Third-party Information Research Articles

Delirium in Neurocritical Care: Uncovering Undisclosed Psychotropic Substance and Medication Use and Stress Exposure by Hair Analysis.

In intensive care, delirium is frequent, prolongs the stay, increases health care costs, and worsens patient outcome. Several substances and medications as well as stress can impact the risk of delirium; however, assessment of previous exposure to psychotropic agents and stress by self-reports or third-party information is not always reliable. Hair analysis can be used to objectively assess medication and substance use (including chronic alcohol consumption), and allows for the determination of stress-related long-term changes in steroid hormones and endocannabinoids. Consecutive adult patients with acute brain injury admitted to the neurocritical care unit were included. Delirium was diagnosed using the Confusion Assessment Method for the Intensive Care Unit. Liquid chromatography coupled with tandem mass spectrometry was used to investigate psychoactive substances and medications, ethyl glucuronide, steroid hormones, and endocannabinoids in hair samples. Univariable and multivariable analyses were used to reveal any associations with the occurrence of delirium. Of 50 consecutive patients, 21 (42%) were diagnosed with delirium. Detection of antipsychotics or antidepressants in hair was more frequent in patients with delirium (antidepressants: 43% vs. 14%, p = 0.040; antipsychotics: 29% vs. 0%, p = 0.021). These patients also displayed higher ethyl glucuronide levels (p = 0.049). Anandamide (AEA) concentrations were higher in patients with delirium (p = 0.005), whereas oleoylethanolamide (p = 0.045) and palmitoylethanolamide (PEA) (p = 0.017) concentrations were lower in patients with delirium. Backward stepwise logistic regression analysis revealed antidepressants and AEA/PEA to be independent relevant predictors of delirium. Hair analysis provides crucial and otherwise unattainable information regarding chronic stress and the use of psychotropic substances and medications. Undisclosed antidepressant/antipsychotic use or intense chronic alcohol consumption is susceptible to treatment (continuation of medication or provision of low-dose benzodiazepines in case of alcohol). Chronic stress can be evaluated using stress markers and endocannabinoids in hair, potentially allowing for personalized delirium risk stratification and preventive measures.

Distributed Data Analysis in Cloud Services for Insurance Companies

This article embarks on an insightful journey through the realm of advanced data analysis techniques which can be used in the insurance area, with a keen focus on the applications and capabilities of Graph Neural Networks (GNN) in the following sector. The article is structured into several chapters, which include the overview of existing and commonly used approaches of the data representation, the possible ways of data analysis of the data in such a representation, deep dive into the concept of GNN for the graph data analysis and the applicability of each approach in the insurance industry. The initial chapter introduces the two main concepts of the data representation, which are the commonly used relational database and the more modern approach of dimensional data design. Then the focus is moved to the graph data representation, which also can be used for data analysis in the cloud environment. To achieve the best applicability in the insurance industry, particularly in underwriting and claims management, the article analyzes the advantages of each approach to the data representation as well as its drawbacks. To conclude the chapter, the comparison table of the three approaches is presented. Based on the comparison table, the decision to use the graph representation is made as it enables the industry to unravel complex relationships and dependencies amid various data points—such as policyholder history, incident particulars, and third-party information—resulting in more accurate risk assessments and efficient claim resolutions. Then the article presents the concept of Graph Neural Networks, a rather new concept which can be used to analyze the data, represented in a graph form using machine learning algorithms. The potential of using this approach for the data analysis in the insurance area and some possible use cases are described. The advantages of using this approach include ability to effectively capture and leverage the complex relationships inherent in graph- structured data and a powerful framework for analyzing and processing graph-structured data. However, the potential drawbacks of the approach such as complexity to design and difficulties in scaling are also considered. Further along, the article probes the strategic integration of Graph Neural Networks with real-time and dynamic data environments, examining their adaptability to evolving network patterns and temporal dependencies. We discuss how this adaptability is paramount in contexts like real-time decision-making and predictive analysis, which are crucial for staying agile in a rapidly changing market landscape. Then the exact use cases of the GNN applicability in the insurance area are provided, including the claim assignment and underwriting process are described in detail. Furthermore, the simplified mathematical formulation of the underwriting process is provided, which elaborates the role GNNs play in propelling actuarial science with their capability to incorporate node attributes, edge information, and graph structure into a composite risk assessment algorithm. The article concludes by describing that with the new technologies, the graph representation may become the new standard for the data analysis in the cloud environment, especially for the insurance area, stressing the pivotal role of GNNs in navigating the complexities of interconnected, dynamic data and advocating for their continued research and development to unlock even greater potentials across various sectors.

