CLINICAL AND MORPHOLOGICAL APPROACH TO DIAGNOSIS OF "IDIOPATHIC" ARRHYTHMIAS AND DILATED CARDIOMYOPATHY SYNDROME AS A BASIS FOR DIFFERENTIATED THERAPY. Part I (Diagnostics) by O. V. Blagova, A. V. Nedostup, E. A. Kogan, V. A. Sulimov, Yu. V. Osipova, V. P. Sedov, A. G. Kupriyanova, V. A. Zaydenov, A. E. Donnikov, V. V. Kadochnikova

“…The algorithm of noninvasive nosological diagnostics was developed; it allowed to verify diagnosis in 95% of IA patients and 89% DCM patients.Conclusion. …”
Get full text

Research on optimization technology of new pipeline design for regional natural gas pipeline network by Jingyi CUI, Kunfeng ZHU, Cuixian GAO, Li GU, Jing REN, Yuxing LI, Wuchang WANG

“…Secondly, a particle swarm optimization algorithm was utilized for model solution optimization. …”
Get full text

A comparative study of different kinematic wake models within metaheuristics for efficient wind farm layout optimization by Antonio J. Romero-Barrera, David Casillas-Pérez, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Alvaro Paricio-Garcia, Miguel A. Lopez-Carmona, Juan Blanco-Sancho, Sujan Ghimire, Ravinesh C. Deo, Antonio J. Caamaño, Sancho Salcedo-Sanz

“…In recent years, metaheuristic algorithms have become pivotal in tackling complex non-linear optimization, including wind farm layout optimization (WFLO) problems for energy-generating wind farms. …”
Get full text

Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery by Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz, Mihai Daniel Niţă

“…This study evaluates the performance of three machine learning algorithms—Random Forest (RF), Classification and Regression Trees (CART), and the Gradient Boosting Tree Algorithm (GBTA)—in predicting the forest attributes from Sentinel-2 satellite imagery. …”
Get full text

Results of parallel independent visual evaluation of projective cover of the bottom during macrophyte assesment survey by A. A. Dulenin

“…For successful implementation of visual surveys, its algorithm for various environmental conditions is developed and supplemented with necessary instructions.…”
Get full text

Identification of the metabolic protein ATP5MF as a potential therapeutic target of TNBC by Kaiyan Chen, Yingchun Wu, Linfeng Xu, Changyong Wang, Jinqiu Xue

“…Methods For this research, the scRNA data was obtained from the GEO database, while the transcriptome data was obtained from the TCGA and METABRIC databases. …”
Get full text

Optimal Low-Thrust Transfers Between Relative Planar and Spatial Quasi-Satellite Orbits in the Earth–Moon System by Nishanth Pushparaj, Naoki Hiraiwa, Yuta Hayashi, Mai Bando

“…The method employs a refined beam search strategy to construct diverse initial guess chains, which are then optimized via a successive convexification algorithm tailored for the spatial dynamics of QSOs. …”
Get full text

Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients by Xuefeng Sun, Zilin Wang, Yuqing Song, Deyu Cong, Shu Sun, Xinye Zhang, Ye Zhang, Hongshi Zhang

“…Abstract Background Insomnia is a common complication in ischemic stroke convalescence (ISC) patients. While the interaction of clinical, psychological, and social factors remains unclear, developing a predictive model system is urgently needed. …”
Get full text

Validation of Cross-Calibration for the Time-Series of HJ-2A/B CCD Sensor Based on Baotou Sandy Site by Yidan Chen, Jie Han, Yutong Li, Yong Xie, Wen Shao, Aonan Hao

“…When compared with the measured reflectance from the Baotou sandy site, the results of this study show better consistency with the 1:1 line and have average relative errors of less than 8.07%, while the OCCs have average relative errors of less than 34.65%. …”
Get full text

Intracranial volume segmentation for neurodegenerative populations using multicentre FLAIR MRI by Justin DiGregorio, Giordano Arezza, Adam Gibicar, Alan R. Moody, Pascal N. Tyrrell, April Khademi

“…In this work, we develop and evaluate 2 traditional and 8 deep learning algorithms for ICV segmentation in FLAIR MRI. Training and testing were completed on 175 ​vol (8317 images) from 2 dementia and 1 vascular disease cohort. …”
Get full text

Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory Response Syndrome Following Pediatric Percutaneous Nephrolithotripsy by Abudurexiti N, Liu B, Wang S, Dong Q, Batuer M, Liu Z, Li X

