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  1. Article ; Online: Design and fabrication of a novel prism for micro-optical system.

    Hung, Kuo-Yung / Lee, Chun-Fu / Tsai, Yi-Wei

    Applied optics

    2012  Volume 51, Issue 16, Page(s) 3558–3563

    Abstract: This study presents a special k-type (45°, 135°) microprism structure design for the lateral-type semiconductor laser of optical systems. This study combines front- and back-side inclined exposure technology to develop a k-type microprism structure and ... ...

    Abstract This study presents a special k-type (45°, 135°) microprism structure design for the lateral-type semiconductor laser of optical systems. This study combines front- and back-side inclined exposure technology to develop a k-type microprism structure and replaces the optical prism manufactured through traditional machine processing or injection molding with a new polymer (thick-film negative photoresists) micro-optical prism structure. To obtain the optimal structural surface roughness (12-15 nm at 400  μm×400  μm area), the percentage of polymer material loss caused by the solvent was controlled. This roughness level meets Blu-ray specifications (λ/10, λ=405  nm).
    Language English
    Publishing date 2012-06-01
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4522
    ISSN (online) 1539-4522
    DOI 10.1364/AO.51.003558
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics.

    Chen, Chi-Mai / Jyan, Hong-Wei / Chien, Shih-Chieh / Jen, Hsiao-Hsuan / Hsu, Chen-Yang / Lee, Po-Chang / Lee, Chun-Fu / Yang, Yi-Ting / Chen, Meng-Yu / Chen, Li-Sheng / Chen, Hsiu-Hsi / Chan, Chang-Chuan

    Journal of medical Internet research

    2020  Volume 22, Issue 5, Page(s) e19540

    Abstract: Background: Low infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require ... ...

    Abstract Background: Low infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require quarantine and isolation.
    Objective: We present here a unique application of big data analytics among Taiwanese people who had contact with more than 3000 passengers that disembarked at Keelung harbor in Taiwan for a 1-day tour on January 31, 2020, 5 days before the outbreak of coronavirus disease (COVID-19) on the Diamond Princess cruise ship on February 5, 2020, after an index case was identified on January 20, 2020.
    Methods: The smart contact tracing-based mobile sensor data, cross-validated by other big sensor surveillance data, were analyzed by the mobile geopositioning method and rapid analysis to identify 627,386 potential contact-persons. Information on self-monitoring and self-quarantine was provided via SMS, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests were offered for symptomatic contacts. National Health Insurance claims big data were linked, to follow-up on the outcome related to COVID-19 among those who were hospitalized due to pneumonia and advised to undergo screening for SARS-CoV-2.
    Results: As of February 29, a total of 67 contacts who were tested by reverse transcription-polymerase chain reaction were all negative and no confirmed COVID-19 cases were found. Less cases of respiratory syndrome and pneumonia were found after the follow-up of the contact population compared with the general population until March 10, 2020.
    Conclusions: Big data analytics with smart contact tracing, automated alert messaging for self-restriction, and follow-up of the outcome related to COVID-19 using health insurance data could curtail the resources required for conventional epidemiological contact tracing.
    MeSH term(s) Betacoronavirus/isolation & purification ; Big Data ; COVID-19 ; Communicable Disease Control ; Contact Tracing/methods ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Disease Outbreaks/prevention & control ; Disease Outbreaks/statistics & numerical data ; Geographic Information Systems ; Humans ; Pandemics/prevention & control ; Pandemics/statistics & numerical data ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; Public Health Surveillance/methods ; Quarantine/methods ; Retrospective Studies ; SARS-CoV-2 ; Ships ; Taiwan/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-05-05
    Publishing country Canada
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1439-4456
    ISSN (online) 1438-8871
    ISSN 1439-4456
    DOI 10.2196/19540
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics

    Chen, Chi-Mai / Jyan, Hong-Wei / Chien, Shih-Chieh / Jen, Hsiao-Hsuan / Hsu, Chen-Yang / Lee, Po-Chang / Lee, Chun-Fu / Yang, Yi-Ting / Chen, Meng-Yu / Chen, Li-Sheng / Chen, Hsiu-Hsi / Chan, Chang-Chuan

    J Med Internet Res

    Abstract: BACKGROUND: Low infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require ... ...

