Methods of Possible Application of Cell-Free Amniotic Fluid Analogues in the Practice of a Pediatrician by Kyamal E. Gasanov, Lidiya V. Sorogina, Mikhail S. Parfenov-Mamykin, Anna A. Tsaturova

“…The use of amniotic fluid as a source of stem cells is of great interest in cosmetology, genetics, obstetrics, neonatology and other areas of medicine. …”
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Sentiment Analysis on the PT Pertamina Corruption Case using IndoBERT and RCNN Methods by Wildan Jaya Kusoema, Ichsan Ibrahim

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Statistical Optimization of Culture Medium for Maximal Growth of Novel Aquaculture Probiotic Strain Priestia paraflexa ONG1 by R. Sherlin Chandana Mary, S. Illanjiam

“…This investigation intended to optimize the culture medium for Priestia paraflexa ONG1, a fish probiotic, by combining conventional methods with factorial experimental designs. …”
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A Comparative Study of the Extraction Methods for the Simultaneous Detection of NPS Groups from Urine by M. Kuloglu Genc, S. Mercan, C. Bulut, Z. Turkmen

“…Results: The optimized extraction method was validated in terms of selectivity, linearity, the limit of detection, the limit of quantification, accuracy, and precision. …”
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Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance by Ganesh Selvaraj, Kanimozhi Rajangam, Pradeep Vishnuram, Mohit Bajaj, Ievgen Zaitsev

“…Abstract Microgrids (MGs) have gained significant attention over the past two decades due to their advantages in service reliability, easy integration of renewable energy sources, high efficiency, and enhanced power quality. …”
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Optimizing Location of Car-Sharing Stations Based on Potential Travel Demand and Present Operation Characteristics: The Case of Chengdu by Yu Cheng, Xu Chen, Xiaohua Ding, Linting Zeng

“…This study aims to use different data source with statistical models and machine learning algorithm to help car-sharing operator to choose the optimal location of new stations and adjust the location of existing stations. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

“…The minimum Manhattan distance method is adopted to select a representative knee solution from each algorithm’s Pareto front, determining optimal task service rates and ISP task splits into each time slot. …”
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Isolation and Optimization of Phages Infecting Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> Complex by Jenny Laverde Gomez, Cory Schwarz, Marina Tikhonova, Clark Hamor, Yizhi J. Tao, Pedro J. J. Alvarez, Jacques Mathieu

“…Background: Cattle production is a cornerstone of U.S. agriculture but faces increasing pressure to balance profitability with environmental sustainability. Optimizing the ruminal microbiome to enhance feed efficiency could help address both challenges. …”
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Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation by Oladimeji Ibrahim, Mohd Junaidi Abdul Aziz, Razman Ayop, Ahmed Tijjani Dahiru, Wen Yao Low, Mohd Herwan Sulaiman, Temitope Ibrahim Amosa

“…By leveraging the adaptability of fuzzy logic to adjust PSO parameters dynamically, the method optimizes the allocation and utilization of diverse energy resources within a grid-connected microgrid. …”
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Streptomyces griseorubens as a microbial cell factory for extracellular uricase production and bioprocess optimization using statistical approach by Noura El-Ahmady El-Naggar, Sara M. El-Ewasy, Nancy M. El-Shweihy

“…Thus, there is a continuous demand for screening soil samples derived from a variety of different sources in order to isolate a strain that possesses a high potential for producing uricase. …”
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Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences by Yihao Wang, Xuying Wang, Yixuan Zheng, Zeyuan Liu, Yu Zhang, Jiani Kang, Wenbo Xue, Jing Zhang, Yu Lei

“…To address the concern of optimization problem of China’s PM2.5 control and the limitation of computational efficiencies for traditional air quality models, we developed an integrated analysis framework to efficiently establish the identification and cost-benefit assessment of PM2.5 control pathways in China by constructing a rapid PM2.5 exposure response method based on the high-order decoupled direct method (HDDM) and coupling the sequential least square algorithm (SLSQP) and health impact assessment model. …”
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A Comprehensive Method for Expansion Planning of Active Distribution System Considering Reliability Assessment by Seyed Peiman Mirhoseini, Seyed Mohsen Hashemi, Behnam Alizadeh, Mahdi Tabarzadi

