Integrating UAVs and RISs in Future Wireless Networks: A Review and Tutorial on IoTs and Vehicular Communications by Mohsen Eskandari, Andrey V. Savkin

“…The emerging potential of RIS-equipped UAVs (RISeUAVs) is highlighted, along with their role in supporting IoVs and in mobile edge computing. Optimization techniques, including convex programming methods and machine learning, are explored to tackle complex challenges, with an emphasis on studying computational complexity and feasibility for real-time operations. …”
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Point-Kernel Code Development for Gamma-Ray Shielding Applications by Mario Matijević, Krešimir Trontl, Siniša Šadek, Paulina Družijanić

“…The derived flux solutions go beyond classical textbooks as they include the analytical integration of Taylor <i>B</i>-factor, obtaining a closed form readily suitable for programming. The specific computational modules are unified with a graphical user interface (GUI), assisting users with input/output data and visualization, developed for the fast radiological characterization of simple shielding problems. …”
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A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators by Beatriz Andres, Eduardo Guzman, Raul Poler

“…The goodness of the model is evaluated with the computational time and the deviation of the obtained results as regards to the optimal solution.…”
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Performance Evaluation of a Photovoltaic-Thermal Collector Coupled Stepped Solar Still for Indian Climatic Conditions by Ayush Narang, Siddhartha Roy, Tarun Kataray, Vishal Bonde, S. Rajesh, C. Chiranjeevi, Utkarsh Chadha, Bulcha Bekele Hirpha

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Deep exploration of logical models of cell differentiation in human preimplantation embryos by Mathieu Bolteau, Célia Messaoudi, Laurent David, Jérémie Bourdon, Carito Guziolowski

“…One key expectation is to be able to model gene regulatory networks (GRNs) from the cell-type scRNA-seq signatures. However, most computed GRNs are static models and lack the ability to predict the effects of genetic or environmental perturbations. …”
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From the guest editors by Gerardo Chowell, Zhilan Feng, Baojun Song

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Explainable Machine Learning Models for Colorectal Cancer Prediction Using Clinical Laboratory Data by Rui Li MS, Xiaoyan Hao MS, Yanjun Diao MD, Liu Yang MS, Jiayun Liu MD

“…Shapley additive explanations (SHAP) plots indicated that FOBT, CEA, lymphocyte percentage (LYMPH%), and hematocrit (HCT) were the most significant features contributing to CRC diagnosis. Additionally, a computational tool for predicting CRC risk based on the optimal model was developed, designed for researchers with programming experience. …”
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Preprocessing of Physician Notes by LLMs Improves Clinical Concept Extraction Without Information Loss by Daniel B. Hier, Michael A. Carrithers, Steven K. Platt, Anh Nguyen, Ioannis Giannopoulos, Tayo Obafemi-Ajayi

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Thermal history-driven void formation in silicon crystals: A discrete model approach by Amir Reza Ansari Dezfoli

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Comprehending the outer membrane protein modelling of pathogenic Gram-negative bacteria for in silico antibiotics screening by Nirwantono Rudi, Hidayat Alam Ahmad, Kusnadi Angelica Laura, Mozar Fitya Syarifa, Imani Alyssa, Pardamean Bens

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Numerical analysis of thermal performance enhancement of photovoltaic–thermal system using ternary nanofluid by Ischia Kurniawati, Yonmo Sung

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Increased cardiac myosin super-relaxation as an energy saving mechanism in hibernating grizzly bears by Robbert J. Van der Pijl, Weikang Ma, Christopher T.A. Lewis, Line Haar, Amalie Buhl, Gerrie P. Farman, Marcus Rhodehamel, Vivek P. Jani, O Lynne Nelson, Chengxin Zhang, Henk Granzier, Julien Ochala

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Addressing Out‐of‐Sample Issues in Multi‐Layer Convolutional Neural‐Network Parameterization of Mesoscale Eddies Applied Near Coastlines by Cheng Zhang, Pavel Perezhogin, Alistair Adcroft, Laure Zanna

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A viscoelastic–plastic deformation model of hemisphere-like tip growth in Arabidopsis zygotes by Zichen Kang, Tomonobu Nonoyama, Yukitaka Ishimoto, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda, Satoru Tsugawa

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Numerical Simulation of Local Scouring on Pile Groups under Nonlinear Wave Action by ZHOU Xi, LI Xiaochao, GONG Mengmeng

“…This article used the open-source computational fluid dynamics program REEF3D to establish a three-dimensional numerical wave tank. …”
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Protocol for predicting the single-cell network-based gene activity landscape during human B cell development by Xin Huang, Xuetong Hou, Yizhen Li, Jun J. Yang, Jiyang Yu

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Northern Norway Sporophytes of Saccharina latissima Display Distinct Gene Expression Profiles in Response to Temperature and Photoperiod by Martin Bua Rønhovde, Catia Monteiro, David Dolan, Kjersti Sjøtun, Håkon Dahle

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Shape Optimization of Isosceles Triangle Facades for Improving the Aerodynamics of a Tall Building by M. Tabatabaei Malazi, K. Fakih

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Numerical Simulation of Local Scouring on Pile Groups under Nonlinear Wave Action by ZHOU Xi, LI Xiaochao, GONG Mengmeng

“…This article used the open-source computational fluid dynamics program REEF3D to establish a three-dimensional numerical wave tank. …”
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Efficient Dynamic Performance Prediction of Railway Bridges Situated on Small-Radius Reverse Curves by Yumin Song, Bin Hu, Xiaoliang Meng

“…We first develop a vehicle-bridge coupling vibration program grounded in train-curve bridge coupling vibration theory, validated using on-site measured data. …”
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