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Artificial intelligence-assisted niacin skin flush screening in early psychosis identification and prediction

General Psychiatry 2022年第2期35卷 76-78页

作者： Tao Chen Haichun Liu Renfang Tian Ranpiao Gan Wenzuo Xu Tianhong Zhang Jijun Wang Department of Economics University of WaterlooWaterlooOntarioCanada Depatment of Statistics and Actuarial Science(Cross Appointed) University of Waterloo WaterlooOntarioCanada Big Data Research Lab Universty of WaterlooWaterlooOntarioCanada Shanghai Niacin Tech Co. LtdShanghal China Labor and Worklife Program Harvard UniversityCambridgeMassachusettsUSA Department of Automation Shanghai Jao Tong UniversityShanghaiChina Ningbo Artificial Intelligent Institute Shanghai Jiao Tong UniversityNingboChina School of Management Economicsand MathematicsKing's University CollegeLondon0ntarioCanada Shanghai Intelligent Psychological Evaluaton and Intervention Engineering Technology Research Center Shanghai Key Laboratory of Psychotic DisordersShanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina Bio-X Institutes Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders(Ministry of Education)ShanghaiChina CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghaiChina Institute of Psychology and Behavioral Science Shanghai Jiao Tong UniversiyShanghaiChina

Schizophrenia is a devastating mental disorder affecting 20 million people *** diagnosis is crucial for disease management and improvement in prognosis,and diagnostic biomarkerscan serveasobjective indicators for the early screening of the *** on the observation of diminished flush responses to niacin in patients with schizophrenia Horrobin proposed anoninvasive niacin skin flush screening for schizophrenia.

关键词： diagnosis prognosis prediction

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Identifiability Analysis of Noise Covariances for LTI Stochastic Systems with Unknown Inputs

arXiv

引用

arXiv 2022年

作者： Kong, He Sukkarieh, Salah Arnold, Travis J. Chen, Tianshi Mu, Biqiang Zheng, Wei Xing Shenzhen518055 China Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities SUSTech Shenzhen518055 China Sydney Institute for Robotics and Intelligent Systems The University of Sydney NSW2006 Australia Madison WI53704 United States School of Data Science Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen518172 China Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Computer Data and Mathematical Sciences Western Sydney University SydneyNSW2751 Australia

Most existing works on optimal filtering of linear time-invariant (LTI) stochastic systems with arbitrary unknown inputs assume perfect knowledge of the covariances of the noises in the filter design. This is impractical and raises the question of whether and under what conditions one can identify the process and measurement noise covariances (denoted as Q and R, respectively) of systems with unknown inputs. This paper considers the identifiability of Q/R using the correlation-based measurement difference approach. More specifically, we establish (i) necessary conditions under which Q and R can be uniquely jointly identified;(ii) necessary and sufficient conditions under which Q can be uniquely identified, when R is known;(iii) necessary conditions under which R can be uniquely identified, when Q is known. It will also be shown that for achieving the results mentioned above, the measurement difference approach requires some decoupling conditions for constructing a stationary time series, which are proved to be sufficient for the well-known strong detectability requirements established by Hautus. © 2022, CC BY.

关键词： Stochastic systems

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Sample hardness based gradient loss for long-tailed cervical cell detection

arXiv

引用

arXiv 2022年

作者： Liu, Minmin Li, Xuechen Gao, Xiangbo Chen, Junliang Shen, Linlin Wu, Huisi Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence of Robotics of Society Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China University of California Irvine United States

Due to the difficulty of cancer samples collection and annotation, cervical cancer datasets usually exhibit a long-tailed data distribution. When training a detector to detect the cancer cells in a WSI (Whole Slice Image) image captured from the TCT (Thinprep Cytology Test) specimen, head categories (e.g. normal cells and inflammatory cells) typically have a much larger number of samples than tail categories (e.g. cancer cells). Most existing state-of-the-art long-tailed learning methods in object detection focus on category distribution statistics to solve the problem in the long-tailed scenario, without considering the "hardness" of each sample. To address this problem, in this work we propose a Grad-Libra Loss that leverages the gradients to dynamically calibrate the degree of hardness of each sample for different categories, and re-balance the gradients of positive and negative samples. Our loss can thus help the detector to put more emphasis on those hard samples in both head and tail categories. Extensive experiments on a long-tailed TCT WSI image dataset show that the mainstream detectors, e.g. RepPoints, FCOS, ATSS, YOLOF, etc. trained using our proposed Gradient-Libra Loss, achieved much higher (7.8%) mAP than that trained using cross-entropy classification loss. Copyright © 2022, The Authors. All rights reserved.

