Quantitative and qualitative gait assessments in Parkinson’s disease patients by Đurić-Jovičić Milica D., Jovičić Nenad S., Radovanović Saša M., Kresojević Nikola D., Kostić Vladimir S., Popović Mirjana B.

“…Based on these parameters, the algorithm performs classification of strides and identification of FOG types. …”
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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea by Rafael Rodrigues dos Santos, Matheo Bellini Marumo, Alan Luiz Eckeli, Helio Cesar Salgado, Luiz Eduardo Virgílio Silva, Renato Tinós, Rubens Fazan

“…As revealed by RF, the importance of features indicates that all feature modalities (HRV, SpO2, and anthropometric variables) contribute to the top 10 ranks.ConclusionThe present study demonstrates the feasibility of using classification models to detect the presence and severity of OSA using these indices. …”
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Differential expression of microRNAs and their target genes in cervical intraepithelial neoplasias of varying severity by T. A. Dimitriadi, D. V. Burtsev, E. A. Dzhenkova, D. S. Kutilin

“…The detected features of microRNA expression in subgroups of patients with CIN1–3 and CIS also affected the expression of their target genes (CDKN2A, MKI67, TOP2A and CD82), as well as the genes associated with them in common signaling pathways (PGK1, THBS4 (TSP4) and ECM1). …”
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Bridge Deformation Prediction Using KCC-LSTM With InSAR Time Series Data by Zechao Bai, Chang Shen, Yanping Wang, Yun Lin, Yang Li, Wenjie Shen

“…The approach initially combines two machine learning based clustering algorithms, K-Shape for better capturing shape features of time series and complete linkage hierarchical clustering combined with spatial geographic location captures the spatial characteristics of time series to derive clusters with unique spatiotemporal deformation behavior, improving clustering accuracy and spatiotemporal correlation. …”
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CNN-LSTM-Attention with PSO optimization for temperature and fault prediction in meat grinder motors by Yao Zhang, Pengfei Zhang, Wenchao Zhang, Mingwei Wang

“…Additionally, the PSO algorithm optimized the number of neurons and the learning rate in the model. …”
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Application of capsule networks based on reparameterized heterogeneous convolution in multi-scale heterogeneous environment matrix in predictive modeling of interdisciplinary compl... by Shuya Liu, Xiaoli Zhang

“…A dynamic parameterization mechanism adjusts the convolution kernel's weights and biases according to the input data's multi-scale and heterogeneous features. The capsule network's resilience to spatial transformations is enhanced through the application of a transformation matrix, thereby enabling each capsule's output to mirror alterations in features under various spatial transformations. …”
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Analysis of Regions of Homozygosity: Revisited Through New Bioinformatic Approaches by Susana Valente, Mariana Ribeiro, Jennifer Schnur, Filipe Alves, Nuno Moniz, Dominik Seelow, João Parente Freixo, Paulo Filipe Silva, Jorge Oliveira

“…Whole-exome sequencing (WES) improves HM by detecting ROHs and disease-causing variants. <b>Methods</b>: To streamline personalized multigene panel creation, using WES and ROHs, we developed a methodology integrating ROHMMCLI and HomozygosityMapper algorithms, and, optionally, Human Phenotype Ontology (HPO) terms, implemented in a Django Web application. …”
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Phase Demodulation of Short-Cavity Fabry–Perot Interferometric Acoustic Sensors With Two Wavelengths by Hao Liao, Ping Lu, Li Liu, Shun Wang, Wenjun Ni, Xin Fu, Deming Liu, Jiangshan Zhang

“…A signal-to-noise ratio (SNR) of &#x223C;53&#x00A0;dB is obtained at 80&#x00A0;Hz. These features make the sensor especially suitable for noise detection.…”
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Evaluation Value of Blood Biomarker Tests for Efficacy of EGFR-TKI in Advanced NSCLC Treatment by Rui FAN, Yonghui WU, Zhan GU, Yanbin PENG, Lixin WANG

