Information Exchange Research Articles

Narcissism and Problematic Social Media Use: A Moderated Mediation Analysis of Fear of Missing out and Trait Mindfulness in Youth

Social media use has increased worldwide, facilitating social relationships as well as the widespread exchange of information, images, and ideas. However, some individuals may develop a compulsive and unregulated engagement with social media platforms, known as problematic social media use (PSMU), which can result in adverse consequences for personal, social, and professional functioning. This scenario leads to considering which factors are implicated in PSMU and how they can affect the disposition toward PSMU. The present study aimed to explore the mediating role of fear of missing out (FoMO) in the association between both grandiose and vulnerable facets of narcissism and PSMU while also investigating the moderating effect of trait mindfulness. The research was conducted with 208 youth participants from 19 to 28 years old through an online cross-sectional design. Participants completed the Narcissistic Personality Inventory-13, the Hypersensitive Narcissism Scale, the Fear of Missing Out Scale, the Cognitive and Affective Mindfulness Scale-Revised, the Bergen Social Media Addiction Scale, and a short socio-demographic questionnaire. Results revealed that FoMO mediated the association between both facets of narcissism and PSMU, while trait mindfulness moderated the interplay between FoMO and PSMU, dampening the effect of FoMO. These findings provide theoretical insights into the main mechanisms underlying PSMU as well as promising practical implications for the development of mindfulness-based interventions aimed at mitigating PSMU. Limitations and future research directions are also discussed.

Health Care Worker Usage of Large-Scale Health Information Exchanges in Japan: User-Level Audit Log Analysis Study.

Over 200 health information exchanges (HIEs) are currently operational in Japan. The most common feature of HIEs is remote on-demand viewing or searching of aggregated patient health data from multiple institutions. However, the usage of this feature by individual users and institutions remains unknown. This study aims to understand usage of the on-demand patient data viewing feature of large-scale HIEs by individual health care workers and institutions in Japan. We conducted audit log analyses of large-scale HIEs. The research subjects were HIEs connected to over 100 institutions and with over 10,000 patients. Each health care worker's profile and audit log data for HIEs were collected. We conducted four types of analyses on the extracted audit log. First, we calculated the ratio of the number of days of active HIE use for each hospital-affiliated doctor account. Second, we calculated cumulative monthly usage days of HIEs by each institution in financial year (FY) 2021/22. Third, we calculated each facility type's monthly active institution ratio in FY2021/22. Fourth, we compared the monthly active institution ratio by medical institution for each HIE and the proportion of cumulative usage days by user type for each HIE. We identified 24 HIEs as candidates for data collection and we analyzed data from 7 HIEs. Among hospital doctors, 93.5% (7326/7833) had never used HIEs during the available period in FY2021/22, while 19 doctors used them at least 30% of days. The median (IQR) monthly active institution ratios were 0.482 (0.470-0.487) for hospitals, 0.243 (0.230-0.247) for medical clinics, and 0.030 (0.024-0.048) for dental clinics. In 51.9% (1781/3434) of hospitals, the cumulative monthly usage days of HIEs was 0, while in 26.8% (921/3434) of hospitals, it was between 1 and 10, and in 3% (103/3434) of hospitals, it was 100 or more. The median (IQR) monthly active institution ratio in medical institutions was 0.511 (0.487-0.529) for the most used HIE and 0.109 (0.0927-0.117) for the least used. The proportion of cumulative usage days of HIE by user type was complex for each HIE, and no consistent trends could be discerned. In the large-scale HIEs surveyed in this study, the overall usage of the on-demand patient data viewing feature was low, consistent with past official reports. User-level analyses of audit logs revealed large disparities in the number of days of HIE use among health care workers and institutions. There were also large disparities in HIE use by facility type or HIE; the percentage of cumulative HIE usage days by user type also differed by HIE. This study indicates the need for further research into why there are large disparities in demand for HIEs in Japan as well as the need to design comprehensive audit logs that can be matched with other official datasets.

