Content Characteristics Research Articles

A novel similarity measure SF-IPF for CBKNN with implicit feedback data

PurposeThe increasing popularity of music streaming services also increases the need to customize the services for each user to attract and retain customers. Most of the music streaming services will not have explicit ratings for songs; they will have only implicit feedback data, i.e user listening history. For efficient music recommendation, the preferences of the users have to be infered, which is a challenging task.Design/methodology/approachPreferences of the users can be identified from the users' listening history. In this paper, a hybrid music recommendation system is proposed that infers features from user's implicit feedback and uses the hybrid of content-based and collaborative filtering method to recommend songs. A Content Boosted K-Nearest Neighbours (CBKNN) filtering technique was proposed, which used the users' listening history, popularity of songs, song features, and songs of similar interested users for recommending songs. The song features are taken as content features. Song Frequency–Inverse Popularity Frequency (SF-IPF) metric is proposed to find the similarity among the neighbours in collaborative filtering. Million Song Dataset and Echo Nest Taste Profile Subset are used as data sets.FindingsThe proposed CBKNN technique with SF-IPF similarity measure to identify similar interest neighbours performs better than other machine learning techniques like linear regression, decision trees, random forest, support vector machines, XGboost and Adaboost. The performance of proposed SF-IPF was tested with other similarity metrics like Pearson and Cosine similarity measures, in which SF-IPF results in better performance.Originality/valueThis method was devised to infer the user preferences from the implicit feedback data and it is converted as rating preferences. The importance of adding content features with collaborative information is analysed in hybrid filtering. A new similarity metric SF-IPF is formulated to identify the similarity between the users in collaborative filtering.

ORGANIZATION OF WORK ON PREPARATION FOR COMPOSITION TRAINING IN PRİMARY SCHOOL

The article examines the ways of preparing younger students to write compositions. For this reason, first of all, the importance to organize work on the systematic analysis of the structural and content features of the reading texts in the textbook is emphasized. It is noted that tasks aimed at understanding the concepts, such as ―text‖, ―idea of text‖, ―parts of text―, ―title‖, ―paragraph‖, ―plan‖, etc. introduce students to the structural features of the text, its composition and help to develop text construction skills.

“THE HANDMAID’S TALE” BY MARGARET ATWOOD AS A POSTMODERN NOVEL: DYSTOPIAN GENRE TRANSGRESSION IN POSTMODERN ERA

Margaret Atwood’s novel “The Handmaid’s Tale” seems to have been studied comprehensively and fundamentally. Aspects of the dystopian genre, its feminist and anti-religious orientation, and the novel’s connection with philosophical concepts of the 20th century have been studied in depth. In the poetics of the novel, researchers’ interest in the problems of intertextuality, the specifics of composition, etc., has never ceased. However, despite the variety of problems covered in these studies, in our opinion, a fundamental question about the significance of Margaret Atwood’s novel for the further development of the tradition of the dystopian genre has remained on the periphery of scholarly attention. Meanwhile, “The Handmaid’s Tale” can be regarded as a programmatic work that clearly identifies and elaborates the key genre principles of the postmodern dystopian novel, which have not yet been substantiated. Modern studies of the features of postmodern dystopia based on the material of various works of the 1990-2000s, as well as in modern findings, capture exactly those genre strategies that were embedded in M. Atwood’s novel. At the same time, researchers focus on the transformation of the mainly predominant aspects of dystopia in the era of postmodernism. Meanwhile, the changes that dystopia underwent in the last third of the 20th century are associated with the formation of the aesthetics of the genre of the postmodern novel, as evidenced by the publication of the novel “The Handmaid’s Tale”. In this regard, we consider it appropriate to study M. Atwood’s novel as a postmodern dystopian novel in the relationship between the content features of dystopia and the genre of the postmodern novel. The work aims to investigate the dystopian narrative presented in “The Handmaid’s Tale” in the context of the poetics of the postmodern novel genre. Achieving the stated goal involves the use of historicalliterary, philosophical-aesthetic, and hermeneutical research methods. In the context of the postmodern dystopian paradigm, the genre of dystopia is transformed significantly. Changes in the substantive aspects of the genre are associated with a reduction in the gap between dystopian and real time, the affirmation of a relatively optimistic tone, the lability of the dystopian world (which predetermines the conditionally metaphorical nature of the chronotope, the amorphousness of spatial and discrete time boundaries), and a shift in emphasis to the inner world of the character. The increased degree of anthropocentrism, which is characteristic of postmodern dystopia, determines the change in the nature of the protagonist’s rebellion against the totalitarian regime – the focus of social rebellion shifts to personal existential (the struggle to preserve one’s own identity), where it is not the result that is important, but its philosophical content. At the same time, dystopia also absorbs the features of the postmodern novel form and postmodern narrative strategy, mastering the techniques of intertextuality and rethinking the traditions of the past, irony and parody, playing with time and the author’s game with the reader. Moreover, the function of the author’s game strategy is not only to make the reader a co-author of the text but also to encourage him to make multiple interpretations. The multifaceted nature of the game draws the reader into the action and forces one to reflect on the windows of opportunity opening up in modern civilization, that is, to perceive the story of Gilead as more than just exciting storytelling. The game mode reveals the author’s ideological and content-based storytelling strategy – through intertext (as a combination of multi-level chronotopes and cultural texts), on the one hand, and through involvement in the experiences of Offred, on the other, to encourage/force the reader to experience the entire history of Christian civilization, presented in the dystopian heroine’s narrative.

