scholarly journals Event-Related Periodic Interval of Time Data Type

2020 ◽  
Author(s):  
Keyword(s):  
Data Type ◽  
Time Data ◽  
Periodic Interval

scholarly journals Resolving Interoperability Issues of Date with Null Value and Collection of Complex Data Types by Using JADE-WSIG Framework

Webology ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 263-284
Author(s):  
Jaspreet Chawla ◽  
Anil Kr. Ahlawat
Keyword(s):  
Data Structure ◽  
Web Services ◽  
Web Service ◽  
Web Applications ◽  
Data Type ◽  
Complex Data ◽  
Data Types ◽  
Time Data ◽  
Loosely Coupled ◽  
Null Value

In today’s world, the internet and distributed computing make things so convenient that web services can be easily built and fetch from any platform. Web services are loosely coupled, interoperable, and heterogeneous hence they help to connect web applications of different languages. Interoperability is the major factor while transferring web services from one platform to another platform.WS-I basic profile 1.0/1.1 organization provides guidelines to achieve interoperability of web services at a basic level but still, issues arise at a complex level. In this paper, we have discussed and shown the result of two interoperability issues i.e. Date with Null value and Collection of Complex data types of web services using JAVA and.NET environment. In the first issue.NET treat NULL as a value type and JAVA treats NULL as reference type in date-time data type. So, whenever a JAVA client fetches a web service built in.NET it will show a parsable error. In the second issue, a web service data structure contains elements of any type. Whenever, a web service built with the ‘ArrayOfAnyType’ data structure, it can be easily mapped to a.NET client but not to JAVA client. Hence, a data type mismatch issue arises here. To resolve these inter-platform issues, we have used JADE-WSIG as middleware between web services and agent-technology.

Modeling Within-Person Variance in Reaction Time Data of Older Adults

GeroPsych ◽  
2011 ◽  
Vol 24 (4) ◽  
pp. 169-176 ◽  
Author(s):  
Philippe Rast ◽  
Daniel Zimprich
Keyword(s):  
Reaction Time ◽  
Cognitive Aging ◽  
Reaction Times ◽  
Reaction Time Task ◽  
Reaction Time Data ◽  
Scale Model ◽  
Time Data ◽  
Time Task ◽  
The Mean ◽  
Second Wave

In order to model within-person (WP) variance in a reaction time task, we applied a mixed location scale model using 335 participants from the second wave of the Zurich Longitudinal Study on Cognitive Aging. The age of the respondents and the performance in another reaction time task were used to explain individual differences in the WP variance. To account for larger variances due to slower reaction times, we also used the average of the predicted individual reaction time (RT) as a predictor for the WP variability. Here, the WP variability was a function of the mean. At the same time, older participants were more variable and those with better performance in another RT task were more consistent in their responses.

Ambulatory Assessment

2009 ◽  
Vol 14 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Ulrich W. Ebner-Priemer ◽  
Timothy J. Trull
Keyword(s):  
Real Time ◽  
Clinical Psychology ◽  
Real Life ◽  
Ambulatory Assessment ◽  
Computer Assisted ◽  
Affective Valence ◽  
Time Data ◽  
Physiological Processes ◽  
Context Specific ◽  
Questionnaire Studies

Convergent experimental data, autobiographical studies, and investigations on daily life have all demonstrated that gathering information retrospectively is a highly dubious methodology. Retrospection is subject to multiple systematic distortions (i.e., affective valence effect, mood congruent memory effect, duration neglect; peak end rule) as it is based on (often biased) storage and recollection of memories of the original experience or the behavior that are of interest. The method of choice to circumvent these biases is the use of electronic diaries to collect self-reported symptoms, behaviors, or physiological processes in real time. Different terms have been used for this kind of methodology: ambulatory assessment, ecological momentary assessment, experience sampling method, and real-time data capture. Even though the terms differ, they have in common the use of computer-assisted methodology to assess self-reported symptoms, behaviors, or physiological processes, while the participant undergoes normal daily activities. In this review we discuss the main features and advantages of ambulatory assessment regarding clinical psychology and psychiatry: (a) the use of realtime assessment to circumvent biased recollection, (b) assessment in real life to enhance generalizability, (c) repeated assessment to investigate within person processes, (d) multimodal assessment, including psychological, physiological and behavioral data, (e) the opportunity to assess and investigate context-specific relationships, and (f) the possibility of giving feedback in real time. Using prototypic examples from the literature of clinical psychology and psychiatry, we demonstrate that ambulatory assessment can answer specific research questions better than laboratory or questionnaire studies.

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