Video Sequence Analysis for On-Table Tennis Player Ranking and Analysis

With the rapidly developing of the scientific research in the field of sports, big data analytics and information science are used to carry out technical and tactical statistical analysis of competition or training videos. The table tennis is a skill oriented sport. The technique and tactics in table tennis are the core factors to win the game. With the endlessly emerging innovative playing techniques and tactics, the players have their own competition styles. According to the competition events among athletes, the athletes’ competition relationship network is constructed and the players’ ranking is established. The ranking can be used to help table tennis players improve daily training and understand their ability. In this paper, the table tennis players’ ranking is established their competition videos and their prestige scores in the table tennis players’ competition relationship network.

Web Service Applications and Consumer Environments Based on ICT-Driven Optimization

Networking is the use of physical links to connect individual isolated workstations or hosts together to form data links for the purpose of resource sharing and communication. In the field of web service application and consumer environment optimization, it has been shown that the introduction of network embedding methods can effectively alleviate the problems such as data sparsity in the recommendation process. However, existing network embedding methods mostly target a specific structure of network and do not collaborate with multiple relational networks from the root. Therefore, this paper proposes a service recommendation model based on the hybrid embedding of multiple networks and designs a multinetwork hybrid embedding recommendation algorithm. First, the user social relationship network and the user service heterogeneous information network are constructed; then, the embedding vectors of users and services in the same vector space are obtained through multinetwork hybrid embedding learning; finally, the representation vectors of users and services are applied to recommend services to target users. To verify the effectiveness of this paper’s method, a comparative analysis is conducted with a variety of representative service recommendation methods on three publicly available datasets, and the experimental results demonstrate that this paper’s multinetwork hybrid embedding method can effectively collaborate with multirelationship networks to improve service recommendation quality, in terms of recommendation efficiency and accuracy.

Knowledge Verification Method Based on Artificial Intelligence-based Knowledge Graph Construction

The knowledge graph connects real-world entities and concepts through their relationships, connects all different types of information to obtain a relationship network, and can analyze “relationship” issues. Creating a knowledge graph is a continuous process, and it needs to continuously learn new knowledge and update existing knowledge in the library as time and events change. However, since the accuracy of the updated new knowledge cannot be guaranteed, the new knowledge must be verified. This paper aims to study the knowledge verification method based on artificial intelligence-based knowledge graph construction. Based on the analysis of the knowledge graph construction process, the knowledge graph construction method and the knowledge verification method, knowledge verification is realized by constructing a probabilistic soft logic model. The experimental results show that the recall rate, F1 value, and AUC value of the candidate knowledge set are verified by the knowledge verification model proposed in this paper. Therefore, it can be inferred that the knowledge verification model proposed in this paper is effective.

RELATIONSHIP NETWORK CHARACTERISTICS OF SPORTS AND NON-SPORTS YOUNG ADOLESCENTS

From school onwards, children spend more and more time with their peers without direct adult supervision. In peer groups, the emphasis is on shared interests, understanding and trust, rather than joint activities. The biological changes associated with adolescent sexual maturation also lead to changes in social relationships. The topic is particularly topical now, in the wake of the COVID-19 pandemic, when opportunities for face-to- face communication have been significantly reduced, leading in many cases to a transformation of relationships. Playing sport expands the individual's range of experience: he or she is exposed to a new social environment, has the opportunity to form new relationships, and encounters a new set of values and norms. All this shapes their personality, their individuality and has an impact on their whole life. However, many children today do not play sport regularly, partly because of the increased mental workload and demands and the resulting lack of time. In my research, I was looking for answers to the question of how regular sporting activities affect the social relationships of young adolescents. As the data from my research show, regular sporting activity has a beneficial effect on both the extension and the intensity of children's relational networks, especially for those playing team sports.

