Traffic Status Evolution Trend Prediction Based on Congestion Propagation Effects under Rainy Weather by Yongjie Xue, Rui Feng, Shaohua Cui, Bin Yu

“…In rainy weather, the accurate prediction of traffic status not only helps road traffic managers to formulate traffic management methods but also helps travelers design travel routes and even adjust travel time. …”
Get full text

Intelligent Optimization of OSPF Path Selection Using Machine Learning Models for Adaptive Network Routing by Rebeen Rebwar Hama Amin

“…Four important ML functions namely traffic forecast, anomaly detection, failure prediction, and dynamic cost optimization—have been used to improve OSPF performance. …”
Get full text

Socio-demographic disparities in global trends of lip and oral cavity neoplasms from 1990 to 2021 by Amr Sayed Ghanem, Ágnes Tóth, Attila Csaba Nagy

“…We analyzed annual incidence, mortality, and DALYs across 204 countries, using age-standardized rates and the Socio-demographic Index (SDI) to assess development-related impacts. Statistical methods included Kruskal–Wallis tests, linear regression, joinpoint regression for trends, and Exponential Smoothing for forecasts (2022–2030), with analyses conducted in STATA and Python, and p < 0.05 as significant. …”
Get full text

Attribution of the Increased Intensity of Upper‐Level Hadley Circulation Under Climate Change by Bo Sun, Yi Zheng, Wanling Li, Siyu Zhou, Jiarui Cai, Huixin Li, Shengping He, Huijun Wang

Get full text

Current situation in relation to parasites and measures of struggle against them in Russia and cis countries (based on materials of coordinating reports) by A. V. USPENSKY, E. I. MALAHOVA, T. A. YERSHOVA

“…Furthermore for the first time metacercariae opisthorchis, mesocercariae alaria and larvae of trematodes using a method of peptolysis are released. Techniques for axonomic identifying of genotype of northern isolates of Trichinella spp. on the territory of RF are devel- oped that allows to complete the system characteristic and to detect phylogenetic relationship inside different taxonomic groups. …”
Get full text

Advancements in digital drilling technology for deep engineering: a review by Keqi Fan

“…Importantly, the issues of current research were summarized on the digital drilling method to provide a forecast on the development in deep rock engineering. …”
Get full text

AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis by João Paulo Costa, José Torres Farinha, Mateus Mendes, Jorge O. Estima

“…The results obtained from the testing phase reveal a high level of accuracy in predicting belt failures, with the developed models consistently outperforming traditional methods. The incorporation of LSTM networks and swarm intelligence algorithms led to a significant improvement in predictive capabilities, allowing for the early detection of degradation patterns and timely intervention. …”
Get full text

An innovative maximum power point tracking for photovoltaic systems operating under partially shaded conditions using Grey Wolf Optimization algorithm by Muhannad J. Alshareef

“…Swarm optimization strategies have been employed to detect the GMPP; however, these methods are associated with an unacceptable amount of time to reach convergence. …”
Get full text

Exploring the Limitations of Federated Learning: A Novel Wasserstein Metric-Based Poisoning Attack on Traffic Sign Classification by Suzan Almutairi, Ahmed Barnawi

“…Extensive experiments show that WMPA outperforms existing model poisoning attacks and can compromise robust aggregation methods. For example, in a cross-silo setting using Krum, WMPA reduces the FL model&#x2019;s accuracy from 70% to 30.1%. …”
Get full text

HAEMOSTASIS SYSTEM DISORDERS IN CYSTIC AND NIDAL LIVER IMPAIRMENT IN CHILDREN AND THEIR PHARMACOTHERAPY OPPORTUNITIES by V.A. Dudarev, I.V. Kirgizov, Sh.R. Dzhabborov, I.A. Shishkin

“…This method makes the illness forecast more predictable and manageable.Key words: haemostasis, liver, cystic and nidal liver impairment, children.…”
Get full text

Population immunity to SARS-CoV-2 virus in residents of the Irkutsk Region in the dynamics of the epidemic by S. V. Balakhonov, V. I. Dubrovina, M. V. Chesnokova, D. D. Bryukhova, N. O. Kiseleva, A. B. Pyatidesyatnikova, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, T. A. Gavrilova, A. A. Seledtsov

“…In the fight against this viral disease, an important role is assigned to the study of the development of population immunity to the SARSCoV-2 virus, which will make it possible to assess the dynamics of seroprevalence and the formation of post-infectious humoral immunity, forecasting the development of the epidemiological situation, elucidating the characteristics of the epidemic process, and will also contribute to planning activities for specific and non-specific prevention of the disease.The aim: to determine the dynamics of population immunity to SARS-CoV-2 among the population of the Irkutsk region during the COVID-19 pandemic.Materials and methods. …”
Get full text

