Over the last few decades, there has been a gradual deterioration in higher education in all three areas: the academic setting (both staff and students), as well as research and development output (including graduates). All colleges and universities are essentially focused on improving management decision-making and educating pupils. High-quality higher education can be obtained through a variety of methods. One method is to accurately forecast pupils’ achievement in their chosen educational context. There are numerous prediction models from which to pick. While it is unclear whether there are any markers that can predict whether a kid will be an academic genius, a dropout, or an average performer, the researcher reports student achievement. This article presents a metaheuristics and machine learning-based method for the classification and prediction of student performance. Firstly, features are selected using a relief algorithm. Machine learning classifiers such as BPNN, RF, and NB are used to classify student academic performance data. BPNN is having better accuracy for classification and prediction of student academic performance.

Background: Covid 19 lockdown measures were taken all of a sudden during the devastating second wave in India, when there was a considerable loss and suffering in the country. The coronavirus disease 2019 (COVID 19) pandemic has led to unprecedented hazards to mental well-being globally. Purpose: To assess the prevalence and evaluate risk factors of depression, insomnia or sleep disturbances and suicidal ideation among covid 19 positive patients admitted in covid wards with mild-to-moderate disease. Materials and Methods: A total of 635 hospitalised patients who were covid-19 positive were requested to fill an online quality of life pre-validated questionnaire comprising of 4 sections – the sociodemographic information section, health care assessment related to depression symptoms, insomnia assessment and assessment of suicidal ideation. The survey comprised of pre-validated questions on sociodemographics, knowledge of covid 19, fear of covid 19, insomnia, feeling of sadness, depression, feeling of rejection and suicidal ideation among the covid 19 positive inpatients in quarantine due to mild or moderate covid 19 disease. Results: The prevalence of depression and insomnia or sleep disturbances after being diagnosed as covid 19 positive and hospitalized was nearly 40% and 28.8%, respectively, among the inpatients. Depression was significantly observed in female group (p < 0.001), unmarried or separated individuals (p < 0.001), housewives (p < 0.001) and patients with comorbidities (p < 0.001). Insomnia was more likely to be present in elderly covid positive patients (p < 0.001) and separated or divorced group of participants (p < 0.001). The prevalence of suicidal ideation was 5% of the total covid 19 positive patients participated in this study, and it was significantly observed among separated or divorced patients, cancer patients, patients from suburban residence and among graduates (p < 0.001). Conclusion: Covid 19 is associated with major psychological impact among the patients suffering from thus warrants counselling.

To encourage industry discussion of cutting-edge blockchain applications, this chapter was written. This chapter provides an introduction to blockchain technology as well as details on how to secure transactions using technology and how the secure element works. It examines common implementation worries and provides use cases for current commercial or trial projects. The following paragraphs go over the concept of a blockchain, how bitcoin transactions operate, and how to finish a transaction. The network of Marco Polo will be highlighted. In this chapter, the authors show how to use blockchain and cloud technology with Marco Polo to remove corporate pain problems. The chapter goes on to give a full overview of blockchain, including its function, traits, and applications.

Background and Aim of Study: As anatomy subject is the basis of the MBBS curriculum, it’s clear understanding and knowledge is needed. Syllabus of anatomy is vast and also volatile, to summarise large amounts of facts and train students for acquisition of the skills, we believe that students learn by practice. Due to COVID-19 crisis on educational system online learning and assessment of students has become a preferable replacement of conventional in person teaching and learning. The aim of the study: to determine the perception of first year MBBS students on online self-assessment tool in anatomy, to evaluate their academic achievements during COVID-19 crisis. Material and Methods: The present study included 50 students of first year MBBS of Saveetha Medical College. Steps to conduct the aim for divided in two google forms, one contains challenging questions on the topic Lungs and Heart and other was a questionnaire to know the students’ perception on this online assessment tool. Results: It was observed that majority of the students have attempted the first google form and have also performed really well in it. 80% of the students were successful in giving the right answer for the questions given. In the second google form, which was a questionnaire, 85% of the students have found this online self-assessment to be really useful, interesting and easy way of learning. They found the questions to be challenging and help them to remember the topic in a long run. 91% of the students have liked the way of learning. Conclusions: Online self-assessment tool definitely proved to be a student friendly method of learning. This method gave them a way to learn and practice their subject topics as well as helped them in improving their perception and memory.

The treatment of recurrent pelvic organ prolapse is challenging. The pelvic floor symptom needs to be treated, a high quality of life has to be ensured and complications have to be minimized. There is a wide range of surgical options that may be used. The surgeon should be able to discuss and offer native tissue procedures for prolapse. In addition, for the clinically challenging situations of recurrent prolapse, mesh augmented procedures may need to be discussed with the patient. A thorough knowledge of mesh and graft options, as well as knowledge of prolapse recurrence and adverse events rate, can help guide clinicians in counseling their patients effectively. Ultimately, this will allow surgeons to choose a personalized treatment option that best align with a woman’s lifestyle and treatment goals. In this chapter the anatomical concepts of supports of vagina are elaborated. The pelvic diaphragm, lateral attachment of vagina to arcus tendineus fascia pelvis, intrinsic and extrinsic sphincter control mechanisms are elaborated. The surgical techniques of suspending the vaginal vault with autologous tissue and synthetic mesh are discussed. Finally, the role of minimally invasive surgery of pelvic floor is discussed as an integral part of management of recurrent vaginal prolapse.