Effective inter-organisational networks for Responsible Research and Innovation and global sustainability: a scoping review

Background: Achieving the United Nations Sustainable Development Goals (SDGs) is beyond the capacity of any single organisation. The principles of engaging stakeholders suggest that an engaged, multi-sectoral approach, such as described in models of Responsible Research and Innovation (RRI), hold promise to mobilise humanity to solve complex and urgent global issues. Methods: This scoping review explores the characteristics of effective and sustainable inter-organisational networks for fostering RRI in service of the SDGs. The review focuses on strategies to initiate and maintain international communities of practice relevant to the implementation of RRI and/or SDGs. The search began with themes derived from prior network theory, focusing on: (a) the type and function of networks; (b) the aims and vision; and (c) the relationships between networks and network members. In total, 55 articles on inter-organisational network theory were included for the final analysis. Results: Results are reported under themes of: (1) Effectiveness, Sustainability, and Success; (2) Governance and Management; and (3) Network Relationship. Network structures, forms of management and funding are linked to sustainable networks. Potential threats include power imbalances within networks, and internal and external factors that may affect relationships at network and community levels. Few studies examine diversity or cultural viewpoints. Studies highlight the benefits of networks such as enhancing knowledge sharing among researchers, practitioners, and other stakeholders. Conclusions: The effectiveness of the managerial structure may be observed as outputs of the intention and values of an inter-organisational network. Our review demonstrates that a global inter-organisational network approach is achievable. Such a network would have many benefits, including allowing organisations to be responsive and flexible towards change and innovation.

An Improved Framework for Content- and Link-Based Web-Spam Detection: A Combined Approach

In this modern era, people utilise the web to share information and to deliver services and products. The information seekers use different search engines (SEs) such as Google, Bing, and Yahoo as tools to search for products, services, and information. However, web spamming is one of the most significant issues encountered by SEs because it dramatically affects the quality of SE results. Web spamming’s economic impact is enormous because web spammers index massive free advertising data on SEs to increase the volume of web traffic on a targeted website. Spammers trick an SE into ranking irrelevant web pages higher than relevant web pages in the search engine results pages (SERPs) using different web-spamming techniques. Consequently, these high-ranked unrelated web pages contain insufficient or inappropriate information for the user. To detect the spam web pages, several researchers from industry and academia are working. No efficient technique that is capable of catching all spam web pages on the World Wide Web (WWW) has been presented yet. This research is an attempt to propose an improved framework for content- and link-based web-spam identification. The framework uses stopwords, keywords’ frequency, part of speech (POS) ratio, spam keywords database, and copied-content algorithms for content-based web-spam detection. For link-based web-spam detection, we initially exposed the relationship network behind the link-based web spamming and then used the paid-link database, neighbour pages, spam signals, and link-farm algorithms. Finally, we combined all the content- and link-based spam identification algorithms to identify both types of spam. To conduct experiments and to obtain threshold values, WEBSPAM-UK2006 and WEBSPAM-UK2007 datasets were used. A promising F-measure of 79.6% with 81.2% precision shows the applicability and effectiveness of the proposed approach.

Empowerment of SME’s sustainability in halal cosmetics’ ecosystem by diagnosing growth constraints

