Information Platform Research Articles

CONCEPTUALIZATION OF JOURNALISTIC TEXT AS A CULTURAL PHENOMENON (USING THE EXAMPLE OF THE URAL FEDERAL DISTRICT)

Currently, in the context of digitalization of the media, the key question is the criteria for evaluating a journalistic text, its effectiveness, and to what extent a particular media text responds to a social request. At the same time, within the corpus of Russian journalistic texts, a group of regional / community/local journalistic texts should be distinguished, which, without any doubt, have a number of distinctive features. The authors of the article consider the unity of the conceptual space to be one of the key such features (or evaluation criteria). The article presents the experience of analyzing about 500 texts of Ural journalists. The main goal is to select the basic concepts on the basis of which, according to the hypothesis, the Ural community journalistic text is organized as a kind of integral structure / system, as a cultural phenomenon. With the help of the Advego online SEO analysis program, a set of basic concepts for community journalism of the Ural Federal District was determined, determining its relative uniqueness and sustainability.The article also presents a conceptual analysis of two texts posted on regional information platforms in the Ural region.The analysis of theoretical research in the field of philological regionalism and a fairly extensive amount of empirical data obtained gives researchers the opportunity to conclude that the unity of the conceptual space determines not only the integrity and uniqueness of the mental field of the inhabitants of the Ural Federal District, but also allows us to talk about the existence of the Ural journalistic text as a cultural phenomenon.

Information Support or Emotional Support? Social Support in Online Health Information Seeking among Chinese Older Adults.

Online Health Information Seeking (OHIS) serves as an alternative form of social capital that can help older adults alleviate offline medical-related stress. This study collected and analyzed user interaction data from Patient-to-Doctor and Patient-to-Peer platforms and compared the roles of social support between them. Significant differences were identified in the dimensions of social support (information, emotional, and companion) on the Patient-to-Peer platforms compared with Patient-to-Doctor platforms (p < 0.05). The overall and core-core network density values for social support on Patient-to-Peer platforms were higher than those on Patient-to-Doctor platforms. Patient-to-Doctor interactions focused on information support, displaying a more centralized and efficient network with structural holes pertaining to treatment effects. By contrast, Patient-to-Peer interactions provided more emotional support, with a dispersed and redundant network containing structural holes related to individual information. Companion support was found to be weaker on both platforms. Additionally, digital literacy, surrogate seeking, and altruistic information significantly explained the variances between the two platforms (p < 0.01), with surrogate seeking playing a crucial role. These findings enhance our understanding of OHIS disparities among older adults and their surrogates, offering valuable insights for developing effective support systems and regulatory frameworks for health information platforms.

INTELLIGENT INFORMATION TECHNOLOGIES FOR PROACTIVE ENTERPRISE MANAGEMENT

Industrial enterprises are essential to a country’s economy, providing diverse, high-quality goods, technologies, and services. To remain sustainable and efficient amidst rising production demands and stiff competition, these enterprises must adopt innovative management techniques. Each enterprise has a mission, resources, technologies, and strategies to achieve its varied goals, with dominant economic goals like income, profitability, and market share interlinked and affecting one another. A competitive enterprise’s overall goal should align its growth with market trends while proactively managing its operations. Proactive management involves either passively aligning with market trends or actively influencing them by introducing new products and services. The mismatch between an enterprise’s growth and market trends can flag potential problems or crises, underscoring proactive management’s role in preempting issues. This strategy, though simple, is vital for an enterprise’s survival, sustainable operation, and efficient growth in a fiercely competitive environment with escalating production of quality goods and services. Therefore, an urgent issue is developing an information platform based on appropriate mathematical models and methods that facilitate the implementation of proactive management of industrial enterprises and create the basis for predicting possible problems in production and taking measures to prevent them. Integrating advanced technologies like Artificial Intelligence, Big Data Analytics, and the Internet of Things enhances the proactive management system’s capability. These technologies enable real-time data collection and analysis, providing enterprises with critical insights and allowing them to anticipate market shifts and operational challenges. By leveraging these tools, enterprises can make more informed decisions, streamline their processes, and achieve higher operational resilience and flexibility. Industry 4.0 and 5.0 can significantly support Ukrainian manufacturing during the war. Thanks to automation and robotics, it is possible to maintain production even in the face of limited access to labour or hazardous working conditions. Artificial intelligence and advanced analytical systems can help optimise logistics, inventory management, and production processes despite disruptions caused by military actions. In conclusion, proactive management is not just a strategic choice but a need for industrial enterprises aiming to thrive in today’s fast-paced and highly competitive market. By incorporating cutting-edge technologies and adopting a forward-thinking approach, enterprises can ensure long-term sustainability, improved performance, and a better competitive edge. Keywords: proactive management, information modelling, industrial enterprise, artificial intelligence, Industry 4.0 / 5.0.

