Use of Aposteriori Information in the Implementation of Radar Recognition Systems Using Neural Network Technologies by Dmitrii F. Beskostyi, Sergei G. Borovikov, Yurii V. Yastrebov, Ilya A. Sozontov

“…Introduction. The current need to obtain relevant, complete and reliable information about airborne objects has led to the continuous improvement of modern radar recognition systems (MRRS) as part of control systems. …”
Get full text

Monitoring Pine Wilt Disease Using High-Resolution Satellite Remote Sensing at the Single-Tree Scale with Integrated Self-Attention by Wenhao Lv, Junhao Zhao, Jixia Huang

“…This study introduces several advanced self-attention algorithms into the task of satellite-based monitoring of pine wilt disease to enhance detection performance. …”
Get full text

Examining Car Accident Prediction Techniques and Road Traffic Congestion: A Comparative Analysis of Road Safety and Prevention of World Challenges in Low-Income and High-Income Cou... by Yetay Berhanu, Esayas Alemayehu, Dietrich Schröder

“…The study evaluates various approaches such as logistic regression, decision tree, random forest, deep neural network, support vector machine, random forest, K-nearest neighbors, Naïve Bayes, empirical Bayes, geospatial analysis methods, and UIMA, NSGA-II, and MOPS algorithms. The research identifies current challenges, prevention ideas, and future directions for preventing accidents and congestion on the road network. …”
Get full text

Dna-storalator: a computational simulator for DNA data storage by Gadi Chaykin, Omer Sabary, Nili Furman, Dvir Ben Shabat, Eitan Yaakobi

“…Conclusions The suggested computational DNA storage simulator grants researchers from all fields an accessible complete simulator to examine new biological technologies, coding techniques, and algorithms for current and future DNA storage systems. …”
Get full text

Spectroscopy-Based Methods and Supervised Machine Learning Applications for Milk Chemical Analysis in Dairy Ruminants by Aikaterini-Artemis Agiomavriti, Maria P. Nikolopoulou, Thomas Bartzanas, Nikos Chorianopoulos, Konstantinos Demestichas, Athanasios I. Gelasakis

“…Milk analysis is critical to determine its intrinsic quality, as well as its nutritional and economic value. Currently, the advancements and utilization of spectroscopy-based techniques combined with machine learning algorithms have made the development of analytical tools and real-time monitoring and prediction systems in the dairy ruminant sector feasible. …”
Get full text

The application of machine learning in clinical microbiology and infectious diseases by Cheng Xu, Ling-Yun Zhao, Cun-Si Ye, Ke-Chen Xu, Ke-Chen Xu, Ke-Yang Xu

“…Machine learning in the field of microbiology mainly adopts supervised learning and unsupervised learning, involving algorithms from classification and regression to clustering and dimensionality reduction. …”
Get full text

Cathepsin G promotes arteriovenous fistula maturation by positively regulating the MMP2/MMP9 pathway by Lemei Hu, Changqing Zheng, Ying Kong, Zhiqing Luo, Fengzhang Huang, Zhigang Zhu, Quhuan Li, Ming Liang

“…Background Arteriovenous fistula (AVF) is currently the preferred vascular access for hemodialysis patients. …”
Get full text

Practical application of national clinical guidelines for the management of gout (preliminary data) by M. N. Chikina, M. S. Eliseev, O. V. Zhelyabina

“…This investigation was a prospective single-center study. It has been currently included 54 patients (91% males) with gout. …”
Get full text

High precision, high time-cadence measurements of the MgII index of solar activity by the GOES-R Extreme Ultraviolet Irradiance Sensor 2: EUVS-C initial flight performance by McClintock William E., Snow Martin, Eden Thomas D., Eparvier Francis G., Machol Janet L., Woodraska Donald L.

“…Each EUVS-C currently operating (GOES-16, -18, and -19) is providing high time-cadence (3 s), high precision (1 part in 104) Index determinations. …”
Get full text

Interpretable XGBoost model identifies idiopathic central precocious puberty in girls using four clinical and imaging features by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

“…Abstract Background The study aimed to develop interpretable machine learning models for the identification of idiopathic central precocious puberty (ICPP) in girls, without the need for the expensive and time-consuming gonadotropin-releasing hormone (GnRH) stimulation test, which is currently the gold standard for diagnosing ICPP. Methods A total of 246 female paediatric patients who had secondary sexual characteristics before 8 years old and had taken a GnRH stimulation test were randomly divided into a training set (172 patients, 70%) and a validation set (74 patients, 30%). …”
Get full text

