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Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation 14

Towards a Deep Learning Pain-Level Detection Deployment at U...

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14th International Conference on Ambient systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023

作者： Ismail, Leila Waseem, Muhammad Danish Lab School of Computing and Information Systems Faculty of Engineering and Information Technology The University of Melbourne Australia Research Laboratory Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University United Arab Emirates National Water and Energy Center United Arab Emirates University United Arab Emirates

The outbreak of the COVID-19 pandemic revealed the criticality of timely intervention in a situation exacerbated by a shortage in medical staff and equipment. Pain-level screening is the initial step toward identifying the severity of patient conditions. Automatic recognition of state and feelings help in identifying patient symptoms to take immediate adequate action and providing a patient-centric medical plan tailored to a patient's state. In this paper, we propose a framework for pain-level detection for deployment in the United Arab Emirates and assess its performance using the most used approaches in the literature. Our results show that a deployment of a pain-level deep learning detection framework is promising in identifying the pain level accurately. © 2023 Elsevier B.V.. All rights reserved.

关键词： Computer vision

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The statistical observation localized equivalent-weights particle filter in a simple nonlinear model

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Acta Oceanologica Sinica 2022年第2期41卷 80-90页

作者： Yuxin Zhao Shuo Yang Renfeng Jia Di Zhou Xiong Deng Chang Liu Xinrong Wu College of Intelligent Systems Science and Engineering Harbin Engineering UniversityHarbin 150001China Harbin Marine Boiler&Turbine Research Institute Harbin 150078China China Ship Development and Design Center Wuhan 430064China Key Laboratory of Marine Environmental Information Technology National Marine Data and Information ServiceState Oceanic AdministrationTianjin 300171China

This paper presents an improved approach based on the equivalent-weights particle filter(EWPF)that uses the proposal density to effectively improve the traditional particle *** proposed approach uses historical data to calculate statistical observations instead of the future observations used in the EWPF’s proposal density and draws on the localization scheme used in the localized PF(LPF)to construct the localized *** new approach is called the statistical observation localized EWPF(LEWPF-Sobs);it uses statistical observations that are better adapted to the requirements of real-time assimilation and the localization function is used to calculate weights to reduce the effect of missing observations on the *** approach not only retains the advantages of the EWPF,but also improves the assimilation quality when using sparse *** experiments performed with the Lorenz 96 model show that the statistical observation EWPF is better than the EWPF and EAKF when the model uses standard distribution *** of the statistical observation localized EWPF and LPF reveal the advantages of the new method,with fewer particles giving better *** particular,the new improved filter performs better than the traditional algorithms when the observation network contains densely spaced measurements associated with model state nonlinearities.

关键词： data assimilation particle filter equivalent weights particle filter localization methods

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CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning

arXiv

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arXiv 2023年

作者： Peng, Tianhao Liang, Yu Wu, Wenjun Ren, Jian Pengrui, Zhao Pu, Yanjun State Key Laboratory of Software Development Environment Beihang University China School of Computer Science and Engineering Beihang University China Beijing Engineering Research Center for IoT Software and Systems Beijing University of Technology China Institute of Artificial Intelligence Beihang University China

Modeling and predicting the performance of students in collaborative learning paradigms is an important task. Most of the research presented in literature regarding collaborative learning focuses on the discussion forums and social learning networks. There are only a few works that investigate how students interact with each other in team projects and how such interactions affect their academic performance. In order to bridge this gap, we choose a software engineering course as the study subject. The students who participate in a software engineering course are required to team up and complete a software project together. In this work, we construct an interaction graph based on the activities of students grouped in various teams. Based on this student interaction graph, we present an extended graph transformer framework for collaborative learning (CLGT) for evaluating and predicting the performance of students. Moreover, the proposed CLGT contains an interpretation module that explains the prediction results and visualizes the student interaction patterns. The experimental results confirm that the proposed CLGT outperforms the baseline models in terms of performing predictions based on the real-world datasets. Moreover, the proposed CLGT differentiates the students with poor performance in the collaborative learning paradigm and gives teachers early warnings, so that appropriate assistance can be provided. Copyright © 2023, The Authors. All rights reserved.

