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Organic and Hybrid Sensors and Bioelectronics XIII 2020

作者： debesay, Thomas H. Sun, Sam-Shajing Bahoura, Messaoud Center for Materials Research Norfolk State University 700 Park Avenue NorfolkVA23504 United States Ph.D. Program in Materials Science and Engineering Norfolk State University 700 Park Avenue NorfolkVA23504 United States Department of Chemistry Norfolk State University 700 Park Avenue NorfolkVA23504 United States Engineering Department Norfolk State University 700 Park Avenue NorfolkVA23504 United States

ISBN: (数字)9781510637573

ISBN: (纸本)9781510637566

Field-Effect Transistors (FETs) are the key building blocks in a wide range of electronic applications such as sensors and electrical switches. The emergence of Organic Field-Effect Transistors (OFETs) unveiled special features, which have taken the application of FETs into uncharted territories. These unique features include but are not limited to, low- cost processing, lightweight, mechanical flexibility, biocompatibility, broad material availability, etc. Similar to their inorganic counterparts, doping organic semiconductors (OSC) can significantly alter or improve their electrical and optoelectronic properties, resulting in doping induced OFET multi-functionalities. In this study, the impact of multi-doping on the OFET device performance and functionalities has been systematically investigated and evaluated under varying conditions of light, heat, and gate voltages. The experimental results appear to support the proposed hypothesis behind the multi-functionality of the system under study. The present work will provide valuable scientific insights for the advancement of OFET based sensors, switches, and modulators. © COPYRIGHT SPIE. downloading of the abstract is permitted for personal use only.

关键词： Organic field effect transistors

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Chemoresistance in acute myeloid leukemia: An alternative single-cell RNA sequencing approach

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Hematological oncology 2023年第3期41卷 499-509页

作者： Po-Liang Cheng Tzu-Hung Hsiao Chung-Hsing Chen Miao-Neng Hung Pei-Pei Jhan Li-Wen Lee Ting-Shuan Wu Jia-Rung Tsai Chieh-Lin Jerry Teng Department of Medical Research Taichung Veterans General Hospital Taichung Taiwan. Research Center for Biomedical Science and Engineering National Tsing Hua University Hsinchu Taiwan. Department of Public Health Fu Jen Catholic University New Taipei City Taiwan. Institute of Genomics and Bioinformatics National Chung Hsing University Taichung Taiwan. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan. Division of Hematology/Medical Oncology Department of Medicine Taichung Veterans General Hospital Taichung Taiwan. Department of Life Science Tunghai University Taichung Taiwan. School of Medicine Chung Shan Medical University Taichung Taiwan. Ph.D. Program in Translational Medicine National Chung Hsing University Taichung Taiwan. Rong Hsing Research Center for Translational Medicine National Chung Hsing University Taichung Taiwan.

Our previous study demonstrated that myc, mitochondrial oxidative phosphorylation, mTOR, and stemness are independently responsible for chemoresistance in acute myeloid leukemia (AML) cells. This study aimed to identify potential mechanisms of chemoresistance of the "7 + 3" induction in AML by using a single-cell RNA sequencing (scRNA-seq) approach. In the present study, 13 untreated patients with de novo AML were enrolled and stratified into two groups: complete remission (CR; n = 8) and non-CR (n = 5). Single-cell RNA sequencing was used to analyze genetic profiles of 28,950 AML cells from these patients; results were validated using a previously published bulk RNA-seq dataset. Our study results showed chemoresistant AML cells had premature accumulation during early hematopoiesis. Hematopoietic stem cell-like cells from the non-CR group expressed more leukemic stem cell markers (Cd9, Cd82, IL3RA, and IL1RAP) than those from the CR group. Chemoresistant progenitor cells had impaired myeloid differentiation owing to early arrest of hematopoiesis. Notably, AML cells analyzed by scRNA-seq and bulk RNA-seq harbored a comparable myeloid lineage cell fraction, which internally validated our results. Using the TCGA database, our analysis demonstrated that patients with AML with higher expression of chemoresistant genetic markers (IL3RA and IL1RAP) had a worse overall survival (p < 0.01 for IL3RA; p < 0.05 for IL1RAP). In conclusion, AML cells responsive and resistant to the "7 + 3" induction were derived from a diverse cancerous hematopoietic stem cell population, as indicated by the specific genetic biomarkers obtained using scRNA-seq approach. Furthermore, arrest of hematopoiesis was shown to occur earlier in chemoresistant AML cells, furthering the current understanding of chemoresistance in AML.