Web-Based Implementation of Information Visualization of Megalithic Cultural Heritage

Objective: The purpose of this study is to assess the outcomes of developing a megalithic culture web application in Negeri Sembilan, Malaysia, as an information visualization platform for digital heritage documentation of megalithic culture. The application's reliability is evaluated by a pilot study, with an emphasis on the elements of efficiency, ease of learning, ease of use, and user satisfaction. Method: Pilot testing in this study uses a questionnaire-based approach to collect information involving 33 respondents from around the Malay Nature and Civilization Library, Universiti Kebangsaan Malaysia (UKM). The collected data was analyzed with the Statistical Package for the Social Sciences (SPSS) software version 28. Results and Discussion: The study's findings indicate that the produced web application has excellent and effective values with a high level of consistency. This means that it can be used as a digital documentation medium to show the community what cultural heritage survives in this state today in order to preserve it. It is hoped that the web application produced will assist in transmitting and sharing knowledge on megalithic culture in Negeri Sembilan to the general public, as part of efforts to dignify cultural heritage remains. Research Implications: This study adds to the creation of digital documents based on web applications that can be simply and rapidly accessed by all levels of global society. The consequences of these research findings can serve as the foundation for formulating policies to preserve the value of megalithic cultural remnants, promote archeotourism development activities, and assist local community development and economic empowerment. Originality/Value: This work presents original discoveries on information exploration and mapping existing megalithic sites to a digital platform in an effort to improve information exchange and digital preservation, which are currently below optimal levels. This study also adds to the growth of literature by focusing on one research information source connected to megalithic culture in Negeri Sembilan rather than searching for information through multiple spread information sources. Furthermore, this endeavor represents an innovation in information sharing through the use of GIS technology, which will undoubtedly ensure that records for megalithic site discovery are always kept and accessible to future users and scholars. Through the notion of digital preservation of cultural heritage, this is one endeavor to elevate the remnants of the megalithic cultural heritage as one of the unique heritages not only in Malaysia but also worldwide.

Automatic Exchange of Financial Information from the Perspective of Tax Fairness and Transparency

<p>Tax fairness and transparency concepts have gained increasing prominence in the global tax and financial regulatory landscape in recent years. Automatic Exchange of Financial Information (AEOI) has proven to be an effective tool for implementing these principles. This executive summary briefly overviews the key role AEOI plays in promoting tax fairness and transparency. It explores the mechanisms and framework behind AEOI and highlights its impact on curbing tax evasion and improving the fair sharing of the tax burden between individuals and businesses. Additionally, this summary highlights the implications of AEOI for financial institutions, governments, and taxpayers, and highlights the challenges and benefits associated with its implementation. By considering AEOI from multiple perspectives, this summary aims to contribute to the ongoing international tax discussion and facilitate further research on the multiple dimensions of tax fairness and transparency in the global financial ecosystem.<em></em></p>

Preface: 3rd International Conference on Architecture, Geotechnical Engineering and Construction Technology (AGECT 2024)

The 2024 3rd International Conference on Architecture, Geotechnical Engineering and Construction Technology (AGECT 2024) was held in Barcelona, Spain from August 10-11, 2024. The conference brings together innovative scholars and industry experts in the fields of architecture design, urban planning, building materials, structural engineering, civil engineering, geotechnical engineering, and construction technology into a common forum. The main objective of AGECT 2024 was to promote research and development activities. Another goal is to promote the exchange of scientific information between researchers, engineers, PHDs, students, and practitioners working in the conference and workshop. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 8-15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches. We would like to acknowledge all of those who supported AGECT 2024. The help and contribution of each individual and institution was instrumental in the success of the conference. In particular, we would like to thank the organizing committee for its valuable inputs in shaping the conference program and reviewing the submitted papers. We are sure that the proceedings will serve as an important research source of references and knowledge, which will lead to not only scientific and engineering findings but also new products and technologies. With best regards, Conference Organizing Chair Barcelona, Spain

Crossfeat: a transformer-based cross-feature learning model for predicting drug side effect frequency.

Safe drug treatment requires an understanding of the potential side effects. Identifying the frequency of drug side effects can reduce the risks associated with drug use. However, existing computational methods for predicting drug side effect frequencies heavily depend on known drug side effect frequency information. Consequently, these methods face challenges when predicting the side effect frequencies of new drugs. Although a few methods can predict the side effect frequencies of new drugs, they exhibit unreliable performance owing to the exclusion of drug-side effect relationships. This study proposed CrossFeat, a model based on convolutional neural network-transformer architecture with cross-feature learning that can predict the occurrence and frequency of drug side effects for new drugs, even in the absence of information regarding drug-side effect relationships. CrossFeat facilitates the concurrent learning of drugs and side effect information within its transformer architecture. This simultaneous exchange of information enables drugs to learn about their associated side effects, while side effects concurrently acquire information about the respective drugs. Such bidirectional learning allows for the comprehensive integration of drug and side effect knowledge. Our five-fold cross-validation experiments demonstrated that CrossFeat outperforms existing studies in predicting side effect frequencies for new drugs without prior knowledge. Our model offers a promising approach for predicting the drug side effect frequencies, particularly for new drugs where prior information is limited. CrossFeat's superior performance in cross-validation experiments, along with evidence from case studies and ablation experiments, highlights its effectiveness.

