Quantifying the effect of ESG-related news on Chinese stock movements.

Current Environmental, Social, and Governance (ESG) rating systems encounter challenges due to their subjectivity, time lag, and inconsistent coverage, which present significant obstacles for investors in the stock market. In contrast, news reporting data, characterized by its objectivity, timeliness, publicity, and sociality, has been a crucial source of quality market information for investors. The potential of ESG-related news as a robust complement to the data sources used in existing ESG rating systems merits further exploration. This study investigates the impact of ESG-related news on the Chinese stock market, with the goal of providing compelling evidence for integrating news media into ESG assessments. By analyzing 32,296 ESG-related news articles covering 3643 companies in the Chinese market from 2015 to 2021, we utilize event study methodology to assess the market's abnormal returns in response to ESG-related news. Our findings suggest a significant market impact from ESG-related news, indicating that investors are increasingly attentive to information pertaining to ESG issues. The study also reveals that different attributes of ESG-related news have diverse effects on the market. Specifically, news with negative sentiments has the most significant impact, and investors demonstrate a stronger reaction to ESG-related news disseminated through unofficial media. Furthermore, the study highlights that enterprise heterogeneity affects the impact of ESG-related news, with companies in the secondary and tertiary industries showing higher sensitivity. Privately-owned enterprises are found to be more influenced by such news compared to state-owned enterprises. This study offers a novel perspective in evaluating corporate ESG performance using news media, proposing a more effective and objective method to assess and manage corporate sustainability in a dynamic market landscape.

Thinking in Stories: Narrative Reasoning of an Occupational Therapist Supporting People with Profound Intellectual Disabilities' Engagement in Occupation.

This article illustrates narrative reasoning using the findings from research into an occupational therapy intervention promoting changes in the ways a staff team facilitated meaningful engagement in occupation. Qualitative critical ethnographic case study research explored a single case over one year of an occupational therapist working with five people with profound intellectual disabilities and their support network. Data were collected using participant observation, interviews and document analysis. Illustrated by an ethnodramatic vignette, the findings demonstrate how the occupational therapist reasoned narratively by eliciting, telling and creating stories and how this supported individualization of her intervention to the specific context. Creation of a prospective story that the support network were invited to share, guided and propelled the intervention toward its hoped-for ending. Narrative reasoning was particularly apparent in opportunities to reflect aloud, supporting occupational therapists' need of opportunities for reflection through story-sharing and story-making. Case study and ethnographic research methodologies may be useful in further clinical reasoning research to better understand narrative reasoning.

Comparison of Experimental Strategies to Study l-Type Amino Acid Transporter 1 (LAT1) Utilization by Ligands.

l-Type amino acid transporter 1 (LAT1), expressed abundantly in the brain and placenta and overexpressed in several cancer cell types, has gained a lot of interest in drug research and development, as it can be utilized for brain-targeted drug delivery, as well as inhibiting the essential amino acid supply to cancer cells. The structure of LAT1 is today very well-known and the interactions of ligands at the binding site of LAT1 can be modeled and explained. However, less is known of LAT1's life cycle within the cells. Moreover, the functionality of LAT1 can be measured by several different methods, which may vary between the laboratories and make the comparison of the results challenging. In the present study, the usefulness of indirect cis-inhibition methods and direct cellular uptake methods and their variations to interpret the interactions of LAT1-ligands were evaluated. Moreover, this study also highlights the importance of understanding the intracellular kinetics of LAT1-ligands, and how they can affect the regular function of LAT1 in critical tissues, such as the brain. Hence, it is discussed herein how the selected methodology influences the outcome and created knowledge of LAT1-utilizing compounds.

Impacts of COVID-19 and anti-pandemic policies on urban transport-an empirical study in China.

