Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pumping storage by Farid Merahi, Hamza Mernache, Djamal Aouzelag, Abd Essalam Badoud, Mohit Bajaj, Ievgen Zaitsev

“…Abstract Wind energy plays a crucial role as a renewable source for electricity generation, especially in remote or isolated regions without access to the main power grid. …”
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Modelling for deriving management plan for production and environment of marine fish cage farm by Woo Sung Jung, Sok Jin Hong, Sang Pil Yoon, Dae In Lee, Won Chan Lee, Dong Myung Kim

“…It incorporated pollution sources such as wasted feed and fish feces as state variables, which were integrated into the ecosystem model. …”
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Effect of preparation process on purity of tricalcium aluminate by Simona Ravaszová, Karel Dvořák, Andrea Jančíková

“…Simultaneously, a highly efficient steel grinding capsule with steel grinding bodies is utilized. …”
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Calculation method for target reliability of natural gas pipeline systems by Guangyu YAO, Honglong ZHENG, Daquan LI, Ranran WEI, Qiaofei SUN, Kai YANG

“…Additionally, an evaluation method for gas supply reliability, utilizing a Monte Carlo simulation approach, has been developed. …”
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The Insights Gained during the Development of a Personalised Nutrition Mobile App by Barbara Koroušić Seljak, Matevž Ogrinc, Andraž Simčič, Eva Valenčič, Robert Modic, Gordana Ispirova, Tome Eftimov

“…However, developing an easy-to-use and efficient app requires several essential components. …”
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Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction by Ravinder Kumar, Sherry Flint-Garcia, Miriam Nancy Salazar Vidal, Lakshmikantha Channaiah, Bongkosh Vardhanabhuti, Stephan Sommer, Caixia Wan, Pavel Somavat

“…Purple corn pericarp, a processing waste stream, is an extremely rich source of phytochemicals. Optimal polyphenol extraction parameters were identified using response surface methodology (RSM) by combining a deep eutectic solvent (DES) and ultrasound-assisted extraction (UAE) method. …”
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Thermal conductivity of cement-based honeycomb materials: A comparative analysis of T-Shaped vs. H-shaped structural designs by Silong Wang, Junxiang Hu, Yuan Gao, Youjian Zhang, Xiaoxuan Gao, Qiangru Shen, Yanming Liu, Jing Chen

“…The results indicated that, at equivalent distances from the heat source, the T-shaped structure exhibited lower temperatures than the H-shaped structure, suggesting superior insulation performance. …”
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Evaluating Conflict Management Strategies and Supply Chain Performance: A Systematic Literature Review Within Jordan’s Food Manufacturing Sector by Aydah Almasri, Ma Ying, Reem Aljaber, Jean Pierre Namahoro

“…Framed within smart city initiatives and sustainable development goals (SDGs 9, 11, and 12), this study addresses critical gaps identified in the literature, particularly the lack of integrated examination of CMS impacts in emerging markets like Jordan. Utilizing thematic analysis, this review consolidates key findings across relevant studies from 2010 to 2025 sourced from top-tier databases. …”
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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…Zenith Tropospheric Delay (ZTD) is a significant source of atmospheric error in the Global Navigation Satellite System (GNSS). …”
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The use of low-density EEG for the classification of PPA and MCI by Panteleimon Chriskos, Panteleimon Chriskos, Kyriaki Neophytou, Christos A. Frantzidis, Christos A. Frantzidis, Jessica Gallegos, Alexandros Afthinos, Chiadi U. Onyike, Argye Hillis, Panagiotis D. Bamidis, Kyrana Tsapkini, Kyrana Tsapkini

“…Given the need for low-cost and time-efficient classification, we used low-density electroencephalography (EEG) recordings to automatically classify PPA, MCI and healthy control (HC) individuals. …”
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Pain Management Methods and Techniques in Lumbar Disc Surgery: A Narrative Review Study by Somayeh Mehrpour, Shahram Shafa, Majid Vatankhah, Mehrdad Malekshoar, Mohammad Sadegh Sanie Jahromi, Tayyebeh Zarei, Mansour Deylami, Fateme Maleki, Roohie Farzaneh