“…CTCs were counted by enrichment-staining-computational algorithm to analyze malignant features, while ctDNA was assessed using digital PCR. …”
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Fuzzy logic-controlled three-phase dynamic voltage restorer for enhancing voltage stabilization and power quality by Abu Shufian, Sowrov Komar Shib, Durjoy Roy Dipto, Md Tanvir Rahman, Nasif Hannan, Shaikh Anowarul Fattah

“…The DVR, strategically placed downstream of a transformer within a three-phase supply network, detects voltage disturbances and compensates for deviations in real time. …”
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Assessing of a Radiation Therapy Sessionʼs Duration at the Stage of Pre-Radiation Preparation by M. N. Piatkevich, E. V. Titovich

“…The scope of this study was to create a mathematical model for calculating of a radiation therapy session duration during the pre-radiation planning stage.For dosimetric planning of radiation treatment the authors provided a formula and an algorithm for determining of a patientʼs irradiation session duration. …”
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Changes in objective characteristics in brain electrical activity in newborns as a function of birth weight by Anastasiya E. Runnova, Yuliya A. Zhuravleva, Evgeniy N. Egorov, Evgeniya E. Drozhdeva

“…The aim of the present study was to detect characteristic features of oscillatory electrical activity of the brain in the first day of postnatal life depending on the weight of newborns. …”
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The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography by Kristen M. Brubaker, Wayne L. Myers, Patrick J. Drohan, Douglas A. Miller, Elizabeth W. Boyer

“…The availability of light detection and ranging data (LiDAR) has resulted in a new era of landscape analysis. …”
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Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

“…Abstract Slope instability is a prevalent dynamic disaster encountered in the construction of geotechnical engineering projects. Intelligent detection and early warning systems serve as crucial measures for preventing and controlling slope instability. …”
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Depression Recognition Using Daily Wearable-Derived Physiological Data by Xinyu Shui, Hao Xu, Shuping Tan, Dan Zhang

“…We extracted static features such as the mean, variance, skewness, and kurtosis of physiological indicators like heart rate, skin conductance, and acceleration, as well as autoregressive coefficients of these signals reflecting the temporal dynamics. …”
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Enhancing LiDAR Mapping with YOLO-Based Potential Dynamic Object Removal in Autonomous Driving by Seonghark Jeong, Heeseok Shin, Myeong-Jun Kim, Dongwan Kang, Seangwock Lee, Sangki Oh

“…In this study, we propose an enhanced LiDAR-based mapping and localization system that utilizes a camera-based YOLO (You Only Look Once) algorithm to detect and remove dynamic objects, such as vehicles, from the mapping process. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…The dataset, consisting of 155 data points with over 1500 spectral features, underwent preprocessing involving normalization, Principal Component Analysis (PCA) for dimensionality reduction, and outlier detection using Cook’s Distance. …”
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Measuring Transducer for Air Gap Capacitive Sensor in Hydrogenerator by A. S. Levytskyi, I. O. Zaitsev, V. O. Bereznychenko, O. E. Sukhorukova

“…The aim of this paper was to develop a secondary measuring transducer providing accuracy and resolution for a capacitive gap sensor formed by coplanar parallel electrodes.It is shown that the reliability and safety of operation of powerful HG inextricably depend on the timely detection of their defects, especially during operation. …”
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THE ROLE OF DISPOSITION OF CONNECTING TISSUE IN THE RISE OF NONTRAUMATIC SUBARACHNOIDAL HEMORRHAGE IN YOUNG AGE by E. V. Petrova, T. F. Popova, I. A. Gribacheva, G. K. Taitubayeva

“…The obtained data can become a basis for developing an algorithm for screening physical examination of patients with an increased risk of aneurysmal hemorrhage.…”
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Wound imaging software and digital platform to assist review of surgical wounds using patient smartphones: The development and evaluation of artificial intelligence (WISDOM AI stud... by Melissa Rochon, Judith Tanner, James Jurkiewicz, Jacqueline Beckhelling, Akuha Aondoakaa, Keith Wilson, Luxmi Dhoonmoon, Max Underwood, Lara Mason, Roy Harris, Karen Cariaga

“…<h4>Conclusion</h4>The AI algorithm not only met but surpassed the expected sensitivity for identifying priority cases, showing high reliability. …”
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