Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images by K. Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini, Gyanenedra Prasad Joshi, Woong Cho

“…Abstract Detecting brain tumours (BT) early improves treatment possibilities and increases patient survival rates. …”
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A machine learning approach to predict pancreatic islet grafts rejection versus tolerance. by Gerardo A Ceballos, Luis F Hernandez, Daniel Paredes, Luis R Betancourt, Midhat H Abdulreda

“…The analysis identified discriminative peaks in the EPGs of the three sample categories. …”
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Quantum-Spacetime Scenarios and Soft Spectral Lags of the Remarkable GRB130427A by Giovanni Amelino-Camelia, Fabrizio Fiore, Dafne Guetta, Simonetta Puccetti

“…The effect is well characterized by a linear dependence, within such a miniburst, of the detection time on energy. We also observe that some support for these features is noticeable also in earlier Fermi-LAT GRBs. …”
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Research on Multiscale Atmospheric Chaos Based on Infrared Remote-Sensing and Reanalysis Data by Zhong Wang, Shengli Sun, Wenjun Xu, Rui Chen, Yijun Ma, Gaorui Liu

“…The atmosphere is a complex nonlinear system, with the information of its temperature, water vapor, pressure, and cloud being crucial aspects of remote-sensing data analysis. There exist intricate interactions among these internal components, such as convection, radiation, and humidity exchange. …”
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Countering transnational organized groups using information and communication technologies for the illegal sale of drugs by S. I. Davidov, M. V. Kondratev, V. V. Polyakov

“…The research subject is the features of forensic and operational-search tools and methods in the fight against illegal sale of drugs and psychotropic substances, carried out by transnational organized groups using information and communication technologies.The research goal is to analyze the current state of illicit drug trafficking, carried out by organized groups using information technologies, and to develop proposals on this basis for effective operational-search and forensic support for the detection, disclosure and investigation of such crimes.The dialectical-materialistic method, general scientific methods of cognition, the content analysis method of scientific literature and empirical sources, the comparative legal method, the method of expert assessments constitute the methodological basis of the present research.During the study, the following scientific findings have been obtained, namely based on the forensic practice analysis, it has been concluded that crime in the drug business has changed significantly over the last decade. …”
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Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application by Chao Li, Ji Chen, Mengshi Dong, Hao Yan, Feng Chen, Ning Mao, Shuai Wang, Xiaozhu Liu, Yanqing Tang, Fei Wang, Jie Qin

“…This study investigates whether functional connectivity features identified in chronic, medicated SSD patients could be generalized to early-stage SSD. …”
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Clinical and radiological characteristics of the course of the newly diagnosed tuberculosis spondylitis in adults and the effectiveness of the main course of antimycobacterial ther... by О. М. Raznatovska, V. V. Bezdenezhnyi, V. I. Mozolyuk

“…Study objective – set the frequency of detection of the newly diagnosed tuberculous spondylitis, the features of clinical and radiological manifestations of it and the effectiveness of the main course of antimycobacterial therapy. …”
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A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves by Akshay Prakash Kalgutkar, Shirsendu Sikdar, Sauvik Banerjee, Karl Walton, Rakesh Mishra

“…This study introduces a hybrid -numerical–experimental framework for robust detection and characterisation of barely visible damage in HCM using guided waves (GW). …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…By integrating wavelet-based feature extraction with machine learning-driven analysis, this approach enhances the ability to detect complex wave propagation patterns, leading to more precise subsurface modeling. …”
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GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions by Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky

“…As HT experiments expand sRNA-target interaction data across conditions in various bacteria, our ML methods with features analysis offer promising advances in sRNA-target prediction and deeper insights into sRNA regulatory mechanisms across diverse species.…”
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Link Aggregation for Skip Connection–Mamba: Remote Sensing Image Segmentation Network Based on Link Aggregation Mamba by Qi Zhang, Guohua Geng, Pengbo Zhou, Qinglin Liu, Yong Wang, Kang Li

