Mitigation of human factor in tomographic post processing of additive manufactured critical parts for aviation application by Stefano Benuzzi, Davide Borghi, Maria Grazia Righi, Natanaele Galavotti, Fabio Esposito

“…The design freedom that Additive Manufacturing allows, enables the designer to develop increasingly optimized parts, capable of joining different geometries (lattice structures, thick walls, geometries optimized for heat dissipation) on a scale that can vary significantly depending on the required application. …”
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Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

“…The developed model is open-source, enabling scientists and engineers to use it for analyzing, optimizing, and managing nuclear reactors, thereby contributing to technological advancements and knowledge dissemination in this field.…”
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Biotechnological valorization of sugar beet wastes into value-added products by Azhar Makambai Kyzy, Aichurok Mazhitova

“…The sugar beet processing in the sugar production industry releases huge amounts of sugar beet pulp, lime residue, and molasses, which can be considered a valuable by-product as a source of cellulose, hemicellulose, and pectin. Sugar beet pulp is often used as a high-energy, low-protein supplement for ruminants to promote optimal rumen health and increase milk production. …”
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Integrated Energy Management in Small-Scale Smart Grids Considering the Emergency Load Conditions: A Combined Battery Energy Storage, Solar PV, and Power-to-Hydrogen System by Hossein Jokar, Taher Niknam, Moslem Dehghani, Pierluigi Siano, Khmaies Ouahada, Mokhtar Aly

“…Compared to conventional evolutionary methods like particle swarm optimization, non-dominated sorting genetic algorithm III, and biogeography-based optimization, the proposed model exhibits remarkable improvements, outperforming them by 11.4%, 5.6%, and 11.6%, respectively. …”
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Distributed Parameter Identification Framework Based on Intelligent Algorithms for Permanent Magnet Synchronous Wind Generator by Xiaoxuan Wu, De Tian, Huiwen Meng, Yi Su

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Economic sizing and placement of hydrogen fueling and electric vehicles charging stations powered by renewable and battery systems in smart distribution network by Mehdi Veisi

“…Its goal is to minimize the sum of annual energy losses and operation costs within the grid, governed by linearized optimal power flow model. To account for uncertainties in demand, energy prices, renewable generation output, and refueling station performance, a stochastic optimization framework is employed. …”
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Developing a Drowsiness Detection System for Safe Driving Using YOLOv9 by Fernando Candra Yulianto, Wiwit Agus Triyanto, Syafiul Muzid

“…The model performance was evaluated based on precision, recall, F1 score, and mean average precision (mAP) metrics. The best model was optimized using several optimization techniques to determine the most optimal results. …”
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Risk factors for mortality and implications on therapy for Stenotrophomonas maltophilia bacteraemia by Matthew Chung Yi Koh, Jinghao Nicholas Ngiam, Lionel Hon-Wai Lum, Nares Smitasin, Ka Lip Chew, David Michael Allen

“…Bacteraemia is associated with significant morbidity, despite antibiotic therapy. Optimal treatment strategies for Stenotrophomonas maltophilia bacteraemia remain ill-defined. …”
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Vineyard pruning-wood waste valorisation: sustainable extraction of bioactive compounds by Elisabetta Tumminelli, Valeria Cavalloro, Valeria Cavalloro, Chiara Ingrà, Alessandra Ferrandino, Alessio Porta, Giorgio Marrubini, Emanuela Martino, Emanuela Martino, Daniela Rossi, Simona Collina

“…Accordingly, it represents a valuable source of biologically active phytochemicals with potential industrial outcomes.MethodsThe present study aimed to exploit grapevine pruning residues as a source of (E)-resveratrol and (E)-ε-viniferin through the set-up of a low environmental impact procedure which involves first a microwave-assisted solvent extraction (MASE) followed by a protocol suitable for the isolation of (E)-resveratrol and (E)-ε-viniferin from the MASE extract. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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Disinfection Performance Improvement of UV Reactor by Baffle Design by Nakwon Jo, Woochul Hwang

