A Method for the Automatic Selection of Training Tasks in Learning Environment for IT Students by S. U. Rzheutskaya, M. V. Kharina

“…The research, the results of which are presented in this article, was carried out in order to activate and improve the efficiency of independent work of students in the information environment of learning by rational individual selection of training tasks. …”
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Downscaled‐GRACE Data Reveal Anthropogenic and Climate‐Induced Water Storage Decline Across the Indus Basin by Arfan Arshad, Ali Mirchi, Saleh Taghvaeian, Amir AghaKouchak

“…However, the coarse‐resolution of GRACE data has limited the ability to identify local vulnerabilities in water storage changes associated with climatic and anthropogenic stressors. …”
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JiuZhou: open foundation language models and effective pre-training framework for geoscience by Zhou Chen, Ming Lin, Mingrun Zang, Zimeng Wang, Juanzi Li, Yuqi Bai

“…We introduce a two-stage pre-adaptation pre-training method to enhance the efficiency of knowledge learning and transfer in the model and demonstrated its effectiveness. …”
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Differential Pasting and Rheological Properties of Diverse Underutilized Starches Modified by Acetic Anhydride and Vinyl Acetate by Song Xu, Bilatu Agza Gebre, Chuangchuang Zhang, Solomon Abate Mekonnen, Mengting Ma, Hui Zhang, Zhongquan Sui, Harold Corke

“…Degree of substitution of acetylated starches revealed that granule size did not significantly affect acetylation efficiency in starches from different plant origins. …”
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Bacterial nanocellulose and its oxidized form as functional carriers for pomegranate peel extract: A sustainable approach to bioactive delivery by Vuk Filipovic, Jasmina Nikodinovic-Runic, Katarina Savikin, Jelena Zivkovic, Jelena Mudric, Nemanja Krgovic, Marijana Ponjavic

“…Antioxidant activity was evaluated by DPPH and FRAP assays, while the α-glucosidase inhibition assay was used to assess the ability to slow carbohydrate digestion, which helps regulate blood sugar levels. …”
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A convenient broad-host counterselectable system endowing rapid genetic manipulations of Kluyveromyces lactis and other yeast species by Yanli Zheng, Yuhui Deng, Ping Hu, Shiqing Wang, Jiawen Wu, Siqi Luo, Lei Lei, Jiangke Yang, Wenfang Peng

“…Abstract Being generally regarded as safe, Kluyveromyces lactis has been widely taken for food, feed, and pharmaceutical applications, owing to its ability to achieve high levels of protein secretion and hence being suitable for industrial production of heterologous proteins. …”
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YOLO11-ARAF: An Accurate and Lightweight Method for Apple Detection in Real-World Complex Orchard Environments by Yangtian Lin, Yujun Xia, Pengcheng Xia, Zhengyang Liu, Haodi Wang, Chengjin Qin, Liang Gong, Chengliang Liu

“…First, to enhance the model’s ability to capture apple-specific features, we replaced the original C3k2 module with the CARConv convolutional layer. …”
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HCRP-YOLO: A lightweight algorithm for potato defect detection by Haojie Liao, Guanping Wang, Siyu Jin, Yan Liu, Wei Sun, Sen Yang, Lu Wang

“…Therefore, it is an urgent need for precise and efficient automated detection technologies. In recent years, deep-learning based object detection algorithms have gained significant attention in agriculture. …”
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Coming to light: How effective are sediment gravity flows in removing fine suspended carbonate from reefs? by Jaco H. Baas, William Hewitt, Stephen Lokier, James Hendry

“…The present study should therefore be seen as a first step towards a more comprehensive analysis of the efficiency of removal of suspended sediment from coral reefs.…”
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AI usage among medical students in Palestine: a cross-sectional study and demonstration of AI-assisted research workflows by Mahmoud Yousef, Salahaldeen Deeb, Khaled Alhashlamon

“…Time management was highly rated (mean score: 4.6, SD = 0.5), highlighting AI's ability to automate repetitive tasks. Challenges included ethical concerns, data accuracy, and limited AI literacy, with 91% lacking formal AI training. …”
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Nonlinear multimode photonics on-chip by Vitali Valerio, Bucio Thalía Domínguez, Liu Hao, Haines Jack, Naik Pooja Uday, Guasoni Massimiliano, Gardes Frederic, Pavesi Lorenzo, Cristiani Ilaria, Lacava Cosimo, Petropoulos Periklis

