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  1. Article ; Online: Thermal indices for human biometeorology based on Python

    Yung-Chang Chen

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 10

    Abstract: Abstract Thermal indices, such as Predicted Mean Vote, Outdoor Standard Effective Temperature, Physiologically Equivalent Temperature, and Universal Thermal Climate Index, are essential for the evaluation of thermal perception, the design of climate ... ...

    Abstract Abstract Thermal indices, such as Predicted Mean Vote, Outdoor Standard Effective Temperature, Physiologically Equivalent Temperature, and Universal Thermal Climate Index, are essential for the evaluation of thermal perception, the design of climate sensitive buildings or urban area, and tourism. These thermal indices are built on complicated numeric models. RayMan was developed to calculate thermal indices based on Delphi program language on the Windows 7 operating system. RayMan is not currently under active maintenance or development. Thus, this report describes the development of an innovative Python library named biometeo that includes an innovative thermal index (modified Physiologically Equivalent Temperature) as a next generation program to calculate thermal indices and human biometeorological variables.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: A systematic review of the barcoding strategy that contributes to COVID-19 diagnostics at a population level

    Heng-Chang Chen

    Frontiers in Molecular Biosciences, Vol

    2023  Volume 10

    Abstract: The outbreak of SARS-CoV-2 has made us more alert to the importance of viral diagnostics at a population level to rapidly control the spread of the disease. The critical question would be how to scale up testing capacity and perform a diagnostic test in ... ...

    Abstract The outbreak of SARS-CoV-2 has made us more alert to the importance of viral diagnostics at a population level to rapidly control the spread of the disease. The critical question would be how to scale up testing capacity and perform a diagnostic test in a high-throughput manner with robust results and affordable costs. Here, the latest 26 articles using barcoding technology for COVID-19 diagnostics and biologically-relevant studies are reviewed. Barcodes are molecular tags, that allow proceeding an array of samples at once. To date, barcoding technology followed by high-throughput sequencing has been made for molecular diagnostics for SARS-CoV-2 infections because it can synchronously analyze up to tens of thousands of clinical samples within a short diagnostic time. Essentially, this technology can also be used together with different biotechnologies, allowing for investigation with resolution of single molecules. In this Mini-Review, I first explain the general principle of the barcoding strategy and then put forward recent studies using this technology to accomplish COVID-19 diagnostics and basic research. In the meantime, I provide the viewpoint to improve the current COVID-19 diagnostic strategy with potential solutions. Finally, and importantly, two practical ideas about how barcodes can be further applied in studying SARS-CoV-2 to accelerate our understanding of this virus are proposed.
    Keywords barcoding technology ; SARS-CoV-2 ; COVID-19 ; COVID-19 diagnostics ; population diagnostics ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Attention Block Based on Binary Pooling

    Chang Chen / Huaixiang Zhang

    Applied Sciences, Vol 13, Iss 10012, p

    2023  Volume 10012

    Abstract: Image classification has become highly significant in the field of computer vision due to its wide array of applications. In recent years, Convolutional Neural Networks (CNN) have emerged as potent tools for addressing this task. Attention mechanisms ... ...

    Abstract Image classification has become highly significant in the field of computer vision due to its wide array of applications. In recent years, Convolutional Neural Networks (CNN) have emerged as potent tools for addressing this task. Attention mechanisms offer an effective approach to enhance the accuracy of image classification. Despite Global Average Pooling (GAP) being a crucial component of traditional attention mechanisms, it only computes the average of spatial elements in each channel, failing to capture the complete range of feature information, resulting in fewer and less expressive features. To address this limitation, we propose a novel pooling operation named “Binary Pooling” and integrate it into the attention block. Binary pooling combines both GAP and Global Max Pooling (GMP), obtaining a more comprehensive feature vector by extracting average and maximum values, thereby enriching the diversity of extracted image features. Furthermore, to further enhance the extraction of image features, dilation operations and pointwise convolutions are applied on the channel-wise. The proposed attention block is simple yet highly effective. Upon integration into ResNet18/50 models, it leads to accuracy improvements of 2.02%/0.63% on ImageNet.
    Keywords ResNet ; attention ; image classification ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 006
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: New Anodic Discoloration Materials Applying Energy-Storage Electrochromic Device.

    Chen, Po-Wen / Chang, Chen-Te

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 15

    Abstract: We have assessed new anodic coloring materials that can be used as ion storage layers in complementary energy storage electrochromic devices (ESECDs) to enhance their electrochromic storage performance. In our study, we fabricated counter electrodes (ion ...

    Abstract We have assessed new anodic coloring materials that can be used as ion storage layers in complementary energy storage electrochromic devices (ESECDs) to enhance their electrochromic storage performance. In our study, we fabricated counter electrodes (ion storage layers) using an IrO
    Language English
    Publishing date 2023-08-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16155412
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: The impact of surgeon's academic leave on surgical outcomes for endoscopic transsphenoidal resection of pituitary tumors.