关键词： Cytology

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Computer-Automated Design of Self-Aligned Multi-Ball Pitch Artifact with High Precision

SSRN

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SSRN 2024年

作者： Zhu, Hongjun Liu, Binghong Zhou, Sen Zhang, Xiaoyan Xin, Liu Chen, Kuo Qian, Ying School of Software Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Engineering Research Center of Software Quality Assurance Testing and Assessment Chongqing400065 China College of Mechanical and Vehicle Engineering Chongqing University Chongqing400044 China Chongqing Academy of Metrology and Quality Inspection Chongqing401121 China School of Engineering Computer and Mathematical Sciences Auckland University of Technology Auckland1010 New Zealand Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China

This study presents a computational methodology for developing a multi-ball system that automatically aligns during assembly processes. The contributions of this work are threefold: Firstly, a comprehensive error analysis of the multi-ball system is performed. It is found that temperature and pressure-induced deformations should not be ignored when micrometer-level precision is required. Secondly, a novel process flow for designing the multi-ball pitch artifact is introduced, which enables optimization decision-making. Lastly, a series of experiments are conducted on standard bearing balls (grade G20). The resulting artifact meets the Class 1 standards. It is reasonable to assume that, by using balls of grade G3 precision, the multi-ball artifact can achieve accuracy at the sub-micrometer level. © 2024, The Authors. All rights reserved.

关键词： Decision making

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Design of a New Pneumatic Atomizer with V-shaped Slits and Numerical Study on the Spray Flow Field 7th

Design of a New Pneumatic Atomizer with V-shaped Slits and N...

引用

7th International Conference on Life System Modeling and Simulation, LSMS 2021, and the 7th International Conference on intelligent Computing for Sustainable Energy and Environment, ICSEE 2021

作者： Qiao, Wentong Qian, Lijuan Zhu, Chenlin Shao, Xianyue Wang, Peng College of Mechanical and Electrical Engineering China Jiliang University Hangzhou310018 China Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province China Jiliang University Hangzhou310018 China Zhejiang Ruifeng Wufu Pneumatic Tools Co. Ltd. Taizhou317500 China Zhejiang Santian Car Air Conditioning Compressor Co. Ltd. Lishui323000 China

ISBN: (纸本)9789811672125

In order to better atomize the water-based paint, a new pneumatic atomizer with V-shaped slits is proposed in this paper. The atomizing air hole is improved by changing its configuration from the ordinary annular structure to a V-shaped groove structure. A 3D model of this atomizer is established for numerical simulation, where the turbulent transport is modeled using the realizable k- Ε model. By means of computational fluid dynamics (CFD), the velocity and pressure distributions in the interference spray flow field are numerically investigated by varying the shaping air pressure when different numbers of V-shaped slits are employed. The results show that the higher the shaping air pressure is, the more even the airflow is distributed on the target plate. With increasing the number of the slits, the local high-speed airflow near the nozzle in the spray flow field will be enhanced, which is conducive to atomizing water-based paint. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Flow fields

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Research on SDN Multi Controller Deployment based on K-means++

Research on SDN Multi Controller Deployment based on K-means...

引用

2020 International Conference on 5G Mobile Communication and Information Science, MCIS-5G 2020

作者： Yue, Li Junyan, Chen Chuxin, Liang Xiaochun, Lei School of Computer and Information Security Guilin University of Electronic Technology Guilin541004 China Guangxi Cloud Computing and Big Data Collaborative Innovation Center Guilin541001 China Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin541004 China

In large-scale SDN network, a single centralized controller can not meet the demand, and multiple controllers are needed to deal with the problem, which leads to the problem of multi control balanced deployment. In this paper, the topology of SDN switches and links is known. The main research contents are as follows: The mathematical model of SDN multi controller deployment is established, and the appropriate network topology is selected and the multi controller deployment problem is solved. In the research, the number of controllers needed in the network and the switches managed by each controller is determined by the algorithm results, and the mapping relationship between controllers and switches is established. By analyzing the deployment results of the same network topology under different algorithms, the influence of different clustering algorithms on the experimental results is obtained. At the same time, the better deployment experiment results are simulated. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Controllers

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A Recommendation Algorithm Based on Belief Propagation and Probability Matrix Factorization

A Recommendation Algorithm Based on Belief Propagation and P...