Notice the comment? Chinese government responsiveness to public participation in the policymaking process

AbstractWe investigate government responsiveness in the notice and comment process, a prominent instrument of consultative authoritarianism through which policy is made in contemporary China. We conduct an extensive data collection effort, assembling draft policies, public comments, and government responses for more than one thousand instances of notice and comment policymaking over a 17‐year period. Our statistical analysis demonstrates both the promise and limitations of consultative authoritarianism in the context of the notice and comment process. Government responsiveness in salient policy areas and to lengthy and critical comments demonstrates that public scrutiny matters to policymakers. These patterns are consistent with the notion that autocrats seek to remain in power not only through repression but also by bolstering exchanges of information between state and society. Central government ministries, however, are relatively unresponsive, indicating that significant aspects of policymaking are not characterized by robust attention to public sentiment and information.

Clinicians' use of Health Information Exchange technologies for medication reconciliation in the U.S. Department of Veterans Affairs: a qualitative analysis.

Medication reconciliation is essential for optimizing medication use. In part to promote effective medication reconciliation, the Department of Veterans Affairs (VA) invested substantial resources in health information exchange (HIE) technologies. The objectives of this qualitative study were to characterize VA clinicians' use of HIE tools for medication reconciliation in their clinical practice and to identify facilitators and barriers. We recruited inpatient and outpatient prescribers (physicians, nurse practitioners, physician assistants) and pharmacists at four geographically distinct VA medical centers for observations and interviews. Participants were observed as they interacted with HIE or medication reconciliation tools during routine work. Participants were interviewed about clinical decision-making pertaining to medication reconciliation and use of HIE tools, and about barriers and facilitators to use of the tools. Qualitative data were analyzed via inductive and deductive approaches using a priori codes. A total of 63 clinicians participated. Over half (58%) were female, and the mean duration of VA clinical experience was 7 (range 0-32) years. Underlying motivators for clinicians seeking data external to their VA medical center were having new patients, current patients receiving care from an external institution, and clinicians' concerns about possible medication discrepancies among institutions. Facilitators for using HIE software were clinicians' familiarity with the HIE software, clinicians' belief that medication information would be available within HIE, and their confidence in the ability to find HIE medication-related data of interest quickly. Six overarching barriers to HIE software use for medication coordination included visual clutter and information overload within the HIE display; challenges with HIE interface navigation; lack of integration between HIE and other electronic health record interfaces, necessitating multiple logins and application switching; concerns with the dependability of HIE medication information; unfamiliarity with HIE tools; and a lack of HIE data from non-VA facilities. This study is believed to be the first to qualitatively characterize clinicians' HIE use with respect to medication reconciliation. Results inform recommendations to optimize HIE use for medication management activities. We expect that healthcare organizations and software vendors will be able to apply the findings to develop more effective and usable HIE information displays.

Enabling a Learning Public Health System: Enhanced Surveillance of HIV and Other Sexually Transmitted Infections.

Sexually transmitted infections (STIs) continue to pose a substantial public health challenge in the United States (US). Surveillance, a cornerstone of disease control and prevention, can be strengthened to promote more timely, efficient, and equitable practices by incorporating health information exchange (HIE) and other large-scale health data sources into reporting. New York City patient-level electronic health record data between January 1, 2018 and June 30, 2023 were obtained from Healthix, the largest US public HIE. Healthix data were linked to neighborhood-level information from the American Community Survey. In this cross-sectional study, we compared patients who received a test or tested positive for chlamydia, gonorrhea, and/or HIV with patients who were untested or tested negative, respectively, using generalized estimating equations with logit function and robust standard errors. Among 1,519,121 tests performed for chlamydia, 1,574,772 for gonorrhea, and 1,200,560 for HIV, 2%, 0.6% and 0.3% were positive for chlamydia, gonorrhea, and HIV, respectively. Chlamydia and gonorrhea co-occurred in 1,854 cases (7% of chlamydia and 21% of gonorrhea total cases). Testing behavior was often incongruent with geographic and sociodemographic patterns of positive cases. For example, people living in areas with the highest levels of poverty were less likely to test for gonorrhea but almost twice as likely to test positive compared to those in low poverty areas. Regional HIE enabled review of testing and cases using granular and complementary data not typically available given existing reporting practices. Enhanced surveillance spotlights potential incongruencies between testing patterns and STI risk in certain populations, signaling potential under- and over-testing. These and future insights derived from HIE data may be used to continuously inform public health practice and drive further improvements in provision and evaluation of services and programs.

