Can financial education improve consumer welfare in investment markets? Evidence from China

Under the current complex economic situation and the impact of COVID-19, China's capital market reform has entered a critical period, with opportunities and challenges coexisting. One of the important challenges is how to improve the well-being of investors in capital markets. Financial education, which has been offered by financial institutions in many countries in recent years, is likely to become an effective policy instrument to meet this challenge. Using survey data of individual investors from China, this study examines the potential impact of financial education programs offered by financial institutions on individuals' investment diversification. The results show financial education is positively associated with the investment diversification of individual investors. An analysis of the underlying mechanism shows that financial education contributes to the improvement of investment diversification by mitigating limited attention bias, strengthening social trust, and promoting the use of professional investment advisors. These findings suggest that the persistent promotion of financial education programs has a positive effect on optimizing financial asset allocation decisions and improving financial welfare of Chinese households. [ FROM AUTHOR] Copyright of Journal of the Asia Pacific Economy is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Impact of the COVID-19 pandemic on patients with osteogenesis imperfecta

OBJECTIVES: On March 11, 2020, the WHO classified COVID-19 as a global pandemic. Measures to quell the pandemic included limiting non-essential activities including clinic visits and procedures. It is unclear if individuals with OI had disruptions in their access to healthcare or medications, and if such disruptions affected patients' symptoms. METHOD(S): A REDCap survey was distributed through the OI Foundation on August 31. Surveys completed through September 11 by individuals with OI or their caregiver are included in this analysis. Participants were asked to compare their symptoms and access to healthcare during the first 4 months of the pandemic to the 4 months before the pandemic. RESULT(S): 85 surveys were completed, and 6 were partially completed. The median age of participants was 40 years;35% were children. 32% of participants self-identified as having severe OI. Although most reported no changes in bone pain or fractures, 46% reported they were less likely to seek emergency medical care to treat a fracture, while 33% reported they were more likely to treat fractures at home (Fig 1A). There were delays in accessing all services, with greatest delays accessing dentistry (74%) and aquatic therapy (84%) (Fig 1B). 36% of participants receiving bisphosphonate infusions had delayed infusions because of the pandemic (Fig 1C). Of note, 50% of planned surgeries were delayed. CONCLUSION(S): Although many individuals with OI and their caregivers reported delays in accessing bone-related services/clinics during this 4-month period, there was not a concomitant increase in reported symptoms. This may have related to shelter-in-place restrictions and decreased activity. Limitations of this study include small sample size and potential selection bias because responses were obtained only from OIF members. To address these limitations, we are distributing the survey through healthcare providers of individuals with OI across major regions of the US from a variety of practice types including endocrine, orthopedics and multidisciplinary clinics. Furthermore, as the COVID-19 pandemic continues, we hope that this survey will provide information to address what aspects of healthcare may be in greatest need, as well as the modality through which services may be met. (Figure Presented).

Who Does Not Benefit from Fact-checking Websites?: A Psychological Characteristic Predicts the Selective Avoidance of Clicking Uncongenial Facts

Fact-checking messages are shared or ignored subjectively. Users tend to seek like-minded information and ignore information that conflicts with their preexisting beliefs, leaving like-minded misinformation uncontrolled on the Internet. To understand the factors that distract fact-checking engagement, we investigated the psychological characteristics associated with users' selective avoidance of clicking uncongenial facts. In a pre-registered experiment, we measured participants' (N = 506) preexisting beliefs about COVID-19-related news stimuli. We then examined whether they clicked on fact-checking links to false news that they believed to be accurate. We proposed an index that divided participants into fact-avoidance and fact-exposure groups using a mathematical baseline. The results indicated that 43% of participants selectively avoided clicking on uncongenial facts, keeping 93% of their false beliefs intact. Reflexiveness is the psychological characteristic that predicts selective avoidance. We discuss susceptibility to click bias that prevents users from utilizing fact-checking websites and the implications for future design. © 2023 Owner/Author.