引用

IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Juan Li Xiao-Feng Wang Wan-Jing Feng North Minzu University Yinchuan China Ningxia Key Laboratory of Intelligent Information and Big Data Processing Yinchuan China

ISBN: (数字)9781728166094

ISBN: (纸本)9781728166100

Collaborative filtering recommendation algorithm is the most important recommended application methods at present. The selection of users (items) similarity measurement methods in this method may affect the final recommendation effect. Probability matrix factorization algorithm is one of the more and more methods applied in collaborative filtering algorithms. This paper proposes to convert the users (items) consumption network into a bipartite graph and use belief propagation algorithm to obtain fuzzy nearest neighbor set, improving users (items) similarity measure and incorporating it into probability matrix factorization. Experimental tests on the data set showed that the proposed method performance was good.

关键词： Collaborative filtering Computational modeling Probability data models Bipartite graph Matrix converters Belief propagation

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Wireless Information and Power Transmission for Two-Directional Traffic in Spatial-Division Multiple Access Networks

Wireless Information and Power Transmission for Two-Directio...

引用

International Conference on Communications, Signal Processing, and Systems, CSPS 2018

作者： Zhao, Juan Xu, Xiaolong Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing210003 China

ISBN: (纸本)9789811362637

Both the power and the information are transmitted wirelessly, respectively, in downlink and uplink traffics for spatial-division multiple access networks. The receiver in uplink is equipped with multiple antennas to support the multiple access *** the first frequency band, the transmitter sends power wirelessly to multiple users at the same time. In the second frequency band, all the users utilize the received power, respectively, to send information wirelessly to the receiver (the same node in the downlink). The objective is to achieve the best energy efficiency over the whole networks while assuring the required quality of service in terms of the minimum throughput over all the unlink traffics. The unknown parameter is the transmit power in downlink. The difficulty is to deal with the hard derivations over the closed-form solution to the complicated problem. The proposed method successfully obtains the optimal solution in terms of the closed form. Numerical simulations verify the good performance achieved by our proposed method. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Power transmission

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IGNet: Constructing Rooted Phylogenetic Networks Based on Incompatible Graphs 15th

IGNet: Constructing Rooted Phylogenetic Networks Based on In...

引用

15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019

作者： Wang, Juan Guo, Maozu School of Computer Science Inner Mongolia University Hohhot010021 China School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture Beijing100044 China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing100044 China

ISBN: (纸本)9783030325909

Phylogenetic networks are used in biology to describe reticulate or non-treelike evolution events. Thus, constructing phylogenetic networks is essential for the research on the evolution of species. IGNet is a web-based server for on-line construction of rooted phylogenetic networks from rooted phylogenetic trees based on an incompatible graph. Two methods, and BIMLR, were introduced and implemented in IGNet to help users construct rooted phylogenetic networks rapidly and efficiently. Besides the on-line computation service, the IGNet also provides downloadable Java programs of and BIMLR for off-line construction of rooted phylogenetic networks. IGNet is availability from http://***. © 2020, Springer Nature Switzerland AG.

关键词： Biology

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Protocol Design of Efficient Access for Laptop in Wi-Fi Networks with Guaranteed Security

Protocol Design of Efficient Access for Laptop in Wi-Fi Netw...

引用

International Conference on Communications, Signal Processing, and Systems, CSPS 2018

作者： Zhao, Juan Xu, Xiaolong Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing210003 China

ISBN: (纸本)9789811362637

Computer security is very important since three decades ago, which becomes quite challenging especially in the wireless access scenarios. In this paper, we summarize the technologies of the development over the computer security. Then, we propose a couple of iterative algorithms to carry out the laptop selection to wirelessly access the computer networks with the existence of the eavesdropper. The goal of designing the algorithms is, respectively, to maximize the secured throughput of the wireless access channel and maximize the energy efficiency for the target laptop with the existence of the eavesdropper. Simulations demonstrate the effectiveness of the proposed algorithms. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Wi-Fi

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