关键词： acute myeloid leukemia chemoresistance leukemia stem cells single-cell RNA-seq

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deep Positional Attention-based Bidirectional RNN with 3d Convolutional Video descriptors for Human Action Recognition

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IOP Conference Series: Materials science and Engineering 2021年第1期1022卷

作者： N Srilakshmi N Radha Ph.D. Scholar Department of Computer Science PSGR Krishnammal College for Women Coimbatore Tamilnadu India Associate Professor Department of Computer Science PSGR Krishnammal College for Women Coimbatore Tamilnadu India

This article presents the Joints and Trajectory-pooled 3d-deep Positional Attention-based Bidirectional Recurrent convolutional descriptors (JTPAdBRd) for recognizing the human activities from video sequences. At first, the video is partitioned into clips and these clips are given as input of a two-stream Convolutional 3d (C3d) network in which the attention stream is used for extracting the body joints locations and the feature stream is used for extracting the trajectory points including spatiotemporal features. Then, the extracted features of each clip is needed to aggregate for creating the video descriptor. Therefore, the pooled feature vectors in all the clips within the video sequence are aggregated to a video descriptor. This aggregation is performed by using the PABRNN that concatenates all the pooled feature vectors related to the body joints and trajectory points in a single frame. Thus, the convolutional feature vector representations of all the clips belonging to one video sequence are aggregated to be a descriptor of the video using Recurrent Neural Network (RNN)-based pooling. Besides, these two streams are multiplied with the bilinear product and end-to-end trainable via class labels. Further, the activations of fully connected layers and their spatiotemporal variances are aggregated to create the final video descriptor. Then, these video descriptors are given to the Support Vector Machine (SVM) for recognizing the human behaviors in videos. At last, the experimental outcomes exhibit the considerable improvement in Recognition Accuracy (RA) of the JTdPABRd is approximately 99.4% achieved on the Penn Action dataset as compared to the existing methods.

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Negative prognostic factors and clinical improvement prediction modeling for extracorporeal shockwave therapy in calcific shoulder tendinitis using artificial intelligence techniques

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Journal of Shoulder and Elbow Surgery 2025年

作者： Chou, Wen-Yi Huang, Tian-Hsiang Cheng, Jai-Hong Lien, Yu-Jui Ho, Wen-Hsien Chou, Paul Pei-Hsi Ph.D. Program in Biomedical Engineering College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Orthopedic Surgery Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Leisure and Sport Management Cheng Shiu University Kaohsiung Taiwan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan Department of Medical Research Center for Shockwave Medicine and Tissue Engineering Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Healthcare Administration and Medical Informatics Kaohsiung Medical University Kaohsiung Taiwan Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung Taiwan College of Professional Studies National Pingtung University of Science and Technology Pingtung Taiwan Precision Sports Medicine and Health Promotion Center Kaohsiung Medical University Kaohsiung Taiwan Department of Sports Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Division of Sports Medicine Department of Orthopaedic Surgery Kaohsiung Medical University Hospital Kaohsiung Taiwan Department of Orthopaedics School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan

Background: The efficacy of extracorporeal shockwave therapy (ESWT) for treating shoulder calcific tendinitis can be influenced by various prognostic factors. This study aimed to identify prognostic factors associated with the failure of ESWT for symptom relief and to evaluate the predictive capability of the eXtreme Gradient Boosting (XGBoost) algorithm of artificial intelligence techniques in this context. Methods: This retrospective study enrolled patients with persistent shoulder pain attributed to calcific tendinitis who underwent ESWT after failed conservative treatment between January 1998 and december 2022. Age, sex, duration of symptoms, calcification classification and size, pre-ESWT visual analog scale (VAS), and pre-ESWT Constant-Murley score (CMS) served as potential input attributes. The difference in VAS and CMS were defined as the output attributes. The XGBoost model was used to predict treatment outcomes based on these factors. The dataset was balanced using the synthetic minority oversampling technique, and the model's performance was assessed using 10-fold cross-validation. Spearman's rank correlation coefficient analysis was adopted to explore the relationships between significant continuous input attributes and post-ESWT VAS and CMS scores. Results: A total of 296 patients with calcific tendinitis were enrolled and completed the 1-year follow-up. The findings revealed that a prolonged symptom duration (>10 months), severe pain (pre-ESWT VAS >5), and higher pre-ESWT CMS (>55) were significant prognostic factors for the failure of ESWT for symptom relief. Using these factors as inputs, the XGBoost model demonstrated high accuracy, precision, recall, and F1 score. By reducing the input attributes to age, calcification size, pre-ESWT CMS, and symptom duration, the model maintained a high prediction rate, suggesting that these factors are sufficient for effective prediction. discussion: The present study identified significant prognostic factors asso

关键词： Artificial intelligence Basic science Study calcific tendinitis CMS development of Predictive computer Modeling Using AI/Machine Learning ESWT shoulder VAS XGBoost

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Optimization of Neural Network Parameters Based on a Genetic Algorithm for Prediction of Time Series

Optimization of Neural Network Parameters Based on a Genetic...

