Reviewerly/exHarmony huggingface dataset:
Graph Dictionary Learning for 3-D Point Cloud Compression

3-D point clouds rendering solid representations of scenes or objects often carry a tremendous amount of points, compulsorily requesting high-efficiency compression for storage and transmission. In this paper, we propose a novel <tex>$p$</tex>-Laplacian embedding graph dictionary learning algorithm for 3-D point cloud attribute compression. The proposed method integrates the underlying graph topology to the learned graph dictionary capitalizing on <tex>$p$</tex>-Laplacian eigenfunctions and leads to parsimonious representations of 3-D point clouds. We further devise alternating optimization with the help of ADMM to efficiently solve the resulting non-convex minimization problem.
Characteristics and Limitations of Local Government Educational Welfare Baseline from the Perspective of Lifelong Education

This study attempts to analyze the educational welfare baseline strategic projects of local governments from the perspective of lifelong education to clarify their characteristics and limitations, and to suggest the direction of setting the educational welfare baseline at the local level. In order to achieve the research purpose, an analysis frame according to the educational welfare level and an analysis frame according to the principle of lifelong education were devised, focusing on the deductive qualitative method of Elo and Kyngas, but the content analysis was conducted on the local government's educational welfare baseline strategy project. As a result of analysis based on education welfare, the educational welfare standards of ten local governments show projects at the input stage, financial shortage support projects, projects led by provincial governors (mayors), not superintendents, and projects for school-age students. As a result of the analysis according to the principles of lifelong education, the degree of correspondence to the principles of scalability, innovation, and integration of the educational welfare baseline strategic projects of the three local governments differed significantly depending on the region. In particular, since the educational welfare standard of local governments was set from a social security perspective, the principle of lifelong education was not sufficiently reflected. In the future, the expansion of educational content and form in the educational welfare baseline strategy project, innovation into practical useful learning and mutual educational relationships, and integration of educational resources and learning stages should be considered.&#x0D;
A Typological Study on the Strategy for Avoiding Prepositional Stranding in Topic Clauses- Based on Mandarin and Chinese Dialects

This study examined the prepositional stranding avoidance strategies which were seen in various Chinese dialects. The usage of the prepositional stranding avoidance strategies in the topic sentence in 11 dialects of Chinese showed the following features. 1. Prepositional stranding was not allowed when the object of the preposition was topicalized in all of the surveyed dialects. 2. In all of the surveyed dialects a prepositional phrase deletion strategy and a prepositional phrase retention strategy was used as a strategy to avoid prepositional stranding in the topic sentence. 3. There was no dialect using only the prepositional phrase deletion strategy or only the prepositional phrase retention strategy as a prepositional stranding avoidance strategies in the topic sentences of all the surveyed dialects and both strategies were used to avoid prepositional stranding in topic clauses. 4. In the investigated dialects the strategy showed a certain regularity according to grammatical meaning of the prepositions. Ultimately it was confirmed that features of the strategies for avoiding prepositional stranding in topic clauses in various Chinese dialects were not arbitrary and disorderly but they had relatively clear regularity closely related to the grammatical meaning of prepositions.
Application of the 汉语的语义学 [Hànyǔ de Yǔyì Xué] (Chinese Semantic) Digital Module in Semantic Courses of Mandarin Education Program of State University of Malang

The aims of this study are: (1) to describe the application of the 汉语的语义学[Hànyǔ de Yǔyì Xué] (Chinese semantic) digital module in the semantic course of the Mandarin Language Education Study Program, State University of Malang, and (2) to describe student responses to the 汉语的语义学Chinese semantics digital module. This study used descriptive qualitative method. The data sources used in this study were students of class 2020 B of the Mandarin Language Education Study Program, State University of Malang. The data from this study were obtained from the results of observations and the results of student response questionnaires. The results of observations from this study indicate that learning activities by applying the 汉语的语义学 [Hànyǔ de Yǔyì Xué] (Chinese semantic) digital module run smoothly. Students of 2020 B enthusiastically participated in all learning activities in semantic courses from beginning to end. In addition, students can also understand Chinese semantic material easily, as evidenced by students being able to complete the practice questions in the module well. Based on the results of the student response questionnaire, it can be seen that the 汉语的语义学 [Hànyǔ de Yǔyì Xué] (Chinese semantic) digital module makes students easier to learn Chinese semantic material anywhere and anytime. Students can understand Chinese semantic material quickly, because the material in this 汉语的语义学 [Hànyǔ de Yǔyì Xué] (Chinese semantic) digital module is written in Indonesian. It can be concluded that the 汉语的语义学Chinese semantic digital module is effective to be applied to the semantic course of the Mandarin Language Education Study Program, State University of Malang.
The Role of Visibility in Sustainable Performance: Understanding the Effect of Institutional Forces

