AN INDIVIDUALIZED RISK ASSESSMENT OF SUDDEN CARDIAC DEATH IN DILATION CARDIOMYOPATHY PATIENTS by T. G. Vaykhanskaya, L. N. Sivitskaya, T. V. Kurushko, N. G. Danilenko, O. P. Melnikova, A. V. Frolov

“…With binary logit-regression analysis of independent risk factors (VES, sVT, mATW, TCR, JTd and GLS LV) we built-up a model of binary regression (F=31,2; χ2=143,2; p=0,0000) and developed an algorithm of SCD risk evaluation that make it to classify with high prediction power up to 93,9%, cases of DCMP (OR 470; sensitivity 80,8%, specificity 99,1%).Conclusion. …”
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Riparian habitat quality and seasonality drives spatiotemporal habitat ecology of sympatric Asian otters in southern Western Ghats by Ankit Moun, Tharmalingam Ramesh, Tharmalingam Ramesh, Riddhika Kalle, Riddhika Kalle

“…The low-quality habitat with low sign encounter rates or no evidence of otters had anthropized stream buffers, with high proportion of agriculture, weed cover and anthropogenic disturbance as influential factors predicted by the RF algorithm. SCO distribution was restricted to the higher-order streams in close proximity to hydro-power dams. …”
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An MCV Nonhydrostatic Atmospheric Model with Height-Based Terrain following Coordinate: Tests of Waves over Steep Mountains by Xingliang Li, Xueshun Shen, Feng Xiao, Chungang Chen

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New concepts of magnetohydrodynamics and entropy rate for radiative nanofluid flow invoking artificial neural network approach by Aqsa Razzaq, T. Hayat, Sohail A. Khan, Aneeta Razaq

“…Subsequently the advanced computational technique (ANNs) based on Levenberg-Marquardt algorithm (LMA) is integrated to train the resulting datasets and facilitate predictions of advanced solutions. …”
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Microgrid system for electric vehicle charging stations integrated with renewable energy sources using a hybrid DOA–SBNN approach by Kommoju Naga Durga Veera Sai Eswar, M. Arun Noyal Doss, Mohammad Shorfuzzaman, Ali Elrashidi

“…The manuscript introduces a hybrid technique for efficient electric vehicle (EV) charging integrating the Dollmaker Optimization algorithm (DOA) and spatial Bayesian neural network (SBNN). …”
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Determining of Treatment Tactic and Planning of Atypical Removal of Asymptomatic and Without Any Pathological Changes Impacted Mandibular Third Molars by Vares Y., Kyyak S.

“…In order to perform a correct planning, prediction of atypical removal and analysis of potential postoperative complications we created a computer program ″Xray analyzer″. …”
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Recorded poor insight as a predictor of service use outcomes: cohort study of patients with first-episode psychosis in a large mental healthcare database by Robert Stewart, Neha Ramu, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel

“…It was significantly associated with higher levels of all four outcomes over all five follow-up periods.Conclusions Recorded poor insight in people with recent onset psychosis predicted subsequent legally enforced hospitalisations and higher number of hospital admissions, number of unique antipsychotics prescribed and days spent hospitalised. …”
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Determination of the Predominant Orientation of Cracks in Ice Cover of the Laptev Sea from the Ice Drift Data by L. N. Dyment, A. A. Ershova, V. S. Porubaev, A. A. Chirkova

“…The paper shows that in order to solve the problem of predicting the predominant orientation of cracks in ice covering the Laptev Sea, when the satellite information is absent, the orientation of cracks in ice cover can be calculated using data on the ice drift in the Sea. …”
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Patient selection criteria for transcatheter implantation of aortic valve by M.B. Todurov, O.V. Zelenchuk, A.V. Khokhlov, M.V. Stan, N.O. Yashchenko

“…The aim – to conduct a literature review, analyze and, based on our own results, present an algorithm for choosing the tactics of surgical treatment of patients with severe aortic stenosis. …”
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Meta-RHDC: Meta Reinforcement Learning Driven Hybrid Lyrebird Falcon Optimization for Dynamic Load Balancing in Cloud Computing by Mallu Shiva Rama Krishna, D. Khasim Vali