The Measurement of Vital Signs in Pediatric Patients by Lifelight Software in Comparison to the Standard of Care: Protocol for the VISION-Junior Observational Study by Gauri Misra, Simon Wegerif, Louise Fairlie, Melissa Kapoor, James Fok, Gemma Salt, Jay Halbert, Ian Maconochie, Niall Mullen

“…Early data will be used to refine the algorithms. A separate dataset will be retained to test the performance of the app against predefined targets. …”
Get full text

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

“…Background. Currently, little is known about the specific microRNAs involved in the development of cervical intraepithelial neoplasia (CIN1, 2, 3) and the transition to cancer in situ (CIS). …”
Get full text

Factors influencing the effectiveness of SM-VCE method in solving 3D surface deformation by Xupeng Liu, Guangyu Xu, Mingkai Chen, Tengxu Zhang

“…The latter type applies to earthquakes that do not cause surface ruptures and have extensive blind faults. Currently, most research focuses on improving the above types of methods. …”
Get full text

Pemilihan Penerima Beasiswa Program Kuliah Gratis Kalteng Berkah Menggunakan Algoritma Simple Additive Weighting (SAW) di Politeknik Muara Teweh by Herry Hermawan

“…The purpose of this study is to analyze the application of the SAW algorithm in the selection of the Kalteng Berkah Free Lecture Scholarship Program at the Muara Teweh Polytechnic, with the hope of accelerating and simplifying the selection process. …”
Get full text

Diagnostic Value of Glycosylated Extracellular Vesicle microRNAs in Gastric Cancer by Wang S, Ma C, Ren Z, Zhang Y, Hao K, Liu C, Xu L, He S, Zhang J

“…The signatures were screened in a discovery cohort of GC patients (n=55) and non-disease controls (n=46) using an integrated process, including high-throughput sequencing technology, screening using a complete bioinformatics algorithm, validation using RT-qPCR, and evaluation by constructing a diagnostic model. …”
Get full text

Persistence in the socio-economic development of the regions of the Siberian Federal District by Misak S. Arzumanyan

“…The concept of «local average» is introduced as the most important component of the algorithm for calculating the persistence effect. In the writings of management economists, the term «persistence» has not been mentioned before; there are no sources characterizing the degree of study of this phenomenon in relation to ensuring sustainable socio-economic development of territories. …”
Get full text

Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025 by Kelemua Aschale Yeneakal, Gizaw Hailiye Teferi, Temesgen T. Mihret, Abraham Keffale Mengistu, Sefefe Birhanu Tizie, Maru Meseret Tadele

“…Despite the expanded availability of ART, non-adherence remains a series problem, leads increased viral load, a decline CD4 cell count, and the development of drug resistance. HIV care is currently showing promise with the use of machine learning algorithms for early prediction of future non-adherence. …”
Get full text

COVID-19: WAYS TO IMPROVE TREATMENT OUTCOMES. TRANSFORMING PERCEPTIONS ABOUT INTENSIVE CARE OF CORONAVIRUS INFECTION by Dmytro D. Diachuk, Oleg L. Ziukov, Volodymyr I. Cherniy, Oleksandr V. Naumenko, Anatolii I. Denysenko

“…Given the lack of effective specific antiviral therapy for COVID-19, the main focus is currently on symptomatic and respiratory support. Almost all hospitalized patients are recommended to undergo oxygen therapy, while the WHO recommended extracorporeal membrane oxygenation for patients with refractory hypoxemia. …”
Get full text

A comprehensive review of remote sensing techniques for monitoring Ulva prolifera green tides by Xiaomeng Geng, Xiaomeng Geng, Xiaomeng Geng, Huiru Li, Huiru Li, Le Wang, Weidong Sun, Yize Li

“…Additionally, it identifies the limitations and unresolved challenges in current approaches, such as constraints on data resolution, algorithmic biases, and environmental variability. …”
Get full text

Assessing Climate and Land-Use Change Scenarios on Future Desertification in Northeast Iran: A Data Mining and Google Earth Engine-Based Approach by Weibo Yin, Qingfeng Hu, Jinping Liu, Peipei He, Dantong Zhu, Abdolhossein Boali

“…Six remote sensing indices were selected to model desertification using four machine learning algorithms: Random Forest (RF), Support Vector Machine (SVM), Gradient Boosting Machine (GBM), and Generalized Linear Models (GLM). …”
Get full text