In past years, sustainable performance has become a key demand for shareholders and customers. However, there has been limited attention to the enabling effect of supply chain capabilities on sustainable performance. Focusing on the food industry, this study expands the notion that visibility is a dynamic capability that mediates the relationship between information sharing and sustainable performance. Furthermore, our mediation analysis is extended to understand how institutional forces, and more specifically Halal food requirements, influence such mediation process. The results from our analysis of data collected from 89 of the most important suppliers of two large food retailers in the Kingdom of Saudi Arabia indicate that information sharing enhances sustainable performance by facilitating visibility. They also indicate that the magnitude of such facilitation depends on institutional forces. These findings extend the existing academic literature and provide guidance to managers by creating a better understanding of how information sharing can lead to higher sustainable performance.
Transaction Costs, Institutions and Blockchain Technology: Toward A New Paradigm

Blockchain technology has the potential to disrupt many of the assumptions that we currently hold about market transactions, the role of institutions and the nature of the firm. As a result of this new technology, market transactions may be conducted between decentralized, autonomous economic actors at much lower costs, with less uncertainty, and without central control by governments in the form of formal institutions. The latter aligns with the vision of Adam Smith two and a half centuries ago (Smith, 1776 [1976]) and so, possibly for the first time, markets could become true price-driven exchanges between suppliers and consumers. Blockchain technology also challenges the key assumptions underpinning the existence of the firm (Coase, 1937) as it has the potential to reduce the cost of search, contracting, coordination and the establishment of trust. When realized, this potential may lead to the emergence of new ways to organize economic activities. Accordingly, blockchain technology may be the next wave of disruption for intermediated transactions in many contexts, by reducing and possibly eliminating the need for market agents. Due to its relative novelty, however, discussions about blockchain technology have so far predominately centered on technical aspects and its first application - the cryptocurrency bitcoin. This paper attempts to elevate the discussion beyond those confines and into the realm of organization and management theory by exploring how the diffusion and application of blockchain technology may advance well-established theories, namely transaction cost economics, agency theory, and institutional theory.
Implementation of SHA256 Algorithm for Securing Medical Data using Machine Learning and Block chain Techniques

Data is the input for various artificial intelligence (AI) algorithms to mine valuable features, yet data in Internet is scattered everywhere and controlled by different stakeholders who cannot believe in each other, and usage of the data in complex cyberspace is difficult to authorize or to validate. As a result, it is very difficult to enable data sharing in cyberspace for the real big data, as well as a real powerful AI. In this paper, we propose the SecNet, an architecture that can enable secure data storing, computing, and sharing in the large-scale Internet environment, aiming at a more secure cyberspace with real big data and thus enhanced AI with plenty of data source, by integrating three key components: Blockchain-based data sharing with ownership guarantee, which enables trusted data sharing in the large-scale environment to form real big data; AI-based secure computing platform to produce more intelligent security rules, which helps to construct a more trusted cyberspace; Trusted value-exchange mechanism for purchasing security service, providing a way for participants to gain economic rewards when giving out their data or service, which promotes the data sharing and thus achieves better performance of AI. Moreover, we discuss the typical use scenario of SecNet as well as its potentially alternative way to deploy, as well as analyze its effectiveness from the aspect of network security and economic revenue.
Phishing Website Detection

