Production chain and COVID-19 disruption: Sustainability via flexibility framework a case of the beverage industry by Adedugba Adebayo, Adeyemo Felicia, Oreagba Oluwakemi

“…The study also evaluated a contextual analysis of an organization, the impact of the corona-virus outbreak, and the challenges the organization encountered. A purposive method was utilized as an information-gathering source from 200 participants. …”
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Research progress of main microflora and their roles during strong-flavor Baijiu Daqu fermentation by HE Xiaorong, ZHANG Qing, TANG Jiahuan, LIU Pei

“…In this paper, the main microbial sources in the fermentation process of strong-flavor (Nongxiangxing) Baijiu Daqu, the changes of microorganisms in different fermentation stages, the role of important functional microorganisms, and the methods of microbial community analysis were reviewed, in order to provide scientific basis for optimization of strong-flavor Daqu production process and improvement of Baijiu quality.…”
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A PRISMA systematic review through time on predictive musculoskeletal simulations by Menthy Denayer, Eligia Alfio, María Alejandra Díaz, Massimo Sartori, Friedl De Groote, Kevin De Pauw, Tom Verstraten

“…Finally, we call for quantitative validation to establish comprehensive comparisons between methods. To this end, we share a list of works open-sourcing their codes.…”
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Development of a highly sensitive reporter gene cell line for detecting estrogenic activity (the ER Isjaki assay) by Aline Colonnello Montero, Geeta Mandava, Agneta Oskarsson, Johan Lundqvist

“…Monitoring of estrogens in water sources faces significant challenges, as proposed changes in the European Union regulation for environmental protection of water bodies, compromise the ability of conventional analytical methods to detect low concentrations of estrogens. …”
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Strategic Deployment of a Single Mobile Weather Radar for the Enhancement of Meteorological Observation: A Coverage-Based Location Problem by Bikram Parajuli, Xin Feng

“…Results demonstrate that exact solution methods are ideal when ample time is available for decision-making and optimal deployment locations are desired. …”
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МОНІТОРИНГ ЕФЕКТИВНОСТІ РОБОТИ В ЛОКАЛЬНИХ ЕЛЕКТРОЕНЕРГЕТИЧНИХ СИСТЕМАХ by С.П. Денисюк, Г.С. Бєлоха, К.М. Гілевич, І.С. Чернещук

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Advancing climate resilience: technological innovations in plant-based, alternative and sustainable food production systems by Aleksandar Mešić, Marina Jurić, Francesco Donsì, Luna Maslov Bandić, Slaven Jurić

“…Hydroponics and aquaponics are other alternatives for growing plants using as much as 90% less water and producing more food compared to conventional methods, while vertical farming can increase crop yield per land area, particularly in urban settings, due to its potential to reduce the strain on conventional agricultural land suitable for urban regions. …”
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The Optimization of Supply–Demand Balance Dispatching and Economic Benefit Improvement in a Multi-Energy Virtual Power Plant within the Jiangxi Power Market by Tang Xinfa, Wang Jingjing, Wang Yonghua, Wan Youwei

“…The method takes into account the characteristics and uncertainties of renewable energy sources such as solar and wind energy, and incorporates advanced multi-objective optimization algorithms. …”
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Resilient Operation Strategies for Integrated Power-Gas Systems by Behdad Faridpak, Petr Musilek

“…In this regard, considering the nature of each uncertain variable, a different probabilistic method is utilized. For instance, to account for the influence of power generated from renewable energy sources on the decision-making process, a diurnal version of the long-term short-term memory network is developed to forecast day-ahead weather. …”
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Optimization of Odorous Compounds Analysis in Water Using Headspace-SPME and GC-MSD, and Detection Characteristics in the Nakdong River Basin by Heejong Son, Pilkyeong Lee, Goeun Kim, Seongho Jang, Byungryul An

“…Furthermore, continuous research is needed on various odorous compounds beyond the 10 odorous compounds in this study, including the optimization of analytical methods and the detection characteristics in water sources.…”
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Future of Agrivoltaic projects: A review from the technological forecasting perspective by Leticia Pekk, Petar Sabev Varbanov, Ting Pan, Zoltan Weltsch, Bernadett Radli-Burjan, Andras Hary, Xue-Chao Wang

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Optimization of the treatment of caries permanent teeth with different degree of enamel resistance beside children with innate unjoining lip and palate by G. G. Ashurov, S. A. Obidov, S. M. Karimov

“…Aim. To select the optimal method for caries treatment of permanent teeth with different degree of enamel cariesresistance in children with innate unjoining lip and palate.   …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…We conduct several experiments to confirm our method’s effectiveness. Our proposed method works well for scenarios where semantic clustering of the scene is possible. …”
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Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

“…This study presents a comparative analysis of multiple nature-inspired algorithms for solving the non-polynomial Optimal Power Flow (OPF) problem. Through numerical evaluations, we assess their performance across diverse objective functions, addressing complexities such as multi-fuel sources, valve point effects, and prohibited zones. …”
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Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction by Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Nasrin Salehi, Mahyar Moradi, José J. M. Machado, João Manuel R. S. Tavares

“…A hybrid network is modeled, comprising a wind turbine with a doubly-fed induction generator (DFIG), a solar power plant with photovoltaic (PV) cells, an MPPT system, a Z-source converter, and a storage system. The proposed approach employs a motion detection-based method, utilizing image-processing techniques to optimize the MPPT of PV cells based on shadow movement patterns within the solar power plant area. …”
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Research on Distribution Network Security Analysis Based on K(N-1+k) Criterion and Rank Preference Optimal Ordering by Wang Zengping, Yao Yuhai, Yu Junya, Yun Chentai

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Optimized ultrasound-assisted extraction for phenolic and antioxidant analysis in purple senggani (Melastoma malabathricum) flowers: Influence of developmental stages by Dea Tio Mareta, Umar Santoso, Supriyadi, Widiastuti Setyaningsih

“…This study aimed to optimize the UAE method to analyze phenolic compounds across different flower developmental stages, which affect total phenolic content (TPC) and total antioxidant capacity (TAC). …”
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Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

“…This article focuses on designing and developing Enhanced NLP with Data-driven Product Reviews Classification using the improved chaotic fruit fly optimization (ENLPPR-ICFFO) method. The major goal of the ENLPPR-ICFFO method is to detect and classify the sentiments existing in product ratings. …”
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Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…To address these challenges, this research introduces an innovative method that integrates Robust Seasonal-Trend Decomposition (RSTL) with an Adaptive Seagull Optimisation Algorithm (ASOA)-optimized Long Short-Term Memory (LSTM) neural network. …”
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Weld Bead Shape and Formation Prediction for Robotic MIG Welding Process Using Numerical Calculation by Ping Yao, Yunyi Huang, Riheng He, Junxi Huang, Meiyi Chen, Wenxiao Yu, Kang Zhou

“…To optimize the robotic MIG welding process for joining 316 L stainless steel sheets and to clearly understand the process, a new numerical model for a combined heat source, based on a Gaussian surface and Gaussian cylinder, was developed using ANSYS software. …”
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