Terminal ileitis: Questions of differential diagnosis and prospects for treatment. A review by Alexey M. Osadchuk, Oleg V. Golovenko, Irina D. Loranskaia

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A Multi-Agent Optimal Bidding Strategy in Multi-Operator VPPs Based on SGHSA by Shupeng Li, Xianxu Huo, Xiyuan Zhang, Guodong Li, Xiangyu Kong, Siqiong Zhang

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Treatment of recurrent ureteral stricture after kidney transplantation with nitinol stent by A. V. Shabunin, G. M. Chechenin, P. A. Drozdov, I. V. Nesterenko, S. A. Astapovich, E. A. Lidzhieva

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A Single-Phase Five-Level Switched-Capacitor Boost Inverter With Improving Voltage Gain by Duc-Tri Do, Thuan-Thien Vu, Khai M. Nguyen, Vinh-Thanh Tran

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MULTINOMIAL LOGISTIC REGRESSION MODEL USING MAXIMUM LIKELIHOOD APPROACH AND BAYES METHOD ON INDONESIA'S ECONOMIC GROWTH PRE TO POST COVID-19 PANDEMIC by Arie Purwanto, Muhammad Aziz Suprayogi, Erwan Setiawan, Joao Ferreira Rendes Bean Loly, Gusti Arviana Rahman, Anang Kurnia

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Hierarchical Bayesian Reliability Model for Wind Turbines with Small Fault Sample Sets by Dameng WANG, Zhiyong MA, Yibing LIU, Wei TENG

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Scene-Adaptive Loader Trajectory Planning and Tracking Control by Yingnan Li, Wenwen Dong, Tianhao Zheng, Yakun Wang, Xuefei Li

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Machine learning unveils multiple Pauli blockades in the transport spectroscopy of bilayer graphene double-quantum dots by Ankan Mukherjee, Anuranan Das, Adil Anwar Khan, Bhaskaran Muralidharan

“…Through numerical predictions and validations against test data, we identify where and how many Pauli blockades are likely to occur. …”
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SPARCQ: Enhancing Scalability and Adaptability of Proactive Edge Caching Through Q-Learning by Shruti Lall, Johan de Clercq, Nelishia Pillay, Bodhaswar T. Maharaj

“…To overcome these challenges, we propose a novel framework, SPARCQ, that leverages Q-learning, a reinforcement learning algorithm, to automate hyperparameter tuning for LSTM-based prediction models. …”
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Use of ICT to Confront COVID-19 by Yousry Saber El Gamal

“…Risk prediction is one of the important AI applications during the Pandemic. …”
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Are minimum indoor air quality requirements combined with passive retrofit solutions enough to guarantee thermal comfort in southern Spain High Schools? by Calama-González Carmen María, Escandón Rocío, Suárez Rafael

“…A representative educational building is selected as case study to simulate the performance of the existing high school stock in southern Spain. …”
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Robust Backstepping Control for Cold Rolling Main Drive System with Nonlinear Uncertainties by Xu Yang, Kai-xiang Peng, Chao-nan Tong

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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…This research specifically examines the potential of the convolutional neural network–long short-term memory algorithm to improve the precision of State of Health forecasts for the battery model. …”
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In silico and ex vivo approaches indicate immune pressure on capsid and non-capsid regions of coxsackie B viruses in the human system. by Rhiannon Kundu, Robin Knight, Meenakshi Dunga, Mark Peakman

“…To address this knowledge gap, we augmented conventional HLA-binding predictive algorithm-based epitope discovery by cross-referencing epitopes with sites of positive natural selection within the CBV3 viral genome, identified using mixed effects models of evolution. …”
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Tumor Intrinsic Immunogenicity Suppressor SETDB1 Worsens the Prognosis of Patients with Hepatocellular Carcinoma by Chang-Qing Yin, Chun-Qing Song

“…In conclusion, the upregulation of SETDB1 is associated with a poorer prognosis in HCC patients and inversely correlates with immune cell infiltration, potentially serving as a predictive marker for immunotherapy response.…”
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Physics-based Forecasting of Tomorrow’s Solar Wind at 1 au by Igor V. Sokolov, Tamas I. Gombosi

“…We derive the modified governing equations for both hydrodynamics and magnetohydrodynamics and present a new numerical algorithm that solves the modified governing equations. …”
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Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…It leverages GNNs to model spatial dependencies and interactions within IoT networks and utilizes XGBoost to distill complex features for predictive analysis. The late fusion technique combines predictions from both models to enhance overall performance. …”
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Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare by Nargish Parvin, Sang Woo Joo, Jae Hak Jung, Tapas K. Mandal

“…Advanced tools like AlphaFold have significantly improved protein structure prediction, enabling the creation of biomaterials with enhanced biological compatibility. …”
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Enhancing Hazard Detection and Risk Severity Assessment in Construction through Multinomial Naive Bayes and Regression by Akaninyene Michael Akwaisua, Anietie Ekong, Godwin Ansa

“…Using the Linear Regression algorithm, the model predicts the severity of risks based on textual descriptions of a hazard.  …”
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Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations by Ahmad J. Obaidullah, Wael A. Mahdi

“…Hyperparameter tuning is rigorously conducted utilizing the Harmony Search (HS) algorithm. For drug solubility prediction, the ADA-DT model demonstrates superior performance, achieving an R² score of 0.9738 on the test set, with a Mean Squared Error (MSE) of 5.4270E-04 and a Mean Absolute Error (MAE) of 2.10921E-02. …”
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