scholarly journals Evaluating quality of data collected by volunteers for first level inspection of hydraulic structures in mountain catchments

2014 ◽  
Vol 2 (5) ◽  
pp. 3577-3614
Author(s):  
V. J. Cortes Arevalo ◽  
M. Charrière ◽  
G. Bossi ◽  
S. Frigerio ◽  
L. Schenato ◽  
...  
Keyword(s):  
Mobile Applications ◽  
Hydraulic Structures ◽  
Future Research ◽  
Quality Of Data ◽  
Preliminary Assessment ◽  
Learning Session ◽  
Learning Group ◽  
Parameter Ratio ◽  
Comparable Performance

Abstract. Volunteers have been trained to perform first level inspections of hydraulic structures within campaigns promoted by Civil Protection of Friuli Venezia Giulia (Italy). Two inspection forms and a learning session were prepared to standardize data collection on the functional status of bridges and check dams. Six structures were inspected by technicians and volunteers. Some participants carried out the inspection without attending the learning session. Thus, we used the mode of technicians in the learning group to distinguish different accuracy levels between volunteers and technicians. Quality of collected data was assessed by their accuracy, precision and completeness. We assigned ordinal scores to the ratings scales in the form for getting indication of the structure status. We also considered performance and feedback of participants to identify corrective actions in survey procedures. Results showed that volunteers could carry out inspections with comparable performance to technicians but with a given range in precision. However, indication of completeness per parameter (ratio Question/Parameter) is still needed for the later examination of inspections, anytime volunteers use unspecified options. Then, volunteers' ratings could be considered as preliminary assessment without replacing other procedures. Future research should consider advantages of mobile applications for the quality of data collected with volunteers.

scholarly journals Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments

2014 ◽  
Vol 14 (10) ◽  
pp. 2681-2698 ◽  
Author(s):  
V. J. Cortes Arevalo ◽  
M. Charrière ◽  
G. Bossi ◽  
S. Frigerio ◽  
L. Schenato ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Mobile Applications ◽  
Rating Scales ◽  
Hydraulic Structures ◽  
Future Research ◽  
Civil Protection ◽  
Learning Session ◽  
Learning Group ◽  
Collection Methods

Abstract. Volunteers have been trained to perform first-level inspections of hydraulic structures within campaigns promoted by civil protection of Friuli Venezia Giulia (Italy). Two inspection forms and a learning session were prepared to standardize data collection on the functional status of bridges and check dams. In all, 11 technicians and 25 volunteers inspected a maximum of six structures in Pontebba, a mountain community within the Fella Basin. Volunteers included civil-protection volunteers, geosciences and social sciences students. Some participants carried out the inspection without attending the learning session. Thus, we used the mode of technicians in the learning group to distinguish accuracy levels between volunteers and technicians. Data quality was assessed by their accuracy, precision and completeness. We assigned ordinal scores to the rating scales in order to get an indication of the structure status. We also considered performance and feedback of participants to identify corrective actions in survey procedures. Results showed that volunteers could perform comparably to technicians, but only with a given range in precision. However, a completeness ratio (question/parameter) was still needed any time volunteers used unspecified options. Then, volunteers' ratings could be considered as preliminary assessments without replacing other procedures. Future research should consider advantages of mobile applications for data-collection methods.

scholarly journals Forecasting of Sporadic Products: Practical and Theoretical Considerations

2020 ◽  
Vol 28 (2) ◽  
pp. 101-110
Author(s):  
Andrea Gelei ◽  
Imre Dobos
Keyword(s):  
Demand Forecasting ◽  
Future Research ◽  
Quality Of Data ◽  
Product Classification ◽  
Zero Values ◽  
Future Research Directions ◽  
Demand Patterns ◽  
Theoretical Considerations

This paper focuses on forecasting of products with sporadic demand. The demand for such products is not continuous but diffused seemingly at random, with a large proportion of zero values in the analyzed time series. The sporadic character of demand patterns actually means that the information available on the demand for previous selling periods is patchy, resulting in lower quality of data available. Under such circumstances demand forecasting is a challenging task. We present the results of a case study, where forecasting practice of a pharmaceutical wholesaler firm –we call it Pharma– is analyzed and developed. We present state-of-the-art knowledge related to demand forecasting of sporadic products and test suggestions related to them. We show that these suggestions can only partly be backed. We extend therefore the suggested product classification scheme and recommend using the concept of demand data aggregation. This will reduce sporadicity and result in higher quality forecasting. Aggregation also helps to specify the recommended forecast period, the length of time recommended to calculate the forecast for. The managerial consequences of these suggestions are also discussed, and future research directions are highlighted.

