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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Negin Moghadasi Misagh Piran Stephen Baek Rupa S. Valdez Michael D. Porter DeAndre Johnson James H. Lambert Dept. of Systems and Information Engineering University of Virginia Johnson & Johnson Medtech Dept. of Radiology Nuclear Medicine and Molecular Imaging Heart and Diabetes Center North-Rhine Westphalia Ruhr University of Bochum School of Data Science University of Virginia Dept. of Systems and Information Engineering School of Data Science University of Virginia Dept. of Systems and Information Engineering University of Virginia

AI technologies have made significant advancements across various sectors, especially healthcare. Although AI algorithms in healthcare showcase remarkable predictive capabilities, apprehensions have emerged owing to errors, biases, and a lack of transparency. These concerns have led to a decline in trust among clinicians and patients, while also posing the risk of further accentuating pre-existing biases against marginalized groups and exacerbating inequities. This paper presents a scenario-based preferences risk register 1 1 Denotes a methodically arranged document or database detailing potential risks linked to particular scenarios or situations. framework for identifying and accounting AI algorithm biases in diagnosing diseases. The framework is demonstrated with a realistic case study on cardiac sarcoidosis. The framework identifies success criteria, initiatives, emergent conditions and the most and least disruptive scenarios. The success criteria align with the National Institute of Standards and Technology AI Risk Management Framework (NIST AI RMF) trustworthy AI characteristics, and the scenarios are based on various statistical/computational bias that causes algorithmic bias. The framework provides valuable guidance for leveraging AI in healthcare, enhancing objective designs, and mitigating risks by adopting a figure of merit to score the initiatives and measuring the disruptive order. By prioritizing transparency, trustworthy AI, and identifying the most and least disruptive scenarios/biases, the framework promotes responsible and effective use of AI technologies in healthcare.

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Analyzing the Engagement of Social Relationships During Life Event Shocks in Social Media

arXiv

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arXiv 2023年

作者： Choi, Minje Jurgens, David Romero, Daniel M. School of Information University of Michigan United States Computer Science and Engineering Division University of Michigan United States Center for the Study of Complex Systems University of Michigan United States

Individuals experiencing unexpected distressing events, shocks, often rely on their social network for support. While prior work has shown how social networks respond to shocks, these studies usually treat all ties equally, despite differences in the support provided by different social relationships. Here, we conduct a computational analysis on Twitter that examines how responses to online shocks differ by the relationship type of a user dyad. We introduce a new dataset of over 13K instances of individuals’ self-reporting shock events on Twitter and construct networks of relationship-labeled dyadic interactions around these events. By examining behaviors across 110K replies to shocked users in a pseudo-causal analysis, we demonstrate relationship-specific patterns in response levels and topic shifts. We also show that while well-established social dimensions of closeness such as tie strength and structural embeddedness contribute to shock responsiveness, the degree of impact is highly dependent on relationship and shock types. Our findings indicate that social relationships contain highly distinctive characteristics in network interactions and that relationship-specific behaviors in online shock responses are unique from those of offline settings. © 2023, CC BY.

关键词： Social networking (online)

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Dynamic colormap visualization integrated with Harris hawks optimization for enhanced lung CT segmentation and diagnostic precision

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Cluster Computing 2025年第6期28卷 1-22页

作者： Drogham, Osama Ryalat, Mohammad H. Al-Najdawi, Nijad Alkhawaldeh, Rami S. AlShaqsi, Jamil Al-Betar, Mohammed Azmi Prince Abdullah bin Ghazi Faculty of Information and Communication Technology Al-Balqa Applied University Al-Salt Jordan College of Computer and Information Science Prince Sultan University Riyadh Saudi Arabia Department of Computer Information Systems The University of Jordan Aqaba Jordan Information Systems Department Sultan Qaboos University Muscat Oman Artificial Intelligence Research Center (AIRC) College of Engineering and Information Technology Ajman University Ajman United Arab Emirates

This study presents a novel method that utilizes Harris Hawks Optimization combined with dynamic colormap visualization to enhance the quality of lung CT scan segmentation. The Harris hawks optimization algorithm is a swarm-based method used to enhance multi-level thresholding for image segmentation, hence facilitating the identification of regions of interest (ROIs) in medical images. An analysis of different colormap schemes including Accent, Gray, Hot, Inferno and Jet, was conducted to improve the visualization of segmented images. The experimental results show the efficiency of the HHO algorithm from the segmentation accuracy perspective as compared to the conventional optimization techniques using publicly available datasets from the Cancer Imaging Archive. In particular, the average SSIM was above 98% while the Jaccard Index was more than 90%. The expert evaluation confirms earlier findings that using the HHO algorithm with the Inferno colormap, particularly with four or five thresholds, achieves optimal image clarity and diagnostic value for clinical purposes. In addition, the method provides a promising way to enhance diagnostic precision and treatment strategies for lung diseases, making it highly valuable for pulmonary healthcare, particularly in urgent scenarios such as pandemics.

