High-fidelity tissue super-resolution imaging achieved with confocal2 spinning-disk image scanning microscopy by Qianxi Liang, Wei Ren, Boya Jin, Liang Qiao, Xichuan Ge, Yunzhe Fu, Xiaoqi Lv, Meiqi Li, Peng Xi

“…A digital micromirror device (DMD) is employed for sparse multifocal illumination, combined with a dynamic pinhole array pixel reassignment (DPA-PR) algorithm for ISM super-resolution reconstruction, forming the second confocal level. …”
Get full text

Identification of a Gene Expression Signature to Predict the Risk of Abdominal Aortic Aneurysm in Psoriasis Patients by Lyu X, Tang Q, Zou Y, Liu X

“…The gene signature generated by these genes demonstrated high accuracy in predicting psoriasis and AAA. Using five algorithms for immune infiltration analysis, an abundance of inflammatory cells was observed in high-risk subgroups. …”
Get full text

Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS by Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao

“…Next, based on the YOLO v10 algorithm, this paper removes redundant detection layers to enhance the model’s ability to capture specific features and further reduce the number of parameters. …”
Get full text

Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach by Nayan Dash, Md Abul Bashar, Jeonghan Lee, Raju Dash

“…Subsequently, focusing only on genes identified through the inclusive threshold, we employed 19 diverse ML techniques to explore the common genes that contributed to the top three selected ML algorithms and the shared genes that had an impact on the ML algorithms and were observed in the meta-analysis using the stringent condition were selected. …”
Get full text

Research on strategies for enhancing drug knowledge dissemination on Chinese social media WeChat public accounts based on text mining technology by Xihui Yu, Xiaotong Chen, Xia Yan, Xuejun Wu, Yizhi Zhang, Xiajiong Luo, Weihao Ma, Hongbo Fu, Yaofeng Zhang

“…The public’s interest in topics changed from drug side effects to practical drug usage issues, as seen by the keyword time series graph.ConclusionPharmaceutical professionals may more effectively discover hot themes in the industry by combining the TF-IDF algorithm with VOSviewer visualization analysis and LDA and BERTopic in the text mining. …”
Get full text

Performance evaluation and multi-objective optimization of EDM parameters for Ti6Al4V using different tool electrodes by Manoj Jagdale, Masuk Abdullah, Nitin Ambhore, Atul Kulkarni, Rakesh Chaudhari, Jay Vora, József Menyhárt

“…A minor adequate deviance was observed between the TLBO algorithm’s predicted and actual findings. Scanning electron microscopy (SEM) analysis was conducted to evaluate surface morphology. …”
Get full text

Aerodynamic model identification of supersonic aircraft using Bayesian approach-based Box–Jenkins structure by Muhammad Fawad Mazhar, Muhammad Wasim, Manzar Abbas, Imran Shafi, Jamshed Riaz, Tae-hoon Kim, Imran Ashraf

“…This study discovers a decoupled longitudinal aerodynamic model of an open-loop supersonic aircraft using a novel algorithm that blends grey-box modeling architecture i.e. …”
Get full text

Validation of a data-driven multicomponent T2 analysis for quantifying myelin content in the cuprizone mouse model of multiple sclerosis. by Noam Omer, Ella Wilczynski, Sharon Zlotzover, Coral Helft, Tamar Blumenfeld-Katzir, Noam Ben-Eliezer

“…<h4>Conclusion</h4>The proposed data-driven algorithm provides a reliable tool for mapping myelin content on preclinical scanners, allowing precise classification between healthy and demyelinated tissues in cuprizone mouse model of multiple sclerosis.…”
Get full text

A Heuristic Approach to Competitive Facility Location via Multi-View K-Means Clustering with Co-Regularization and Customer Behavior by Thanathorn Phoka, Praeploy Poonprapan, Pornpimon Boriwan

“…An empirical evaluation on a real-world dataset from San Francisco demonstrates that the proposed approach, using optimal co-regularization parameters, achieves a total runtime of approximately 4.00 s—representing a 99.34% reduction compared to the full CFLBP-CB model (608.58 s) and a 99.32% reduction compared to a genetic algorithm (585.20 s). Concurrently, it yields an overall profit of 16,104.17, which is an approximate 0.72% increase over the Direct CFLBP-CB profit of 15,988.27 and is only 0.21% lower than the genetic algorithm’s highest profit of 16,137.75. …”
Get full text

