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Tuning the surface electronic structure of noble metal aerogels to promote the electrocatalytic oxygen reduction

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Journal of Energy Chemistry 2024年第2期89卷 557-564,I0013页

作者： Hongxing Yuan Wei gao Xinhao wan Jianqi Ye Dan Wen State Key Laboratory of Solidification Processing School of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072ShaanxiChina

The sluggish kinetics of the oxygen reduction reaction(ORR)is the bottleneck for various electrochemical energy conversion *** the electronic structure of electrocatalysts by ligands has received particular attention in deriving valid ORR ***,the surface electronic structure of Ptbased noble metal aerogels(NMAs)was modulated by various organic ligands,among which the electron-withdrawing ligand of 4-methylphenylene effectively boosted the ORR *** calculations suggested the smaller energy barrier for the transformation of O^(*) to OH^(*) and downshift the d-band center of Pt due to the interaction between 4-methylphenylene and the surface metals,thus enhancing the ORR intrinsic *** Pt3Ni and Pt Pd aerogels with 4-methylphenylene decoration performed significant enhancement in ORR activity and durability in different ***,the 4-methylphenylene modified Pt Pd aerogel exhibited the higher halfwave potential of 0.952 V and the mass activity of 10.2 times of commercial Pt/*** work explained the effect of electronic structure on ORR electrocatalytic properties and would promote functionalized NMAs as efficient ORR electrocatalysts.

关键词： Noble metal aerogels Surface electronic structure ORR Electrocatalyst Organic ligands

Incentive Feedback Stackelberg Strategy in Mean-Field Type Stochastic Difference Games

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Journal of Systems Science & Complexity 2024年第4期37卷 1425-1445页

作者： gao Wenhui lin Yaning ZHANG Weihai School of Mathematics and Statistics Shandong University of TechnologyZibo 255000China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

This paper designs an incentive Stackelberg strategy for the discrete-time stochastic systems with mean-field *** conditions for the existence of such a design are ***,the incentive strategy is obtained as a feedback form including the deviation of the state and its mathematical ***,the stability analysis is *** is found that the stability can be guaranteed by the *** addition,the specific algorithm is proposed and its effectiveness is checked by two examples.

关键词： Discrete-time mean-field stochastic systems incentive strategy Stackelberg game teamoptimal solution

Device design principles and bioelectronic applications for flexible organic electrochemical transistors

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International Journal of Extreme Manufacturing 2024年第1期6卷 126-153页

作者： lin gao Mengge Wu Xinge Yu Junsheng Yu State Key Laboratory of Electronic Thin Films and Integrated Devices School of Optoelectronic Science and EngineeringUniversity of Electronic Science and Technology of China(UESTC)Chengdu 610054People’s Republic of China Department of Biomedical Engineering City University of Hong KongHong Kong Special Administrative Region of ChinaPeople’s Republic of China

Organic electrochemical transistors(OECTs) exhibit significant potential for applications in healthcare and human-machine interfaces, due to their tunable synthesis, facile deposition, and excellent biocompatibility. Expanding OECTs to the fexible devices will significantly facilitate stable contact with the skin and enable more possible bioelectronic applications. In this work,we summarize the device physics of fexible OECTs, aiming to offer a foundational understanding and guidelines for material selection and device architecture. Particular attention is paid to the advanced manufacturing approaches, including photolithography and printing techniques, which establish a robust foundation for the commercialization and large-scale fabrication. And abundantly demonstrated examples ranging from biosensors, artificial synapses/neurons, to bioinspired nervous systems are summarized to highlight the considerable prospects of smart healthcare. In the end, the challenges and opportunities are proposed for fexible OECTs. The purpose of this review is not only to elaborate on the basic design principles of fexible OECTs, but also to act as a roadmap for further exploration of wearable OECTs in advanced bio-applications.

