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Improving the Concentration of Students With Attention deficit Hyperactivity disorder and Autism Spectrum disorder: Electroencephalographic Analysis on the Effect of Learning Activity Interventions

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International Journal of Intelligent Technologies & Applied Statistics 2020年第1期13卷 49-63页

作者： Ming-Hseuh Tsai Sy-Ruen Huang Shao-Chin Chang Yu-Ling Lo Yun-Chieh Lu Research Center for Education Systems and Policy National Academy f or Educational Research New Taipei City Taiwan Chung Chou University of Science and Technology Changhua County Taiwan Ph.D. Program of Electrical and Communications Engineering Feng-Chia University Taichung City Taiwan Department of Early Childhood Education Asia University Taichung City Taiwan

This study examined whether the learning concentration of students with attention deficit hyperactivity disorder (AdHd) or autism spectrum disorder (ASd) can be improved through participation in one-on-one learning activities. A total of 13 students with AdHd or ASd were recruited to participate in various weekly one-on-one learning activities, in an effort to improve the concentration of students with special needs. Brainwave data were collected through electroencephalography and analyzed to explore students' concentration performance in different learning activities. To achieve the objective of this study, a multi-baseline design (ABAB), a type of single-subject design method, was employed. The experiment spanned 21 weeks, covering a fall and a spring semester: the first three weeks were defined as the 1st baseline phase, the 4th to 10th weeks as the 1st experimental phase, the 11th to 13th weeks as the 2nd baseline phase, and the 14th to 21th weeks as the 2nd experimental phase. The learning activities took place in the morning self-study period once a week, and the experiment was only suspended during two of the weeks because of school events. The purpose of the two baseline phases was to collect students' brainwave data. Students' brainwaves were measured for two minutes under two scenarios; first, while they were relaxed with eyes looking straight ahead; second, they were reading a passage. The purpose of the two experimental phases was to gradually enhance students' concentration by training them to perceive their own emotions through brainwave lamps. Initial results yielded different brainwave data for students with different types of disorders. After participating in the training on learning concentration, some students demonstrated improved concentration; however, after the 2nd experimental phase, students' concentration declined. The reason was that the activities in both experimental phases were identical, and thus, they no longer provoked students' inte

关键词： Attention def icit hyperactivity disorder (AdHd) Autism spectrum disorder (ASd) Brainwave test Concentration

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development of Epoxy/BN Composites with High Thermal Conductivity for Metal-Core Printed Circuit Board(MCPCB)

Development of Epoxy/BN Composites with High Thermal Conduct...

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2015 International Conference on Intelligent Materials and Manufacturing Engineering (IMME 2015)

作者： Jae Hyun Choi Bong Goo Choi Min A Lee Jae-Sik Na Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite MaterialsFeng Chia University School of Chinese Medicine “China Medical University” Department of Fashion Design Asia University Department of Ph.D Program in Civil and Hydraulic Engineering Feng Chia University Department of Land Management Feng Chia University The Department of Textile Engineering “Chinese Culture University” Institute of Biomedical Engineering and Materials Science “Central Taiwan University of Science and Technology”

The epoxy composites with high thermal conductivity for metal-core printed circuit board(MCPCB) can be prepared by varnish coating and a hot press method. Alumina filler of plate-like shape was used as primary micro-filler, while plate-like alumina filler, h-BN, a-BN and s-BN filler were used for blending into the plate-like alumina filler as the secondary filler. Results showed that the secondary fillers a-BN and s-BN loaded epoxy composites have higher thermal conductivity than alumina filler single-loaded composites. Also, BN filler has high thermal conductivity, but h-BN filled epoxy composite has lower thermal conductivity than alumina filled epoxy composite. The decrease of voids in epoxy composite are very important, and the filler shape and surface modification is also necessary to achieve high thermal conductivity in epoxy composite for MCPCB

关键词： MCPCB Epoxy composite Boron nitride Thermal conductivity Thermal diffusivity

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physical Properties of Geotextiles Reinforced by Recycled Kevlar Selvages

Physical Properties of Geotextiles Reinforced by Recycled Ke...

