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Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular–Structural–Functional Co-alterations

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Research 2024年第1期2023卷 471-487页

作者： Lin Jiang Yueheng Peng Runyang He Qingqing Yang Chanlin Yi Yuqin Li Bin Zhu Yajing Si Tao Zhang Bharat B.Biswal Dezhong Yao Lan Xiong Fali Li Peng Xu The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Life Science and Technology Center for Information in BioMedicineUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Psychology Xinxiang Medical UniversityXinxiang 453003China School of Science Xihua UniversityChengdu 610039China Department of Biomedical Engineering New Jersey Institute of TechnologyNewarkNJUSA School of Electrical Engineering Zhengzhou UniversityZhengzhou 450001China Research Unit of NeuroInformation Chinese Academy of Medical Sciences2019RU035ChengduChina Montreal Neurological Institute and Hospital McGill UniversityMontrealQCCanada Department of Electrical and Computer Engineering Faculty of Science and TechnologyUniversity of MacaoMacaoChina Radiation Oncology Key Laboratory of Sichuan Province 610041 ChengduChina Rehabilitation Center Qilu Hospital of Shandong UniversityJinan 250012China

Human cognition is usually underpinned by intrinsic structure and functional neural co-activation in spatially distributed brain *** to lacking an effective approach to quantifying the covarying of structure and functional responses,how the structural–functional circuits interact and how genes encode the relationships,to deepen our knowledge of human cognition and disease,are still ***,we propose a multimodal covariance network(MCN)construction approach to capture interregional covarying of the structural skeleton and transient functional activities for a single *** further explored the potential association between brain-wide gene expression patterns and structural–functional covarying in individuals involved in a gambling task and individuals with major depression disorder(MDD),adopting multimodal data from a publicly available human brain transcriptomic atlas and 2 independent *** analysis showed a replicable cortical structural–functional fine map in healthy individuals,and the expression of cognition-and disease phenotype-related genes was found to be spatially correlated with the corresponding MCN *** analysis of cell type-specific signature genes suggests that the excitatory and inhibitory neuron transcriptomic changes could account for most of the observed correlation with task-evoked MCN differences.

关键词： alterations evoked spatially

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Subwavelength Fano Resonant Porous Silicon Metasurfaces for Sensing and Dynamic Structural Color

Subwavelength Fano Resonant Porous Silicon Metasurfaces for ...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Gafsi, Saddam Dos Santos, Estevao Marques Kravchenko, Ivan Ryckman, Judson D. Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States Center for Nanophase Materials Science Oak Ridge National Laboratory Oak RidgeTN37831 United States

ISBN: (纸本)9781957171395

We introduce the design, fabrication, and experimental investigation of subwavelength Fano resonant porous silicon metasurfaces functioning on the principle of guided mode resonance. These metasurfaces exhibit promise for dynamic structural coloration and sensing applications. CLEO 2024 © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Mesoporous materials

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Decoding Radiologists’ Intentions: A Novel System for Accurate Region Identification in Chest X-Ray Image Analysis

Decoding Radiologists’ Intentions: A Novel System for Accur...

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IEEE International Symposium on Biomedical Imaging

作者： Akash Awasthi Safwan Ahmad Bryant Le Hien Nguyen Electrical and Computer Engineering Department University of Houston Computer Science Department University of Houston

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

In the realm of chest X-ray (CXR) image analysis, radiologists meticulously examine various regions, documenting their observations in reports. The prevalence of errors in CXR diagnoses, particularly among inexperienced radiologists and hospital residents, underscores the importance of understanding radiologists' intentions and the corresponding regions of interest. This understanding is crucial for correcting mistakes by guiding radiologists to the accurate regions of interest, especially in the diagnosis of chest radiograph abnormalities. In response to this imperative, we propose a novel system designed to identify the primary intentions articulated by radiologists in their reports and the corresponding regions of interest in CXR images. This system seeks to elucidate the visual context underlying radiologists’ textual findings, with the potential to rectify errors made by less experienced practitioners and direct them to precise regions of interest. Importantly, the proposed system can be instrumental in providing constructive feedback to inexperienced radiologists or junior residents in the hospital, bridging the gap in face-to-face communication. The system represents a valuable tool for enhancing diagnostic accuracy and fostering continuous learning within the medical community.