关键词： flexible organic electrochemical transistors wearable bioelectronics manufacturing approaches device physics neuromorphic applications

Demixing microwave signals using system-on-chip photonic processor

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Light(Science & Applications) 2024年第3期13卷 399-401页

作者： Sheng gao Chu Wu Xing lin Department of Electronic Engineering Tsinghua University100084 BeijingChina Beijing National Research Center for Information Science and Technology Tsinghua University100084 BeijingChina

The integrated photonic processor,co-packaged with electronic peripherals,is proposed for blind source separation of microwave signals,which separates signal-of-interest from dynamic interference with real-time adapta... 详细信息

关键词： processor microwave mixing

Generating diverse clothed 3D human animations via a generative model

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Computational Visual Media 2024年第2期10卷 261-277页

作者： Min Shi Wenke Feng lin gao Dengming Zhu School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Data-driven garment animation is a current topic of interest in the computer graphics *** approaches generally establish the mapping between a single human pose or a temporal pose sequence,and garment deformation,but it is difficult to quickly generate diverse clothed human *** address this problem with a method to automatically synthesize dressed human animations with temporal consistency from a specified human motion *** the heart of our method is a twostage ***,we first learn a latent space encoding the sequence-level distribution of human motions utilizing a transformer-based conditional variational autoencoder(Transformer-CVAE).Then a garment simulator synthesizes dynamic garment shapes using a transformer encoder-decoder *** the learned latent space comes from varied human motions,our method can generate a variety of styles of motions given a specific motion *** means of a novel beginning of sequence(BOS)learning strategy and a self-supervised refinement procedure,our garment simulator is capable of efficiently synthesizing garment deformation sequences corresponding to the generated human motions while maintaining temporal and spatial *** verify our ideas *** is the first generative model that directly dresses human animation.

关键词： Transformer garment animation conditional variational autoencoder(CVAE) computer graphics

Aryl hydrocarbon receptor:linking environment to aging process in elderly patients with asthma

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Chinese Medical Journal 2024年第4期137卷 382-393页

作者： Tianrui Yang Rongjun wan Wei Tu Sai Nithin Avvaru Peisong gao Division of Allergy and Clinical Immunology Department of MedicineJohns Hopkins University School of MedicineBaltimoreMD 21224USA Department of Geriatric Medicine The First People’s Hospital of Yunnan ProvinceKunmingYunnan 650032China Department of Respiratory Medicine Xiangya HospitalCentral South UniversityChangshaHunan 410008China The State Key Laboratory of Respiratory Disease for Allergy Shenzhen Key Laboratory of Allergy and ImmunologyShenzhen University School of MedicineShenzhenGuangdong 518055China

Aging is a significant risk factor for various diseases,including asthma,and it often leads to poorer clinical outcomes,particularly in elderly *** is recognized that age-related diseases are due to a time-dependent accumulation of cellular damage,resulting in a progressive decline in cellular and physiological functions and an increased susceptibility to chronic *** effects of aging affect not only the elderly but also those of younger ages,posing significant challenges to global ***,understanding the molecular mechanisms associated with aging in different diseases is *** intriguing factor is the aryl hydrocarbon receptor(AhR),which serves as a cytoplasmic receptor and ligand-activated transcription factor and has been linked to the aging ***,we review the literature on several major hallmarks of aging,including mitochondrial dysfunction,cellular senescence,autophagy,mitophagy,epigenetic alterations,and microbiome ***,we provide an overview of the impact of AhR on these hallmarks by mediating responses to environmental exposures,particularly in relation to the immune ***,we explore how aging hallmarks affect clinical characteristics,inflammatory features,exacerbations,and the treatment of *** is suggested that AhR signaling may potentially play a role in regulating asthma phenotypes in elderly populations as part of the aging process.