The Use of Social Media on Enhancing Dental Care and Practice Among Dental Professionals: Cross-Sectional Survey Study.

As digitalization continues to advance globally, the health care sector, including dental practice, increasingly recognizes social media as a vital tool for health care promotion, patient recruitment, marketing, and communication strategies. This study aimed to investigate the use of social media and assess its impact on enhancing dental care and practice among dental professionals in the Philippines. A cross-sectional survey was conducted among dental practitioners in the Philippines. The study used a 23-item questionnaire, which included 5 questions on dentists' background and demographic information and 18 questions regarding the use, frequency, and purpose of social media in patient advising and quality of care improvement. Data were analyzed using SPSS software, with frequency distributions and χ2 tests used to assess the association between social media use and demographic variables and the impact on dental practice. The 265 dental practitioners in this study were predominantly female (n=204, 77%) and aged between 20-30 years (n=145, 54.7%). Most of the participants were general practitioners (n=260, 98.1%) working in a private practice (n=240, 90.6%), with 58.5% (n=155) having 0-5 years of clinical experience. Social media use was significantly higher among younger practitioners (20-30 years old) compared to older age groups (P<.001), though factors such as sex, dental specialty, and years of clinical practice did not significantly influence use. The majority (n=179, 67.5%) reported using social media in their practice, primarily for oral health promotion and education (n=191, 72.1%), connecting with patients and colleagues (n=165, 62.3%), and marketing (n=150, 56.6%). Facebook (n=179, 67.5%) and YouTube (n=163, 61.5%) were the most frequented platforms for clinical information, with Twitter (subsequently rebranded X) being the least used (n=4, 1.5%). Despite widespread social media engagement, only 8.7% (n=23) trusted the credibility of web-based information, and 63.4% (n=168) perceived a potential impact on the patient-dentist relationship due to patients seeking information on the internet. Social media was also perceived to enhance practice quality, with users reporting significant improvements in patient care (P=.001). The findings highlight that social media is widely used among younger dental practitioners, primarily for education, communication, and marketing purposes. While social media use is associated with perceived improvements in practice quality and patient care, trust in information on social media remains low, and concerns remain regarding its effect on patient relationships. It is recommended to establish enhanced guidelines and provide reliable web-based resources to help dental practitioners use social media effectively and responsibly.

Social Media and Vaccine Intention: The Case of Kuwait

Purpose: The COVID-19 pandemic has underscored our heavy reliance on social media platforms for primary information. Misinformation related to the pandemic has significantly affected behaviors related to vaccine hesitancy and overall business confidence. This study uses the extended Information Motivation Behavior (IMB) model to examine the impact of pandemic-era social media usage on vaccine hesitancy and trust in e-commerce.Study design/methodology/approach: Structural equation modeling is used to assess the extended IMB model. Sample and data: Online survey data from a diverse cross-section of the Kuwaiti population during the pandemic's peak. Results: Findings highlight the substantial influence of factors such as knowledge, motivation, observational learning-driven motivation, behavioral skills, social media usage, engagement, and consumption on vaccine willingness. This, in turn, significantly impacts trust in e-commerce. Notably, social media use, consumption, and engagement have adverse effects on health behavior, with observational learning-driven motivation being the most influential.Originality/value: This study is one of the few empirical studies that examine and test the impact of e-commerce on the Kuwaiti population during and after the COVID-19 pandemic. The results of this study display the shift in consumer behavior during the pandemic.Research limitations/implications: The study emphasizes the importance of accurate vaccine information dissemination on social media to counter misinformation, ultimately fostering an informed society and contributing to e-commerce growth.

