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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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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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

“…The root mean square error (RMSE), RMSE coefficient of variation (CV-RMSE), and coefficient of determination (R2) were used to evaluate the prediction performance of the model. …”
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Investigation of Gamma Radiation Shielding in NiMnGa-Doped Multifunctional Smart Polymer Composites Using Geant4 and WinXCOM by Mediha Kök, Mustafa Ersin Pekdemir, Seçil Niksarlıoğlu, Serpil Yalçın Kuzu, Mustafa Kaya

“…The radiation protection ability of the composites and the pure alloy were assessed by calculating key parameters, including the mass attenuation coefficient (μm), linear attenuation coefficient (μ), half value layer (HVL), tenth value layer (TVL), and mean free path (MFP). …”
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Conjoint effect of nanofluids and baffles on a heat exchanger thermal performance: Numerical approach by hayder Al-Lami, Dheyaa S.J. Al-Saedi, Ali A.H. AlMaidib, Qudama Al-Yasiri

“…The Al2O3 -water nanofluid showed the most notable enhancement, with a 4.5% increase in the heat transfer coefficient. This improvement is due to the superior thermal conductivity of Al2O3 nanoparticles and their ability to induce localized turbulence within the fluid. …”
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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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A discrete Jaya algorithm for vehicle routing problems with uncertain demands by Jing Zhang, Jing-Xuan Ye, Jian Lin, Hong-Bo Song

“…The best and worst solutions are employed to generate offspring solutions in DJaya. Several efficient local search methods are also presented to enhance the exploitation ability and increase the diversity of solutions. …”
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Generative Bayesian Computation for Maximum Expected Utility by Nick Polson, Fabrizio Ruggeri, Vadim Sokolov

“…Generative Bayesian Computation (GBC) methods are developed to provide an efficient computational solution for maximum expected utility (MEU). …”
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A Genetic Algorithm based approach for designing multi-state computational grid with cost and bandwidth constraints by Debashreet Das, C.R. Tripathy, P.K. Tripathy, M.R. Kabat

“…A computational grid needs to be cost-effective and highly reliable. It must have the ability to transfer maximum amount of data for end-to-end delivery. …”
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Mimicking Classical Conditioning of Fear Using a Dynamic Synaptic Memristor by Dongyeol Ju, Sungjun Kim

“…The results showcase the potential of the Al/NbOx/Pt memristor for efficient synapse emulation and neuromorphic applications, as well as its ability to provide enhanced insights into brain function through emotion emulation, enabling versatile future applications of the memristive device.…”
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Real-time facial recognition via multitask learning on raspberry Pi by Abdulatif Ahmed Ali Aboluhom, Ismet Kandilli

“…This study opens new avenues for innovation in resource-efficient deep learning systems.…”
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Designated confirmer threshold signature and its applications in blockchains by Yunfeng Ji, Rui Zhang, Yang Tao, Birou Gao

“…We further design two efficient $$\Sigma$$ Σ -protocols for efficient proofs. …”
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An Offline Image Auditing System for Legacy Meter Reading Systems in Developing Countries: A Machine Learning Approach by Natasha Nigar, Hafiz Muhammad Faisal, Muhammad Kashif Shahzad, Shahid Islam, Olukayode Oki

“…Although such systems are inexpensive, they are limited in their ability to be sustainable and ensure 100% accurate meter readings. …”
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Soft Schemes for Earthquake-Geotechnical Dilemmas by Silvia García

“…Combining the versatility of fuzzy logic to represent qualitative knowledge, the data-driven efficiency of neural networks to provide fine-tuned adjustments via local search, and the ability of genetic algorithms to perform efficient coarse-granule global search, the earthquake geotechnical problems are observed, analyzed, and solved under a holistic approach.…”
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