Metabolomic profiling and biomarker identification for early detection and therapeutic targeting of doxorubicin-induced cardiotoxicity by Jingjing Ding, Jingjing Ding, Xianzhen Feng, Zhongqing Xu, Hong Xu

“…Key metabolites were assessed using a random forest algorithm, and ROC curves evaluated diagnostic value. …”
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Iron status among blood donors deferred due to low haemoglobin level by Kovač Mirjana, Erić Bojana, Stojneva-Istatkov Jelena, Lukić Vojislav, Milić Ana, Vukićević Dragana, Orlić Dušan, Tomić Branko

“…Based on our results, the determination of the algorithm in the iron deficiency detection is necessary, while the capillary method (HemoCue) represents a more convenient method for Hb testing prior to blood donation.…”
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Theoretical Proposals for Improving the Noise Immunity of Receiving Multi-Position Signals in Channels with Variable Parameters by S. V. Dvornikov, A. V. Pshenichnikov, A. F. Kryachko, M. R. Bibarsov, G. S. Bibarsova

“…Future research will address the development of scientific and practical proposals for improving the noise immunity of quadrature multi-position signals, including an algorithm and block diagram for compensating phase shifts introduced in communication channels; processing of the amplitude values of the signal, which assumes the difference in the paths in terms of frequency-polarization and determines the accuracy of eliminating phase distortions.…”
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Identifying characteristics of patients requiring proactive pharmaceutical interventions in the recovery period and assessing the effect of rehabilitation and drugs: a retrospectiv... by Megumi Yahara-Hotta, Tomoyuki Ogino, Kisako Higa, Moka Yamakawa, Toshiyuki Shikata, Yoshihiro Kanata, Kenji Ikeda, Atsushi Kinoshita

“…Decision tree analysis was performed using the four identified groups as objective variables and yielded eight nodes. The algorithm included length of hospital stay, sex, age, units of rehabilitation performed, and the MRCI-J score. …”
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On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology by A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov

“…The malfunctions of the elevator mechanical equipment related to the defective indices of the ropes are listed. There is a difference in the documentary fixation of defective indices and rejection rates of ropes of lifting structures.   …”
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Spironolactone Reduces the Risk of Death in Veterans With Heart Failure With Preserved Ejection Fraction by Katherine E. Kurgansky, Rachel Parker, Luc Djousse, David R. Gagnon, Jacob Joseph

“…We evaluated the effect of spironolactone use on all‐cause death and number of days hospitalized per year for heart failure or for any cause by fitting generalized estimating equation–based Poisson and negative binomial models. …”
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OPEN DUCTUS ARTERIOSUS IN PREMATURE INFANTS WITH EXTREMELY LOW AND VERY LOW BODY WEIGHT by Людмила Николаевна Игишева, Жанна Анатольевна Звягина, Елена Глебовна Цой, Андрей Владимирович Шабалдин, Тамара Михайловна Вакулова

“…The aim of the research – to identify significant factors affecting the postnatal functioning of PDA in premature infants with extremely low and very low body weight and to evaluate them from a manageability perspective. Materials and methods. …”
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Advancing patient care: Machine learning models for predicting grade 3+ toxicities in gynecologic cancer patients treated with HDR brachytherapy. by Andres Portocarrero-Bonifaz, Salman Syed, Maxwell Kassel, Grant W McKenzie, Vishwa M Shah, Bryce M Forry, Jeremy T Gaskins, Keith T Sowards, Thulasi Babitha Avula, Adrianna Masters, Jose G Schneider, Scott R Silva

“…Advances in computation, algorithms, and data availability have popularized the use of machine learning to predict patient outcomes. …”
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Comparison of cardiovascular risk assessment protocols and achievement of risk factor targets in patients with type 2 diabetes by Hui Guo, Hui Guo, Hui Guo, Huizhen Wu, Huizhen Wu

