Does organizational justice facet matters in knowledge hiding?

To address the gap of extant literature and to assess employees' in-role and innovative performance, a model was developed and tested through organizational justice facets- procedural, distributive, and interactional justice with knowledge hiding facets, well-being facets and professional commitment. The purpose of the present research is to inspect the role of justice facets in shaping knowledge hiding behavior through optimistic role of well-being toward employee performance with the remedial role of professional commitment under the shadow of Psychological Ownership Knowledge Theory (POKT) and Social Exchange Theory (SET). For that persistence, present research acknowledged the practices and connotations of knowledge hiding because limited research is prevailed on the contrasting influence of knowledge hiding practice. Data were collected through random sampling via dual-wave survey questionnaire from 613 employees working in Kuala Terengganu, Malaysia. Structural Equation Modeling was carried out through AMOS (24.0) and SPSS (25.0). Findings reveal that the association with in-role and innovative performance with justice is positively associated through well-being, and the relationship between knowledge hiding and job performance was also positively associated. This study argued that knowledge sharing reshapes knowledge hiding behavior that plays a negative role in organizational performance. This study suggested the notable contribution in the direction of organizational context of developing realm settings by revealing the predecessor character of knowledge hiding and endorses the organizational justice to persuade top management for in-role and innovative performance enhancement.

Does green innovation reduce environmental degradation? A panel threshold analysis for BRICS countries.

In this present age, innovation has become inextricably tied to both long-term economic growth and environmentally sound development. In this context, the impact that environmentally focused technological advancements or innovations have on environmental quality is of the utmost importance. Therefore, the main goal of the present study is to determine how Green innovation (GI) affects environmental degradation in the BRICS countries from 1992 to 2021. The ecological footprint (EFT) is an indicator used in the study to measure environmental degradation. The study divides the components that contribute to the explanation into two categories: the GI threshold variable and the independent variables RE, GDP, and population (POP). Additionally, this study investigates the indirect impact of RE, GDP, and POP through the threshold effect of GI. The stochastic impacts of the explanatory factors are explored using sophisticated panel data estimation methods and a panel threshold model. According to the findings of the study, an improvement in environmental quality occurs when the threshold level of GI is achieved, which indicates that innovation in the form of a lower EFT is responsible for the improvement. In light of the findings, recommendations for policymakers and stakeholders in BRICS countries are to promote RE and drive GI.

Management of antithrombotic therapy in patients at high bleeding risk after percutaneous coronary intervention for acute coronary syndromes: a case report.

Background: Choosing antithrombotic therapy for patients at high bleeding risk, particularly those requiring long-term anticoagulant therapy, who have acute coronary syndromes (ACS) and/or undergoing percutaneous coronary intervention (PCI) is becoming increasingly complex. Case summary: A 78-year-old women was hospitalized with chest pain and a diagnosis of non-ST-elevation ACS was made. It was decided that the patient should undergo coronary angiogram with a view for angioplasty. Subsequently, she underwent successful PCI to the left anterior descending artery. Shortly after PCI, she was noted to be in atrial fibrillation. Furthermore, she had per rectal bleeding and acute kidney injury, which were managed conservatively. Aspirin and ticagrelor were stopped and she was discharged on dual antithrombotic therapy with clopidogrel and apixaban. Discussion: Available evidence, driven mainly from expert consensus documents, advocates a case-by-case comprehensive evaluation that integrates patient- and procedure-related factors to assess patients for thrombotic and bleeding tendencies to identify those who may gain most net clinical benefit of antithrombotic combination therapy. In general, if thrombotic drivers prevail, an augmented antithrombotic regime with a view for a longer duration should be planned, and if bleeding drivers prevail, a de-escalated regime with a view for a shorter duration should be sought.

Comparative analysis of neutrophil to lymphocyte ratio and derived neutrophil to lymphocyte ratio with respect to outcomes of in-hospital coronavirus disease 2019 patients: A retrospective study.

Introduction and objectives: In patients with coronavirus disease 2019 (COVID-19), several abnormal hematological biomarkers have been reported. The current study aimed to find out the association of neutrophil to lymphocyte ratio (NLR) and derived NLR (dNLR) with COVID-19. The objective was to compare the accuracy of both of these markers in predicting the severity of the disease. Materials and methods: The study was conducted in a single-center having patients with COVID-19 with a considerable hospital stay. NLR is easily calculated by dividing the absolute neutrophil count (ANC) with the absolute lymphocyte count (ALC) {ANC/ALC}, while dNLR is calculated by ANC divided by total leukocyte count minus ANC {ANC/(WBC-ANC)}. Medians and interquartile ranges (IQR) were represented by box plots. Multivariable logistic regression was performed obtaining an odds ratio (OR), 95% CI, and further adjusted to discover the independent predictors and risk factors associated with elevated NLR and dNLR. Results: A total of 1,000 patients with COVID-19 were included. The baseline NLR and dNLR were 5.00 (2.91-10.46) and 4.00 (2.33-6.14), respectively. A cut-off value of 4.23 for NLR and 2.63 for dNLR were set by receiver operating characteristic (ROC) analysis. Significant associations of NLR were obtained by binary logistic regression for dependent outcome variables as ICU stay (p < 0.001), death (p < 0.001), and invasive ventilation (p < 0.001) while that of dNLR with ICU stay (p = 0.002), death (p < 0.001), and invasive ventilation (p = 0.002) on multivariate analysis when adjusted for age, gender, and a wave of pandemics. Moreover, the indices were found correlating with other inflammatory markers such as C-reactive protein (CRP), D-dimer, and procalcitonin (PCT). Conclusion: Both markers are equally reliable and sensitive for predicting in-hospital outcomes of patients with COVID-19. Early detection and predictive analysis of these markers can allow physicians to risk assessment and prompt management of these patients.

