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With the growing trend of Instagram usage among politicians, this study investigates the effects of two self-presentation styles of personalization (i.e. presenting the private over the public life of a politician) and interactivity (i.e. presenting the active versus passive voice of a politician) on voters' perception of politicians and their voting intention in the context of Instagram. The results of an experiment (n = 120) showed that presenting the public life of a politician had a more positive effect on perception of character, compared to the private life. Using a highly interactive style on Instagram had a more positive effect on perception of character, compared to a lack of interactivity. Finally, character perception was found to be a mediator for the effects of personalization and interactivity on voting intention. Theoretical implications with respect to impression management on social media, as well as practical implications for political engagement, are discussed.

Insurers are well versed in the litany of challenging conditions facing the sector. These challenges are economic, political, regulatory, legal, social, and technological. As a result of those pressures, the industry is experiencing increasing competition, muted growth, and an excess of capital. The increased connectivity among household and workplace devices, the development of autonomous vehicle and the rising threat of cyber attacks are transforming the way people live and risk they need to mitigate with insurance products. Insurers need to adopt their business models address the changes which can be threatening to the growth of the industry (Deloitte, 2017). Innovation is widely regarded as pinnacle success factor in highly competitive and global economy. An innovation perspective draws a clear picture of future opportunities that lie ahead. The main purpose of this paper is to explore the relationship among innovations capability, innovation type and on the different aspect of firm performance including innovation, market and financial performance based on an empirical study covering insurance industry in Sri Lanka. The research framework developed in this study was tested 379 senior managers of insurance companies. The empirical verification of assumption of this model has given evidence to confirm the relationship between innovation capabilities; innovation efforts and firm performance are significant and strong. The results of this study could lead effective management of innovation capability which helps to deliver more effective innovations outcomes to generate better performance and it would be benefits for management of the insurance companies.

Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Information Behavior -- "We Can Be Our Best Alliance": Resilient Health Information Practices of LGBTQIA+ Individuals as a Buffering Response to Minority Stress -- 1 Introduction -- 2 Literature Review -- 2.1 Minority Stress -- 2.2 Resiliency of LGBTQIA+ Individuals -- 2.3 Health Information Practices of LGBTQIA+ Individuals -- 2.4 Research Questions -- 3 Methods -- 4 Findings -- 4.1 Participant Demographics -- 4.2 Finding 1: LGBTQIA+ Individuals Engage in Resilient Health Information Practices on All Socio-Ecological Levels -- 4.3 Finding 2: Community-Based Resilience Characterizes Collective Health Information Practices -- 4.4 Finding 3: LGBTQIA+ Sub-Communities and LGBTQIA+ Individuals with Intersecting Minority Identities Integrate Externally Produced Stressors -- 5 Discussion and Implications -- 5.1 Stressors Are Integrated into LGBTQIA+ Communities -- 5.2 Relationship Between Health Information Practices and Resilience -- 6 Limitations -- 7 Conclusion -- References -- Pregnancy-Related Information Seeking in Online Health Communities: A Qualitative Study -- 1 Introduction -- 2 Background and Related Work -- 3 Methods -- 3.1 Data Collection -- 3.2 Data Analysis -- 4 Results -- 4.1 General Observations -- 4.2 Information Needs at Each Stage of Pregnancy -- 4.3 Types of Replies Posters Received -- 5 Discussion -- 6 Limitations and Future Work -- 7 Conclusions -- References -- COVID-19 Epidemic Information Needs and Information Seeking Behavior of Overseas Chinese Students -- 1 Introduction -- 2 Literature Review and Research Hypotheses -- 3 Research Methods -- 3.1 Questionnaire Design -- 3.2 Survey and Data Collection Procedure -- 4 Analysis Results -- 4.1 Epidemic Information Needs of Overseas Chinese Students -- 4.2 Regression Analysis -- 5 Discussion.

AbstractThe bulk of the particulate matter (PM) emissions generated during construction projects are significantly released during the earthwork and foundation stages. To reduce and control these emissions, it is necessary to have reliable data on their characteristics. However, construction PM are poorly characterized because their composition depends on several factors (e.g., weather and reduction measures) and various on-site activities whose effects may interact. To address these challenges, a long-term quantitative empirical study using advanced statistical methods was performed on a real construction project during the whole earthwork and foundation stages. The upwind-downwind method was used to collect data on PM emissions throughout the earthwork and foundation construction process, and correlation analysis, paired samples t-test, and partial least squares regression (PLS) were used to analyze TSP, PM10, and PM2.5 emissions and their relationships with various influencing factors. The results showed that both earthwork and foundation constructions generate substantial PM emissions because there were differences with statistical significances in the PM levels measured upwind and downwind of the construction site. TSP and PM10 emissions correlated moderately with humidity and wind speed. However, temperature and atmospheric pressure did not correlate significantly with any of the measured emissions. The main activities responsible for PM emissions during the earthwork and foundation construction stages were hammer piling, waste stacking, and materials transportation. Water spraying was found to effectively reduce TSP and PM10 emissions, while the use of a fog cannon more effectively reduced PM2.5 emissions. Construction PM is an important source of atmospheric pollution in cities; the findings presented herein provide cornerstone and knowledge to guide efforts for reducing its impact.

Tian Lan,1,2,* Yan-Hui Liao,3,* Jian Zhang,2 Zhi-Ping Yang,4 Gao-Si Xu,5 Liang Zhu,1 Dai-Ming Fan4 1Department of Health Care Management and Medical Education, The School of Military Preventive Medicine, Air Force Medical University, Xi'an, People's Republic of China; 2Department of Health Care Management, The Second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China; 3Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China; 4State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Medical University, Xi'an, People's Republic of China; 5Department of Nephrology, The Second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China*These authors contributed equally to this workCorrespondence: Liang Zhu; Dai-Ming Fan Email liangjulia0317@163.com; li20201226@163.comObjective: The current work aimed to examine the rates of and risk factors for mortality and readmission after heart failure (HF).Setting: A systematic search was carried out in PubMed, the Cochrane Library, and EMBASE to identify eligible reports. The random-effects model was utilized to evaluate the pooled results.Participants: A total of 27 studies with 515,238 participants were finally meta-analysed. The HF patients had an average age of 76.3 years, with 51% of the sample being male, in the pooled analysis.Primary and Secondary Outcome Measures: The outcome measures were 30-day and 1-year readmission rates, mortality, and risk factors for readmission and mortality.Results: The effect sizes for readmission and mortality were estimated as the mean and 95% confidence interval (CI). The estimated 30-day and 1-year all-cause readmission rates were 0.19 (95% CI 0.14– 0.23) and 0.53 (95% CI 0.46– 0.59), respectively, while the all-cause mortality rates were 0.14 (95% CI 0.10– 0.18) and 0.29 (95% CI 0.25– 0.33), respectively. Comorbidities were highly prevalent in individuals with HF.Conclusion: Heart failure hospitalization is followed by high readmission and mortality rates.Keywords: heart failure, meta-analysis, prevalence, readmission, mortality, hospitalization