STYLISTIC ROLE OF DETERMINED VOCABULARY IN PUBLICISTIC STYLE (Based on the material of Lina Kostenko’s article “The Humanitarian Aura of a Nation, or The Defect of the Main Mirror”)

This research aims to analyze the stylistic possibilities of deterministic vocabulary in a journalistic style based on the material of Lina Kostenko’s article “The Humanitarian Aura of the Nation, or the Defect of the Main Mirror”. To achieve this goal, we have carried out a continuous selection of quotes from the analyzed article using lexical units that have undergone determination; described the thematic classes of deterministic lexemes, distinguished the decisions of the functional, lexical-semantic, and traced semantic-stylistic levels, the semantic modifications of the deterministic vocabulary; revealed the stylistic role of determinations for achieving a communicative goal. The article uses several linguistic and general scientific research methods: the continuous selection method that we used to single out quotes in which the author used deterministic lexemes; based on semantic analysis, we have carried out a thematic classification of the studied material; statistical methods made it possible to reveal quantitative parameters of thematic groups of deterministic vocabulary; with the help of structural-thematic and semantic analysis, we have classified selected lexemes according to the levels of determination; we have also applied the interpretive method to reveal the semantics of deterministic lexical units in specific contexts, of analysis. We have also used descriptive, comparative, component, and deductive research methods to accomplish the article’s aim. We have singled out 167 quotations with lexical units that underwent determination and were used for different stylistic or content purposes. We have identified 146 terms of twenty-one thematic groups. The most frequently presented general scientific terms (19.2%), political science (13.8%), psychological (9.6%), and historical (8.9%) terms, the dominance of which can be explained primarily by the content features of the analyzed work. Considering the degree of loss of the signs of the term by the lexeme, 67% of determined lexemes are functional determinations that belong mainly to the groups of general scientific terms and terms of the socio-political sphere. We have established that the functional determinations reflect the features of the modern communicative space, testify to the high intellectual level of the author, and are aimed at the same educated readers. Determinations of the lexical-semantic level arise due to the modification of term semantics and the emergence of a new, universal meaning of the lexeme, usually recorded in explanatory dictionaries. Thanks to the combination of language units from different thematic fields, seven intentions are actualized, additional common language connotations are superimposed, and original imagery arises – all this contributes to the emergence of a specific expression inherent in the journalistic style of literary language. We have revealed that the term gets the semantic-stylistic level of determination when it undergoes certain semantic modifications and becomes an element of an artistic device (trope, stylistic figure). The specificity of Lina Kostenko’s creative style determines the presence of complex artistic images in the analyzed work, which combine semantic transformations and stylistic means – figures, and tropes. Usually, artistic metaphors with antitheses, oxymorons, epithets, phraseology, etc., are intertwined in one quote. Determinations contribute to the semantic accuracy, exactness, and imagery of speech and reflect the author’s subjective perception of the corresponding subject or phenomenon, strengthen the author’s assessment of what was said, and contribute to the statement’s expression.

