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

“…Methods Streptomyces sp. strain NEAE-5 demonstrated a significant capacity for uricase production was identified based on the physiological, morphological and biochemical characteristics, as well as 16S rDNA sequencing analysis. …”
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An evaluation and optimization of nutrition, environmental footprint, and food waste in Italian primary school menus: a case study by Giorgia Vici, Debora Giustozzi, Dalia Camilletti, Silvia Zufolino, Laura Malandrino, Sofia Renzi, Stefania Pucciarelli, Silvia Vincenzetti, Luca Belli, Valeria Polzonetti

“…Methods This case study involves the nutritional assessment analysis of the canteen menus (the baseline and the revised one) to evaluate energy and macronutrient intake. …”
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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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Evaluation of the Functional Properties and Edible Safety of Concocted Xanthii Fructus Protein by Yuchen Dong, Zihao Wan, Fuguo Han, Xuemei Fan, Yanli Hao, Fang Wei, Qingfei Liu

“…The concocting process could significantly improve its safety, and the concocted proteins were worth developing as a food source. In the future, the processing conditions should be further optimized and more systematic investigation should be performed to ensure the safety of XF as a food source.…”
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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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Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios by Susanta Dutta, Tushnik Sarkar, Chandan Paul, Sabbir Reza Tarafdar, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Comparative analysis has also been done on the performance of the other optimization methods that were showcased in the latest ORPD research. …”
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Risk–Cost Equilibrium for Grid Reinforcement Under High Renewable Penetration: A Bi-Level Optimization Framework with GAN-Driven Scenario Learning by Feng Liang, Ying Mu, Dashun Guan, Dongliang Zhang, Wenliang Yin

“…Spatial congestion maps and scenario risk-density plots further illustrate the ability of adversarial learning to reveal latent structural bottlenecks not captured by conventional methods. This work offers a new methodological paradigm, in which optimization and generative AI co-evolve to produce robust, data-aware, and stress-responsive transmission infrastructure designs.…”
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A High-Entropy True Random Number Generator with Keccak Conditioning for FPGA by Valeria Piscopo, Alessandra Dolmeta, Mattia Mirigaldi, Maurizio Martina, Guido Masera

“…This work presents a highly parameterized, open-source implementation of a TRNG based on ring oscillators, complemented by an optimized Keccak conditioning unit. …”
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Unlocking the thermoelectric potential of nanocrystalline magnesium selenide thin films grown by single stage horizontal tube furnace (SSHTF) by Anas Al Tarabsheh, A. Rehman, K. Javaid, Lamia Ben Farhat, A. Ali, K. Mahmood, M. Yasir Ali, S. Ikram, Jolly Jacob

“…We have observed some promising values of the Seebeck coefficient (7.175 × 10−5 V/°C) and power factor (6.35 × 10−8 Wm−1oC−2) at optimized source-to substrate distance. These encouraging results will open the door for MgSe-based thermoelectric research and further explore its power generation potential in the future.…”
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Embodied Intelligence Empowering Customized Manufacturing: Architecture, Opportunities, and Challenges by Jinbiao Tan, Jianhua Shi, Ligang Wu, Baotong Chen, Hao Tang, Chunhua Zhang, Wujie Zhang, Shiyong Wang, Jiafu Wan

“…However, current AI systems in CM remain isolated and lack methods for environmental interaction with multi-source perception and feedback, hindering the development of autonomous, evolving intelligent systems. …”
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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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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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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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Sustainable Extraction of Fresh Banana Inflorescence by ASE: Optimization and Characterization of Anthocyanin Rich Extracts by LC-UV-MS/MS by Nuwanthi Senevirathna, Morteza Hassanpour, Ian O’Hara, Azharul Karim

“…Accelerated solvent extraction (ASE) has emerged as an efficient and less energy-consuming method for isolating these compounds. This study investigates the optimization of ASE for the extraction of phenolic compounds, including anthocyanins, from fresh banana inflorescence. …”
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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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A 57-64 GHz High-gain Amplifier using Ultra-wideband Inductors in the IMNs and Optimization by PCA and SDSM by Ahmadali Ashrafian, Mahmoud Mohammad-Taheri, Mohammad Naser-Moghaddasi, Mehdi Khatir, Behbod Ghalamkari

“…In this paper, the design and optimization of a cascaded common source four-stage millimeter wave amplifier in a 130 nm CMOS technology has been presented. …”
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Uncertain Parameters Adjustable Two-Stage Robust Optimization of Bulk Carrier Energy System Considering Wave Energy Utilization by Weining Zhang, Chunteng Bao, Jianting Chen

“…To ensure safe and reliable navigation despite uncertainties in wave energy output, onboard power loads, and outdoor temperature, a robust coordination method is adopted. This method employs a two-stage robust optimization (RO) strategy to coordinate the various onboard units across different time scales, minimizing operational costs while satisfying all operational constraints, even in the worst-case scenarios. …”
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Motion Gait Recognition of Lower Limb Exoskeleton Based on Particle Swarm Optimization-Based Extreme Learning Machine Algorithm by Ting Liu, Kai Liu, Wuyi Luo, Jiange Kou, Haoran Zhan, Guangkai Yu, Qing Guo, Yan Shi

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