A survival genome-wide association study to identify variants associated with COVID-19 risk of death

Background/Objectives: SARS-CoV-2 infection clinical manifestations hugely vary among patients, ranging from no symptoms, to life-threatening conditions. This variability is also due to host genetics: COVID-19 Host Genetics Initiative identified six loci associated with COVID-19 severity in a previous case-control genome-wide association study. A different approach to investigate the genetics of COVID-19 severity is looking for variants associated with mortality, e.g. by analyzing the association between genotypes and time-to-event data. Method(s): Here we perform a case-only genome-wide survival analysis, of 1,777 COVID-19 patients from the GEN-COVID cohort, 60 days after infection/hospitalization. Case-only studies has the advantage of eliminating selection biases and confounding related to control subjects. Patients were genotyped using Illumina Infinium Global Screening Arrays. PLINK software was used for data quality check and principal component analysis. GeneAbel R package was used for survival analysis and age, sex and the first four principal components were used as covariates in the Cox proportional hazard model. Result(s): We found four variants associated with COVID-19 patient survival at a nominal P < 1.0 x 10-6. Their minor alleles were associated with a higher mortality risk (i.e. hazard ratios (HR)>1). In detail, we observed: HR=1.03 for rs28416079 on chromosome 19 (P=1.34 x 10-7), HR=1.15 for rs72815354 on chromosome 10 (P=1.66 x 10-7), HR=2.12 for rs2785631 on chromosome 1 (P=5.14 x 10-7), and HR=2.27 for rs2785631 on chromosome 5 (P=6.65 x 10-7). Conclusion(s): The present results suggest that germline variants are COVID-19 prognostic factors. Replication in the remaining HGI COVID-19 patient cohort (EGAS00001005304) is ongoing at the time of submission.

Changes in the characteristic of dietary and lifestyle during Covid-19 lockdown in different countries: A systematic review

Due to the covid-19 pandemic, governments were forced to adopt lockdown policies to effectively control the pandemic. These restrictions increased anxiety, depression, and lifestyle changes. This systematic review aims to analyze changes in dietary patterns in the worldwide population during the COVID-19 lockdown. 11 studies were selected from the 1412 founds after searching in three databases. Searching keywords were: "Change dietary”, "COVID-19 dietary” "Confinement dietary”. Inclusion criteria were: studies that collected people's dietary patterns during the COVID-19 lockdown and recorded the consumption of food groups and the variations in lifestyle habits. This research found that people increased their consumption of food. People increased their sedentary hours, slept more but exercised less, leading to gain weight during the lockdown, as well as a poorer sleeping quality and higher anxiety levels.Alternate : Debido a la pandemia de COVID-19, los gobiernos se vieron obligados a tomar medidas de confinamiento para controlar eficazmente el contagio. Sin embargo, después de un tiempo de control al poblado, estas restricciones hicieron la gente tener más ansiedad y depresión, incluso cambiar el estilo de vida.

The role of inference in AI: Start S.M.A.L.L. with mindful modeling

This chapter explores trustworthiness in AI and penetrates the black-box opacity through explainable, fair, and ethical AI solutions. AI remains a spirited topic within academic, government, and industrial literature. Much has occurred since the last AI winter in the early 1990's;yet, numerous sources indicate the initial successes solving problems like computer vision, speech recognition, and natural sciences may wane — plunging AI into another winter. Many factors contributed to advances in AI: more data science courses in universities producing data-science capable graduates, high venture capital funding levels encouraging startups, and a decade of broadening awareness among corporate executives about AI promises, real or perceived. Nonetheless, could sources like Gartner be right? Are we approaching another AI winter? As the world learned during the COVID-19 pandemic, when we find ourselves in a crisis, focusing on the fundamentals can have a powerful effect to easing the troubles. As AI makes history, it relies on progress from other domains such as data availability, computing power, and algorithmic advances. Balance among elements maintains a healthy system. AI is no different. Too much or too little of any elemental capability can slow down overall progress. This chapter integrates fundamental ideas from psychology (heuristics and bias), mindfulness in modeling (conceptual models in group settings), and inference (both classical and contemporary). Practitioners may find the techniques proposed in this chapter useful next steps in AI evolution aimed at understanding human behavior. The techniques we discuss can protect against negative impacts resulting from a future AI winter through proper preparation: appreciating the fundamentals, understanding AI assumptions and limitations, and approaching AI assurance in a mindful manner as it evolves. This chapter will address the fundamentals in a unifying example focused on healthcare, with opportunities for trustworthy AI that is impartial, fair, and unbiased. © 2023 Elsevier Inc. All rights reserved.