Logistic regression model for predicting failure of dual antihypertensive therapy: a prospective comparative non-randomized clinical trial by T. O. Okorokova, O. N. Kryuchkova

“…However, it often fails to achieve the target blood pressure levels. An approved algorithm for predicting the failure of dual antihypertensive therapy is still to be developed. …”
Get full text

Cytomegalovirus infection in immunocompetent pregnant women: clinical manifestations and management tactics by N. V. Rogozina, V. V. Vasil’ev, N. S. Bezverhaja, R. A. Ivanova, G. M. Ushakova, E. S. Romanova

“…Based on the literature data and obtained by analyzing management tactics of the observed pregnant women, an algorithm for the management of pregnant women with cytomegalovirus infection was created.Conclusion: the study made it possible to substantiate algorithm of diagnosis and tactics management of cytomegalovirus infection in immunocompetent pregnant women and gave recommendations for obstetricians and gynecologists about alertness regarding cytomegalovirus infection.…”
Get full text

Autogenous shrinkage and early cracking of massive foundation slabs by Nesvetaev Grigory, Koryanova Yulia, Yazyev Batyr

“…An important task is to improve the algorithm for calculating temperature-shrinkage stresses due to temperature gradients and autogenous shrinkage, taking into account the kinetics of heat dissipation of concrete, heat exchange conditions, and ambient temperature. …”
Get full text

Privacy-Preserving Diabetes and Heart Disease Prediction via Federated Learning and WCO by Sachikanta Dash, Sasmita Padhy, Preetam Suman, Sandip Mal, Lokesh Malviya, Amrit Suman, Jaydeep Kishore

“…This research employed SMOTE methods to tackle imbalanced classes, utilizing various classification algorithms such as Random Forest, XGBoost, Multilayer Perceptron, Gradient Boost, and AdaBoost. …”
Get full text

A Mental Approach to Digital Transformation of Education by N. I. Pak

“…It provides a real opportunity to implement the principles of person-centered learning, for example, through the “transparent” box model, mental learning primitives, inverted resources and transforming resources, as well as mental technologies. The method of algorithmic primitives for the development of structural thinking is described. …”
Get full text

Мethods of Machine Learning in Ophthalmology: Review by D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov

“…Machine learning includes models and algorithms that mimic the architecture of biological neural networks. …”
Get full text

Characterizing individual and methodological risk factors for survey non-completion using machine learning: findings from the U.S. Millennium Cohort Study by Nate C. Carnes, Claire A. Kolaja, Crystal L. Lewis, Sheila F. Castañeda, Rudolph P. Rull, for the Millennium Cohort Study Team

“…We then examined the effect of individual characteristics and survey attributes on survey non-completion. Results This algorithm achieved 99% accuracy and showed that 0.29% of follow-up respondents and 15.43% of new enrollees were survey non-completers. …”
Get full text

Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks by Aya M. A. Heikal, Shady H. E. Abdel Aleem, Ragab A. El-Sehiemy, Almoataz Y. Abdelaziz

“…It ensures energy efficiency while sustaining system flexibility, adapting to frequent load dynamics and intermittent renewable energy supply. The algorithm minimizes electrical and thermal deviations, achieving a balance of flexible operation with efficient energy management. …”
Get full text

High‑frequency skin ultrasound possibilities in terms of diagnosing liver cirrhosis by D. Yu. Shestakova, A. V. Borsukov

“…To assess the potential of using high‑frequency ultrasound examination of the palm skin in a comprehensive diagnostic algorithm for patients with liver cirrhosis.Patients and methods. …”
Get full text

Identification of anoikis-related genes in heart failure: bioinformatics and experimental validation by Lina Zhang, Jianjun Gu, Yan Jiang, Juan Xue, Ye Zhu

“…Subsequently, two machine learning (ML) algorithms were employed to identify hub DEARGs: least absolute shrinkage and selection operator (LASSO) and random forest (RF). …”
Get full text

FPGA Acceleration With Hessian-Based Comprehensive Intra-Layer Mixed-Precision Quantization for Transformer Models by Woohong Byun, Jongseok Woo, Saibal Mukhopadhyay

“…Coupled with the proposed algorithm and dataflow optimization, it enables on-chip storage of all necessary parameters, minimizing off-chip memory access. …”
Get full text