A Lightweight Method for Graph Neural Networks Based on Knowledge Distillation and Graph Contrastive Learning

Graph neural networks (GNNs) are crucial tools for processing non-Euclidean data. However, due to scalability issues caused by the dependency and topology of graph data, deploying GNNs in practical applications is challenging. Some methods aim to address this issue by transferring GNN knowledge to MLPs through knowledge distillation. However, distilled MLPs cannot directly capture graph structure information and rely only on node features, resulting in poor performance and sensitivity to noise. To solve this problem, we propose a lightweight optimization method for GNNs that combines graph contrastive learning and variable-temperature knowledge distillation. First, we use graph contrastive learning to capture graph structural representations, enriching the input information for the MLP. Then, we transfer GNN knowledge to the MLP using variable temperature knowledge distillation. Additionally, we enhance both node content and structural features before inputting them into the MLP, thus improving its performance and stability. Extensive experiments on seven datasets show that the proposed KDGCL model outperforms baseline models in both transductive and inductive settings; in particular, the KDGCL model achieves an average improvement of 1.63% in transductive settings and 0.8% in inductive settings when compared to baseline models. Furthermore, KDGCL maintains parameter efficiency and inference speed, making it competitive in terms of performance.

High‐degree penalty based global statistical network embedding for name disambiguation in anonymized graph

SummaryIn person‐centric applications, the prevalence of shared names significantly hampers document retrieval, web search, and database integration, highlighting the critical need for name disambiguation. Network embedding based unsupervised name disambiguation methods have received much attention due to their wide applicability and superior disambiguation performance. However, existing methods require complex feature engineering, such as extracting biographical and source content features or constructing supplementary features from external knowledge bases, which are unavailable in privacy‐preserving scenarios. Moreover, they may face challenges such as imbalanced node training or overlooking global statistical information during node embedding learning. In this article, we propose a method to tackle the name disambiguation problem based on high‐degree penalty and global statistical information using only relational data. First, we construct a weighted source similarity network based on multi‐hop collaborator relationships. Second, we employ a high‐degree penalty based global statistical network embedding model to learn low‐dimensional node embeddings and preserve the structural features of the network. Finally, we cluster the same sources using a joint clustering algorithm that does not require prior knowledge of the number of clusters. The experiment validates the effectiveness of the proposed method on two real‐life datasets.

Vegetation at the former open-pit Ningyo-toge mine, 36 years after closure treatment: Impact of soil cover on woody plant establishment and dominance of the perennial herb Miscanthus sinensis

Soil cover is a prevailing method used at mine sites to ensure the safety of hazardous materials and restore ecological functions when the base materials are unfavorable for plant growth. The former open-pit Ningyo-toge Mine was backfilled with overburden and neutralized smelting residues and covered with soil in 1987. After 36 years, the vegetation remained dominated by the perennial herb Miscanthus sinensis, and woody plant establishment did not progress successfully. This study investigated the factors that inhibited woody plant establishment at the site. The soil profile survey revealed that the soil cover formed Bg horizons (pseudogley soil) with cloudy mottling, representative of poorly drained soil. In the Bg horizon, woody plant roots of Pinus densiflora and Weigela hortensis exhibited growth inhibition. Elemental analysis revealed that in the Bg horizon the roots of P. densiflora and W. hortensis accumulated high Fe concentrations exceeding 10,000 mg/kg DW at critical levels. Our results suggested that woody plant roots in the Bg horizon may have suffered from chronic oxygen deficiency accompanied by excessive Fe stress in the soil cover. Topsoil water content (<50 mm) and microtopographic features were not critical factors disrupting woody plant establishment because some individuals were growing in areas with high soil water content, exceeding 60%. Considering that woody plant roots were developed primarily in the shallow A horizon, A horizon formation by M. sinensis is a key step in initiating woody plant establishment by improving the soil structure and physiochemical characteristics of the soil cover, such as carbon content, exchangeable nutrients, and air-filled porosity. For successful mine pollution control and vegetation recovery, implementing an appropriate topsoil system, such as native forest soil, loosely graded and minor infiltration layer above the overburden would be necessary.