关键词： Image segmentation

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Field Effect Transistor Gas Sensors Based on Mechanically Exfoliated Van der Waals Materials

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ACS Applied Materials and Interfaces 2023年第13期15卷 17335-17343页

作者： Zhao, Yue Wu, Gang Hung, Kuan-Ming Cho, Jiung Choi, Miri Ó Coileáin, Cormac Duesberg, Georg S. Ren, Xiang-Kui Chang, Ching-Ray Wu, Han-Chun School of Physics Beijing Institute of Technology Beijing100081 China Department of Electronics Engineering National Kaohsiung University of Science and Technology Kaohsiung807 Taiwan Western Seoul Center Korea Basic Science Institute Seoul03579 Korea Republic of Chuncheon Center Korea Basic Science Institute Chuncheon24341 Korea Republic of and Center for Integrated Sensor Systems University of the Bundeswehr Munich Neubiberg85577 Germany School of Chemical Engineering and Technology Tianjin University Tianjin300072 China Quantum Information Center Chung Yuan Christian University Taoyuan32023 Taiwan Department of Physics National Taiwan University Taipei106 Taiwan

The high surface-to-volume ratio and flatness of mechanically exfoliated van der Waals (vdW) layered materials make them an ideal platform to investigate the Langmuir absorption model. In this work, we fabricated field effect transistor gas sensors, based on a variety of mechanically exfoliated vdW materials, and investigated their electrical field-dependent gas sensing properties. The good agreement between the experimentally extracted intrinsic parameters, such as equilibrium constant and adsorption energy, and theoretically predicted values suggests validity of the Langmuir absorption model for vdW materials. Moreover, we show that the device sensing behavior depends crucially on the availability of carriers, and giant sensitivities and strong selectivity can be achieved at the sensitivity singularity. Finally, we demonstrate that such features provide a fingerprint for different gases to quickly detect and differentiate between low concentrations of mixed hazardous gases using sensor arrays. © 2023 American Chemical Society.

关键词： Chemical sensors

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Oscillation Trajectory Optimization and Control Method for Two-Link Underactuated Manipulators 42

Oscillation Trajectory Optimization and Control Method for T...

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42nd Chinese Control Conference, CCC 2023

作者： Wang, Lejun Wang, Huiming Tang, Xianlun Huang, Zixin Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China Hubei Key Laboratory of Digital Textile Equipment Wuhan Textile University Wuhan430200 China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China

ISBN: (纸本)9789887581543

This paper provides an oscillation trajectory optimization and control method for two-link underactuated manipulators (UMs) in a vertical plane. The proposed method solves the problem that the UMs cannot always enter the balance region in the partitioning method. First, we establish the system dynamic model, and analyze the system couple characteristics. Then, we program an oscillation trajectory for the active link, and use the intelligent method to obtain the trajectory parameters, so ensuring the system can reach the area adjacent to the target position through tracking control. Next, we design the controller to realize the stable control at the target position. Finally, the simulation results show the effectiveness and generality of the control strategy. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Trajectories

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Polarization modulation with optical lock-in detection reveals universal fluorescence anisotropy of subcellular structures in live cells

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Light(Science & Applications) 2022年第1期11卷 50-62页

作者： Meiling Guan Miaoyan Wang Karl Zhanghao Xu Zhang Meiqi Li Wenhui Liu Jing Niu Xusan Yang Long Chen Zhenli Jing Micheal Q.Zhang Dayong Jin Peng Xi Juntao Gao Department of Biomedical Engineering College of Future TechnologyPeking UniversityBeijing 100871China UTS-SUStech Joint Research Centre for Biomedical Materials&Devices Department of Biomedical EngineeringCollege of EngineeringSouthern University of Science and TechnologyShenzhenGuangdongChina MOE Key Laboratory of Bioinformatics Bioinformatics DivisionCenter for Synthetic&Systems BiologyBNRistBeijingChina Center for Synthetic&Systems Biology Department of AutomationTsinghua UniversityBeijing 100084China Beijing Institute of Collaborative Innovation Beijing 100094China Department of Biological Sciences and Center for System Biology The University of Texas at DallasRichardson 75080USA School of Medical Sciences Tsinghua UniversityBeijing 100084China Institute for Biomedical Materials and Devices(IBMD) Faculty of ScienceUniversity of Technology SydneySydneyNSW 2007Australia National Biomedical Imaging Center Peking UniversityBeijing 100871China