Block Medcare: Advancing Healthcare Through Blockchain Integration

In an era driven by information exchange, transparency and security hold crucial importance, particularly within the healthcare industry, where data integrity and confidentiality are paramount. This paper investigates the integration of blockchain technology in healthcare, focusing on its potential to revolutionize Electronic Health Records (EHR) management and data sharing. By leveraging Ethereum-based blockchain implementations and smart contracts, we propose a novel system that empowers patients to securely store and manage their medical data. Our research addresses critical challenges in implementing blockchain in healthcare, including scalability, user privacy, and regulatory compliance. We propose a solution that combines digital signatures, Role-Based Access Control, and a multi-layered architecture to enhance security and ensure controlled access. The system's key functions, including user registration, data append, and data retrieval, are facilitated through smart contracts, providing a secure and efficient mechanism for managing health information. To validate our approach, we developed a decentralized application (dApp) that demonstrates the practical implementation of our blockchain-based healthcare solution. The dApp incorporates user-friendly interfaces for patients, doctors, and administrators, showcasing the system's potential to streamline healthcare processes while maintaining data security and integrity. Additionally, we conducted a survey to gain insights into the perceived benefits and challenges of blockchain adoption in healthcare. The results indicate strong interest among healthcare professionals and IT experts, while also highlighting concerns about integration costs and technological complexity. Our findings underscore the transformative potential of blockchain technology in healthcare, pointing towards a new era of patient-centric and secure healthcare services. By addressing current limitations and exploring future enhancements, such as integration with IoT devices and AI-driven analytics, this research contributes to the ongoing evolution of secure, efficient, and interoperable healthcare systems.

Linking the ECRIN Metadata Repository with the BBMRI-ERIC Directory to connect clinical studies with related biobanks and collections.

There is much value to be gained by linking clinical studies and (biosample-) collections that have been generated in the context of a clinical study. However, the linking problem is hard because usually no direct references between a clinical study and an associated collection are available. The BBMRI-ERIC Directory and the ECRIN Metadata Repository (MDR), already include much of the information required to link clinical studies and related sample collections. In this study, we present the work performed to find and implement those links across existing corresponding records in the two systems. The linking process between MDR studies and related collections in the BBMRI-ERIC Directory started with exploring linkage in both directions - searching the BBMRI-ERIC Directory for candidate hits to try to link with MDR records, and searching the ECRIN MDR for candidate hits to try to link with Directory collections. Thereafter, a systematic search through the BBMRI-ERIC Directory was performed. The investigation of linkages in both directions resulted in a limited but promising number of linkages. The results of the systematic search of the Directory identified linkage of 202 studies, spanning 284 collections. The analysis with existing data sources indicated that links between the BBMRI-ERIC and ECRIN collections exist, but also that they would be difficult to continuously identify and maintain without a great deal of manual work which neither organisation could support. The question arises whether, in the future, systems could be put into place to make the exchange of information and the linkage of identifiers almost automatic.

Matching radar signals and fingerprints with MPC

Vessels can be recognised by their navigation radar due to the characteristics of the emitted radar signal. This is particularly useful if one wants to build situational awareness without revealing one's own presence. Most countries maintain databases of radar fingerprints but will not readily share these due to national security regulations. Sharing of such information will generally require some form of information exchange agreement. However, all parties in a coalition benefit from correct identification. We use secure multiparty computation to match a radar signal measurement against secret databases and output plausible matches with their likelihoods. We also provide a demonstrator using MP-SPDZ.

