A comparative study of infection prevention and control curricula in nursing master’s degree programs worldwide, with practical suggestions for Iran by Zahra Gorjian, Marziyeh Asadizaker, Kourosh Zarea, Alireza Irajpour, Fatemeh Ahmadi, Dariush Rokhafroz

“…Data were analyzed according to the Bereday model in four steps, including description, interpretation, juxtaposition, and comparison. …”
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A QSAR-based application for the prediction of lethal blood concentration of new psychoactive substances by Tarcisio Correa, Jéssica Sales Barbosa, Thiara Vanessa Barbosa da Silva, Thiala Soares Josino da Silva Parente, Danielle de Paula Magalhães, Wanderley Pinheiro Holanda Júnior

“…This quantitative structure-activity relationship (QSAR) model focuses on opioids, designer benzodiazepines, synthetic cathinones, synthetic cannabinoids, and phenethylamines. …”
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Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions by Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Sofia Kalantzi, Nikolaos Theodorakis, Maria Nikolaou, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Feretzakis

“…However, challenges remain, particularly in integrating genomic data and ensuring model interpretability. Further research is needed to advance ML applications in AMR prediction and management.…”
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Legal regulation of the system of public administration entities providing the administrative and legal regime of special economic zones by O. A. Lakaev

“…The author uses general scientific methods were used (formal-logical, systemic-structural and dialectical methods), as well as private scientific methods, such as the formal-legal, comparative-legal method, the method of interpretation of legal norms.The main results, scope of application. …”
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THE SEARCH OF OWN IDENTITY AS A POSTMODERN GAME IN THE TEXTS BY SHERMAN ALEXIE by Oksana G. Shostak

“…The research was conducted using historical-cultural, receptive-interpretive and structural methodological approaches. …”
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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…It extracts features at three different resolutions (12 × 12, 24 × 24, 48 × 48), allowing it to detect subtle local features and global elements. This model uses self-attention mechanics to improve spatial connections between single scales and cross-attention to automatically match feature patterns across multiple scales, thereby developing a comprehensive information structure. …”
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Theory of Virtual Genre Studies: The Problem of Methodology by Tyukaeva Nadezhda

“…It focuses on typical phenomena in net-idioms and subsequent theoretical exploration of how web-genres structure digital discourse. Future research prospects include the integration of quantitative methods and practical validation of models in communication studies and linguistic expertise. …”
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Genome Sequencing Reveals the Adaptation of Chickens to High Altitudes in Different Regions by Yizhou Hu, Xing Li, Qixin Guo, Lan Huang, Hao Bai, Guobin Chang

“…In total, 21,672,487 high-quality single-nucleotide polymorphisms were selected and used for subsequent analyses. First, we interpreted the genetic relationships among chickens from different sampling regions using a neighbor-joining tree, population structure, and four dimensionality reduction methods. …”
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Using optimized dimensionality reduction and machine learning to explain driving processes of phytoplankton community assembly in large mountain rivers by Jingxu Ye, Daikui Li, Qi Liu, Jianying Song, Jiawei Song, Zhigang Zu, Yujun Yi

“…However, enhancing the utilization of data structural features and ecological interpretability in multi-dimensional data integration remains a challenge. …”
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A probabilistic approach to visualize the effect of missing data on PCA in ancient human genomics by Susanne Zabel, Samira Breitling, Cosimo Posth, Kay Nieselt

“…Abstract Background Principal Component Analysis (PCA) is widely used in population genetics to visualize genetic relationships and population structures. In ancient genomics, genotype information may in parts remain unresolved due to the low abundance and degraded quality of ancient DNA. …”
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Unlocking the hidden forces: deformation and associated stress distribution in the present-day Geneva Basin and Jura fold-and-thrust belt by Sandra Borderie, Jon Mosar, Adeline Marro, Louis Hauvette

“…The failure potential is thus strongly determined by the internal structure of the considered prototype, the frictional properties, and orientations of the existing faults. …”
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Radiomics in the differential diagnosis of glioblastoma under the primary neurooncoimaging conditions by Nikita E. Maslov, Daria A. Valenkova, Alexander M. Sinitсa, Gennadiy E. Trufanov, Vladimir M. Moiseenko, Alexander Yu. Efimtsev, Vera V. Chernobrivtseva

“…However, tumor tissue biopsy as the conventional diagnostic standard has a number of limitations that can potentially be mitigated by applying the principles of radiomics to the interpretation of magnetic resonance (MR) images. The aim of our study is to develop a radiomics model for IDH mutation status prediction, which can be applied to primary diagnostic imaging in patients with suspected adult-type diffuse gliomas. …”
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Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…This unsupervised technique enables the mining of discriminative features from the skin cancer images, effectively mitigating overfitting concerns and letting the model adjust structural features of skin cancer images, facilitating effective detection of skin cancer features. …”
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Process simulations of fiber reinforced polymer composites towards AI ages by ZHOU Yubo, LI Min, WANG Shaokai, GU Yizhuo, TAO Fei, CHEN Xiangbao, ZHANG Zuoguang

“…Also，data-driven AI technology faces uncertain issues regarding the representativeness，generalisability，and interpretability of the models. Therefore，traditional process simulation based on physicochemical mechanisms can provide a large amount of reliable data for data-driven ML simulation，and then through AI，more quantitative models describing the composite process can be established to expand the computable scope of process simulation. …”
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Linguistic and translational features of the international vocabulary of military subject by L. R. Vartanova, Yu. V. Ryndina

“…In the military domain, the interpreter plays a very important role, since it is the interpreter, who sometimes determines an adequate assessment of the situation, as well as awareness of the enemy’s plans. …”
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Teaching Internal Medicine Residents to Critically Appraise the Role of Race in Pulmonary Function Testing by Ananya Bhatia-Lin, Nirav Bhakta, Neha Deshpande, Laura Granados, Rosemary Adamson

“…Discussion This curriculum was successful in engaging participants in critically appraising race-based interpretations of pulmonary function testing. The structure of the curriculum could be repurposed to create didactic content on other examples of race-based clinical algorithms.…”
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Between Fiction and Art History: Portrait of a Lady on Fire by Gül Cevahir Altun

“…This study, which focuses on how Sciamma interprets through a feminist perspective in her Portrait of a Lady on Fire, the institutional structure surrounding female artists in France in the 18th century and the painting concept in which women are glorified as mothers and wives, aim to examine and compare the themes of the film that intersect with relevant examples selected from Western art.…”
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Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

“…., encompassing word frequency, statistical metrics, sentiment analysis, and comment tree structure features, as well as advanced feature selection methodologies, particularly lassonet, i.e., a neural network with feature sparsity, to effectively address dimensionality challenges while enhancing model interpretability and computational efficiency. …”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…By comparing co-crystal structures, we find that BarlowDTI effectively exploits catalytically active and stabilising residues, highlighting the model’s ability to generalise from one-dimensional input data. …”
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A sociological study of the causes of participation in environmental non governmental organizations in Tehran: presentation grounded theories by Parvaneh Shateri, Sadegh Salehi, Mansoor Sharifi, Reza Ali Mohseni

“…Data were collected using semi-structured interviews and analyzed usingopen, axial, and selective coding steps. …”
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