Development and Evaluation of Indigenous Natural Dyes: Extraction Methods, Absorption Efficiency, and Color Fastness on Eri Silk by Priyanku Sarma, Femina Bano Choudhury, Devajit Basumatari, Karabi Kalita, Sasanka Sekhar Ghosh, Binita Basnet Baruah, Shamim Rahman, Jinti Das, Banasri Mech, Sangita Das, Pinky Baruah, Himangshu Baruah, Sanjib Khargharia, Tarali Kalita

“…The study assessed the fastness of washing and light exposure, resulting in the optimization of a standard dyeing recipe for Eri silk with each dye source. …”
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A novel and sturdy MPPT architecture for grid-tied EV charging stations using Ali Baba and forty thieves optimization by Debabrata Mazumdar, Hassan Abdurrahman Shuaibu, Chiranjit Sain, Taha Selim Ustun

“…This approach aims to optimize modelling for all EV fleets. The developed method performs exceptionally well in comparison to other algorithms that have been studied in the literature. …”
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Development of a new method for preparing white flour dough using apple and pumpkin powder by O. V. Perfilova

“…The aim of the research was development of a method for preparing dough from wheat white flour using corn oil and 5% apple and pumpkin powders from marc of the production of direct pressing juice, which are sources of water-soluble antioxidants. …”
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Detection of Methane Emissive “Hot Spots” in Landfills: An Advanced Statistical Method for Processing UAV Data by Maurizio Guerra, Maurizio De Molfetta, Antonio Diligenti, Marco Falconi, Vincenzo Fiano, Chiara Fiori, Donatello Fosco, Lucina Luchetti, Bruno Notarnicola, Pietro Alexander Renzulli, Enrico Sacchi, Nino Tarantino, Marcello Tognacci, Antonella Vecchio

“…Future work should refine UAV flight patterns and data processing with semi-controlled experiments—using known methane sources—to determine optimal acquisition parameters, such as flight height, sampling frequency, grid resolution, and wind influence.…”
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Method Validation and Determination of Ametryn Pesticide in Water Samples by QuEChERS-GC-MS by Luis Felipe Lima Guimarães, Maria Zillene Franklin da Silva, Ronaldo Ferreira do Nascimento, Daniel Barbosa Alcântara

“…This study advances pesticide detection methods, addressing key factors like selectivity, linearity, and matrix effects, while providing insights into degradation byproduct detection and pesticide contamination in water sources.…”
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Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method by Nismah Panjaitan, Juni Arta Lubis, Niken Kristin Silitonga, Muhammad Zaky Faris

“…One option that the business could use is the fault tree analysis (FTA) method, which offers a methodical way to pinpoint the root causes of production inefficiencies to solve this problem. …”
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A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements by Xiaoshuang Jiao, Jinming Chen, Lifeng Jiang, Weiping Li, Xiaochao Yang, Weiwei Wang, Jun Zhang

“…Finally, using inter-node measurements, a pseudo-linear system of equations is constructed to complete the three-node aerial target localization. The method uses satellites as radiation sources to transmit signals, with unmanned aerial vehicles (UAVs) acting as receiving station nodes to capture the signals. …”
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Optimization of factors affecting biogas production from dairy wastewater using Response Surface Methodology and its kinetic and microbial analysis by Sadok Saadia, Benmehdi Houcine, Baraka Abdelhak, Makhloufi Ahmed

“…Anaerobic digestion is one of the most widely used treatment methods for producing methane as an alternative energy source. …”
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Optimal Allocation of Shared Energy Storage in Low-Carbon Parks Taking into Account the Uncertainty of Photovoltaic Output and Electric Vehicle Charging by Shang Jiang, Jiacheng Li, Wenlong Shen, Lu Liang, Jinfeng Wu

“…To address these challenges, this study proposes a two-stage robust optimization method for shared energy storage configuration in a park-level integrated PV–storage–charging system (PV-SESS-CS). …”
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Intelligent Fault Diagnosis of Inter-Turn Short Circuit Faults in PMSMs for Agricultural Machinery Based on Data Fusion and Bayesian Optimization by Mingsheng Wang, Wuxuan Lai, Hong Zhang, Yang Liu, Qiang Song