关键词： Students

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Remolding the tumor microenvironment by bacteria augments adoptive T cell therapy in advanced-stage solid tumors

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Signal Transduction and Targeted Therapy 2024年第12期9卷 5765-5776页

作者： Chaojie Zhu Chao Liu Qing Wu Tao Sheng Ruyi Zhou En Ren Ruizhe Zhang Zhengjie Zhao Jiaqi Shi Xinyuan Shen Zhongquan Sun Zhengwei Mao Kaixin He Lingxiao Zhang Yuan Ding Zhen Gu Weilin Wang Hongjun Li Department of Hepatobiliary and Pancreatic Surgery the Second Affiliated Hospital School of MedicineZhejiang University310009 HangzhouChina National Key Laboratory of Advanced Drug Delivery and Release Systems College of Pharmaceutical SciencesZhejiang University310058 HangzhouChina Liangzhu Laboratory Zhejiang University Medical Center311121 HangzhouChina State Key Laboratory of Stress Biology and Fujian Provincial Key Laboratory of Innovative Drug Target Research School of Pharmaceutical SciencesXiamen University361102 XiamenChina MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringZhejiang University310027 HangzhouChina Interdisciplinary Nanoscience Center Aarhus UniversityAarhus C DK-8000Denmark Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province 310009 HangzhouChina ZJU-Pujian Research&Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease 310058 HangzhouChina Jinhua Institute of Zhejiang University 321299 JinhuaChina Department of General Surgery Sir Run Run Shaw HospitalSchool of MedicineZhejiang University310016 HangzhouChina

The intricate tumor microenvironment presents formidable obstacles to the efficacy of adoptive T cell therapy in the management of solid tumors by limiting the infiltration and inducing exhaustion of the transferred T ***,we developed a bacterial-based adjuvant approach that augments the efficacy of adoptive T-cell therapy for solid tumor *** study reveals that intratumor injection of *** MG1655 normalizes tumor vasculatures and reprograms tumor-associated macrophages into M1 phenotype that produce abundant CCL5,together facilitating tumor infiltration of adoptively transferred T *** depletion of tumor-associated macrophages or CCL5 neutralization in vivo leads to the significantly decreased solid tumor infiltration of adoptive T cells in the presence of *** combinatorial therapy,consisting of *** adjuvant and adoptive T-cell therapy,effectively eradicates early-stage melanoma and inhibits the progression of pancreatic ***,this dual strategy also strengthened the distal tumor control capabilities of adoptive T-cell therapy through the induction of in situ tumor *** dual therapeutic approach involving bacterial therapy targeting the interior of solid tumors and adoptive T-cell therapy attacking the tumor periphery exhibits potent therapeutic efficacy in achieving the eradication of advanced-stage tumors,including melanoma and hepatocellular carcinoma,by converging attacks from both inside and outside the tumor tissues.

关键词： adoptive transferred solid

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MXenes with functional N terminal group offer a covalent bond storage mechanism for anions

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Physical Review B 2024年第15期110卷 155401页

作者： Yingfang Li Jizhou Jiang Xiufang Li Meng Li Yujie Zheng Kuan Sun National Innovation Center for Industry-Education Integration of Energy Storage Technology MOE Key Laboratory of Low-grade Energy Utilization Technologies and Systems CQU-NUS Renewable Energy Materials & Devices Joint Laboratory School of Energy & Power Engineering School of Environmental Ecology and Biological Engineering Key Laboratory of Green Chemical Engineering Process of Ministry of Education Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education Novel Catalytic Materials of Hubei Engineering Research Center State Key Laborator of Biobased Materialand Green Papermaking Shandong Provincial Key Laboratory of Microbial Engineering Department of Bioengineering