Neural Style Transfer

Abstract: The Basically [NST] means a Neural Style Transfer is one Model for changing the whole behaviour of the images. Through the NST we can create a multiple new images using a multiple content image and multiple style images, through this model we can change the all internal structure &amp; Environment of the images, and also in some images the model can transform the style or change a style. Neural style transfer is a machine learning, deep learning and artificial intelligence related one technique thatcombines the features of a content images and style images.Under the content images the all content are present and under the style images all style related images are present are over here. This technique combines the contents imageswith the style of another image creating visually captivatingart works that bridge the gap between human creativity andcomputational process. Introducing the neural network architecture that enables the extraction of content and style features from images.

Topical Trends in Outer Space Cooperation/Competition and Perspectives on Space Law

Introduction. Immanent in all history of space activities cooperation and/or competition are currently subject to significant changes. The most meaningful by impact on activity, its forms, subject content and other features, as well as on relevant international legal and national legal framework including perspectives on their development, are the two emerging international partnerships: China and Russia, primarily on the International Lunar Research Station, as well as with other cooperating states; and the United States with partners on the Artemis Program.Materials and methods. Materials – selected by criterion of fundamental impact on the ‘space law’ development examples of international legal and national legal acts underpinning one of the alternative competing international partnerships on the exploration of the Moon and deep space. Methodology includes analysis, synthesis, analogy, as well as combination of comparative law with systematic methods, and modelling with forecasting.Results. It is justified that: 1) it is reasonable to consider the combination of relevant current factors, trends, and processes (including political, economic, and technological) as the components of the branch-specific coordinate system; 2) timely identification of factors with significant impact on the industry development significantly reduces, or absolutely offsets the negative impact of transformational potential of cooperation/competition in outer space on the efficiency of the industry-related forecasting; 3) factors of fundamental impact on the development of the “space law” system are found in the international legal and national legal approaches behind the two alternative international partnerships; 4) the necessity to determine common basis for diverging legal (and other branch-specific) approaches is grounded on economic feasibility; 5) The conditions/criteria of determination of factors of fundamental impact on the system of ‘space law’ are developed; 6) The feasibility of consideration of the combination of challenging issues of space law as the components of the branch specific legal coordinate system is confirmed; 7) It is revealed that meeting priority issues leads to an updated actualization of other unsettled issues of diverse-level within the system of ‘space law’; It is justified that: 8) under actual trends actualization of branch-specific legal issues and their regulation is less dependent on relevant state’s technological potential and more on inclusion in global economic projects and political processes; 9) consideration of matches and differences under specific criteria between international legal and national legal approaches behind the two alternative international partnerships would bring forecasting on perspectives on ‘space law’ closer to real development.Discussion and conclusion. It is reasonable to consider as conceptual foundations for branch-specific risk management the creation of conditions (primarily of economic, technological and strategic character): for transformation of ‘common denominator’ of international legal and national legal approaches of the two international partnerships to the willingness of competing states to harmonize their positions on additional multilateral treaty regulation of issues subject to international space law; as well as for that competition leads to ‘balancing’ of commitment to international obligations, and inclusive development of diverse elements of the ‘space law’ system.

ENVIRONMENTAL ASPECTS IN THE CONTENT OF HISTORICAL EDUCATION

The article analyses the processes of content transformations in the context of educational reform: the implementation of the New Ukrainian School concept and higher education, which outline the key issues of optimising the structure and content of the historical educational field of knowledge. The basis for these processes is the modernised State Standard of Basic Secondary Education and transformations in the content of professional training in higher education. The authors note that certain content transformations of the history curricula are underway, filled with new cross-cutting lines that include the issue of environmental education, the development of knowledge competencies in environmental protection and issues in the «human-nature» problem field. A special place in this context belongs to the development of cross-cutting knowledge of the history and impact of human activity on nature, land, rivers and seas, flora and fauna, climate, etc. The authors describe the main components of the Concept of Environmental Education in Ukraine (2001) and highlight its principles: comprehensiveness, continuity, and dissemination among the population, taking into account individual professional interests, incentives, and peculiarities of social and territorial groups to preserve the national natural landscape. Modern environmental/ «green» education is an ongoing and meaningful process of forming an environmental outlook, environmental awareness and culture in all segments of the population, social groups and society as a whole. It is the process of mastering a range of knowledge (historical, mathematical, natural, etc.) about the laws of functioning, life of all living things, ecological systems and the role of humans in preserving the natural environment; the process of individual environmental education and training, mastering professional knowledge and skills necessary for environmental protection and preservation of the fundamentals of natural landscapes. The purpose of the article is to study the content features of historical education through the prism of the ecological worldview of man, its genesis in understanding his active influence on nature in the course of history. The authors come to the conclusion that it is important to introduce environmental education into the content of all disciplines of secondary and higher education.

