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23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019

作者： Chi, Pei-Yin Chuang, Ting-Wei Chu, Tzu-Tsai Kuo, Chia-Tzu Wu, Yu-Ting Farmehini, Vahid Shieh, Dar-Bin Tseng, Fan-Gang Wei, Yau-Huei Swami, Nathan Chou, Chia-Fu Nano Science and Technology Program TIGP Academia Sinica Taipei Taiwan Institute of Physics Academia Sinica Taipei Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu Taiwan Center for Mitochondrial Medicine Free Radical Research Changhua Christian Hospital Changhua Taiwan Department of Electrical and Computer Engineering University of Virginia Charlottesville United States Institute of Oral Medicine School of Medicine National Cheng-Kung University Tainan Taiwan

ISBN: (纸本)9781733419000

It is imperative to develop tools to characterize cells with the diseased and normal mitochondria to monitor the healthiness of cells and take preventive measures for potential mitochondrial disease development. Here, we adopt insulator dielectrophoresis (i-DEP), by utilizing the intrinsic dielectric response of a cell to an external AC electric field to differentiate cells, containing partially diseased and normal mitochondria. Taking advantage of dielectrophoresis, DEP, principle, we developed a quick diagnostic method to detect mitochondrial disease in living cells, which is not readily achievable by conventional cell cytometry. © 2019 CBMS-0001.

关键词： Electrophoresis

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Megapixel digital PCR

Megapixel digital PCR

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15th International Conference on Miniaturized Systems for Chemistry and Life Sciences 2011, MicroTAS 2011

作者： Heyries, Kevin A. Tropini, Carolina VanInsberghe, Michael Doolin, Callum Petriv, Oleh I. Singhal, Anupam Leung, Kaston Hugesman, Curtis B. Hansen, Carl L. Centre for High-Throughput Biology University of British Columbia Vancouver BC Canada Department of Physics and Astronomy University of British Columbia Vancouver BC Canada Department of Chemical and Biological Engineering University of British Columbia Vancouver BC Canada Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada Michael Smith Laboratories University of British Columbia Vancouver BC Canada Biophysics Program Stanford University Stanford CA United States

ISBN: (纸本)9781618395955

We report a microfluidic 'megapixel' digital polymerase chain reaction (PCR) device that uses a surface tension-based sample partitioning approach along with integrated dehydration control to enable high-fidelity single DNA molecule amplification in 1,000,000 reactors of picoliter volume, in arrays with densities up to 440,000 reactors cm-2. This device achieves a dynamic range of 107, single-nucleotide-variant detection below one copy per 100,000 wild-type sequences, and the discrimination of a 1% difference in chromosome copy number. Copyright © (2011) by the Chemical and Biological Microsystems Society.

关键词： Genome

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Clustering Analysis of a Spatiotemporal Dataset with a Novel Kernel Density Estimator

Clustering Analysis of a Spatiotemporal Dataset with a Novel...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jen-Chien Yu Chun-Chieh Yang John Reuben Gilbert Rou-Jun Liu Yen-Jen Oyang Meng-Han Yang Department of Computer Science and Information Engineering National Kaohsiung University of Science and Technology Kaohsiung City Taiwan ROC Master Program in Statistics National Taiwan University Taipei Taiwan ROC Department of Computer Science & Information Engineering National Taiwan University Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University

A vast number of spatiotemporal datasets collected from a wide range of sources has motivated scientists to develop effective approaches to identify interesting patterns hidden in these datasets. In this respect, kernel density estimators, which belong to a class of non-parametric estimators in statistics, have been widely exploited in recent years. With this background, we have developed a novel kernel density estimator aiming to provide accurate analysis results. According to the evaluation with a real spatiotemporal dataset, which collected emergency medical service records in a county in the United States, the proposed kernel density estimator can approximate the probability density function significantly more accurately than a conventional kernel density estimator. Furthermore, we have exploited the proposed kernel density estimator to identify interesting patterns hidden in the real spatiotemporal dataset.

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Structural and performance comparison between SU-8 microfabricated and 3D-printed microneedle electrodes

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Journal of 3D Printing in Medicine 2020年第1期4卷 29-44页

作者： Soltanzadeh, Ramin Afsharipour, Elnaz Anssari, Neda Mansouri, Behzad Shafai, Cyrus Biomedical Graduate Studies Program University of Manitoba Winnipeg R3T 5V6 MB Canada Electrical and Computer Engineering Department University of Manitoba Winnipeg R3T 5V6 MB Canada Department of Internal Medicine (Neurology) University of Manitoba Winnipeg R3A 1R9 MB Canada

Aim: This study is aimed to compare the structure and performance of 3D-printed and microfabricated microneedle arrays (MNAs). Materials & methods: MNAs were produced using either stereolithography printing or were micro-fabricated using SU-8 polymer. The structure of both MNA types were tested and compared through scanning electron microscopy. MNA performance was also evaluated through electrical impedence spectroscopy and nerve conduction velocity testing. Results & conclusion: The 3D-printed MNAs were shown to have higher gain than microfabricated MNAs at high frequencies. However, the selectivity of the microfabricated MNAs is more than 3D-printed MNAs. Scanning electron microscopy image comparison also showed significant differences between the output of the 3D-printed MNAs and the microfabricated MNAs. It was understood that the microfabricated MNAs' geometries are closer to the primary design than the 3D-printed MNAs. © 2020 Future Medicine Ltd.