The COVID-19 pandemic that began in the last quarter of 2019 seriously impacted the transportation industry. Countries around the world adopted various restrictions and policies to prevent the spread of the pandemic, which resulted in a sharp drop in the demand for transportation. China was the first country to detect the pandemic and the fastest to recover. Existing policies and impacts were reviewed to analyze the impact of the pandemic on China's urban transportation sector and propose measures that may be taken to reduce the impact of COVID-19. This study reviews the impact on urban transportation system operations and how government should respond to a viral pandemic. The recovery measures during and after the pandemic and their hierarchical response system are analyzed. Furthermore, to empirically explore the effect of the recovery measures, this study adopted the Event Study Methodology (ESM) to quantitatively analyze the impact of the epidemic as well as anti-pandemic policies on the traffic flow sequence in the resurgence of COVID-19 in Beijing. The research findings provided solid policy implications and experiences for constructing sustainable urban transportation system and improve flexibility, reliability, and resilience of traffic governance in post-pandemic era.

Engaging military couples in marital research: does requesting referrals from service members to recruit their spouses introduce sample bias?

BACKGROUND: While enrolling dyads in research studies is not uncommon, there is limited literature on the utility of different recruitment strategies and the resulting selection biases. This paper examined two recruitment strategies used to enroll military couples in a longitudinal study, assessing the impact of both strategies on the representativeness of the final study sample. METHOD: Descriptive and bivariate analyses were conducted to 1) identify characteristics associated with spouse referral, 2) compare response rates based on recruitment strategy and assess whether recruitment strategy modified correlates of response propensity among spouses, and 3) assess whether referred spouse characteristics differed from non-referred spouses in the final sample. The study sample consisted of married US service members with 2-5 years of military service as of October 2011 and their spouses. RESULTS: Service members who referred their spouses to participate in the Millennium Cohort Family Study were more likely to be male, have children, serve in the Army, and have combat deployment experience than those who did not refer their spouse. Nearly two-thirds (n = 5331, 64.9%) of referred spouses participated in the Family Study, compared with less than one-third (n = 3458, 29.5%) of directly contacted spouses. Spouse characteristics also differed significantly between recruitment groups. CONCLUSIONS: Overall results suggest that minimal bias was introduced by using a referral recruitment methodology. Service members appeared to be more likely to refer their spouses if they perceived the research topic as relevant to their spouse, such that male service members with combat deployment experience were more likely to refer female spouses caring for multiple children. Referred spouses were significantly more likely to respond to the Millennium Cohort Family Study survey than those who were directly contacted; however, the overall success rate of using a referral strategy was less than recruiting spouses through direct contact. Differences between referred spouses and spouses contacted directly mirrored service member referring characteristics.

An experimental comparison of web-push vs. paper-only survey procedures for conducting an in-depth health survey of military spouses.

BACKGROUND: Previous research has found that a "web-push" approach to data collection, which involves contacting people by mail to request an Internet survey response while withholding a paper response option until later in the contact process, consistently achieves lower response rates than a "paper-only" approach, whereby all respondents are contacted and requested to respond by mail. METHOD: An experiment was designed, as part of the Millennium Cohort Family Study, to compare response rates, sample representativeness, and cost between a web-push and a paper-only approach; each approach comprised 3 stages of mail contacts. The invited sample (n = 4,935) consisted of spouses married to U.S. Service members, who had been serving in the military between 2 and 5 years as of October, 2011. RESULTS: The web-push methodology produced a significantly higher response rate, 32.8% compared to 27.8%. Each of the 3 stages of postal contact significantly contributed to response for both treatments with 87.1% of the web-push responses received over the Internet. The per-respondent cost of the paper-only treatment was almost 40% higher than the web-push treatment group. Analyses revealed no meaningfully significant differences between treatment groups in representation. CONCLUSION: These results provide evidence that a web-push methodology is more effective and less expensive than a paper-only approach among young military spouses, perhaps due to their heavy reliance on the internet, and we suggest that this approach may be more effective with the general population as they become more uniformly internet savvy.

Qualitative case study data analysis: an example from practice.