Two-dimensional (2D) MXenes have made great achievements as electrodes and functional protective layers for alkali and alkaline earth metal ion batteries. However, their application in rechargeable anion batteries is lethally limited by the electrostatic repulsion between anions and surface terminal groups. Here, first-principles calculations were employed to investigate the effects and mechanism of MXenes surface terminal groups (OH, C, O, N, and P) on the storage of chloride anion and the electrochemical performance of their corresponding battery. Cl− can be successfully stored on the surface of N-terminated MXenes (Ti3C2N2) because a covalent bond can be formed between N and Cl. At the same time, Ti3C2N2 has a satisfactory theoretical capacity and open-circuit voltage of 1095mAhg−1 and 1.11 V, respectively, and meets the stringent requirements for rapid ion migration (1.15 eV) and high energy density (1215Whg−1) for cathode materials in anion batteries. Moreover, the N-terminal functional group of MXenes exhibits excellent performance on all halogen anion batteries. Even when the metallic element Ti is replaced with other metallic elements, these N-terminated MXenes show superior ability to store anions. Therefore, the N-terminal group is expected to bring spring to the application of MXenes in halogen anion batteries.

关键词： Electrochemical properties Energy materials Energy storage Surface states

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Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm

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Nano-Micro Letters 2024年第12期16卷 1-22页

作者： Jianye Li Hao Wang Yibing Luo Zijing Zhou He Zhang Huizhi Chen Kai Tao Chuan Liu Lingxing Zeng Fengwei Huo Jin Wu State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology School of Electronics and Information TechnologySun Yat-Sen UniversityGuangzhou 510275People’s Republic of China Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace School of Mechanical EngineeringNorthwestern Polytechnical UniversityXi’an 710072People’s Republic of China Research&Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518063People’s Republic of China The Institute of Flexible Electronics(IFE Future Technologies)Xiamen UniversityXiamen 361005People’s Republic of China Key Laboratory of Flexible Electronics(KLOFE) School of Flexible Electronics(Future Technologies)Nanjing Tech University30 South Puzhu RoadNanjing 211816People’s Republic of China State Key Laboratory of Transducer Technology Shanghai 200050People’s Republic of China Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing Guangzhou 510641People’s Republic of China State Key Laboratory of Polymer Materials Engineering Sichuan UniversityChengdu 610065People’s Republic of China Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs and School of Pharmacy Guangdong Medical UniversityDongguan 523808People’s Republic of China The First Dongguan Affiliated Hospital Guangdong Medical UniversityDongguan 523808People’s Republic of China Engineering Research Center of Polymer Green Recycling of Ministry of Education College of Environment and ResourcesFujian Normal UniversityFuzhou 350007People’s Republic of China

Post-earthquake rescue missions are full of challenges due to the unstable structure of ruins and successive *** of the current rescue robots lack the ability to interact with environments,leading to low rescue *** multimodal electronic skin(e-skin)proposed not only reproduces the pressure,temperature,and humidity sensing capabilities of natural skin but also develops sensing functions beyond it—perceiving object proximity and NO2 *** multilayer stacked structure based on Ecoflex and organohydrogel endows the e-skin with mechanical properties similar to natural *** robots integrated with multimodal e-skin and artificial intelligence(AI)algorithms show strong environmental perception capabilities and can accurately distinguish objects and identify human limbs through grasping,laying the foundation for automated post-earthquake ***,the combination of e-skin and NO2 wireless alarm circuits allows robots to sense toxic gases in the environment in real time,thereby adopting appropriate measures to protect trapped people from the toxic *** e-skin powered by AI algorithms and hardware circuits exhibits powerful environmental perception and information processing capabilities,which,as an interface for interaction with the physical world,dramatically expands intelligent robots’application scenarios.

