Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm... by Paolo Iván Cubillo-Leyton, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña

“…For comparison, the discrete-continuous versions of the vortex search algorithm (VSA), the sine-cosine algorithm (SCA), Phasor Particle Swarm Optimization (PPSO), New Self-Organising Hierarchical PSO (NHPSO-JTVAC), Differential Evolution (DE), Gold Search Optimization (GSO) and the classical version of JAYA are used, validating the effectiveness of our proposal on the 33- and 69-bus test systems while considering variable generation and demand. …”
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Gradient Flow Decoding by Tadashi Wadayama, Lantian Wei

“…The decoding process of the GF decoding is concisely defined by an ordinary differential equation and thus it is well suited to an analog circuit implementation. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…Furthermore, we have incorporated a tailored Differential Evolution (DE) algorithm designed to navigate the complex hyperparameter space with finesse. …”
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Development and Functional Evaluation of an Upper Extremity Rehabilitation System Based on Inertial Sensors and Virtual Reality by Je-Nam Kim, Mun-Ho Ryu, Ho-Rim Choi, Yoon-Seok Yang, Tae-Koon Kim

“…The system was tested on a group of healthy subjects and a group with a simulated stiff elbow, allowing the evaluations to be quantitatively differentiated. The stiff elbow was simulated by taping the elbow to restrict the range of elbow motion. …”
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Development of Anthro-Fitness Model for Evaluating Firefighter Recruits’ Performance Readiness Using Machine Learning by Mohamed Borhanudin Mohd Yusof, Musa Rabiu Muazu, Nazarudin Mohamad Nizam, Abdul Majeed Anwar P. P., Raj Naresh Bhaskar, Razmaan Mohd Azraai Mohd

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Evaluation of phenotypic and functional stability of RAW 264.7 cell line through serial passages. by Bartłomiej Taciak, Maciej Białasek, Agata Braniewska, Zuzanna Sas, Paulina Sawicka, Łukasz Kiraga, Tomasz Rygiel, Magdalena Król

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A Combined Approach Using T2*-Weighted Dynamic Susceptibility Contrast MRI Perfusion Parameters and Radiomics to Differentiate Between Radionecrosis and Glioma Progression: A Proof... by José Pablo Martínez Barbero, Francisco Javier Pérez García, David López Cornejo, Marta García Cerezo, Paula María Jiménez Gutiérrez, Luis Balderas, Miguel Lastra, Antonio Arauzo-Azofra, José M. Benítez, Antonio Jesús Láinez Ramos-Bossini

“…These features were combined into a single dataset and 14 classification algorithms were evaluated with GroupKFold cross-validation (k = 4). …”
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Random Strip Peeling: A novel lightweight image encryption for IoT devices based on colour planes permutation by Kenan İnce, Cemile İnce, Davut Hanbay

“…The diffusion stage then employs an XOR matrix generated by the Logistic Map. Different evaluation metrics, such as entropy analysis, key sensitivity, statistical and differential attacks resistance, and robustness analysis demonstrate the proposed algorithm's lightweight, robust, and efficient. …”
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Identification and evaluation of metabolic mRNAs and key miRNAs in colorectal cancer liver metastasis by Guanxuan Chen, Shiwen Wang, Meng Zhang, Wenna Shi, Ruoyu Wang, Wanqi Zhu

“…By implementing LASSO and SVM algorithms, we pinpointed six core mRNAs from the key mRNAs. …”
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The value of a combined model based on ultra-radiomics and multi-modal ultrasound in the benign-malignant differentiation of C-TIRADS 4A thyroid nodules: a prospective multicenter... by Shuai Cui, Qifan Liu, Hailong Wang, Husha Li, Wei Li, Chenlong Li, Leilei Bi, Yang Mu, Wenjing Guo, Jundong Yao, Zhoulong Zhang

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TMEM132A: a novel susceptibility gene for lung adenocarcinoma combined with venous thromboembolism identified through comprehensive bioinformatic analysis by Pei Xie, Yingli Liu, Pingping Bai, Yue Ming, Qi Zheng, Li Zhu, Yong Qi

“…Molecular crosstalk analysis identified candidate genes through differential expression algorithms and disease-association metrics. …”
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Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology by Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim

“…Upon further validation in independent cohorts, this gene signature could be developed into a predictive test that can support clinical evaluation and patient care.…”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…The plus tree population in Xiaobeihu exhibits a considerable degree of genetic diversity, with no notable genetic differentiation. The construction of production populations via the developed SSR markers in combination with cone production from plus trees results in a reasonable population size and a mating system, thereby providing a scientific basis and technical support for the evaluation of Pinus koraiensis germplasm resources and advanced-generation improvement efforts. …”
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Design of Periodic Neural Networks for Computational Investigations of Nonlinear Hepatitis C Virus Model Under Boozing by Abdul Mannan, Jamshaid Ul Rahman, Quaid Iqbal, Rubiqa Zulfiqar

“…We employ periodic neural networks, optimized using a hybrid genetic algorithm and the interior-point algorithm, to solve a system of six coupled nonlinear differential equations representing hepatitis C virus dynamics. …”
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Research on Two-Stage Data Compression at the Acquisition Node in Remote-Detection Acoustic Logging by Xiaolong Hao, Yangtao Hu, Bingnan Yan, Hang Hui, Yunxia Chen, Bingqi Zhang

“…This approach includes a field programmable gate array (FPGA)-based hardware system and a two-stage downhole data compression algorithm combining wavelet transform and adaptive differential pulse-code modulation paired with ground decompression software. …”
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Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators by Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

“…This paper demonstrates the power of differentiability for solving MOO problems in particle accelerators using a deep differentiable reinforcement learning (DDRL) algorithm. …”
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Characteristic genes and immune infiltration analysis of gastric cancer based on bioinformatics analysis and machine learning by Chengwei Xia, Yini Liu, Xin Qing

“…Next, after applying the three algorithms (LASSO, RandomForest, and SVM-RFE) to analyze these overlapping genes and take the intersection, we established a GC diagnosis. …”
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Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…Experimental results demonstrate that our algorithm dramatically improves the popular least-recently used (LRU) algorithm. …”
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A Study on the Spatial Renewal of Atypical Traditional Villages Based on Modular Intelligent Grouping—Yuguang Village in China as an Example by Zao Li, Xiao Guo, Qiang Wang, Geng Cheng, Hanyue Tong

“…The application results of the methods above show that, based on the regional setting of spatial combination and the differential analysis of spatial distribution, intelligent organization technology can weaken the dual separation status of traditional and modern, and realize the targeted and reasonable evaluation of spatial transition and synergistic effect. …”
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Impossible differential cryptanalysis of reduced-round <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><msup><mrow><mi mathvariant="bold-... by DU Xiaoni, YU Tian, JIA Meichun, LIANG Lifang

“…></graphic></alternatives></inline-formula> algorithm in impossible differential cryptanalysis, a 9-round impossible differential distinguisher of <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M9"><msup><mrow><mi>μ</mi></mrow><mrow><mn mathvariant="normal">2</mn></mrow></msup></math><graphic specific-use="big" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="alternativeImage/22C9D519-EA4F-4e54-A8CF-1ACB826F2179-M008.jpg"><?…”
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