AIM: To illustrate an approach to data analysis in qualitative case study methodology. BACKGROUND: There is often little detail in case study research about how data were analysed. However, it is important that comprehensive analysis procedures are used because there are often large sets of data from multiple sources of evidence. Furthermore, the ability to describe in detail how the analysis was conducted ensures rigour in reporting qualitative research. DATA SOURCES: The research example used is a multiple case study that explored the role of the clinical skills laboratory in preparing students for the real world of practice. Data analysis was conducted using a framework guided by the four stages of analysis outlined by Morse ( 1994 ): comprehending, synthesising, theorising and recontextualising. The specific strategies for analysis in these stages centred on the work of Miles and Huberman ( 1994 ), which has been successfully used in case study research. The data were managed using NVivo software. REVIEW METHODS: Literature examining qualitative data analysis was reviewed and strategies illustrated by the case study example provided. Discussion Each stage of the analysis framework is described with illustration from the research example for the purpose of highlighting the benefits of a systematic approach to handling large data sets from multiple sources. CONCLUSION: By providing an example of how each stage of the analysis was conducted, it is hoped that researchers will be able to consider the benefits of such an approach to their own case study analysis. IMPLICATIONS FOR RESEARCH/PRACTICE: This paper illustrates specific strategies that can be employed when conducting data analysis in case study research and other qualitative research designs.

The safe passage study: design, methods, recruitment, and follow-up approach.

BACKGROUND: The Safe Passage Study is a large, prospective, multidisciplinary study designed to (1) investigate the association between prenatal alcohol exposure, sudden infant death syndrome (SIDS), and stillbirth, and (2) determine the biological basis of the spectrum of phenotypic outcomes from exposure, as modified by environmental and genetic factors that increase the risk of stillbirth, SIDS, and in surviving children, fetal alcohol spectrum disorders. METHODS: The results provided are based on an interim assessment of 6004 women enrolled, out of the 12,000 projected, from the Northern Plains, US, and Cape Town, South Africa, areas known to be of high risk for maternal drinking during pregnancy. Research objectives, study design, and descriptive statistics, including consent, recruitment, and retention information, are provided. RESULTS: Overall visit compliance is 87%, and includes prenatal, delivery/newborn, and postnatal contacts through 1 year post-delivery. Pregnancy outcome ascertainment is 98% prior to medical chart review; less than 2% of women withdraw. Consent for the use of DNA and placental tissue exceed 94%, and consent to participate in the autopsy portion of the study is 71%. CONCLUSIONS: The Safe Passage Study is the first multi-site study of SIDS and stillbirth to integrate prospectively collected exposure information with multidisciplinary biological information in the same maternal and fetal/infant dyad using a common protocol. Essential components of the study design and its success are close ties to the community and rigorous systems and processes to ensure compliance with the study protocol and procedures.

A study of impact of climate change on the U.S. stock market as exemplified by the NASDAQ 100 index constituents.

This paper employs an innovative event study methodology to demonstrate the impact of climate change on the NASDAQ index from the unique perspective of extreme weather events. This is achieved through the application of the event study methodology to a total of 526 biological, climatic, geological, hydrological, and meteorological disasters of climate change occurring in the U.S. during the period of 2000-2019. The results of the study demonstrate that: ① it can be generally observed that the five dimensions of climate change have a significant impact on stock returns. ② Empirical evidence indicates that the impact of different climate change dimensions on the return rate of stocks from NASDAQ stocks varies. In contrast, the biological and hydrological dimensions have a significantly negative impact on the return rate of stocks from the NASDAQ index, while the climate dimension has a significantly positive impact on the return rate of stocks from the NASDAQ index. ③ From the perspective of time, the impact of the five dimensions of climate change on the stock yield exhibits certain non-linear characteristics. This can be observed in the phenomenon of shock reversal, which occurs before and after the event.

Is intravenous magnesium sulphate a suitable adjuvant in postoperative pain management? - A critical and systematic review of methodology in randomized controlled trials.