The orientation of fluorophores can reveal crucial information about the structure and dynamics of their associated subcellular *** significant progress in super-resolution,fluorescence polarization microscopy remains limited to unique samples with relatively strong polarization modulation and not applicable to the weak polarization signals in samples due to the excessive background *** we apply optical lock-in detection to amplify the weak polarization modulation with *** novel technique,termed optical lock-in detection super-resolution dipole orientation mapping(OLID-SDOM),could achieve a maximum of 100 frames per second and rapid extraction of 2D orientation,and distinguish distance up to 50 nm,making it suitable for monitoring structural dynamics concerning orientation changes in ***-SDOM was employed to explore the universal anisotropy of a large variety of GFP-tagged subcellular organelles,including mitochondria,lysosome,Golgi,endosome,*** found that OUF(Orientation Uniformity Factor)of OLID-SDOM can be specific for different subcellular organelles,indicating that the anisotropy was related to the function of the organelles,and OUF can potentially be an indicator to distinguish normal and abnormal cells(even cancer cells).Furthermore,dual-color super-resolution OLID-SDOM imaging of lysosomes and actins demonstrates its potential in studying dynamic molecular *** subtle anisotropy changes of expanding and shrinking dendritic spines in live neurons were observed with real-time *** previously unobservable fluorescence anisotropy in various samples and indicating their underlying dynamic molecular structural changes,OLID-SDOM expands the toolkit for live cell research.

关键词： anisotropy Polarization concerning

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Parallel Bounded Search for the Maximum Clique Problem

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Journal of Computer Science & Technology 2023年第5期38卷 1187-1202页

作者：江华白珂刘海姣李初民 Felip Manya 付樟华 Engineering Research Center of Cyberspace Yunnan UniversityKunming 650500China School of Software Yunnan UniversityKunming 650500China Laboratory of Modeling Information and SystemsUniversity of Picardie Jules VerneAmiens 80039France Artificial Intelligence Research Institute Spanish National Research CouncilCatalonia 08193Spain Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen 518000China Institute of Robotics and Intelligent Manufacturing Chinese University of Hong KongShenzhen 518000China

Given an undirected graph,the Maximum Clique Problem(MCP)is to find a largest complete subgraph of the *** is NP-hard and has found many practical *** this paper,we propose a parallel Branch-and-Bound(BnB)algorithm to tackle this NP-hard problem,which carries out multiple bounded searches in *** search has its upper bound and shares a lower bound with the rest of the *** potential benefit of the proposed approach is that an active search terminates as soon as the best lower bound found so far reaches or exceeds its upper *** describe the implementation of our highly scalable and efficient parallel MCP algorithm,called PBS,which is based on a state-of-the-art sequential MCP *** proposed algorithm PBS is evaluated on hard DIMACS and BHOSLIB *** results show that PBS achieves a near-linear speedup on most DIMACS instances and a superlinear speedup on most BHOSLIB ***,we give a detailed analysis that explains the good speedups achieved for the tested instances.

关键词： Branch-and-Bound(BnB) maximum clique problem(MCP) parallel search

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3D bioprinted organ-on-chips

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Aggregate 2023年第1期4卷 1-26页

作者： Sajjad Rahmani Dabbagh Misagh Rezapour Sarabi Mehmet Tugrul Birtek Nur Mustafaoglu Yu Shrike Zhang Savas Tasoglu Department of Mechanical Engineering Koc UniversitySariyerIstanbulTurkey Koc University Arçelik Research Center for Creative Industries(KUAR) Koc UniversitySariyerIstanbulTurkey Koc University Is Bank Artificial Intelligence Lab(KUIS AILab) Koc UniversitySariyerIstanbulTurkey Faculty of Engineering and Natural Sciences Sabanci UniversityTuzlaIstanbulTurkey Division of Engineering in Medicine Department of MedicineBrigham and Women’s HospitalHarvard Medical SchoolCambridgeMassachusettsUSA Physical Intelligence Department Max Planck Institute for Intelligent SystemsStuttgartGermany

