Diversity of extracellular vesicles derived from calli, cell culture and apoplastic fluid of tobacco by Michaela Kocholatá, Jan Malý, Sylvie Kříženecká, Olga Janoušková

“…To use the benefits of pEVs in the future, it is necessary to identify methods that facilitate their production in sufficient quantities while maintaining high quality. …”
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SWIPT-Enabled Cooperative Wireless IoT Networks With Friendly Jammer and Eavesdropper: Outage and Intercept Probability Analysis by Dinh Tung Vo, Trinh Van Chien, Tan N. Nguyen, Dinh-Hieu Tran, Miroslav Voznak, Byung Seo Kim, Lam Thanh Tu

“…In this context, a low-complexity, sub-optimal, but efficient relay selection method is proposed. …”
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Agricultural Development Abilities in Darab County and Predicting Its Results on Rural Development by Sirus Ghanbari, Mohsen shayan, Saeideh Rashidi, Faezeh Ebrahimipour, Mohammad Karim Raesi

“…The mainstay of the economic and social system of most countries is the largest source of employment. Anecare develops a very important opportunity to reduce malnutrition. …”
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SolarGAN for Meso-Level Solar Radiation Prediction at the Urban Scale: A Case Study in Boston by Yijun Lu, Xinru Li, Siyuan Wu, Yuankai Wang, Waishan Qiu, Da Chen, Yifan Li

“…The model’s capability to generate high-resolution (2 m) solar radiation maps from simplified inputs demonstrates the potential of GANs for urban climate data prediction, offering a rapid and efficient alternative to traditional methods. This approach holds significant potential for urban planning, particularly in optimizing photovoltaic (PV) system layouts and managing the UHI effect.…”
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MEMS-Based Micropacked Thermal Desorption GC/PID for In-Field Volatile Organic Compound Profiling from Hot Mix Asphalt by Stefano Dugheri, Giovanni Cappelli, Riccardo Gori, Stefano Zampolli, Niccolò Fanfani, Ettore Guerriero, Donato Squillaci, Ilaria Rapi, Lorenzo Venturini, Alexander Pittella, Chiara Vita, Fabio Cioni, Domenico Cipriano, Mieczyslaw Sajewicz, Ivan Elmi, Luca Masini, Simone De Sio, Antonio Baldassarre, Veronica Traversini, Nicola Mucci

“…Results and conclusions: The method was successfully deployed on site for source-specific sampling at an HMA plant, generating robust emission fingerprints. …”
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Adaptive hydrogen fuel cell vehicle scheduling strategy based on traffic state assessment in power-transportation coupled networks by Yizhen Huang, Haiteng Han, Zhinong Wei, Bei Yang, Chuanshen Wu, Yizhou Zhou, Guoqiang Sun

“…An adaptive hydrogen energy management method is employed for fuel cell vehicles to optimize the coupling between the transportation network and the power system. …”
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Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes by Areej Althabatah, Mohammed Yaqot, Brenno Menezes, Laoucine Kerbache

“…<i>Background</i>: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. <i>Methods</i>: this study addresses a critical knowledge gap by conducting a comprehensive review of <i>111</i> papers sourced from the Scopus database. …”
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Toxic risk assessment of selected metals in infant formula milk commercially available in Lebanon: A novel approach based on feeding parameters versus toxicity by Pierre J. Obeid, Bilal El Khoury, John Hanna El-Nakat

“…Infant formula milk (IFM) is increasingly utilized as a substitute for natural breastfeeding despite the fact that breast milk has been always recognized as the optimal nourishment method. While IFMs are fortified with essential nutrients that are crucial for proper growth, they can also harbor non-essential toxic metal contaminants from various sources during the production process. …”
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Structural Characterizations and Biological Evaluation of a Natural Polysaccharide from Branches of <i>Camellia oleifera</i> Abel by Shengjia Lu, Yali Zhang, Yanghui Ou, Jianghui Xin, Hongliang Yao, Litao Guan