Look at what the real facts and experts say! The use of expert references and objectivity claims in disinformation: A qualitative exploration and typology

The popular assumption that mis- and disinformation are distinguishable from true information based on easy-to-identify content features is challenged in an online context where multiple claims of truthfulness compete for legitimacy. When conventional and alternative narratives both rely on seemingly objective and fact-based truth claims, it is difficult for citizens to separate false from true information. In this setting, we rely on an inductive qualitative analysis of social media and alternative media platforms to explore how mis- and disinformation refer to expertise and objectivity. Our main findings suggest that expertise and objectivity in mis- and disinformation can be legitimized by (1) quoting or involving message-congruent alternative experts; (2) selectively decontextualizing or quoting established experts; (3) contrasting ‘honest’ alternative experts/critical citizens to ‘dishonest’ established experts; (4) emphasizing people-centric expertise, common sense, and critical thinking as foundations of truth-telling; and (5) referring to visual information and lived experiences as direct reflections of reality. The typology aims to inform empirical research on the detection of mis- and disinformation and can be applied in the design of interventions to raise awareness about how false information signals legitimacy.

Political social media bot detection: Unveiling cutting-edge feature selection and engineering strategies in machine learning model development

Over time, social media bots (SMBs), specifically political SMBs, have played a crucial role in influencing and spreading misinformation, manipulating public opinion, and harassing and intimidating users of online social networks (OSNs). This article aims to study previous works on the detection and analysis of political SMB activities and address critical challenges that significantly impact the effectiveness of SMB detection models. These challenges include feature engineering, feature selection (FS), and model implementation. Over 33 features were extracted from the Twibot-20 dataset, including content, user information, network, behavior, and temporal features. Various FS techniques are explored and compared to select the optimal features, comprising basic, filter, wrapper, embedded, and hybrid. The optimal features are then employed to train multiple machine-learning algorithms. To balance the dataset, the synthetic minority oversampling technique coupled with edited nearest neighbors (Smote-ENN) is used. The results showed an improvement in model performance, from an initial Area Under the Curve (AUC) of 90.40 % and accuracy of 81.60 % using the original set to a score of 99.50 % for the test set and 100 % for the training set in all used metrics. Decision Trees, Random Forest, Gradient Boosting, Adaboost, XGB, and Extra Trees emerge as the most effective for detecting political SMBs.

Research on domain ontology construction based on the content features of online rumors

Online rumors are widespread and difficult to identify, which bring serious harm to society and individuals. To effectively detect and govern online rumors, it is necessary to conduct in-depth semantic analysis and understand the content features of rumors. This paper proposes a TFI domain ontology construction method, which aims to achieve semantic parsing and reasoning of the rumor text content. This paper starts from the term layer, the frame layer, and the instance layer, and based on the reuse of the top-level ontology, the extraction of core literature content features, and the discovery of new concepts in the real corpus, obtains the core classes (five parent classes and 88 subclasses) of the rumor domain ontology and defines their concept hierarchy. Object properties and data properties are designed to describe relationships between entities or their features, and the instance layer is created according to the real rumor datasets. OWL language is used to encode the ontology, Protégé is used to visualize it, and SWRL rules and pellet reasoner are used to mine and verify implicit knowledge of the ontology, and judge the category of rumor text. This paper constructs a rumor domain ontology with high consistency and reliability.