“…By integrating reinforcement learning with advanced optimization techniques, Meta-RHDC significantly improves task scheduling and load balancing compared to existing methods such as Load Optimization Algorithm (LOA), Reinforcement Learning (RL), and Falcon Optimization Algorithm (FOA). …”
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Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…Therefore, the MBRP algorithm presents a promising tool for advancing pedestrian safety analyses in practical applications. …”
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A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022 by Fei Wang, Yang Wei, Rongrong Li, Hongjiang Hu, Xiaojing Li

“…Specific results are shown below: Numerous algorithmic predictions show the ensemble learning algorithm with the smallest error explained 71% of the ECa spatial variability. …”
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Mesosphere data assimilation based on the intelligent optimization of the uncertainty parameters in a theoretical model by Dexin Ren, Jiuhou Lei, Xuetao Chen, Tong Dang, Yu Liu

“…This algorithm was employed to improve the accuracy of mesospheric state simulation via the injection of sparse observations. …”
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Optimization of a Hybrid Off-Grid Solar PV—Hydro Power Systems for Rural Electrification in Cameroon by Chu Donatus Iweh, Guy Clarence Semassou, Roger Houèchénè Ahouansou

“…The optimization of the system was done using HOMER Pro and validated using a meta-heuristic algorithm known as genetic algorithm (GA). The GA approach was programmed using the MATLAB software. …”
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Phenotyping of outpatients with heart failure with preserved ejection fraction and poor prognosis by V. N. Larina, V. I. Lunev

“…The threshold value for predicting death for LVGFI was ≤21,4%, for derivative index of LVGFI — ≥303,6 ml. …”
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Komparasi Performa Algoritma Kompresi Data Lossless Menggunakan Rasio Kompresi Dan Penghematan Ruang by Aswar Hanif, Endang Wahyudi, Harna Adianto, Lilik Martanto

“…Beberapa metode dan algoritma kompresi lossless diantaranya seperti Lempel–Ziv–Markov chain algorithm (LZMA), Prediction by partial matching (PPM), Burrows-Wheeler block sorting text compression algorithm and Huffman coding (BZip2), dan Deflate. …”
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Monitoring and Modeling Urban Temperature Patterns in the State of Iowa, USA, Utilizing Mobile Sensors and Geospatial Data by Clemir Abbeg Coproski, Bingqing Liang, James T. Dietrich, John DeGroote

“…Using the random forest machine-learning algorithm and estimated urban morphological variables at varying neighborhood distances derived from 1 m² aerial imagery and derived products from LiDAR data, we created 24 predicted surface temperature models that demonstrated R² coefficients ranging from 0.879 to 0.997 with the majority exceeding an R² of 0.95, all with <i>p</i>-values < 0.001. …”
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Real-time torque distribution simulation of parallel hybrid vehicle engine by Jing Wang

“…While energy utilization during deceleration braking remains suboptimal, future work will optimize regenerative braking strategies through road condition prediction and advanced power devices. This approach provides a viable pathway to improve energy sustainability in hybrid transportation systems.…”
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Semisupervised Learning for Detecting Inverse Compton Emission in Galaxy Clusters by Sheng-Chieh Lin, Yuanyuan Su, Fabio Gastaldello, Nathan Jacobs

“…Traditional spectral fitting is better at identifying IC cases among true IC spectra (a better recall), while IC predictions made by CAE have a higher chance of being true IC cases (a better precision), demonstrating that they mutually complement each other.…”
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Single-cell landscape of dynamic changes in CD8+ T cells, CD4+ T cells and exhausted T cells in hepatocellular carcinoma by Rongqiang Liu, Jing Ye, Jianguo Wang, Wangbin Ma, Zhendong Qiu, Jia Yu, Weixing Wang

“…The hdWGCNA algorithm identified 40 genes strongly associated with CD4+ T cells, CD8+ T cells and exhausted T cells. …”
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