关键词： Visualization Accuracy Image analysis Hospitals Instruments Decoding Diagnostic radiography

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Harnessing the Capabilities of Artificial Intelligence in Retail for Personalized Shopping Experiences

Harnessing the Capabilities of Artificial Intelligence in Re...

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2024 International Conference on Advances in Computing Research on science engineering and Technology, ACROSET 2024

作者： Gambhir, Vinima Sharma, Mohit Kumar Thiruvenkadam, T. Atlas SkillTech University Department of Isme Maharashtra Mumbai India Vivekananda Global University Department of Electrical Engineering Jaipur India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350388800

A revolutionary change has taken place in the retail business as a result of the use of artificial intelligence (AI) to provide more customized shopping experiences. This article investigates the potential of artificial intelligence to transform interactions with customers and improve the efficiency of retail operations. The suggested technique makes use of collaborative filtering, cosine similarity, and dynamic price optimization algorithms to provide individualized product suggestions and competitive pricing strategies. As a result, the level of customer satisfaction is increased, and sales are increased. The suggested technique displays higher performance in comparison to the methods that have been traditionally used by conducting an exhaustive examination of client preferences and real-time market trends. According to the findings of the research, the use of AI-driven customization is crucial to the development of customer loyalty and the growth of revenue for retail businesses. © 2024 IEEE.

关键词： Sales

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A Novel Cluster Analysis-Based Crop Dataset Recommendation Method in Precision Farming

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computer Systems science & engineering 2023年第9期46卷 3239-3260页

作者： K.R.Naveen Kumar Husam Lahza B.R.Sreenivasa Tawfeeq Shawly Ahmed A.Alsheikhy H.Arunkumar C.R.Nirmala Department of Computer Science&Engineering Bapuji Institute of Engineering&TechnologyDavangereKarnatakaIndia Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Information Science&Engineering Bapuji Institute of Engineering&TechnologyDavangereKarnatakaIndia Department of Electrical Engineering Faculty of Engineering at RabighKing Abdulaziz UniversityJeddahSaudi Arabia Department of Electrical Engineering College of EngineeringNorthern Border UniversityArarSaudi Arabia

Data mining and analytics involve inspecting and modeling large pre-existing datasets to discover decision-making *** agriculture uses datamining to advance agricultural *** farmers aren’t getting the most out of their land because they don’t use precision *** harvest crops without a well-planned recommendation *** crop production is calculated by combining environmental conditions and management behavior,yielding numerical and categorical *** existing research still needs to address data preprocessing and crop categorization/***,statistical analysis receives less attention,despite producing more accurate and valid *** study was conducted on a dataset about Karnataka state,India,with crops of eight parameters taken into account,namely the minimum amount of fertilizers required,such as nitrogen,phosphorus,potassium,and pH *** research considers rainfall,season,soil type,and temperature parameters to provide precise cultivation recommendations for high *** presented algorithm converts discrete numerals to factors first,then reduces ***,the algorithm generates six datasets,two fromCase-1(dataset withmany numeric variables),two from Case-2(dataset with many categorical variables),and one from Case-3(dataset with reduced factor variables).Finally,the algorithm outputs a class membership allocation based on an extended version of the K-means partitioning method with lambda *** presented work produces mixed-type datasets with precisely categorized crops by organizing data based on environmental conditions,soil nutrients,and ***,the prepared dataset solves the classification problem,leading to a model evaluation that selects the best dataset for precise crop prediction.