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2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020

作者： Tormozov, V.S. Zolkin, A.L. Vasilenko, K.A. Pacific National University Senior Lecturer of the Software Engineering for Computers and Computer-based Systems Sub-faculty Tikhookeanskaya St. 136 Khabarovsk680054 Russia Ph.D. in Engineering Science Povolzhskiy State University of Telecommunications and Informatics Senior Lecturer of Computer and Information Sciences Department of the Povolzhskiy State University of Telecommunications and Informatics Samara443010 Russia Highest Category Lecturer Service and Design College of the Vladivostok State University of Economics and Service Service and Design College of the Vladivostok State University of Economics and Service Vladivostok690092 Russia

ISBN: (纸本)9781728169514

The article proposes a method that allows to solve the complex combinatorial problem of structural optimization of an artificial neural network with a large dimension of the space of optimization parameters using the stochastic mutation function with a constant coefficient of variation. A study on assessment of applicability of this approach to solve the problem is given. This method is proposed to be used for the forecasting of time series values. © 2020 IEEE.

关键词： Structural optimization

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Ultrafast circuit protection for unmanned systems

Ultrafast circuit protection for unmanned systems

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2019 International Conference on Communications, Information System, and computer Engineering, CISCE 2019

作者： Kao, Chih-Hong Huang, Sy-Ruen He, Bo-Rong Lin, Hsiung-Cheng School of Computer Science Minnan Normal University Lab of Granular Computing ZhangZhou Fujjan China Department of Electrical Engineering Feng Chia University Taichung Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering Chin-Yi University of Technology Taichung Taiwan

ISBN: (纸本)9781728136813

With increasing dependence on precision electronic equipment, self-protection is becoming essential. The protection circuits commonly used before were fuses and circuit breakers which, however, they are not enough for the current need of high-speed protection circuits and automated engineering logic. In this paper, we develop a new ultrahigh-speed protection circuit, which is over exceeded 20 times faster than traditional circuits and has the ability to self-recover when any failure occurs. With the new circuit developed, it is not necessary to do manual restart and will meet the future needs of protection for electronic precision equipment. This design provides greater convenience and reliability for the unmanned equipment for the future. © 2019 IEEE.

关键词： Timing circuits

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Counting Roots of a Polynomial in a Convex Compact Region by Means of Winding Number Calculation via Sampling

arXiv

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arXiv 2019年

作者： Zaderman, Vitaly Zhao, Liang Ph.D. Program in Mathematics Graduate Center of the City University of New York New YorkNY10016 United States Department of Computer Science

In this paper, we propose a novel efficient algorithm for calculating winding numbers, aiming at counting the number of roots of a given polynomial in a convex region on the complex plane. This algorithm can be used for counting and exclusion tests in a subdivision algorithms for polynomial root-finding, and would be especially useful in application scenarios where high-precision polynomial coefficients are hard to obtain but we succeed with counting already by using polynomial evaluation with lower precision. We provide the pseudo code of the algorithm, proof of its correctness as well as estimation of its complexity. Copyright © 2019, The Authors. All rights reserved.

关键词： Winding

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Corrigendum to "SnO2-xNx based tpod nanostructure for SARS-CoV2 spike protein detection" [234 (2023) Oct 1, 116505]

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Environmental research 2024年 242卷 117677页

作者： Nallin Sharma Chia-Hung Chi deepak dabur Andrew Chi-Chang Tsai Hui-Fen Wu Department of Chemistry National Sun Yat-Sen University Kaohsiung 70 Lien-Hai Road Kaohsiung 80424 Taiwan. International Ph.D. Program for Science National Sun Yat-Sen University Kaohsiung 80424 Taiwan. Jeenn Chwanq Enterprise Co. Ltd No. 14 Dazhu Road Kaohsiung 833 Taiwan. Department of Chemistry National Sun Yat-Sen University Kaohsiung 70 Lien-Hai Road Kaohsiung 80424 Taiwan School of Pharmacy College of Pharmacy Kaohsiung Medical University Kaohsiung 807 Taiwan Institute of Precision Medicine College of Medicine National Sun Yat-Sen University Kaohsiung 80424 Taiwan International Ph.D. Program for Science National Sun Yat-Sen University Kaohsiung 80424 Taiwan Institute of Medical Science and Technology National Sun Yat-Sen University Kaohsiung 80424 Taiwan. Electronic address: hwu@faculty.nsysu.edu.tw.