Are HRM practitioners required to possess competence in corporate ethics? A content analysis of qualifications in Australia and Asia

Ethical cultures, corporate social responsibility (CSR), and sustainability strategies are increasingly being addressed through formal organisational policies and structures. This is evidenced by codes of ethics, conduct, whistle-blowing reporting lines, anti-bribery and corruption policies, and broader stakeholder and environmental engagement strategies. In the United States, corporate ethics managers are responsible for these functions, supported by specific professional and university-level qualifications. However, this is not the case in Australia and Asia where the role appears delegated to human resource personnel in organisations. Human resource management (HRM) is increasingly advanced as a formal profession, yet whether corporate ethics content features as a significant component of the HRM profession is unclear. Expert knowledge is a foundation of a profession along with the duty to act within the limits of that knowledge and expertise. This paper scopes what constitutes professional expert knowledge. It examines corporate ethics expertise and HRM within this context. Major Australian and Asian organisations are examined to verify that HRM Departments, and thus HRM practitioners, are responsible for managing corporate ethics. Given the seniority and strategic importance of this function, the content of selected Masters in HRM and related fields are examined to identify the extent of ethics content. This is considered in the light of the expertise required to manage corporate ethics, and conclusions are drawn whether the HRM discipline is appropriately qualified to manage this function. Finally, recommendations and further research towards advancing the role and function of corporate ethics managers in general are proposed.

Prominent or subtle: The impact of brand prominence on social media advertisement engagement

Brand prominence is a persuasive content feature of social media advertisements (SMA). Drawing on communication and persuasion theory, our research explores the effect of brand prominence on SMA engagement and its mechanism through five scenario-based experiments. The results suggest that high (vs. low) brand prominence lessens consumers' SMA engagement, but this basic effect is moderated by self-brand connection and perceived role overload. Cognitive ad avoidance mediates these effects. These results reveal that brand prominence in SMA hurts persuasion effects. Our research (1) enriches the application perspective of communication and persuasion theory, (2) provides new ideas for research in consumer resource management and contributes to the conservation of resource theory, (3) and complements brand prominence aftereffects research. Also, our findings provide practical guidance for firms’ interaction strategies with consumers on social media.

Deconstructing Digital Rhetoric to Face Geopolitical Challenges: A Social Media Narrative Analysis Framework

Skyrocketing technological advancement along with changes in environment dynamics allowed people, states and governments to influence each other’s diplomacy, security and international relations, using words and images, strings of events, to construct narratives. The rhetoric of power and conflict is distributed in chameleonic volatile environments, targeting members of the society to challenge security status and power balance, while new media instruments feed people`s thirst for information to challenge their beliefs into tailoring attitudes and behaviours. Defined by many as a “portrayal of events surrounding change” (Dunford and Jones, 2000) or as “central feature of modern influencing across borders (Wagnsson and Lundström, 2023) in a continuous “battle”, (Van Noort, 2017), strategic narratives bear multiple meanings, generated by the versatility of the digital dissemination channels. Understanding these meanings enlighten many directions, like international relations, diplomacy and politics, resulting in risk-free engagement, vulnerability- awareness and controlled decision-making policies, just by using narrative analysis as the appropriate instrument. However, the classical analytical models do not provide enough lenses to grasp all the components generating meaning in a digitally disseminated content and many features are thus ignored, mutilating paramount intelligence otherwise needed to complete the picture. That is why, this paper advances a model framework for a digital narrative analysis that looks at components of the textual narrative backed by the features of the environment, the characteristics of the audience and the dynamics of the dissemination, coupled with more recent social media metrics. To this end, we reviewed literature on Russian formalism (Propp, 1928), (Tomashevsky, 1965) structuralist narratology (Todorov 1969, Genette 1988, Bal 1977), poststructuralism (Chatman,1978) and postclassical narratology (Herman, Fludernik, 1999) to the most recent digitally related approaches (Georgakopoulou, 2020), (Bal, 2021) and then advanced our analysis framework that adds specific traits which social media environments enhance. We thus intend to contribute to the large body of literature with an analytical model, to render a mould of the strategic narratives in the security, defence, politics and international relations.. This paper is part of a larger study, the framework will be piloted in further research, where data will be gathered to validate the model.

Интернет-комментарий как сетевой жанр: общая характеристика, диалогический потенциал, проблемы классификации

The article deals with current problems of modern communicative linguistics and network genre studies. The author presents general characteristics of such a relatively new network genre as Internet commentary. The research emphasizes dialogical orientation of this genre, which meets the urgent need of Internet users for feedback and represents a media embodiment of the addressee factor that is in demand and meets the spirit of the times. Internet commentary is characterized as a reactive (responsive) Internet genre, the texts of which are thematically, structurally, semantically and pragmatically closely related to the original (root) message (post) and form a kind of dialogic unity with it. The author offers a multi-level classification of Internet comments, taking into account the following characteristics: 1) attribution to the Internet resource; 2) discursive affiliation; 3) the nature of the stimulus that caused the reaction (text or polycode stimulus, video content with verbal accompaniment, video content without verbal accompaniment, etc.); 4) place in the information and commentary block; 5) structural characteristics (linear length; mono-code / poly-code); 6) content and thematic features; 7) the degree of dependence on the original (root) message.