“…The K-means clustering method is used to address the uncertainty of load growth in the planning horizon which is coordinated with a Mixed Integer Linear Programming (MILP) optimization model. …”
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Exploring the Use of <i>Tenebrio molitor</i> Larvae Proteins to Functionalize Durum Wheat Pasta by Serena Carpentieri, Agnieszka Orkusz, Joanna Harasym, Giovanna Ferrari

“…Conclusions: The findings demonstrated the potential of TM flour as a unique source of bioactive compounds enhancing both the nutritional and functional properties of durum wheat pasta. …”
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Optimization of Protein Extraction from Sunflower Meal Using Taguchi Design and Regression Modeling for Human Nutrition Applications by Anca Becze, Marin Senila, Lacrimioara Senila, Lucian Dordai, Oana Cadar, Vanda Liliana Fuss-Babalau, Marius Roman, Levente Levei, Paul Uiuiu, Mihai Octavian Naghiu

“…Mechanical stirring, ultrasound-assisted, and CO₂-assisted extraction methods were evaluated, with mechanical stirring selected for optimization due to its scalability and energy efficiency. …”
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Optimizing Cost-Effective Larval Diets for Mass Rearing of <i>Aedes</i> Mosquitoes in Vector Control Programs by Qianqian Li, Tongxin Wei, Yan Sun, Jehangir Khan, Dongjing Zhang

“…This study evaluated the effects of three larval diets on key fitness traits, including pupation rate, male flight ability, adult longevity, female fecundity, pupal size, and wing length, which are critical for the success of SIT and IIT programs. (2) Methods: <i>Ae. albopictus</i> (GT strain) and <i>Ae. aegypti</i> (AEG strain) were reared on three diets with varying protein sources: diet 1 (≈1.23 dollars/kg; porcine liver/shrimp/yeast = 6:3:1), the IAEA-recommended diet; diet 2 (≈1.78 dollars/kg; bovine liver/shrimp/yeast = 6:3:1), a modified IAEA diet; and diet 3 (≈0.55 dollars/kg; tortoise food), a low-cost laboratory formulation. …”
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Optimization of Microwave-Assisted Extraction Saponins from Sapindus mukorossi Pericarps and an Evaluation of Their Inhibitory Activity on Xanthine Oxidase by Baoqin Deng, Zaizhi Liu, Zhengrong Zou

“…A microwave-assisted extraction (MAE) method was applied to separate saponins from Sapindus mukorossi pericarps. …”
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Multi-Time Scale Optimal Dispatch of Distribution Network with Pumped Storage Station Based on Model Predictive Control by Pengyu Pan, Zhen Wang, Gang Chen, Huabo Shi, Xiaoming Zha

“…To address this, a multi-time scale optimal dispatch method based on model predictive control is proposed, including a day-ahead stage and an intra-day rolling stage. …”
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Optimization and Simulation of Flat Area Sites Based on Probability Matching and Transfer Intensity Using Remote Sensing Precipitation by Chen Yu, Huaiyong Shao, Xingchuan Yang, Gang Liu, Qi Xin, Jiaming Gu

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Green-chemistry of by-products from Sai-Nam-Phueng orange in Thailand (1): Recovering a valuable source of bioactive compounds using response surface methodology, antioxidant, and... by Kanchanok Kodchakorn, Prachya Kongtawelert

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Two-Stage Distributionally Robust Optimal Scheduling for Integrated Energy Systems Considering Uncertainties in Renewable Generation and Loads by Keyong Hu, Qingqing Yang, Lei Lu, Yu Zhang, Shuifa Sun, Ben Wang

“…To further manage uncertainties, a distributionally robust optimization (DRO) approach is introduced. This method uses 1-norm and ∞-norm constraints to define an ambiguity set of probability distributions, thereby restricting the fluctuation range of probability distributions, mitigating the impact of deviations on optimization results, and achieving a balance between robustness and economic efficiency in the optimization process. …”
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