An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach by Tengfei Niu, Shiwei Cao, Jingyu Cheng, Yu Zhang, Zitong Zhang, Ruiling Xue, Jingxi Ma, Qian Ran, Xiaobing Xian, Xiaobing Xian

“…The objective of this research is to formulate and validate a predictive model that forecasts the probability of developing anxiety symptoms in elderly Chinese individuals with abdominal obesity.MethodThis research’s model development and internal validation encompassed 2,427 participants from the 2017-2018 Study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). …”
Get full text

Methodology for assessing the business activity index of an enterprise based on the analysis of the business environment by Glukhov Vladimir, Kolomysova Mariia

“…An overview of common business activity indices is presented, methods for their calculation are given, a generalized method for calculating the consolidated business activity index is presented, the role of business activity as an indicator of economic system development is shown; indicators for assessing business activity are systematized in relation to the specifics of entrepreneurial activity. …”
Get full text

Online Pre-Diagnosis of Multiple Faults in Proton Exchange Membrane Fuel Cells by Convolutional Neural Network Based Bi-Directional Long Short-Term Memory Parallel Model with Atten... by Junyi Chen, Huijun Ran, Ziyang Chen, Trevor Hocksun Kwan, Qinghe Yao

“…To address these gaps, this study proposes an online multi-fault prediction framework integrating three novel contributions: (1) a sensor fusion strategy leveraging existing thermal/electrochemical measurements (voltage, current, temperature, humidity, and pressure) without requiring embedded stack sensors; (2) a real-time sliding window mechanism enabling dynamic prediction updates every 1 s under variable load conditions; and (3) a modified CNN-based Bi-LSTM parallel model with attention mechanism (ConvBLSTM-PMwA) architecture featuring multi-input multi-output (MIMO) capability for simultaneous flooding/air-starvation detection. Through comparative analysis of different neural architectures using experimental datasets, the optimized ConvBLSTM-PMwA achieved 96.49% accuracy in predicting dual faults 64.63 s pre-occurrence, outperforming conventional LSTM models in both temporal resolution and long-term forecast reliability.…”
Get full text

Correction of Disturbances Influence on Results of Elongated Objects's Probe Microscopy Using Predictive Relief Estimates by P. V. Gulyaev

“…It has been established that control information in the form of forecast estimates can be used in image processing in probe microscopy to detect and partially eliminate disturbances. …”
Get full text

Educating the digital generation: the role of virtual communities by E. M. Kharlanova, N. V. Sivrikova, S. V. Roslyakova, E. G. Chernikova

“…The authors employed the methods of mathematical data processing: Somers’ D-test, Kramer’s V-test, CHAID (Chi Squared Automatic Interaction Detection) analysis.                …”
Get full text

Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

“…Additionally, it effectively reduces the inherent overfitting of these methods, removing the necessity for a complex hyperparameter selection process.…”
Get full text

Epidemiological Manifestation of Combined Natural Foci of Tularemia, Leptospirosis and Hemorrhagic Fever with Renal Syndrome: Mixed Infections by T. N. Demidova, N. E. Sharapova, V. V. Gorshenko, T. V. Mikhailova, A. S. Semihin, A. E. Ivanova

“…A comprehensive study of rodents captured in the natural foci of the Central Federal District and the Northwestern Federal District for tularemia by serological, molecular genetic and biological methods was carried out. Statistical data on the incidence of tularemia, leptospirosis and HFRS in the territory of the Russian Federation for 2015-2020 are presented. …”
Get full text

Lessons Learned from the COVID-19 Pandemic: Simulation of the Tuberculosis Epidemic as a Function of Population Coverage with Screening by A. A. Starshinova, I. F. Dovgalyuk, N. N. Osipov, D. A. Kudlay

“…The COVID-19 pandemic has led to the discontinuation of many support programs for tuberculosis patients worldwide, and lower coverage of population with screening for tuberculosis.The objective: To build a model describing the spread of tuberculosis depending on the population coverage with preventive screening, and to obtain a long-term forecast of the infection spread using this model.Subjects and Methods. …”
Get full text

Hyperspectral Imaging for Phenotyping Plant Drought Stress and Nitrogen Interactions Using Multivariate Modeling and Machine Learning Techniques in Wheat by Frank Gyan Okyere, Daniel Kingsley Cudjoe, Nicolas Virlet, March Castle, Andrew Bernard Riche, Latifa Greche, Fady Mohareb, Daniel Simms, Manal Mhada, Malcolm John Hawkesford

“…Hyperspectral imaging (HSI) provides a non-invasive method in plant phenotyping, allowing the long-term monitoring of plant health due to sensitivity to subtle changes in leaf constituents. …”
Get full text