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Book: Hsiao mai hsiu ping chi chʻi fang chih

Li, Chen-chʻi / Shang, Hung-sheng

(Nung tso wu ping chʻung hai chi chʻi fang chih tsʻung shu)

1989

Author's details	Li Chen-chʻi, Shang Hung-sheng pien chu
Series title	Nung tso wu ping chʻung hai chi chʻi fang chih tsʻung shu
Keywords	Wheat rusts. ; Wheat rusts/Control.
Language	Chinese
Size	2, 2, 237 p. :, ill. ;, 19 cm.
Edition	Ti 1 pan.
Publisher	Shang-hai kʻo hsüeh chi shu chʻu pan she ; Hsin hua shu tien Shang-hai fa hsing so fa hsing
Publishing place	Shang-hai
Document type	Book
ISBN	7532303241 ; 9787532303243
Database	NAL-Catalogue (AGRICOLA)

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Article: [Prelimary study on Zu Bi Shi Yi Mai Jiu Jing, the silk writing unearthed in Ma Wang Dui] (Chi).

Chen, G

Zhonghua yi shi za zhi (Beijing, China : 1980)

1987 Volume 17, Issue 4, Page(s) 242–247

MeSH term(s)	China ; History, Ancient ; History, Early Modern 1451-1600 ; History, Medieval ; History, Modern 1601- ; Manuscripts as Topic/history
Language	Chinese
Publishing date	1987
Publishing country	China
Document type	Historical Article ; Journal Article
ZDB-ID	1052411-3
ISSN	0255-7053
ISSN	0255-7053
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 4688: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Book: Hsiao mai kao chʻan tsai pʻei chi shu

Yü, Chen-wen

1986

Institution	Shan-tung sheng kʻo hsüeh chi shu hsieh hui
Author's details	Shan-tung sheng kʻo hsüeh chi shu hsieh hui chu pien ; Yü Chen-wen pien
Keywords	Wheat
Language	Chinese
Size	2, 9, 110 p. :, ill. ;, 19 cm.
Edition	Ti 1 pan.
Publisher	Chung-kuo chʻing nien chʻu pan she
Publishing place	Pei-ching
Document type	Book
Note	"Nung tsʻun kʻo pʻu pʻei hsün chiao tsʻai."
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Climate velocities and species tracking in global mountain regions.

Chan, Wei-Ping / Lenoir, Jonathan / Mai, Guan-Shuo / Kuo, Hung-Chi / Chen, I-Ching / Shen, Sheng-Feng

Nature

2024

Abstract: Mountain ranges contain high concentrations of endemic species and are indispensable refugia for lowland species that are facing anthropogenic climate ... ...

Abstract	Mountain ranges contain high concentrations of endemic species and are indispensable refugia for lowland species that are facing anthropogenic climate change
Language	English
Publishing date	2024-03-27
Publishing country	England
Document type	Journal Article
ZDB-ID	120714-3
ISSN	1476-4687 ; 0028-0836
ISSN (online)	1476-4687
ISSN	0028-0836
DOI	10.1038/s41586-024-07264-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 26: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MG 9: Show issues
Zs.MO 244: Show issues

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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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Article: A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening

Chun-Fu Yeh / Hsien-Tzu Cheng / Andy Wei / Keng-Chi Liu / Mong-Chi Ko / Po-Chen Kuo / Ray-Jade Chen / Po-Chang Lee / Jen-Hsiang Chuang / Chi-Mai Chen / Nai-Kuan Chou / Yeun-Chung Chang / Kuan-Hua Chao / Yi-Chin Tu / Tyng-Luh Liu

Abstract: We introduce a comprehensive screening platform for the COVID-19 (a.k.a., SARS-CoV-2) pneumonia. The proposed AI-based system works on chest x-ray (CXR) images to predict whether a patient is infected with the COVID-19 disease. Although the recent ... ...

Abstract	We introduce a comprehensive screening platform for the COVID-19 (a.k.a., SARS-CoV-2) pneumonia. The proposed AI-based system works on chest x-ray (CXR) images to predict whether a patient is infected with the COVID-19 disease. Although the recent international joint effort on making the availability of all sorts of open data, the public collection of CXR images is still relatively small for reliably training a deep neural network (DNN) to carry out COVID-19 prediction. To better address such inefficiency, we design a cascaded learning strategy to improve both the sensitivity and the specificity of the resulting DNN classification model. Our approach leverages a large CXR image dataset of non-COVID-19 pneumonia to generalize the original well-trained classification model via a cascaded learning scheme. The resulting screening system is shown to achieve good classification performance on the expanded dataset, including those newly added COVID-19 CXR images.
Keywords	covid19
Publisher	arxiv
Document type	Article
Database	COVID19

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Article ; Online: Self-Assembled Monolayers of Bi-Functionalized Porphyrins: A Novel Class of Hole-Layer-Coordinating Perovskites and Indium Tin Oxide in Inverted Solar Cells.

