scholarly journals Construction of Credibility Model for Evaluating the Effectiveness of Ecological Civilization Education

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lushan Yu
Keyword(s):  
Content Analysis ◽  
Physical Model ◽  
Geometric Modeling ◽  
Online Reviews ◽  
Tetrahedral Mesh ◽  
Surface Model ◽  
Ecological Consciousness ◽  
Good Reliability ◽  
Green Development ◽  
Man And Nature

The concept of green development as a rational grasp of the relationship between man and nature is not only an important embodiment of the line of thought of seeking truth from facts and advancing with the times but also a concrete application of Marxist materialistic dialectics combined with the current situation of China’s development. Ecological consciousness is a value orientation that reflects the harmonious development of man and nature as a worldview and methodology to explore and reflect on the ecological and environmental problems of the current society. College students are an important force in promoting China’s development in the future, and cultivating their good ecological consciousness with the concept of green development as a guide for action is of great significance at both the theoretical level and the practical level. Based on the review of online reviews, this study proposes that the content of positive reviews can be classified into praiseworthy reviews. In order to verify the objectivity of the content dimensions of the three types of positive comments, this study selected 1,800 positive comments as the research sample using stratified random sampling and conducted a content analysis of the comment samples one by one using the NET method. The content analysis results showed that praiseworthy comments appeared in almost all of the samples, constructive comments appeared in 23% of the samples, and prosocial comments appeared in only 14% of the sample. The results of the content analysis show that it is necessary to identify the dimensions of positive online comments because the single-dimensional constructs cannot effectively present the multidimensional information content contained in positive comments. By studying the geometric modeling method in soft tissue modeling technology, we propose covering the surface model on the outer surface of the physical model and using the tetrahedral mesh as the support skeleton of the physical model. Through the purification of the initial items and secondary testing, a scale with good reliability and validity for measuring the three constructs of praiseworthy, constructive, and prosocial comments was finally obtained.

scholarly journals How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model

2021 ◽  
Vol 18 (14) ◽  
pp. 7676
Author(s):  
Shengli Dai ◽  
Weimin Zhang ◽  
Jiamin Zong ◽  
Yingying Wang ◽  
Ge Wang
Keyword(s):  
Yangtze River ◽  
Three Dimensional ◽  
Local Area ◽  
Surface Model ◽  
Policy Effectiveness ◽  
Index Model ◽  
Advantages And Disadvantages ◽  
Green Development ◽  
Development Policies ◽  
Policy Texts

Although many countries around the world, especially China, highlight the strategy of green development, there has been little research evaluating the effectiveness of green development policies in local area. This study explores 16 policy texts with the theme of green development in the Yangtze River Economic Belt in China. Using the Policy Modeling Consistency Index (PMC-Index) model, the paper establishes a multi-input–output policy table and scientifically and systematically evaluates these policies. The results show that the average PMC index of the 16 policy texts is 6.83, indicating a high overall quality of policy texts. The index identifies two states of policy effectiveness as being good and excellent; 50% of the total texts fall into these categories and do not fall into the category of having a low level of policy effectiveness. Five indicators, including policy timeliness, social benefits, policy audience scope, and incentives and constraints, significantly impact the PMC-Index of the policy. Six representative policy samples were selected and analyzed. The advantages and disadvantages of the policy can be more fully understood by the degree of depression of the PMC’s three-dimensional curved surface (PMC-Surface) model. Finally, the paper provides theoretical recommendations for the optimization of the green development policies.

Sharing tourism experiences in social media

2017 ◽  
Vol 29 (1) ◽  
pp. 179-225 ◽  
Author(s):  
Marios D. Sotiriadis
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Academic Research ◽  
Online Reviews ◽  
Content Type ◽  
Main Research ◽  
Research Themes ◽  
Consumer Perspective ◽  
Use Of Social Media ◽  
The Impact