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Correction to: A mini‑review on plasticrusts: occurrence, current trends, potential threats, and recommendations for coastal sustainability

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Environmental monitoring and assessment 2024年第7期196卷 629页

作者： Minh-Ky Nguyen Md Refat Jahan Rakib Hoang-Lam Nguyen Chitsan Lin Guilherme Malafaia Abubakr M Idris Faculty of Environment and Natural Resources Nong Lam University of Ho Chi Minh City Hamlet 6 Linh Trung Ward Thu Duc City Ho Chi Minh City 700000 Vietnam. Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. Department of Fisheries and Marine Science Faculty of Science Noakhali Science and Technology University Sonapur Noakhali 3814 Bangladesh. Department of Civil Engineering McGill University Montreal Canada. Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. ctlin@nkust.edu.tw. Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. ctlin@nkust.edu.tw. Post‑Graduation Program in Ecology Conservation and Biodiversity Federal University of Uberlandia Uberlandia MG Brazil. guilhermeifgoiano@***. Post‑Graduation Program in Biotechnology and Biodiversity Federal University of Goias Goiania GO Brazil. guilhermeifgoiano@***. Post‑Graduation Program in Conservation of Cerrado Natural Resources Goiano Federal Institute Urutai GO Brazil. guilhermeifgoiano@***. Department of Chemistry College of Science King Khalid University 62529 Abha Saudi Arabia. Research Center for Advanced Materials Science (RCAMS) King Khalid University 62529 Abha Saudi Arabia.

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Combinatorial Engineered Immuno-Fragments Targeting SARS-CoV-2 Nucleocapsid Protein for Epitope Complementarity

SSRN

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SSRN 2024年

作者： dlamini, Nhlanhla Benedict Lee, Chi-Hsin Wang, Wei-Chu Huang, Peng-Nien Leu, Sy-Jye Tseng, Sung-Nien Shih, Shin-Ru Chiang, Liao-Chun Mao, Yan-Chiao Tsai, Bor-Yu Yang, Yi-Yuan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei110301 Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei110301 Taiwan Research Center for Emerging Viral Infections Chang Gung University Taoyuan333423 Taiwan Division of Infectious Diseases Department of Pediatrics Linkou Chang Gung Memorial Hospital Taoyuan333423 Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei110301 Taiwan Department of Microbiology and Immunology School of Medicine College of Medicine Taipei Medical University Taipei110301 Taiwan Department of Laboratory Medicine Linkou Chang Gung Memorial Hospital Taoyuan333423 Taiwan College of Life Sciences National Tsing Hua University Hsinchu300040 Taiwan Division of Clinical Toxicology Department of Emergency Medicine Taichung Veterans General Hospital Taichung407219 Taiwan Navi Bio-Therapeutics Inc. Taipei10351 Taiwan Core Laboratory of Antibody Generation and Research Taipei Medical University Taipei110301 Taiwan

Recombinant avian phage display immunoglobulin Y derivative single chain variable fragment (IgY-scFv) antibodies have evolved as robust single-chain antigen recognizing IgY analogues due to the advent of immuno-nanotechnology and other immunomolecular biotechnology applications. This academic study reports on the engineering and characterization of severe acute respiratory syndrome coronavirus 2 nucleocapsid (SARS-CoV-2 N) monoaffinity recombinant chicken IgY derivative single chain variable fragment (IgY-scFv) antibody fragments as versatile tools for surrogate immunological identification of the SARS-CoV-2 virus nuclear biomarker. To improve the immunopanning selection for specific binders, layer hens were immunised with the SARS-CoV-2 nucleocapsid protein to pre-enrich higher affinity B cell gene repertoires prior to library construction. Pre-enrichment humoral egg yolk polyclonal IgY antibodies were isolated following the PEG-8000 precipitation protocol. An experimental based modelling approach was applied in order to create IgY derivative N protein single chain variable fragments (IgY-scFv N) M13KO7 phage antibody libraries, an immune phage display library constructed system that supported the generation of functional anti-SARS-CoV-2 N protein IgY-scFv affinity monospecific fragment immunomolecules. After the immunopanning enrichment selection process three distinct positive sequence family IgY-scFv fragments obtained demonstrated epitope specific affinity (micromolar range kinetics) towards the targeted recombinant SARS-CoV-2 N protein and also positively identified native SARS-CoV-2 (COVId-19) N protein in formalin-fixed paraffin-embedded (FFPE) 293T cell pellets. © 2024, The Authors. All rights reserved.

关键词： Coronavirus

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