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2015 International Conference on Intelligent Materials and Manufacturing Engineering (IMME 2015)

作者： Hee Jung Moon Bong Soo Lee Seung Hyun Cho Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite MaterialsFeng Chia University School of Chinese Medicine "China Medical University" Department of Fashion Design Asia University Department of Ph.D Program in Civil and Hydraulic Engineering Feng Chia University Department of Land Management Feng Chia University The Department of Textile Engineering "Chinese Culture University" Institute of Biomedical Engineering and Materials Science "Central Taiwan University of Science and Technology"

Kevlar fiber are artifical fibers that have been globally commonly used due to their attributes of a high modulus, a low elongation, an impact resistance, a chemical resistance, and thermostability. Therefore, this study proposes nonwoven geotextiles by corporating with recycled Kevlar unidirectoinal selvage with a low production cost, crimped polyester(PET) fibers, and low-melting-point PET(LPET) fibers. The content of LPET fiber is specified as 20 wt%, while the content of Kevlar fiber varies as 0 wt%, 5 wt%, 10 wt%, 15 wt%, and 20 wt%. The optimal tear strength of 195 N occurs with a content of Kevlar fiber being 20 wt%.

关键词： Recycled Kevlar fiber Low-melting-point polyester(PET) fiber Nonwoven Geotextile

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Automated Classification of Medical Images Using Convolutional Neural Networks

Automated Classification of Medical Images Using Convolution...

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International Conference on Computing and Networking Technology (ICCNT)

作者： N. Muthuvairavan Pillai S Manimala Aruna Sri Rongali Anchit Gugnani A Senthil Kumar G. V. Sriramakrishnan Computer Science and Business Systems R.M.D Engineering College Kavarapettai Thiruvallur district Computer science and engineering University SJCE JSS Science and technology University Mysore Karnataka India Department Information Technology Emphasis/Information Technology Ph.D University and city with the country University of The Cumberlands US Physiotherapy Amity University Jaipur Rajasthan Artificial Intelligent department Shri Vishnu Engineering College for Women Bhimavaram AP Department Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai Tamilnadu

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Medical imagery has been increasingly used in diagnosing and treating various diseases, leading to advances in healthcare. While humans usually lead the qualitative interpretation of visual features, Automated Classification of Medical Images Using Convolution Neural Networks (CNNs) has gained traction for accurate image classification. CNNs are a type of deep learning algorithm that attempts to mimic the structure of the human brain and are ideal for image classification due to their convolution layers that can detect patterns within the image. These convolution layers enable the networks to learn the characteristics of the data through a series of convolution and pooling operations. Additionally, they can rapidly identify relationships and patterns within the dataset and extract features from the input image, thus allowing a more accurate classification. With the increasing availability of medical imaging data, advancements in the field of ML/AI has enabled the use of CNNs for automated medical image classification, helping clinicians to diagnose diseases accurately with less time and effort.

关键词： Training Image segmentation Accuracy Convolution Medical services Feature extraction Convolutional neural networks Medical diagnostic imaging X-ray imaging Image classification

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Extraction of c- F os Protein Regions from Mouse Brain Slice Images using Multi-channelization, 1 x 1 Convolution and U -Net

Extraction of c- F os Protein Regions from Mouse Brain Slice...

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International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Ziyue Wang Hibiki Okamura Shijie Luo Yu Hayashi Hotaka Takizawa Master's Program in Computer Science University of Tsukuba Tsukuba Japan Ph.D. Program in Humanics International Institute for Integrative Sleep Medicine University of Tsukuba Tsukuba Japan International Institute for Integrative Sleep Medicine University of Tsukuba Tsukuba Japan Institute of Systems and Information Engineering Academic Computing & Communications Center University of Tsukuba Tsukuba Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

This study proposed a novel extraction method of c-Fos protein regions in dAB(3,3‘-diaminobenzidine)-stained mouse brain slice images using the U-Net model combined with the multi-channelization and $1\times 1$ convolution techniques. Our U-Net m odel, called $1\times 1$ conv U-Net, was applied to three dAB- strainedmouse slice images whose resolutions were $1000\mathrm{x}1000$ pixels. The experimental results demonstrated that the $1\times 1$ conv U-Net outperformed the conventional U-Net.