Purpose The purpose of this paper is twofold: to perform a synthesis of academic research published between 2009 and 2016 regarding the changes in tourism consumer behavior brought about by the use of social media (SM); and to suggest a set of strategies for tourism businesses to seize opportunities and deal with resulting challenges. Design/methodology/approach A volume of 146 peer-reviewed journal articles were retrieved from two major databases. Content analysis of this academic research has been performed, exploring the effects of online reviews on tourism consumers and providers. Findings The content analysis identified three main research themes that were investigated by scholars and classified into two major categories, namely, consumer perspective and provider perspective: the antecedents (factors motivating and influencing tourists); the influence of online reviews on consumer behaviour; and the impact of these reviews on tourism businesses (providers’ perspective). Research limitations/implications This study is based on a literature review and outcomes reported by previous studies; hence, the suggestions are indicative rather than conclusive. Some publication sources were not included. Practical implications This paper suggests a range of adequate strategies, along with operational actions, formulated for industry practitioners in the fields of management and marketing. Originality/value It provides an update of the state of published academic research into SM and an integrated set of management and marketing strategies for tourism providers in seizing the opportunities and dealing with the challenges raised in a digital context.

scholarly journals Content Analysis of Negative Online Reviews of Hospice Agencies in the United States

2020 ◽  
Vol 3 (2) ◽  
pp. e1921130
Author(s):  
Elinor J. Brereton ◽  
Daniel D. Matlock ◽  
Monica Fitzgerald ◽  
Grace Venechuk ◽  
Chris Knoepke ◽  
...  
Keyword(s):  
United States ◽  
Content Analysis ◽  
Online Reviews ◽  
The United States

scholarly journals The view, brew and loo: perceptions of botanic gardens?

2019 ◽  
Vol 12 (1) ◽  
pp. 20-38 ◽  
Author(s):  
Nicholas Catahan ◽  
Helen Woodruffe-Burton
Keyword(s):  
Big Data ◽  
Content Analysis ◽  
Public Perception ◽  
Rating Scale ◽  
Scientific Discovery ◽  
Methodological Approach ◽  
Online Reviews ◽  
Botanic Gardens ◽  
Place Management ◽  
Content Type

PurposeThis is an exploratory and qualitative study to consider approaches to capture, analyse and monitor perceptions from big data, to inform and contribute to place management research and practice of botanic gardens (BGs). This paper aims to address the ongoing significant threat to BGs due to funding being cut and the need to inform and develop sustainable revenue streams for their survival.Design/methodology/approachGuiding research questions for this study were: ‘What are the perceived strengths and areas for development for 2 BGs via a Leximancer Automatic Content Analysis (ACA) of TripAdvisor online reviews; and do they match BGs purpose of scientific research, conservation, display and education?’ A content analysis of 582 online reviews from 2007 to 2017 follows qualitative methodology techniques using a combination of manual and automatic text analysis (Leximancer text mining software). These approaches enabled a comparison of online TripAdvisor reviews with Likert-type or rating scale items of 1 to 5 stars.FindingsInsights revealed the use of Leximancer and TripAdvisor (or similar innovations) as tools for potential place management, place marketing communications and monitoring purposes. Predominant perceptions extracted from reviews are not concerned with documented collections of living plants for the purposes of scientific discovery, conservation, display and education. Reviews clearly focus more upon aesthetics, facilities and services, which support previous studies. Overall, reviews highlighted positive sentiments towards the BGs.Research limitations/implicationsLimitations link to limited data across two BGs, synthesis and meaning of complex perceptions, matters of subjectivity and time needed to interpret information. Implications enable insights into BG “place” gleaned from big data in the form of user-generated content and electronic Word-Of-Mouth using Leximancer; viewed as a measure alongside management action plans. Future studies could strengthen debate and action regarding the use of Leximancer, and also public perception of BGs’ core functions, importance and value. The research supports potential to monitor and transform perceptions, values and beliefs. Outcomes could eventually inform policy and generate a much-needed shift in funds and resources for BGs by highlighting their relevance and value to society.Originality/valueAn empirical and methodological contribution via peer reviewed studies of visitor perceptions via online reviews of Britain’s BGs “place” and “space” analysed with Leximancer have never been published. This study critically explores potential visitor and place management needs of BGs. Managers can make better use of big data from social media platforms/digital channels, using a novel type of data analytical software like Leximancer for strategic planning; with more informed approaches to place management, innovation and development. A key contribution of this study is this ACA methodological approach for place management.

scholarly journals Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data

2015 ◽  
Vol 8 (4) ◽  
pp. 1719-1731 ◽  
Author(s):  
W. H. Davies ◽  
P. R. J. North
Keyword(s):  
Physical Model ◽  
Spectral Estimation ◽  
Single Scattering ◽  
Radiative Transfer Model ◽  
Surface Model ◽  
Transfer Model ◽  
Imaging Spectrometer ◽  
Land Surfaces ◽  
General Physical ◽  
Aerosol Properties