Pain Prevalence and Pain Management in Nursing Home Residents With Cognitive Impairment. Results From Five Multicenter Cross-Sectional Surveys in Germany Between 2014 and 2018

BackgroundPain management depends on continuous pain assessment and a pain concept. In particular, pain assessment and treatment are major challenges for nursing home residents (NHR) with cognitive impairment (CI). Many caregivers often lack the knowledge to recognize and appropriately treat pain in this vulnerable group. Little is known about the proportion of NHR who are fundamentally dependent on external assessment for pain due to CI. ObjectiveThe aim of the study was to determine pain prevalence and management among NHR with and without CI. A second objective was to determine the proportion of NHR who are dependent on external assessment for pain. MethodsInformation on pain was collected from 3,437 NHR in multicenter cross-sectional surveys in 51 German nursing homes between 2014 and 2018. The presence of current pain in one-to-one interviews was determined as well as dependencies on third-party information, number of daily pain recordings, and administration of medication for pain. The analysis included a contingency table and log regression analyses. ResultsPain prevalence was 24.9% among NHR with severe CI and 40.4% among NHR without CI. Overall, 19.8% of all NHRs relied on a third-party assessment of pain. Significantly, NHR with severe CI were less likely to be classified as having pain (OR 0.51), to be assessed for pain several times a day (OR 0.53) or to receive pain medication (OR 0.55) compared with NHR without CI. No influence on pain management was shown for the type of pain assessment. ConclusionsThe study provides evidence of significant deficits in pain management among NHR with moderate and severe CI in nursing homes in Germany. NHR with moderate and severe CI are significantly less likely to be observed for pain or classified as pain sufferers and receive significantly less pain medication than NHR without CI. Intensive training of staff on pain management of NHR with severe CI is recommended.

Trade-in strategies in closed-loop supply chain when considering manufacturer entrustment behavior and wholesale price contract

Many enterprises are implementing trade-in programs through multiple methods, but some lack experience or insufficient conditions to carry out the trade-in program. The previous literature did not consider the impacts of the manufacturer authorizing the third-party information platform (3IP) to implement the trade-in strategy for each member of the closed-loop supply chain. To address this gap, we established three models based on consumer choice behavior: (1) the benchmark model without trade-in strategy; (2) the trade-in model with manufacturer entrustment behavior; (3) the extension model with wholesale price contract. We obtained and compared the equilibrium solutions of the three models. Our results indicate that, compared to the case where there is no entrustment, the manufacturer’s profit is higher if they entrust the 3IP to implement the trade-in program under certain conditions (which is related to the proportion of primary and replacement consumers in the market). Under reasonable circumstances, we find that introducing a wholesale price contract can benefit the manufacturer and increase the profit of the 3IP, stimulate the 3IP to carry out trade-in better, and achieve a win-win situation. Some numerical examples are provided to explain these findings further.

Investigating the use of machine learning algorithms to support risk-based animal welfare inspections of cattle and pig farms.