“…Thirdly, to tackle the issue of hyperparameter tuning in deep learning models, a hyperparameter optimization method based on Bayesian optimization is proposed. …”
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Optimization of bioactive polyphenols recovery from Flammulina velutipes stem waste using nonionic surfactant-integrated ultrasound-assisted extraction by Huimin Huo, Haiying Bao, Hao Yin

“…The process of cultivating edible and medicinal mushrooms results in considerable biomass waste, which can be a rich source of bioactive compounds. This research aimed at optimizing the yield of polyphenols and improving the antioxidant potential of extracts derived from the stem waste of Flammulina velutipes (FVS). …”
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Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images by Xin Ma, Chun Liu, Xun Geng, Sifen Wang, Tao Li, Jin Wang, Pengying Liu, Jiujiang Zhang, Qiudong Wang, Yuying Wang, Yinhui Wang, Zhen Peng

“…Due to a lack of targeted algorithm optimization, existing software tools and methods are unable to meet the photogrammetric processing requirements of massive planetary remote sensing images. …”
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Crucial heat damage analysis and optimization of a mid-sized pickup truck based on a deep Gaussian process model by Zebin Zhang, Sisi Liu, Xianzong Meng, Tingting Wang, Shizhao Jing, Chuanrui Wang, Dongchen Qin

“…Based on simulation results, a multi-objective two-layer deep Gaussian process model predicted heat source temperatures. The positions of cooling components were optimized using a genetic algorithm with heat-sensitive locations as the objectives. …”
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Design and Implementation of Single Axis Solar Tracking System: Utilizing GPS, Astronomical Equations, and Satellite Dish Actuator for Optimal Efficiency by Rizgar Ahmed Salih, Karzan Qadir Mohammed, Peshawa Osman Hama, Rawaz Othman Hassan, Barham Kamal Noori

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Review and Prospect of Modeling Method and Application Scenarios of Virtual Energy Storage under Integrated Energy System by Juan SU, Tuo LI, Junwei LIU, Yue XIA, Songhuai DU

“…Considering the diversity and complexity of energy devices and networks, as well as the disparity in energy time scales, the source, grid and load with adjustable characteristics within the system are modeled as storage elements using energy balance principles, and a virtual energy storage system is constructed with them, which is incorporated into the optimization and scheduling of the IES. …”
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Quantification of Minerals in Edible Mushrooms via Optimized Microwave-Assisted Digestion: Nutritional Contributions of Fe, Mg, Na, K, and Ca by Alejandro R. López, Elena Ortega-Caneda, Estrella Espada-Bellido, Oscar R. Taracena-Zepeda, Miguel Palma, Gerardo Fernández-Barbero

“…Thus, the aim of this study was to determine the mineral composition of different cultivated (<i>A. bisporus</i> and <i>P. ostreatus</i>) and wild edible mushrooms (<i>A. crocodilinus</i>, <i>A. arvensis</i>, <i>A. silvicola</i>, <i>A. impudicus</i>, <i>M. mastoidea</i>, <i>M. rhacodes,</i> and <i>P. ostreatus</i>) collected in the south of Spain and north of Morocco. First, the optimization of a microwave-assisted digestion method was carried out using a Box–Behnken design with a response surface methodology to quantify the total content of five metals: Fe, Mg, Na, K, and Ca in mushrooms. …”
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Apparent and standardized ileal digestibility of calcium in wheat and soybean meal for growing quail chicks using direct method by Sima Heydari, Mahmoud Ghazaghi, Mohammad Rokouei, Mehran Mehri

“…Understanding digestibility metrics is crucial for optimizing dietary formulations to ensure adequate Ca intake, particularly when plant-derived sources of Ca are used.…”
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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…Although experimental methods like CLIP-seq accurately identify RNA–protein binding sites, they are time-consuming and costly. …”
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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…Medical documents are considered an essential source for modern, invented, and robust analysis methods for accurate infection diagnoses. …”
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An Integrated Experimental-Simulation Calibration Method for the Constitutive Model of 6005A-T6 Aluminum Alloy Welds by Yu Zhu, Lele Zhang, Weiyuan Dou, Wen Liu

“…Additionally, the adaptability of the constitutive model to the calibration method and the influence of optimization results are discussed and analyzed. …”
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