Purpose This study aims to identify and examine the growth constraints of the halal cosmetics ecosystem in which SMEs are operating in, with special focus on the situation in Malaysia. Design/methodology/approach The study adopted a qualitative methodology consisting of a systematic literature review and interviews with selected consumers and policymakers. The instruments were developed based on cybernetics and a systems-based approach, which allows for the understanding of the dynamics of growth variables in the halal cosmetics ecosystem. Based on data gathered, their relationships were mapped and major growth constraints were identified. Findings Cybernetics and systems approach coupled with growth diagnostics framework has enabled identification of comprehensive growth constraint variables for halal cosmetics ecosystem and mapping of growth constraints (variables) in a relationships network. The study found that the enforcement activities of the National Pharmaceutical Research Agency (Cosmetics Unit) directly affect five growth constraints and is associated with three other growth constraint variables; subsequently the most binding growth constraint. The relationship network derived from the mapping of the growth constraints indicated that changes in the behaviour of any element will affect the overall operations of the ecosystem. Research limitations/implications While the cosmetics industry is large and varied, this study is centred on halal colour cosmetics only. The growth constraint variables studied are those chosen by researchers and other growth constraints could be studied to guide policymakers. Future research can revolve around other halal cosmetics business sectors; impact of IR4.0 technology, COVID-19 pandemic impact; crisis and risk management issues, in the halal cosmetics industry. Practical implications The results derived from the cybernetics analysis affirms the “outside-in” marketing perspective, thus stakeholders should continuously monitor changes in the halal cosmetics ecosystem to ensure to ensure sustainability and profitability. Small and medium enterprises (SMEs) and policymakers can initiate pre-emptive actions by conducting simulations of various situations on the halal ecosystem. Social implications Enabled to simulate the effect of changes to the halal cosmetics ecosystem, stakeholders are able to take intervention initiatives, safeguard accessibility to halal cosmetics and make the halal cosmetics industry sustainable. Originality/value To the best of the authors’ knowledge, this is the first comprehensive research to identify the growth constraints of the halal cosmetics industry in Malaysia that focusses on three groups of stakeholders (consumers, SMEs and government institutions) concurrently. The growth constraints relationship network of the halal cosmetics ecosystem can be further used to simulate the impact of changes within the system.

Evolution and Emerging Trends in Depression Research From 2004 to 2019: A Literature Visualization Analysis

Depression has become a major threat to human health, and researchers around the world are actively engaged in research on depression. In order to promote closer research, the study of the global depression knowledge map is significant. This study aims to map the knowledge map of depression research and show the current research distribution, hotspots, frontiers, and trends in the field of depression research, providing researchers with worthwhile information and ideas. Based on the Web of Science core collection of depression research from 2004 to 2019, this study systematically analyzed the country, journal, category, author, institution, cited article, and keyword aspects using bibliometric and data visualization methods. A relationship network of depression research was established, highlighting the highly influential countries, journals, categories, authors, institutions, cited articles, and keywords in this research field. The study identifies great research potential in the field of depression, provides scientific guidance for researchers to find potential collaborations through collaboration networks and coexistence networks, and systematically and accurately presents the hotspots, frontiers, and shortcomings of depression research through the knowledge map of global research on depression with the help of information analysis and fusion methods, which provides valuable information for researchers and institutions to determine meaningful research directions.

Presentation of Chemotherapy Options in Cachexia in the Literature: A Scientometric Evaluation

Background: Cachexia is a multifactorial syndrome characterized by weight loss, muscle wasting, and symptoms such as fatigue and anorexia. The primary aim of this study was to quantitatively and qualitatively examine the research trends and hotspots on chemotherapy options in cachexia.Methods: A scientometric analysis was carried out according to the Science Citation Index-Expended database in the Web of Science. By utilizing bibliometric software, the performance of the total articles was covered from records, authors and affiliations, journals and research categories, to burst references, citation relationship network, and the keywords co-occurrence overlay visualization.Results: A total of 1,111 articles were retrieved. The United States occupied the top position both on the total outputs and the cooperation with other countries. Journal of Cachexia, Sarcopenia and Muscle had the highest impact factor and the most publications. Eight main groups were clustered by the similarity of the research topic. Ongoing weight loss has been the main bottleneck either in mechanistic research or therapeutic trials. In addition to nutritional supplements, the major options for pharmacological therapy were progestational agents, such as megestrol acetate and corticosteroids. ‘Computed tomography’ and strategies dealing with ‘skeletal muscle mass’, ‘muscle mass’, ‘sarcopenia’ and ‘muscle atrophy’ might be the breakthrough for the future diagnosis and treatment of cachexia.Conclusions: We considered the publication information by summarizing the literature on the pharmacological treatment of cachexia. In summary, this study provides novel and useful data for related scientific research and will help researchers explore cachexia chemotherapy options more intuitively and effectively.