Technological Advancements in E-Commerce and Customer Relationship Management

In the recent past, for any business to be successful it is essential to acquire, serve and retain customers. The number of users of commercial purposes has led to increased demand for E-Commerce in the global market. There has been a remarkable progress in E-Commerce due to globalization and technological advancements which led to sustainable quantum of business at affordable price. Technologies used in E-Commerce includes: Augmented Reality: The Future of E-Commerce Stores, Artificial Intelligence: Improving E-Commerce services and Optimizing Customer Experience, Voice Search, Chatbot, Blockchain Technology: A Faster, Safer and More Transparent used as E-Commerce Payment System, Security and Supply chain management. This paper focuses on the evolution of E-Commerce, development of CRM initiatives, leading E-Commerce companies, technological advancement in E-Commerce: E-Commerce platforms and service providers; software and tools used in E-Commerce and recent trends in E-Commerce and CRM in streamlining the CRM process thereby minimizing the cost of CRM

Novel Sars-CoV-2 Variants & Therapeutic Effects

COVID-19 is a severe respiratory infection caused by coronavirus 2. (SARS-CoV-2). Even while SARS-CoV-2 predominantly affects the respiratory system, it can cause problems for other important organs as well. Multiple novel variations of concern have appeared since the beginning of the SARS-CoV-2 pandemic, including the Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), and Omicron (B.1.1.529), all of which are linked to increased transmissibility and severity. Both the newly discovered variants and the most recent innovative treatments for the treatment of COVID-19 are discussed in this work. Care for people with this disease is discussed, with an emphasis on the need of clinical interprofessional teams, government health organisations, and community involvement

Anti mullerian hormone and antral follicle count for prediction of ovarian reserve in female infertile patients: A cross sectional study

Ovarian reserve (OR)determines the quantity and quality of follicles present in the ovary. It is independent of menstrual cycle in women of reproductive age. The chances of conceiving in infertile women can be predicted by understanding and determining the OR. The aim of the study was to assess and determine whether Anti-Mullerian Hormone (AMH) with Antral Follicle Count (AFC) or AMH alone is a better predictor of ovarian reserve in female infertile patients. Methods: In this prospective, cross-sectional study, a total of 60 patients were measured for AMH levels of which 30 patients was assessed along with AFC. The demographic details were collected and 5ml of venous blood samples were taken on day 2 of menstrual cycle. Serum was separated and stored at -20oC. Serum AMH levels were analysed using enzyme-linked immune sorbent assay (ELISA) whereas Antral Follicle Count with ultrasonography. Finally, 54 patients completed the analysis with the mean age of 26.32±3.95 years and body mass index of 24.09±4.62. The average AMH levels and AFC were found to be 2.49±4.05 ng/ml and 14.92±8.69 follicles respectively. AMH showed negative correlation with both FSH and LH and no correlation with estradiol