Factores que determinan el uso de las redes sociales como plataformas de información en la Generación Z

The Internet has led to greater accessibility to data, information and, therefore, knowledge. The use of social networks arises in this context, and is the main interaction tool among generation Z. Objective: The objective of this article is to describe the factors that determine the use of social networks as an information platform by generation Z. We want to analyze their performance expectations, their effort expectations, their social influence and the facilitating conditions, based on the UTAUT model. Methodology: To this end, a univariate analysis was carried out based on frequency distributions of a selection of key questions obtained from an online survey distributed to 190 young people from private universities in Madrid. Results: The main conclusions of this descriptive research are that the university population that belongs to generation Z shows greater motivation towards being present on social networks compared to using them as a source of information. Limitations: Generation Z presents behavioral patterns that must be studied in their context to achieve a thorough analysis of their motivations on social networks. Practical implications: Disinformation is a multidimensional concept, related to facts such as disintermediation, media consumption and polarization, which can constitute a broader line of study that helps deepen media literacy. Additionally, Big data applied to European initiatives such as FactCheckEU and Fandango promote the fight against fake news by focusing on fact-checking before publishing.

Performances of the e-Nauka Portal in the Republic of Serbia and Its Significance for Researchers

In recent years, digitalization has been recognized as a significant and necessary process that leads to better results, both in the education and in the scientific research. The legal and strategic framework in the Republic of Serbia follows the modern trends of the concept of open science, open knowledge, digital transformation and a unique digital format of scientific production. The Ministry of science, technological development and innovation, in cooperation with the Office for information technology and electronic administration, created the necessary conditions for dynamic the development of the scientific research and innovation system, especially in relation to the digitalization process and the establishment of an information platform, in the form of a unified national information system of scientific research activities: eNauka [eScience]. The concept of eNauka is an innovative tool that improves the efficiency and transparency of scientific processes in Serbia. The eNauka portal in the Republic of Serbia is dedicated to promoting scientific research, innovation and academic achievements within the scientific community of the Republic of Serbia. This portal provides access to scientific articles, research papers and academic publications authored by researchers from Serbia, which enables the spread of knowledge and the encouragement of scientific cooperation within the country. The eNauka portal was opened in full capacity for all active researchers in Serbia on July 3, 2023, and contains data on scientific research organizations in the Republic of Serbia, researchers and their scientific results. The goal of this paper was to bring closer to the academic community the capabilities and performance of the eNauka portal, its structure, the way and importance of data editing, with special reference to issues related to researchers’ profiles and their editing. The paper is methodologically based on a theoretical, preliminary desk analysis of relevant contemporary standpoints in domestic and foreign theory, a normative analysis of current legislative sources, an inductive and deductive approach in researching the operational performance and advantages of the eNauka portal, as well as the quantitative analysis of relevant statistical indicators of relevant parameters regarding the profile that each researcher has on the eNauka portal. The results include the analysis of data related to editing the researcher’s profile and the opportunities offered by the eNauka portal. The conclusion refers to the importance and advantages of the eNauke portal. Finally, it should be noted that one of the key functions of eNauka is the evaluation of scientific results. More precisely, the system provides the possibility of monitoring and evaluating research results, which is of great importance for the academic community.

What Influences Users’ Continuous Intention to Use Function-Oriented Systems: A Different Impact Mechanism for Patent Information Platforms

Patent information platforms have become crucial for innovators to stay informed about technological advancements. These platforms, distinguished by their function-oriented nature, differ significantly from traditional systems, highlighting the need for research on user behavior impact. This study proposes a research model to investigate how information, system, and interface quality influence continuous use intention, with perceived pleasure and needs satisfaction as mediators. A survey with 468 users was conducted, followed by regression and structural equation modeling for path and mediation analyses. The findings indicate that information and system quality have positive but distinct impacts on perceived pleasure and needs satisfaction, while interface quality affects only perceived pleasure. Needs satisfaction mediates the impact of information and system quality on continuous use intention, whereas perceived pleasure does not. This study introduces a function-oriented scenario into information systems research and identifies the unique impact paths of information and system quality. For these function-oriented platforms, the influence of interface quality on needs satisfaction or perceived pleasure on continuous use intention is insignificant, establishing a new context relevant to pragmatism and push–pull–mooring theories. Practical insights are provided for managers to improve system efficiency and enhance user loyalty.