Research on the Influence of Video Content Features on User Behaviour

Research on user engagement behaviours within User-Generated Content (UGC) video platforms is notably scarce, despite previous studies predominantly focusing on user-level information. This study contends that enriched video information holds significant value. Its objective is to provide a profound understanding of the influence mechanisms of video content features on user engagement behaviours within UGC video platforms. Combining exploratory and quantitative methodologies, the research introduces a highly detailed framework for video content features, covering both cognitive and emotional dimensions. The framework encompasses content richness at the video level and emotional features at the user level. Addressing user behaviours, the study encompasses liking, sharing, saving, and tipping, representing users' varied contributions to the platform. The triggers for user behaviours often originate from diverse motivational intentions. The research focuses on a dual perspective, blending user and video viewpoints when examining video content features. Utilizing linear regression equations grounded in social identity theory and emotional support theory, the study explains the role of video content features in triggering user engagement behaviours. Age and gender serve as moderator variables, exploring behavioural disparities between male and female users and across different age groups. Findings indicate that factors triggering user likes and shares primarily stem from the level of interaction in the comment section, while tipping contributions and video saves are influenced by emotional support during viewing. The study also reveals that sadness enhances user participation intentions, while positive emotions in video characters or commenters diminish user engagement intentions. Lastly, the research adopts web crawling through legally accessible interfaces as the primary data collection method, encompassing 435 videos from 25 food category video authors.

A Review Exploring the Wound-Healing Activity of Self-Healing Hydrogels: Fabrication, Characterization, Mechanism, and Biomedical Applications

The natural physiological response to skin injury is wound healing. However, to restore skin continuity, wound healing is a complicated process that involves the collaboration of a variety of cell types and other mediators. This process ultimately results in tissue regeneration and the restoration of skin barrier function. Hydrogels are appealing dosage forms for biomedical regenerative medicine since they are composed of 3D networks with high water content and flexible rheological features. Hydrogels that can self-heal are particularly interesting for wound treatment because they can autonomously restore their original functionalities and repair structural damage. Recently, the use of self-healing hydrogels as biomedical materials has attracted increased interest. In this review, the self-healing systems used in tissue regeneration, especially wound healing, will be explored. A focus on the fabrication methods, characterization tests, and mechanism of self-healing will be introduced, along with the biomedical applications of self-healing hydrogels loaded with conventional and therapeutic biomaterials. In addition, the differences between hydrogels and self-healing hydrogels will be discussed.Graphical

Effects of Al2O3 content on the microstructure and performance of Inconel 625-xAl2O3 composite non-skid coatings by plasma enhanced high-velocity arc spraying

The efficient preparation of metal/ceramic composite coatings with excellent performance has been a hot research topic in the field of thermal spraying. In this study, a novel plasma enhanced high-velocity arc spraying (PE-HAS) technique is developed. A series of Inconel 625-xAl2O3 composite non-skid coatings are deposited by PE-HAS with different feeding ratio of alloy wire (1.6 mm in diameter) and ceramic powder (13.5 μm in average particle size). Specifically, the microstructure, mechanical properties, corrosion resistance and tribological performances of the coatings have been comprehensively investigated. Results indicate that all of the composite coatings with different Al2O3 contents are characterized by high densities, low defects (porosity≤3.52 %), strong bonding (≥50 MPa) and high friction coefficient (≤ 1.034). The coatings with low Al2O3 content feature a more homogeneous structure and superior bonding strength. The microhardness and wear resistance of the coatings increases significantly with increasing Al2O3 content, which should be attributed to the formation of many localised enhancement areas composed of different forms of Al2O3 phases. It is worth noting that the unique feedstock feeding method promotes the formation of the in-situ double-layer structure of coatings with high Al2O3 content, which further improves the wear and corrosion resistance. However, the friction coefficient gradually decreases when the Al2O3 content is too high, thus affecting the anti-slip performance of the coating.