A growing worldwide focus on opioid-free anaesthesia entails multimodal analgesic strategies involving non-opioids such as magnesium sulphate (MgSO4). Several systematic reviews have concluded there is beneficial analgesic effect of MgSO4 administration but do not take considerable heterogeneity among the studies into consideration. Medical literature published until June 2021 was searched in PubMed/Medline, Embase, Central and Web of Science: The final search yielded a total of 5,672 articles. We included only randomised controlled trials assessing the effect of intravenous MgSO4 on opioid consumption and acute postoperative pain when compared to either placebo or standardized analgesic treatment. The primary aim was to compare the homogeneity of essential variables and confounders. A post-hoc meta-analysis demonstrated a reduction in both postoperative morphine consumption (-6.12 mg) and pain score (-12.32 VAS points) in favour of the MgSO4-groups. Data for meta-analysis was missing from 19 studies (45%) on morphine consumption and 29 studies (69%) for pain score, the majority of which reports no effect for either morphine consumption or pain score. The calculated heterogeneity among the included studies was considerable for both outcomes; I 2=91% for morphine consumption and I 2=96% for pain score. Although we found a per se reduction in opioid consumption and pain score, methodological heterogeneity and clinical shortcomings of pre-, intra-, and post anaesthetic data precludes conclusions on clinical importance of intraoperative intravenous MgSO4. In addition, the reduction is likely less than what can be gained from using standardized analgesic treatment.

Medicaid prevalence and opioid use disorder treatment access disparities.

OBJECTIVE: To examine how variation in the size of the local Medicaid population moderates Medicaid-to-private treatment access differentials for women with opioid use disorder (OUD). DATA SOURCES: County-level information on total Medicaid enrollment combined with randomized field experiment data from 10 diverse states that used a simulated patient (audit) methodology to examine buprenorphine providers' appointment granting behavior. STUDY DESIGN: We used multiple regression modeling approaches to capture the moderating influence of Medicaid prevalence on differences in the likelihood of receiving an insurance-covered appointment between Medicaid and privately insured female patients. DATA EXTRACTION: Completed calls to buprenorphine treatment providers. PRINCIPAL FINDINGS: We find a 0.37 percentage point (p value <0.01) narrowing of the Medicaid-to-private access gap with each one percentage point increase in the local insured population on Medicaid. There is effectively no difference in the likelihood of being granted an insurance-covered appointment across the two payer groups in the top tercile of Medicaid penetration. CONCLUSIONS: When Medicaid is a common source of insurance within the local population, buprenorphine providers are much less likely to discriminate between Medicaid and privately insured prospective patients. Efforts to enhance equitable access across patient groups are perhaps best targeted where Medicaid prevalence is lower.

Dividend announcement effect analysis before and during the COVID-19 pandemic in the Indonesia Stock Exchange.

The emergence of the SARS-CoV-2 or COVID-19 pandemic has become a challenge for the global society, including the investors in the capital market, due to the uncertainty it has caused. In relation to the phenomenon, this research aimed to examine the impact of COVID-19 pandemic on the dividend announcement effect in Indonesia Stock Exchange by comparing the market volatility around the dividend announcement date of the selected stocks in 2019 and 2020. Implication of dividend increase and decrease as well as stock-risk profiling is also added for further learning. This research used event study methodology as a tool to analyze the data of the 23 sample companies taken from the LQ45 index. The period of analysis is ranged from 10 days before the dividend announcement to 10 days after the dividend announcement date. The study discovered that in 2019, the capital market presented a weak response toward the event, indicated by the inexistence of abnormal return. Moreover, in 2020, the dividend announcement effect caused negative insignificant abnormal returns and the number of companies with low volatility increased, which implies that the stock market is more pessimistic during the pandemic period. Even when the dividend amount increased from the previous period, the market still shows a negative reaction to it in 2020.

Action for Action: Mad COVID-19, Falling Markets and Rising Volatility of SAARC Region.

The Southern Region has reported a large number of contagious pandemic outbreaks. These epidemics brought threats to human health and resulted in serious economic losses. The COVID-19 is a global virus and has weakened the global financial markets with significant effect on stock returns and market volatilities. The study obtained a dataset about the financial market structure of South Asian Association for Regional Cooperation (SAARC) Countries. The purpose of the study is to determine the effect of 2019-nCov on stock market performance of SAARC member states. The study considered indexes of the National Stock Exchanges of each country and applied an event study approach for estimating the impact of Mad COVID-19 on the stock returns and market volatilities with an event window of 25 days of severe pandemic hits. The CAR approach proved the declining effect of Mad COVID-19 on the stock returns of SAARC countries. Asymmetric GJR-GARCH Model estimated the changeable volatility and proved the increase in volatility with COVID-19 as a negative shock. SAARC Region significantly reacts to Mad COVID-19 with falling markets and rising volatility.

