Technology For Dissemination Research Articles

Integrating computing techniques in preserving Makassar’s Pakarena dance heritage

This interdisciplinary study bridges the cultural heritage of the Pakarena dance, a key element of Makassar ethnicity, with contemporary computing and informatics to examine its social implications, particularly in terms of identity formation, community transmission, and narrative preservation. Emphasizing the dance’s crucial role within the Makassar community, the research employs digital technologies for comprehensive data collection, analysis, and dissemination. Utilizing a qualitative framework supplemented by digital ethnography, the methodology includes in-depth interviews and participant observation, enriched with advanced data analysis and virtual reality (VR) presentations. This innovative approach facilitates the digital capture of the narratives and experiences of dance practitioners, cultural experts, and community members, ensuring the preservation of the dance’s cultural narrative and expression. The study reveals that the Pakarena dance is not only a bearer of the Makassar community’s history and traditions but also a platform for individual creativity and cultural identity, adapting while preserving its core in the face of societal shifts. The findings highlight the potential of computing and informatics in cultural preservation, suggesting new methods for documenting, analyzing, and promoting intangible cultural heritage. The study advocates for the use of technology to enhance and perpetuate cultural heritage, especially for younger generations, in our increasingly digital era.

Research on the Transformation and Upgrading of News Media based on the Internet of Things era

The rise of the so-called "Internet of Things" heralds the arrival of innovative improvements in the dissemination technologies that are the basis for the development and improvement of a wide variety of forms of media. It has gone a long way from the early days of digitization and networking, and now it even incorporates intelligence. In the past, it did not have this capability. The widespread adoption of technology based on the Internet of Things will lead to profound shifts in the efficiency of media communication, as well as the transformation and upgrading of communication intelligence, the explosive growth of the communication platform, the emergence of a high degree of integration between "content production" and new communication techniques, and other developments related to these trends. It is generally agreed upon that the Internet of Things will be the primary impetus behind the next age of information technology as well as the expansion of the global economy. It is communicative, modular, and organized when it comes to the transmission of information. The ever-expanding media sector won't be a problem for this roomy facility. People's perspectives on the function of the media will shift as a result of the Internet of Things since it will make it feasible to intelligently update various types of media that are already in existence. Consumers will have access to a broad range of data presented in a number of formats as a direct consequence of the Internet of Things. It is feasible to expand the media applications of the Internet of Things by concentrating on one of these three areas: the development of a new media service system; the production of new media content; or the undertaking of a new media life challenge. This article examines the deconstruction of the primary body of dissemination pertaining to the Internet of Things from five distinct vantage points. Topics covered include the Internet of Things' news dissemination materials as well as dissemination objects. There are a number of different ways in which the framework of news dissemination may be made more effective, including bringing it up to date, enhancing its function, improving its platforms, fortifying its content, and increasing the breadth of its coverage. In terms of rebuilding and reconstruction, talk about the positive and constructive functions that modern information technology plays in the news broadcasting industry. In addition, the purpose of this article is to investigate the impact that the Internet of Things has on the method by which news is disseminated and the media business as a whole, as well as the relationship that exists between the social application of IoT technology and the news media. This article will hopefully widen the breadth of usage for internet of things technology in the news distribution sector by investigating a variety of different techniques. It is anticipated that in addition to accomplishing this goal, this work will also contribute to the proliferation of conventional media.

Virtual Reality Technology for the Digital Dissemination of Traditional Chinese Opera Culture

Traditional opera, vital to China’s intangible cultural heritage (ICH), is grappling with low dissemination efficiency and an inability to meet evolving aesthetic preferences in the era of new media. We combined virtual reality (VR) technology with traditional Chinese opera (TCO) to allow users to learn about this musical art form through an immersive experience and facilitate its digital diffusion. To verify this approach’s effectiveness, this research involved the construction of a hypothetical model based on the technology acceptance model (TAM), then surveys were administered to 340 participants and data were analyzed using SPSS26 and AMOS27. The results indicate that perceived visual design positively impacted perceived usefulness (PU), self- efficacy and personal innovativeness had significantly positive impacts on perceived ease of use (PEOU). Moreover, perceived playfulness exerted a noticeable impact on PU, PEOU, and intention to use (ITU), PU and PEOU indirectly influenced ITU through attitude. Our findings provide theoretical support for predicting public acceptance of learning about TCO through VR and insight into the transmission of other ICH items through VR.