Financing diversified water strategies for megacities: the case of Mexico City and rainwater harvesting

Abstract Megacities are increasingly confronted with water supply challenges, requiring innovative and diversified management strategies to ensure sustainability. This study examines Mexico City’s Cosecha de Lluvia program, a government initiative promoting residential rainwater harvesting (RWH). This case study offers valuable lessons for other megacities facing similar water security issues. The study particularly explores result-based financing (RBF) as a promising strategy to strengthen Mexico City’s RWH sector. Despite its potential, research on RBF for water supply diversification remains limited, especially from the perspective of practitioners. To address this gap, the study employs a systems thinking approach supported by qualitative methods, including a literature review and interviews. Thematic networks analysis revealed that RBF could enhance Cosecha de Lluvia by improving monitoring and results measurement, facilitating information exchange, and increasing transparency—key factors for successful water supply diversification. While these identified benefits do not address all of Cosecha de Lluvia’s challenges and RBF could have implementation challenges, there is a clear opportunity for this financial mechanism to enhance programs like the one studied and have a positive impact on several of its elements. As part of the RBF suitability assessment, three different funding sources were evaluated—public, private, and philanthropic—to determine their effectiveness in overcoming Cosecha de Lluvia’s challenges. The findings suggest that no single source of finance markedly influences the program’s effectiveness alone. Instead, a blended financing approach that integrates all three sources is recommended as a strategy to explore further for implementing RBF in water supply diversification efforts. Overall, the study highlights the necessity of diversifying water supply to build climate resilience in megacities. While programs like Cosecha de Lluvia are crucial, significant room for improvement exists. RBF offers a promising mechanism to enhance such initiatives, and its potential merits further exploration.

Experiences and Perceptions of Medication Management Communication During Transitions of Care for Residents in Aged Care Homes and Their Caregivers: A Qualitative Meta-Synthesis.

To explore the experiences and perceptions of communication about managing medication across transitions of care for residents living in aged care homes and their family caregivers. Effective medication communication across transitions of care involves exchanging information, resident, and family caregiver's participation in decision-making, and shared responsibility. A qualitative meta-synthesis. This review was conducted in accordance with the PRISMA 2020 guidelines and the accompanying 27-item checklist. A systematic search of seven electronic databases (Embase, PsycINFO, Medline Ovid, Scopus, CINAHL, EmCare and Web of Science) was performed from inception to December 2023. Studies eligible for inclusion in this review were required to be published in peer-reviewed English journals and focus on medication communication among healthcare providers, residents and family caregivers during transitions of care for aged care residents. The JBI Critical Appraisal Checklist for Qualitative Research was employed for the critical appraisal of the studies, and the COREQ checklist was used to evaluate their quality. Of the 2610 studies identified, 12 met the inclusion criteria. No study was excluded based on quality. Two main themes were generated: (1) Medication information exchange involving residents and families, and (2) resident and family factors influencing medication communication engagement. The findings revealed a lack of supportive structure for effective communication and collaboration among residents, family caregivers and healthcare providers during transitions of care, marked by one-way interactions and limited evidence of shared decision-making or family caregiver engagement in medication management communication, despite varying individual needs and preferences. Communication about medication management during transitions of care focused on sharing details rather than active engagement. Residents and their family caregivers have individual needs and perspectives regarding communication about medication management, which are not well addressed by healthcare providers during transitions of care. Healthcare providers' communication remains limited, and family caregivers are underutilised.

When two chains meet: Optimizing the design of blockchain-enabled supply chain networks

Applications of the blockchain technology are rapidly emerging across sectors. By redefining information flow, blockchain technology promises to instill trust among supply chain members, improve transaction efficiency, thus reshaping the structure and configuration of supply chains. The practical exploratory use of blockchain has shown immense potential in supply chain management. In order to explore the new changes brought by blockchain technology to supply chain network design issues, this study focuses on the supply chain network design problem in the context of blockchain technology. Specifically, we consider a supply chain network comprised of a number of distribution centers (DCs) and retailers. The operation of this physical network is supported by blockchain-based information infrastructure. As the interrelated relationship between these two networks, it is necessary to optimize them simultaneously to improve the profitability and information exchange level. We propose an objective function based on previous studies to maximize the profits of the entire supply chain network, with decision variables including DC locations, retailer assignment, inventory replenishment policy, and blockchain adoption level. At the same time, to characterize the interrelation between the two networks, the demand and certain cost parameters of the model become endogenous depending on the blockchain adoption level, which significantly increases the complexity of the solution algorithm. We reformulate the model and use the polymatroid cutting plane approach to address this issue. We conducted calculations and numerical analysis. The computational results show that the proposed method can solve practically sized problems, and integrating blockchain design reduces the system-wide cost. We discuss managerial insights based on a range of numerical studies and solve a case study using publicly available instance data.

