Drying kinetics and color changes of anchovies in solar and open sun drying by Aaisha Al-Saadi, Pankaj B. Pathare, Mohammed Al-Rizeiqi, Ismail Al-Bulushi, Abdulrahim Al-Ismaili, Mai Al-Dairi, Mohammed Al-Belushi

“…Abstract The drying process is a critical heat treatment widely used in the food industry due to the increasing global demand for dried foods. …”
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Rapid Detection of Key Phenotypic Parameters in Wheat Grains Using Linear Array Camera by Wenjing Zhu, Kaiwen Duan, Xiao Li, Kai Yu, Changfeng Shao

“…The phenotype analysis of wheat using the image processing techniques presented in this study shows strong consistency with manual detection methods, providing valuable quantitative data to assist in breeding selection and accelerate genetic improvement practices.…”
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Prevalence and determinants of child immunization coverage in Ethiopia: Evidence from the 2019 mini-demographic and health survey by Gebrecherkos Teame Gebrehiwot, Mulugeta Tilahun, Haftu Gebrehiwot, Hayelom Kahsay, Gebremicheal Gebregziabher, Senait Haddis, Mesfin Tesfay, Girmay Alemseged, Gebreselassie Alemseged, Mebrahtu Kalayu, Goitom Yisfa, Merhawi Alemu, Haileselassie Bisrat Bidre, Teshale Teklue

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Improving Steam Turbine Plants Performance Through Advanced Testing and Simulation by Milan V. Petrovic, Srdjan Milic, Djordje Petkovic, Teodora Madzar, Nikola M. Markovic

“…The developed method for process simulation enables the calculation of overall performance, like specific heat rate and thermal efficiency, as well as the performance of individual components under various operational conditions. …”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…On the public dataset, we tested performance at different data loss rates. Results show that, compared to a standalone GRU model and a VMD + GRU model, the VMD + SSA + GRU model’s reconstruction data root mean squared error is reduced by 46.61% and 32.57% on average, respectively, while the coefficient of determination increases by 38.74% and 18.50%. …”
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Sustainable Energy Practices in Cabbage Production in Niğde Province of Türkiye by Tefide Kizildeniz, Melek Nur Kilit

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Preparation of Deuterated Cation Exchange Resin by Ion Exchange by Cheng-yang LUO, Jiang-feng SONG, Lin-sen ZHOU, Chang-an CHEN, Ning HE, Bin YU, Jian-bo YANG

“…ICP-OES analysis further indicates that a deuteration rate of 98% is achieved when the DCl concentration exceeds 0.8 mol/L. …”
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Mechanism- and data-driven algorithms of electrical energy consumption accounting and prediction for medium and heavy plate rolling by Qiang Guo, Zimeng Zhou, Jie Li, Fengwei Jing

“…Starting from the perspective of integrating process mechanism and industrial big data, we overcame the difficulties brought by complex and highly nonlinear coupling of process variables, proposed a rolling power consumption accounting algorithm based on time slicing method, and gave a calculation method for the additional power consumption of the main motor for rough rolling and finishing rolling (auxiliary system power consumption, power loss, main motor power consumption deviation); with the help of SIMS model, forward recursion, and reverse recursion pass rolling force estimation strategies are proposed, and the rated power consumption of the main motor was predicted. …”
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Digital Transformation in Agricultural Supply Chains Enhances Green Productivity: Evidence From Provincial Data in China by Haiyan Yu, Wuniu Qubi, Juan Luo

“…Moreover, digital agricultural solutions reduce crop disaster rates, thereby improving resilience and further driving green productivity. …”
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Assessing the Impact of USMLE Step 1 Going Pass-Fail: A Brief Review of the Performance Data by Kevan English

“…In this article, we assess the USMLE Step 1 performance data since the change in scoring and some factors that may have contributed to the lower passing rates among all medical students.…”
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A self-growth convolution network for thermal and mechanical fault detection with very limited engine data by Gou Xin, Zhu Xiaolong, Wang Xinwei, Wang Hui, Zhang Junhong, Lin Jiewei

