Identification of biomarkers and potential drug targets in DFU based on fundamental experiments and multi-omics joint analysis by Xudong Xin, Xudong Xin, Xudong Xin, Xudong Xin, Haidong Zhou, Song Huang, Wenzhao Zhang, Jiahou Xu, Wei Wang, Jihua Wei, Jihua Wei, Jihua Wei, Jihua Wei, Liqing Li

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Brief communication: Monitoring snow depth using small, cheap, and easy-to-deploy snow–ground interface temperature sensors by C. L. Bachand, C. L. Bachand, C. Wang, B. Dafflon, L. N. Thomas, L. N. Thomas, I. Shirley, S. Maebius, S. Maebius, C. M. Iversen, K. E. Bennett

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Mamba with split-based pyramidal convolution and Kolmogorov-Arnold network-channel-spatial attention for electroencephalogram classification by Zhe Li, Zhe Li

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Optimum Design of a Savonius VAWT for Implementation in Urban Places having Low to Medium Wind Velocities by Dutta Animesh, Singh Harshvardhan, Rai Gaurav Kumar, Bose Anirban

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An Analytical Model for Aerostatic Thrust Bearings Based on the Average Pressure of the Area Surrounded by Orifice by Jian Zheng, Jianwei Wu, Huan Liu, Jiyao Wang, Pengyue Zhao

“…Aerostatic thrust bearings are widely used in advanced equipment such as lithography machines due to their excellent lubrication performance. …”
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Effective cerebellar neuroprosthetic control after stroke by Rohit Rangwani, Aamir Abbasi, Tanuj Gulati

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Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells by Mohamed Issa, Mohamed Abd Elaziz, Sameh I. Selem

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Applying a Gain Scheduled Fractional Order Proportional Integral and Derivative Controller to a Quadratic Buck Converter by German Ardul Munoz Hernandez, Jose Fermi Guerrero-Castellanos, Rafael Antonio Acosta-Rodriguez

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Proposal for an Intelligent Methodology to Manage Energy in Buildings and Detect Anomalies as a Compass Towards Zero Energy Buildings (ZEB) by Irati Prol-Godoy, Roberto Santana, Francisco-Javier Rey-Martinez, Ana Picallo-Perez

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Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques by Touseef Ur Rehman, Madallah Alruwaili, Muhammad Hameed Siddiqi, Yousef Alhwaiti, Sajid Anwar, Zahid Halim, Maaz Alam

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On the Utilization of Emoji Encoding and Data Preprocessing with a Combined CNN-LSTM Framework for Arabic Sentiment Analysis by Hussam Alawneh, Ahmad Hasasneh, Mohammed Maree

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mTanh: A Low-Cost Inkjet-Printed Vanishing Gradient Tolerant Activation Function by Shahrin Akter, Mohammad Rafiqul Haider

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Protection of gait data set for preserving its privacy in deep learning pipeline by Anubha Parashar, Rajveer Singh Shekhawat

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Leveraging Deep Learning and Internet of Things for Dynamic Construction Site Risk Management by Li-Wei Lung, Yu-Ren Wang, Yung-Sung Chen

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Optimal Adaptive Modeling of Hydrogen Polymer Electrolyte Membrane Fuel Cells Based on Meta-Heuristic Algorithms Considering the Membrane Aging Factor by Mohamed Ahmed Ali, Mohey Eldin Mandour, Mohammed Elsayed Lotfy

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Measurement of TBM Disc Cutter Wear Using Eddy-Current Sensor in Different TBM Chamber Conditions: Insights from Laboratory Tests by Minsung Park, Minseok Ju, Jungjoo Kim, Hoyoung Jeong

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GA-AGN: A generative adversarial network and attention gated network model for enhanced lung cancer detection using chest CT scans by Shenson Joseph, Herat Joshi, Meetu Malhotra, Shazia Fathima, Madhao Wagh, Kirankumar Kulkarni, Somya Singh, Onkar Mayekar, Mehedi Hassan

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Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning by Intissar Dhrari Hajsalem, Yassine Ben Ayed

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Design optimization and precision requirements of an endcap ion trap for single-ion optical clock applications by Chaowei Wang, Shaoyang Dai, Yani Zuo, Fang Fang

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Self-locking Fe-based shape memory couplers: Insights into SME and interface contact mechanics by Ali Jafarabadi, Maryam Mohri, Elyas Ghafoori, Eleni Chatzi, Christian Leinenbach, Christoph Czaderski

“…Fe-based Shape memory alloys (Fe-SMAs) have been extensively utilized in a variety of innovative engineering applications. Notably, Fe-based shape memory couplers present an alternative to welded and machined mechanical joints, offering advantages such as self-locking assembly and reduction of stress concentrations. …”
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