In livestock production, animal-related data are often registered in specialised databases and are usually not interconnected, except for a common identifier. Analysis of combined datasets and the possible inclusion of third-party information can provide a more complete picture or reveal complex relationships. The aim of this study was to develop a risk index to predict farms with an increased likelihood for animal welfare violations, defined as non-compliance during on-farm welfare inspections. A data-driven approach was chosen for this purpose, focusing on the combination of existing Swiss government databases and registers. Individual animal-level data were aggregated at the herd level. Since data collection and availability were best for cattle and pigs, the focus was on these two livestock species. We present machine learning models that can be used as a tool to plan and optimise risk-based on-farm welfare inspections by proposing a consolidated list of priority holdings to be visited. The results of previous on-farm welfare inspections were used to calibrate a binary welfare index, which is the prediction goal. The risk index is based on proxy information, such as the participation in animal welfare programmes with structured housing and outdoor access, herd type and size, or animal movement data. Since transparency of the model is critical both for public acceptance of such a data-driven index and farm control planning, the Random Forest model, for which the decision process can be illustrated, was investigated in depth. Using historical inspection data with an overall low prevalence of violations of approximately 4% for both species, the developed index was able to predict violations with a sensitivity of 81.2 and 79.5% for cattle and pig farms, respectively. The study has shown that combining multiple and heterogeneous data sources improves the quality of the models. Furthermore, privacy-preserving methods are applied to a research environment to explore the available data before restricting the feature space to the most relevant. This study demonstrates that data-driven monitoring of livestock populations is already possible with the existing datasets and the models developed can be a useful tool to plan and conduct risk-based animal welfare inspection.

Third-Party Information Security: Generic Qualitative Inquiry in Banking and Financial Services

Third-Party Information Security: Generic Qualitative Inquiry in Banking and Financial Services

Cultural influences on early trust development in virtual teams

PurposeTransference-based trust (TBT) via referral sources is a cognitive process where trust in third-party information about an individual transfers to trust in the individual. TBT via referral sources can have significant effects on early trust development in a virtual team (VT). This study aims to examine the potential influence of Hofstede’s (1980) cultural variables and two proposed combinations of these cultural variables on early trust development in VT, including the effects of referral source.Design/methodology/approachThis study adopted multigroup analysis partial least squares structural modeling to examine potential cultural differences in the responses of 357 university students from 51 different countries to understand early trust development in VT.FindingsTBT via referral sources as in interpersonal construct has a positive, direct impact on early trust development. TBT mediated the individual and organizational model constructs. There were significant differences in the high/low values of 3 of the 56 tested cultural dimensions.Research limitations/implicationsReaffirmed the validity of cognitive-based trust models in understanding early trust development in VTs TBT as an interpersonal construct and has a significant influence on early trust development in VTs. TBT via referral sources mediated the individual and organizational constructs of the model. There were significant differences in the high/low measures of three cultural dimensions (i.e. IV, M and the combination of IV-M-LT) in the relationship of early trusting beliefs to early trusting intensions.Practical implicationsTo positively influence interpersonal and organizational aspects of trust development, managers should ensure that the early phases of VTs, before actual implementation begins, are well organized. Managers could make VT members fully aware of how referral sources can influence early trust development. Managers could encourage individuals to have open access to relevant social media accounts for other VT members and encourage individuals to research referral sources on other VTs members. The implication for managers of culturally diverse VT is that the development of early trust is largely by individual choice, rather than differences in national culture.Social implicationsPeople need to maintain and actively manage their online presence, ensuring that online information about them is accurate and updated. Referral sources could help VT members learn about one another, which might in turn help foster early trust in their online teams.Originality/valueAlthough some studies have found significant cultural differences in early trust development, other studies, including a meta-analysis of 43 studies, found no significant cultural differences in early trust development. This study confirmed the results of the meta-analysis.

Collateral Consequences for Third-Party Interviewees in Forensic Contexts.

Collateral interviews can be an integral source of third-party information used in a range of forensic mental health assessments. Although family members and spouses often have the most knowledge about the evaluee, research suggests that they may also experience distress related to the legal proceedings. This article discusses the nature and purpose of collateral interviewing with close collateral contacts, comparing collateral interviews with direct interviews with evaluees. The secondary consequences of having a justice-involved family member are considered, including the possibility of vicarious trauma. Finally, the responsibilities of evaluators are considered, especially in the context of trauma-informed principles applied to collateral interviewing. Recommendations regarding consent, the use of empathy, and feedback to collateral are provided.