Effective Measurement of DQ/IQ for BI

2014 ◽  
pp. 236-252
Author(s):  
Arun Thotapalli Sundararaman
Keyword(s):  
Data Quality ◽  
Information Management ◽  
Future Research ◽  
Quality Of Data ◽  
Specific Context ◽  
Research And Practice ◽  
High Interest

DQ/IQ measurement in general and in the specific context of BI has always been a topic of high interest for researchers. The topic of Data Quality (DQ) in the field of Information Management has been well researched, published, and studied. Despite such research advances, there has been very little understanding either from a theoretical or from a practical perspective of DQ/IQ measurement for BI. Assessing the quality of data for a BI System has been one of the major challenges for researchers as well as practitioners, leading to the need for frameworks to measure DQ for BI. The objective of this chapter is to provide an overview of the existing frameworks for measurement of DQ for BI, analyze the gaps therein, review proposed solutions, and provide a direction for future research and practice in this area.

A Comprehensive Rubric for Evaluating EduVR

10.28945/4737 ◽  
2021 ◽  
Vol 20 ◽  
pp. 137-171
Author(s):  
Alex Fegely ◽  
Todd S Cherner
Keyword(s):  
Virtual Reality ◽  
Mobile Devices ◽  
Mobile Applications ◽  
Teacher Educators ◽  
Future Research ◽  
Instructional Coaches ◽  
Level 3 ◽  
Criterion Referenced ◽  
Instructional Application

Aim/Purpose: This article presents a comprehensive rubric for evaluating educational virtual reality experiences for mobile devices. The aim of this article is to systematically analyze research to address the quality of virtual reality experiences on mobile applications in order to extend the work of Lee and Cherner (2015) and their instructional application rubric. Background: Ratings in proprietary mobile application stores – The App Store and Google Play, etc. – are generic and do not provide meaningful evaluations of the virtual reality. This article utilizes research in the areas of virtual reality and education to present a comprehensive rubric for evaluating educational virtual reality for mobile applications, which continues to advance previously published, research-based rubrics. Methodology: The methodology uses a systematic process that spans multiple stages. The first stage was to locate pre-existing rubrics for virtual reality, followed by a review of literature focused on it. The third stage was to develop and vet a research-supported rubric for evaluating educational virtual reality. Contribution: The main contribution from this article is that it fills a gap in the literature by presenting a criterion-referenced, research-supported rubric for evaluating the quality of educational virtual reality for mobile devices (e.g., smartphones, tablets, and app-connected goggles). Findings: This paper’s findings include the domains, dimensions, and criterion-referenced Likert scale indicators in the form of rubric dimensions for evaluating educational virtual reality. The evaluative domains consist of (1) Positioning of the EduVR, (2) Avatar Level, (3) Virtual Environment, and (4) Virtual Experience. Recommendations for Practitioners: This rubric is a tool for instructional coaches, teacher educators, and instructional technologists to use when recommending virtual reality experiences for instructional purposes. Recommendation for Researchers: Researchers can use this tool to monitor the quality of educational virtual reality being developed for classroom use. They can also use this rubric to examine educational virtual reality experiences they would use in their studies and evaluate how those educational virtual reality experiences impact student learning, engagement, and collaboration. Impact on Society: We foresee this rubric being an aid in the development, selection, and purchase of educational virtual reality by educational institutions, educators, researchers, edtech developers, and edu-philanthropists, thus advancing the quality and expectations for educational virtual reality experiences. Future Research: Future researchers can further enhance the validity of this rubric by collecting large amounts of data from a diverse set of end users and stakeholders. Also, subsequent rubrics for evaluating augmented reality and extended reality comprise additional research avenues.

scholarly journals A Survey on Data Perception in Cognitive Internet of Things

2019 ◽  
Vol 3 ◽  
pp. 75-86
Author(s):  
Lokesh B. Bhajantri ◽  
Prashant Balugari
Keyword(s):  
Internet Of Things ◽  
Network Performance ◽  
Fault Tolerant ◽  
Life Time ◽  
Future Research ◽  
Quality Of Data ◽  
Simulation Tools ◽  
Survey Paper ◽  
Cognitive Internet Of Things

A Cognitive Internet of Things (CIoT) is a brand of Internet of Things (IoT) with cognitive and agreeable mechanisms, which are incorporated to advance performance and accomplish insights into real world environments. CIoT can perceive present system’s conditions, analyze the apparent information, make smart choices, and increase the network performance. In this survey paper, we present classifications of data perception techniques used in CIoT. This paper also compares the data perception works against energy consumption, network life-time, resource allocation, and throughput, as well as quality of data and delay. In addition, simulation tools for IoT and their performance are discussed. Finally, we provide the model of cognitive agent-based data perception in CIoT for future research and development, which ensures the network performance in terms of reliability, energy efficient, accuracy, scalable, fault tolerant, and quality of data.