The Role of the Digital Library in the Development and Encouragement of Scientific Research During the Corona Pandemic

The study aimed to shed light on the impact of using the digital library in encouraging and developing scientific research from the point of view of graduate students at the College of Business at King Khalid University during the COVID-19 crisis. The descriptive analytical approach was used to achieve the objectives of the study. A questionnaire was used to collect data and information, and the SPSS program was used to analyze the data. The study reached several results, including the fact that the digital library helps detect plagiarism, forgery, copying, and imitation in scientific and technological research and facilitates communication between academic researchers from faculty members and students by logging in. The digital library and the exchange of ideas and information contribute to the development of scientific research. Graduate students use the resources in the digital library to efficiently complete their assignments and scientific research. The use of the digital library contributed to saving time and effort for graduate students. It was recommended that the culture of digital awareness be spread by preparing workshops for graduate students to introduce them to digital libraries and teach them how to use and activate them in the service of scientific research.

Strengthening Business Collaborations in the Sidoarjo District MSME Community

Background: Effective communication is vital for group dynamics within communities, particularly in business networks. Specific Background: This study focuses on the communication practices of the Micro, Small, and Medium Enterprises (MSMEs) community. Knowledge Gap: While prior research exists, the dynamics of information sharing in such informal settings have not been thoroughly examined. Aims: The research aimed to analyze communication dynamics within an MSME community and identify factors affecting interaction. Results: Findings indicate that informal interactions strengthen relationships and enhance partnership potential, yet information sharing remains limited, with only a few members actively disseminating business-related news. Novelty: This study emphasizes the significance of informal communication in building relationships while highlighting the need for improved information dissemination. Implications: Recommendations include fostering a more flexible communication environment to enhance collaboration and information exchange within MSME communities. Highlights : Informal Interactions: Foster strong relationships among community members. Limited Information Sharing: Only a few members actively disseminate relevant business news. Need for Flexibility: A more inclusive communication environment is essential for collaboration. Keywords: communication, MSMEs, information sharing, community dynamics, partnerships

Competition policy and agent discretion: transatlantic regulatory cooperation in the digital economy

ABSTRACT Despite a framework of bilateral agreements governing cooperation in competition policy since 1991, the European Union (EU) and United States of America (US) established a new Joint Technology Competition Policy Dialogue in 2021, which was different from previous cooperation and separate from the transatlantic Trade and Technology Council. Drawing from the principal-agent literature, this article argues that the choice to establish the new Joint Dialogue can be understood as an exercise of discretionary authority by agents in different jurisdictions with similar preferences who responded similarly to the common external factor of digitalisation. Facing new and shared challenges arising from the digital economy, the EU and US competition authorities undertook a new effort at cooperation – the Joint Dialogue – through which regulatory agents at various levels can interact, exchange information and improve enforcement in a rapidly changing business environment.

DM-HAP: Diffusion model for accurate hand pose prediction

Forecasting hand poses is a challenging task due to inherent uncertainties, occlusions, and inaccuracies in 3D pose estimation. Diffusion models provide a promising direction for predicting precise 3D hand poses under noisy conditions. In this work, we introduce Dual-diffusion, an innovative framework for the precise prediction of future hand poses. Our approach leverages the strengths of diffusion models by framing hand pose forecasting as a reverse diffusion process, effectively addressing the complexities of noisy hand joint movements and their subtleties. To enhance the learning of hand pose representations, we propose a unique neural architecture that simultaneously captures both local and global features. This is achieved through the deployment of Global and Local Diffusion (GLD) blocks within our network, which facilitate the exchange of information between local and global features. This diffusion-based interaction enables the integration of global hand actions and local finger actions, leading to a more powerful representation learning approach. We evaluate the effectiveness of our Dual-diffusion method on three public 3D hand pose estimation datasets (MSRA, F-PHAB, and BigHand2.2M), and our approach outperforms previous methods.

Research on Marketing Strategy based on Social Media Big Data

With the rapid advancement of internet technologies, social media platforms have emerged as pivotal channels for information exchange and dissemination. The vast amounts of user-generated data provide businesses with unprecedented insights. The analysis of big data from social media allows for more precise and effective marketing strategies. This paper aims to explore the characteristics of big data from social media and analyze its applications in marketing strategies. By delving into data types, volumes, structures, and user behavior, it reveals the main challenges businesses face in big data applications and proposes corresponding solutions. Precision marketing, brand management, market trend forecasting, and crisis management are significant areas of application for big data in marketing. This paper, through a detailed examination of these strategies, highlights the potential and challenges of big data in contemporary marketing. Ultimately, it seeks to offer theoretical support and practical guidance for businesses on how to develop and implement effective marketing strategies in a big data-driven market environment.