Study on the effect of dissemination of Luo and Yue rice culture in multimedia technology-assisted rural cultural revitalization

Abstract Algorithmic recommendation is an important means of using multimedia technology for cultural dissemination and helping rural cultural revitalization. In order to realize the effective dissemination of Luo Yue rice culture, this paper constructs a hybrid recommendation algorithm that recommends videos about Luo Yue rice culture according to user preferences, which uses the cultural content relationship derived from LDA to replace the recommendation list generated by collaborative filtering and crosses it with the historical rating recommendation list to solve the problems of recommendation accuracy and cold start. The analysis of the dissemination effect shows that the average MAE value of this paper’s algorithm is 0.671, the proportion of users who watch relevant videos “occasionally” and more frequently has increased by 5.84%, and users recognize the recommendation method. The algorithm proposed in this paper has a good recommendation performance and helps to disseminate rural culture, as demonstrated by the above results.

Prospects and challenges of using information and communication technology for managing indigenous knowledge in Nigeria

The emergence of new technology and methods of communication on are changing the way we access knowledge. These digital technology changes have serious effects on indigenous knowledge and its documentation and also create new challenges for indigenous communities. Consideration should be given to how these technologies are used to maximize the benefits and lessen the negative effects of over exploration of indigenous resources and also prevent unauthorized use of indigenous knowledge and intellectual properties by the external world. Furthermore, in Nigeria, communities, organisations and the government are also realising the value and significance of Indigenous Knowledge and the importance of preserving it for future generations. This paper, therefore, explores Indigenous knowledge as a concept, identifies Intellectual Property law protecting Indigenous knowledge in Nigeria and discusses the role of technology in documentation, dissemination and preservation of Indigenous knowledge as whole. The benefit of using ICT identified are increase of cultural activism, exchange of information on indigenous activities and practices, while lack of infrastructure, Incessant power failure/lack of electricity, lack of ICT awareness and negative attitudes towards ICT, communication preferences and geographical location are some of the challenges of using information and communication technology in the management of indigenous knowledge.

A Prototype Development of a Mobile Schedule Viewer Integrating QR Code Technology and Decorator Design Pattern for Effective Dissemination of Class Schedules

Class schedules undergo continuous changes with each new release, making manual scheduling a complex task. To address this issue, this study proposes integrating a mobile application that enables students to promptly access their accurate class schedules. A prototype mobile schedule viewer was developed to identify and resolve conflicts arising from conflicting schedules. The study confirmed the functionality and stability of the spreadsheet application, as the mobile schedule viewer successfully employed the decorator design pattern and integrated QR code generator plugins. These plugins facilitated the extraction of existing schedule files from the University Integrated Information System (UIIS). The overall findings indicate that the applications are 95 percent complete in terms of degree of completeness (DOC) and boast a record level of accuracy (RLA) of 95 percent.

Award for Distinguished Professional Contributions to Applied Research: Jennifer C. Wolff.

This award is given to a psychologist whose research has led to important discoveries or developments in the field of applied psychology. "Jennifer C. Wolff serves multiple roles as a licensed psychologist in Massachusetts and Rhode Island. She is an associate professor at The Warren Alpert Medical School of Brown University, a staff psychologist at Rhode Island Hospital and Bradley Hospital, and director of the Adolescent Mental Health Collaborative. Dr. Wolff's program of research involves three primary aims: (a) delineating social, cognitive, and affective mechanisms underlying adolescent psychopathology; (b) translating these findings into treatments; and (c) implementing these treatments in real-world settings. She focuses on emotional and behavioral dysregulation as well as suicide prevention. Her current projects include large-scale data collection in the inpatient setting and improving routine practices and quality of care in inpatient and community settings. She also investigates the use of technology in dissemination and implementation research. Dr. Wolff has pioneered a cognitive behavioral therapy program for inpatient adolescents that includes scaling to train hospital staff. She is an active member of the American Psychological Association, the Association for Behavioral and Cognitive Therapies, and the Division 53 Special Interest Group for Acute, Intensive, and Residential Services. She has served as a peer reviewer/ad hoc reviewer and has authored or coauthored several articles and book chapters. Dr. Wolff's work demonstrates an exceptional combination of clinical practice and applied research and is therefore well-deserving of this distinguished award." (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Data at your fingertips: How the Integrated Data Service is helping to promote collaboration and efficient decision-making in the UK

