Analytical research of the relation between hydraulic mechanism of the axial pressure of the drilling rig and technological parameters of the drilling regimes of the geological exp... by V. V. Kulikov, S. . Zavacky

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Tribological Performance of Electrochemically Textured EN-GJS 400-15 Spheroidal Cast Iron by Peng Jiang, Jonathon Mitchell-Smith, John Christopher Walker

“…This paper presents an experimental study of uniform and variable texture patterns on a honed EN-GJS 400-15 spheroidal graphite cast iron surface. …”
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Brain structural MRI marker for predicting conversion to Parkinson’s disease in individuals with prodromal symptoms by Chang-hyun Park, Uicheul Yoon, Phil Hyu Lee, Jinna Kim, Seung-Koo Lee, Na-Young Shin

“…We investigated whether combining clinical non-motor markers with an MRI-based brain structural marker could enhance predictive performance for PD conversion.MethodsIndividuals with prodromal symptoms (n = 46, 63.5 ± 7.6 years, 24 males) were selected from the Parkinson’s Progression Markers Initiative dataset. We developed a machine learning classifier to identify individuals with brain structural patterns similar to PD based on cortical thickness and white matter integrity. …”
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The role of epigenetic regulation in pancreatic ductal adenocarcinoma progression and drug response: an integrative genomic and pharmacological prognostic prediction model by Kang Fu, Junzhe Su, Yiming Zhou, Xiaotong Chen, Xiao Hu

“…High-risk patients exhibited distinct mutation patterns, including higher frequencies of KRAS and TP53 mutations. …”
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Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics by Gayatri Gogoi, Gayatri Gogoi, Sarangthem Dinamani Singh, Sarangthem Dinamani Singh, Devpratim Koch, Devpratim Koch, Emon Kalyan, Rashmi Rani Boro, Aradhana Devi, Hridoy Jyoti Mahanta, Hridoy Jyoti Mahanta, Pankaj Bharali, Pankaj Bharali

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Research on the application of thermal field emission gun in electron beam lithography by Hao Xiaoliang, Zhao Yingwei, Sun Hu, Wang Xiuhai, Cao Jian, Ma Peisheng, Ren Zesheng

“…The classification and characteristics of electron gun are introduced, with emphasis on the principle, structure and characteristics of thermal field emission gun and its application in electron beam lithography machine. The relationship between the beam current of the electron beam lithography machine and the extractor current of the electron gun is described, and the influence of the parameters of the thermal field emission gun on the extractor current is analyzed. …”
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Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics by Saurabh Sharma, Vijay Kumar Gahlawat, Kumar Rahul, Rahul S Mor, Mohit Malik

“…Logistics, supply chain, marketing, and production patterns are covered along with food sub-sector applications for artificial intelligence techniques. …”
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Integrative single-cell and cell-free plasma RNA transcriptomics identifies biomarkers for early non-invasive AD screening by Li Wu, Li Wu, Renxin Zhang, Renxin Zhang, Yichao Wang, Yichao Wang, Shaoxing Dai, Shaoxing Dai, Naixue Yang, Naixue Yang

“…A systematic comparative analysis of cfRNA and brain scRNA-seq datasets was conducted to identify dysregulated genes linked to AD pathology. Machine learning models—including support vector machine, random forest, and logistic regression—were trained using cfRNA expression patterns of the identified gene set to predict AD diagnosis and classify disease progression stages. …”
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Autonomous identity-based threat segmentation for zero trust architecture by Sina Ahmadi

“…Behavioral analytics provide real-time risk scores by analyzing login patterns, access behavior, and resource utilization, while Machine Learning models dynamically adjust permissions based on geolocation, device type, and time of access. …”
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A Framework for Gold Price Prediction Combining Classical and Intelligent Methods with Financial, Economic, and Sentiment Data Fusion by Gergana Taneva-Angelova, Stefan Raychev, Galina Ilieva

“…The framework incorporates financial, macroeconomic, and sentiment indicators, allowing it to capture complex temporal patterns and cross-variable relationships over time. …”
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Lightweight Anomaly-Based Detection Using Cuckoo Search Algorithm and Decision Tree to Mitigate Man-in-the-Middle Attacks in DNS by Ramahlapane Lerato Moila, Mthulisi Velempini

“…The proposed model utilizes machine learning algorithms and statistical analysis techniques to ensure that the analysis of DNS query patterns can efficiently detect anomalies associated with the MitM. …”
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Towards ML Models’ Recommendations by Lara Kallab, Elio Mansour, Richard Chbeir

“…A prominent way to achieve this is machine learning (ML), which optimizes system performance by employing learning algorithms to create models based on data and its inherent patterns. …”
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Unveiling XSS Threats: A Bipartite Graph Approach with Ensemble Deep Learning for Enhanced Detection by Wafa Alorainy

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Integrative bioinformatics analysis to decipher common pathogenic processes in type 2 diabetes mellitus and pancreatic cancer by Faez Falah Alshehri

“…This study used bioinformatics analysis to uncover shared transcriptional patterns and central genes between T2DM and PC, identifying 388 dysregulated genes. …”
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Formal Assumptions and Limitations of Circular Models in Typologizing Psychological and Educational Theories by Agnieszka Szymańska

“…Additionally, the use of Support Vector Machines (SVM) with a Radial Basis Function (RBF) kernel has been proposed as a method capable of more effective analysis and verification of spherical models.SVM with an RBF kernel enables data transformation into a multidimensional space, allowing for more precise modeling and classification of complex patterns. …”
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Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system by Arulmurgan Aalavanthar, Famila S., Shanmugam Sundaramurthy, Stefano Cirillo, Giandomenico Solimando, Giuseppe Polese

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A Comprehensive Survey on Urdu Hate Speech Detection: Methods, Evaluation, and Challenges by Ijaz Hussain, Umar Farooq, Ammara Nawaz Cheema, Ibrahim M. Almanjahie

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Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

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How artificial intelligence reduces human bias in diagnostics? by Artur Luczak

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Detecting and Analyzing Botnet Nodes via Advanced Graph Representation Learning Tools by Alfredo Cuzzocrea, Abderraouf Hafsaoui, Carmine Gallo

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