Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques by Syed Ibrar Hussain, Elena Toscano

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Quantification of sources and input-output pathways of heavy metals in soils from an abandoned mining watershed using Cd isotope tracing and inventory analysis by Qiumei Wu, Wenyou Hu, Kang Tian, Ya’nan Fan, Khalid Saifullah Khan, Hans Christian Bruun Hansen, Biao Huang

“…Quantitative analysis of regional-scale soil heavy metal (HM) sources presents significant challenges. …”
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Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

“…The developed system uses natural language processing algorithms to analyze the data with respect to its industry, which allows for automatic structuring of comments depending on their content and detailed tone analysis. The effectiveness of this approach was validated by analyzing comments from various social platforms, which demonstrated its ability to extract and structure relevant information, as well as assess the impact of videos through user reactions.…”
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Pattern formation, ruptures, and repairs in treatments of personality disorders: an idiographic case series study by Stine S. Høgenhaug, Stine S. Høgenhaug, Mickey T. Kongerslev, Franco Orsucci, Franco Orsucci, Giovanna Zimatore, Sune V. Steffensen, Sune V. Steffensen, Sune V. Steffensen, Andreas Ekberg, Andreas Ekberg, Matteo Campanella, Guenter Schiepek, Gry Kjaersdam Telléus, Gry Kjaersdam Telléus

“…Therapists, regardless of their clinical expertise, often find themselves grappling with the complexities of tailoring PD treatment. The alliance is often challenged by significant tension or breakdowns increasing risk of impaired progress. …”
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Inversion and analysis of leaf area index (LAI) of urban park based on unmanned aerial vehicle (UAV) multispectral remote sensing and random forest (RF). by Yan Li, Bocheng Wang, Xuefei Zhao, Yichuan Zhang, Lifang Qiao

“…Although the accuracy is still insufficient, RF's ability to handle nonlinear relationships makes it an effective tool for LAI inversion in complex vegetation environments. …”
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Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea by Ziqiang Hua, Limin Lin, Wanting Yang, Linlin Ma, Meiling Huang, Bingmiao Gao

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Integrating single-cell sequencing and transcriptome analysis to unravel the mechanistic role of sialylation-related genes in sepsis-induced acute respiratory distress syndrome by Xiaobing Liu, Yake Huang, Hao Zhang, Xia Yang, Quanxing Liu, Jigang Dai

“…Candidate genes were identified by implementing differential expression analysis and weighted gene co-expression network analysis (WGCNA). …”
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Phytochemical analysis and molecular mechanisms of anticancer activity of Stevia rebaudiana extract in gastric cancer cells: In silico docking and functional assays on apoptosis an...

“…The findings of our study showed that the viability of cells, capacity to form colonies, ability to migrate, and ability to invade were reduced in a manner that depended on the concentration of EESR. …”
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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…Additionally, the CBAM attention module is incorporated to enhance the model’s ability to learn target features. The EIOU loss function is used to improve the model’s convergence speed and its ability to identify small or partially occluded targets. …”
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Comparison of the Regression Method and The Neural Network Method in Specific Cases of Engineering Practice by Križan Peter, Svátek Michal, Matúš Miloš, Hanko Lukáš

“…Subsequently, through the steps of statistical analysis, we carried out estimates of effects, individual tests of hypotheses about the significance of the model and effects and, last but not least, also the predictive ability of the models thus obtained. …”
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Possibilities of statistical methodology in the study of economic security of the region by Dmitry V. Dianov, Elena A. Radugina

“…As the state of any economic system, characterized by the ability to withstand any negative encroachment from any subject, institution, other systems, social environment, etc., both economic and financial security is estimated, in fact, a polygamous system of indicators on all aspects of financial and economic activity.Purpose: therefore, the purpose of this scientific work, defined as the improvement of information support structures, decision-making in relation to economic security, fully meets the needs of management science and practice.Materials and methods: At the same time, all the methods, necessary for the statistical study of economic and financial security are used in the work: at each stage, an extensive block of statistical tools is involved, represented by the methods of the general theory of statistics and mathematical statistics, including multidimensional groups – cluster analysis, correlation and regression methods. …”
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Metagenomic analysis of human, animal, and environmental samples identifies potential emerging pathogens, profiles antibiotic resistance genes, and reveals horizontal gene transfer... by Rajindra Napit, Anupama Gurung, Ajit Poudel, Ashok Chaudhary, Prajwol Manandhar, Ajay Narayan Sharma, Samita Raut, Saman Man Pradhan, Jyotsna Joshi, Mathilde Poyet, Mathieu Groussin, Rajesh M. Rajbhandari, Dibesh B. Karmacharya