关键词： Stretchable hydrogel sensors Multimodal e-skin Artificial intelligence Post-earthquake rescue Wireless toxic gas alarm

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Examining the Use of Non-fungible Tokens (NFTs) as a Trading Mechanism for the Metaverse 1

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29th European systems, software and Services Process Improvement, EuroSPI 2022

作者： Yilmaz, Murat Hacaloğlu, Tuna Clarke, Paul Department of Computer Engineering Engineering Faculty Gazi University Ankara Turkey Metaverse Research and Development Laboratory Gazi University Ankara Turkey Department of Information Systems Engineering Atilim University Ankara Turkey School of Computing Dublin City University Dublin Ireland Lero the Science Foundation Ireland Research Centre for Software Limerick Ireland

ISBN: (数字)9783031155598

ISBN: (纸本)9783031155581

The notion of a metaverse seems hard to define but encourages the impression that it can be considered as a new virtual metaphysical landscape that somehow goes beyond our geographical locations and understanding (i.e., independent of time and space). Based on virtual reality, augmented reality, and blockchain, it is envisioned as an independent but extended world that is planned to be a digital virtuality entrenched not only in our old habits such as gaming and entertainment but also in virtual asset trade. In particular, trading is a pillar of the virtual economy, and auction houses will be crucial for Metaverse trading. This exploratory study examines the possibility of using an auction environment to improve the trading capabilities in a virtual universe. We investigate the cases of creating a virtual auction house with the potential of social trading of virtual assets with crypto coins and bartering. To this end, we built a virtual auction house and tested it initially using a set of scenarios. Our preliminary findings suggest that creating a virtual trading environment would be beneficial as an environment for buying and selling virtual assets and exploring their consequences. © 2022, Springer Nature Switzerland AG.

关键词： Augmented reality

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Evaluation of Magnet Configurations for Magnetohydrodynamic Trajectory Control during Planetary Entry

Evaluation of Magnet Configurations for Magnetohydrodynamic ...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Fawley, Destiny M. Eggl, Siegfried Putnam, Zachary R. D’souza, Sarah Borner, Arnaud University of Illinois at Urbana-Champaign Department of Aerospace Engineering 104 S. Wright St. UrbanaIL61801 United States Johns Hopkins Applied Physics Laboratory Astrodynamics and Control Group LaurelMD20723 United States NASA Ames Research Center Entry Systems and Vehicle Development Branch Moffett FieldCA94035 United States AMA Inc. NASA Ames Research Center Thermal Protection Materials and Systems Branch MS 234-1 Moffett FieldCA94035 United States

ISBN: (纸本)9781624107238

Magnetohydrodynamics is a phenomenon that can be harnessed during planetary entry to augment aerodynamic drag and may enable higher mass payloads to safely reach the surface. The magnetohydrodynamic force is quantified over a wide range of freestream conditions using computational fluid dynamics results from a previous study. The force is calculated for an array of small electromagnets, a large non-superconducting magnet, a large superconducting magnet, and a uniform field. The superconducting magnet produces a magnetohydrodynamic force within an order of magnitude of aerodynamic drag for velocities higher than 10 km/s, indicating that it may have a reasonable impact on the trajectory for some cases. The array of small magnets and non-superconducting magnet produced a magnetohydrodynamic force that is less than 1% of the aerodynamic drag, so their magnetic fields are not strong enough to affect an entry trajectory. Additionally, the magnet placement plays an important role in magnetohydrodynamic force magnitude, with a magnet located near the shoulder producing approximately eight times more force than a magnet placed on the axis of symmetry. A mass and power budget for each magnet configuration is given assuming current state-of-the-art magnet technology. This study also discusses implementation challenges for each type of magnet on a spacecraft. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Aerodynamic drag

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Interconnectedness of Circular Economy, Artificial Intelligence and Vertical Farming as a Technosignature Model for Sustainable Space Food Production 15

Interconnectedness of Circular Economy, Artificial Intellige...