ИНФОРМАЦИОННОЕ ОБЕСПЕЧЕНИЕ МОРСКИХ НАУЧНЫХ ИССЛЕДОВАНИЙ

According to the decisions of the Maritime Board at the Government of the Russian Federation and the Interdepartmental National Oceanographic Commission, the information platform “Marine Scientific Research” is elaborating by order of the Ministry of Science and Higher Education of the Russian Federation. The platform aims to attract all stakeholders interested in marine scientific research to the integrated information platform, as well as to provide upto-date information on the studies, conservation and use of the World Ocean to a wide range of users, including non-specialists. It has three main thematic areas: marine expeditionary studies, the activities of the Russian Federation within the framework of the goals of the United Nations Decade of Ocean Science, as well as the work of the Interdepartmental National Oceanographic Commission, which also works as National Committee for the Decade. In addition, the platform contains the most relevant news in these areas, information about the main maritime organizations and their activities. A special section of the platform is dedicated to the ocean literacy in a playful way, in particular through “Sea-loving quizzes”. The article discusses the main stages of the platform’s development, the principles of data integration and data sources, as well as the preparation of information and analytical materials for content, the role in popularizing ocean science and the main directions for its further development and integration with similar information resources.

Evolution of dietary patterns in Flanders: an ecological trend study on best-selling cookbook recipes (2008–2018) and their correlation with household purchases

BackgroundWith rising obesity rates in Western societies, analyzing changes in dietary patterns is paramount. While nutritional surveys have been informative, traditional cookbooks have historically shed light on national cuisines and its changes. Despite the growing popularity of online platforms for food information, cookbooks might still reflect prevalent dietary trends and the diets people follow. This study examined (1) the changes in nutritional content and food group usage in the best-selling cookbooks from 2008 to 2018, and (2) the correlation between the food groups in these cookbooks and dietary patterns (inferred from household purchases) over the same timeframe.MethodsAn exploratory ecological study was conducted on 20 main course recipes of each of the five best-selling cookbooks in Flanders annually between 2008 and 2018. Trends in macronutrients and food group usage in these recipes were analyzed using generalized linear models. Additionally, these trends were compared to household purchase data in Flanders using correlation matrices.ResultsOur results reveal a rising trend towards the use of plant-based ingredients and meat alternatives in cookbooks over the period 2008–2018. There was an increase in the usage of vegetables, nuts & seeds, and cheese. Conversely, there was a decline in the usage of meat, sugar & sweeteners, alcohol, and dairy (all p-values < 0.05). In terms of macronutrient content, there was an upswing in carbohydrate, fibre, and sugar levels, while the total fat content showed a decrease (all p-values < 0.05). The levels of protein and saturated fat remained consistent over time. Notably, shifts in plant-based and animal-based food group preferences in popular cookbook recipes align with the trends seen in actual household purchases of these food groups (all p-values < 0.05).ConclusionThese findings indicate that cookbook content evolves over time, potentially reflecting shifts in population dietary patterns. Future research is needed to (1) determine any causative link between cookbooks and any causative link between cookbooks and (2) the potential for cookbooks to aid in health promotion.

Information Platform for Antibiotics.

Antibiotic stewardship is continuously evolving to incorporate results from novel research, clinical findings, and specialist recommendations. Numerous dedicated information sources, including web-based solutions, are available to keep medical practitioners informed. However, the provided information is often extensive, requiring users to extract the relevant facts. This study aimed to deliver an information platform that provides references, links, and information in a straightforward and engaging manner. Implementing a high-fidelity prototype prioritized medical and patient-oriented functionalities, structured around questions and quizzes. Additionally, the platform offers access to professional references, such as official healthcare guidelines and scientific articles. The development process adhered to design principles and included user testing with established usability measures (SUS, Nielsen's heuristics), resulting in satisfactory scores from IT experts and somewhat lower scores from users. Although designed to cater to a broader range of users, more work is needed to improve usability for the general public.