Restaurant Diners' Switching Behavior During the COVID-19 Pandemic: Protection Motivation Theory.

The unsettling fear of COVID-19 infections has caused a new trend in consumer behavior in the food and beverage industry. The unprecedented COVID-19 pandemic has shifted consumers' preferences from eat-in to online delivery. This research aims to measure the impact of consumers' motivation to protect themselves from contracting COVID-19, which explains why people switch from eat-in to online food delivery. We adopted the theory of protection motivation (PMT) to explain consumer switching behavior during the COVID-19 pandemic. The present study investigated the mediating effect of switching intention on the relationship between vulnerability, altruistic fear, anticipated regret, and switching behavior. Simultaneously, we examined the role of brand awareness as a moderator of behavioral choices of consumers switching from eat-in to online delivery. We collected data from 681 eatery consumers in Kuala Terengganu, Malaysia, using scenario-based survey questionnaires (327 eat-in respondents and 354 online delivery respondents). Then, the data were analyzed using structural equation modeling (SEM). This new generation analysis was conducted using the analysis of moment structure (AMOS) (v.24.0) and the statistical package for social science (SPSS-version 25.0). The results indicated that consumer vulnerability, altruistic fear, and anticipated regret of COVID-19 increased consumers' propensity to shift from eat-in to online food delivery. Allegedly, consumer behavioral control and intention of switching toward online delivery were pointedly affected by switching behavior. The results indicated that consumer vulnerability, altruistic fear, and anticipated regret of COVID-19 increased the shifting of restaurant dine-in patterns and made the intention to switch to online delivery. Consumers' alleged behavioral control and their intention of switching toward online delivery were pointedly affected by switching behavior. We also found that brand awareness moderately affects switching behavior toward restaurant settings. The present research contributes to developing the consumer behavior model of switching from eat-in to online delivery. This study also provides eatery customers and the business community with a safer and healthier proposition of shifting to online food delivery during the pandemic.

Restructuring Interlinked With Employer and Corporate Branding Amidst COVID-19: Embodying Crowdsourcing.

The COVID-19 pandemic is an unprecedented time in history. Surrounding this pandemic are many enormous uncertainties across the globe. Severe consequences have assessed for the incomes of almost 84% of employers and 68% of self-employed who are working and living in countries that are or have went through a phase of closing workplaces. Similarly, the global rate of unemployment is also expected to be increased in the coming years as 54% of employers worldwide are running their businesses in the hardest-hit sectors. All of these clearly show the uneven impact of the Coronavirus crisis (COVID-19) which will remarkably compound already present inequalities, difficulties, and vulnerabilities. The economic ramifications for 186 countries under the crunch of the COVID-19 pandemic is also considered tremendous for Pakistan. The core aim of this research was to test a new conceptual framework depicting the ramifications of restructuring processes carried out by management for their organizations amidst the COVID-19 pandemic on an Institute's reputation as an employer brand. It also investigates the impact of perceived restructuring on a corporate brand promise made by the university or institute from the viewpoints of other key stakeholders and potential job seekers. The current study had proposed four hypotheses and according to the results of Structural Equation Modeling, the direct hypothesis based upon the relationship between restructuring and employer branding has been rejected. This study shows that restructuring and employer branding has a negative and insignificant effect on each other. The second direct hypothesis of the study that measures the effect of restructuring on corporate branding has been accepted. A corporate brand is a kind of a hub and it considers how an institute treats and deals with all of its stakeholders. It is different from employer brand as the perceptions of employees were the main focus. So, according to the results restructuring did not cause massive damage to the overall outlook of the institute. Furthermore, for the purpose of mediation analysis, the maximum likelihood method by bootstrapping was adopted to test the indirect hypotheses of the study. Crowdsourcing was introduced as a mediator in this study with restructuring, employer, and corporate brand all together in one framework, which is the novel aspect of this study. There are two indirect hypotheses and according to the results both of them did not show any insignificant results. Firstly, the study analyzed mediation among crowdsourcing, restructuring, and employer branding which was fully accepted as the results showed full mediation between these constructs. Secondly, the study analyzed mediation among crowdsourcing, restructuring, and corporate branding which was partially accepted as results showed partial mediation between these constructs.

