Usage Analytics: A Process to Extract and Analyse Usage Data to Understand User Behaviour in Cloud

2019 ◽  
pp. 109-124
Author(s):  
Manoj Kesavulu ◽  
Duc-Tien Dang-Nguyen ◽  
Marija Bezbradica ◽  
Markus Helfert
Keyword(s):  
User Behaviour ◽  
Usage Data

The Fatigue Life Assessment of PZL-130 Orlik Structures Based on Historical Usage Data

2009 ◽  
Vol 2009 (1) ◽  
Author(s):  
Andrzej Leski ◽  
Sławomir Klimaszewski ◽  
Marcin Kurdelski
Keyword(s):  
Fatigue Life ◽  
Life Assessment ◽  
Fatigue Life Assessment ◽  
Historical Usage ◽  
Usage Data

Painting a Spring 2020 library portrait with collection usage data

2020 ◽  
Author(s):  
Rebecca Lubas ◽  
Sydney Thompson ◽  
Lauren Wittek
Keyword(s):  
Usage Data

A Semi-supervised Approach for Abnormal User Behaviour Detection in Network

2018 ◽  
Vol 6 (8) ◽  
pp. 25-29
Author(s):  
Nandit Malviya ◽  
Mukta S. Takalikar
Keyword(s):  
User Behaviour

Future Water Demands: The Role of Technology and User Behaviour

2013 ◽  
Author(s):  
Dexter Hunt ◽  
Sarah Zadeh ◽  
Chris Rogers
Keyword(s):  
User Behaviour ◽  
Water Demands

scholarly journals Estimating mouse and rat use in American laboratories by extrapolation from Animal Welfare Act-regulated species

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Larry Carbone
Keyword(s):  
United States ◽  
Animal Welfare ◽  
The United States ◽  
Animal Research ◽  
Government Agencies ◽  
Laboratory Rats ◽  
Tier System ◽  
Western Nations ◽  
Rats And Mice ◽  
Usage Data

AbstractAlone among Western nations, the United States has a two-tier system for welfare protections for vertebrate animals in research. Because its Animal Welfare Act (AWA) excludes laboratory rats and mice (RM), government veterinarians do not inspect RM laboratories and RM numbers are only partially reported to government agencies1. Without transparent statistics, it is impossible to track efforts to reduce or replace these sentient animals’ use or to project government resources needed if AWA coverage were expanded to include them. I obtained annual RM usage data from 16 large American institutions and compared RM numbers to institutions’ legally-required reports of their AWA-covered mammals. RM comprised approximately 99.3% of mammals at these representative institutions. Extrapolating from 780,070 AWA-covered mammals in 2017–18, I estimate that 111.5 million rats and mice were used per year in this period. If the same proportion of RM undergo painful procedures as are publicly reported for AWA-covered animals, then some 44.5 million mice and rats underwent potentially painful experiments. These data inform the questions of whether the AWA needs an update to cover RM, or whether the NIH should increase transparency of funded animal research. These figures can benchmark progress in reducing animal numbers in general and more specifically, in painful experiments. This estimate is higher than any others available, reflecting the challenges of obtaining statistics without consistent and transparent institutional reports.

scholarly journals The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Yadgar Taha M. Hamakhan
Keyword(s):  
Structural Equation ◽  
Academic Staff ◽  
Individual Factors ◽  
Kurdistan Region ◽  
Electronic Banking ◽  
Online Questionnaire ◽  
User Behaviour ◽  
The Relationship ◽  
Moderating Role

Abstract The popularity of self-service technologies, particularly in the banking industry, more precisely with electronic banking channel services, has undergone a major change as individuals' lifestyles develop. This change has affected individuals’ decisions about accepting any new Information Technology, and Information Communications Technology services that are electronically mediated, for example, E-Banking channel services. This study investigates the effect of Individual Factors on User Behaviour, and the moderating role of Trust in the relationship between Individual Factors, and User Behaviour based on the Unified Theory of Acceptance and Use of Technology. This research proposes a model, with a second-order components research framework. It improves current explanations of the acceptance of electronic banking channel services. Furthermore, this study highlights the role of trust on the acceptance of electronic banking channel services, which is the most crucial consideration in customers’ decisions to accept electronic banking channels services. Thus, trust is the spine of the system in the Kurdistan Region of Iraq. Data were collected using an online questionnaire that received 476 valid responses from academic staff who work at the University of Sulaimani. The model tested data using the Partial Least Squares-Structural Equation Modelling approach. The results show that Individual Factors have a positive effect on User Behaviour. Besides, results show that trust moderates the relationship between Individual Factors and User Behaviour.

scholarly journals Point Me In the Right Direction: Understanding User Behaviour with As-The-Crow-Flies Navigation

2020 ◽  
Author(s):  
Gian-Luca Savino ◽  
Laura Meyer ◽  
Eve Emily Sophie Schade ◽  
Thora Tenbrink ◽  
Johannes Schöning
Keyword(s):  
User Behaviour ◽  
The Right
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