The Impact of Capital Structure, Firm Size, Growth, And Profitability on Firm Value

The study aims to be carried to ascertain the effect of capital structure, firm's size, growth, and profitability upon firm value. Previous research on corporate value produced inconsistent results, indicating that more research is required to assess firm worth. In the 2019-2021 period, Third-party information in the structure of annual reports on transportation sector firms collected from the IDX site is applied by researchers. Purposive sampling was utilized in this study. Data analysis approaches such as descriptive statistical analysis and multiple linear regression analysis were used in this study. First, descriptive statistics, classical hypothesis testing, multiple linear regression analysis, and hypothesis testing are accomplished. According to the results of this study, firm size and profitability have an impact on firm value, however capital structure and growth have no impact on firm value.

Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction.

Causality detection methods based on mutual cross mapping have been fruitfully developed and applied to data originating from nonlinear dynamical systems, where the causes and effects are non-separable. However, these pairwise methods still have shortcomings in discriminating typical network structures, including common drivers, indirect dependencies, and facing the curse of dimensionality, when they are stepping to causal network reconstruction. A few endeavors have been devoted to conquer these shortcomings. Here, we propose a novel method that could be regarded as one of these endeavors. Our method, named conditional cross-map-based technique, can eliminate third-party information and successfully detect direct dynamical causality, where the detection results can exactly be categorized into four standard normal forms by the designed criterion. To demonstrate the practical usefulness of our model-free, data-driven method, data generated from different representative models covering all kinds of network motifs and measured from real-world systems are investigated. Because correct identification of the direct causal links is essential to successful modeling, predicting, and controlling the underlying complex systems, our method does shed light on uncovering the inner working mechanisms of real-world systems only using the data experimentally obtained in a variety of disciplines.

Framing Sustainable Supply Chain Finance: how can supply chain sustainability practices and supply chain finance solutions be integrated?

Supply chain finance (SCF) can play a role in improving supply chain (SC) sustainability. That is why academics have started investigating the connection between SCF and sustainable SC management, and practitioners have begun developing new SCF solutions with a sustainable orientation. Although SCF solutions have been suggested as supporting tools for the diffusion of sustainability within SCs, academic contributions have only partially investigated sustainable SCF (SSCF). There is the need to understand in greater detail first, how different SC sustainability practices (e.g., supplier assessment, supplier development, incentives to suppliers, and third-party involvement) can be integrated into SCF solutions; second, how different brokerage roles can facilitate this integration to contribute to the successful implementation of an SSCF solution. This paper investigates those aspects through multiple international exploratory case studies. The results confirm that SCF solutions become sustainable by integrating different SC sustainability practices, either embedded in the SSCF solutions or reinforced by the implementation of the solutions. Moreover, involving new actors, including third-party information providers, NGOs, and certification bodies, who assume different brokerage roles, positively influences the development of SSCF solutions.

Tax enforcement activities: Evidence on the impact of a threat-of-audit letter

As part of their ordinary enforcement activities, tax authorities around the world use letters and other forms of personalised communications to elicit tax compliance at a low cost. The literature shows that the impact of a threat-of-audit letter (TAL) depends critically on the credibility of the letter which, in turn, depends on the information disclosed to the taxpayer. We study a TAL that is credible because it also uses third-party information to target a form of cost manipulation but, at the same time, incentivises alternative forms of cost manipulation by not targeting them. We find that the direct impact on the targeted cost manipulation is stronger than the strategic increase in other costs, and therefore the overall effect of the TAL on taxable income is positive. Our approach can be applied to any letter or enforcement action that reveals information to taxpayers and thus prompts their strategic responses. By observing the taxpayers’ responses along all relevant dimensions, the tax authority can evaluate the impact of the strategy and also obtain valuable information to target future enforcement activities.

Carer involvement in the assessment of personal recovery: A naturalistic study of assertive community treatment in Norway.