Construction and Practice of an Interactive Virtual English Learning Community on Campus Information Platforms

In the context of the information age, campus information platforms have gradually become essential tools for enhancing educational quality. This paper explores the construction and practice pathways of an interactive virtual English learning community based on a campus information platform, aiming to provide students with a more flexible and efficient English learning environment. By analyzing the current development of campus information platforms and interactive learning theories, this paper proposes the design principles and functional modules of the virtual learning community and elaborates on the technical architecture and practical construction pathways of the community. The research results indicate that the interactive virtual English learning community not only effectively enhances students' learning motivation and outcomes but also strongly supports the innovative practice of English education. In the future, with the development of artificial intelligence and big data technologies, virtual learning communities are expected to achieve greater breakthroughs in personalized learning recommendations and intelligent interaction.

Efficient Departmental Coordination: Real-Time Schedule Display using Arduino

This project tackles the time-consuming task of schedule management for Heads of Departments (HODs) by developing a dynamic, automatic display system. Utilizing an Arduino microcontroller, an RTC module, and a P10 LED display (16x32), the system displays their one-week schedule in real-time, updating automatically each day. Bluetooth connectivity empowers adjustments to the schedule through an external device, offering flexibility and control. Utilizing a P10 LED display for clear visibility, it automatically updates with the real-time clock. Schedule information is embedded within the code for reliability, and the display format is divided for time and detailed schedule. Prioritizing eco- friendliness, it uses low-power components. This project aims to improve departmental communication, transparency, and efficiency by providing a clear and accessible platform for HOD schedule information.

Evaluating financing risk for forest recreation value development project—A case study focused on S National Forest Park in Fujian Province

In the process of forest recreation value development, there are some characteristics, such as large amount of investment capital, long financing recovery cycle and high potential risks, which lead to limited capital source and prominent financing risks. To achieve sustainable development, forest recreational value development enterprises must solve the financing dilemma, therefore, it is very urgent to identify the financing risk factors. The research constructed financing risk evaluation index system through WSR (Wuli-Shili-Renli) methodology (from affair law, matter principle and human art dimensions), taking S National Forest Park at Fujian Province as a case study, the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method were used for empirical analysis. The results showed that for the first level indicators, operational risk should be paid close attention to, followed by political risk and environmental risk. Among the secondary level indicators, policy changes, financing availability and market demand need attention, which are consistent with the result of field survey. Based on that, countermeasures were put forward such as the multiple collaborative linkage and effective internal control; reduction on operating costs and broaden financing channels; encouragement diversification of investment entities and improvement of financial and credit support; strengthening government credit supervision, optimizing financing risk evaluation, and building a smart tourism financing information platform, to reduce and control financing risks, then promote the development of forest recreation value projects.

Digitalization and Technology in the Fight Against Crimes, Related to Pharmacy Drug Addiction

In modern society, digitalization and technology play a key role in the fight against crimes related to drug addiction. This study examines various aspects of the use of digital technologies to combat prescription drug abuse and drug trafficking. The introduction of electronic prescriptions, centralized systems for monitoring drug sales and digital patient databases makes it possible to effectively monitor and control the process of prescribing and receiving drugs. The use of artificial intelligence and big data analytics helps identify patterns associated with drug addiction and early detection of abnormal activities. Online platforms for public information and education, as well as mobile applications for self-control and support, have a significant impact on preventing the development of addiction. As a result, digital technologies provide significant support in the fight against pharmacy addiction by increasing transparency, accountability and safety in the pharmaceutical field.

In the Context of Dual Carbon, the Application of Advanced Technology in the Digital Economy

The digital economy which counts on the application of information nets and platforms is serving as the main element for the development of modern economic system. In China, this has resulted in production competence, the construction of new occupations, and a synergistic effect in countless trades. China has been catching up speedily and getting into online retail trades by a great margin. The digital economy overall increases carbon release. The nation must engage in a strategy that can enhance the adoption and advantage of the digital economy and at the same time can also decrease the impact of technology on its environment. This paper discusses the application of advanced technology in the digital economy of China in the context of dual carbon.