“…Objectives: In this work, we obtain a natural polysaccharide from the branches of <i>C. oleifera</i> and optimize its extraction using Box–Behnken design (BBD), which is a statistical method commonly used in response surface methodology. …”
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FedITD: A Federated Parameter-Efficient Tuning With Pre-Trained Large Language Models and Transfer Learning Framework for Insider Threat Detection by Zhi Qiang Wang, Haopeng Wang, Abdulmotaleb El Saddik

“…Extensive experiment results show FedITD&#x2019;s superior performance, adaptability to varied data, and reduction of resource costs, achieving an optimal balance in detection capabilities across source data, unlabeled local data, and global data. …”
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Roles of Foliar Fertilization on Growth, Yield and Quality of Tomato (Solanum lycopersicum L.) Cultivars (Review) by Daniel Munda, Fanuel Laekemariam, Yitbarek Abrham

“…Tomato (Solanum lycopersicum L.) is one of the most important vegetable crops, and it is a source of daily diet and cash crop in Ethiopia. However, its production is affected by nutrient application methods of which foliar fertilization is a popular method. …”
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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

“…Finally, experimental results on three open-source datasets, such as SECOND, HIUSD, and Landsat-SCD, show that the proposed method achieves good performance, with an SCD score reaching 35.65%, 98.33%, and 67.29%, respectively.…”
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Roles of Foliar Fertilization on Growth, Yield and Quality of Tomato (Solanum lycopersicum L.) Cultivars (Review) by Daniel Munda, Fanuel Laekemariam, Yitbarek Abrham

“…Tomato (Solanum lycopersicum L.) is one of the most important vegetable crops, and it is a source of daily diet and cash crop in Ethiopia. However, its production is affected by nutrient application methods of which foliar fertilization is a popular method. …”
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High-Performance Time-to-Digital Conversion on a 16-nm Ultrascale+ FPGA by Lorenzo Castelvero, Ignacio H. Lopez Grande, Valerio Pruneri

“…Buffer redundancy subdivides the bins of the code density histogram, whose linearity is further enhanced by bin decimation. The optimal placement of the TDL elements is considered, together with the sampling clock frequency and source. …”
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Pemanfaatan sumber daya lokal biji karet sebagai amplifikasi protein es krim mellorine dengan pengemulsi CMC by Jefri Pandu Hidayat, Memik Dian Pusfitasari, Ryan Ananda Dwi Gunawan, Riza Fahlevi

“…A modification method is needed to release HCN but does not cause excessive protein denaturation.…”
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Hydrogen fueling station: review of the technological state of hydrogen fuel usage by A. A. Chichirov, R. I. Razakova, F. R. Gainutdinov, D. F. Gainutdinova

“…In the modern world, on the verge of global climate change, the search and implementation of alternative energy sources become particularly significant. Hydrogen energy is one of the most promising directions, offering a revolutionary approach to the decarbonization of various industrial sectors. …”
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Predictions of Multilevel Linguistic Features to Readability of Hong Kong Primary School Textbooks: A Machine Learning Based Exploration by Zhengye Xu, Yixun Li, Duo Liu

“…It is also the first readability formula developed in Hong Kong. Method: The corpus comprised 723 texts from 72 Chinese language arts textbooks used in public primary schools. …”
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Genicular Nerve Ultrasound-Guided Cryoanalgesia for the Treatment of Chronic Knee Joint Pain: An Observational Retrospective Study by Giuliano Lo Bianco, Francesco Paolo D’angelo, Guillherme Ferreira Dos Santos, Agnes Stogicza, Matteo Luigi Giuseppe Leoni, Andrea M. Trescot, Robert Jason Yong, Christopher L. Robinson

“…Abstract Introduction Chronic knee pain caused by osteoarthritis (OA) is a prevalent source of disability in the adult population. Total knee arthroplasty (TKA) is an effective surgical treatment for advanced disease, but many patients continue to suffer from chronic post-surgical pain (CPSP). …”
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…Despite advancements, significant challenges persisted in balancing data ownership with research accessibility, integrating heterogeneous data sources, ensuring platform interoperability, and maintaining data quality. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Edge computing, a distributed computing paradigm that places small yet capable computing devices near data sources and IoT sensors, is gaining widespread adoption in various real-world applications, such as real-time intelligent drones, autonomous vehicles, and robotics. …”
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