“…The semantic segmentation of satellite and UAV remote sensing imagery is pivotal for address exploration, change detection, quantitative analysis and urban planning. …”
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Near-Infrared Spectroscopic Study of Chlorite Minerals by Min Yang, Meifang Ye, Haihui Han, Guangli Ren, Ling Han, Zhuan Zhang

“…The mineral chemistry of twenty chlorite samples from the United States Geological Survey (USGS) spectral library and two other regions, having a wide range of Fe and Mg contents and relatively constant Al and Si contents, was studied via infrared (IR) spectroscopy, near-infrared (NIR) spectroscopy, and X-ray fluorescence (XRF) analysis. Five absorption features of the twenty samples near 4525, 4440, 4361, 4270, and 4182 cm−1 were observed, and two diagnostic features at 4440 and 4280 cm−1 were recognized. …”
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Prediction of hepatitis-C virus using statistical learning models by Shalini Kumari, Subhajit Das, Prashant Kumar Sonker, Agni Saroj, Mukesh Kumar

“…The empirical findings show that the RF model achieved the highest performance, with an accuracy of 96.71% with Brier score (BS) of 0.035 and Matthews correlation coefficient (MCC) of 0.849, an accuracy of 96.45% with BS of 0.031 and MCC of 0.837 and an accuracy 97.41% with BS of 0.026 and MCC of 0.947 when evaluated using all features, using selected features, and selected features with the application of the synthetic minority oversampling technique (SMOTE). …”
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Pilocytic astrocytoma: A rare case report by Harry Galuh Nugraha, PhD, Elsa Yoasta, MD, Mirna Sobana, MD, Hermin Aminah Usman, MD

“…The imaging result revealed a right cerebellar mass that was in accordance with pilocytic astrocytoma and obstructive hydrocephalus. Histopathologic analysis confirmed the diagnosis with the typical features of PA such as Rosenthal fibers and eosinophilic granular bodies. …”
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ADAPTATION OF “DRIED BLOOD DROP” METHOD FOR THERAPEUTIC DRUG MONITORING by V. I. Petrov, I. S. Anikeev, T. E. Zayachnikova, A. V. Strygin, A. M. Dotsenko

“…The features of the collection, storage and analysis of the “dried blood spot” samples have been revealed. …”
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Development and Key Technologies Outlook of Foreign Multi-Missile Collaborative Projects by Liu Shuangxi, Xu Xiaoping, Huang Wei, Yan Binbin, Lin Zehuai, Ma Wenhui

“…Firstly, an overview of current major multi-missile collaborative projects abroad is provided, followed by an analysis of their development trajectories and intrinsic features. …”
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High-throughput sequencing unravels placental vascular dysfunction and oxidative stress as mechanistic drivers of advanced maternal age-associated pregnancy by Xin Sun, Yao Chen, Feifei Hu, Yumeng Qiao, He Wu, Yao Su, Yue Hu, Jie Wu, Jie Wu, Mingli Huang

“…Weighted gene co-expression network analysis (WGCNA) was utilized to detect AMA-related modules and hub genes, which were subsequently validated via Western blotting, qPCR, and immunohistochemistry (IHC).ResultsAnalysis of placental pathology (n = 129) identified advanced maternal age (AMA) as an independent risk factor for maternal vascular malperfusion (MVM) (OR = 3.022, 95% CI 1.337–6.832). …”
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Nanotechnological Advancements and Contribution to Healthcare and Medication Industries by Naresh Hazari, Manoj Kumar Aedula, Shashank Kyadagiri, Anshul Reddy Nenturi, Balaji Yadav Golla

“…This study provides a complete analysis of nanotechnology applications together with its medical features and attributes. …”
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A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions by Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Md Abdus Samad, Imran Ashraf

“…Although clustering approaches have made a substantial contribution, more research is necessary to solve their limitations and fully realize their promise for data analysis.…”
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Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection by Kevin Thomas, Ahasanur Rahman, Wesam Rohouma, Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Amith Khandakar

“…This paper introduces a new dataset for comprehensive fault diagnosis of three-phase induction motors, featuring synchronized multi-sensor data collection. …”
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