German Health Update (GEDA 2019/2020-EHIS) - Background and methodology.

Between April 2019 and September 2020, 23,001 people aged 15 or over responded to questions about their health and living conditions for the German Health Update (GEDA 2019/2020-EHIS). The results are representative of the German resident population aged 15 or above. The response rate was 21.6%. The study used a questionnaire based on the third wave of the European Health Interview Survey (EHIS), which was carried out in all EU member states. EHIS consists of four modules on health status, health care provision, health determinants, and socioeconomic variables. The data are collected in a harmonised manner and therefore have a high degree of international comparability. They constitute an important source of information for European health policy and health reporting and are made available by the Statistical Office of the European Union (Eurostat). They also form the basis of the Federal Health Reporting undertaken in Germany. Data collection began in April 2019, just under a year before the beginning of the SARS-CoV-2 pandemic, and continued into its initial phase, as of March 2020. As such, data from the current GEDA wave can also be used to conduct research into the health impact of the SARS-CoV-2 pandemic.

The development of an elearning program on the response and recognition of the deteriorating patient using self-study methodology.

eLearning may be part of the solution to manage the ongoing training needs of nurses in Australian hospitals. A focus on addressing a knowledge gap in the recognition of and response to the deteriorating patient provided an opportunity to develop an eLearning program. Human factors education was incorporated as an innovative key feature in the eLearning program. A self-study methodological approach was applied to simultaneously research the development process and to integrate an evaluation of the resulting eLearning program. Critical friends were consulted during the planning and development of the eLearning program to ensure that the final program was engaging while also being successful in supporting learning. The resulting eLearning program was evaluated with a cohort of nurses who participated in pre and post test questionnaires and focus group discussions. Nurses reported that the inclusion of a realistic, interactive case study game as a learning device was valuable and resulted in self reflection about experiences in managing deteriorating patients. These findings suggest that eLearning programs can be successful in increasing nurses' confidence in managing the deteriorating patient, reading the track and trigger charts, applying human factors education, and may result in improved in patient outcomes.

Examining the Disconnect Between Communities of Practice Learning Theory and Educational Practices in the PharmD Program in Qatar.

Objective. To examine the Qatar University Doctor of Pharmacy (PharmD) program for evidence of incorporation of communities of practice (CoP) learning theory. Methods. A developed CoP framework was used as a theoretical instrument to analyze the evidence of CoP theory in QU PharmD program, utilizing a case study research approach. Results. The research suggests that the evidence of the CoP framework in the PharmD program falls into three categories. The first category represents elements of CoP that were fully evident, such as knowledge recontextualization, social and professional acceptance, and effective assessment measures. The second category represents elements that were partially evident, such as the formation of a co-development team, informal learning, mentoring strategies, and preceptors' orientation to assessment. The third category represents elements that were not evident, such as collaboration between faculty and preceptors and ensuring the reliability and validity of assessment tools. In cases where elements of CoP were implemented, this was an implicit rather than explicit application of CoP theory. Therefore, it was theorized that the disconnect between CoP learning theory and educational practices is at the "implicit disconnect" level. Conclusion. This research indicates that the CoP framework facilitated the identification of areas for future quality improvement and suggests that the theoretical CoP framework could be used by other programs to identify areas for improvements. We theorize that a full and explicit implementation of learning theory into educational practices is crucial, which calls for the collaboration of academic, practice, accreditation, and governmental sectors in pharmacy educational reform initiatives.

Determining an Appropriate Outcome Measure in Neurosurgical Research: Investigating Meaningful, Valid, and Practical Metrics.

Given the rapidly evolving pace of research and technology in the neurosurgical field, it is critical to consider the parameters of valid, practical, and meaningful study outcome measures. Here we review fundamental aspects of selecting outcome measures in the context of neurosurgical research. Exemplifying work in meningiomas and high-grade gliomas, we delineate a proposed framework for identifying an appropriate outcome measure. Four fundamental components of an outcome measure are defined and characterized: understanding characteristics of a good outcome measure; developing a research question to address an outcome measure; defining the outcome measure, and considering limitations of an outcome measure. This four-part framework enhances and promotes the methodology for determining if an outcome measure is valid, practical, and ultimately meaningful.

