Improved method of targeted user interface updates for enhancing the efficiency of web applications based on reactive streams and virtual DOM by M.V. Havatiuk, I.O. Saiapina

“…One of the key challenges lies in ensuring rapid, precise, and performance-optimized user interface rendering, especially in systems with frequently changing states. …”
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A novel hybrid MCDM framework combining TOPSIS, PROMETHEE II, and VIKOR for peach drying method selection by Burak Gülmez

“…Freeze drying and heat pump drying consistently ranked among the top three alternatives across all methods. The correlation analysis revealed strong agreement between VIKOR and PROMETHEE II rankings (0.857), while TOPSIS provided complementary insights. …”
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A Hybrid Optimization Approach for Improving Sensor Configuration to Enhance Nasogastric Tube (NGT) Localization During Insertion and Withdrawal by M. Souganttika, Shaohui Foong

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Solar Irradiance Prediction Method for PV Power Supply System of Mobile Sprinkler Machine Using WOA-XGBoost Model by Dan Li, Jiwei Qu, Delan Zhu, Zheyu Qin

“…In this study, a prediction method is proposed to estimate the solar irradiance of typical irrigation areas. …”
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Chamber shape optimization for ultra-high-pressure water-jet nozzle based on computational fluid dynamics method and a data-driven surrogate model by Wen-Tao Zhao, Zheng-Shou Chen, Yuan-Jie Chen, Jiang-Long Li

“…Unfortunately, comprehensive and effective methods to optimize the nozzles’ chamber shape are still lacking. …”
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NDVI Estimation Throughout the Whole Growth Period of Multi-Crops Using RGB Images and Deep Learning by Jianliang Wang, Chen Chen, Jiacheng Wang, Zhaosheng Yao, Ying Wang, Yuanyuan Zhao, Yi Sun, Fei Wu, Dongwei Han, Guanshuo Yang, Xinyu Liu, Chengming Sun, Tao Liu

“…This study utilizes field data from five major crops (cotton, rice, maize, rape, and wheat) throughout their whole growth periods. RGB images were used to extract conventional features, including color indices (CIs), texture features (TFs), and vegetation coverage, while convolutional features (CFs) were extracted using the deep learning network ResNet50 to optimize the model. …”
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Optimization of radiochemical purity assessment for [68Ga]Ga-EDOTREOTIDE (Somakit-TOC®): a shortened r-TLC method for improved PET radiopharmaceutical workflow by Arnaud Deschavannes, Kazuma Terashi, Marie Piquemal, Catherine Rioufol, Anthony Clotagatide

“…This study evaluates an optimized r-TLC method with a reduced migration distance (4 cm vs. 9 cm) to improve efficiency while maintaining analytical reliability. …”
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Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer by Muhammed Abdulhamid Karabiyik, Bahaeddin Turkoglu, Tunc Asuroglu

“…Effectively adjusting these parameters is essential to minimize the error between predicted and actual outputs. While traditional training algorithms, such as gradient-based methods, have been widely used, they often face challenges like premature convergence and stagnation in local optima. …”
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Optimal PID controller with evolutionary optimization algorithms for rehabilitation robots by Kamran Joyo, Talha Ahmed Khan, Kushsairy Abdul Kadir, Mohd Nizam Bin Husen, Haidawati Mohamad Nasir, Munaza Azhar

“…The Artificial Bee Colony (ABC) method stood out with the lowest settling time (0.84 s) and minimal overshoot (4.29%). …”
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High-Speed and Enhanced Motion Control for a Wheeled-Legged Humanoid Robot Using a Two-Wheeled Inverted Pendulum With Roll Joint by Jaewoo An, Jun Young Kim, Myo-Taeg Lim, Yonghwan Oh

“…Meanwhile, the whole-body controller (WBC), based on centroidal momentum, solves an optimization problem via quadratic programming (QP) while incorporating constraints from the rolling contact condition of the wheels and the dynamics of the humanoid robot. …”
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A Flexible Interconnected Distribution Network Power Supply Restoration Method Based on E-SOP by Lin Jiang, Canbin Wang, Wei Qiu, Hui Xiao, Wenshan Hu

“…To enhance the self-healing control capability of soft open points with energy storage (E-SOPs) and optimize the fault recovery performance in flexible interconnected distribution networks, this paper proposes a novel power supply restoration method based on E-SOP. …”
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Gas chromatography-mass spectrometry determination of bioactive compounds and mineral composition of optimised oven dried Eichhornia Crassipes using Artificial Neural Network and R... by Joyce Nababi, John Finias Kamanula, Georges Lufungula Alunga, Fednand Paul Wanjala, Patrick Omony, Bruno Kokouvi Kokou, Emmanuel Ayagirwelarha Cishibanji, Elijah Malinga Menard Wanda