“…A computational fluid dynamics (CFD) analysis was conducted to simulate the turbulent flow within the reactor, while the UV fluence rate distribution was predicted using the Multiple Segment Source Summation (MSSS) method. This method was implemented as a user-defined function and integrated into the commercial CFD software ANSYS CFX 2023R1. …”
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Production of subtilisin proteases in bacteria and yeast by A. S. Rozanov, S. V. Shekhovtsov, N. V. Bogacheva, E. G. Pershina, A. V. Ryapolova, D. S. Bytyak, S. E. Peltek

“…Details are provided on the methods for expression optimization of industrial subtilases of various strains: the details of the most important parameters of cultivation, i. e., composition of the media, culture duration, and the inf luence of temperature and pH. …”
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Characterization of Red Dragon Fruit Wine Fermented with a Newly Identified Yeast Strain Saccharomyces cerevisiae M7 by Tran Thanh Quynh Anh, Nguyen Tien An, Do Thi Bich Thuy

“…The most potent candidate was identified by the DNA sequencing method and subjected to an optimization study using a one-factor-at-a-time approach to optimize the conditions for red dragon fruit wine fermentation. …”
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Back to chromite as a mineralogical strategy for long-term chromium pollution control by Tianci Hua, Yanzhang Li, Yuxuan Hu, Rongzhang Yin, Yanan Zhang, Bingxu Hou, Houze Lu, Xiang Ji, Xiangzhi Bai, Anhuai Lu, Yan Li

“…To tackle the complexities of non-point source Cr pollution, we employ microbial methods to regulate on-site Eh and pH, optimizing chromite precipitation. …”
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Optimasi Pretreatment melalui Metode Hydrothermal Pressure dan Pelarut Alkali pada Produksi Bioetanol dari Lemna minor by Abdur Rahman Arif, Andi Evi Erviani, Hasnah Natsir, Ilham Haidir, Maudy Audina Affandy

“…Kombinasi proses pretreatment memberikan hasil yang cukup baik terhadap proses degradasi lignin yang terkandung dalam sampel Lemna minor sehingga sangat efektif digunakan dalam proses pembuatan bioetanol dengan bahan dasar biomassa.   Optimization Pretreatment through Hidrothermal Preassure and Alkaline Solvent Methods in Bioethanol Production from Lemna minor. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…For the foreseeable future, using affordable imaging offers tremendous potential in place of conventional field methods. To evaluate the contamination level, a basic standard reference i.e., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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Supercritical Extraction Technology of Obtaining Polyunsaturated Acids from Starfish (Lysastrosoma anthosticta Fisher, 1922) by Alexander M. Zakharenko, Konstantin Yu. Kirichenko, Igor A. Vakhniuk, Kirill S. Golokhvast

“…Study objects and methods. The study defined the optimal parameters for extracting the lipid fraction of Lysastrosoma anthosticta with supercritical carbon dioxide, as well as the qualitative composition of the obtained extracts. …”
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CINNAMON-GUI: Revolutionizing Pap Smear Analysis with CNN-Based Digital Pathology Image Classification [version 1; peer review: 2 approved] by Luca Zammataro

“…However, existing commercial platforms are often costly and restrictive, limiting customization and scalability. Methods CINNAMON-GUI is an open-source digital pathology tool based on CNNs for classifying Pap smear images. …”
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Classifying detrital zircon U-Pb age distributions using automated machine learning by Jack W. Fekete, Glenn R. Sharman, Xiao Huang

“…In synthetic experiments, AutoML models effectively classify samples by their sources when inter-source similarity across few sources is low to moderate and samples have more than ∼50 analyses. …”
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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging by Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

“…Noise present during data acquisition from the testing setup was determined to be the primary source of concern for Noise2Inverse viability. While these limitations exist, incorporating dose calculations and optimal imaging parameters enables self-supervised deep learning methods such as Noise2Inverse to be integrated into existing experiments to decrease radiation dose.…”
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