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15th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2023

作者： Ii, Ronnie Concepcion Cabaccan, Carlo Ducut, Jullian Dominic Relano, R-Jay Alejandrino, Jonnel Agulto, Ronnel Bandala, Argel Mohamad, Roslina Dadios, Elmer Culaba, Alvin Department of Manufacturing Engineering and Management De la Salle University Manila Philippines De la Salle University Center for Engineering and Sustainability Development Research Intelligent Systems Research Unit Manila Philippines De la Salle University Bio-energy Environment and Renewables Laboratory Center for Engineering and Sustainability Development Research Manila Philippines Plant and Soil Health Research Unit Center for Natural Sciences and Environmental Research De la Salle University Manila Philippines School of Electrical Electronics and Computer Engineering Mapua University Manila Philippines School of Electrical Engineering College of Engineering Universiti Teknologi Mara Shah Alam Malaysia De la Salle University Department of Electronics and Computer Engineering Manila Philippines De la Salle University Department of Mechanical Engineering Manila Philippines

ISBN: (纸本)9798350381177

The degradation of Earth's natural resources and environmental health due to improper anthropological activities, mainly through unoptimized food production, is manifested through climate change that negatively alters the productivity in the agricultural sector. Because of this challenge in open terrestrial agriculture, the concept of space farming is believed to be significant in delivering fresh and quality food for the people on top of providing for astronauts and making them healthy in space. However, another problem emerges in the view of circular economy (CE) which is a production and consumption idealism that avoids degradation of natural resources and environment in producing one food unit and despite the collaborative advances in space technology, particularly in astrobotany, the materialization of CE and the absolutism of artificial intelligence (AI) are still partly imaginary. This study employed a bibliometric, scientometric and systematic analysis to highlight the advantages, limitations, and connections of CE, AI, and vertical farming (VF) which led to establishing a technosignature model for sustainable space food production. Here, CE, AI and VF were singularized as a model for sustainable space food production and identified their potential interplay. Based on scientific correlations, it is undoubtedly true that CE, AI, and VF have existing mutualism in Earth-based systems, but the degree of its importance as a whole is not yet completely appreciated for space farming. The developed CE-AI-VF technosignature model is scalable and adaptable if the government and scientific community put it into action accompanied by science policies. © 2023 IEEE.

关键词： Climate change

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One-Step Laser-Induced Dissolvable PVA Mask for 3D Soft Carbon Electrode Array 38

One-Step Laser-Induced Dissolvable PVA Mask for 3D Soft Carb...

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38th IEEE International Conference on Micro Electro Mechanical systems, MEMS 2025

作者： Wang, Xuanqi Xue, Kai Bai, Ruiyu Huang, Ye Zhang, Zimo You, Xiaoli Wang, Minghao Chang, Honglong Ji, Bowen Northwestern Polytechnical University Unmanned System Research Institute China Northwestern Polytechnical University National Key Laboratory of Unmanned Aerial Vehicle Technology Integrated Research and Development Platform of Unmanned Aerial Vehicle Technology China Northwestern Polytechnical University Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace School of Mechanical Engineering China Northwestern Polytechnical University Sanhang Institute for Brain Science and Technology China Northwestern Polytechnical University Institute of Medical Research China Hangzhou Dianzi University Moe Engineering Research Center of Smart Microsensors and Microsystems College of Electronics and Information China

ISBN: (纸本)9798331508890

This paper introduces a 3D soft carbon electrode array, fabricated through a one-step laser-induced process integrating a water-dissolvable polyvinyl alcohol (PVA) mask. This approach achieves precise conical microstructures and robust conductive channels using hybrid MWCNT@PDMS conductive paste. The soft carbon electrode sites with a 3D conical microstructure are designed to enhance proximity to neural tissue, thereby enhancing electrocorticogram (ECoG) signal quality and enabling effective neural stimulation. The electrode array demonstrates remarkable stretchability (25% over 1,000 cycles without failure) and stability (equivalent to 66 days in vivo). Compared to conventional materials, our electrodes exhibit superior electrochemical properties, including lower impedance (9.7 kΩ at 1 kHz) and higher signal-to-noise ratio (SNR, 61.7 dB). Thus, this one-step process is a cost-effective, scalable solution for recording and modulating central or peripheral neural tissues. © 2025 IEEE.

关键词： Carbon electrodes

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