“…In this study, the oven drying process of Eichhornia crassipes (E. crassipes) was optimized and modelled using Response surface method (RSM) and Artificial Neural Network (ANN) and the influence of the drying conditions on its mineral and bioactive compounds composition was assessed. …”
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GenePixKolor (GPK) Fusion: A Novel Evolutionary Algorithm-Based Optimized NFT Card Generation and Rarity Ranking Method for Gaming Tokenomics by J. Guruprakash, P. Pradeep, L. B. Krithika

“…GPK Fusion leverages genetic algorithms, image processing and machine learning to create a comprehensive, four-stage system that optimizes both the trait generation and visual appeal of NFTs, while providing an advanced rarity ranking mechanism. …”
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A novel method using body surface steel ball as a reference scale to measure the left atrial appendage for optimal selection of Watchman device by He Jin, Mingjun Feng, Xianfeng Du, Binhao Wang, Yibo Yu, Guohua Fu, Caijie Shen, Huimin Chu

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A pragmatic pipeline for drug resistance and lineage identification in Mycobacterium tuberculosis using whole genome sequencing. by Linzy Elton, Alp Aydin, Neil Stoker, Sylvia Rofael, Letícia Muraro Wildner, Jabar Babatunde Pacome Agbo Achimi Abdul, John Tembo, Muzamil Abdel Hamid, Mfoutou Mapanguy Claujens Chastel, Julio Ortiz Canseco, Ronan Doyle, Giovanni Satta, Justin O'Grady, Adam Witney, Francine Ntoumi, Alimuddin Zumla, Timothy D McHugh

“…Software for basecalling and analysis were evaluated to find the most accurate resistance SNP and lineage predictor. Optimally, a spin-column CTAB DNA extraction method was combined with the RBK110.96 library preparation kit, high accuracy (HAC) basecalling and data analysis using TB-Profiler. …”
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Development of a novel amplicon based whole-genome sequencing framework for improved surveillance of Toscana virus by Martina Brandolini, Ludovica Ingletto, Giorgio Dirani, Silvia Zannoli, Andreea Maria Lapusneanu, Massimiliano Guerra, Alessandra Mistral De Pascali, Davide Lelli, Francesco Defilippo, Antonio Lavazza, Mattia Calzolari, Michele Dottori, Laura Dionisi, Claudia Colosimo, Giulia Gatti, Anna Marzucco, Maria Sofia Montanari, Laura Grumiro, Monica Cricca, Alessandra Scagliarini, Vittorio Sambri

“…This study presents a novel amplicon-based whole-genome sequencing (WGS) method using Illumina library preparation kits and proprietary software to optimize workflows and enhance bioinformatic analyses. …”
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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…Methods This retrospective study included 138 patients (78 LGGs, 60 HGGs) with left frontal gliomas. …”
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Edge–Region Collaborative Segmentation of Potato Leaf Disease Images Using Beluga Whale Optimization Algorithm with Danger Sensing Mechanism by Jin-Ling Bei, Ji-Quan Wang

“…Precise detection of potato diseases is critical for food security, yet traditional image segmentation methods struggle with challenges including uneven illumination, background noise, and the gradual color transitions of lesions under complex field conditions. …”
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Detection of antibiotic resistance genes in MRSA whole-genome sequencing: database comparison and antimicrobial susceptibility correlation by Norihito Kaku, Yasuhide Kawamoto, Fujiko Mitsumoto Kaseida, Kosuke Kosai, Hiroo Hasegawa, Koichi Izumikawa, Hiroshi Mukae, Katsunori Yanagihara

“…AIM: This study aims to elucidate the characteristics of various databases for detecting antimicrobial resistance (AMR) genes using whole-genome sequencing (WGS). BACKGROUND: WGS offers a comprehensive detection of AMR genes and has been increasingly utilized to monitor AMR bacteria. …”
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IoT-enabled stepped basin solar stills: Advanced optimization with PSO and ABC algorithms by McLuret, S. Joe Patrick Gnanaraj, Vanthana Jeyasingh

“…This study focuses on optimizing IoT-enabled stepped basin solar stills by integrating the Taguchi method, Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC) algorithms. …”
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