The Integrated Data Service (IDS) is a cross-government initiative, designed to transform the way de-identified data is made available for vital research and decision-making about our society and economy.
 It will improve the capability for researchers, allowing them to link data effectively through state-of-the-art systems and technologies.
 The IDS will enable more collaborative data research and analysis to take place.
 The service will enable access to data sets from a range of sources, across government departments and Devolved Administrations, presented alongside analytical and visualisation tools. Linking data to help answer complex policy questions is essential for addressing the cross-cutting and complex issues required to improve today’s society. The Reference Data Management Framework (RDMF) makes it possible to link data on a consistent and convenient basis.
 The IDS will link data to provide otherwise untapped insight and to allow rapid analysis on a growing range of integrated data assets. This cross-government service will provide policy makers with robust and collaborative evidence, informing the decisions made across UK society.
 This session will introduce IDS to our academic audience, highlighting the benefits for data suppliers, analysts and the wider public that will be available through standardised data, streamlined data linkage, outputs, and the state-of-the-art dissemination technology.
 Building on the IDS showcase in April 2023, the presenter will outline the timeline for the continued development of the IDS, and how researchers and existing SRS users can get involved. They will also discuss the ongoing SRS to IDS transition.
 The service is open to analysts within the UK government, devolved administrations, and external accredited researchers, such as scientists, academics, and researchers, allowing them to carry out analysis that addresses major societal challenges.
 You will learn the advantages of IDS, and the progression the service has made in the last year. The audience will have an increased awareness of the IDS, how to get involved and what the potential impact will be for analysts, users, contributors, and the public.

Sanskrit in Modern Context: Exploring the use and revival of Sanskrit in contemporary society, including its role in education, literature, and arts

This research explores the use and resurgence of Sanskrit in modern culture with an emphasis on its functions in the fields of education, literature, and the arts. Over the ages, the spoken form of Sanskrit, an ancient Indo-European language famed for its religious, philosophical, and literary literature, gradually declined. However, in recent years, there have been persistent attempts by academics and enthusiasts to restore Sanskrit's importance in a number of fields. This study investigates the use of Sanskrit in contemporary education, including its use in colleges and universities, as well as the difficulties and possibilities associated with teaching and studying this ancient language. The research also looks at the impact of Sanskrit on modern literature and the arts, including classical dance, music, and theatre. Additionally, it explores the language's function in religious and philosophical discourse, illuminating its importance in the preservation and dissemination of spiritual and philosophical literature. The article examines Sanskrit's distinctive linguistic traits and its contributions to contemporary linguistic research, especially its importance in the reconstruction of Proto-Indo-European and comparative linguistics. The study also emphasises the role of technology in text preservation and dissemination, as well as the digital resources accessible for studying Sanskrit and exploring its literary riches. It emphasises the necessity for ongoing efforts to conserve and develop this ancient language as an important cultural and intellectual asset in the modern world by reflecting on the difficulties and chances for Sanskrit in the future.

The Real Effects of Modern Information Technologies: Evidence from the EDGAR Implementation

ABSTRACTUsing the implementation of the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system from 1993 to 1996 as a shock to information dissemination technologies, we examine how a significant reduction in disclosure processing costs affects the real economy. We find that the EDGAR implementation leads to an increase in corporate investment and that this effect is concentrated in value firms. We provide evidence that improved equity financing and enhanced managerial incentives are likely the underlying mechanisms. Specifically, the EDGAR implementation leads to an increase in a firm's stock liquidity, a decrease in the cost of equity capital, and an increase in the level of equity financing. Consistent with the monitoring effect of broad information dissemination, the EDGAR implementation leads to an increase in a firm's operating performance. Our findings suggest that it is important to consider information dissemination beyond information production when examining the real effects of corporate disclosures.

