An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

“…An AI-integrated, the Levenberg-Marquardt algorithm is employed with a neural network back propagation approach (ANN-LMA) for comprehensive analysis of viscous dissipation and the Lorentz force effects influenced tri-hybrid nano-fluid mixture. …”
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MODELING OF A DUPLEX MILLER AND CONDITIONS OF FORMATION OF TREATMENT OF WHEEL PAIRS OF MAIN ELECTRIC CARDS, DUAL CARS, ELECTRO SECTIONS by Victor Shapovalov, Alexandr Permyakov, Alexander Klochko

“…The following results were obtained: the design of a "duplex" milling cutter with a predicted increase in resistance and increase in processing productivity due to modeling of forming processes with a decrease in the sliding angle by three to five times, which was not previously taken into account when designating and selecting cutting parameters, is provided. …”
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Two-dimensional contour decomposition: Decomposing mortality differences into initial difference and trend components by age and cause of death by Dmitri A. Jdanov, Domantas Jasilionis, Vladimir Shkolnikov

“…., causes of death or educational structure. METHODS: We use a step-wise replacement algorithm. …”
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Calculation of stationary points in linear bilevel programming problems by D. E. Berezhnov, L. I. Minchenko

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FINDING OF OPTIMAL SUBSET STRUCTURE IN THE KNAPSACK PROBLEM by S. V. Chebakov, L. V. Serebryanaya

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Free space method using a vector network analyzer to determine the dielectric permittivity of materials in microwave range by N. A. Pevneva, A. L. Gurskii, A. M. Kostrikin

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Cooperative Method of Request PLANNING IN IDENTITY Management systems by P. Yu. Piniuta, V. V. Bakhtizin

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IDENTIFICATION OF SIGNALS IN Multi-Static CROSS-CORRELATION PASSIVE RadarS by A. A. Dmitrenko, S. Y. Sedushev

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Common Secret Key Derivation Based on Synchronized Artificial Neuronal Networks Using Multispeed Weighted Coefficients Correction by V. F. Golikov, N. V. Brych

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PARAMETRIC AUDIO CODER BASED ON SPARSE APPROXIMATION WITH FRAME-BASED PSYCHOACOUSTIC OPTIMIZED WAVELET PACKET DICTIONARY by Al. A. Petrovsky, V. Y. Herasimovich

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Shifts in seasonal influenza patterns in Australia during and after COVID-19: A comprehensive analysis by Cynthia Lu, Ian G. Barr, Stephen Lambert, Kerrie Mengersen, Liping Wang, Weizhong Yang, Zhongjie Li, Sotiris Vardoulakis, Hilary Bambrick, Wenbiao Hu

“…Using generalised additive models, we compared predicted weekly influenza case counts during 2020–2022 with observed counts. …”
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Redefining the Diagnostic Approach to Adrenal Insufficiency: Re-Assessment of Baseline and Cortisol Increment Cut-Offs with the 1 µg Synacthen Test by Taieb Ach, Rim Dhaffar, Asma Ammar, Aycha Ghachem, Imen Halloul, Wiem Saafi, Hamza El Fekih, Ghada Saad, Yosra Hasni, Monia Zaouali

“…Diagnostic accuracy of baseline cortisol levels and cortisol increment was assessed using ROC curve analysis to determine optimal cut-offs for predicting LDST outcomes. <i>Results:</i> Among 163 patients (mean age 42.9 years, 63% female), baseline cortisol ≤ 5.35 μg/dL had 100% specificity but 41.5% sensitivity for LDST failure. …”
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Deep Learning Hybrid Architecture Based on Vision Transformer for Phase Analysis of Moir&#x00E9; Fringes by Dajie Yu, Junbo Liu, Chuan Jin, Yuyang Li, Kairui Zhang, Ji Zhou

“…By training on various types of Moir&#x00E9; fringe datasets, the model can predict the fringe wrapping phase, allowing for the analysis of elements within the wrapping phase, including displacement information. …”
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Near-Real-Time Global Thermospheric Density Variations Unveiled by Starlink Ephemeris by Zhuoliang Ou, Jiahao Zhong, Yongqiang Hao, Ruoxi Li, Xin Wan, Kang Wang, Jiawen Chen, Hao Han, Xingyan Song, Wenyu Du, Yanyan Tang

“…Due to extensive coverage and frequent maneuvers, SpaceX has publicly released predicted ephemeris data for all Starlink satellites since May 2021, with updates approximately every 8 h. …”
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Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features by Mingqi Li, Pengxin Wang, Kevin Tansey, Fengwei Guo, Ji Zhou

“…Secondly, the 2D CNN-Transformer predicted LAI and the Sentinel-2 LAI are input into the Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion (EDCSTFN) model to further improve the accuracy. …”
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CC-Former: Urban Flood Mapping from InSAR Coherence with Vision Transformer: Libya and Storm Daniel as Test Case by T. Saleh, T. Saleh, T. Saleh, S. Holail, M. Al-Saad, F. Xu, M. Zahran, G.-S. Xia, G.-S. Xia

“…Specifically, CC-Former utilizes two Siamese weight-sharing encoders to extract multi-scale features from input InSAR coherence images and employs a decoder to generate final predictions. Additionally, we propose a coherence-based scaling (CoBS) module designed to focus on the acquired coherence features of urban flood classes and mitigate the imbalanced distribution of training classes. …”
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Climate change reduces and shifts suitable habitats of Uapaca kirkiana Müll. Arg. to higher altitudes in Malawi by Bruno Kokouvi Kokou, Msiska Ulemu, Wouyo Atakpama, Séverin Biaou, Soloum Clément Teteli, Kouagou Raoul Sambieni, Frank Mnthambala, Tembo Mavuto, Paul Munyenyembe, Florent Noulèkoun

“…Overall, 9.29 % of Malawi was predicted as highly suitable for U. kirkiana occurrence, 17.39 % moderately suitable and 25.20 % poorly suitable. …”
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Correspondence between thalamic injury-induced changes in resting-state fMRI of monkeys and their sensorimotor behaviors and neural activities by Anirban Sengupta, Pai-Feng Yang, Jamie L. Reed, Arabinda Mishra, Feng Wang, Isaac V Manzanera Esteve, Zhangyan Yang, Li Min Chen, John C. Gore

“…Electrophysiological measurements of inter-electrode coherences and end-point histological measures also aligned well with the graded injury effects measured using rsfMRI-based FC. A simple algorithm employing FC measures from the somatosensory network could accurately predict each monkeys’ behavioral recovery timeframe after four weeks post-injury. …”
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Cardiac Magnetic Resonance Imaging with Myocardial Strain Assessment Correlates with Cardiopulmonary Exercise Testing in Patients with Pectus Excavatum by André Lollert, Tariq Abu-Tair, Tilman Emrich, Karl-Friedrich Kreitner, Alexander Sterlin, Christoph Kampmann, Gundula Staatz

“…A positive correlation between radial strain rate at the RV base and percentage of predicted maximum heart rate (rho = 0.72, <i>p</i> = 0.001) was shown, with equivalent results for circumferential strain rate (rho = −0.64, <i>p</i> = 0.005). …”
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RESEARCH OF THE PERFORMANCE OF SOCIAL PROCESSES ON THE EXAMPLE OF REGISTRATION OF ENROLLEES FOR STATE EXAMS by I. V. Kovalenko, S. A. Pottosina

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