A Framework for Low-Carbon Container Multimodal Transport Route Optimization Under Hybrid Uncertainty: Model and Case Study by Fenling Feng, Fanjian Zheng, Ze Zhang, Lei Wang

“…For model resolution, fuzzy chance-constrained programming is adopted for defuzzification processing. …”
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Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks by Md Kamruzzaman, Nurul I. Sarkar, Jairo Gutierrez

“…As resource optimization is an integer nonlinear programming problem, we address this problem by proposing a deep Q-network-based reinforcement learning algorithm (DRL) to optimize the resource allocation issue. …”
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Study on oil pilot circuit of adaptive hydraulic drive of tool advance in mobile drilling machine by V. S. Sidorenko, V. I. Grishchenko, S. V. Rakulenko, M. S. Poleshkin, D. D. Dymochkin

“…Through a preliminary computational experiment in the Matlab Simulink program, the following parameters of the control loop devices were determined: a hydromechanical sensor and a hydraulically controlled valve, on the basis of which the experimental setup was implemented. …”
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Conditional distributionally robust dispatch for integrated transmission-distribution systems via distributed optimization by Jie Li, Xiuli Wang, Zhicheng Wang, Zhenzi Song

“…To ensure tractability, the model is reformulated into a linear programming problem through the duality theory-based transformation and Conditional Value-at-Risk (CVaR) approximation. …”
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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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Glasgow coma scale pupil score (GCS-P) and the hospital mortality in severe traumatic brain injury: analysis of 1,066 Brazilian patients by Melina Moré Bertotti, Evandro Tostes Martins, Fernando Zanela Areas, Helena Dresch Vascouto, Norma Beatriz Rangel, Hiago Murilo Melo, Katia Lin, Emil Kupek, Felipe Dal Pizzol, Alexandra J. Golby, Roger Walz

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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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