Management path optimization of accordion music course education based on big data technology analysis

Abstract With the continuous development of information technology, especially the rapid development of big data technology, the coverage and effectiveness of information application and dissemination have increased substantially. With the current innovation and development of music management education mode, the traditional accordion course management mode also changed, this paper makes full use of big data technology to optimize the accordion course education management path, mainly through the construction of an accordion score database and retrieval system, the closer the data mining algorithm calculation result is to 1, it means that the data mining result is more similar to the actual result. The experimental analysis result is equal to 1, which indicates that the data mining result of this study is similar to the actual result, which is conducive to the intelligent management under the analysis of big data technology for music course education, improving students’ learning interest and passion, improving the teaching quality of learning, and facilitating the teaching management work of university leaders. And it can be further based on the big data era, grasp the trend of the big data era, and understand the level, learning needs, and personal characteristics of students, analysis can be seen that accordion course education management based on big data can make different learning plans for different levels of students, which is conducive to improving management quality and efficiency at the data level.

Integrating machine learning with linguistic features: A universal method for extraction and normalization of temporal expressions in Chinese texts

Background and ObjectiveWith the rapid development of information dissemination technology, the amount of events information contained in massive texts now far exceeds the intuitive cognition of humans, and it is hard to understand the progress of events in order of time. Temporal information runs through the whole process of beginning, proceeding, and ending of events, and plays an important role in many natural language processing applications, such as information extraction, question answering, and text summary. Accurately extracting temporal information from Chinese texts and automatically mapping the temporal expressions in natural language to the time axis are crucial to understanding the development of events and dynamic changes in them. MethodsThis study proposes a method integrating machine learning with linguistic features (IMLLF) for extraction and normalization of temporal expressions in Chinese texts to achieve the above objectives. Linguistic features are constructed by analyzing the expression rules of temporal information, and are combined with machine learning to map the natural language form of time onto a one-dimensional timeline. The web text dataset we build is divided into five parts for five-fold cross-validation, to compare the influence of different combinations of linguistic features and different methods. In the open medical dialog dataset, based on the training model obtained from the web text dataset, 200 disease descriptions are randomly selected each time for three rounds of experiments. ResultsThe F1 of multi-feature fusion is 95.2%, which is better than the single-feature and double-feature combination. The results of experiments showed that the proposed IMLLF method can improve the accuracy of recognition of temporal information in Chinese to a greater extent than classical methods, with an F1-score of over 95% on the web text dataset and medical conversation dataset. In terms of the normalization of time expressions, the accuracy of the IMLLF method is higher than 93%. ConclusionsIMLLF has better results in extracting and normalizing time expressions on the web text dataset and the medical conversation dataset, which verifies the universality of IMLLF to identify and quantify temporal information. IMLLF method can accurately map the time information to the time axis, which is convenient for doctors to intuitively see when and what happened to the patient, and helps to make better medical decisions.

Nuove tecnologie e sostenibilità: dal rilievo alla comunicazione per il Museo di Casa Romei di Ferrara, città Patrimonio UNESCO

The paper, taking the Museum of Casa Romei in Ferrara - an UNESCO heritage city - as a case study, explores some new technologies, ranging from surveying to digital communication and investigates their potentialities in improving the sustainability of cultural heritage. The work pursues the dual value of analyzing new tools and providing research products useful for the enhancement of the specific site, favoring the dissemination of consolidated tourist flows from the major monuments of Ferrara to the more peripheral historical urban fabric. Through the theme of analysis, documentation and archiving of architecture and its context, the research - addressing specific themes of integrated and multi-scale survey, 3D processing, 2D drawing, interactive data storage - examines the use of digital technologies for multi-level dissemination of the cultural assets and their possibilities as tools for accessibility and inclusivity.