TeleNGAGE: Enhancing Collaboration between Families and Schools

Findings in the literature strongly support the importance of family engagement in education. However, effective partnerships between families and schools are rare, especially in ethnically diverse communities where families may lack efficacy or face structural challenges for engagement. Additionally, educator perspectives toward engagement are often framed by White, middle-class paradigms. Educators often fail to acknowledge structural challenges faced by low-income families or the cultural contributions low-income and/or minoritized families can bring. To facilitate engagement between families and schools, a new ECHO® line, TeleNGAGE, was developed at Oklahoma State University, Educational Leadership program. ECHO®, traditionally used in the field of medicine, has utility for professional development for educators because it offers a platform for case-based learning where real problems are addressed in real-time. Additionally, didactic presentations provide professional development for collaborative learning. Through the lens of Communities of Practice (CoP), this qualitative case study explores how relationships between families and schools changed as a result of participation in TeleNGAGE. Tenets of CoP, negotiated meaning, mutual engagement, and a shared repertoire, support a collaborative approach to addressing complex problems. Findings suggest that a CoP has emerged through TeleNGAGE and has resulted in changes in perspectives across families and educational leaders about "what it means to be engaged," enhanced family efficacy for engagement, and changes in engagement practice as family voice has expanded through sharing of concerns/perspectives. These findings have important implications for equitable engagement in a convenient, cost-free environment where educators and families can communicate and develop mutually supportive understandings and practices.

A Systematic Review Identifying Adverse Health Outcomes and Mortality Rates Associated with Telehealth

Background: The literature supporting telehealth management is growing accelerated by the COVID-pandemic. We hypothesize that there are risks of adverse events associated with telehealth interventions. Methods: A review of PubMed (including MEDLINE), Embase, ISI (Web of Science), VHL/GHL, Scopus, Science Direct, and PsycINFO was conducted for all adverse events associated with telehealth from January 1, 1960 to March 1, 2021. This systematic review and meta-analyses were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: Of 5,144 citations 78 published studies met criteria for quality evaluation and underwent full text ion including the qualitative synthesis. Of the 78 included studies 8 were included in the quantitative synthesis resulting in 2 meta-analyses. The results of the meta-analysis suggest that monitoring patients using telehealth techniques is associated with 40% lower mortality risks among patients suffering from heart failure, compared to those who received traditional care. The results of the random-effects meta-analysis showed the pooled relative risk of mortality to be 0.60, indicating that patients that underwent telemonitoring had a lower mortality risk compared with the patients that underwent usual care. Among patients with heart implants, patients who received telemonitoring had a 35% lower mortality risk compared to patients receiving traditional care. Conclusions: While RCTs of telehealth interventions demonstrate enhanced patient outcomes in a number of studies and pave the way to evidence-based practice, the heterogeneity of the research questions suggest an important need for more complementary studies with consistent outcome assessments.

The Importance of Transformational Leadership to Support Faculty Diversity in Our Nation's Predominantly White Institutions of Higher Learning

Predominantly white institutions (PWIs) struggle to attract and retain underrepresented faculty. Despite aspirations for diversity, the reality remains that underrepresented faculty are not hired and retained in numbers sufficient to change the institution's demographics. The leadership of PWIs strives for solutions to ameliorate the trend in recruitment, retention, and climate. The issue has gained even more significance recently due to the global coronavirus pandemic when layoffs, non-renewals, and hiring freezes have been widely imposed. This case examines how systemic leadership problems, mindsets, and climates keep PWIs at the status quo, and invites application of leadership and adult learning theories to develop a strategy for improving faculty diversity at PWIs.

Effective incentives for increasing COVID-19 vaccine uptake.

In this study, we examined the relative effectiveness of prestige-based incentives (vaccination of an expert scientist/president/politician/celebrity/religious leader), conformist incentives (vaccination of friends and family) and risk-based incentives (witnessing death or illness of a person from the disease) for increasing participants' chances of getting vaccinated with respect to their coronavirus disease 2019 (COVID-19) vaccine intention. We conducted a cross-cultural survey using demographically representative samples from the UK (n = 1533), USA (n = 1550) and Turkey (n = 1567). The most effective incentives in all three countries were vaccination of an expert scientist, followed by vaccination of friends and family members and knowing someone dying from the disease. Vaccination of an expert scientist was significantly more effective at increasing vaccine intention than any other incentive. Vaccine incentives, regardless of the incentive type, were much less effective for those who originally refused the COVID-19 vaccine than for those who were hesitant to receive the vaccine. Although the percentage of vaccine-hesitant participants was highest in Turkey, the mean effectiveness scores of incentives were also the highest in Turkey, suggesting that an informed vaccine promotion strategy can be successful in this country. Our findings have policy applicability and suggest that positive vaccination messages delivered by expert scientists, vaccination of friends and family and risk-based incentives can be effective at increasing vaccine uptake.

Optimization and Deoptimization of Codons in SARS-CoV-2 and Related Implications for Vaccine Development.

