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Tensor Distribution Regression Based on the 3D Conventional Neural networks

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IEEE/CAA Journal of Automatica Sinica 2023年第7期10卷 1628-1630页

作者： Lin Chen Xin Luo Chongqing Institute of Green and Intelligent Technology Chinese Academy of SciencesChongqing 400714China College of Computer and Information Science Southwest UniversityChongqing 400715China

Dear Editor,This letter presents a novel tensor-distribution-regression model based on 3D conventional neural networks(3D-TDR) with an application to clinical score prediction in aging-related diagnosis. The estimation of clinical scores of subjects using brain magnetic resonance imaging(MRI) helps understand the pathological stage of dementia.

关键词： estimation prediction networks

Covalently Crosslinked networks from Telechelic Polycyclooctene with Reinforced Properties

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Chinese Journal of Chemistry 2023年第16期41卷 2002-2009页

作者： Shengquan Zheng Yue Liu Guifu Si Min Chen CAS Key laboratory of Soft Matter Chermistry Department of Polymer Science and EngineeringUniversity of Science and Technology of ChinaHefeiAnhui 230026China Institutes of Physicol Science and Informotion Technology Anhui UniversityHefeiAnhui 230601China

Comprehensive Summary Introducing covalently crosslinked network to telechelic polymers can enable the formation of advanced polymeric materials with enhanced material properties.In this contribution,well-defined telechelic polymers bearing acetoacetate groups were synthesized via Ru-catalyzed ring-opening metathesis polymerization of cyclooctene in the presence of chain transfer agents.Given the unique feature of muti-site reactive acetoacetate end groups,several crosslinked networks were constructed using different crosslinkers under mild conditions.In the Michael addition reaction system,the introduction of di/trifunctional aliphatic acrylate as crosslinkers significantly enhanced the mechanical properties of the generated crosslinked network(tensile strength up to 27 MPa,elongation at break up to 500%).On the other hand,vitrimers with dynamic covalent crosslinked networks were accessed via transamination of vinylogous urethane reaction using telechelic polymers and tris(2-aminoethyl)amine.

关键词： Telechelic polycyclooctene Crosslinking networks Vitrimers Reinforced properties Recyclable polymers

Nucleus accumbens-linked executive control networks mediating reversal learning in tree shrew brain

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Zoological Research 2022年第4期43卷 528-531页

作者： Ting-Ting Pan Chao Liu De-Min Li Bin-Bin Nie Tian-Hao Zhang Wei Zhang Shi-Lun Zhao Qi-Xin Zhou Hua Liu Gao-Hong Zhu Lin Xu Bao-Ci Shan School of Physics and Microelectronics Zhengzhou UniversityZhengzhouHenan 450001China Beijing Engineering Research Center of Radiographic Techniques and Equipment Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China CAS Key Laboratory of Animal Models and Human Disease Mechanisms and KIZ-SU Joint Laboratory of Animal Model and Drug Developmentand Laboratory of Learning and MemoryKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Department of Nuclear Medicine First Affiliated Hospital of Kunming Medical UniversityKunmingYunnan 650032China School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China CAS Centre for Excellence in Brain Science and Intelligent Technology Shanghai 200031China

DEAR EDITOR,Cognitive flexibility is crucial for animal survival but is frequently impaired in neuropsychiatric disorders.Although many brain structures and functional networks are involved in cognitive flexibility,the neural mechanisms underlying cooperation among specific functional networks remain unclear from a global perspective.In this study,[^(18)F]-fluorodeoxyglucose positron emission tomography(FDG-PET)was performed on 19 male tree shrews after four different visual discrimination tasks,including baseline,learning expert(LE),reversal naive(RN),and reversal expert(RE).