    Yan, Jiun-Lin / Stovell, Matthew G / Chang, Chen-Nen

    Gland surgery

    2024  Volume 13, Issue 2, Page(s) 155–163

    Abstract: Background: Endoscopic surgery has become the mainstay of pituitary surgery, but requires comprehensive surgical training. We evaluate the impact of a surgeon's academic leave during endoscopic training on surgical outcomes of patients with pituitary ... ...

    Abstract Background: Endoscopic surgery has become the mainstay of pituitary surgery, but requires comprehensive surgical training. We evaluate the impact of a surgeon's academic leave during endoscopic training on surgical outcomes of patients with pituitary tumors.
    Methods: This retrospective study reviewed the surgical outcomes of endoscopic transsphenoidal surgery for pituitary tumors performed by a single surgeon. The last 56 surgical cases were performed between July 2010 and August 2014 before academic leave (Phase 1 surgery group), while another 56 consecutive cases were performed between November 2017 and March 2020 immediately after the surgeon's academic leave (Phase 2 surgery group). Demographic and clinical characteristics were collected and compared between the two surgery groups.
    Results: Overall, most surgical outcomes of endoscopic transsphenoidal surgery were not affected adversely by the period of academic leave. The operative time and length of hospital stay was lower in the Phase 2 surgery group compared to the Phase 1 surgery group (P<0.05). Postoperative tumor residual, intraoperative cerebrospinal fluid (CSF) leaks and reoperation also decreased significantly in the Phase 2 group compared to the Phase 1 group (P<0.05). Similar results were observed in patients operated using a one-hand/mono-nostril and two-hand/one-and-half nostril technique.
    Conclusions: Academic leave had no negative impact on most surgical outcomes for endoscopic transsphenoidal resection of pituitary tumors. Moreover, a trend toward shorter operative times and length of hospital stays was noted for patients receiving surgery immediately after surgeon's return from leave.
    Language English
    Publishing date 2024-02-27
    Publishing country China (Republic : 1949- )
    Document type Journal Article
    ZDB-ID 3016969-0
    ISSN 2227-8575 ; 2227-684X
    ISSN (online) 2227-8575
    ISSN 2227-684X
    DOI 10.21037/gs-23-347
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Implementation of Lightweight Convolutional Neural Networks with an Early Exit Mechanism Utilizing 40 nm CMOS Process for Fire Detection in Unmanned Aerial Vehicles.

    Liang, Yu-Pei / Chang, Chen-Ming / Chung, Ching-Che

    Sensors (Basel, Switzerland)

    2024  Volume 24, Issue 7

    Abstract: The advancement of unmanned aerial vehicles (UAVs) enables early detection of numerous disasters. Efforts have been made to automate the monitoring of data from UAVs, with machine learning methods recently attracting significant interest. These solutions ...

    Abstract The advancement of unmanned aerial vehicles (UAVs) enables early detection of numerous disasters. Efforts have been made to automate the monitoring of data from UAVs, with machine learning methods recently attracting significant interest. These solutions often face challenges with high computational costs and energy usage. Conventionally, data from UAVs are processed using cloud computing, where they are sent to the cloud for analysis. However, this method might not meet the real-time needs of disaster relief scenarios. In contrast, edge computing provides real-time processing at the site but still struggles with computational and energy efficiency issues. To overcome these obstacles and enhance resource utilization, this paper presents a convolutional neural network (CNN) model with an early exit mechanism designed for fire detection in UAVs. This model is implemented using TSMC 40 nm CMOS technology, which aids in hardware acceleration. Notably, the neural network has a modest parameter count of 11.2 k. In the hardware computation part, the CNN circuit completes fire detection in approximately 230,000 cycles. Power-gating techniques are also used to turn off inactive memory, contributing to reduced power consumption. The experimental results show that this neural network reaches a maximum accuracy of 81.49% in the hardware implementation stage. After automatic layout and routing, the CNN hardware accelerator can operate at 300 MHz, consuming 117 mW of power.
    Language English
    Publishing date 2024-04-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s24072265
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  7. Article ; Online: Market Efficiency and Stock Investment Loss Aversion Guide During COVID-19 Pandemic Events

    Yen-Chang Chen / Ying-Sing Liu

    SAGE Open, Vol

    The Case for Applying Data Mining

    2023  Volume 13

    Abstract: This study explores the late coronavirus disease 2019 (COVID-19) pandemic, particularly, 2022Q1 to 2022Q3, to analyze the stock returns of industries expected to have a direct impact. The aim is to identify the factors influencing stock returns and to ... ...