关键词： 3D printing microfabrication microneedle array performance difference strucutral difference

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Differential Evolution and Nelder-mead for Constrained Non-linear Integer Optimization Problems

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Procedia computer Science 2015年 55卷 668-677页

作者： Felipe Luchi Renato A. Krohling Graduate Program in Science Computer PPGI UFES - Federal University of Esṕırito Santo Av. Fernando Ferrari 514 CEP 29075-910 Vitória Esṕırito Santo ES Brazil Departament of Production Engineering & Graduate Program in Computer Science PPGI UFES - Federal University of Esṕırito Santo Av. Fernando Ferrari 514 CEP 29075-910 Vitória Esṕırito Santo ES Brazil

We present a novel approach to solve constrained non-linear integer optimization problems based on Differential Evolution (DE) and Nelder-Mead (NM). DE is a promising technique used in non-differentiable and non-linear problems with continuous variables. It is used to identify promising regions in the search space. NM is a derivative-free technique used in non-linear continuous optimization problems. Since we are concerned with integer problems, then the NM is extended to handle with integer optimization problems. The constraints are treated by the Alpha Constrained method, where constraints values and fitness are compared using a lexicographical order. Since DE is used to continuous optimization and NM needs an initial starting point, we propose a method that use the best individual of DE as starting point to NM. Simulation results show the effectiveness of the proposed method.

关键词： Constrained non-linear integer optimization Differential Evolution Nelder-Mead Alpha Constraint method

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A VLSI Architecture for Separable 2-D Discrete Wavelet Transform

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Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 1998年第2期18卷 125-140页

作者： Limqueco, Jimmy C. Bayoumi, Magdy A. Center for Advanced Computer Studies University of Southwestern Louisiana Lafayette LA 70504 United States University of Southwestern Louisiana United States De La Salle University Philippines Department of Computer Engineering Center for Advanced Computer Studies University of Southwestern Louisiana United States Cairo University Egypt Washington University St. Louis MO United States University of Windsor Canada VLSI Syst. and Applic. Tech. Comm. Neural Network TC Multimedia Technical Committee Technical Program Committee ISCAS MWSCAS Steering Committee ASSP Tech. Comm. on VLSI Processing CS Tech. Committee on VLSI Design Tech. Comm. IEEE VLSI Sign. Proc. W. IEEE Computer Society

In this paper, an efficient semi-systolic array architecture for separable 2-D Discrete Wavelet Transform (DWT) is introduced. The semi-systolic array is applicable to any convolution that requires an arbitrary subsampling function. The semi-systolic array presents a better implementation of the convolution function of DWT. This kind of implementation offers a higher efficiency compared to regular systolic implementation when applied for 2-D DWT. The architecture has an efficiency of at least 91% which increases proportional to the number of octaves with no change in the architecture design except for minor modifications to the control logic and memory size. The propose architecture is scalable for different size of filter and different number of octave. The communication routing is minimum since data transfers are limited to immediate neighboring processors. The components of the architecture are fairly regular and consist of minimum number of computational units which makes it a good candidate for VLSI implementation.

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Technologies for continuous glucose monitoring: Current problems and future promises

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Journal of Diabetes Science and Technology 2010年第6期4卷 1540-1562页

作者： Vaddiraju, Santhisagar Burgess, Diane J. Tomazos, Ioannis Jain, Faquir C. Papadimitrakopoulos, Fotios Nanomaterials Optoelectronics Laboratory Institute of Materials Science University of Connecticut Storrs CT United States Biorasis Inc. Technology Incubation Program University of Connecticut Storrs CT United States Department of Pharmaceutical Sciences University of Connecticut Storrs CT United States Electrical and Computer Engineering University of Connecticut Storrs CT United States Department of Chemistry University of Connecticut Storrs CT United States

Devices for continuous glucose monitoring (CGM) are currently a major focus of research in the area of diabetes management. It is envisioned that such devices will have the ability to alert a diabetes patient (or the parent or medical care giver of a diabetes patient) of impending hypoglycemic/ hyperglycemic events and thereby enable the patient to avoid extreme hypoglycemic/hyperglycemic excursions as well as minimize deviations outside the normal glucose range, thus preventing both life-threatening events and the debilitating complications associated with diabetes. It is anticipated that CGM devices will utilize constant feedback of analytical information from a glucose sensor to activate an insulin delivery pump, thereby ultimately realizing the concept of an artificial pancreas. Depending on whether the CGM device penetrates/breaks the skin and/or the sample is measured extracorporeally, these devices can be categorized as totally invasive, minimally invasive, and noninvasive. In addition, CGM devices are further classified according to the transduction mechanisms used for glucose sensing (i.e., electrochemical, optical, and piezoelectric). However, at present, most of these technologies are plagued by a variety of issues that affect their accuracy and long-term performance. This article presents a critical comparison of existing CGM technologies, highlighting critical issues of device accuracy, foreign body response, calibration, and miniaturization. An outlook on future developments with an emphasis on long-term reliability and performance is also presented. © Diabetes Technology Society.