Early warning system on harmful aquatic organisms at a regional sea scale: Components and mechanisms

The introduction of harmful aquatic organisms and pathogens (HAOP) via the ballast water of ships can endanger human health, the environment, economic resource-related systems, as well as impair biological diversity. Early warning systems (EWS) are highly effective instruments for mitigating risks and enhancing readiness in the face of potential disasters, including those resulting from HAOP. The establishment of a regional EWS for the identification and notification of harmful organisms is a complex marine policy process involving communication with stakeholders, technical development, engagement of regional knowledge, and, ultimately, harmonization between key authorities and Participating States. The purpose of EWS is to promptly communicate the findings of HAOP to the appropriate stakeholders, such as government agencies and commercial companies. The paper elucidates in detail the criteria and procedure for developing a regionally standardized EWS, including its mechanism, the technical information platform that is required, and the obligations of EWS data providers. It also discusses the decision-making process for issuing alerts and identifies the intended recipients of the warning signals. The system has been operational in the Baltic Sea region for over two years, and the knowledge and insights gathered during its development may prove beneficial in other areas as well.

Strategic demand information sharing in an e‐commerce supply chain: The effect of the supplier's pricing timing

AbstractThe paper studies strategic demand information sharing on online retail platforms and explores how it is influenced by the wholesale pricing timing. The supplier sells the product under a wholesale price contract indirectly and by paying a proportional commission fee directly. We investigate both ex ante and ex post information sharing arrangements. Under each arrangement, the supplier needs to determine the sequence of the wholesale price setting and the information sharing stage. We find that (1) under ex ante information sharing, if the supplier sets the wholesale price before, the online platform always shares private information; otherwise, it prefers to share only when the commission fee is large. Interestingly, the online platform's information sharing incentive is independent of signal accuracy and market variability. (2) Under ex post information sharing, the online platform may manipulate the signal shared with the supplier. We characterize the conditions and influencing factors of truthful information sharing. (3) If the conditions for information sharing can be achieved, the supplier prefers to set the wholesale price later. Otherwise, the supplier sets the wholesale price before inducing the online platform to share information.

The utility of artificial intelligence platforms for patient-generated questions in Mohs micrographic surgery: amulti-national, blinded expert panel evaluation.

Artificial intelligence (AI) and large language models (LLMs) transform how patients inform themselves. LLMs offer potential as educational tools, but their quality depends upon the information generated. Current literature examining AI as an informational tool in dermatology has been limited in evaluating AI's multifaceted roles and diversity of opinions. Here, we evaluate LLMs as a patient-educational tool for Mohs micrographic surgery (MMS) in and out of the clinic utilizing an international expert panel. The most common patient MMS questions were extracted from Google and transposed into two LLMs and Google's search engine. 15 MMS surgeons evaluated the generated responses, examining their appropriateness as a patient-facing informational platform, sufficiency of response in a clinical environment, and accuracy of content generated. Validated scales were employed to assess the comprehensibility of each response. The majority of reviewers deemed all LLM responses appropriate. 75% of responses were rated as mostly accurate or higher. ChatGPT had the highest mean accuracy. The majority of the panel deemed 33% of responses sufficient for clinical practice. The mean comprehensibility scores for all platforms indicated a required 10th-grade reading level. LLM-generated responses were rated as appropriate patient informational sources and mostly accurate in their content. However, these platforms may not provide sufficient information to function in a clinical environment, and complex comprehensibility may represent a barrier to utilization. As the popularity of these platforms increases, it is important for dermatologists to be aware of these limitations.

(Invited) Designer 2D Materials and Machine-Learning Assisted Characterization

2D materials offer enormous opportunities to build designer structures with widely tunable properties. The precise atomic engineering and quick characterization approach are critical to advance the application of designer 2D materials. This talk will introduce new optical features of designer 2D materials [1-4] with a focus on atomic substitution in monolayer WS2 [1]. The engineering of 2D materials presents unique opportunities for optoelectronic device and quantum information platform. When designing optoelectronic devices of 2D materials, spectroscopic permittivity of 2D material is a key parameter. While ellipsometry has been used to measure permittivity, it requires simple device structure, non-trivial parameter fitting, and special setup. This talk will also present a new machine-learning assisted approach to measure permittivity of 2D materials embedded in complex device structures without model fitting, which can facilitate a quick, accurate, and in-situ characterization of 2D and other thin film materials [5].