“…ObjectiveCompare the differences in the 10-year cardiovascular risk assessment results for patients with type 2 diabetes among various guidelines, as well as the attainment of target levels for primary cardiovascular risk factors.MethodThis study is a retrospective, real-world study that included patients with type 2 diabetes who were hospitalized at the Second Affiliated Hospital of Hebei North University from August 2023 until October 2023.This study evaluated the 10-year cardiovascular risk in patients with type 2 diabetes, as well as the attainment of target levels for blood pressure, blood glucose, and lipid levels.ResultThis study included a total of 200 hospitalized patients with type 2 diabetes, with a median age of 62.5 (57, 67), among which 97 (48.5%)were male. …”
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Method for Determining Igneous Rock Mineral Content Using Element Logging Data Based on Variational AutoEncoder by JIA Ruilong, PAN Baozhi, WANG Qinghui, LI Yan, GUAN Yao, WANG Xinru

“…Igneous rocks exhibit significant variations in mineral content due to differences in magma types and the environment in which they solidify, and the skeleton parameters of different lithology are obviously different. …”
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Hybrid deep learning model for density and growth rate estimation on weed image dataset by Anand Muni Mishra, Mukund Pratap Singh, Prabhishek Singh, Manoj Diwakar, Indrajeet Gupta, Anchit Bijalwan

“…According to the experimental results, our proposed algorithms achieved the best accuracy of 98.95%. The evaluation of financial misfortunes and impact due to weeds in farming is a critical perspective of considering which makes a difference in formulating suitable management methodologies against weeds.…”
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A Comparative Study of Rhythmic Complexity Measures in Music Performance by Cihan Yaygın, Ozan Baysal, Yavuz Buruk, Barış Bozkurt

“…The results demonstrated varying degrees of alignment between different scales and expert predictions under different conditions. …”
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Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

“…Then, we applied low-rank factorization to its transformer layers using various singular value decomposition algorithms at different compression rates. After that, we used probing tasks to analyze the changes in the internal representations and linguistic knowledge of the compressed models. …”
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Prediction of volcanic fractures based on prestack azimuthal anisotropy: A case study of LFS area in southern Songliao Basin by LI Ning,MIAO He,CAO Kaifang

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Radiomic Feature Extraction Based on Computed Tomography for Stroke Patients by Alamgir Hossain, Jolly Sultana, Shahed Hossain, Hafizur Rahman

“…To improve diagnosis, classification, and prediction for the best possible patient outcomes, this study investigates how radiomics might improve computed tomography (CT)-based stroke evaluation. Methodology: The research included 65 stroke patients from our two institutions from 2023 to 2024. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…This study examines the impact of various partitioning techniques on crime forecasting performance, comparing the traditional static division of the city into police districts with machine learning approaches, specifically density clustering algorithms, for detecting crime hotspots. The experimental evaluation, conducted on two real-world case studies, i.e. …”
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Reliability and Quality of Complex Systems by I.V. Peshkov, V.A. Zhigulin, N.A. Fortunova

“…The results obtained demonstrate the correctness of the operation of the obtained hardware and software models, and also indicate the effectiveness of the calibration method used – an increase in the resolution of the direction finding algorithms is observed on the graphs. This improvement is maintained at different angles of arrival of the signal and when the SNR changes. …”

Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction by Fabian Obster, Monica I. Ciolacu, Andreas Humpe

“…Further research should extend this analysis to unstructured data, explore different interpretability methods, and develop new metrics for evaluating the trade-off across diverse contexts.…”
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BLE phase-based ranging: accuracy and capability under strong Wi-Fi interference by Igor Kravets, Nazarii Kotliar, Oleksandr Karpin, Andriy Luchechko

“…This overlap often leads to interference that affects the performance of BLE systems. This work evaluates the effect of Wi-Fi interference on the phasebased ranging distance estimate for different BLE to Wi-Fi signal power ratios. …”
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Reference gene selection for qPCR is dependent on cell type rather than treatment in colonic and vaginal human epithelial cell lines. by Annette V Jacobsen, Bisrat T Yemaneab, Jana Jass, Nikolai Scherbak

“…In this study we used quantitative polymerase chain reaction data and applied four different algorithms (geNorm, BestKeeper, NormFinder, and comparative ΔCq) to evaluate eleven different genes as to their suitability as endogenous controls for use in studies involving colonic (HT-29) and vaginal (VK2/E6E7) human mucosal epithelial cells treated with probiotic and pathogenic bacteria. …”
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