Organ-on-a-chip(OOC)platforms recapitulate human in vivo-like conditions more realistically compared to many animal models and conventional two-dimensional cell *** setups benefit from continuous perfusion of cell cultures through microfluidic channels,which promotes cell viability and ***,microfluidic chips allow the integration of biosensors for real-time monitoring and analysis of cell interactions and responses to administered ***-dimensional(3D)bioprinting enables the fabrication of multicell OOC platforms with sophis-ticated 3D structures that more closely mimic human tissues.3D-bioprinted OOC platforms are promising tools for understanding the functions of organs,disruptive influences of diseases on organ functionality,and screening the efficacy as well as toxicity of drugs on ***,common 3D bioprinting techniques,advantages,and limitations of each method are ***,recent advances,applica-tions,and potentials of 3D-bioprinted OOC platforms for emulating various human organs are ***,current challenges and future perspectives of OOC plat-forms are discussed.

关键词： biomaterials bioprinting disease-on-a-chip microfluidics organ-on-a-chip

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3D Printed Wideband Multilayered Dual-Polarized Stacked Patch Antenna with Integrated MMIC Switch

IEEE Open Journal of Antennas and Propagation

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IEEE Open Journal of Antennas and Propagation 2021年 2卷 38-48页

作者： Kacar, Merve Weller, Thomas M. Mumcu, Gokhan Center for Wireless and Microwave Information Systems University of South Florida TampaFL United States School of Electrical Engineering and Computer Science Oregon State University CorvallisOR United States

Capability of 3D printing for developing wideband multilayered antenna systems packaged with active RF circuit components remains relatively unexplored. To address this gap, this manuscript demonstrates wideband patch antenna that is integrated with a polarization selection switch. Antenna bandwidth is enhanced with customized substrate thicknesses and stacked patch layers. Switch is integrated with 3D vertical transitions to achieve wide bandwidth, smaller packaging, and low-loss. To enable future antenna array applications, a detailed investigation is also presented to maximize the performance of the microstrip feed lines by adjusting the substrate thickness and deposition process. The antenna consists of 13 dielectric and conductive layers. Specifically, the manuscript demonstrates the lowest attenuation in the literature for a fully printed microstrip line with 0.25 dB/cm measured loss at 18 GHz. The antenna operates with more than 80% radiation efficiency and 45% bandwidth. The polarization switch is embedded within the antenna structure. The antenna retains a high cross-polarization ratio of 20 dB due to 3D feed line transitions and symmetric location of the switch with respect to the antenna feeds. © 2020 IEEE.

关键词： Microstrip antennas

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The Effect of Different Classifiers on Recursive Cluster Elimination in the Analysis of Transcriptomic Data

The Effect of Different Classifiers on Recursive Cluster Eli...

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2023 Innovations in Intelligent systems and Applications Conference, ASYU 2023

作者： Bulut, Nurten Bakir-Gungor, Burcu Qaqish, Bahjat F. Yousef, Malik Abdullah Gul University Department of Computer Engineering Kayseri Turkey University of North Carolina at Chapel Hill Department of Biostatistics Chapel HillNC United States Galilee Digital Health Research Center Zefat Academic College Department of Information Systems Zefat Israel

ISBN: (纸本)9798350306590

Gene expression data with limited sample size and a large number of genes are frequently encountered in genetic studies. In such high-dimensional data, identification of genes that distinguish between disease states is a challenging task. Feature selection (FS) is a useful approach in dealing with high dimensionality. Support Vector Machines Recursive Cluster Elimination (SVM-RCE) is a technique for FS in high-dimensional data. The SVM-RCE approach has been utilized for identification of clusters of genes whose expression levels correlate with pathological state. A key step in SVM-RCE is the use of an SVM classifier to assign an area under the curve (AUC) score to each gene cluster based on its ability to predict class labels. In this study, we investigate the use of alternative classifiers in the cluster-scoring step. Specifically, we compare Support Vector Machines, Random Forest, XgBoost, Naive Bayes, and linear logistic regression. In addition to AUC score performance evaluation, the algorithms are compared in terms of the number of selected genes at different levels of clustering and in terms of the running time. © 2023 IEEE.

关键词： Support vector machines

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