    Abstract BACKGROUND: Low infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require quarantine and isolation. OBJECTIVE: We present here a unique application of big data analytics among Taiwanese people who had contact with more than 3000 passengers that disembarked at Keelung harbor in Taiwan for a 1-day tour on January 31, 2020, 5 days before the outbreak of coronavirus disease (COVID-19) on the Diamond Princess cruise ship on February 5, 2020, after an index case was identified on January 20, 2020. METHODS: The smart contact tracing-based mobile sensor data, cross-validated by other big sensor surveillance data, were analyzed by the mobile geopositioning method and rapid analysis to identify 627,386 potential contact-persons. Information on self-monitoring and self-quarantine was provided via SMS, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests were offered for symptomatic contacts. National Health Insurance claims big data were linked, to follow-up on the outcome related to COVID-19 among those who were hospitalized due to pneumonia and advised to undergo screening for SARS-CoV-2. RESULTS: As of February 29, a total of 67 contacts who were tested by reverse transcription-polymerase chain reaction were all negative and no confirmed COVID-19 cases were found. Less cases of respiratory syndrome and pneumonia were found after the follow-up of the contact population compared with the general population until March 10, 2020. CONCLUSIONS: Big data analytics with smart contact tracing, automated alert messaging for self-restriction, and follow-up of the outcome related to COVID-19 using health insurance data could curtail the resources required for conventional epidemiological contact tracing.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #174968
    Database COVID19

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  4. Article ; Online: Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan

    Chen, Chi-Mai / Jyan, Hong-Wei / Chien, Shih-Chieh / Jen, Hsiao-Hsuan / Hsu, Chen-Yang / Lee, Po-Chang / Lee, Chun-Fu / Yang, Yi-Ting / Chen, Meng-Yu / Chen, Li-Sheng / Chen, Hsiu-Hsi / Chan, Chang-Chuan

    Journal of Medical Internet Research, Vol 22, Iss 5, p e

    Big Data Analytics

    2020  Volume 19540

    Abstract: BackgroundLow infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require ... ...

    Abstract BackgroundLow infection and case-fatality rates have been thus far observed in Taiwan. One of the reasons for this major success is better use of big data analytics in efficient contact tracing and management and surveillance of those who require quarantine and isolation. ObjectiveWe present here a unique application of big data analytics among Taiwanese people who had contact with more than 3000 passengers that disembarked at Keelung harbor in Taiwan for a 1-day tour on January 31, 2020, 5 days before the outbreak of coronavirus disease (COVID-19) on the Diamond Princess cruise ship on February 5, 2020, after an index case was identified on January 20, 2020. MethodsThe smart contact tracing–based mobile sensor data, cross-validated by other big sensor surveillance data, were analyzed by the mobile geopositioning method and rapid analysis to identify 627,386 potential contact-persons. Information on self-monitoring and self-quarantine was provided via SMS, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests were offered for symptomatic contacts. National Health Insurance claims big data were linked, to follow-up on the outcome related to COVID-19 among those who were hospitalized due to pneumonia and advised to undergo screening for SARS-CoV-2. ResultsAs of February 29, a total of 67 contacts who were tested by reverse transcription–polymerase chain reaction were all negative and no confirmed COVID-19 cases were found. Less cases of respiratory syndrome and pneumonia were found after the follow-up of the contact population compared with the general population until March 10, 2020. ConclusionsBig data analytics with smart contact tracing, automated alert messaging for self-restriction, and follow-up of the outcome related to COVID-19 using health insurance data could curtail the resources required for conventional epidemiological contact tracing.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
    Subject code 600
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher JMIR Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Liquid Type Nontoxic Photoluminescent Nanomaterials for High Color Quality White-Light-Emitting Diode.

    Lin, Chih-Hao / Pai, Yung-Min / Lee, Chun-Fu / Verma, Akta / Lin, Huang-Yu / Tu, Chang-Ching / Chen, Xin-Yin / Teng, Hsi-Sheng / Chen, Teng-Ming / Chen, Cheng-Huan / Sher, Chin-Wei / Lee, Po-Tsung / Lin, Chien-Chung / Sharma, S K / Kuo, Hao-Chung

    Nanoscale research letters

    2018  Volume 13, Issue 1, Page(s) 411

    Abstract: High-brightness white-light-emitting diodes (w-LEDs) with excellent color quality is demonstrated by using nontoxic nanomaterials. Previously, we have reported the high color quality w-LEDs with heavy-metal phosphor and quantum dots (QDs), which may ... ...

    Abstract High-brightness white-light-emitting diodes (w-LEDs) with excellent color quality is demonstrated by using nontoxic nanomaterials. Previously, we have reported the high color quality w-LEDs with heavy-metal phosphor and quantum dots (QDs), which may cause environmental hazards. In the present work, liquid-type white LEDs composed of nontoxic materials, named as graphene and porous silicon quantum dots are fabricated with a high color rendering index (CRI) value gain up to 95. The liquid-typed device structure possesses minimized surface temperature and 25% higher value of luminous efficiency as compare to dispensing-typed structure. Further, the as-prepared device is environment friendly and attributed to low toxicity. The low toxicity and high R9 (87) component values were conjectured to produce new or improve current methods toward bioimaging application.
    Language English
    Publishing date 2018-12-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2253244-4
    ISSN 1556-276X ; 1931-7573
    ISSN (online) 1556-276X
    ISSN 1931-7573
    DOI 10.1186/s11671-018-2835-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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