A holistic assessment of water resources and management in the Zarrineh river sub basin using water accounting plus by Elahe Kanani, Bijan Nazari, Hossein Dehghanisanij

“…Additionally, 185.83 MCM of recoverable outflows present an opportunity for reuse, supporting more efficient water resource management. Managed agricultural areas exhibit higher water productivity (2.54 kg/m3) compared to less efficient sectors within utilized land use (1.74 kg/m3), highlighting areas for potential improvement. …”
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The analysis of transformer end-to-end model in Real-time interactive scene based on speech recognition technology by Ping Li, Can Yang, Lei Mao

“…With the increase of data volume, the character error rate decreases from 5.2 to 2.7%, the reasoning delay is always kept within 15ms, and the resource utilization rate reaches more than 75%, showing efficient computing ability. On the two kinds of datasets, the word error rate is as low as 4.3%, and the accuracy rate is over 91%. …”
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Risk Prediction of Coal and Gas Outburst Based on Abnormal Gas Concentration in Blasting Driving Face by Liming Qiu, Yujie Peng, Dazhao Song

“…Using the prediction model, 28 times of jet holes and 1 small outburst event are predicted successfully, and the efficiency of the prediction model is 76.39%. By this technology, the utilization rate of gas information is improved, and the relationship between the change characteristics of gas concentration after blasting and the risk of coal seam outburst is established, which is of significant for improving the prediction accuracy and risk management ability of coal and gas outburst.…”
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Hyperspectral Image-Based Identification of Maritime Objects Using Convolutional Neural Networks and Classifier Models by Dongmin Seo, Daekyeom Lee, Sekil Park, Sangwoo Oh

“…The identification of maritime objects is crucial for ensuring navigational safety, enabling effective environmental monitoring, and facilitating efficient maritime search and rescue operations. Given its ability to provide detailed spectral information, hyperspectral imaging has emerged as a powerful tool for analyzing the physical and chemical properties of target objects. …”
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Detection and Recognition of Underwater Acoustic Communication Signal Under Ocean Background Noise by Mengyi Li, Jilong Li, Haihong Feng

“…Both methods exhibit strong generalization ability, feature fewer model parameters, and have lower computational complexity.…”
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Workflow of a Preclinical Robotic Magnetic Resonance Imaging-guided Focused Ultrasound Body System by Nikolas Evripidou, Anastasia Antoniou, George Lazarou, Leonidas Georgiou, Antreas Chrysanthou, Cleanthis Ioannides, Christakis Damianou

“…Background: Establishing an efficient workflow is crucial for the success of magnetic resonance-guided focused ultrasound (MRgFUS) procedures. …”
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High-fidelity haptic and visual rendering for patient-specific simulation of temporal bone surgery by Sonny Chan, Peter Li, Garrett Locketz, Kenneth Salisbury, Nikolas H. Blevins

“…With recent advances in visual computing and interactive technologies, there is much opportunity to provide surgeons an ability to actively manipulate and interpret digital image data in a surgically meaningful way. …”
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Research on the data link layer secure protocol of TES network based on ECC by WU Zhi-jun, KAN Hong-tao

“…A workable and efficient data link layer security protocol had been proposed on the need of safety information transfer requirements of the TES system.The protocol provides a software registration solution for the remote sites and a information encryption method base on the elliptic curves cryptography（ECC） algorithm as well as a combined key allocation method.The protocol takes the characters of the TES system into account,improves its ability to identify remote sites,and provides ways to prevent information stealing and network attacks.…”
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Wind Farm Meteorological Prediction Model Based on Frequency Domain Feature Extraction Fusion Mechanism by Yichen Liao, Ziqi Gao, Xufeng Li

“…This integration improves the model’s ability to reliably forecast wind farm meteorological conditions over extended periods. …”
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Cotton Leaf Disease Detection Using LLM-Synthetic Data and DEMM-YOLO Model by Lijun Gao, Tiantian Ran, Hua Zou, Huanhuan Wu

“…Moreover, we introduce an enhanced efficient multi-dimensional attention mechanism (EEMA), which leverages feature grouping, multi-scale parallel learning, and cross-space interactive learning strategies to further boost the model’s feature expression capabilities. …”
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Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS by Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao

“…Next, based on the YOLO v10 algorithm, this paper removes redundant detection layers to enhance the model’s ability to capture specific features and further reduce the number of parameters. …”
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The Role of Whey in Functional Microorganism Growth and Metabolite Generation: A Biotechnological Perspective by Iuliu Gabriel Malos, Andra-Ionela Ghizdareanu, Livia Vidu, Catalin Bogdan Matei, Diana Pasarin

“…Functional microorganisms such as lactic acid bacteria (<i>Lactobacillus helveticus</i>, <i>L. acidophilus</i>), yeasts (<i>Kluyveromyces marxianus</i>), actinobacteria, and filamentous fungi (<i>Aspergillus oryzae</i>) have demonstrated the ability to efficiently convert whey into a wide range of bioactive compounds, including organic acids, exopolysaccharides (EPSs), bacteriocins, enzymes, and peptides. …”
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Neuromorphic compliant control facilitates human-prosthetic performance for hand grasp functions by Anran Xie, Zhuozhi Zhang, Jie Zhang, Weidong Chen, James Patton, Ning Lan

“…The outcome of the evaluation confirmed that the biorealistic control could achieve superior abilities in fine, accurate, and efficient grasp control for prosthetic users.…”
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Prediction of Pollutant Emissions from a Low-Speed Marine Engine Based on Harris Hawks Optimization and Lightgbm by Yue Chen, Yulong Shen, Miaomiao Wen, Cunfeng Wei, Junjie Liang, Yuanqiang Li, Ying Sun

“…The results show that changes in engine control parameters have significant influences on NOx and soot emissions from the engine, which can serve as the basis for the selection of the LGB model features; the LGB model was able to accurately predict pollutant concentrations from the engine with much higher accuracy than a single decision tree (DT) model; combining with HHO, the predictive ability of the LGB model was significantly improved, such as for the validation set prediction results, the mean absolute error (MAE) was reduced by about 20%, the mean squared error (MSE) was reduced by about 30%, and the coefficient of determination (R²) was increased by about 0.005; and the importance analysis of the model features indicated that the combustion condition of the fuel was highly correlated with the generation of the pollutants, and the fuel injection phases can be adjusted in practice to achieve highly efficient and low-emission processes of combustion. …”
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Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism by Wangyong Guo, Shijin Liu, Liguo Weng, Xingyu Liang

“…To achieve accurate and efficient short-term load forecasting, this study proposes a novel power grid load forecasting model that integrates Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), Multi-Head Self-Attention Mechanism (MHSA), Global Attention Mechanism (GAM), and Channel Attention Mechanism (CAM) to achieve efficient and precise short-term load forecasting. …”
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Antibacterial and biodegradable bandage with exudate absorption and smart monitoring for chronic wound management by Zhaochuan Yu, Hao Wu, Xing Zhang, Yang Jiang, Chao Liu, Yuqian Liu, Farzad Seidi, Chao Deng

“…The aerogel bandage loaded with AC demonstrates a pH-sensitive color-changing response and high-efficiency free radical scavenging ability (all greater than 93.61%), enabling the in-situ monitoring of wound healing and inhibiting wound inflammation, while the nonwoven network grafted with NEO endows the aerogel composites with excellent antibacterial properties (>99% against Staphylococcus aureus and Escherichia coli). …”
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Construction and evaluation of recombinant Lactobacillus plantarum expressing Micropterus salmoides hepcidin by Cheng-long Zhang, Guangtao Chen, Xiang Shan Ji, Jian Teng, Zhi Lei Yao, Chun Lei Hu, Yan Zhao

“…By introducing the ribosomal binding site (RBS) and secretory signal peptide sequence (SP-PGH), we constructed a novel vector capable of efficiently expressing M. salmoides hepcidin (MsHep) extracellularly. …”
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A Blockchain-based federated learning framework for secure aggregation and fair incentives by XiaoHui Yang, TianChang Li

“…Theoretical analysis and simulation experiments demonstrate the framework's ability to maintain efficient and secure aggregation under a certain degree of attack while achieving fair incentives for each role node with significantly reduced consensus consumption.…”
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Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training by Joseph A. Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli, Gina C. Adam

“…This work supports further biologically-informed large-scale networks and energy efficient hardware implementations.…”
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Comparison of the intracellular trafficking itinerary of ctla-4 orthologues. by Satdip Kaur, Omar S Qureshi, David M Sansom

“…Human and chicken CTLA-4, which contain a YVKM motif, showed efficient recycling compared to xenopus CTLA-4 which contains a less efficient YEKM motif. …”
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