关键词： Accuracy Calibration Continuous glucose monitoring Glucose detection Glucose sensors Invasiveness

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A BCLC Staging System for Hepatocellular Carcinoma using Swin Transformer and CT Imaging 46

A BCLC Staging System for Hepatocellular Carcinoma using Swi...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Chang, Shun-Cheng Wang, Pochuang Wang, Weichung Su, Tung-Hung Kao, Jia-Horng Lin, Che Taipei10617 Taiwan Department of Computer Science and Information Engineering Ntu Taipei10617 Taiwan Institute of Applied Mathematical Sciences Ntu Taipei10617 Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine National Taiwan University Hospital Taipei10048 Taiwan Department of Electrical Engineering Ntu Taipei10617 Taiwan Center for Advanced Computing and Imaging in Biomedicine Ntu Taipei10617 Taiwan Smart Medicine and Health Informatics Program Ntu Taipei10617 Taiwan

ISBN: (纸本)9798350371499

The Barcelona Clinic Liver Cancer (BCLC) staging system plays a crucial role in clinical planning, offering valuable insights for effectively managing hepatocellular carcinoma. Accurate prediction of BCLC stages can significantly ease the workload on radiologists. However, few datasets are explicitly designed for discerning BCLC stages. Despite the common practice of appending BCLC labels to clinical data within datasets, the inherent imbalance in BCLC distribution is further amplified by the diverse purposes for which datasets are curated. In this study, we aim to develop a BCLC staging system using the advanced Swin Transformer model. Additionally, we explore the integration of two datasets, each originally intended for separate objectives, highlighting the critical challenge of preserving class distribution in practical study designs. This exploration is pivotal for ensuring the applicability of our developed staging system in the designed clinical settings. Our resulting BCLC staging system demonstrates an accuracy of 55.81% (±7.8%), contributing to advancing medical image-based research for predicting BCLC stages. © 2024 IEEE.

关键词： Distribution transformers

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Infornation Modeling and Analysis of Event Related Potentials

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IEEE Transactions on Biomedical engineering 1987年第12期BME-34卷 928-937页

作者： William J. Williams Howard Shevrin Robert E. Marshall Electrical Engineering and Computer Science Department and the Bioengineering Program University of Michigan Ann Arbor MI USA Department of Psychiatry and Psychology University of Michigan Ann Arbor MI USA Department of Neurology University of Michigan Ann Arbor MI USA

An approach to the analysis of event related potentials (ERP) based on information theory is described. The amount of information in cortical potentials evoked by words briefly presented by tachistoscope is measured by a transinformation method. The inputs to the communication channel are four word categories. One category is composed of pleasant words, another of unpleasant words, both drawn from the Osgood semantic differential research, and two categories are composed of word stimuli related to a psychiatric patient's complaints. The patients chosen for study exhibit either phobias or pathological grief reactions. The method allows ERP's to be mapped into transinformation profiles that reveal time intervals during the poststimulus ERP favorable to the transmission of information concerning the word category presented. The transinformation model results for actual and synthetic data are discussed.

关键词： Enterprise resource planning Mutual information Psychology Voltage Information analysis Information theory Communication channels Pathology Biomedical engineering Psychiatry

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Observing Generator Performance by Finite Element Analysis Considering Coil Numbers

Observing Generator Performance by Finite Element Analysis C...

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Technology and Policy in Energy and Electric Power (ICT-PEP), International Conference on

作者： Muhammad Afnan Habibi Mochamad Farhan Ali Irfani Langlang Gumilar Arya Kusumawardana Aripriharta Angger Baskoro Study Program of Power Plant Engineering Technology Universitas Negeri Malang Malang Indonesia Department of Electrical Engineering and Informatics Universitas Negeri Malang Malang Indonesia Dept. Electrical Engineering and Computer Sciences National Yang Ming Chiao Tung University Hsinchu Taiwan

This paper conducts a comprehensive analysis of electrical generator performance using Finite Element Analysis (FEA), with a specific emphasis on the role of coil numbers in influencing generator efficiency and functionality. In the context of modern energy systems, where efficient power generation is paramount, this research aims to elucidate the relationship between the number of coils within a generator and its overall performance, including power output and electromagnetic behavior. Through systematic FEA simulations that vary coil numbers while keeping other parameters constant, this study provides valuable insights into the trade-offs associated with increased coil numbers and enhanced efficiency. These findings have significant implications for optimizing generator designs across various applications, from renewable energy systems to industrial power generation, ultimately advancing our understanding of generator dynamics and contributing to more sustainable and efficient power generation technologies.

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