A General Framework for Developing a Comprehensive Health Risk Assessment Method for Nanomaterials-Related Activities: A Critical Analysis by Soqrat Omari Shekaftik, Abbas Sheikhtaheri, Esmaeil Zarei, Somayeh Farhang Dehghan, Neda Mehrparvar, Farideh Golbabaei

“…Accordingly, this study aims to propose a general framework for the development of such methods. Material and Methods: This is a critical analysis study designed to evaluate existing methods for assessing occupational risks related to nanomaterials and ultimately propose a modified framework for refining these methods. …”
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Integrating Multisource Geographic Big Data to Delineate Urban Growth Boundary: A Case Study of Changsha by Xing Gao, Nan Xia, Sudan Zhuang, Xin Zhao, Jiale Liang, Ziyu Wang, Manchun Li

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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

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A Cloud-Based Intelligence System for Asian Rust Risk Analysis in Soybean Crops by Ricardo Alexandre Neves, Paulo Estevão Cruvinel

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Different city = different cycling behaviour? A comparative analysis of cycling behaviour in German cities by Stefan Huber, Sven Lißner, Paul Lindemann, Katrin Lubashevsky

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Biobanking in the hospital of a multidisciplinary research medical center as a potential for a wide research range. Part II. Specifics and first results of developing a described c... by O. V. Kopylova, A. I. Ershova, M. S. Pokrovskaya, A. N. Meshkov, A. L. Borisova, I. A. Efimova, Z. Z. Serebryanskaya, A. V. Pustelenin, Yu. V. Yuzkov, E. V. Garbuzova, A. M. Velichko, F. R. Sayfutdinov, O. M. Drapkina

“…In connection with the development of genetic and other types of research in translational medicine, collections containing a significant number of biospecimens and large data sets are required. …”
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Features of Recruitment: Intelligent Text Analysis of Resume and Vacancies by Irina L. Sizova

“…An original methodology for analyzing labor market big data was developed, based on 5,347,805 texts of resumes and job postings collected from three largest Russian platforms for the period 2019–2024. …”
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Development and validation of the health belief model scale for early childhood caries prevention behaviors of parents by Ketian Wang, Gillian Hiu Man Lee, Pei Liu, Hey Ching Wong, Xiaoli Gao, Samuel Yeung Shan Wong, May Chun Mei Wong

“…Explorative factor analysis (EFA) was performed to identify the latent constructs and items with factor loadings > 0.4 were extracted; Confirmative factor analysis (CFA) was conducted to crosscheck the constructs gained from EFA using each half of the data (n > 300). …”
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TECHNOLOGIES FOR DEVELOPING DECISION SUPPORT SYSTEMS FOR THE DIAGNOSIS OF BLOOD DISORDERS USING CONVOLUTIONAL NEURAL NETWORKS by U. V. Maslikova, A. A. Supilnikov

“…An interface for transmitting medical texts  to the medical text semantics recognition system was also developed. The IBM Watson Annotator for Clinical  Data was used to perform preliminary analysis of medical texts. …”
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ZFinfer: A novel chemical-phenotype inference system for zebrafish for filling data gaps in environmental pollutant research by Hung-Lin Kan, Shan-Shan Wang, Chun-Wei Tung

“…Chemical-phenotype inference system for zebrafish (ZFinfer), an enrichment analysis tool that can predict affected endpoints, was developed by integrating chemical-protein interaction data from the Search Tool for Interacting Chemicals (STITCH) database and gene-phenotype annotation data from the Zebrafish Information Network (ZFIN). …”
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Identification of spastic ataxia-related proteins via comparative proteomic analysis of the cerebellum of conditional Ankfy1 knockout mice by Rong Fu, Man Ding, Tong Yin, Linlin Zheng, Yue Liu, Hang Yu, Rumeng Zhou, Zuneng Lu

“…Western blotting and immunofluorescence verified the upregulation of ARHGDIB and the downregulation of PCP2 in the cerebellum. Our proteomic analysis of conditional Ankfy1 knockout mice may guide future research to help develop treatments for progressive spastic ataxia.…”
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Human brain single-cell data reveal shared synaptic dysfunction and immune abnormality in epilepsy and Alzheimer′s disease by YU Xiaolin, ZHANG Erning, SHA Longze

“…Methods The single-cell transcriptome sequencing data of brain tissue from AD and epilepsy patients were collected from gene expression omnibus (GEO) database followed by cell clustering, differential expression analysis and gene ontology (GO)functional enrichment analysis using R-based tools such as Seurat and cluster Profiler and video electroencephalogram (vEEG) monitoring and Western blot experiments. …”
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A quantitative analysis of Koopman operator methods for system identification and predictions by Zhang, Christophe, Zuazua, Enrique

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Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

“…This research importantly bridges the gap between general analytical techniques and the bespoke solutions required for detailed crime pattern analysis, providing a crucial resource for policymakers and law enforcement agencies dedicated to developing precise, adaptive public safety strategies.…”
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FastQTLmapping: an ultra-fast and memory efficient package for mQTL-like analysis by Xingjian Gao, Jiarui Li, Xinxuan Liu, Qianqian Peng, Han Jing, Sibte Hadi, Andrew E. Teschendorff, Sijia Wang, Fan Liu

“…This challenge is especially pronounced in methylation quantitative trait loci (mQTL)-like analysis, which typically involves high-dimensional genetic and epigenetic data. …”
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Developing a geomechanical model to predict breakdown pressure in a vertical borehole using failure analysis: a case study by Majid Jamshidian, Mostafa Mansuri Zadeh, Omid Mohammadzadeh, Mohammad Abdideh

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Cost-effectiveness of four immunomodulatory therapies for relapsingremitting multiple sclerosis: A Markov model based on data a Balkan country in socioeconomic transition by Janković Slobodan M., Kostić Marina, Radosavljević Marija, Tešić Danka, Stefanović-Stoimenov Nataša, Stevanović Ivan, Raković Slađana, Aleksić Jelena, Folić Marko, Aleksić Aleksandra, Mihajlović Ivana, Biorac Nenad, Borlja Jelena, Vučković Radosava

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Enhancing Typhoid Fever Diagnosis Based on Clinical Data Using a Lightweight Machine Learning Metamodel by Fariha Ahmed Nishat, M. F. Mridha, Istiak Mahmud, Meshal Alfarhood, Mejdl Safran, Dunren Che

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An EMG-Based GRU Model for Estimating Foot Pressure to Support Active Ankle Orthosis Development by Praveen Nuwantha Gunaratne, Hiroki Tamura

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The effect of the Covid-19 pandemic on the maternal mortality rate and the achievement of the Sustainable Development Goal in Brazil by Gabriella Linhares Siqueira, Gabrielle Rossini de Oliveira Fontes, Alanna Gomes da Silva, Cassia Regina Gontijo Gomes, Fernanda Marçal Ferreira, José Paulo de Siqueira Guida, Eunice Francisca Martins, Libni Cosiello Fuillarat Ciaravolo, Maria Cristina Gabrielloni, Marina Cristina dos Santos Brito, Fernanda Penido Matozinhos, Thales Philipe Rodrigues da Silva

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