scholarly journals Frequency of Laboratory Test Utilization in the Intensive Care Unit and Its Implications for Large-Scale Data Collection Efforts

2004 ◽  
Vol 12 (2) ◽  
pp. 229-233 ◽  
Author(s):  
J. J. Frassica
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Data Collection ◽  
Laboratory Test ◽  
Large Scale ◽  
Large Scale Data ◽  
Scale Data

Exploration of Tourist Activities in Urban Destination Using Venue Check-In Data

2019 ◽  
Vol 44 (3) ◽  
pp. 472-498
Author(s):  
Huy Quan Vu ◽  
Jian Ming Luo ◽  
Gang Li ◽  
Rob Law
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Traditional Approach ◽  
Urban Tourism ◽  
Data Set ◽  
Tourism Marketing ◽  
Large Scale Data ◽  
New Type ◽  
Scale Data

Understanding the differences and similarities in the activities of tourists from various cultures is important for tourism managers to develop appropriate plans and strategies that could support urban tourism marketing and managements. However, tourism managers still face challenges in obtaining such understanding because the traditional approach of data collection, which relies on survey and questionnaires, is incapable of capturing tourist activities at a large scale. In this article, we present a method for the study of tourist activities based on a new type of data, venue check-ins. The effectiveness of the presented approach is demonstrated through a case study of a major tourism country, France. Analysis based on a large-scale data set from 19 tourism cities in France reveals interesting differences and similarities in the activities of tourists from 14 markets (countries). Valuable insights are provided for various urban tourism applications.

scholarly journals MicroED data collection with SerialEM

2018 ◽  
Author(s):  
M. Jason de la Cruz ◽  
Michael W. Martynowycz ◽  
Johan Hattne ◽  
Tamir Gonen
Keyword(s):  
Data Collection ◽  
High Throughput ◽  
Large Scale ◽  
Large Scale Data ◽  
Data Analyses ◽  
Continuous Rotation ◽  
Scale Data

AbstractWe developed a procedure for the cryoEM method MicroED using SerialEM. With this approach, SerialEM coordinates stage rotation, microscope operation, and camera functions for automated continuous-rotation MicroED data collection. More than 300 datasets can be collected overnight in this way, facilitating high-throughput MicroED data collection for large-scale data analyses.

scholarly journals Mass customization capability

2013 ◽  
Vol 16 (2) ◽  
pp. 5-15
Author(s):  
Toan Khanh Vo ◽  
Hung Nguyen Bui
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Mass Customization ◽  
Large Scale ◽  
Supplier Integration ◽  
Large Scale Data ◽  
Data Collection And Analysis ◽  
Product Modularity ◽  
Initial Results ◽  
Scale Data

This paper aims to evaluate the reliability, validity and unidimentionality of the scales. A prepilot study was completed that involved three manufacturing managers and four academic experts to improve content validity. A pilot study was then completed that 108 middle and senior manufacturing managers in HCM City and neighboring provinces. Cronbach’s alpha and EFA analysis was used to assess the reliability validity and unidimentionality of the scales. The initial results show that mass customization capability, product modularity, supplier integration may have reliability, validity and unidimentionality; customer integration may not have unidimentionality. Therefore, large-scale data collection and analysis will have collected and analyzed to validate the instruments, test the model and research hypotheses.

scholarly journals Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform

2019 ◽  
Vol 16 (4) ◽  
pp. 427-436 ◽  
Author(s):  
Simone Hantke ◽  
Tobias Olenyi ◽  
Christoph Hausner ◽  
Tobias Appel ◽  
Björn Schuller
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Large Scale Data ◽  
Data Collection And Analysis ◽  
Scale Data

The Prediction of Airflow Generated Noise in Ventilation Systems

1997 ◽  
Vol 4 (4) ◽  
pp. 275-294 ◽  
Author(s):  
C.M. Mak ◽  
D.C. Waddington ◽  
D.J. Oldham
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Noise Source ◽  
Ventilation System ◽  
Measured Data ◽  
Accurate Prediction ◽  
Long Period ◽  
Large Scale Data ◽  
Scale Data ◽  
Ventilation Systems

At long distances from the primary noise source (the fan) of a ventilation system, airflow generated noise from duct fittings can become the major noise problem. There exists only a limited amount of measured data on flow generated noise produced by some in-duct elements such as bends and transition pieces. This lack of data reflects the difficulty in obtaining such information from conventional measurements techniques. As an alternative to large scale data collection, attempts have been made to develop pressure-based techniques for predicting the flow generated noise in a duct. In this paper it is shown that the work of a number of investigators over a long period of time has resulted in the development of techniques for the accurate prediction of flow generated noise due to duct components.

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