“…Nonlinear integrated photonics, which takes advantage of the strong field enhancement in integrated waveguides to boost the efficiency of nonlinear effects, has paved the way for the demonstration of cutting-edge applications. …”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…These findings establish CSMCR as a robust, scalable, and computationally efficient IDS balancing strategy tailored for IoT network security.…”
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Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology by Liang Zheng, Jianyi Zheng, Yile Chen, Yuchan Zheng, Wei Lao, Shuaipeng Chen

“…Heatmap analysis demonstrated the model’s ability to accurately focus on damaged regions in close-range images, while damage quantification tests showed high consistency with manual assessments, confirming the model’s practical viability. …”
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Cupric Doping Hollow Prussian Blue Nanoplatform for Enhanced Cholesterol Depletion: a Promising Strategy for Breast Cancer Therapy and Metastasis Inhibition by Shuangqian Yan, Panpan Xue, Ying Sun, Tingjie Bai, Sijie Shao, Xuemei Zeng

“…Despite its promise, cholesterol oxidase (ChOx) encounters challenge due to limited catalytic efficiency and susceptibility to harsh conditions. To overcome these hurdles, biocompatible nanoplatforms (Cu‐HPB/C) tailored for efficient cholesterol depletion are introduced. …”
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Wide-field electromagnetic method for deep hot dry rock fracturing monitoring: penetrating thick low-resistivity overburden by Shiyin Gao, Shiyin Gao, Wubing Deng, Juncheng Wang, Juncheng Wang, Juncheng Wang, Juncheng Wang, Mingzuan Xu, Mingzuan Xu

“…Overcoming this challenge is critical for optimizing HF operations and ensuring reservoir efficiency.MethodsWe propose the wide-field electromagnetic method (WFEM) as a novel solution for real-time HF monitoring in shielded environments. …”
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Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review by Oussama Khouili, Mohamed Hanine, Mohamed Louzazni, Miguel Angel López Flores, Eduardo García Villena, Imran Ashraf

“…Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationships within large datasets. …”
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Advances in the Functionalization of Vaccine Delivery Systems: Innovative Strategies and Translational Perspectives by Ingrid Andrêssa de Moura, Anna Jéssica Duarte Silva, Larissa Silva de Macêdo, Karina Mayumi Tani Bezerra de Melo, Lígia Rosa Sales Leal, Benigno Cristofer Flores Espinoza, Maria da Conceição Viana Invenção, Samara Sousa de Pinho, Antonio Carlos de Freitas

“…The efficacy of a vaccine formulation depends on the nature of the antigen, the protection offered by the delivery system, the ability to potentiate the immune response, and the precise release of the immunogen. …”
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A case for myoglobin-macromolecular rate theory applied to pseudo peroxidase kinetics by Collin Tuttle, Michael Hannesson, Amy Henrichsen, Lily Hainsworth, Camille Condie, Aj Whitesides, Archel Oren, Simeon Tanner, Benjamin Terry, Jacob Cannon, Jeremy Johansen, Alisha Bhatia, Daniel Scott

“…Additionally, our research notes the pH-dependence of myoglobin’s catalytic efficiency compared to traditional peroxidases, offering implications for understanding its broader biological roles.…”
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Transcriptomic and physiological insights into auxin-mediated root growth and potassium uptake in tobacco under low-potassium stress by Kunhao Guan, Yingying Li, Yuyin Zhang, Jie Yang, Zixuan Ge, Xiaoyan Dai

“…Abstract Background Improving potassium uptake efficiency in plants is crucial for agricultural production. …”
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A comparison study and multi-objective optimization of a DICI engine fueled with petroleum diesel and Fischer-Tropsch diesel by Panpan Cai, Zheng Jing, Chunhua Zhang, Bing Han, Gang Li, Wenlong Song

“…These models are fully verified for reproducibility and generalization ability. Subsequently, non-dominated sorting genetic algorithm (NSGA-II) is applied to realize multi-objective optimization of fuel economy and emissions. …”
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