“…By employing shotgun metagenomics, we analyzed a diverse range of samples, including human fecal samples, avian fecal samples, and environmental samples. Our analysis revealed a complex interplay of pathogenic bacteria, virulence factors (VF), and antimicrobial resistance genes (ARGs) across these different domains. …”
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A Comprehensive Comparative Analysis of Deep Learning Models for Student Performance Prediction in Virtual Learning Environments: Leveraging the OULA Dataset and Advanced Resamplin... by Bayan A. Alnasyan, Mohammed Basheri, Madini O. Alassafi

“…A critical difference (CD) further confirmed that SAINT and AutoInt are the most effective architectures for addressing complex, imbalanced educational data. These findings highlight the importance of aligning model selection and resampling techniques with the complexity of the task and the characteristics of the data.…”
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A comprehensive review on the applications of chemometrics in analytical chemistry by Projesh Saha, Bibhas Pandit, Soma Pramanik, Bhupendra Shrestha

“…It is anticipated that these developments will transform analytical chemistry by enhancing researchers' ability to manage complex datasets and gain deeper insights from their investigations. …”
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School non-attendance and learned helplessness: latent profiles and ROC curves by María Pérez-Marco, Andrea Fuster, Carolina Gonzálvez

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Feasibility and Mechanical Strength Evaluation of New Customized Implants for Tibial Plateau Fractures Fixation by Meng Li, Mengmeng Hu, Xiaomeng Ren, Yi Gao, Longbo Du, Yu Jiang, Wei Zhang

“…Additionally, the γ‐type plate showed comparable strength to the MDPs system via finite element analysis and demonstrated a more vital ability to resist the separation of fracture fragments, with the maximum displacement of MDPs (0.61878 mm) 2.4 times higher than that of MCP (0.26124 mm). …”
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Identifying Hubs Through Influential Nodes in Transportation Network by Using a Gravity Centrality Approach by Worawit Tepsan, Aniwat Phaphuangwittayakul, Saronsad Sokantika, Napat Harnpornchai

“…To address these challenges, we propose a novel method called Hybrid Community-based Gravity Centrality (HCGC), which integrates local influence measures, community detection, and gravity-based modeling to more effectively identify influential nodes in complex networks. Through extensive experiments, we demonstrate that HCGC consistently outperforms existing methods in terms of spreading ability across varying truncation radii. …”
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Fractional-order mathematical model for Monkeypox transmission dynamics using the Atangana-Baleanu Caputo operator by Benedict Celestine Agbata, Erjola Cenaj, Raimonda Dervishi, Yahaya Jibrin Danjuma, Mshuur Mary-Anne Shior, Emmanuel Abah, Joseph Solomon Onuche, Homan Emadifar

“…Abstract Monkeypox continues to be a major global health concern, marked by recurring outbreaks and complex transmission dynamics. Traditional models of Monkeypox often fail to account for reinfection and the benefits of fractional-order systems, limiting their ability to accurately represent real-world disease progression. …”
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Advancing Structural Health Monitoring with Deep Belief Network-Based Classification by Álvaro Presno Vélez, Zulima Fernández Muñiz, Juan Luis Fernández Martínez

“…Dimensionality reduction techniques such as principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) enabled a clear separation between structural states, emphasizing the DBN’s ability to capture relevant classification features. …”
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The Impact of Natural Resources on the Development of Countries by Mohammad Javad Barbari, Abdolhosain Kalantari, Hosain Raghfar, Gholamreza Ghafari

“…In the present study, qualitative comparative analysis method has been used as a means of quantitative and qualitative research and a powerful tool to analyze the causal complexities. …”
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