检索结果-内蒙古大学图书馆

77th Annual Technical Conference of the Society of Plastics Engineers, ANTEC 2019

作者： Chen, Jian-Yu Huang, Ming-Shyan Nian, Shih-Chih Tseng, Chien-Chou Bachelor Program of Precision System Design Feng Chia University Taiwan Dept. of Mechanical and Automation Engineering National Kaohsiung University of Science and Technology Taiwan Dept. of Power Mechanical Engineering National Taitung College Taiwan

Quality control is a crucial issue in the injection molding process with target of obtaining a high yield rate and reducing production cost. However, conventional injection molding acts like a black-box in which the flowing behavior of polymer melt within cavities is unseen, and the tuning of process parameters is heavily relied on operators' experience, design of experimental methods, or even trial- and-error. Such approaches are not only time-consuming but also lack of assuring consistent injection molding qualities and quality control is then required. Nowadays with the advance of sensing technology, many sensors are available to detect the flowing behavior of polymer melt within mold cavities. Particularly the pressure, velocity, and temperature that affect the flowing ability of polymer melt can be detected in time. In other words, injection molding now has been transformed into a grey-box and a scientific viewpoint to tune process parameters can be realized. In this research, a quality index extracted from pressure profile is aimed for online quality monitoring. In addition, the clamping force increment quality index extracted from the tie-bar elongation which is detected by strain gauges attached on tie bars, free of invading injection mold structure, is paid much attention. To verify the feasibility of the designed quality index using to prediction the injection molded quality, varying barrel temperature, back pressure and rotational speed of plasticizing screw those can affect the plasticizing quality of raw materials are conducted in this investigation. Experimental results reveals that the clamping force increment as well as pressure peak index extracted from injection system pressure, nozzle pressure, end-of-filling cavity pressure profiles during injection molding are highly correlated with injection-molded qualities and thereby are feasible to be a good quality indicator. © 2019 Society of Plastics Engineers. All rights reserved.

关键词： Polymer melts

来源：评论

学校读者我要写书评

暂无评论

Circular RNA in liquid biopsy as biomarkers toward precision medicine

引用

Molecular therapy. Nucleic acids 2023年 31卷 689-690页

作者： Yueh-Chun Lee Huey-En Tzeng Hui-Hsuan Lin Kuei-Yang Hsiao Department of Radiation Oncology Chung Shan Medical University Hospital Taichung 40201 Taiwan. School of Medicine Chung Shan Medical University Taichung 40201 Taiwan. Division of Hematology and Medical Oncology Taichung Veterans General Hospital Taichung 40705 Taiwan. Department of Medicine Taichung Veterans General Hospital Taichung 40705 Taiwan. Precision Medicine Center Taichung Veterans General Hospital Taichung 40705 Taiwan. PhD Program in Tissue Engineering and Regenerative Medicine National Chung Hsing University Taichung 40227 Taiwan. Institute of Biochemistry College of Life Sciences National Chung Hsing University Taichung 40227 Taiwan. PhD Program in Translational Medicine College of Life Sciences National Chung Hsing University Taichung 40227 Taiwan. Rong Hsing Research Center for Translational Medicine College of Life Sciences National Chung Hsing University Taichung 40227 Taiwan.

来源：评论

学校读者我要写书评

暂无评论

Recent developments in biomedical applications of metasurface optics

引用

APL Photonics 2024年第3期9卷

作者： Chu, Cheng Hung Vyas, Sunil Luo, Yuan Yang, Pan-Chyr Tsai, Din Ping YongLin Institute of Health National Taiwan University Taipei10087 Taiwan Institute of Medical Device and Imaging National Taiwan University Taipei10051 Taiwan Program for Precision Health and Intelligent Medicine National Taiwan University Taipei106319 Taiwan Department of Internal Medicine National Taiwan University Hospital National Taiwan University Taipei Taipei10002 Taiwan Institute of Biomedical Sciences Academia Sinica Taipei11529 Taiwan Department of Electrical Engineering City University of Hong Kong Kowloon999077 Hong Kong Centre for Biosystems Neuroscience and Nanotechnology City University of Hong Kong Kowloon999077 Hong Kong The State Key Laboratory of Terahertz and Millimeter Waves City University of Hong Kong Kowloon999077 Hong Kong

Metasurfaces have attracted considerable attention because of their unique optical capabilities to control the fundamental properties of light, such as amplitude, phase, and polarization. The flat nature of metasurfaces can help reduce the complexities and bulk of conventional optical systems. After a decade of rapid progress, metasurfaces are close to maturity and have found their role in various optical applications. This review emphasizes the significant advancements and emerging applications of metasurfaces in biomedical optics, particularly focusing on beam shaping for laser treatments, light-sheet fluorescence microscopy, HiLo microscopy, and optical trapping. Looking forward, we discuss foreseeable challenges for integrating metasurfaces into biomedical, preclinical, and clinical systems. © 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://***/licenses/by/4.0/).

