A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…Computational thinking (CT) is a fundamental skill that needs to be developed by prospective mathematics teachers to improve problem-solving and logical reasoning. …”
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InMemQK: A Product Quantization Based MatMul Module for Compute-in-Memory Attention Macro by Pengcheng Feng, Yihao Chen, Jinke Yu, Hao Yue, Zhelong Jiang, Yi Xiao, Wan’ang Xiao, Huaxiang Lu, Gang Chen

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Improving the prediction of bitumen’s density and thermal expansion by optimizing artificial neural networks with Optuna and TensorFlow by Eli I. Assaf, Xueyan Liu, Sandra Erkens

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Dose coefficients for ICRP pediatric mesh-type reference computational phantoms under idealized external electron exposures by Chansoo Choi, Bangho Shin, Sungho Moon, Yeon Soo Yeom, Chan Hyeong Kim, Wesley E. Bolch

“…In the present study, a comprehensive dataset of dose coefficients for idealized external electron exposures has been established using the newly released ICRP-156 pediatric mesh-type reference computational phantoms (MRCPs) in conjunction with the Geant4 Monte Carlo radiation transport code. …”
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Model Decomposition-Based Approach to Optimizing the Efficiency of Wireless Power Transfer Inside a Metal Enclosure by Romans Kusnins, Sergejs Tjukovs, Janis Eidaks, Kristaps Gailis, Dmitrijs Pikulins

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Design and Implementation of a Decision Integration System for Monitoring and Optimizing Heating Systems: Results and Lessons Learned by Kirill Djebko, Daniel Weidner, Marcel Waleska, Timo Krey, Bhaskar Kamble, Sven Rausch, Dietmar Seipel, Frank Puppe

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Co-contraction embodies uncertainty: An optimal feedforward strategy for robust motor control. by Bastien Berret, Dorian Verdel, Etienne Burdet, Frédéric Jean

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Optimizing Screw Fixation in Total Hip Arthroplasty: A Deep Learning and Finite Element Analysis Approach by Jacob Stroud, Emily T. Yan, Jacob Anthony, Kyle Walker, Chung-Hyun Goh

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Application of inertial navigation high precision positioning system based on SVM optimization by Ruiqun Han

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MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens by Chengyue Wu, Ernesto A. B. F. Lima, Casey E. Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov

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Optimizing Scheduled Train Service for Seaport-Hinterland Corridors: A Time-Space-State Network Approach by Yueyi Li, Xiaodong Zhang

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Optimizing a Compact Ring Coupler with Neural Network Modeling for Enhanced Performance in Radio Frequency Applications by Sobhan Roshani, Salah I. Yahya, Bita Najafi, Ali Jadidian, Mohsen Karimi, Saeed Roshani

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Optimizing Battery Charging in Wireless Sensor Networks: Performance Assessment of MPPT Algorithms in Different Environmental Settings by Abdullah Fadhil Noor Shubbar, Serkan Savaş, Osman Güler

“…Given the critical role of battery performance in WSN reliability, efficient energy management through Maximum Power Point Tracking (MPPT) algorithms is essential to adapt to variable environmental conditions such as solar irradiance and ambient temperature.Objective: This study aims to comparatively assess the performance of four widely adopted MPPT algorithms-Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic (FL), and Particle Swarm Optimization (PSO)-in enhancing battery charging efficiency in PV-powered WSNs under dynamic environmental conditions.Methods: A simulation-based evaluation framework was developed using MATLAB/Simulink to model a PV-powered WSN system. …”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

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6G virtualized beamforming: a novel framework for optimizing massive MIMO in 6G networks by Ahmed M. Alwakeel

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A peptide filtering relation quantifies MHC class I peptide optimization. by Neil Dalchau, Andrew Phillips, Leonard D Goldstein, Mark Howarth, Luca Cardelli, Stephen Emmott, Tim Elliott, Joern M Werner

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Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework. by Máté Mohácsi, Márk Patrik Török, Sára Sáray, Luca Tar, Gábor Farkas, Szabolcs Káli

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Integrating Immunotherapy With Targeted Therapy: Evaluating Efficacy in NSCLC Treatment Through Computational Analysis of Gene Regulatory Networks by Pranabesh Bhattacharjee, Aditya Lahiri, Tanmay Sindhwani, Norman Peter Reeves, Aniruddha Datta

“…This study provides a theoretical and mechanistic basis for combining immune checkpoint blockade with targeted therapies in NSCLC and demonstrates the utility of BN modeling in optimizing personalized, mutation-specific treatment strategies.…”
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Understanding the Influence of Environmental Elements on Spatial Attractiveness in a Jiangnan Water Town Through Computer Vision Techniques by Chenpeng Xu, Hongshi Cao, Zhengwei Xia, Xinjie You, Zixuan Wang

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Optimizing Virtual Power Plant Performance through Three-Phase Power Flow Analysis and TCAS Algorithm by Meisam Azimi, Mehdi Foroughi, Mohammad Hadi Foroughi, Moein Moeini-Aghtaie, Hossein Yousefi, Mohammad Behzad Hadi

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