    Abstract This study explores the late coronavirus disease 2019 (COVID-19) pandemic, particularly, 2022Q1 to 2022Q3, to analyze the stock returns of industries expected to have a direct impact. The aim is to identify the factors influencing stock returns and to provide investment strategies, focusing on investment risk control (loss aversion). A total of 193 common stocks listed on the Taiwanese stock market were collected from four major industries: sports, restaurants, biotechnology, and epidemic prevention. Using the past information set (2021Q4): variables in three dimensions—firm characteristics, financial indicators, and corporate governance—are used to construct a stock investment strategy model. Empirical evidence shows the existence of differences in the stock investment advantages of some industries and firm characteristics and the lack of investment advantages of epidemic prevention stocks in 2020. The decision-tree model has a precision of 79.4% and an accuracy of 72.0%. The five most important factors affecting stock returns are market value, cash flow adequacy ratio, return on assets, Tobin’s Q , and price/book value. The scheme inducting three types of losses of return (loser) and one type of profit (winner) is summarized for reference. Second, it confirms the correlation between past information sets and stock returns, suggesting that Taiwan’s stock market was inefficient during the late stage of the COVID-19 pandemic. Finally, this study’s findings can be used as a reference for future fund managers and investors when handling similar events. JEL Classification: G11, G14, C88, I15
    Keywords History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
    Subject code 332
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Movement characteristics of the inclined surface flow of the open channel on the nanoscale surface

    Yen-Chang Chen / Han-Chung Yang

    Heliyon, Vol 9, Iss 7, Pp e17677- (2023)

    2023  

    Abstract: This study investigates the water flow characteristics on a solid surface with nanoscale compared to a normal solid surface. The experiment uses a high-speed video system and Fiber-optic Laser Doppler Velocimetry to measure the flow condition of the ... ...

    Abstract This study investigates the water flow characteristics on a solid surface with nanoscale compared to a normal solid surface. The experiment uses a high-speed video system and Fiber-optic Laser Doppler Velocimetry to measure the flow condition of the droplet and velocity distribution profile in the inclined surface flow of the open channel, respectively. The results showed that the movement speed of water droplets on the nanoscale surface was about 2 times faster than on the normal surface. The mean error of each velocity profile was 0.6%. The results reveal that the velocity profile is not significantly influenced by whether the flume bottom is coated with nanoscale material or not in the inclined surface flow of the open channel.
    Keywords Nanoscale ; High-speed video system ; Fiber-optic laser doppler velocimetry ; Velocity profile ; Open channel ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Research on the Multi-Angle Seismic Spectrum Response Law of Auxiliary Feedwater Electric Pumps

    Zhongxu Tian / Chang Chen / Junting Yuan / Genpei Li

    Applied Sciences, Vol 14, Iss 1, p

    2023  Volume 28

    Abstract: The auxiliary feedwater electric pump, which is vital in nuclear power units, demands exceptional seismic reliability. The impact of the seismic excitation direction on the seismic response of the complex auxiliary feedwater electric pump structure ... ...

    Abstract The auxiliary feedwater electric pump, which is vital in nuclear power units, demands exceptional seismic reliability. The impact of the seismic excitation direction on the seismic response of the complex auxiliary feedwater electric pump structure remains inadequately understood, thereby introducing uncertainties into seismic analysis and equipment installation procedures. To address this challenge, this study centers on a representative horizontal multi-stage centrifugal pump based on the finite element model and modal analysis. Utilizing the response spectrum method and the square root of the sum of the squares (SRSS) vibration pattern superposition principle, the research comprehensively explores the seismic response characteristics of individual pressure-bearing components and key rotor positions under seismic excitation from various angles. Findings reveal intricate variations in maximum stress and displacement responses for each pressure-bearing component under safe shutdown earthquake (SSE) level seismic excitation, corresponding to different input angles of seismic spectra. In assessing the seismic operability of the clearance between the impeller and the stator, the direction near 45° exhibits the maximum displacement response, highlighting the need for focused attention in testing and verification checks. The methodologies and conclusions presented in this paper offer valuable insights for designing, optimizing, and installing horizontal multi-stage centrifugal pumps, including auxiliary feedwater electric pumps, providing valuable guidance for future applications in the field.
    Keywords seismic response ; horizontal multi-stage centrifugal pump ; modal analysis ; seismic spectrum input direction ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 500
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Regular Exercise Is Associated With Better Mental Health During COVID-19 Pandemic: A Unique Example in Taiwan.

    Yang, Feng-An / Chang, Chen-Kang

    Asia-Pacific journal of public health

    2022  Volume 34, Issue 8, Page(s) 853–855

    MeSH term(s) Humans ; COVID-19 ; Pandemics/prevention & control ; Mental Health ; Taiwan/epidemiology ; Exercise/psychology
    Language English
    Publishing date 2022-07-29
    Publishing country China
    Document type Journal Article
    ZDB-ID 1025444-4
    ISSN 1941-2479 ; 1010-5395
    ISSN (online) 1941-2479
    ISSN 1010-5395
    DOI 10.1177/10105395221115219
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