RegTech Adoption and the Cost of Capital

This paper studies the cost of capital effect of a major regulatory technology, or RegTech, event: the staggered implementation of the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system of the Securities and Exchange Commission in the period from 1993 to 1996. This event represents a largely exogenous shock to corporate information dissemination technologies, resulting in a considerable reduction in information acquisition costs for investors. Using a difference-in-differences research design, we show that the cost of equity capital declines substantially after a firm switches from paper filing to mandatory electronic filing in EDGAR. The effect is stronger for small firms and firms with low analyst coverage and low institutional ownership. We identify three channels through which EDGAR affects a firm’s cost of capital: the liquidity, risk-taking, and corporate governance channels. EDGAR implementation also improves a firm’s investment efficiency significantly. We find evidence that the marginal value of a firm’s capital investment and cash is higher during the post-EDGAR period. This paper was accepted by Suraj Srinivasan, accounting. Funding: C. Lin acknowledges financial support from the National Science Foundation of China [Grant 72192841] and the Research Grants Council of the Hong Kong Special Administration Region, China [Project HKU R7054-18 and T35/710/20R]. S. Lai acknowledges financial support from the Ministry of Science and Technology, Taiwan [Grants 107-2410-H-002-038-MY3 and 110-2410-H-002-079-MY2] and the E. Sun Academic Award. X. Ma acknowledges research support from the University of Macau [Grants SRG2019-00158-FBA and MYRG2020-00259-FBA]. Supplemental Material: Data are available at https://doi.org/10.1287/mnsc.2022.4660 .

Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review

Management of crowd information in public transportation (PT) systems is crucial, both to foster sustainable mobility, by increasing the user's comfort and satisfaction during normal operation, as well as to cope with emergency situations, such as pandemic crises, as recently experienced with COVID-19 limitations. This paper presents a taxonomy and review of sensing technologies based on Internet of Things (IoT) for real-time crowd analysis, which can be adopted in the different segments of the PT system (buses/trams/trains, railway/metro stations, and bus/tram stops). To discuss such technologies in a clear systematic perspective, we introduce a reference architecture for crowd management, which employs modern information and communication technologies (ICT) in order to: (i) monitor and predict crowding events; (ii) implement crowd-aware policies for real-time and adaptive operation control in intelligent transportation systems (ITSs); (iii) inform in real-time the users of the crowding status of the PT system, by means of electronic displays installed inside vehicles or at bus/tram stops/stations, and/or by mobile transport applications. It is envisioned that the innovative crowd management functionalities enabled by ICT/IoT sensing technologies can be incrementally implemented as an add-on to state-of-the-art ITS platforms, which are already in use by major PT companies operating in urban areas. Moreover, it is argued that, in this new framework, additional services can be delivered to the passengers, such as, e.g., on-line ticketing, vehicle access control and reservation in severely crowded situations, and evolved crowd-aware route planning.

The Information Revolution in the Post-Industrial Society: Dangers in Political Processes

The relevance of the study lies in the fact that the information and computer revolution has made it possible to create and include in the system of social circulation such information flows, which are currently sufficient to ensure the most rational use of nature, demographic, economic, industrial, agricultural and spiritual and cultural development of mankind. The phenomenon of the information revolution is the result of two parallel processes that can develop throughout history: an increase in the role and volume of information necessary to ensure the full existence of society, and improvement in the technology of information accumulation and dissemination. Information technology has been integrated into the current social and economic space. The use of computers and telecommunications has influenced an unprecedented intensity of communicative interactions. These processes affect the stages of social development. The article analyzes the current understanding of the fourth and fifth information revolution. The problems of economics, management and post-industrial society are considered. An attempt is made to synthesize the models of foreign and domestic researchers. The article considers the existing theoretical approaches to the explication of political security, highlighted such its component as information and political security, and this author's interpretation of the latter. The limits of the information-political security, allowing to separate it from other types of security, depending on the information are established. The influence of information on the formation of information and political threats affecting the information and political security of the country is considered.