Abstract. We develop a method to derive aerosol properties over land surfaces using combined spectral and angular information, such as available from ESA Sentinel-3 mission, to be launched in 2015. A method of estimating aerosol optical depth (AOD) using only angular retrieval has previously been demonstrated on data from the ENVISAT and PROBA-1 satellite instruments, and is extended here to the synergistic spectral and angular sampling of Sentinel-3. The method aims to improve the estimation of AOD, and to explore the estimation of fine mode fraction (FMF) and single scattering albedo (SSA) over land surfaces by inversion of a coupled surface/atmosphere radiative transfer model. The surface model includes a general physical model of angular and spectral surface reflectance. An iterative process is used to determine the optimum value of the aerosol properties providing the best fit of the corrected reflectance values to the physical model. The method is tested using hyperspectral, multi-angle Compact High Resolution Imaging Spectrometer (CHRIS) images. The values obtained from these CHRIS observations are validated using ground-based sun photometer measurements. Results from 22 image sets using the synergistic retrieval and improved aerosol models show an RMSE of 0.06 in AOD, reduced to 0.03 over vegetated targets.

Hand Modeling and Motion Reconstruction for Individuals

2014 ◽  
Vol 8 (3) ◽  
pp. 376-387 ◽  
Author(s):  
Yui Endo ◽  
◽  
Mitsunori Tada ◽  
Masaaki Mochimaru
Keyword(s):  
Motion Capture ◽  
Local Coordinate System ◽  
Skin Surface ◽  
Tetrahedral Mesh ◽  
Surface Model ◽  
Motion Capture System ◽  
Joint Rotation ◽  
Link Structure ◽  
Hand Model ◽  
The Individual

In this paper, we propose a new method of reconstructing hand models for individuals including link structure models, homologous skin surface models and homologous tetrahedral mesh models in a reference posture. The skin surface model is defined as a threedimensional triangularmesh, obtained by deforming a template mesh so as to fit the landmark vertices to the corresponding marker positions obtained by a motion capture system. In this process, anatomical dimensions for the subject, manually measured by a caliper, are also used as the deformation constraints. As for the link structure model, the local coordinate system related to each link consists of the joint rotation center and the axes of joint rotation, which can be estimated based on the deformation of the skin surface of the template model relative to the one of the individual. By using obtained individual hand model, hand postures in a motion sequence are also reconstructed based on the landmark points and the corresponding marker positions obtained from the motion capture system. Virtual spring-damper models located between the landmarks and the markers are used in physically-based simulation for the posture reconstruction.

scholarly journals Research on the Characteristics and Usefulness of User Reviews of Online Mental Health Consultation Services: A Content Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1111
Author(s):  
Jingfang Liu ◽  
Lu Gao
Keyword(s):  
Mental Health ◽  
Content Analysis ◽  
Online Reviews ◽  
Internet Technology ◽  
Psychological Counseling ◽  
User Reviews ◽  
Psychological Consultation ◽  
Topic Sentiment ◽  
Context Features ◽  
Consultation Services

Online consultation based on Internet technology is gradually becoming the main way to seek health information and professional assistance. Online user reviews, such as content reviews and star ratings, are an important basis for reflecting users’ views on the effectiveness of health services. Here, we used user reviews related to online psychological consultation services for content feature mining and usefulness analyses. We used a professional online psychological counseling service platform in China to collect user reviews that were liked by users as a data sample for a content analysis. An LDA topic model, dictionary-based sentiment analysis, and the NRC Word-Emotion Association Lexicon were used to extract the topic, sentiment, and context features of the content of 4254 useful reviews, and the influence of these features on the usefulness of the reviews was verified by a multiple linear regression analysis. Our results show that the content of online reviews by psychological counseling users presented a positive emotional attitude as a whole and expressed more views on the process, effects, and future expectations of counseling than on other topics. There was a significant correlation between the topic, sentiment, and context features of a user review and its usefulness: reviews giving high scores and containing topics such as “ease emotions” and “consulting expectations” received more user likes. However, the usefulness of a review was significantly reduced if it was in existence for too long. This research provides valuable suggestions for understanding the needs and emotional attitudes of users with mental health problems in terms of online psychological consultation; identifying the factors that affect the number of likes a review receives can help platform users write better consultation evaluations and thereby provide greater usefulness. In addition, the use of online reviews generated by users for content analysis effectively supplements the current research on online psychological counseling in terms of data and methods.

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