关键词： Fluorescence microscopy

来源：评论

学校读者我要写书评

暂无评论

Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework

arXiv

引用

arXiv 2025年

作者： Lee, Cheol-Hui Kim, Hakseung Yoon, Byung C. Kim, Dong-Joo Department of Brain and Cognitive Engineering Korea University Seoul Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul Korea Republic of Department of Radiology Stanford University School of Medicine VA Palo Alto Health Care System Palo AltoCA United States Department of Neurology Korea University College of Medicine Seoul Korea Republic of

Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective. Despite advances in deep learning that have enhanced automation, these approaches remain heavily dependent on large-scale labeled datasets. This study introduces SynthSleepNet, a multimodal hybrid self-supervised learning framework designed for analyzing polysomnography (PSG) data. SynthSleepNet effectively integrates masked prediction and contrastive learning to leverage complementary features across multiple modalities, including electroencephalogram (EEG), electrooculography (EOG), electromyography (EMG), and electrocardiogram (ECG). This approach enables the model to learn highly expressive representations of PSG data. Furthermore, a temporal context module based on Mamba was developed to efficiently capture contextual information across signals. SynthSleepNet achieved superior performance compared to state-of-the-art methods across three downstream tasks: sleep-stage classification, apnea detection, and hypopnea detection, with accuracies of 89.89%, 99.75%, and 89.60%, respectively. The model demonstrated robust performance in a semi-supervised learning environment with limited labels, achieving accuracies of 87.98%, 99.37%, and 77.52% in the same tasks. These results underscore the potential of the model as a foundational tool for the comprehensive analysis of PSG data. SynthSleepNet demonstrates comprehensively superior performance across multiple downstream tasks compared to other methodologies, making it expected to set a new standard for sleep disorder monitoring and diagnostic systems. The source code is available at https://***/dlcjfgmlnasa/SynthSleepNet. Copyright © 2025, The Authors. All rights reserved.

关键词： Self-supervised learning

来源：评论

学校读者我要写书评

暂无评论

1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs

引用

Immuno-Oncology and Technology 2021年 11卷 100042-100042页

作者： Stopfer, L.E. White, F.M. Department of Biological Engineering Massachusetts Institute of Technology Cambridge United States Koch Institute for Integrative Cancer Research Center for Precision Cancer Medicine Massachusetts Institute of Technology Cambridge United States Program in Health Sciences and Technology Harvard Medical School and Massachusetts Institute of Technology Boston United States

Quantitative mass-spectrometry-based methods to perform relative and absolute quantification of peptides in the immunopeptidome are growing in popularity as researchers aim to measure the dynamic nature of the peptide major histocompatibility complex repertoire and make copies-per-cell estimations of target antigens of interest. Multiple methods to carry out these experiments have been reported, each with unique advantages and limitations. This article describes existing methods and recent applications, offering guidance for improving quantitative accuracy and selecting an appropriate experimental set-up to maximize data quality and quantity. © 2021 The Author(s)

关键词： antigen presentation HLA immunopeptidomics mass spectometry MHC

来源：评论

学校读者我要写书评

暂无评论

Abnormal association between neural activity and genetic expressions of impulsivity in attention deficit hyperactivity disorder: an Adolescent Brain Cognitive Development study

引用

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2025年

作者： Soohyun Jeon Jae-eon Kang Jundong Hwang Vince D. Calhoun Jong-Hwan Lee Department of Brain and Cognitive Engineering Korea University Seoul South Korea Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University Georgia Institute of Technology and Emory University Atlanta USA Department of Electrical and Computer Engineering Georgia Institute of Technology Atlanta USA Interdisciplinary Program in Precision Public Health Korea University Seoul South Korea McGovern Institute for Brain Research Massachusetts Institute of Technology Boston MA

