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Aim/Purpose: The objective of the research was to study the relationship of seven independent factors: administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technical support on quality of e-learning in higher education during the COVID-19 pandemic. Further, the study analyzes the moderating effect(s) of gender and level of the course on the quality of e-learning in higher education during the COVID-19 pandemic. objective of the research was to study the relationship of seven independent factors: administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technical support on quality of e-learning in higher education during COVID-19 pandemic. Background: The COVID-19 pandemic situation has impacted the entire education system, especially universities, and brought a new phase in education "e-learning." The learning supported with electronic technology like online classes and portals to access the courses outside the classroom is known as e-learning. This study aimed to point out the variables influencing the quality of e-learning, such as administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technological support. Methodology: An inferential statistics cross-sectional study was conducted of the students of higher education institutions in India and the Kingdom of Saudi Arabia with a self-administered questionnaire to learn the students' perception of e-learning. All levels of undergraduate and postgraduate students took part in the study with a sample size of 784. Ultimately, this study used a Structural Equation Modelling (SEM) approach to find the positive relationship between the quality of e-learning and the seven independent variables and two moderating variables in the higher education sector. Contribution: The study aims to explore the quality of e-learning in higher education from the students' perspective. The study was analyzed based on the student's data collected from the higher educational institutions of India and Saudi Arabia. The study will support the top management and administrators of higher educational institutions in decision making. Findings: The findings revealed that there is a positive relationship between the set of variables and the quality of e-learning in the higher education sector. Also, there is a significant difference in the perception of the students between gender, level of the course, and quality of e-learning in the higher education sector during the COVID-19 pandemic. Recommendations for Practitioners: The results of the study can help top management and administrators of higher educational institutions to improve their actions. Higher educational institutions need to concentrate on the study outcomes related to administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technological support to enhance the quality of e-learning. The study revealed that there should be a difference in the procedure of providing e-learning based on the level of the course and gender of the students. Recommendation for Researchers: The results were examined and interpreted in detail, based on the perspective of the students, and concluded with a view for future research. The study will be beneficial for academic researchers from different countries with a different set of students and framework. Impact on Society: The study revealed that the positive results of the students' perspective on the quality of e-learning would help the policy-makers of the country in providing the learning process during the COVID-19 pandemic. Also, the result explored the importance of the quality aspects of e-learning for improvement. Future Research: There is a need for future studies to expose the quality of e-learning in higher education in the post-COVID-19 pandemic. Further researchers will bring the performance level of e-learning during the COVID-19 pandemic.

Background: Ethnopharmacological relevance: Derris brevipes (benth.) Baker is widely used as an anti-arthritic agent in traditional medicine. Aims and Objectives: This study evaluated the anti-inflammatory activity of ethanolic extract of D. brevipes (EEDB) leaves, a member of the Leguminosae family in vitro and ex vivo. Materials and Methods: The EEDB leaves of was screened for anti-inflammatory activities by protein denaturation analysis and proteinase inhibition analysis. Prednisolone was used as the standard. EEDB (at doses of 300 mg/kg and 600 mg/kg) was administered through the oral route. Ex vivo analysis was performed by estimating the expression of tumor necrosis factor-alpha (TNF-a) in collagen (chicken sternal collagen)-induced arthritis (CIA) in Sprague-Dawley rats using the reverse transcription polymerase chain reaction method. The data were analyzed using one-way analysis of variance, followed by Dunnet's multiple comparison tests. Results: Prednisolone (100 mcg/mL) and EEDB (600 mcg/mL) showed percentage inhibition of 80.32% and 80.04%, respectively, in protein denaturation assay. Similarly, prednisolone (600 mcg/mL) and EEDB (600 mcg/mL) showed 66.03% and 56.69% inhibition in the proteinase activity. Synovial tissue TNF-a levels showed a significant decrease in EEDB-treated groups and prednisolone-treated group compared to CIA control rats. Conclusion: From this study, it was concluded that the D. brevipes leaf extract possesses anti-inflammatory activity, which explains its beneficial role in rheumatoid arthritis. [ABSTRACT FROM AUTHOR]

Background: Derris brevipes is a common medicinal plant used in the traditional system of medicine as an anti-arthritic agent. Aims and Objectives: The present study was to evaluate the anti-arthritic activity of ethanolic extract of D. brevipes (EEDB) leaves, belonging to the family Leguminosae. Materials and Methods: The dried leaves were collected and extracted using 95% ethanol, and the extract was subjected to a preliminary phytochemical screening. In vivo activities were evaluated in collagen (chicken sternal collagen)-induced arthritis (CIA) in Sprague–Dawley rats. Prednisolone was used as the standard, and EEDB (at doses of 300 mg/kg and 600 mg/kg) was administered through the oral route. Body weight measurement, arthritic score, histological score, and radiology score assessments were carried out. Results: Preliminary phytochemical screening of leaf extract from D. brevipes showed the presence of components such as steroids, triterpenoids, and flavonoids. In vivo tests on CIA rats given the extract showed that it could lower the arthritic score, the paw volume, the radiological score, and the histological score. Conclusion: From this study, it is concluded that the D. brevipes leaf extract possesses antiarthritic activity. [ABSTRACT FROM AUTHOR]

Rubrocurcumin, well-known for its application in photometric determination of boron in various matrices, has attracted substantial attention due to its applications in biological and pharmacological fields. Here, geometrical optimization, diverse bonding features and potential energy surface scans were studied by use of density functional theory. Vibrational analysis of rubrocurcumin was done by Fourier transform infrared and Fourier transform Raman spectroscopies. The electronic density distribution of atoms in the molecule was analyzed by use of natural bond orbital analysis. Conceptual density functional theory-based local reactivity descriptors were used to understand the relationship between structure, stability, and chemical reactivity. [ABSTRACT FROM AUTHOR]