The spread of coronavirus disease 2019 (COVID-19), caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), has progressed into a global pandemic. To date, thousands of genetic variants have been identified among SARS-CoV-2 isolates collected from patients. Sequence analysis reveals that the codon adaptation index (CAI) values of viral sequences have decreased over time but with occasional fluctuations. Through evolution modeling, it is found that this phenomenon may result from the virus's mutation preference during transmission. Using dual-luciferase assays, it is further discovered that the deoptimization of codons in the viral sequence may weaken protein expression during virus evolution, indicating that codon usage may play an important role in virus fitness. Finally, given the importance of codon usage in protein expression and particularly for mRNA vaccines, it is designed several codon-optimized Omicron BA.2.12.1, BA.4/5, and XBB.1.5 spike mRNA vaccine candidates and experimentally validated their high levels of expression. This study highlights the importance of codon usage in virus evolution and provides guidelines for codon optimization in mRNA and DNA vaccine development.

Racial-ethnic disparities in psychological distress during the COVID-19 pandemic in the United States: the role of experienced discrimination and perceived racial bias.

BACKGROUND: Research on mental health disparities by race-ethnicity in the United States (US) during COVID-19 is limited and has generated mixed results. Few studies have included Asian Americans as a whole or by subgroups in the analysis. METHODS: Data came from the 2020 Health, Ethnicity, and Pandemic Study, based on a nationally representative sample of 2,709 community-dwelling adults in the US with minorities oversampled. The outcome was psychological distress. The exposure variable was race-ethnicity, including four major racial-ethnic groups and several Asian ethnic subgroups in the US. The mediators included experienced discrimination and perceived racial bias toward one's racial-ethnic group. Weighted linear regressions and mediation analyses were performed. RESULTS: Among the four major racial-ethnic groups, Hispanics (22%) had the highest prevalence of severe distress, followed by Asians (18%) and Blacks (16%), with Whites (14%) having the lowest prevalence. Hispanics' poorer mental health was largely due to their socioeconomic disadvantages. Within Asians, Southeast Asians (29%), Koreans (27%), and South Asians (22%) exhibited the highest prevalence of severe distress. Their worse mental health was mainly mediated by experienced discrimination and perceived racial bias. CONCLUSIONS: Purposefully tackling racial prejudice and discrimination is necessary to alleviate the disproportionate psychological distress burden in racial-ethnic minority groups.

Diagnostic Errors in Japanese Community Hospitals and Related Factors: A Retrospective Cohort Study.

Diagnostic error has recently become a crucial clinical problem and an area of intense research. However, the reality of diagnostic errors in regional hospitals remains unknown. This study aimed to clarify the reality of diagnostic errors in regional hospitals in Japan. A 10-month retrospective cohort study was conducted from January to October 2021 at the emergency room of Oda Municipal Hospital in central Shimane Prefecture, Japan. Participants were divided into groups with or without diagnostic errors, and independent variables of patient, physician, and environmental factors were analyzed using Fisher's exact test, univariate (Student's t-test and Welch's t-test), and logistic regression analyses. Diagnostic errors accounted for 13.1% of all eligible cases. Remarkably, the proportion of patients treated without oxygen support and the proportion of male patients were significantly higher in the group with diagnostic errors. Sex bias was present. Additionally, cognitive bias, a major factor in diagnostic errors, may have occurred in patients who did not require oxygen support. Numerous factors contribute to diagnostic errors; however, it is important to understand the trends in the setting of each healthcare facility and plan and implement individualized countermeasures.

Foundations for fairness in digital health apps.

Digital mental health applications promise scalable and cost-effective solutions to mitigate the gap between the demand and supply of mental healthcare services. However, very little attention is paid on differential impact and potential discrimination in digital mental health services with respect to different sensitive user groups (e.g., race, age, gender, ethnicity, socio-economic status) as the extant literature as well as the market lack the corresponding evidence. In this paper, we outline a 7-step model to assess algorithmic discrimination in digital mental health services, focusing on algorithmic bias assessment and differential impact. We conduct a pilot analysis with 610 users of the model applied on a digital wellbeing service called Foundations that incorporates a rich set of 150 proposed activities designed to increase wellbeing and reduce stress. We further apply the 7-step model on the evaluation of two algorithms that could extend the current service: monitoring step-up model, and a popularity-based activities recommender system. This study applies an algorithmic fairness analysis framework for digital mental health and explores differences in the outcome metrics for the interventions, monitoring model, and recommender engine for the users of different age, gender, type of work, country of residence, employment status and monthly income. Systematic Review Registration: The study with main hypotheses is registered at: https://osf.io/hvtf8.