关键词： networks EDIT tree

Spatial scaling of soil microbial co-occurrence networks in a fragmented landscape

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微生物(英文) 2023年第2期2卷 209-215页

作者： Pandeng Wang Shao-Peng Li Xian Yang Xingfeng Si Wen-Jun Li Wensheng Shu Lin Jiang State Key Laboratory of Biocontrol School of Ecology&School of Life SciencesSun Yat‐Sen UniversityGuangzhouChina School of Biological Sciences Georgia Institute of TechnologyAtlantaGeorgiaUSA Zhejiang Tiantong Forest Ecosystem National Observation and Research Station School of Ecological and Environmental SciencesEast China Normal UniversityShanghaiChina Institute of Eco‐Chongming(IEC) ShanghaiChina School of Life Sciences South China Normal UniversityGuangzhouChina

Impact statement Habitat loss has been a primary threat to biodiversity.However,species do not function in isolation but often associate with each other and form complex networks.Thus,revealing how the network complexity and stability scale with habitat area will give us more insights into the effects of habitat loss on ecosystems.In this study,we explored the relationships between the island area and the network complexity and stability of soil microbes.We found that the complexity and stability of soil microbial co‐occurrence networks scale positively with island area,indicating that habitat loss will potentially simplify and destabilize soil microbial networks.

关键词： soil habitat networks

Resource allocation optimization for SWIPT full-duplex relaying networks with practical energy harvester

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The Journal of China Universities of Posts and Telecommunications 2023年第1期30卷 39-46页

作者： Xu Siyang Song Xin Zhu Jiahui School of Computer and Communication Engineering Northeastern University at QinhuangdaoQinhuangdao 066004China

In this paper,the resource allocation optimization for the simultaneous wireless information and power transfer(SWIPT)full-duplex(FD)relaying networks is investigated,in which the power-constrained relay scavenges energy from the source signal and assists information transmission by FD operation.Taking into account non-linear energy harvesting(EH)hardware circuit characteristics of the relay,the information rate maximization problem is developed by jointly optimizing the time-switching(TS)factor and transmission powers of the source in two different phases.However,the formulated optimization is highly non-convex and difficult to solve.To cope with this problem,the primary problem is decomposed into two sub-problems with respect to the TS factor and transmission powers.After solving these two sub-problems,the final sub-optimal solutions can be obtained by alternating search.Simulation results prove that the optimization of both TS factor and transmission powers can effectively enhance the information rate for the considered networks.

关键词： resource allocation optimization full-duplex relaying networks energy harvesting information rate

Genetic association analysis-based networks and classification of human UCP1 polymorphisms

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Genes & Diseases 2024年第3期11卷 63-65页

作者： Donghai Li State Key Laboratory of Pharmaceutical Biotechnology School of Life SciencesNanjing UniversityJiangsu 210023China

Uncoupling protein 1(UCP1,also known as thermogenin or SLC25A7)plays an important role in the uncoupling of oxidative phosphorylation and adaptive non-shivering thermogenesis(NST).The genomic location for UCP1 is chromosome 4 q31.1:140,555,770--140,568,961(GRCh38/hg38)and its size is 13,192 bases split into 6 exons.In dbSNP,3650 short genetic variations of human UCP1 are documented.In this study,UCP1 serves as an example to construct polymorphism-trait networks and enable a func-tional classification.

关键词： classification. UCP1 networks

Ensemble learning of diffractive optical networks

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Light(Science & Applications) 2021年第1期10卷 123-135页

作者： Md Sadman Sakib Rahman Jingxi Li Deniz Mengu Yair Rivenson Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos AngelesCA 90095USA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCA 90095USA

