scholarly journals Using Multivariate Statistical Methods to Analyze High-Quality Bicycle Path Service Systems: A Case Study of Popular Bicycle Paths in Taiwan

2020 ◽  
Vol 12 (17) ◽  
pp. 7185
Author(s):  
Shinn-Jou Lin ◽  
Guey-Shin Shyu ◽  
Wei-Ta Fang ◽  
Bai-You Cheng
Keyword(s):  
Explanatory Power ◽  
Value Added ◽  
Service Systems ◽  
Image Management ◽  
High Quality ◽  
Multivariate Statistical ◽  
The Individual ◽  
Quantitative Indicators

Taiwan has promoted bicycle tourism for nearly 20 years, and the bicycle paths it has constructed throughout the island are diverse in design. In the present study, an evaluation scale for bicycle path sightseeing potential was devised with a focus on the overall service quality of the paths; 30 popular bicycle paths were analyzed using a field survey, with expert consultation on quantitative indicators, and a qualitative analysis entailing interviews with people regarding the bicycle paths. A multivariate statistical analysis was performed on the quality of the service systems for these paths. The results revealed that the quality of these service systems is influenced by four principal components, namely, landscape attractiveness, image management, bicycle-specific paths, and accessibility, for a total explanatory power of 76.21%; the individual explanatory power of these components was 25.89%, 21.49%, 16.81%, and 12.03%, respectively. Bicycle path conditions, service maintenance, and cleanliness and bicycle specificity are required for future high-quality bicycle paths; diverse bicycle rental services and bicycle types, entrance visibility, and ecological introduction boards along paths are value-added factors to bicycle path quality.

scholarly journals Using the Google™ Search Engine for Health Information: Is There a Problem? Case Study: Supplements for Cancer

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Hannah C Cai ◽  
Leanne E King ◽  
Johanna T Dwyer
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Information Quality ◽  
Nutrition Information ◽  
High Quality ◽  
Search Results ◽  
Health And Nutrition ◽  
Quality Rating

ABSTRACT We assessed the quality of online health and nutrition information using a Google™ search on “supplements for cancer”. Search results were scored using the Health Information Quality Index (HIQI), a quality-rating tool consisting of 12 objective criteria related to website domain, lack of commercial aspects, and authoritative nature of the health and nutrition information provided. Possible scores ranged from 0 (lowest) to 12 (“perfect” or highest quality). After eliminating irrelevant results, the remaining 160 search results had median and mean scores of 8. One-quarter of the results were of high quality (score of 10–12). There was no correlation between high-quality scores and early appearance in the sequence of search results, where results are presumably more visible. Also, 496 advertisements, over twice the number of search results, appeared. We conclude that the Google™ search engine may have shortcomings when used to obtain information on dietary supplements and cancer.

An open-source R-package and web application for high-quality probabilistic predictions in hydrology

2021 ◽  
Author(s):  
Jason Hunter ◽  
Mark Thyer ◽  
Dmitri Kavetski ◽  
David McInerney
Keyword(s):  
Open Source ◽  
Web Application ◽  
R Package ◽  
Error Model ◽  
Objective Functions ◽  
High Quality ◽  
Wide Range ◽  
Probabilistic Error

<p>Probabilistic predictions provide crucial information regarding the uncertainty of hydrological predictions, which are a key input for risk-based decision-making. However, they are often excluded from hydrological modelling applications because suitable probabilistic error models can be both challenging to construct and interpret, and the quality of results are often reliant on the objective function used to calibrate the hydrological model.</p><p>We present an open-source R-package and an online web application that achieves the following two aims. Firstly, these resources are easy-to-use and accessible, so that users need not have specialised knowledge in probabilistic modelling to apply them. Secondly, the probabilistic error model that we describe provides high-quality probabilistic predictions for a wide range of commonly-used hydrological objective functions, which it is only able to do by including a new innovation that resolves a long-standing issue relating to model assumptions that previously prevented this broad application.  </p><p>We demonstrate our methods by comparing our new probabilistic error model with an existing reference error model in an empirical case study that uses 54 perennial Australian catchments, the hydrological model GR4J, 8 common objective functions and 4 performance metrics (reliability, precision, volumetric bias and errors in the flow duration curve). The existing reference error model introduces additional flow dependencies into the residual error structure when it is used with most of the study objective functions, which in turn leads to poor-quality probabilistic predictions. In contrast, the new probabilistic error model achieves high-quality probabilistic predictions for all objective functions used in this case study.</p><p>The new probabilistic error model and the open-source software and web application aims to facilitate the adoption of probabilistic predictions in the hydrological modelling community, and to improve the quality of predictions and decisions that are made using those predictions. In particular, our methods can be used to achieve high-quality probabilistic predictions from hydrological models that are calibrated with a wide range of common objective functions.</p>

