HV-KIC property charts of cemented carbides: A comprehensive data collection

Author(s):  
Andrei Chychko ◽  
José García ◽  
Verónica Collado Ciprés ◽  
Erik Holmström ◽  
Andreas Blomqvist
Author(s):  
Danilo M. Baylen ◽  
O. P. Cooper

Studying social media's presence and prevalence of use in a specific context can be challenging to researchers who may need a comprehensive data collection strategy and sizable amount of resources. Using a population of university libraries' special collections websites based on purposive sampling strategy, the researchers want to find out how social media is used or integrated in the delivery of special collections services. The findings provided an opportunity for researchers to discuss the importance of creating a model for designing an expanded study, and for generating preliminary ideas pertaining to development of policies relevant to the integration of social media particularly in special collections, and in academic libraries as a whole.


2014 ◽  
Vol 543-547 ◽  
pp. 2706-2710
Author(s):  
Qing Fang Zhou ◽  
Si Gui Xu

The application scheme of Campus Smart Card System is analyzed, and its design aim and development principle of the functional modules are introduced. campus smart card system on 3G technology which is one of the important parts in campus digitalization. It offers comprehensive data collection and excellent information sharing environment. Its realization will promote the information management of the school and increase construction process of digital campus.


2020 ◽  
Vol 25 (5) ◽  
pp. 929-936 ◽  
Author(s):  
Naoto Sassa ◽  
Yukihiro Yokoyama ◽  
Yoshihiro Nishida ◽  
Suguru Yamada ◽  
Hiroo Uchida ◽  
...  

Author(s):  
Florian Kurth ◽  
Maria Roennefarth ◽  
Charlotte Thibeault ◽  
Victor M. Corman ◽  
Holger Müller-Redetzky ◽  
...  

AbstractPurposeSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread worldwide causing a global health emergency. Pa-COVID-19 aims to provide comprehensive data on clinical course, pathophysiology, immunology and outcome of COVID-19, in order to identify prognostic biomarkers, clinical scores, and therapeutic targets for improved clinical management and preventive interventions.MethodsPa-COVID-19 is a prospective observational cohort study of patients with confirmed SARS-CoV-2 infection treated at Charité - Universitätsmedizin Berlin. We collect data on epidemiology, demography, medical history, symptoms, clinical course, pathogen testing and treatment. Systematic, serial blood sampling will allow deep molecular and immunological phenotyping, transcriptomic profiling, and comprehensive biobanking. Longitudinal data and sample collection during hospitalization will be supplemented by long-term follow-up.ResultsOutcome measures include the WHO clinical ordinal scale on day 15 and clinical, functional and health-related quality of life assessments at discharge and during follow-up. We developed a scalable dataset to (i) suit national standards of care (ii) facilitate comprehensive data collection in medical care facilities with varying resources and (iii) allow for rapid implementation of interventional trials based on the standardized study design and data collection. We propose this scalable protocol as blueprint for harmonized data collection and deep phenotyping in COVID-19 in Germany.ConclusionWe established a basic platform for harmonized, scalable data collection, pathophysiological analysis, and deep phenotyping of COVID-19, which enables rapid generation of evidence for improved medical care and identification of candidate therapeutic and preventive strategies. The electronic database accredited for interventional trials allows fast trial implementation for candidate therapeutic agents.


2019 ◽  
Vol 17 (1/2) ◽  
pp. 7-13 ◽  
Author(s):  
Mark Andrejevic

This article considers the changing logics of surveillance in the era of automated data collection and processing. It argues that automation results in the emergence of post-disciplinary forms of monitoring that no longer rely on the subject’s internalization of the monitoring gaze. Such forms of monitoring do not displace other forms of surveillance but represent a new development made possible by the promise that comprehensive data collection will allow prediction and pre-emption to replace deterrence. In the context of predictive analytics, simulated futures serve as the basis for ongoing processes of intervention that take place in the present. The parsimony of the panopticon, which traded on the uncertainty provided by its partial gaze, is replaced by the tendency toward comprehensive monitoring associated with the proliferation of distributed, embedded, always-on sensing networks. The resulting forms of automated surveillance are characterized by post-representational logics that I describe in terms of operationalism, environmentality, and framelessness.


2006 ◽  
Vol 1 (2) ◽  
pp. 115-129 ◽  
Author(s):  
Gregg Tally ◽  
David Sames ◽  
Thomas Chen ◽  
Chris Colleran ◽  
David Jevans ◽  
...  

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