Background Impulsivity in highly heritable attention deficit hyperactivity disorder (ADHD) has been studied using neural activity via fMRI or genetic data, but rarely with multivariate methods linking both. We investigated coupled neural activity and gene expression signatures, using parallel independent component analysis (pICA) and Adolescent Brain Cognitive Development data. Methods Children with ADHD ( n = 394; 63% males) and healthy controls ( n = 1,000; 47% males) of European ancestry were included. The subjects were randomly divided into 80% discovery and 20% replication datasets with demographic stratification. We analyzed neural activity and gene expressions from the discovery datasets using pICA and extracted paired independent components (pICs). The loading coefficients of the pICs were utilized to predict behavioral and cognitive data for stop signal task (SST) in replication datasets. Results We identified three pICs estimated from gene expression in the cortex, cerebellum, and nucleus accumbens. Significant neural activity was mainly localized to the orbital/inferior/middle frontal gyri, rectal gyrus, precuneus, inferior temporal gyrus, inferior parietal lobule, and cerebellum. Significant gene components were associated with immunoglobulin, taste receptor, and immunity-related terms and were overlapped with ADHD-related genes. The extracted fMRI-/Gene-ICs were significantly correlated with mean reaction time, stop signal reaction time of SST, and behavioral inhibition with a large boost in sensitivity when both the paired fMRI-/Gene-ICs and their interaction were used in a multimodal regression analysis. Conclusion We reported biologically plausible pairs of neural activity and gene sets using pICA, which were significantly associated with ADHD impulsivity-related behavioral and cognitive data.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Characterization of super-Gaussian beams generated through volume holography

引用

Optics & Laser Technology 2025年 190卷

作者： Surag Athippillil Suresh Sunil Vyas J. Andrew Yeh Yuan Luo Institute of Nano Engineering and Microsystems National Tsing Hua University Hsinchu 30013 Taiwan ROC Institute of Medical Device and Imaging National Taiwan University Taipei 10051 Taiwan ROC Program for Precision Health and Intelligent Medicine National Taiwan University Taipei 106319 Taiwan ROC Department of Biomedical Engineering National Taiwan University Taipei 10051 Taiwan ROC YongLin Institute of Health National Taiwan University Taipei 10087 Taiwan ROC

Super-Gaussian (SG) illuminators offer a promising solution for addressing non-uniform illumination challenges in laser and related imaging applications. This study explores the generation and characterization of SG beams using volume holography (VH), where PQ: PMMA photosensitive materials are employed for recording and reconstructing SG beam profiles of various shapes. The characterization focuses on ISO-standard parameters, including plateau uniformity, edge steepness, flatness factor, and beam stability along the propagation axis and for different wavelengths, and shows high-performance values. The VH-generated SG beams provide uniform illumination, enhance imaging fidelity, and enable high throughput with minimal image overlap. The comparative analysis underscores the advantages of VH-based SG illuminators over conventional programmable beam-shaping methods, such as spatial light modulators, particularly in terms of tunability, efficiency, and versatility for communication and data storage applications.

关键词： Beam shaping Flat field illumination ISO standard Super-Gaussian beam Volume holography

来源：评论

学校读者我要写书评

暂无评论

Structural, Electronic, Optical, and Potassium Anodic Electrochemical Characteristics of 2-Dimensional Silicane: A Density Functional Theory Investigation

SSRN

引用

SSRN 2022年

作者： Peng, Qiong Rehman, Javed Aziz, Saadullah G. Laref, Amel Albaqami, Munirah D. Alotabi, Reham Ghazi Dinh, Van An Shibl, Mohamed F. Institution of Condensed Physics College of Physics and Electronics Engineering Hengyang Normal University Hengyang421002 China Department of Physics National University of Defense Technology Hunan Changsha410073 China Baluchistan Quetta87300 Pakistan Chemistry Department Faculty of Science King Abdulaziz University Jeddah21589 Saudi Arabia Department of Physics and Astronomy College of Science King Saud University Riyadh11451 Saudi Arabia Chemistry Department College of Science King Saud University Riyadh11451 Saudi Arabia Department of Precision Engineering Graduate School of Engineering Osaka University 2-1 Yamadaoka Osaka Suita565-0871 Japan Renewable Energy Program Center for Sustainable Development College of Arts and Sciences Qatar University Doha2713 Qatar

Two-dimensional (2D) graphene-like materials have attracted tremendous interest due to their remarkable properties in nanoelectronics. To understand and characterize the various physical properties of silicane relevant to optoelectronic and battery applications, various characteristics of 2D silicane Si2H2 are investigated using the density-functional theory. It is disclosed that the structure of 2D Si2H2 is stable, which corroborates its experimental feasibility based on the computational outcomes. With absorption coefficients of about 73.08 (104/cm) and 158.86 (104/cm) at 7.63 eV and 7.66 eV, respectively, it is pertinent to optoelectronic devices. 2D silicane is an exemplary K anodic material, owing to its lesser average open-circuit voltage (OCV) (0.23) and superior theoretical capacity (506 mAhg-1). Afterward, we procured the lowest activation barrier (40 meV) for K migration, which implies the swift charge/discharge mechanism for potassium ion batteries (PIBs). These concomitant findings reinforce the pertinence of silicane material in solar and K anodic utilizations. © 2022, The Authors. All rights reserved.