Researchers' judgment criteria of high-quality answers on academic social Q&A platforms

2020 ◽  
Vol 44 (3) ◽  
pp. 603-623 ◽  
Author(s):  
Lei Li ◽  
Chengzhi Zhang ◽  
Daqing He ◽  
Jia Tina Du
Keyword(s):  
Design Methodology ◽  
Information Science ◽  
Value Added ◽  
Quality Criteria ◽  
Social Networking Site ◽  
Library And Information Science ◽  
High Quality ◽  
Content Type ◽  
Second Stage

PurposeThrough a two-stage survey, this paper examines how researchers judge the quality of answers on ResearchGate Q&A, an academic social networking site.Design/methodology/approachIn the first-stage survey, 15 researchers from Library and Information Science (LIS) judged the quality of 157 answers to 15 questions and reported the criteria that they had used. The content of their reports was analyzed, and the results were merged with relevant criteria from the literature to form the second-stage survey questionnaire. This questionnaire was then completed by researchers recognized as accomplished at identifying high-quality LIS answers on ResearchGate Q&A.FindingsMost of the identified quality criteria for academic answers—such as relevance, completeness, and verifiability—have previously been found applicable to generic answers. The authors also found other criteria, such as comprehensiveness, the answerer's scholarship, and value-added. Providing opinions was found to be the most important criterion, followed by completeness and value-added.Originality/valueThe findings here show the importance of studying the quality of answers on academic social Q&A platforms and reveal unique considerations for the design of such systems.

SAFE MOORING OF LARGE CONTAINER SHIPS AT QUAY WALLS SUBJECT TO PASSING SHIP EFFECTS

2021 ◽  
Vol 159 (A4) ◽  
Author(s):  
T Van Zwijnsvoorde ◽  
M Vantorre
Keyword(s):  
Design Parameter ◽  
Operational Parameter ◽  
The Individual ◽  
Large Container

Container traffic and individual ships’ sizes increased dramatically over the last decades, testing the existing harbour infrastructure to its limits. An important aspect regarding the safety of the berthed vessel is the quality of the mooring configuration. A case study is presented, where an 18000 TEU container vessel is moored at a quay. The motions of the moored vessel and the forces in its lines due to ship passages are simulated, using the potential software ROPES and the UGent in-house package Vlugmoor. Focus is on the mooring plan (operational parameter) and the characteristics of the individual lines (design parameter).

Post-unification (East) German Documentary and the Contradictions of Identity

2015 ◽  
Author(s):  
Barton Byg
Keyword(s):  
West Germany ◽  
Berlin Wall ◽  
Post Cold War ◽  
East And West Germany ◽  
East German ◽  
Innovative Enterprise ◽  
East And West ◽  
The Individual

This chapter focuses on the three major themes that have helped make the integration between East and West German documentary filmmakers successful and have contributed new strengths to German independent documentary as a productive and innovative enterprise. It first illustrates the phenomenon of collaboration between filmmakers from both East and West Germany, which preceded the fall of the Berlin Wall and provides the basis for unique accomplishments in documentary. Then, partly based on these East–West collaborations, it discuss examples of German documentary's frequent explorations of non-European topics, which challenge the clear separation of European and non-European in both politics and film art. Here, the film collaborations between Helga Reidemeister and Lars Barthel will serve as a case study. Finally, also as a result of decades of experimentation with the nature of the film medium's presentation of ‘reality’, ‘history’, and the individual human subject, Thomas Heise's German ‘portrait film’ Barluschke (1997) is explored as an example of this defining quality of independent German documentary filmmaking in the context of the post-Cold War.

scholarly journals Individual psychological characteristics of personality as correlates of executive activity of university students

2019 ◽  
Vol 70 ◽  
pp. 07007
Author(s):  
Alana Uzdenova
Keyword(s):  
Quality Of Life ◽  
High Efficiency ◽  
Personality Development ◽  
Psychological Characteristics ◽  
Professional Activity ◽  
Emotional Lability ◽  
High Quality ◽  
Definition Of ◽  
The Individual