关键词： Data mining crop prediction k-prototypes k-means cluster machine learning

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Characterization of All Optimal Finite-length Codes of Size Four for Binary Symmetric Channels

Characterization of All Optimal Finite-length Codes of Size ...

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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Dong, Yanyan Yang, Shenghao National University of Singapore Department of Electrical and Computer Engineering Singapore The Chinese University of Hong Kong Shenzhen School of Science and Engineering Shenzhen China

ISBN: (纸本)9781665475549

The search for optimal finite-length binary block codes is a long-standing open problem for memoryless binary symmetric channels (BSCs) with the maximum likelihood decoding. A recent work studied the optimal codes among all binary codes of size four, including both linear codes and nonlinear codes, and showed the existence of optimal codes in the set composed of linear codes and Class-I codes for any given blocklength. Furthermore, for blocklength up to 300, it has been shown that there exists a linear code that is optimal among all the codes of size four. However, it is unknown whether there are optimal codes outside the set of linear codes and Class-I codes for a general blocklength. In this paper, we derive a subset of nonlinear codes called Class-II codes and justify that the set composed of linear, Class-I and Class-II codes and their equivalent codes includes all the optimal codes of size four when the blocklength is not equal to 3. For blocklength 3, we verify that there are nonlinear codes (not equivalent to linear, Class-I or Class-II codes) that are optimal. For the blocklength from 2 to 300 and not equal 3, our computer evaluations show that no nonlinear code is optimal except for the ones that are equivalent to linear codes. Moreover, we characterize all the best codes among all linear codes of size four for any given blocklength. © 2023 IEEE.

关键词： Optimal systems

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The Deep Learning Approach For American Sign Language Detection

The Deep Learning Approach For American Sign Language Detect...

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2022 IEEE Creative Communication and Innovative Technology, ICCIT 2022

作者： Pangestu, Gusti Heryadi, Yaya Lukas Suparta, Wayan Arifin, Yulyani Bina Nusantara University School of Computer Science Computer Science Department Binus Graduate Program Computer Science Computer Science Department Jakarta Indonesia Bina Nusantara University Binus Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia Faculty of Engineering Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9781665468763

Sign language has importance rule to deal with communication process especially with impairments hearing people. Sign language detection also attract lot of researchers to join the challenge of research to detect and recognize the sign language in the field of computer science. Hence, there is still no any standard approach and method to recognize the meaning in every pose of sign language. This research proposed a mechanism to detect Alphabet American Sign Language by utilizing Convolutional Neural Network (CNN) process. The CNN approach was chosen based on the ability and capability to recognize image. In this research, MNIST dataset is used for traning and testing process. The proposed CNN architecture produced 97% of accuracy that outperform the previous research using the same dataset which made this architecture promising. © 2022 IEEE.

关键词： Convolutional neural networks

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Predicting the friction angle of clays using a multi-layer perceptron neural network enhanced by yeo-johnson transformation and coral reefs optimization

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Journal of Rock Mechanics and Geotechnical engineering 2024年第10期16卷 3982-4003页

作者： Libing Yang Trung Nguyen-Thoi Trung-Tin Tran College of Civil Engineering and Architecture Hunan Institute of Science and TechnologyYueyang414006China Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh CityViet Nam Faculty of Mechanical-Electrical and Computer Engineering School of TechnologyVan Lang UniversityHo Chi Minh CityViet Nam Department of Information Technology Greenwich VietnamFPT UniversityDa Nang550000Viet Nam