Understanding Post-Stroke Movement by Means of Motion Capture and Musculoskeletal Modeling: A Scoping Review of Methods and Practices

Research of post-stroke locomotion via musculoskeletal (MSK) modeling has offered an unprecedented insight into pathological muscle function and its interplay with skeletal geometry and external stimuli. Advances in solving the dynamical system of post-stroke effort and the generic MSK models used have triggered noticeable improvements in simulating muscle activation dynamics of stroke populations. However, a review of these advancements to inform the scientific community has yet to be made.: PubMed and Scopus databases were used to perform a thorough literature search to identify relevant articles since 2010. Here, we review MSK methods and practices—developed in the last ten years—that have been utilized to explore post-stroke locomotion and examine how their outcomes can inform clinical practice.: Out of the 44 articles that were initially found, 19 were reviewed. The articles were categorized with respect to the type of assessment the MSK methods were used for.: This review notes the considerable competence of existing methods to address post-stroke motion deficits. However, the drawbacks in the implementation of such methods by non-experts due to the high skill demand and the lack of mature software technology for further dissemination of practices and outcomes remain non-trivial.

Narratives vs Ideology: new Dimensions of the Formation of National Unity in Ukraine

The aim of the article is to justify innovative approaches for ensuring the self-sufficiency of the social system and the integrity of society. The article is based on the interdisciplinary approach and such general and special scientific methods: analysis, synthesis, functional, axiological, comparative, generalization, system analysis, modelling. It has been concluded that a narrative approach has to be used to ensure the consolidation of the nation and the establishment of consensus between institutionally different subjects of public administration. The types of narratives have been singled out: meta-narrative, strategic narrative, narrative, counter-narrative; and the structure of the narrative has been offered: process from the object’s position, from the subject’s position and as a synthetic narrative. The authors have substantiated strategic communications as technologies of narrative dissemination and have developed their concept. The authors of the article have proved that strategic communications ensure the synchronization of narratives and their coordination with the national idea and government actions in the process of information and communication activities of the state.

Fluid space: Digitisation of cultural heritage and its media dissemination

From the mechanical reproduction outlined by Benjamin to the virtual reality depicted by Baudrillard. With the advent of the information society and the digital age, the dissemination of cultural heritage is gradually moving away from the traditional face-to-face embodied presence toward digital communication that transcends the limits of space and time. Our visual experience has also shifted from the traditional creation and reception of visual images to the invention and immersion in new worlds of spectacle. Virtual reality is a representative new technology in the digital media era, which not only realises the digital simulation of cultural heritage from physical space to cyberspace but also incorporates the characteristics of virtual visual culture into it, freeing heritage sites from the inherent material bulkiness and becoming a lighter, more fluid space, releasing the unlimited possibilities of spectacle simulation. Virtual reality technology has not only reshaped the technology of image viewing and production, but also the technology of image dissemination. Taking cultural heritage sites as an example, this paper will explain the role and impact of virtual technology on the digitisation of cultural heritage and its media dissemination from three aspects: interactivity, spatial perception and cultural value presentation. Based on the analysis above, the involvement of virtual reality in the digitalization of cultural heritage has expanded the types of images in visual culture. Besides pictures, video and scene, it may offer a potential dimension in the quadrants of dynamic and 3D.

Optimal Allocation Method of 5G Communication System Resources Assisted by Artificial Intelligence Technology

5G technology has been rapidly developed under the trend of utilization in various countries. It is an information dissemination technology with faster and more stable transmission speed. Compared with 4G technology, 5G technology has a low delay rate and higher transmission speed, and it can be applied in tasks such as the Internet of Vehicles and the transmission of 3D images. For 5G technology, the communication system is a huge challenge. It not only needs to deal with the transmission speed between users and users but also needs to deal with the efficiency between users and channels. 5G researchers will spend a lot of material and financial resources to solve these problems. This study uses artificial intelligence technology to analyze its application in resource allocation of 5G communication systems. It also uses the collaborative filtering algorithm to realize the automatic recommendation and matching problem of 5G communication system resources. The research results show that artificial intelligence technology has good feasibility in the resource allocation problem of 5G communication system. It can achieve the resource allocation task of 5G technology communication system with high efficiency and accuracy, and all prediction errors are within 3% for the characteristics of the three 5G communication systems in this study.