Hung, Chieh-Ming / Mai, Chi-Lun / Wu, Chi-Chi / Chen, Bo-Han / Lu, Chih-Hsuan / Chu, Che-Chun / Wang, Meng-Chuan / Yang, Shang-Da / Chen, Hsieh-Chih / Yeh, Chen-Yu / Chou, Pi-Tai

Angewandte Chemie (International ed. in English)

2023 Volume 62, Issue 40, Page(s) e202309831

Abstract: Self-assembled monolayers (SAMs) offer the advantage of facile interfacial modification, leading to significant improvements in device performance. In this study, we report the design and synthesis of a new series of carboxylic acid-functionalized ... ...

Abstract	Self-assembled monolayers (SAMs) offer the advantage of facile interfacial modification, leading to significant improvements in device performance. In this study, we report the design and synthesis of a new series of carboxylic acid-functionalized porphyrin derivatives, namely AC-1, AC-3, and AC-5, and present, for the first time, a strategy to exploit the large π-moiety of porphyrins as a backbone for interfacing the indium tin oxide (ITO) electrode and perovskite active layer in an inverted perovskite solar cell (PSC) configuration. The electron-rich nature of porphyrins facilitates hole transfer and the formation of SAMs, resulting in a dense surface that minimizes defects. Comprehensive spectroscopic and dynamic studies demonstrate that the double-anchored AC-3 and AC-5 enhance SAMs on ITO, passivate the perovskite layer, and function as conduits to facilitate hole transfer, thus significantly boosting the performance of PSCs. The champion inverted PSC employing AC-5 SAM achieves an impressive solar efficiency of 23.19 % with a high fill factor of 84.05 %. This work presents a novel molecular engineering strategy for functionalizing SAMs to tune the energy levels, molecular dipoles, packing orientations to achieve stable and efficient solar performance. Importantly, our comprehensive investigation has unraveled the associated mechanisms, offering valuable insights for future advancements in PSCs.
Language	English
Publishing date	2023-08-29
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2011836-3
ISSN	1521-3773 ; 1433-7851
ISSN (online)	1521-3773
ISSN	1433-7851
DOI	10.1002/anie.202309831
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Antibody-Conjugated Nanodiamonds as Dual-Functional Immunosensors for In Vitro Diagnostics.

Le, Trong-Nghia / Chen, Hsin-Yi / Lam, Xuan Mai / Wang, Chi-Chia / Chang, Huan-Cheng

Analytical chemistry

2023 Volume 95, Issue 32, Page(s) 12080–12088

Abstract: Nanodiamonds (NDs) are carbon nanoparticles with a large refractive index, a high density, and exceptional chemical stability. When excited by green light, they can emit bright red fluorescence from implanted nitrogen-vacancy (NV) centers. Taking ... ...

Abstract	Nanodiamonds (NDs) are carbon nanoparticles with a large refractive index, a high density, and exceptional chemical stability. When excited by green light, they can emit bright red fluorescence from implanted nitrogen-vacancy (NV) centers. Taking advantage of these properties, we have developed antibody-conjugated NDs as in vitro diagnostic sensors for two complementary assays: particle-enhanced turbidimetric immunoassay (PETIA) and spin-enhanced lateral flow immunoassay (SELFIA). To achieve this goal, monocrystalline diamond powders (∼100 nm in diameter) with or without NV implantation were first treated in molten KNO
MeSH term(s)	Nanodiamonds/chemistry ; Biosensing Techniques ; Immunoassay ; Diamond ; Immunoconjugates ; Nitrogen/chemistry ; Antibodies
Chemical Substances	Nanodiamonds ; Diamond (7782-40-3) ; Immunoconjugates ; Nitrogen (N762921K75) ; Antibodies
Language	English
Publishing date	2023-08-03
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1508-8
ISSN	1520-6882 ; 0003-2700
ISSN (online)	1520-6882
ISSN	0003-2700
DOI	10.1021/acs.analchem.3c02112
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 4033: Show issues

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Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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

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

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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