap), introducing an innovative approach that leverages domain-specific ontologies and advanced deep learning algorithms to significantly enhance the accuracy and efficiency of entity extraction from complex technical documents. …”
Get full text

A Multi-Objective Optimization and Decision Support Framework for Natural Daylight and Building Areas in Community Elderly Care Facilities in Land-Scarce Cities by Fang Wen, Lu Zhang, Ling Jiang, Wenqi Sun, Tong Jin, Bo Zhang

“…This study addresses this issue by adopting an integrated multi-method research framework that combines multi-objective optimization (MOO) algorithms, Spearman rank correlation analysis, ensemble learning methods (Random Forest combined with SHapley Additive exPlanations (SHAP), where SHAP enhances the interpretability of ensemble models), and Self-Organizing Map (SOM) neural networks. …”
Get full text