Greening for greater good: investigating the critical factors for customer satisfaction with sustainable e-banking.

This study investigated the impact of efficiency, reliability, responsiveness, safety, and security on customer satisfaction with sustainable e-banking. The study used a quantitative methodology, with data collected from customers of commercial banks in South Punjab, Pakistan. A Likert scale questionnaire was used to collect cross-sectional data. A sample of 350 was analyzed using the Statistical Package for the Social Sciences (SPSS) for testing descriptive statistics, correlation analysis, and regression results. The study's results revealed that efficiency, reliability, responsiveness, safety, and security significantly impacted customer satisfaction with e-banking services. Efficiency and reliability were the most crucial factors influencing customer satisfaction, followed by safety, security, and responsiveness. The research findings have important implications for commercial banks, as they highlight the critical role of these factors in the development of sustainable e-banking practices. Overall, the study provides valuable insights for commercial banks seeking to improve their e-banking services and ensure customer satisfaction. Commercial banks can enhance their competitiveness and achieve sustainable growth in the highly competitive e-banking sector by prioritizing efficiency, reliability, responsiveness, and safety and security.

Is Moderating effect of Uncertain Economic Policies helpful for a Sustainable Environment in Emerging Economies?

The basic priority to neutralize carbon emissions (CE) is to achieve the sustainable development goal of climate action. In this regard, the role of renewable energy (RE) is widely debated. Transition to RE and environment-related innovation in technologies (ERIT) is a need of the hour. However, the challenge of uncertain economic policies in the transition process is interesting to study. Therefore, the present study intends to add a value to the literature by re-examining the interactive effect of economic policy uncertainty (EPU) in RE and ERIT and the transition process towards carbon neutrality. The second-generation econometric methodology is applied to empirically test the proposed interactive linkage of EPU, RE, ERIT, and CE. Findings reported the negative role of EPU in adopting RE and ERIT in seven emerging economies: Brazil, China, India, Indonesia, Mexico, Russia, and Turkey. However, the ERIT and RE are found to be supportive of neutralizing the CE. Emerging seven (E7) countries are suggested to be consistent in their economic policies to nurture the transition process toward a sustainable environment.

Spectrum of High Resolution Computed tomography chest findings in PCR positive COVID-19 patients according to duration of infection and CT severity score assessment.

OBJECTIVE: To evaluate the spectrum of HRCT findings of COVID-19 in RT-PCR positive patients according to duration of infection and severity of disease. METHODS: This retrospective study was conducted at Radiology department of Lahore General Hospital, Lahore from May to July 2020. Total 40 COVID-19 patients were reviewed for clinical features, HRCT chest findings based on time from symptom onset and CT conduction. Chi-square and fissure exact test were used for measuring association with severity of COVID-19, p value ≤0.05 was reported significant. Mean CT scores were calculated. ROC curve analysis showed threshold values of CT-SS for severe disease. RESULTS: Of total 40 patients with age ranged from 22-83 years, 22(55%) were males and 18(45%) females. The hallmark of COVID-19 was combined GGO and consolidation, GGO alone and consolidation alone in bilateral, sub pleural and posterior distribution. Early stage had normal CT or GGO alone, intermediate and late stage had both GGO and consolidation. Septal lines/bands and crazy paving pattern were prevalent in late stage. Clinically, 24 (60%) were in severe group and 16(40%) in mild group. Severity of COVID-19 was associated with GGO alone (p=0.05), GGO and consolidation (p=0.01), crazy paving (p=0.01) and lung scores (p≤0.05). The threshold values of CT-SS for identifying severe disease by two radiologists were 18.50 and 20.50. CONCLUSION: HRCT manifestations along with CT-SS aids in predicting disease severity. Staging according to duration of infection is effective in understanding variation in pattern of chest findings in coronavirus disease.

Comparison of HRCT Chest and RT-PCR in Diagnosis of COVID-19.

OBJECTIVE: To compare the diagnostic accuracies of HRCT chest and RT-PCR results in diagnosis of coronavirus disease (COVID-19) in a tertiary care hospital in Lahore. STUDY DESIGN: Descriptive study. PLACE AND DURATION OF STUDY: Department of Radiology and Central Research Lab, Lahore General Hospital, Lahore, from April to July, 2020. METHODOLOGY: Patients aged 18 to 83 years, who had clinically suspected symptoms of COVID-19 (fever, cough/sore throat or shortness of breath) presenting in outpatient or emergency department, were included. These patients had their HRCT chest conducted from Radiology Department and RT-PCR performed at Central Research Lab. These data were retrieved from electronic system of PACS. Results were categorised into positive and negative findings for COVID-19. Diagnostic accuracies of HRCT chest and first RT-PCR along with 95% confidence interval were calculated. RESULTS: A total of 94 patients, 55 (58.5%) males and 39 (41.5%) were females. Out of them, 83% patients had positive HRCT chest findings of COVID-19, 17% had negative HRCT chest findings; while 40.4% had positive and 59.6% had negative first PCR. Among the repeat second PCR, 19.6% had negative, 1.8% had positive PCR results; while 78.6% patients didn't undergo repeat PCR. The sensitivity, specificity, NPV, PPV and accuracy of HRCT chest was 92%, 23%, 81%, 45%, and 51%; while of first RT-PCR was 45%, 81%, 23%, 92% and 51%, respectively. CONCLUSION: The sensitivity of HRCT chest is higher (92%) as compared to first RT-PCR (45%). Key Words: COVID-19, RT-PCR, HRCT chest, Sensitivity, Specificity.

Comparison of HRCT Chest and RT-PCR in Diagnosis of COVID-19.

OBJECTIVE: To compare the diagnostic accuracies of HRCT chest and RT-PCR results in diagnosis of coronavirus disease (COVID-19) in a tertiary care hospital in Lahore. STUDY DESIGN: Descriptive study. PLACE AND DURATION OF STUDY: Department of Radiology and Central Research Lab, Lahore General Hospital, Lahore, from April to July, 2020. METHODOLOGY: Patients aged 18 to 83 years, who had clinically suspected symptoms of COVID-19 (fever, cough/sore throat or shortness of breath) presenting in outpatient or emergency department, were included. These patients had their HRCT chest conducted from Radiology Department and RT-PCR performed at Central Research Lab. These data were retrieved from electronic system of PACS. Results were categorised into positive and negative findings for COVID-19. Diagnostic accuracies of HRCT chest and first RT-PCR along with 95% confidence interval were calculated. RESULTS: A total of 94 patients, 55 (58.5%) males and 39 (41.5%) were females. Out of them, 83% patients had positive HRCT chest findings of COVID-19, 17% had negative HRCT chest findings; while 40.4% had positive and 59.6% had negative first PCR. Among the repeat second PCR, 19.6% had negative, 1.8% had positive PCR results; while 78.6% patients didn't undergo repeat PCR. The sensitivity, specificity, NPV, PPV and accuracy of HRCT chest was 92%, 23%, 81%, 45%, and 51%; while of first RT-PCR was 45%, 81%, 23%, 92% and 51%, respectively. CONCLUSION: The sensitivity of HRCT chest is higher (92%) as compared to first RT-PCR (45%). Key Words: COVID-19, RT-PCR, HRCT chest, Sensitivity, Specificity.