Emergy perspective on the environmental and economic viability of a biomass-driven polygeneration system by Parviz Heydari Nasab, Ata Chitsaz, Hiva Rashidzadeh, Alireza Rostamzadeh Khosroshahi

“…Innovative methods have been increasingly adopted to evaluate industrial processes’ sustainability, environmental impact, and economic feasibility. …”
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Application of a dynamo-based intelligent drawing review program in the general code for building fire protection - Case study of subsection 7.4.7 by Yong Xu, Min Liu, Taiyang Zhang, Hongyuan Tang, Yingda Zhang

“…The method also lays a foundation for further development of comprehensive intelligent code-checking and automated design feedback systems in fire protection engineering.…”
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Ring Beam Modulation-Assisted Laser Welding on Dissimilar Materials for Automotive Battery by Se-Hoon Choi, Jong-Hyun Kim, Hae-Woon Choi

“…The manuscript advances the state of knowledge in laser welding technology by demonstrating a scalable, energy-efficient method for joining dissimilar materials. …”
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AI-assisted transport of radioactive ion beams by S. Lopez-Caceres, D. Santiago-Gonzalez

“…We apply our methodology to real-life scenarios showing advantages when compared with standard tuning methods. This AI-assisted approach can be extended to other radioactive beam facilities around the world to improve operational efficiency and enhance scientific output.…”
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Suppression the Leakage of Optical Field and Carriers in GaN-Based Laser Diodes by Using InGaN Barrier Layers by Jing Yang, Degang Zhao, Zongshum Liu, De-Sheng Jiang, Jianjun Zhu, Ping Chen, Feng Liang, S. T. Liu, Wei Liu, Yao Xing, Mo Li

“…GaN-based laser diodes (LDs) with different barrier layers are investigated by using simulation and experimental methods. it is found that the absorption loss always decreases with the increasing indium content of the InGaN barrier layer in InGaN/InGaN multiquantum well (MQW) LDs, It leads to an increase of slope efficiency and output power of LDs due to the better optical confinement effect of laser beam. …”
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High-value utilization of agricultural residues based on component characteristics: Potentiality and challenges by Rui Xu, Jingwen Chen, Nina Yan, Bingqian Xu, Zhichao Lou, Lei Xu

“…Agricultural residues (ARs) mainly consist of lignocellulose materials, such as crop straws and by-products from agricultural processing, with a global annual output exceeding 1.9 billion tons. Currently, effective waste management and resource utilization have garnered significant attention. …”
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Hybrid Solar Desalination System for rural Morocco: Development and performance analysis by M. Hmich, B. Zoukarh, R. Malek, K. Kassmi, P. Schmitz, S. Alexopoulos, K. Schwarzer, H. Chayeb, N. Bachiri

“…This demonstrates a significant improvement in both water output and energy efficiency compared to systems relying only on thermal collectors. …”
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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…The linearized PA operating at an RF frequency of 2 GHz delivers a mean output power of 40 dBm with approximately 50% power efficiency when excited with 5G new radio (NR) signals with up to 200 MHz bandwidth and an 8 dB peak-to-average power ratio (PAPR). …”
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Adaptive respiratory muscle trainer based on hybrid nanogenerator sensor and artificial intelligence by Ziao Xue, Puchuan Tan, Jiangtao Xue, Yuan Xi, Minghao Liu, Yang Zou, Qiang Zheng, Zhou Li, Yuxiang Wu

“…Existing respiratory muscle training methods rely on resistance that hinders breathing, and the resistance cannot be adjusted automatically. …”
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Supporting energy policy research with large language models: A case study in wind energy siting ordinances by Grant Buster, Pavlo Pinchuk, Jacob Barrons, Ryan McKeever, Aaron Levine, Anthony Lopez

