Optimizing surfactin yield in Bacillus velezensis BN to enhance biocontrol efficacy and rhizosphere colonization by Tongshu Liu, Yanli Zheng, Litao Wang, Xu Wang, Haiyan Wang, Yongqiang Tian

“…However, the practical application of surfactin is currently limited by its low yield in natural strains.MethodsThis study aimed to optimize the culture conditions for Bacillus velezensis BN, a strain with exceptional biocontrol properties, to enhance its surfactin yield. …”
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Robust Optimization for Microgrid Management With Compensator, EV, Storage, Demand Response, and Renewable Integration by Hamid Hematian, Mohamad Tolou Askari, Meysam Amir Ahmadi, Mahmood Sameemoqadam, Majid Babaei Nik

“…The model primarily addresses challenges arising from the integration of power electronics-based generation units, the unpredictable nature of demand in microgrids, and the integration of small-scale renewable energy sources. The proposed model includes detailed formulations for MG energy management, covering optimal battery usage, efficient EV energy management, compensator usage, and strategic dispatching of DG resources. …”
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Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm by Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou

“…Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. …”
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Search direction optimization of power flow analysis based on physics-informed deep learning by Baoliang Li, Qiuwei Wu, Yongji Cao, Changgang Li

“…Power flow analysis is crucial for obtaining power system operation states and optimizing control measures. The increasing integration of renewable energy sources has resulted in a more complex power system, posing challenges to the computational efficiency and convergence of conventional power analysis methods. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Hyperparameter optimization using Bayesian methods enhances predictive performance. …”
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Multi-Time Scale Coordinated Optimization of Energy Systems Under Flexible Load Response by Jinfeng Gao, Daifeng Gao, Chun Xiao

“…To address these challenges, this study investigates multi-time scale collaborative optimization of energy systems based on flexible load response, utilizing a combination of qualitative and quantitative methods. …”
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Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

“…This review explores the significance of integrating high-resolution UAS and satellite imagery via pixel-based, feature-based, and decision-based fusion methods. The study investigates optimization techniques, spectral synergy, temporal strategies, and challenges in data fusion, presenting transformative insights such as enhanced biomass estimation through UAS-satellite synergy, improved nitrogen stress detection in maize, and refined crop type mapping using multi-temporal fusion. …”
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A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…One significant branch of modern control algorithms concerns reinforcement learning, a data-driven strategy capable of dynamically managing renewable energy sources and other energy subsystems under uncertainty and real-time constraints. …”
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Chance-constrained optimal schedule of battery energy storage considering the uncertainties of renewable generation by Zhi Li, Dawei Xie, Haifeng Ye, Yujun Li, Jinzhong Li, Yichi Chen, Yue Yang

“…Since renewable energy generation has strong uncertainties and pure conventional unit dispatch schemes are limited by the unit-operating capacities, such scheduling is inapplicable for power systems with high proportions of renewable energy sources (RESs). We propose an optimal scheduling model for battery energy storage systems (BESSs) by considering the uncertainties of RESs. …”
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Research on optimization technology of new pipeline design for regional natural gas pipeline network by Jingyi CUI, Kunfeng ZHU, Cuixian GAO, Li GU, Jing REN, Yuxing LI, Wuchang WANG

“…To meet future gas demand and enhance the efficiency of pipeline design, it is essential to review and analyze existing pipeline planning and design methods, as well as optimization algorithms. There is an urgent need to develop a set of design optimization methods suitable for complex pipeline network systems with multiple gas sources, numerous users, and aging pipeline infrastructures. …”
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Formative research to optimize pre-eclampsia risk-screening and prevention (PEARLS): study protocol by Nicole Minckas, Alim Swarray-Deen, Sue Fawcus, Rosa Chemwey Ndiema, Annie McDougall, Jennifer Scott, Samuel Antwi Oppong, Ayesha Osman, Alfred Onyango Osoti, Katherine Eddy, Mushi Matjila, George Nyakundi Gwako, Joshua P. Vogel, A. Metin A. Gülmezoglu, Adanna Uloaku Nwameme, Meghan A. Bohren, the PEARLS Trial collaborative group

“…Data will be analyzed using thematic analysis and triangulated across sources and participant groups. The findings will inform trial design and help optimize implementation. …”
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Machine learning optimization of microwave-assisted extraction of phenolics and tannins from pomegranate peel by Fatemeh Mobasheri, Mostafa Khajeh, Mansour Ghaffari-Moghaddam, Jamshid Piri, Mousa Bohlooli

“…However, there is still a lot of difficulty dealing with the extraction of these substances due to the limitations of traditional methods. Microwave-assisted extraction (MAE) has shown promise, but optimizing it for maximum efficiency and yield remains a challenge. …”
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Induced zero-phase synchronization as a potential neural code for optimized visuomotor integration by Kirstin-Friederike Heise, Geneviève Albouy, Nina Dolfen, Ronald Peeters, Dante Mantini, Stephan P. Swinnen

“…This optimized information integration (‘predictive coding') results in a global behavioral advantage of anticipated action in the presence of uncertainty. …”
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Desalination and Sterilization of Sea Water Using Active Optimized Optical Heat Concentration System by Hifsa Shahid, Umar Rashid, Haris Anwaar, Muhammad Salim Butt, Fahim Gohar Awan, Farhan Ahmad Butt, Frederic Nzanywayingoma

“…Carbon emissions from these sources cause breathing problems and ozone depletion. …”
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Comparing the impact of cumulative insulin resistance surrogates exposure on stroke: optimizing prevention strategies by Dezhi Hong, Xiaohui Li, Guotai Sheng, Hongyi Yang, Wei Wang, Yang Zou

“…Methods The study population was sourced from the China Health and Retirement Longitudinal Study (CHARLS2011-2018). …”
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Power quality assurance in the electrical network of the Syrian Arab Republic, using the active power filter by R. R. Nasyrov, R. Aljendy, T. Kherbek

“…The definition of the optimal capacitance of the AF dc link using the particle swarm method is given in order to minimize the total non- sinusoidal current and voltage in the studied electrical network.…”
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Construction of and Low-Carbon Optimization Strategies for Block-Level Carbon Emission Control Unit by Wenjie LI, Yingsheng ZHENG, Qingfang ZHANG, Qiuyun ZENG

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Leader selection based Multi-Objective Flow Direction Algorithm (MOFDA): A novel approach for engineering design problems by Nima Khodadadi, Mohammad Ehteram, Hojat Karami, Mohammad H. Nadimi-Shahraki, Laith Abualigah, Seyedali Mirjalili

“…These conventional methods often fail to find Pareto optimal solutions and to represent all objectives fairly. …”
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A Full Chain of Applying Struvite Recovered from Biogas Slurry to Promote Vegetable Growth by Yunhan Li, Wei Wang, Linhe Sun, Jian Cui, Xiaojing Liu, Jixiang Liu, Yajun Chang, Dongrui Yao

“…The N and P recovery efficiency was higher when magnesium chloride (MgCl₂) was used as a magnesium (Mg) source compared with magnesium oxide (MgO), and the optimal reaction conditions were pH 10, a reaction time of 20 min, a stirring rate of 200 rpm, and a Mg/P/N ratio of 1.2:1.0:1.0, which achieved N and P recovery rates of 81.83% and 99.67%, respectively. …”
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