Identifying Socio-Technical Risks in Open-Source Software for Scholarly Communications: Tools, Metrics, and Opportunities for Libraries to Support Sustainable Development by Pierre Lasou, Tomasz Neugebauer, Pamela Carson

“…While all aspects of OSS projects may be evaluated at the project or network/ecosystem level, addressing the actors, software, or orchestration (Linåker et al., 2022), community evaluation that looks at the interaction patterns between project contributors is the practical focus of this research paper since there are multiple human factors that librarians who may not be software developers can impact. …”
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The CASE Survey: Patient and Physician Perceptions Regarding Asthma Medication Use and Associated Oropharyngeal Symptoms by J Mark FitzGerald, Charles KN Chan, Martin C Holroyde, Louis-Philippe Boulet

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Probabilistic and deep learning approaches for conductivity-driven nanocomposite classification by Wejden Gazehi, Rania Loukil, Mongi Besbes

“…This probabilistic foundation is complemented by a Recurrent Neural Network (RNN) based on the Transformer architecture, which enhances classification accuracy by capturing sequential dependencies and complex data patterns. …”
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A comparative study of kinematic and kinetic analysis of gait in patients with non-specific low back pain versus healthy controls by Mohammad Taghi Karimi, Maryam Hasan Zahraee, Mahmood Bahramizadeh, Hanieh Khaliliyan, Majid Ansari, Farhad Ghaffari, Arash Sharafatvaziri

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DDA-MSLD: A Multi-Feature Speech Lie Detection Algorithm Based on a Dual-Stream Deep Architecture by Pengfei Guo, Shucheng Huang, Mingxing Li

“…Firstly, it combines a gated recurrent unit (GRU) network with the attention mechanism. This combination enables the network to more comprehensively capture the context of speech signals and focus on the parts that are more critical for lie detection. …”
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Characterization of Clostridium difficile Strains in British Columbia, Canada: A Shift from NAP1 Majority (2008) to Novel Strain Types (2013) in One Region by Agatha N. Jassem, Natalie Prystajecky, Fawziah Marra, Pamela Kibsey, Kennard Tan, Patricia Umlandt, Loretta Janz, Sylvie Champagne, Bruce Gamage, George R. Golding, Michael R. Mulvey, Bonnie Henry, Linda M. N. Hoang

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Antimicrobial Analysis of an Antiseptic Made from Ethanol Crude Extracts of P. granatum and E. uniflora in Wistar Rats against Staphylococcus aureus and Staphylococcus epidermidis by Thaís Honório Lins Bernardo, Regina Célia Sales Santos Veríssimo, Valter Alvino, Maria Gabriella Silva Araujo, Raíssa Fernanda Evangelista Pires dos Santos, Max Denisson Maurício Viana, Maria Lysete de Assis Bastos, Magna Suzana Alexandre-Moreira, João Xavier de Araújo-Júnior

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Mesoscale brain-wide fluctuation analysis: revealing ketamine’s rapid antidepressant across multiple brain regions by Qingying Cao, Xiaojun Xu, Xinyu Wang, Fengkai He, Yichao Lin, Dongyong Guo, Wenwen Bai, Baolin Guo, Xuyuan Zheng, Tiaotiao Liu

“…Ketamine primarily exerts the compensatory effects through network dynamics, contributing to its rapid antidepressant effect. …”
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Identification and functional characterization of glycosyltransferase-related biomarkers for tuberculosis diagnosis by Yibiao Zhang, Xiaoyun Ye, Jiancong Xu, Jixiao He, Xiaobing Lu

“…The effectiveness of the potential biomarkers was evaluated through Receiver Operating Characteristic (ROC) curves and their expression patterns. …”
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Adaptability and phenotypic stability of sugarcane clones in the state of Mato Grosso do Sul using multi-information methodology by Clodomiro Nicácio do Nascimento Júnior, Leandro Escobar Dalarosa, Jéssica Maria dos Santos, Moacir Marreiro da Silva, Lívia Maria Chamma Davide, João Carlos Civieiro, Hermann Paulo Hoffmann, Amanda Gonçalves Guimarães