The accurate prediction of the friction angle of clays is crucial for assessing slope stability in engineering *** study addresses the importance of estimating the friction angle and presents the development of four soft computing models:YJ-FPA-MLPnet,YJ-CRO-MLPnet,YJ-ACOC-MLPnet,and *** of all,the Yeo-Johnson(YJ)transformation technique was used to stabilize the variance of data and make it more suitable for parametric statistical models that assume normality and equal *** technique is expected to improve the accuracy of friction angle prediction *** friction angle prediction models then utilized multi-layer perceptron neural networks(MLPnet)and metaheuristic optimization algorithms to further enhance performance,including flower pollination algorithm(FPA),coral reefs optimization(CRO),ant colony optimization continuous(ACOC),and cuckoo search algorithm(CSA).The prediction models without the YJ technique,***-MLPnet,CRO-MLPnet,ACOC-MLPnet,and CSA-MLPnet,were then compared to those with the YJ technique,***-FPA-MLPnet,YJ-CRO-MLPnet,YJ-ACOC-MLPnet,and *** these,the YJ-CRO-MLPnet model demonstrated superior reliability,achieving an accuracy of up to 83%in predicting the friction angle of clay in practical engineering *** improvement is significant,as it represents an increase from 1.3%to approximately 20%compared to the models that did not utilize the YJ transformation technique.

关键词： Natural hazards Slope stability Friction angle Clay Soft computing models Geotechnical engineering

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A New Configuration for Waveguide Filters With Parallel Coupling Paths 15

A New Configuration for Waveguide Filters With Parallel Coup...

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15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023

作者： Wu, Weijun Guo, Zai-Cheng Zhu, Lei Nanjing Normal University School of Electrical and Automation Engineering Nanjing210046 China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering 999078 China

ISBN: (纸本)9798350338874

A new configuration is proposed for filters with parallel coupling paths between the source and load in this paper. The proposed fourth-order waveguide bandpass filter (BPF) with two parallel coupled paths is formally designed through this structure. The filter is working at 6.5 GHz and with 300 MHz bandwidth. Due to the two parallel coupling paths, a pair of transmission zeros (TZs) are generated out of passband. Compared with previous waveguide filters, the coupling paths are connected to the source and load in different sides of input/output waveguide. In this way, the waveguide cavity of the resonator can be increased and the insertion loss of the filter can be greatly reduced. The effectiveness of the fourth-order waveguide bandpass filter is verified by simulation results. © 2023 IEEE.

关键词： Bandpass filters

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Aerosol jet printing of piezoelectric surface acousticwave thermometer

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Microsystems & Nanoengineering 2023年第3期9卷 31-42页

作者： Nicholas McKibben Blake Ryel Jacob Manzi Florent Muramutsa Joshua Daw Harish Subbaraman David Estrada Zhangxian Deng Micron School of Materials Science and Engineering Boise State University1910 W University DriveBoiseID 83725USA Department of Mechanical and Biomedical Engineering Boise State UniversityBoiseID 83725USA School of Electrical Engineering and Computer Science Oregon State University2500 NW Monroe AvenueCorvallisOR 97331USA Idaho National Laboratory Idaho FallsID 83415USA Center for Advanced Energy Studies Idaho FallsID 83401USA

Surface acoustic wave(SAW)devices are a subclass of micro-electromechanical systems(MEMS)that generate an acoustic emission when electrically *** transducers also work as detectors,converting surface strain into readable electrical *** properties of the generated SAW are material dependent and influenced by external factors like *** monitoring temperature-dependent scattering parameters a SAW device can function as a thermometer to elucidate substrate *** fabrication of SAW sensors requires labor-and cost-intensive subtractive processes that produce large volumes of hazardous *** study utilizes an innovative aerosol jet printer to directly write consistent,high-resolution,silver comb electrodes onto a Y-cut LiNbO3 *** printed,two-port,20 MHz SAW sensor exhibited excellent linearity and repeatability while being verified as a thermometer from 25 to 200℃.Sensitivities of the printed SAW thermometer are−96.9×10^(−6)℃^(−1)and−92.0×10^(-6)℃^(−1) when operating in pulse-echo mode and pulse-receiver mode,*** results highlight a repeatable path to the additive fabrication of compact high-frequency SAW thermometers.

关键词： scattering wave surface

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