“…The Synthetic Minority Over-sampling Technique (SMOTE) was applied to overcome class imbalance in the training set, while feature selection was performed using a combination of LASSO regression and Boruta algorithms. …”
Get full text

Pixel-Based Change Detection in Moving-Camera Videos Using Twin Convolutional Features on a Data-Constrained Scenario by Luiz G. C. Tavares, Allan F. Da Silva, Rafael Padilla, Lucas A. Thomaz, Sergio L. Netto, Eduardo A. B. Da Silva

“…This work proposes the Pixel-Based Change Detection using a Moving Camera (PBCD-MC) algorithm for detecting anomalies in a cluttered industrial site. …”
Get full text

The dynamics of lowland river sections of Danube and Tisza in the Carpathian basin by Imre M. Jánosi, Imre M. Jánosi, István Zsuffa, István Zsuffa, Tibor Bíró, Boglárka O. Lakatos, Boglárka O. Lakatos, András Szöllősi-Nagy, Zsolt Hetesi, Zsolt Hetesi

“…Extracted periods by the Lomb-Scargle algorithm (suitable for unevenly sampled time series) and the long-time means indicate the expected annual seasonality. …”
Get full text

O2O-PLB: A One-to-One-Based Optimizer With Priority and Load Balancing Mechanism for Resource Allocation in Fog-Cloud Environments by V. C. Bharathi, S. Syed Abuthahir, Monelli Ayyavaraiah, G. Arunkumar, Usama Abdurrahman, Sardar Asad Ali Biabani

“…Based on the experimental results, the O2O-PLB algorithm significantly outperforms the benchmark algorithms across essential performance metrics at varying task loads. …”
Get full text

Satellite and ground-based data to monitor urban heat islands. Cases of study: polish and italian cities by E. Głowienka, E. S. Malinverni, M. Kucza, K. Michałowska, M. Sanità

“…The study employs object-based classification using a Random Forest (RF) algorithm, enabling a detailed assessment of land surface temperature (LST) variations across different land cover types.…”
Get full text

The immunosuppressive role of VSIG4 in colorectal cancer and its interaction with the tumor microenvironment by H. G. Zhang, W. R. Yao, Z. Y. Zhou, L. Liu

“…The Seurat package was employed for clustering single-cell data, while the “Monocle2” algorithm was used to perform pseudo-time analysis on the differentiation trajectory of macrophages. …”
Get full text

Synergizing neural networks with multi-objective thermal exchange optimization and PROMETHEE decision-making to improve PCM-based photovoltaic thermal systems by Yongxin Li, Ali Basem, As'ad Alizadeh, Pradeep Kumar Singh, Saurav Dixit, Hanaa Kadhim Abdulaali, Rifaqat Ali, Pancham Cajla, Husam Rajab, Kaouther Ghachem

“…This study addresses the integration of machine learning (ML) and artificial intelligence (AI) for optimizing photovoltaic-thermal (PVT) systems. While ML modeling has become prevalent in this field, a significant gap remains in combining ML with AI-based optimization and decision-making methods to enhance PVT performance. …”
Get full text

Kombinasi Gifshuffle, Enkripsi AES dan Kompresi Data Huffman untuk Meningkatkan Keamanan Data by Dedi Darwis, Rizky Prabowo, Nurul Hotimah

“…The gifsuffle method will be combined with the huffman algorithm to multiply the transmitted data. This research successfully combined AES cryptography method with gifsuffle steganography method. …”
Get full text

Overlap syndrome of atopic dermatitis and allergic contact dermatitis: metabolic patterns by L.V. Konovalenko, V.I. Litus, Yu.I. Komisarenko, O.I. Litus

“…Conclusions. The proposed algorithm for the management of patients with AD and ACD OS who have metabolic syndrome and prediabetes is effective, as evidenced by the obtained data on glycemic indicators and lipid profiles in dynamics, as well as the results of the assessment on the EASI.…”
Get full text

Machine learning-based integration develops relapse related signature for predicting prognosis and indicating immune microenvironment infiltration in breast cancer by Junyi Li, Shixin Li, Dongpo Zhang, Yibing Zhu, Yue Wang, Xiaoxiao Xing, Juefei Mo, Yong Zhang, Daixiang Liao, Jun Li

“…Abstract Breast cancer is the most common type of cancer in women, and while current treatments can cure the majority of early-stage primary BC cases, recurrence remains a significant challenge. …”
Get full text