European Health Interview Survey (EHIS) 2 - Background and study methodology.

The scientific assessment of health issues, the design and further development of political guidelines as well as the targeted planning of measures in the European Union (EU) require data on population health. For this reason, all EU Member States regularly collect data on the health status, provision of healthcare, health determinants and socioeconomic situation of their respective populations in the European Health Interview Survey (EHIS). Participants are at least 15 years old and live in private households. The second wave of EHIS (EHIS 2) was conducted between 2013 and 2015. For EHIS 2, each EU Member State drew a nationally representative population sample from population registers, censuses, dwelling registers or other statistical or administrative sources. Data collection modes within individual EU Member States were used, according to nationally established methods, including the use of mixed-mode surveys. Across all EU Member States, data collection took an average of eight months to complete. Member States made considerable efforts to achieve the highest possible response rates. The harmonised EHIS data collected are highly comparable and constitute an important information base for European health policy and health reporting.

A Systematic Review of Technology-Driven Methodologies for Estimation of Energy Intake.

Accurate measurement of energy intake (EI) is important for estimation of energy balance, and, correspondingly, body weight dynamics. Traditional measurements of EI rely on self-report, which may be inaccurate and underestimate EI. The imperfections in traditional methodologies such as 24-hour dietary recall, dietary record, and food frequency questionnaire stipulate development of technology-driven methods that rely on wearable sensors and imaging devices to achieve an objective and accurate assessment of EI. The aim of this research was to systematically review and examine peer-reviewed papers that cover the estimation of EI in humans, with the focus on emerging technology-driven methodologies. Five major electronic databases were searched for articles published from January 2005 to August 2017: Pubmed, Science Direct, IEEE Xplore, ACM library, and Google Scholar. Twenty-six eligible studies were retrieved that met the inclusion criteria. The review identified that while the current methods of estimating EI show promise, accurate estimation of EI in free-living individuals presents many challenges and opportunities. The most accurate result identified for EI (kcal) estimation had an average accuracy of 94%. However, collectively, the results were obtained from a limited number of food items (i.e., 19), small sample sizes (i.e., 45 meal images), and primarily controlled conditions. Therefore, new methods that accurately estimate EI over long time periods in free-living conditions are needed.

Quality-of-Life Assessment and Reporting in Prostate Cancer: Systematic Review of Phase 3 Trials Testing Anticancer Drugs Published Between 2012 and 2018.

Quality of life (QoL) is not included among the end points in many studies, and QoL results are underreported in many phase 3 oncology trials. We performed a systematic review to describe QoL prevalence and heterogeneity in QoL reporting in recently published prostate cancer phase 3 trials. A PubMed search was performed to identify primary publications of randomized phase 3 trials testing anticancer drugs in prostate cancer, issued between 2012 and 2018. We analyzed QoL inclusion among end points, presence of QoL results, and methodology of QoL analysis. Seventy-two publications were identified (15 early-stage, 20 advanced hormone-sensitive, and 37 castration-resistant prostate cancer [CRPC]). QoL was not listed among study end points in 23 studies (31.9%) (40.0% early stage, 40.0% advanced hormone sensitive, and 24.3% CRPC). QoL results were absent in 15 (30.6%) of 49 primary publications of trials that included QoL among end points. Overall, as a result of absent end point or unpublished results, QoL data were lacking in 38 (52.8%) primary publications (53.3% early stage, 55.0% in advanced hormone sensitive, and 51.4% in CRPC). The most commonly used QoL tools were Functional Assessment of Cancer Therapy-Prostate (FACT-P) (21, 53.8%) and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) (14, 35.9%); most common methods of analysis were mean changes or mean scores (28, 71.8%), time to deterioration (14, 35.9%), and proportion of patients with response (10, 25.6%). In conclusion, QoL data are lacking in a not negligible proportion of recently published phase 3 trials in prostate cancer, although the presence of QoL results is better in positive trials, especially in CRPC. The methodology of QoL analysis is heterogeneous for type of instruments, analysis, and presentation of results.