Cultivation Optimization and Structural Characterization of <i>Stephanocyclus meneghinianus</i> for Sustainable High-Quality Biosilica Production by Daeryul Kwon, Yoseph Seo, Chaehong Park, Sang Deuk Lee, Taek Lee

“…This study investigates the potential use of the freshwater centric diatom <i>Stephanocyclus meneghinianus</i> as a sustainable source of high-purity biosilica. We analyzed its morphology, microstructure, and optimal culture conditions, and developed a pretreatment method to recover intact biosilica frustules. …”
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Screening and Optimization of L-Methioninase Production by Gram-Negative Bacteria from Various Hospitals in Baghdad City by Zahraa Mohammed Wahib, Sahira Nsayef Muslim, Farha A. Ali Shafi

“…The screening for detecting L-methioninase production was performed by semi-quantitative and quantitative analysis, the results revealed that out of all obtained isolates, 31(41.33%) were L-methioninase producers from semi-quantitative screening while by quantitative method only 16 isolates out of these 31 isolates revealed specific activity ranged from 0.19 to 1.15 U/mg and the maximum specific activity was for E. coli U8, which was chosen as best producer isolates. …”
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Analysis of software methods for metal computed tomography artifact reduction: experimental research by A. V. Petraikin, Yu. A. Vasilev, Z. R. Artyukova, A. K. Smorchkova, D. S. Semenov, А. А. Baulin, A. A. Alikhanov, R. A. Erizhokov, O. V. Omelyanskaya

“…To conduct a visual (qualitative) and quantitative assessment of metal artifacts in CT images using software methods for their reduction.Materials and methods. …”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…In this review, we delve into the latest progress in the inverse design of nanophotonic devices, where AI and optimization methods are leveraged to automate and enhance the design process. …”
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Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model by Guowei Li, Gang Tang, Jingyu Zhang, Qun Sun, Xiangjun Liu

“…This paper presents a prediction method of ship heave motion based on the particle swarm optimization (PSO) and convolutional neural network–long short-term memory (CNN-LSTM) hybrid prediction model. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Multi-event mode and time-gating method are extensively employed due to their effective suppression ability of the ambient light interference with easily implemented circuit structure. …”
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Extraction Process Optimization of Flavonoids from Lycium barbarum Root and Its Antioxidant and Hypoglycemic Activities in Vitro by Jiayi WEI, Lu LU, Lutao ZHANG, Bo JIN, Haoqi NING, Yanping LI, Jia MI, Yamei YAN

“…The optimization of the ethanol extraction method for Lycium barbarum root flavonoids was based on the total flavonoid content. …”
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Optimizing yield properties of bitter melon (Momordica charantia L.) plant by integrative application of poultry manure by Gulsum Yaldiz, Mahmut Camlica, Deniz Dasdemir

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Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology by Jiyou An, Yuanjie Du, Jianchun Yan, Hai Wei, Huanxiong Xie

“…The Box–Behnken response surface methodology and expectation function method were employed to model and optimize the quality of far-infrared drying of paddy graphene. …”
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A Novel Method for Determining Optimum Dimension Ratios for Small Rectangular Rooms by Mirosław MEISSNER

“…Thus, to find the best possible dimension ratios, in the numerical procedure the optimal source position was assumed. Calculation results have shown that optimum dimension ratios depend on the room volume and the sound damping inside a room, and for small and medium volumes these ratios are roughly 1 : 1.48 : 2.12, 1 : 1.4 : 1.89 and 1 : 1.2 : 1.45. …”
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Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response by Fengliang XU, Keqian WANG, Wenhao WANG, Peng WANG, Wenye WANG, Shuai ZHANG, Fengzhan ZHAO

“…With the high penetration rate of distributed photovoltaic access and the promotion of re-electrification and electrical energy substitution, the volatility of the system source and load is intensified, and the traditional distribution network planning methods are difficult to adapt to the requirements of the new power system development. …”
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A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning by Zemin Eitan Liu, Wennan Long, Zhenlin Chen, James Littlefield, Liang Jing, Bo Ren, Hassan M. El-Houjeiri, Amjaad S. Qahtani, Muhammad Y. Jabbar, Mohammad S. Masnadi

“…The proposed framework could be further utilized for future large-scale network optimization practices.…”
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Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

“…Due to the distinct characteristics of centralized and distributed PV installations, large-scale mapping methods based on satellite remote sensing are insufficient for creating detailed PV distribution maps. …”
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Optimization of Grassland Carrying Capacity with Grass Quality Indicators Through GF5B Hyperspectral Images by Xuejun Cheng, Maoxin Liao, Shuangyin Zhang, Siying Wang, Yiyun Chen, Teng Fei

“…Previous remote sensing methods have predominantly focused on yield indicators, often neglecting quality indicators, which hampers precise GCC estimation. …”
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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

“…We introduced a novel optimization technique for both machine learning and deep neural networks, comparing its performance to established methods like the Jaya optimization technique and GridSearchCV. …”
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A multi-objective synergistic optimization model considering the water-energy-food-carbon nexus and bioenergy by Gaiqiang Yang, Yuxin Su, Lijuan Huo, Dongpeng Guo, Yusi Wu

“…The research methodology integrates multi-objective optimization theory with the ideal point method to obtain optimization solutions. …”
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Optimization and assessment of an integrated workflow for the isolation and proteomic analysis of small urinary extracellular vesicles (suEVs) by Yilan Hu, Jifeng Wang, Xiaoqing Qing, Tanxi Cai, Lili Niu, Xiang Ding, Zhensheng Xie, Mengmeng Zhang, Xiaojing Guo, Xiulan Chen, Fuquan Yang

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Construction and Application of Intelligent O&M System for Urban Rail Transit Signaling Systems by YU Meng, LU Huaike, LIANG Zhe, FAN Zichao, GAO Ning

“…The goal is to break through the technical and managerial bottlenecks of traditional O&M models and achieve efficient, precise, and sustainable O&M system. [Method] By integrating multi-source heterogeneous data and building a multi-layer architecture, the system enables real-time equipment status monitoring and degradation trend analysis, significantly improving data utilization and fault identification capabilities. …”
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Life cycle cost of communication towers: identification and hierarchical classification of influencing factors by Jing Zhang, Yang Wang, Qianyi Xu, Hongshuai Gao

“…An integrated Grey-SNA-ISM model was then developed. The method identified 49 factors influencing LCC, integrated Grey-SNA centrality indicators, and established four network hierarchies, which include source-driven, intermediary conduction, collaborative central control, and outcome response. …”
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Optimization of medium components for the production of exopolysaccharide by Lycoperdon pyriforme Schaeff.: Pers. using response surface methodology by MA Xiaokui, JIANG Hua, LI Junzhi, CHEN Yong, HE Xiaojing

“…The concentration of EPS was measured by phenol-sulfuric acid method. For the optimization of medium components for enhanced EPS production, RSM was subsequently applied in this study. …”
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