关键词： Open circuit voltage

来源：评论

学校读者我要写书评

暂无评论

Radiomics in liver research: A paradigm shift in disease detection and staging

European Journal of Radiology Artificial Intelligence

引用

European Journal of Radiology Artificial Intelligence 2025年 2卷 100016-100016页

作者： Le, Minh Huu Nhat Kha, Hien Quang Tran, Nghia Minh Nguyen, Phat Ky Huynh, Han H. Huynh, Phat Kim Lam, Han Le, Nguyen Quoc Khanh International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan AIBioMed Research Group Taipei Medical University Taipei 110 Taiwan Translational Science and Precision Medicine Talent Cultivation Program College of Medical Science and Technology Taipei Medical University Taipei 110 Taiwan International Master Program for Translational Science College of Medical Science and Technology Taipei Medical University Taipei 110 Taiwan Department of Industrial and Systems Engineering North Carolina A&T State University USA Industrial & Management Systems Engineering Department University of South Florida Tampa FL 33620 USA In-Service Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei 110 Taiwan Translational Imaging Research Center Taipei Medical University Hospital Taipei 110 Taiwan

AbstractThis narrative review explores radiomics in the broader context of liver disease research, an interdisciplinary field bridging medical imaging, oncology, and data science. It begins with an introduction to data analysis techniques, from foundational methods like descriptive statistics, comparative and regression analysis, and survival analysis, to advanced approaches like machine learning (ML), meta-analysis, and bioinformatics. Contextualizing these methodologies within liver disease research enhances our understanding of liver diseases. The focus is on radiomics, an emerging field, which is first placed in historical context before its applications are explained across fatty liver diseases (FLD), fibrosis, cirrhosis, and liver cancers. The role of radiomics in early detection, disease staging, and outcome prediction, particularly as a non-invasive alternative to liver biopsy, is analyzed in-depth. Current imaging modalities for liver cancer diagnosis are also examined, highlighting their advantages and limitations. Alongside radiomics, these imaging tools enable comprehensive liver assessment. Lastly, the integration of radiomics with other data types, especially genomic data, is explored, emphasizing its role in a holistic approach to liver disease management. The review concludes with a forward-looking perspective on future directions and advancements in radiomics and liver cancer research, addressing the challenges and opportunities in the field. It underscores the transformative impact of these developments on liver cancer research, patient care, personalized medicine, and clinical decision-making.

关键词： AFP alpha-fetoprotein AI artificial intelligence AST aspartate transaminase AUC area under the curve CCrCC clear cell renal cell carcinoma CEUS contrast-enhanced ultrasound CNNs convolutional neural networks DCNN deep convoluted neural network DOR diagnostic odds ratio FLD fatty liver disease GWAS genome-wide association studies HCC hepatocellular carcinoma MAFLD metabolic associated fatty liver disease ML machine learning MRE magnetic resonance elastography NAFLD nonalcoholic fatty liver disease NASH nonalcoholic steatohepatitis NPV negative predictive value PPV positive predictive value VCTE vibration-controlled transient elastography Radiomics Liver disease Cancer Non-invasive diagnostic techniques Presicion medicine Deep learning Machine learning

来源：评论

学校读者我要写书评

暂无评论

Variations in the acoustic measurement of earbud earphones in an ane-choic chamber due to changes in the earphone placement in ear Concha

引用

Canadian Acoustics - Acoustique Canadienne 2020年第4期48卷 29-40页

作者： Pawar, S.J. Liu, Y.C. Huang, Jin H. Department of Applied Mechanics Motilal Nehru National Institute of Technology Allahabad Prayagraj India Bachelor's Program in Precision System Design Feng Chia University Taichung Taiwan Department of Mechanical and Computer-Aided Engineering Feng Chia University Taichung Taiwan

The growth of consumer electronic products is encouraged by innovations and has stimulated the persistent development of earphones for high-quality sound reproduction. Earbud earphone is located in the concha of the human ear facing an ear-canal. The placement of earphones in the concha plays a remarkable role in the sound pressure level response of an earphone. In this study, ten earphones were tested for frequency response and total harmonic distortion using head and torso simulator in an anechoic chamber. Three positions and two orientations of earphones in the concha were identified for measurement. Based on the responses of all earphones at all orientations and positions, it is concluded that there is a variation in the frequency response and total harmonic distortion. Even though the variation is small in magnitude, its effect on sound perception, sound exposure, and the hearing threshold is phenomenal. Based on the proposition presented in this work and the safe daily sound exposure, it has been determined that the variation in the frequency response affects the perceived loudness of sound and can cause signif-icant differences in the daily sound exposure limit for a human being. © 2020, Canadian Acoustical Association. All rights reserved.

关键词： Frequency response

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：