Methods to Monitor and Improve the Performance of Specimen Holders for Transmission Electron Cryomicroscopy

1996 ◽  
Vol 54 ◽  
pp. 454-455
Author(s):  
B. L. Armbruster ◽  
B. Kraus ◽  
M. Pan
Keyword(s):  
Electron Microscopy ◽  
Electron Beam ◽  
Electron Beam Irradiation ◽  
Beam Irradiation ◽  
Quality Of Data ◽  
Electron Cryomicroscopy ◽  
Thermal Equilibration ◽  
Transmission Electron ◽  
Electron Microscopes

One goal in electron microscopy of biological specimens is to improve the quality of data to equal the resolution capabilities of modem transmission electron microscopes. Radiation damage and beam- induced movement caused by charging of the sample, low image contrast at high resolution, and sensitivity to external vibration and drift in side entry specimen holders limit the effective resolution one can achieve. Several methods have been developed to address these limitations: cryomethods are widely employed to preserve and stabilize specimens against some of the adverse effects of the vacuum and electron beam irradiation, spot-scan imaging reduces charging and associated beam-induced movement, and energy-filtered imaging removes the “fog” caused by inelastic scattering of electrons which is particularly pronounced in thick specimens.Although most cryoholders can easily achieve a 3.4Å resolution specification, information perpendicular to the goniometer axis may be degraded due to vibration. Absolute drift after mechanical and thermal equilibration as well as drift after movement of a holder may cause loss of resolution in any direction.

Self-Compassion and Quality of Life in Adults Who Stutter

2020 ◽  
Vol 29 (4) ◽  
pp. 2097-2108
Author(s):  
Robyn L. Croft ◽  
Courtney T. Byrd
Keyword(s):  
Quality Of Life ◽  
Social Connectedness ◽  
The Self ◽  
Future Research ◽  
Self Compassion ◽  
Adults Who Stutter ◽  
And Gender ◽  
Relationship Of ◽  
The Impact

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.

The Relationship Between Interoception and Metacognition

2016 ◽  
Vol 30 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Judith Meessen ◽  
Verena Mainz ◽  
Siegfried Gauggel ◽  
Eftychia Volz-Sidiropoulou ◽  
Stefan Sütterlin ◽  
...  
Keyword(s):  
Memory Performance ◽  
Memory Task ◽  
Demographic Characteristics ◽  
Metacognitive Awareness ◽  
Interoceptive Awareness ◽  
Future Research ◽  
Heartbeat Perception ◽  
Interoceptive Accuracy ◽  
The Relationship

Abstract. Recently, Garfinkel and Critchley (2013) proposed to distinguish between three facets of interoception: interoceptive sensibility, interoceptive accuracy, and interoceptive awareness. This pilot study investigated how these facets interrelate to each other and whether interoceptive awareness is related to the metacognitive awareness of memory performance. A sample of 24 healthy students completed a heartbeat perception task (HPT) and a memory task. Judgments of confidence were requested for each task. Participants filled in questionnaires assessing interoceptive sensibility, depression, anxiety, and socio-demographic characteristics. The three facets of interoception were found to be uncorrelated and interoceptive awareness was not related to metacognitive awareness of memory performance. Whereas memory performance was significantly related to metamemory awareness, interoceptive accuracy (HPT) and interoceptive awareness were not correlated. Results suggest that future research on interoception should assess all facets of interoception in order to capture the multifaceted quality of the construct.

Assessments of User Comments With “Alternative Views” as a Function of Media Trust

2020 ◽  
pp. 1-12
Author(s):  
Marlene Kunst
Keyword(s):  
Online Discussions ◽  
Future Research ◽  
Political Issues ◽  
Argument Quality ◽  
The Public ◽  
Mainstream Media ◽  
User Comments ◽  
Media Trust ◽  
Heuristic Information Processing

Abstract. Comments sections under news articles have become popular spaces for audience members to oppose the mainstream media’s perspective on political issues by expressing alternative views. This kind of challenge to mainstream discourses is a necessary element of proper deliberation. However, due to heuristic information processing and the public concern about disinformation online, readers of comments sections may be inherently skeptical about user comments that counter the views of mainstream media. Consequently, commenters with alternative views may participate in discussions from a position of disadvantage because their contributions are scrutinized particularly critically. Nevertheless, this effect has hitherto not been empirically established. To address this gap, a multifactorial, between-subjects experimental study ( N = 166) was conducted that investigated how participants assess the credibility and argument quality of media-dissonant user comments relative to media-congruent user comments. The findings revealed that media-dissonant user comments are, indeed, disadvantaged in online discussions, as they are assessed as less credible and more poorly argued than media-congruent user comments. Moreover, the findings showed that the higher the participants’ level of media trust, the worse the assessment of media-dissonant user comments relative to media-congruent user comments. Normative implications and avenues for future research are discussed.

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