“…Our results show that this approach is 85 to 90 % accurate with outputs that can be used directly in downstream quantitative modeling. …”
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Optimization of Operation Strategy of Multi-Islanding Microgrid Based on Double-Layer Objective by Zheng Shi, Lu Yan, Yingying Hu, Yao Wang, Wenping Qin, Yan Liang, Haibo Zhao, Yongming Jing, Jiaojiao Deng, Zhi Zhang

“…Combined with the non-cooperative game theory, the alternating direction multiplier method is used to reduce the shared energy storage service cost. …”
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Optimization Configuration of Electric–Hydrogen Hybrid Energy Storage System Considering Power Grid Voltage Stability by Yunfei Xu, Yiqiong He, Hongyang Liu, Heran Kang, Jie Chen, Wei Yue, Wencong Xiao, Zhenning Pan

“…The rational planning of their equipment can significantly enhance operational economic efficiency, environmental friendliness, and system stability. …”
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MHIAIFormer: Multihead Interacted and Adaptive Integrated Transformer With Spatial-Spectral Attention for Hyperspectral Image Classification by Delong Kong, Jiahua Zhang, Shichao Zhang, Xiang Yu, Foyez Ahmed Prodhan

“…Deep learning is an effective method for hyperspectral image (HSI) classification, where CNN-based and Transformer-based methods have achieved excellent performance. …”
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A New Test Point Insertion Using Weight Adjusted Grouping by Jaehyun Kim, Hyemin Kim, Jongho Park, Sangjun Lee, Sungho Kang

“…To address these limitations, a new weight adjusted grouping based efficient test point insertion method (WAG) is proposed in this paper to achieve high test coverage with less test time and area overhead. …”
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Multi-Objective Optimization of Offshore Wind Farm Configuration for Energy Storage Based on NSGA-II by Xin Lin, Wenchuan Meng, Ming Yu, Zaimin Yang, Qideng Luo, Zhi Rao, Jingkang Peng, Yingquan Chen

“…When further considering the participation of energy storage systems in the electricity spot market, the economic efficiency of the energy storage systems could be significantly improved through the fixed-period electricity price arbitrage method. …”
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Exploring large language models for summarizing and interpreting an online brain tumor support forum by Christy Muasher-Kerwin, M Courtney Hughes, Michelle L Foster, Ibrahim Al Azher, Hamed Alhoori

“…Conclusion LLMs, particularly GPT-4, show strong potential for summarizing complex, qualitative health data, offering time-efficient and consistent outputs. These tools may enhance research efficiency and support in patient-centered environments. …”
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Analysis and Prediction of Wear in Interchangeable Milling Insert Tools Using Artificial Intelligence Techniques by Sonia Val, María Pilar Lambán, Javier Lucia, Jesús Royo

“…Each model is evaluated independently, and this comparative analysis aims to determine which modeling strategy best captures the intricate interactions between various process variables affecting tool wear. This method ensures greater efficiency and accuracy than conventional techniques, providing a scalable, resource-efficient solution for reliable and insightful tool wear predictions. …”
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Diversity-Driven Multi-Head Attention for Enhanced Trajectory Prediction by Zhen Zhang

“…The approach creates multiple subsets of training data by random sampling and trains multiple independent MHA modules separately. By aggregating outputs from these diverse MHA modules during inference, our method effectively captures richer trajectory patterns, resulting in significantly improved prediction performance and generalization. …”
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Experimental analysis of the effects of potential-induced degradation on photovoltaic module performance parameters by Z. Khammassi, H. Khaterchi, A. Zaafouri

“…Among these, Potential-Induced Degradation (PID) stands out as one of the most severe, impacting the efficiency and output of PV generators while shortening their lifespan. …”
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Bioinspired activation strategies for Peano-HASEL artificial muscle. by Zhaozhen Liu, Harrison McAleese, Andrew Weightman, Glen Cooper

“…<h4>Background</h4>Human muscles perform many functions during activities of daily living producing a wide range of force outputs, displacements, and velocities. This versatile ability is believed to be associated with muscle activation strategies, such as the number and position of activated motor units within the muscle, as well as the frequency, magnitude and shape of the activation signal. …”
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