The user and carer movements have come a long way in becoming embedded in mainstream mental health services for individuals with serious mental illness. However, implementing recovery-oriented practice continues to be plagued by an individualistic clinical focus. The carers do not feel integrated despite policies and best intentions. The implementation of Assertive Community Treatment (ACT) provided an opportunity to involve the carers and compare their assessment of personal recovery with the users. The aims of this study were to examine (i) how family carers and users differed in their assessment of personal recovery, (ii) whether familial and personal relationships influenced how carers assess personal recovery of users, and (iii) if the experience of family carers with the ACT team was associated with personal recovery. The naturalistic, explorative study recruited 69 users and 36 family carers from 12 Norwegian ACT teams. The users and carers assessed the user's personal recovery. Family carers also reported their experience and satisfaction with the ACT teams. Analyses included independent and paired sample T-tests and correlation analysis. Family carers were significantly more conservative than the users' assessment of the intrapsychic and interpersonal subscales of personal recovery. The pattern held true whether the family carers were matched to the users or part of the total sample. Lastly, there was a significant negative correlation between the family carer's experience of cooperation with the ACT team and their assessment of the user's intrapersonal process of recovery. The results of our study were consistent with previous research on carer involvement in MHS. However, it is the first study that engaged carers and assessed personal recovery of the users of ACT services. Discrepancy between carers and users is the rule. Clinicians are encouraged to embrace the discrepancy and diversity carers bring and learn the methodology of multi-informant assessments. There also is a need to address, update, and integrate the personal, familial, and relational aspects of recovery. Modification of recovery measures such as QPR and their creative use with carers has the potential to generate valuable third-party information and to involve them meaningfully in mental health services.

공인회계사 독립성의 특수성과 공동주택에 대한 회계감사의 관계

The duties of a certified public accountant are divided into an accounting audit that provides information to unidentified third parties, and tax agency, accounting-related appraisal that has a linear structure between a mandator and a mandate. In particular, accounting auditing has the characteristics of a mixed contract centered on a mandate contract, but it is distinctive in that it has an obligation to provide information to a third party. The main conceptual elements of accounting audit are the preparation of financial statements and the existence of generally accepted accounting principles, the existence of an independent third-party certified public accountant, the existence of generally accepted audit standards and professional work performance accordingly, and the expression of opinions on information users. The most significant of these was independence. This is because, through independence, the certified public accountant obtains and retains a trust on objectivity and fairness of auditing not only in terms of mental independence but also in appearance.
 There are various systems that support the independence of accounting audits, including the general provisions of Article 15, Paragraph 1 of the Certified Public Accountant Act, the restriction of functions of Articles 21 and 33, the designation system of the External Audit Act, and the prohibition of preparing financial statements. Furthermore, the Code of Ethics for Certified Public Accountants also functions as a practical disciplinary code, and since it is influenced by International Ethics Standard Board for Accountants, the independence of CPA is becoming a global standard.
 We also reviewed the accounting audit of multi-family housing including apartment houses, which is a representative area of accounting audit other than external audit. Although the purpose of the accounting audit of apartment houses may be somewhat different from that of the company, the basic principle and essence of the audit is the same, and the independence of certified public accountants must be strictly maintained. In particular, it has something in common with Article 21 of the Certified Public Accountant Act in that the simultaneous performance of accounting audit and bookkeeping violates independence.
 The independence of a certified public accountant is a mark derived from accounting audit, which is the exclusive mission of a certified public accountant, and plays a role in enabling third-party information users to use correct information by enabling accounting audits to be performed in an objective and fair position. At the same time, it can be seen that disciplinary procedures and criminal punishment are premised in case of violation of the obligation to maintain independence. Therefore, the independence of certified public accountants, especially in accounting auditing, is a concept with unique characteristics that cannot be found in other field.