Decision Challenges for Managing Acute Paediatric Infections: Implications for Antimicrobial Resistance.

Overprescribing of antibiotics in paediatrics accounts for a significant proportion of inappropriate antibiotic use in human healthcare, thereby contributing to the global health emergency of antimicrobial resistance. Antimicrobial stewardship efforts are complicated by the unique social dynamics in paediatric healthcare, with a specific challenge being the prominent role of parents and carers who act as intermediaries between prescribers and paediatric patients. In this Perspective article concentrating on healthcare of the United Kingdom, we describe this complicated interplay of different decision stakeholders (patients, parents and prescribers), outline four dimensions of decision challenges (social, psychological, systemic and specific diagnostic and treatment challenges) and provide a number of theory-based strategies for supporting different stakeholders during the decision process, ultimately with the aim of improving antimicrobial stewardship. Key decision challenges for patients and carers include limited knowledge and experience of managing infections, which were exacerbated during the COVID-19 pandemic and frequently result in health anxiety and inappropriate health-seeking behaviours. Challenges for medical prescribers span societal pressures from prominent patient litigation cases, cognitive biases, and system pressures to specific diagnostic problems (e.g., age limitations of current clinical scoring systems). Strategies for mitigating decision challenges in paediatric infection management will need to include a range of context- and stakeholder-specific actions, including improvements of integrated care and public health education as well as better clinical decision tools and access to evidence-based guidelines.

On the Methodological Aspects of the Clinical Trials for COVID-19 Conducted in the First Year of the Pandemic: A Descriptive Analysis.

In 2020, the whole planet was plagued by the extremely deadly COVID-19 pandemic. More than 83 million people had been infected with COVID-19 while more than 1.9 million people around the planet had died from this virus in the first year of the pandemic. From the first moment, the medical community started working to deal with this pandemic. For this reason, many clinical trials have been and continue to be conducted to find a safe and efficient cure for the virus. In this paper, we review the 96 clinical trials, registered in the ClinicalTrials.gov database, that had been completed by the end of the first year of the pandemic. Although the clinical trials contained significant heterogeneity in the main methodological features (enrollment, duration, allocation, intervention model, and masking) they seemed to be conducted based on an appropriate methodological basis.

Forging organizational resilience through green value co-creation: The role of green technology, green operations, and green transaction capabilities

The study assessed the mediating role of green organizational capabilities (green technology development, green operations, and green transactions), in the relationship between green value co-creation and organizational resilience among Chinese manufacturing firms, that is, firms' ability to build strong organizational resilience in response to the COVID-19 pandemic. It focused on manufacturing firms operating within Shenzhen, a coastal city located within the Guangdong province in southeastern China. The sample comprised 234 firms. Data were analysed using a covariance-based structural equation modeling. Findings revealed that green value co-creation had no direct effect on organizational resilience, rather, its effect was realized indirectly through green organizational capabilities. The study concludes that manufacturing companies can augment their organizational capabilities by leveraging the knowledge of their customers through green value co-creation to build strong organizational resilience. Theoretical and managerial implications have been provided.

Cognitive bias in the context of epidemic

In connection with the scope and duration of the COVID-19 pandemic, the clinical judgement of clinicians and medical practitioners could be influenced such that diagnostic errors (delays and inaccuracies) may ensue. We hereby recall through two clinical scenarios the constant need for practitioners to take a step back in reflecting of the diagnostic process to avoid the <<tunnel effect>> which may result in delaying common and frequent infectious diseases. The flu-like symptoms presented by these patients (fever, myalgia and asthenia...) quickly prompted our emergency room colleagues to suspect SARS-CoV-2 infection. However, further investigations including imagery and blood cultures revealed completely different but common infectious disease conditions, which are potentially fatal.Copyright © 2020 Editions Medecine et Hygiene. All rights reserved.

Optimization of investment performance based on personality traits: Acces la Success

To achieve their investment objectives, each investor has a strategy in place. A high amount of personality traits element influenced (perceived) investment performance. The purpose of this research was to test how the Big Five personality qualities affected (perceived) investment performance. The hypotheses were tested using PLS-SEM. Individual stock investors in Indonesia were studied, and the results revealed that openness and neuroticism personality had a negative impact on (perceived) investment performance. Consciousness, extraversion, and agreeableness, on the other hand, all had a positive effect on (perceived) investment performance. This research shows the importance of personality traits when allocating assets to meet investment objectives and improves behavioral finance theory.