“…Results: This study synthesized information from several sources, demonstrating the changing methods used to address pain in lumbar disc disorders. …”
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Techno-economic analysis of cutting-edge PV systems deployment and reconfigurations on rooftop industrial building in Saudi Arabia’s eastern region by Abdulrhman Klifa Al-Hanoot, Hazlie Mokhlis, Saad Mekhilef, Mohammad Alghoul, Hussain Shareef, Zaid Alotaibi

“…Installation costs, maintenance expenses, revenue estimates, and potential revenue sources are also factored in, considering local regulations and policies. …”
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Penentuan Musim Penangkapan Ikan Ekor Kuning (Blonch, 1791): Studi Perairan Karimunjawa, Indonesia by Pranata Candra Perdana Putra, Setyo Tri Wahyudi, Abu Bakar Sambah, Aida Sartimbul

“…The data used includes the production of yellowtail catches from spearfishing fishing gear, sourced from the Karimunjawa Fishing Port (PPP) fisheries statistics between 2017 to 2023. …”
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Bioprocess exploitation of microaerobic auto-induction using the example of rhamnolipid biosynthesis in Pseudomonas putida KT2440 by Jakob Grether, Holger Dittmann, Leon Willems, Tabea Schmiegelt, Elvio Henrique Benatto Perino, Philipp Hubel, Lars Lilge, Rudolf Hausmann

“…A critical threshold of about 20% oxygen saturation was determined. Conclusions Utilizing the inherent tolerance of P. putida to microaerobic conditions in combination with the application of homologous, low-oxygen inducible promoters is a novel and efficient strategy to control bioprocesses. …”
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GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

“…Therefore, while employing GT-NMR or other graph-based methods for the rapid and routine prediction of NMR chemical shifts, it is advisable to utilize nSPS to assess their suitability. The source codes and trained model of GT-NMR are publicly available at GitHub. …”
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Classification of Paddy Rice Planting Area Through Feature Selection Method Using Sentinel-1/2 Time Series Images by Shiyu Zhang, Pengao Li, Yong Xie, Wen Shao, Xueru Tian

“…Utilizing remote sensing technology to accurately and efficiently extract paddy rice planting area is crucial for ensuring food security. …”
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Unstructured Electronic Health Records of Dysphagic Patients Analyzed by Large Language Models by Luisa Neubig, Deirdre Larsen, Melda Kunduk, Andreas M. Kist

“…Clinical and Translational Impact Statement: This study uses LLMs to efficiently preprocess unstructured EHRs, improving dysphagia diagnosis and patient clustering. …”
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Robust growth of avirulent phase II Coxiella burnetii in bone marrow-derived murine macrophages. by Diane C Cockrell, Carrie M Long, Shelly J Robertson, Jeffrey G Shannon, Heather E Miller, Lara Myers, Charles L Larson, Tregei Starr, Paul A Beare, Robert A Heinzen

“…Past studies have used conditioned medium from L-929 murine fibroblasts as a source of macrophage-colony stimulating factor (M-CSF) to promote differentiation of bone marrow-derived myeloid precursors into macrophages. …”
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Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

“…Today, open-source Cloud Computing platforms are valuable for geospatial image analysis while the combination of the Google Earth Engine (GEE) platform and new satellite launches greatly facilitate the monitoring of national-scale lake Water Quality (WQ). …”
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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

“…A multi-modal deep learning network model, TCN-BiLSTM-Transformer, was constructed, leveraging a multi-level feature extraction mechanism for efficient processing of temporal signals. The Temporal Convolutional Network (TCN), utilizing dilated convolutional kernels with an exponential expansion rate, captured multi-scale local features while preserving temporal integrity. …”
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