It is a crime to practice phishing by employing technical tricks and social engineering to exploit the innocence of unaware users. This methodology usually covers up a trustworthy entity so as to influence a consumer to execute an action if asked by the imitated entity. Most of the times, phishing attacks are being noticed by the practiced users but security is a main motive for the basic users as they are not aware of such circumstances. However, some methodologies are limited to look after the phishing attacks only and the delay in detection is mandatory. In this paper we emphasize the various techniques used for the detection of phishing attacks. We have also discovered various techniques for detection and prevention of phishing. Apart from that, we have introduced a new model for detection and prevention of phishing attacks.
Aspect Based Sentiment Analysis

Sentiment analysis, which addresses the computational treatment of opinion, sentiment, and subjectivity in text, has received considerable attention in recent years. In contrast to the traditional coarse-grained sentiment analysis tasks, such as document-level sentiment classification, we are interested in the fine-grained aspect-based sentiment analysis that aims to identify aspects that users comment on and these aspects’ polarities. Aspect-based sentiment analysis relies heavily on syntactic features. However, the reviews that this task focuses on are natural and spontaneous, thus posing a challenge to syntactic parsers. In this paper, we address this problem by proposing a framework of adding a sentiment sentence compression (Sent Comp) step before performing the aspect-based sentiment analysis. We apply a discriminative conditional random field model, with certain special features, to automatically compress sentiment sentences. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in textual data. sentiment analysis proves to be an incredible asset for users to extract essential information and assists organizations with understanding the social sentiment of their brand, product or service while monitoring online conversations.
Optimized photometric technique for rare-earth elements determination in phosphate ore

The Socialist Republic of Vietnam is 21st in the list of the world&rsquo;s countries for phosphate ore reserves. The largest apatite ore deposit Lao Cai with the stretch of over 100 km and the total area of 45.56 km2 situated along the right bank of the Hong River has been in operation since 1940. According to the prospecting data, the Lao Cai ore reserves exceed 30 mln tons. As the mining operations keep expanding and the environmental regulations grow stricter, it is necessary to monitor the concentration of rare-earth metals in the apatite ore. Inductively coupled plasma mass spectrometry (ICP&ndash;MS), a method that enables to directly analyze mineral raw materials and sites for rare-earth elements, cannot be consistently utilized by industrial sector. An alternative spectrophotometric technique, which helps determine the total amount of rare-earth elements in analyzed objects, is time- and labour-consuming. This paper describes the results of a trial that was conducted for an optimized spectrophotometric technique. The advantage of the optimized technique is that it skips the stage when a sample gets decomposed with a mixture of hydrofluoric, nitric and sulphuric acids, which saves time and labour and improves the work safety. The results obtained from both conventional and optimized spectrophotometric techniques have good convergence: the discrepancy between them is 1.68%, which does not exceed the applicable error. The authors performed parallel analysis of two samples of ground Lao Cai apatite ore for rare-earth elements determination. Thus, ICP-MS, as well as conventional and optimized spectrophotometric techniques were applied. The authors determined what caused the errors in the case of the latter and how such errors can be minimized.
Transparency and the Social Benefits of Government Funded Research

I investigate the effect of increasing transparency on the social benefits of government funded research. For this purpose, I exploit two laws enacted in the United States related to government funding and improved information provision. Using these two information, I analyze how the change in information disclosure affects follow-on innovation of government-funded research. The results show an elevated degree of innovation building on federally funded patents after transparency increased due to additional information. I find that this effect could be attributed to a decrease in search costs and asymmetric information. Further results imply that patents funded by procurement contracts show a stronger increase in follow-on innovation compared to those funded by grants. Considering the actual amount awarded, I find a positive relationship and that patents from projects with a medium level of funding benefit in particular. These results imply a positive effect of more transparency on innovation.
New Venture Performance: Specific Innovativeness, Digital Entrepreneurship and Gender

We build on strategic choice theory to predict 1) that specific innovativeness impacts new venture financial performance, 2) that a high degree of digital entrepreneurship enhances this effect by providing more room for strategic choices, and 3) that female entrepreneurs make better use than male ones of the opportunities offered by a high degree of digital entrepreneurship. We confirm our hypotheses using primary data from Ghana and Vietnam. We conclude that strategic choices among new ventures yield best results if bounded by prior strategic choice and specific innovativeness, enabled by a high degree of digital entrepreneurship, and enacted by women.
DIVERSITY OF INFORMATION REALITY AND HUMAN EXISTENCE IN THE MODERN TECHNOGENIC WORLD