“…The adaptability and stability of the genotypes was evaluated using multi-information, which included 10 parameters, being: the general average, average potential in different environmental conditions, plasticity, measure of the relative contribution to the interaction, Annicchiarico recommendation index, percentage adaptability, stability percentage, J pattern of genotype response, champion pattern and centroid recommendation index. …”
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Skin Lesion Diagnosis Through Deep Learning and Hybrid Texture Feature Augmentation by Irpan Adiputra Pardosi, Roni Yunis, Arwin Halim

“…The framework integrates handcrafted features with Convolutional Neural Networks (CNNs) to enhance classification accuracy. …”
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Fault-tolerant and mobility-aware loading via Markov chain in mobile cloud computing by Ning Wang, Ya Li, Yuanbang Li, Huanxin Nie

“…Abstract With the development of better communication networks and other related technologies, the IoT has become an integral part of modern IT. …”
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INTERNAL AUDIT AS A STRATEGIC RISK MANAGEMENT TOOL: A BIBLIOMETRIC ANALYSIS OF PUBLIC SECTOR EVOLUTION by Zulkiffly Baharom

“…The analysis encompasses 1,132 publications from the Scopus database (1978-2024), employing ScientoPy for bibliometric evaluation and VOSviewer for network visualization. …”
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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…Genetic algorithms optimize the hyperparameters, including learning rates and network architectures, while the attention mechanism enhances the model's ability to focus on relevant temporal patterns. …”
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Mobile Tourism Research and Practices: A Comprehensive Bibliometric Exploration and Future Study Direction by Syaifullah Syaifullah, Shamsul Arrieya Ariffin, Norhisham Mohamad Nordin

“… Even though mobile tourism analysis is developing, there is still a lack of literature regarding its formation patterns which makes the picture of its evolution incomplete. …”
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Image-Based Malware Detection Using Deep CNN Models by hawraa omran musa, Muhanad Tahrir Younis

“…Deep learning (DL) presents a promising strategy for malware detection by utilizing advanced algorithms that are capable of discerning intricate patterns from extensive datasets. This study presents a model based on deep learning with Convolutional Neural Network (CNN) for malware classification. …”
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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…Three different SEM datasets are used, namely the NFFA-EUROPE dataset, EPFL CVLab EM dataset, and Biofilms SEM dataset. The proposed network achieved the highest evaluation in accuracy (92.76%), precision (92.77%), recall (92.76%), and F1 score (92.74%), as well as the shortest training time in the NFFA-EUROPE dataset. …”
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Insights into hepatic angiomyolipoma: A case report highlighting scannographic findings by Fatima Zohra EL Yaagoubi, MD, Said Adnor, MD, Adam Hajjine, MD, Soukaina Wakrim

“…Postcontrast enhancement demonstrated a heterogeneous pattern with arterial-phase vascular structures (branches of the hepatic artery) and venous-phase elements (branches of the portal vein network). …”
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Attention-fused residual transformer CNN for robust lower limb movement recognition by A. Anitha, D. Jeraldin Auxillia

“…The AF-RT-CNN architecture combines residual blocks, attention mechanism and Transformer Encoder aiding robust feature extraction, good generalization capability and pattern recognition. The proposed framework was evaluated across 11 healthy individuals and 11 patients with lower limb impairments, across three distinct categories of lower limb movements sit, stand and gait. …”
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Whole-brain functional connectivity identification of functional dyspepsia. by Jiaofen Nan, Jixin Liu, Guoying Li, Shiwei Xiong, Xuemei Yan, Qing Yin, Fang Zeng, Karen M von Deneen, Fanrong Liang, Qiyong Gong, Wei Qin, Jie Tian

“…Recent neuroimaging studies have shown local brain aberrations in functional dyspepsia (FD) patients, yet little attention has been paid to the whole-brain resting-state functional network abnormalities. The purpose of this study was to investigate whether FD disrupts the patterns of whole-brain networks and the abnormal functional connectivity could reflect the severity of the disease. …”
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