“…Due to the scarcity of fault data, diagnostic models are always facing a very limited data problem. …”
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Updated fine-scale location data for Blantyre district collected using a low-cost approach by Chifuniro Baluwa, Patrick Ken Kalonde, Upendo Lisa Mseka, Owen Tsoka, Kingsley Kajanga, Faith Chimphondah, Prince Time Matope Aaron, Francis Chimbalanga, Blessings Chiepa, Clinton Nkolokosa, Latif Ndeketa, Patrick Musicha, Kondwani Charles Jambo, Michelle C. Stanton, James Chirombo

“…Associated costs were calculated based on MLW standard rates. This process highlighted the critical importance of accurate geolocation for public health research and interventions. …”
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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…The understanding of cellular behavior relies on the integration of metabolism and its regulation. Multi-omics data provide a detailed snapshot of the molecular processes underpinning cellular functions and their regulation, describing the current state of the cell. …”
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Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China. by Minmin Sun, Yuan Zhang, Jing Ma, Wenping Yuan, Xianglan Li, Xiao Cheng

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False Data Injection Attacks on Reinforcement Learning-Based Charging Coordination in Smart Grids and a Countermeasure by Amr A. Elshazly, Islam Elgarhy, Ahmed T. Eltoukhy, Mohamed Mahmoud, William Eberle, Maazen Alsabaan, Tariq Alshawi

“…However, its vulnerability to adversarial behavior poses a significant challenge to the security and fairness of the charging process. In this study, we, first, craft five stealthy false data injection (FDI) attacks that under-report the state-of-charge (SoC) values to deceive the RL agent into prioritizing their charging requests, and then, we investigate the impact of these attacks on the charging coordination system. …”
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Integrating Personal Health Records to Improve Data Integrity in Trials With Decentralized Elements: A Pilot Study by Yoonjin Kim, Ki Young Huh, Kyung‐Sang Yu

“…Receiving and returning research materials through the parcel and blood sampling process at local hospitals also received high ratings, but this high score reflects Korea's unique infrastructure, including extensive delivery systems and accessible local hospitals. …”
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Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data by Hao Wang, Rong Yang, Jianxin He, Qiangyu Zeng, Taisong Xiong, Zhihao Liu, Hongfei Jin

“…Traditional deep learning-based prediction methods predominantly rely on weather radar data to quantify precipitation, often neglecting the integration of the thermal processes involved in the formation and dissipation of precipitation, which leads to reduced prediction accuracy. …”
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C2FAU-Net: A Deep Learning Approach with Multi-scale Strategy for Automated Delineation of Organs-at-risk in Cervical Cancer High-dose Rate Brachytherapy by Man Zhao, Wenfeng He, Jingjing Dai, Yaoqin Xie, Zhijian Chen, Nanjie Xiao, Dongjie Chen, Shupeng Liu, Xiaokun Liang, Chenbin Liu

“…Materials and Methods: We introduce a coarse-to-refine strategy for annotation, utilizing limited existing data to expedite the process. Combined with deformation-based data augmentation, we incorporate this information into a three-dimensional attention U-Net (C2FAU-Net). …”
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Effective Removal of Ibuprofen from Aqueous Solution Using Cationic Surface-Active Agents in Dissolved Air-Flotation Process by G. Pooja, P. Senthil Kumar, B. Chitra, Gayathri Rangasamy

“…The removal rate was better with the optimized dosage of CTAB at 0.6 g, TBAB at 1.2 g, and OTAB at 1.0 g. …”
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SPK PENENTUAN PEMBERIAN PINJAMAN KEPADA ANGGOTA BUMDES DENGAN METODE SIMPLE ADDITIVE WEIGHTING by Nurul Putri Utami, Hasanul Fahmi, Anita Sindar

“…This draft will show the final results of each member who will borrow funds, and the highest rating can be said of the members who will receive loan assistance, the lowest rating will be given the opportunity to make decisions later to receive loan assistance. …”
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