Law, Economics, and Privacy: Implications of Government Policies on Website and Third-Party Information Sharing

Widespread abuse of internet users' privacy online has prompted user advocacy groups to implore governments to intervene and protect consumer rights. To study such interventions' effects, we examine data-protection policies that policy makers and governments can enforce on websites, including consent-based user information sharing and subsidizing competing websites. Interestingly, we find that even though a consent-based policy may improve user surplus, it has the unintended consequence of increasing the number of third-parties and, thus, sharing of user information. We also determine that both consent-based and website subsidization policies may reduce competition by driving websites out of the market—to the detriment of user surplus and social welfare. Moreover, consent-based policies are not beneficial to websites, but are beneficial for third-parties. Policy makers should consider the different policy mechanisms at their disposal. Website subsidization is similar to a scalpel, enabling them to sculpt around and impact specific target markets. Consent-based policies are more comparable to a sledgehammer that uniformly affects all market segments. For circumstances where it is difficult for the government to enact a law for the entire market, website subsidization policies may be appealing alternatives, as they may yield higher user surplus than consent-based policies.

Antecedents and Effects of Online Third-Party Information on Offline Impressions

Abstract: Warranting theory articulates the process by which individuals connect online information to an offline target, guiding impression formation. The presence of online information alone may not innately guide impression formation about a target. Rather, the connection of that claim to perceptions of a target’s offline self should be driven by several antecedents. The reported experiment tested the antecedent factors of third-party claims with respect to perceptions and behavioral intentions toward a course instructor. Undergraduate students in the United States ( N = 209) viewed a hypothetical professor-rating website reflecting a 2 (target reply: present or absent) × 2 (rater identifiability: identifiable or anonymous) × 2 (number of ratings: many or few) × 2 (average rating: present or absent) experimental design, and reported the characteristics they perceived the target professor to possess offline. Results of a structural equation model revealed only an individual’s ability to reply to online information influenced judgments of warranting value; but the warranting value of the online information influenced subsequent impressions of the target’s offline attributes.

A Comparison Study of Doctor-Patient Internet Interactions in Traditional and Modern Medicine: Empirical Evidence from Online Healthcare Communities

Online healthcare platforms serve not just as a medical knowledge-sharing community but also bring about effective interactions between professional physicians and patients. However, it is unclear whether online technology adoption affects such interactions in the same way between traditional Chinese medicine and modern medical departments. By utilizing a large sample of online doctor-patient interaction information from 168,870 doctor-specific interactive webpages recorded in a famous Chinese online healthcare community, this paper studies the differences between 17,513 traditional medicine doctor homepages and 151,357 others from more than 100 different specialty areas. Our chosen platform is representative since it covers about 800,000 physicians working at over 10,000 hospitals across all major provincial regions in China. We document that online medical service users tend to accept and use online health care services. However, patients seeing Chinese medicine doctors exhibit the following unique characteristics. They still prefer choosing doctors according to third-party information and may be reluctant to pay for the current online service price level. This problem is hard to overcome by the platform in the short run. Patients need a long-term process to adapt to the upgraded medical environment gradually. Therefore, establishing a personalized doctor recommendation system has become the most urgent demand presently.