The theory of the executive activity of a personality and the ability to determine its correlates are analyzed. High efficiency executive activity is considered as a predictor of a high quality of life and professional activity of an individual. The results of the study of the individual psychological properties of the personality associated with the characteristics of performing activities are presented. A combination of properties is highlighted: irritability, sociability, extraversion, which positively affect the type of execution. They form a triad closely associated with all the properties of executive activities. Some personality properties that inhibit the development of characteristics necessary for effectiveness are identified. Aggressiveness and high emotional lability are characteristic of students with low responsibility. According to the research results, mutually exclusive properties are organization and openness. The definition of determinants and correlates of performing activities opens up opportunities for psychologists and educators to create spaces for the development of a highly effective personality. Executive activity is a system construct. Understanding its structure allows us to see its flexibility and form individual trajectories of learning and personality development.

scholarly journals Soil Mapping Based on the Integration of the Similarity-Based Approach and Random Forests

Land ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 174
Author(s):  
Desheng Wang ◽  
A-Xing Zhu
Keyword(s):  
Random Forests ◽  
Cross Validation ◽  
Soil Mapping ◽  
High Quality ◽  
Integrated Method ◽  
Average Accuracy ◽  
Soil Information ◽  
Fold Cross Validation

Digital soil mapping (DSM) is currently the primary framework for predicting the spatial variation of soil information (soil type or soil properties). Random forests and similarity-based methods have been used widely in DSM. However, the accuracy of the similarity-based approach is limited, and the performance of random forests is affected by the quality of the feature set. The objective of this study was to present a method for soil mapping by integrating the similarity-based approach and the random forests method. The Heshan area (Heilongjiang province, China) was selected as the case study for mapping soil subgroups. The results of the regular validation samples showed that the overall accuracy of the integrated method (71.79%) is higher than that of a similarity-based approach (58.97%) and random forests (66.67%). The results of the 5-fold cross-validation showed that the overall accuracy of the integrated method, similarity-based approach, and random forests range from 55% to 72.73%, 43.48% to 69.57%, and 54.17% to 70.83%, with an average accuracy of 66.61%, 57.39%, and 59.62%, respectively. These results suggest that the proposed method can produce a high-quality covariate set and achieve a better performance than either the random forests or similarity-based approach alone.

Optimization of Gross Margin in Outsourcing of Management of Inventory of Spare Parts of Production Equipment

2014 ◽  
Vol 708 ◽  
pp. 173-177
Author(s):  
Stanisław Brzeziński ◽  
Katarzyna Grondys
Keyword(s):  
Value Added ◽  
Research Problem ◽  
Spare Parts ◽  
Production Equipment ◽  
Gross Margin ◽  
The Subject ◽  
The Individual

The subject of the paper is the presentation of the case-study of the company outsourcing the spare parts stock. As the result of the changes in the agreement between the outsourcer and the large commissioning company, the task of the outsourcing company was to standardize the margin for the individual groups of products, so far highly diversified. The research problem was to analyze the development of margins using CVA (Cash Value Added) analysis and to establish such a level of the above which will satisfy the client’s requirements and provide further employment and generating profit for the outsourcing company.

scholarly journals Who Participates in Popular Feasts and Festivals? An Empirical Approach from Cultural Economics Applied to the Carnival of Barranquilla (Colombia)

2021 ◽  
Vol 68 ◽  
pp. 79-103
Author(s):  
Aaron Espinosa Espinosa ◽  
Luis Palma Martos ◽  
Luis Aguado Quintero
Keyword(s):  
Choice Model ◽  
Context Variables ◽  
Development Plans ◽  
Individual Decisions ◽  
The Individual ◽  
The Empirical Analysis ◽  
Perception Survey ◽  
Individual Participation

The empirical analysis of individual participation in local and popular feasts and festivals is a field little explored by cultural economists. This article proposes a methodological scheme to analyse the profile of the participants in local and popular feasts and carnivals, allowing the establishment of a taxonomy that captures the heterogeneity of the participants replicable to other festivities and carnivals around the world. Similarly, participation equations that allow the analysis of the influence of context variables on individual decisions to participate in these types of events are estimated. For this, the Carnival of Barranquilla, the largest and most representative popular celebration in Colombia and declared by UNESCO as Intangible Cultural Heritage of Humanity, is used as a case study. The data were obtained from the Citizen Perception Survey of the Barranquilla Cómo Vamos programme, which evaluates the quality of life and the fulfilment of development plans in that city, and an empirical strategy is employed consisting of the estimation of a probit discrete choice model, which allows modelling the individual decisions of a time-intensive good, such as a carnival, with a strong influence of traditional variables, such as cultural capital and the availability of leisure time, and other context variables: location of people in the territory, stratification and poverty. The different profiles found offer information on the different strategies that can be implemented from public policy to stimulate greater participation by the population in popular festivities and festivals.

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