Interventional radiology in low- and middle-income countries.

With advancements in imaging techniques, interventional radiology (IR) has found an increased utility in multiple diseases such as ischemic stroke, tissue biopsies, oncology, trauma, etc. The benefit has been twofold in being minimally invasive and improved outcomes. IR in low- and middle-income countries (LMICs) is still in its nascent phase. The many hurdles include poorly structured post-graduate training, cost of procedures, and lack of awareness among referring physicians. There is a significant need to increase the trained specialists' awareness among the medical community and rationalize the cost of procedures in LMICs with careful consideration, planning, and international economic and technical assistance.

Linking electricity demand and economic growth in China: evidence from wavelet analysis.

The study empirically examines the association between electricity demand and economic growth in China in a time-frequency framework. Wavelet coherence analysis and phase difference methods are applied to find the co-movement and causality between variables using monthly data for 1999 to 2017 time period. The results of the wavelet power spectrum show that both series have high fluctuations at high frequencies. The findings of wavelet coherence reveal co-movements between electricity demand and economic growth at different frequency levels. However, this association is stronger at low-frequency levels. Evidence from the phase difference indicates that electricity is causing economic growth with a positive sign. The results of wavelet-based correlation also show a high correlation between these two variables. For robustness analysis, linear and nonlinear causality tests are applied to find causality between variables over time. Both linear and nonlinear causality tests reveal bidirectional causality between variables. It corroborates the result of wavelet causality that both variables cause each other at different frequency levels.

Percutaneous coronary intervention with drug-eluting stent versus coronary artery bypass grafting: A meta-analysis of patients with left main coronary artery disease.

BACKGROUND: The relative efficacy and safety of percutaneous coronary intervention (PCI) with drug-eluting stents (DES), in comparison to coronary artery bypass grafting (CABG) for left main coronary artery disease (LMCAD) remains controversial. METHODS: We performed a meta-analysis of randomised studies comparing patients with LMCAD treated with PCI with DES versus those treated with CABG, with respect to clinical outcomes at 1, 3 and 5years. A secondary meta-analysis was performed according to low (<32), or high (≥33) SYNTAX score. RESULTS: Five studies comprising 4595 patients were included. There was no significant difference in all-cause death at all time points or when stratified with respect to SYNTAX score. The need for repeat revascularization was significantly higher with PCI at all time-points, and regardless of SYNTAX score. There was significant association between need for repeat revascularization with PCI and diabetics (p=0.04). At 5years, non-fatal MI was higher with PCI owing to increased non-procedural events (OR 3.00; CI 1.45-6.21; p=0.003). CABG showed higher rate of stroke at 1year (OR 0.21; CI 0.07-0.63; p=0.005). There was no difference in non-fatal MI or stroke at other time points, nor according to SYNTAX score. CONCLUSIONS: PCI with DES or CABG are equivalent strategies for LMCAD up to 5years with respect to death, regardless of SYNTAX score. PCI increases the rate of non-procedural MI at 5years. CABG avoids the need for repeat revascularization, especially in diabetics, but this benefit is offset by higher rate of stroke in the first year of follow up.

Correlation of MCQ and SEQ scores in written undergraduate ophthalmology assessment.

OBJECTIVE: To determine the psychometric worth of Multiple-Choice Questions (MCQs) and Short-Essay Questions (SEQs) used in internal summative assessment of undergraduate ophthalmology annual send-up examination and to ascertain the quality of items using subjective measures. STUDY DESIGN: Correlational analytical study. PLACE AND DURATION OF STUDY: Fatima Jinnah Medical College, Lahore, from January to March 2012. METHODOLOGY: Fourth year MBBS students appearing in their written send-up annual examination in ophthalmology. The MCQ and SEQ scores were correlated for validity and reliability. Construct validity was estimated (Pearson correlation coefficient). MCQ's split-half reliability (Spearman correlation coefficient) and SEQ's inter-rater reliability (Pearson correlation coefficient) were also estimated. RESULTS: Moderate correlation was seen between MCQ and SEQ scores (r=0.5, p < 0.01). Split-half reliability of MCQs had moderate correlation (r=0.4, p < 0.01) while inter-rater reliability of SEQs scores showed high correlation (r=0.9, p < 0.01). Most of the MCQs (55%) and SEQ's (90%) were at recall level of Bloom's taxonomy. MCQs (30%) attained a higher level (interpretation) as compared to SEQ's (10%). None of the MCQ and SEQ attained problem solving level. CONCLUSION: Using variety of tools for assessment improves both the validity and reliability enabling examiners to draw fair conclusions about a student's ability. Validity and reliability can be further improved by arranging training opportunities for item writers to achieve accurate transfer of hypothetical construct in the form of an item. This is crucial since essential and important learning outcomes can only be assessed with valid and reliable tools.