关键词： Aging Environment Reactive oxygen species Senescence Aryl hydrocarbon receptor Asthma

Diffusionmodels for time-series applications: a survey

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 19-41页

作者： Lequan lin Zhengkun LI Ruikun LI Xuliang LI Junbin gao Discipline of Business Analytics The University of Sydney Business SchoolCamperdownNSW 2006Australia Postdoctoral Programme of Zhongtai Securities Co. Ltd.Jinan 250000China

Diffusion models, a family of generative models based on deep learning, have become increasinglyprominent in cutting-edge machine learning research. With distinguished performance in generating samples thatresemble the observed data, diffusion models are widely used in image, video, and text synthesis nowadays. Inrecent years, the concept of diffusion has been extended to time-series applications, and many powerful models havebeen developed. Considering the deficiency of a methodical summary and discourse on these models, we providethis survey as an elementary resource for new researchers in this area and to provide inspiration to motivate futureresearch. For better understanding, we include an introduction about the basics of diffusion models. Except forthis, we primarily focus on diffusion-based methods for time-series forecasting, imputation, and generation, andpresent them, separately, in three individual sections. We also compare different methods for the same applicationand highlight their connections if applicable. Finally, we conclude with the common limitation of diffusion-basedmethods and highlight potential future research directions.

关键词： Diffusion models Time-series forecasting Time-series imputation Denoising diffusion probabilistic models Score-based generative models Stochastic differential equations

Dendritic Learning and Miss Region Detection-Based Deep Network for Multi-scale Medical Segmentation

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Journal of Bionic Engineering 2024年第4期21卷 2073-2085页

作者： lin Zhong Zhipeng Liu Houtian He Zhenyu Lei Shangce gao Faculty of Engineering University of ToyamaToyama9300887Japan

Automatic identification and segmentation of lesions in medical images has become a focus area for *** for medical image provides professionals with a clearer and more detailed view by accurately identifying and isolating specific tissues,organs,or lesions from complex medical images,which is crucial for early diagnosis of diseases,treatment planning,and efficacy *** paper introduces a deep network based on dendritic learning and missing region detection(DMNet),a new approach to medical image *** combines a dendritic neuron model(DNM)with an improved SegNet framework to improve segmentation accuracy,especially in challenging tasks such as breast lesion and COVID-19 CT scan *** work provides a new approach to medical image segmentation and confirms its *** have demonstrated that DMNet outperforms classic and latest methods in various performance metrics,proving its effectiveness and stability in medical image segmentation tasks.

关键词： Medical image segmentation Dendritic learning Deep supervision Dynamic focal loss

Hybrid pedestrian positioning system using wearable inertial sensors and ultrasonic ranging

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Defence Technology（防务技术） 2024年第3期33卷 327-338页

作者： lin Qi Yu Liu Chuanshun gao Tao Feng Yue Yu School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China Department of Land Surveying and Geo-Informatics The Hong Kong Polytechnic UniversityHong Kong 999077China

Pedestrian positioning system(PPS)using wearable inertial sensors has wide applications towards various emerging fields such as smart healthcare,emergency rescue,soldier positioning,*** performance of traditional PPS is limited by the cumulative error of inertial sensors,complex motion modes of pedestrians,and the low robustness of the multi-sensor collaboration *** paper presents a hybrid pedestrian positioning system using the combination of wearable inertial sensors and ultrasonic ranging(H-PPS).A robust two nodes integration structure is developed to adaptively combine the motion data acquired from the single waist-mounted and foot-mounted node,and enhanced by a novel ellipsoid constraint *** addition,a deep-learning-based walking speed estimator is proposed by considering all the motion features provided by different nodes,which effectively reduces the cumulative error originating from inertial ***,a comprehensive data and model dual-driven model is presented to effectively combine the motion data provided by different sensor nodes and walking speed estimator,and multi-level constraints are extracted to further improve the performance of the overall *** results indicate that the proposed H-PPS significantly improves the performance of the single PPS and outperforms existing algorithms in accuracy index under complex indoor scenarios.

关键词： Pedestrian positioning system Wearable inertial sensors Ultrasonic ranging Deep-learning Data and model dual-driven