F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma by Tong Wang MD, Hongzan Sun MD, Yan Guo PhD, Lue Zou MD

“…Objective: This study evaluated the metabolic parameters and texture features of fluorodeoxyglucose positron emission tomography–computed tomography (PET/CT) for the diagnosis and differentiation of endometrial atypical hyperplasia (EAH), EAH with field cancerization (FC), and stage 1A endometrial carcinoma (EC 1a). …”
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Multi-Parameter Water Quality Inversion in Heterogeneous Inland Waters Using UAV-Based Hyperspectral Data and Deep Learning Methods by Hongran Li, Nuo Wang, Zixuan Du, Deyu Huang, Mengjie Shi, Zhaoman Zhong, Dongqing Yuan

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Novel hafnium oxide doped G-T-B Glass: Structural, physical, mechanical, optical, and radiation shielding investigation by M.H.A. Mhareb, Kawa M. Kaky, K.A. Mahmoud, M.I. Sayyed, Abed Jawad Kadhim, Yasser Maghrbi

“…The refractive index and Urbach energy (EU) were computed using the related relationships. Many optical features, like metallization (M), transmission (T), reflection loss (R), optical basicity (Λ), optical polarizability (α0), and optical electronegativity (χ), were computed and reported in this work. …”
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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence by Tejas Kadengodlu Bhat, Krishnaraj Chadaga, Niranjana Sampathila, Swathi KS, Rajagopala Chadaga, Shashikiran Umakanth, Srikanth Prabhu

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Influence of phonon anharmonicity on Raman spectra of Cu2ZnSn(S,Se)4 polycrystalline thin films through computational study by Yurii A. Romaniuk, Ivan S. Babichuk, Vadym V. Korotyeyev, Volodymyr O. Yukhymchuk, Volodymyr M. Dzhagan, Sergiy V. Virko, Mykola O. Semenenko, Maksym O. Stetsenko, Anton Tiutiunnyk, Laura M. Pérez, David Laroze

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A Fast Image Encryption Scheme Based on a Four-Dimensional Variable-Parameter Hyperchaotic Map and Cyclic Shift Strategy by Guidong Zhang, Yanhao Zhao, Yanpei Zheng, Yulin Shen, Jun Huang

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Cosmology with Binary Neutron Stars: Does Mass–Redshift Correlation Matter? by Soumendra Kishore Roy, Lieke A. C. van Son, Anarya Ray, Will M. Farr

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Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle by Shing-Hong Liu, Alok Kumar Sharma, Bo-Yan Wu, Xin Zhu, Chun-Ju Chang, Jia-Jung Wang

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A lightweight verifiable outsourced decryption of attribute-based encryption scheme for blockchain-enabled wireless body area network in fog computing by Rui Guo, Chaoyuan Zhuang, Huixian Shi, Yinghui Zhang, Dong Zheng

“…Specifically, our construction enjoys the following six features: (1) Although the outsourced decryption enables to save the computation overhead of the data user sharply in an attribute-based encryption scheme, the ciphertext is out of control and the correctness cannot be guaranteed by the data owner. …”
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Personal response to immune checkpoint inhibitors of patients with advanced melanoma explained by a computational model of cellular immunity, tumor growth, and drug. by D Perlstein, O Shlagman, Y Kogan, K Halevi-Tobias, A Yakobson, I Lazarev, Z Agur

“…Simulations captured the major features of Patient O's disease, displaying a good fit to her clinical data. …”
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Cardiac computer tomography-derived radiomics in assessing myocardial characteristics at the connection between the left atrial appendage and the left atrium in atrial fibrillation... by Xiao-Xuan Wei, Cai-Ying Li, Hai-Qing Yang, Peng Song, Bai-Lin Wu, Fang-Hua Zhu, Jing Hu, Xiao-Yu Xu, Xin Tian

“…The morphological parameters of the LAA were measured. A radiomics model, a clincal feature model and a model combining radiomics and clinical features were constructed. …”
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Multi-target detection of underground personnel based on an improved YOLOv8n model by WEN Yongzhong, JIA Pengtao, XIA Mingao, ZHANG Longgang, WANG Weifeng

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Anatomical Characteristics Predict Response to Transcranial Direct Current Stimulation (tDCS): Development of a Computational Pipeline for Optimizing tDCS Protocols by Giulia Caiani, Emma Chiaramello, Marta Parazzini, Eleonora Arrigoni, Leonor J. Romero Lauro, Alberto Pisoni, Serena Fiocchi

“…This work attempts to overcome this constraint by examining the effects of age and anatomical features, including the volume of cerebrospinal fluid (CSF), the thickness of the skull, and the composition of brain tissue, on electric field distribution and cortical excitability. …”
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Leveraging Subjective Parameters and Biomarkers in Machine Learning Models: The Feasibility of <i>lnc-IL7R</i> for Managing Emphysema Progression by Tzu-Tao Chen, Tzu-Yu Cheng, I-Jung Liu, Shu-Chuan Ho, Kang-Yun Lee, Huei-Tyng Huang, Po-Hao Feng, Kuan-Yuan Chen, Ching-Shan Luo, Chien-Hua Tseng, Yueh-His Chen, Arnab Majumdar, Cheng-Yu Tsai, Sheng-Ming Wu

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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

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Computational analysis of heat transfer for hybrid nanofluid flow within a wavy lid-driven cavity with entropy generation and non-uniform heating by Muhammad Fawad Malik, Yasir Ul Umair Bin Turabi, Mohsan Raza, Muhammad Imran, Taseer Muhammad

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Study of the earthquakes source parameters, site response, and path attenuation using P and S-waves spectral inversion, Aswan region, south Egypt by Saadalla Hamada, Qaysi Saleh, Hayashida Takumi, Hamada Mona

“…The advanced earthquake’s source parameters (seismic moment, corner frequency, moment magnitude, and static stress drop and source radius) and its scaling relations are computed using the converted windows of P- and S-waves. …”
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Changes in clinical, biochemical, immunological and integrative parameters in patients with chronic hepatitis C virus infection according to the virus genotype and the grade of act... by A. H. Lishnevska, M. D. Chemych

“…The aim of this study is to determine the features of the course of chronic hepatitis C virus (CHCV) infection and the dependence of changes in integrative indicators of endogenous intoxication, nonspecific immunoreactivity and inflammation on the virus genotype and the grade of activity. …”
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A machine learning model for the prediction of hail-affected area in Germany by Siyu Li, Peter Knippertz, Michael Kunz, Jannik Wilhelm, Julian Quinting

“…The ML model utilizes 18 thermodynamic and dynamic convection-related parameters derived from ERA5 reanalysis data. Feature selection identifies seven key predictors, with a particular emphasis on the convective available potential energy and bulk wind shear (CAPESHEAR). …”
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Modeling the dynamics of charged drop of one liquid in another under the action of an electric field by Н.Ж. Джайчибеков, Б.С. Шалабаева, В.Н. Киреев

“… The work is devoted to the study of the features of the behavior of a group of droplets of one viscous liquid in another under the influence of various physical fields. …”
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