关键词： Proteins Visualization Image resolution Image analysis Convolution Feature extraction Brain modeling Biology Biomedical imaging

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Empirical testing: The prototyper's evaluation mechanism

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NAVAL ENGINEERS JOURNAL 1997年第1期109卷 41-46页

作者： Hafner, AN Arnold N. Hafner Ph.D.:is founder and president of Information Systems Research (ISR). He has twenty-five years of experience in systems development and is published in the field of systems development management. He served as corporate research scientist at Systems Exploration Inc. from 1988 to 1991 program director at Computer Science Corporation from 1983 to 1988 director of operations at Republic Management Systems Corporation from 1981 to 1983 and program manager at Computer Science Corporation from 1972 to 1981. A 1962 graduate of the US. Naval Academy he holds a doctoral degree in human behavior and engineering degrees in electronics and communications. He has taught courses on information systems and systems management at most of the colleges in the San Diego area. Dr. Hafner has presented fourteen refereed research papers while publishing sixteen articles and a book A Manager's Guide to Software System Development.

Evaluating complex systems is the subject of this paper, the third in a series investigating prototyping. It provides an interesting and helpful overview of how to evaluate systems prototypes and outlines the iterative stream of developer-user interactions that is replacing older approaches to testing and evaluating new military systems, which promise to reduce the time required to develop and field future military capabilities. Changes to the acquisition process, such as those the paper sketches, will facilitate the nation's rapid transit through its current revolution in military affairs.

关键词： systems analysis

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diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG systems Review

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IEEE Journal of Biomedical and Health Informatics 2023年第8期27卷 3830-3843页

作者： He, Congying Chen, Yu-Yi phang, Chun-Ren Stevenson, Cory Chen, I-Ping Jung, Tzyy-Ping Ko, Li-Wei Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Applied Arts National Yang Ming Chiao Tung University Hsinchu30010 Taiwan International Ph.D. Program in Interdisciplinary Neuroscience National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute for Neural Computation and Institute of Engineering in Medicine University of California San DiegoCA90093 United States National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Electrical and Control Engineering Department of Electronics and Electrical Engineering Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Biomedical Science and Environment Biology Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung80708 Taiwan

Wireless electroencephalography (EEG) systems have been attracting increasing attention in recent times. Both the number of articles discussing wireless EEG and their proportion relative to general EEG publications have increased over years. These trends indicate that wireless EEG systems could be more accessible to researchers and the research community has recognized the potential of wireless EEG systems. To explore the development and diverse applications of wireless EEG systems, this review highlights the trends in wearable and wireless EEG systems over the past decade and compares the specifications and research applications of the major wireless systems marketed by 16 companies. For each product, five parameters (number of channels, sampling rate, cost, battery life, and resolution) were assessed for comparison. Currently, these wearable and portable wireless EEG systems have three main application areas: consumer, clinical, and research. To address this multitude of options, the article also discussed the thought process to find a suitable device that meets personalization and use cases specificities. These investigations suggest that low-price and convenience are key factors for consumer applications, wireless EEG systems with FdA or CE-certification may be more suitable for clinical settings, and devices that provide raw EEG data with high-density channels are important for laboratory research. This article presents an overview of the current state of the wireless EEG systems specifications and possible applications and serves as a guide point as it is expected that more influential and novel research will cyclically promote the development of such EEG systems. © 2023 IEEE.

关键词： Electroencephalography

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Significance of intracranial pressure pulse morphology in pediatric traumatc brain injury

Significance of intracranial pressure pulse morphology in pe...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： M. Aboy J. McNames d. Cuesta-Frau W. Wakeland T. Thong S. Lai B. Goldstein Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland OR USA Computer Vision Group ETS-Alcoi Polytechnic University of Valencia Spain Systems Science Ph.D. Program Portland State University Portland OR USA Biomedical Engineering OGI School of Science and Engineering Oregon Health and Sciences University Portland OR USA Complex Systems Laboratory Department of Pediatrics Oregon Health and Sciences University Portland OR USA

We investigated the relationship between the intracranial pulse pressure (ICP/sub PP/) and the mean intracranial pressure (ICP/sub M/). In adult patients, several research groups have described a linear relationship between ICP/sub PP/ and ICP/sub M/ within the range of cerebral autoregulation. Current monitoring and therapy are mainly based on the mean ICP/sub M/, since it is believed that the ICP/sub M/ contains most of the information provided by the other pulse morphology metrics. In this paper we attempt to answer whether there is further information within the ICP morphology not explained by ICP/sub M/ that might be of prognostic significance. We screened ICP records of 42 patients admitted to the Pediatric Intensive Care Unit at doernbecher Children's Hospital for segments in which the ICP/sub M/ varied at least 5 mmHg during a 1-hour period. We found 54 segments in 9 different pediatric TBI patients (ages 0.2-17.8 years, mean=9.9 years). ICP/sub PP/ and ICP/sub M/ were calculated for each pulse using an automatic pressure detection algorithm. The coefficient of linear correlation r was > 0.70 in 43/54 segments (p < 0.001), which indicates that there exists a linear relationship between ICP/sub PP/ and ICP/sub M/. However, we found r > 0.90 only in 16/54 segments (p=NS) . This result and visual inspection of ICP/sub PP/ vs. ICP/sub M/ density plots suggest that ICP pulse pressure is not fully explained by the ICP M.