This article discusses that the growth of technological power at the present stage and the strengthening of its negative consequences generates a variety of information reality, and there are also a number of problems associated with the actualization of the problem of human existence. The study shows some distortion of views on new problems and moral values facing humanity. To determine this hypothesis, a number of important arguments are given: uncontrolled technological progress of society has led to the depletion of natural resources, environmental and demographic, existential crises, natural disasters (global climate change, seismic activity, and tectonic dynamics, etc.), global consequences. In addition, it is recognized that the rapid development of information technologies has opened up new opportunities for man and humanity as a whole, the results of the analysis are considered, requiring a philosophical analysis of the problems arising in the digital society, determining the role of this phenomenon in public relations, finding solutions in modern changing conditions in accordance with the demands of today.
A Unique Concept for Engaging the Aging Volunteer

The Volunteer Management ReportVolume 27, Issue 8 p. 5-5 Auxiliary Programming A Unique Concept for Engaging the Aging Volunteer Kim Pawlak, Kim PawlakSearch for more papers by this author Kim Pawlak, Kim PawlakSearch for more papers by this author First published: 06 July 2022 https://doi.org/10.1002/vmr.31918Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume27, Issue8August 2022Pages 5-5 RelatedInformation
Upcoming meetings

Artificial OrgansVolume 46, Issue 8 p. 1711-1711 UPCOMING MEETING Upcoming meetings First published: 05 July 2022 https://doi.org/10.1111/aor.14338Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume46, Issue8August 2022Pages 1711-1711 RelatedInformation
NFT Marketplaces – Digital Artists’ Perspectives and Strategies (WITHDRAWN)

When a digital picture, that can be copied and distributed at zero costs, goes on sale for $69 million, something is up. Non-Fungible-Tokens, or simply NFTs, which became one of the most exciting topics in the digital realm in 2021 due to the rise in interest in blockchain technologies and the hype generated by internet personas and celebrities. This study is a short-term explorative approach towards understanding the motivation, needs, goals, and strategies of creating and selling non-fungible tokens on Art Platforms. To do so we utilize a qualitative, inductive category formation methodology with nine semi-structured interviews with digital artists that sold their creations on newly established NFT marketplaces for up to $400.000 apiece. Creator`s motivations to engage in these new platform ecosystems ranged from to Social, Monetary, to Technological aspects, with classical platform aspects such as control mechanisms and network effects playing a major role in their adoption.
Hype, Uncertainty, and Lock-in: The Dynamics of New Venture Adoption of Emerging Technologies

We draw on an inductive, qualitative study of a Swiss start-up that adopted blockchain technology to develop a model of new venture adoption of hyped, emerging technologies. Our model encompasses three phases during which distinct aspects of the hyped technology are highlighted and different dynamics play out: (1) technology idealization, (2) technology realization, and (3) technology disassociation. We find that emerging technologies surrounded by hype are often first adopted symbolically, and only later structurally embedded in the venture. Interestingly, we also shed light on what happens when the technology fails to live up to the hype. We find that the emerging technology continues to be used due to technology lock-in, while being symbolically decoupled from the venture’s identity and image.
Shifting Focus from Activities to Impact webinar

Nonprofit Business AdvisorVolume 2022, Issue 395 p. 9-9 Resources Shifting Focus from Activities to Impact webinar First published: 06 July 2022 https://doi.org/10.1002/nba.31282Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume2022, Issue395August 2022Pages 9-9 RelatedInformation
FROM THE MYSTERY OF LIFE TO THE MYSTERY OF CONSCIOUSNESS

The article compares the history of solving the “mystery of life” and modern scientific and philosophical approaches to the “mystery of mind”. The main steps in solving the “mystery of life” are described. Such obstacles in the way of revealing the connections between the processes of mind and brain processes as “cognitive closeness”, “gap in explanation”, and “difficult problem” are considered. From the point of view of the philosophy of science, the advantages, and disadvantages of the main philosophical theories of mind are evaluated: the theory of the identity of mental and neural processes, functional theory, and the theory of property dualism.