Internet Service Providers and Intermediary Liabilities

Just as the provision of goods in the physical world necessitates the involvement of numerous entities that act as intermediaries, the internet supply chain involves several online intermediaries that provide the infrastructure via which customers can exchange information. These can include but are not limited to, telecom and internet service providers, web hosting, Internet search engines, social networking, instant messaging, and so on. It is now impossible to consider life without the internet. The internet, which connects billions of people globally, is a key pillar of the modern information society for creating and trading material. The way we connect and share information has changed, with many negative consequences, and it's not every day that intermediaries are neutral. The judicial process has continued to shape and solidify legislation relating to intermediaries over the years. In India section 79, of the Information technology Act, 2000 governs intermediaries (service providers), under this law no person providing any service as a network service provider shall be liable, rules or regulations made thereunder for any third-party information or data made available by him if he proves that the offense or contravention was committed without his knowledge or that he had exercised all due diligence to prevent the commission of such offense or contravention(the information technology act, 2000, 2000). In 2017, UNESCO published the book “Fostering Freedom Online: The Role of Internet Intermediaries”. It aimed to shed light on how internet intermediaries both foster and restrict freedom of expression across a range of jurisdictions, circumstances, technologies, and business models. (MacKinnon Rebecca et al., 2015). In Ghana, the (Data Protection Act, 2012) was borne by the constitution to protect the privacy of the individual and personal data by regulating the processing of personal information, providing the process to obtain, hold, use or disclose personal information, and for related matters. Serving as a check to these internet intermediaries. In the (electronic transactions act, 2008 (ACT 772)), section 90 is dedicated to the Liability of service providers and intermediaries. “Liability” means that intermediaries must prevent the occurrence of unlawful or harmful activity by users of their services. Failure to do so may result in legal orders compelling the intermediary to act or expose the intermediary to civil or criminal legal action (APC). Keywords: intermediaries, Internet Service Providers, liable, jurisdictions, internet BOOK Chapter ǀ Research Nexus in IT, Law, Cyber Security & Forensics. Open Access. Distributed Free Citation: Anna Asunka (2022): Internet Service Providers and Intermediary Liabilities Book Chapter Series on Research Nexus in IT, Law, Cyber Security & Forensics. Pp 113-118 www.isteams.net/ITlawbookchapter2022. dx.doi.org/10.22624/AIMS/CRP-BK3-P19

Integrated Design and Development of Intelligent Scenic Area Rural Tourism Information Service Based on Hybrid Cloud.

Although the “Internet+” technologies (big data and cloud computing) have been implemented in many industries, each industry involved in rural tourism economic information services has its own database, and there are still vast economic information resources that have not been exploited. Z travel agency through rural tourism enterprise third-party information services and mobile context-awareness-based Z travel has achieved good economic and social benefits by deep value mining and innovative application of the existing data of the enterprise through the third-party information service of rural tourism enterprises and mobile context-aware travel recommendation service. It clearly demonstrates that, in order to maximise the benefits of economic data, rural tourist businesses should focus not only on the application of new technologies and methodologies but also on the core of demand and data-driven and thoroughly investigate the potential value of current data. This paper mainly analyzes the problems related to how rural tourism can be upgraded under the smart tourism platform, with the aim of improving the development of China's rural tourism industry with the help of an integrated smart tourism platform, and proposes a hybrid cloud-based integrated system of smart scenic rural tourism information services, which can meet the actual use needs of rural tourism, with good shared service effect and platform application performance, and promote the development of rural tourism and resource utilization rate.

Health Belief Model (HBM) and vaccination during pandemics

IntroductionWith the COVID-19 pandemic recognized as a major threat to human health, promoting vaccination is of paramount importance to public health.ObjectivesTo examine the association between factors of the Health Belief Model (HBM) and intentions to be vaccinated against COVID-19, when a vaccine becomes available.MethodsA literature review has been made through PubMed database.ResultsThe HBM dimensions “perceived barriers”, “perceived benefits” and “perceived severity” were considered to be significant predictors of acceptance of vaccinations. The HBM constructs of cues to action (trust in third-party information sources), perceived severity of and susceptibility to COVID-19, and beliefs about the protection benefits of a COVID-19 vaccine, subsequently may elicit willingness to vaccinate. Individual predictors of vaccination were believing the vaccine is effective at preventing COVID-19, recalling their doctor recommending the vaccine. Common perceived barriers against vaccination included believing the vaccine could give people the virus, believing the vaccine can make individuals ill afterwards and preferring to develop immunity “naturally”. Patients who delayed and refused vaccine doses were more likely to have vaccine safety concerns and perceive fewer benefits associated with vaccines.ConclusionsHBM is an effective tool for identifying facilitators and barriers to health behaviors. Health promotion should make use of the HBM, as the model provides a theoretically understanding of the dynamics that may enable the success of important health-related policy in the wake of COVID-19 and future pandemics and identifies the communication mechanisms that must be leveraged by governments and authorities in enforcing policy.DisclosureNo significant relationships.