A plethora of research advances have emerged in the fields of optics and photonics that benefit from harnessing the power of machine learning.Specifically,there has been a revival of interest in optical computing hardware due to its potential advantages for machine learning tasks in terms of parallelization,power efficiency and computation speed.Diffractive deep neural networks(D^(2)NNs)form such an optical computing framework that benefits from deep learning-based design of successive diffractive layers to all-optically process information as the input light diffracts through these passive layers.D^(2)NNs have demonstrated success in various tasks,including object classification,the spectral encoding of information,optical pulse shaping and imaging.Here,we substantially improve the inference performance of diffractive optical networks using feature engineering and ensemble learning.After independently training 1252 D^(2)NNs that were diversely engineered with a variety of passive input filters,we applied a pruning algorithm to select an optimized ensemble of D^(2)NNs that collectively improved the image classification accuracy.Through this pruning,we numerically demonstrated that ensembles of N=14 and N=30 D^(2)NNs achieve blind testing accuracies of 61.14±0.23%and 62.13±0.05%,respectively,on the classification of GFAR-10 test images,providing an inference improvennent of>16%compared to the average performance of the individual D^(2)NNs within each ensemble.These results constitute the highest inference accuracies achieved to date by any diffractive optical neural network design on the same dataset and might provide a significant leap to extend the application space of diffractive optical image classification and machine vision systems.

关键词： networks collective successive

A modular microfluidic system based on a multilayered configuration to generate large-scale perfusable microvascular networks

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Microsystems & Nanoengineering 2021年第1期7卷 63-75页

作者： Tao Yue Da Zhao Duc T.T.Phan Xiaolin Wang Joshua Jonghyun Park Zayn Biviji Christopher C.W.Hughes Abraham P.Lee Department of Biomedical Engineering University of CaliforniaIrvineCAUSA School of Mechatronic Engineering and Automation Shanghai UniversityShanghaiChina Department of Molecular Biology and Biochemistry University of CaliforniaIrvineCAUSA Department of Micro/Nano Electronics Shanghai Jiao Tong UniversityShanghaiChina National Key Laboratory of Science and Technology for Micro/Nano Fabrication Shanghai Jiao Tong UniversityShanghaiChina Key Laboratory for Thin Film and Micro Fabrication of the Ministry of Education Shanghai Jiao Tong UniversityShanghaiChina Department of Electrical Engineering and Computer Science University of CaliforniaIrvineCAUSA. Department of Applied Mathematics-Biology Brown UniversityProvidenceRIUSA. Department of Mechanical and Aerospace Engineering University of CaliforniaIrvineCAUSA

The vascular network of the circulatory system plays a vital role in maintaining homeostasis in the human body.In this paper,a novel modular microfluidic system with a vertical two-layered configuration is developed to generate largescale perfused microvascular networks in vitro.The two-layer polydimethylsiloxane(PDMS)configuration allows the tissue chambers and medium channels not only to be designed and fabricated independently but also to be aligned and bonded accordingly.This method can produce a modular microfluidic system that has high flexibility and scalability to design an integrated platform with multiple perfused vascularized tissues with high densities.The medium channel was designed with a rhombic shape and fabricated to be semiclosed to form a capillary burst valve in the vertical direction,serving as the interface between the medium channels and tissue chambers.Angiogenesis and anastomosis at the vertical interface were successfully achieved by using different combinations of tissue chambers and medium channels.Various large-scale microvascular networks were generated and quantified in terms of vessel length and density.Minimal leakage of the perfused 70-kDa FITC-dextran confirmed the lumenization of the microvascular networks and the formation of tight vertical interconnections between the microvascular networks and medium channels in different structural layers.This platform enables the culturing of interconnected,large-scale perfused vascularized tissue networks with high density and scalability for a wide range of multiorgan-on-a-chip applications,including basic biological studies and drug screening.

关键词： interconnection networks configuration

A Trust Assessment-Based Distributed Localization Algorithm for Sensor networks Under Deception Attacks

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1879-1882页

作者： Ya Wang Xinming Chen Lei Shi Yuhua Cheng Houjun Wang the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731 the School of Intelligent Manufacturing Chengdu Technological UniversityChengdu 611730China

Dear Editor,This letter is concerned with the distributed localization issue for wireless sensor networks subject to deception attacks.It is assumed that malicious nodes randomly launch attacks to tamper the ranging information between sensors.In order to accommodate the effects of deception attacks,a trust assessment-based distributed localization algorithm is proposed.Combined with data fusion of barycentric coordinates,our algorithm can achieve accurate localization.Finally,numerical simulations are given to validate the effectiveness of the proposed localization algorithm.

关键词： wireless concerned networks