Screening, identification and fermentation conditions optimization of agricultural antibiotic-producing bacteria by QIN Baoshan, LIANG Liyun, HE Haiyan, LI Yanting, FU Yue, QIN Yongling

“…The results showed that a strain of agricultural antibiotic-producing strain Ly was screened and identified as Methylobacterium oryzae, which exhibited good antibacterial activity against F. chlamydosporum, Aspergillus aculeatu and Escherichia coli with inhibition zone diameters of 23.11 mm, 12.13 mm, and 6.80 mm, respectively. The optimal fermentation conditions for producing agricultural antibiotics by M. oryzae Ly were liquid loading volume 100 ml/250 ml, soybean cake powder as nitrogen source, fermentation temperature 31 ℃, rotation speed 220 r/min, initial pH 8, and fermentation time 7 d. …”
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Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines by Jiawang Yuan, Shan He, Jing Cheng, Weiqing Wang

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Systematic literature review on optimizing physical activity for HIV and chronic conditions by Tri Johan Agus Yuswanto, Rita Yulifah, Miftahul Munir, Karyo Karyo, Fitriana Kurniasari Solikhah

“…Data sources included PubMed, Google Scholar, Scopus, Web of Science, and PsycINFO. …”
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Power Grid Clock Synchronization Optimization Based on Stackelberg Game Theory by Jiahao Li, Yitao Zhao, Yiming Zhang, Zhiyu Xia, Chuanxu Chen, Quansheng Guan

“…Furthermore, the network simulator Mininet and the open-source software-defined network framework Ryu are used to evaluate the performance of the proposed method. …”
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Optimizing Enzymatic Processes for Enhanced Nutritional and Organoleptic Properties of Chicken Bones by Yuanyuan Zhang, Shengjiang Yu, Chang Liu, Shuai Jiang, Haili Wang, Yuliang Cheng, Yahui Guo, He Qian

“…The increasing demand for poultry products has led to significant by-products, with chicken bones being a rich source of proteins and minerals. The protease hydrolysis of chicken bones has emerged as a key method for extracting chicken bone protein. …”
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Optimizing stocking density for enhanced fish yield in lacustrine cage aquaculture by Christopher Mulanda Aura, Hezron Awandu, Venny Mziri, FondaJane Awuor, Chrispine S. Nyamweya, Safina Musa

“…Fish provides an essential source of high-quality protein and micronutrients, supporting food security worldwide. …”
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Review of carbon emission accounting methods in coal enterprises by Yurong ZHENG, Wenbin SUN, Shouhang DU, Linye ZHU, Yuqi HUANG

“…It is more conducive to understanding the carbon emission characteristics of different carbon sources of coal enterprises by selecting representative mining and open-pit coal mines respectively to improve and optimize the carbon emission accounting model and using them as the blueprint for coal enterprise carbon emission accounting. …”
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A Survey on Hyperparameters Optimization of Deep Learning for Time Series Classification by Ayuningtyas Hari Fristiana, Syukron Abu Ishaq Alfarozi, Adhistya Erna Permanasari, Mahardhika Pratama, Sunu Wibirama

“…This review examines the HPO methods, hyperparameters, and tools utilized in this context based on 77 primary studies sourced from academic databases. …”
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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…To evaluate the effectiveness of the suggested approach, we conduct a comparative analysis against four widely acknowledged metaheuristic methods found in the literature. The assessment is performed using ten standard datasets sourced from the UCI Machine Learning Repository. …”
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Modeling of chronic epilepsy in animals through chemical methods by E. V. Egorova, D. V. Dmitrenko, A. A. Usoltseva, A. M. Iptyshev, N. A. Shnayder, R. F. Nasyrova

“…In 20–40% of cases, according to various sources, it is not possible with standard treatment methods to achieve control over attacks, which significantly impairs the patient’s quality of life, increases economic costs, and poses a difficult task for the doctor to select the optimal treatment to reduce the frequency of attacks. …”
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Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

“…The study compared measured and predicted vibration levels to assess the accuracy of the FTA’s detailed and general prediction methods. Results indicate that detailed assessments tend to overestimate vibration levels, while an optimized general vibration assessment curve offers a more precise estimate. …”
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COMPARATIVE CHARACTERISTICS OF TREATMENT METHODS FOR PATIENTS WITH ODONTOGENIC PHLEGMONS by A.V. Kiptiliy

“…The purpose of the study was to search and analyze scientific sources in Ukraine and the world, regarding the latest methods of treatment of odontogenic phlegmon, features of their course and complications. …”
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Reinforcement learning for process Mining: Business process optimization with avoiding bottlenecks by Ghada Soliman, Kareem Mostafa, Omar Younis

“…The environment was tested using a proprietary dataset containing 3,414 tickets, with event logs sourced from the ServiceNow ticketing system. The findings indicate a significant reduction in the action space, with Q-learning and DQN achieving a decrease of 75% and 67%, respectively.…”
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Optimization and modeling of the insulating and mechanical properties of fired ceramics for sustainable construction by Abiola Oluwasogo Oyediran, Oluwatosin Abiodun Balogun, Ronke Boluwatife Balogun, Seun Ganiyu Mosuru, Abayomi Adewale Akinwande, Opeoluwa Israel Akinradewo

“…This study evaluates the experimental outcomes obtained from the use of locally sourced bulk clay for building construction. Wood sawdust (WSD) was added as a pore former in proportions of 0, 1, 2, 3, 4, and 5 wt%, and firing was performed at 1200 °C and 1400 °C. …”
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Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

“…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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Study on application-oriented evaluation method for stealth materials by CUI Yiwen, LI Peishan, MA Lianfeng, ZHOU Hai

“…The method improves the shape of the test specimen to weaken the interference of the non-examination scattering source on the test results as much as possible. …”
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Study on Optimization of Geothermal Tail Water Reinjection Process in Moderately Deep Sandstone by Hongyan Li, Pengtao Wang, Bin Liu, Xianyu Zhang, Shiyan Guo, Hui Xiao, Hai Huang

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Optimizing energy systems of livestock farms with computational intelligence for achieving energy autonomy by Anatoliy Tryhuba, Taras Hutsol, Jonas Čėsna, Inna Tryhuba, Krzysztof Mudryk, Sławomir Francik, Savelii Kukharets, Ivan Mishchenko, Roman Oliinyk

“…The object of research is the energy systems of livestock farms, including traditional and renewable energy sources. The subject of the study is models and methods of optimisation based on computational intelligence used for energy resource management. …”
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Personalized-Template-Guided Intelligent Evolutionary Algorithm by Dongni Hu, Xuming Han, Minghan Gao, Yali Chu, Ting Zhou

“…Existing heuristic algorithms are based on inspiration sources and have not yet done a good job of basing themselves on optimization principles to minimize and utilize historical information, which may lead to low efficiency, accuracy, and stability of the algorithm. …”
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Electric network topology and method of transmission of electric energy by N. I. Smolentsev, L. M. Chetoshnikova

“…To achieve this goal, a multilevel topology of the electrical network and an asynchronous method for transferring electrical energy between nodes including a load, energy sources, energy storage devices connected in an appropriate manner are proposed. …”
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