关键词： Cranial pressure Morphology Brain injuries Iterative closest point algorithm Pediatrics Patient monitoring Medical treatment Hospitals detection algorithms Inspection

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The correlation between nNOS positive small branches of dorsal penis nerve and erectile function in bilateral cavernous nerve crush model of rat

The correlation between nNOS positive small branches of dors...

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GTAUF2014 & APSMHA2014第六届长城泌尿男科转化医学论坛暨第七届亚太男性健康与抗衰老研究学会年会

作者： Yen-Lin Chen Yi-No Wu Chun-Hou Liao Ying-Hung Lin Chien-Chih Wu Han-Sun Chiang Department of Pathology Cardinal Tien Hospital Taiwan China Department of Chemistry Graduate Institute of Basic Medicine Ph.D Program in Nutrition & Food science Fu Jen Catholic UniversityTaiwan China Division of Urology Department of Surgery Cardinal Tien Hospital Taiwan China College of Medicine Fu Jen Catholic University Taiwan China School of Medicine Taipei Medical University Taiwan China Department of Urology Taipei Medical University Hospital Taiwan China

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Application of 3-d nonlinear wave-load and structural-response simulations in naval ship design

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NAVAL ENGINEERS JOURNAL 1997年第3期109卷 253-266页

作者： Engle, A Lin, W Salvesen, N Shin, Y Allen H. Engle:is a naval architect in the Hydrodynamic Division of the Naval Sea Systems /Command (NavSea). He received his B.S. degree in engineering scinece from the State University of New York at Buffalo in 1977 and his M.S. degree in ocean engineering from the Unviersity of Hawaii in 1979. Corrently Mr. Engle is the program director of the Navy's Hydrodynamic Loads Technology Development Program. Mr. Engle is Chairman of SNAME Panel on Hull Loadings (HS-1) and contributing member to the International Ship and Offshore Structures Congress's Committee on Dynamics. Moei-Min Lin:is a senior research scientist at the Ship technology Division of Sciences Applications International Corporation (SAIC). He received his B.S. degree in naval architecture and marine engineering from the National Cheng-Kung University Taiwan in 1977 and his Ph.D. degree in ocean engineering from MIT in 1985. He is an expert in computational ship hydrodynamics. He has been the P.I. for development of the Large Amplitude Motions Program (LAMP) system. Nils Salvesen:is the manager of the Ship Technology Division of the Science Application International Corporation (SAIC).He received his B.S. and Ph.D. degree from the Development Naval Architecture and Marine Engineering of the University of Michigan in 1960 and 1966 respectively. He has more then thirty years of experience in the development of ship motion simulation and wave load prediction methods. More than twenty-five years ago he developed the original strip-theory code on which the Navy's ship motions program (SMP) is based. Yung-Sup Shin:is the principal engineer responsible for the hydrodynamic projects in the Research and Development Department of the American Bureau of Shipping New York. He received a Ph.D. degree in hydrodynamic from the Department of Naval Architecture and Marine Engineering of the University of Michigan. In the past eighteen years at ABS he has been involved in the theortical development and analysis of various marine hydrodynamic problems. In recent year

despite the limits inherent within linearized frequency-domain ship motion and wave load computer codes, strip theory has been found to provide the design community with a fairly robust, practical design tool with reasonable accuracy for most conventional displacement monohulls. However, the advent of new design concepts including multi-hulls and application of new materials as well as the push to incorporate reliability methods within surface ship structural design criteria has highlighted the need for more rigorous methods of developing a lifetime load spectrum. In this paper, a multilevel computation system for predicting ship motions and wave loads, up through and including extreme sea conditions, is presented. This system includes a traditional strip theory approach and newly developed linear and nonlinear three-dimensional time-domain methods. The new nonlinear methods are currently in the process of being validated by the U.S. Navy. The status of the current development is presented. Sample numerical results from the new nonlinear methods are compared with both linear frequency domain predictions and model tests.

关键词： Naval vessels

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