Association of mid sleep time and social jetlag with psychosocial behaviour of Indian population during COVID-19 lockdown

Background: India, being the third worst affected country from COVID-19 pandemic at the time of study, faced complete lockdown to minimize community transmission that confined people to social isolation for extended durations. Design and Methods: Therefore, we conducted an online questionnaire-based survey for the Indian population after 37 days of complete lockdown to assess the integrative effects of such home restriction and social isolation on mid-sleep time, social jetlag, and their associated psychosocial behaviour. From the reports of sleep onset and waking-up times before and during lockdown as obtained from a total of 1511 respondents of ≥18 years, mid-sleep time (MST) and social jetlag (SJL) were calculated. Participants also rated their psychosocial behaviour related variables on a Likert scale.  Results: Significantly delayed MST was noted during the lockdown. The majority showed reduced social jetlag; however, younger people and female subjects exhibited more SJL with delay in MST. Also, delayed MST and elevated SJL problems were more clearly demonstrated in people exhibiting more disturbances in sleep quality and daily routine, lower general mood status, irregular feeding habits (snacking frequency), worsened personal relationship, quality of life, and increased daydreaming events.Conclusion: The study emphasizes the importance of maintaining a regular daily routine with respect to sleep-wake patterns and eating habits to minimize the impact of such a crisis situation on sleep behaviour, social jetlag, and associated psychosocial wellbeing

Impact of COVID-19 lockdown on sleep-wake schedule and associated lifestyle related behavior: A national survey

Background: Lockdowns to prevent the community transmission of COVID-19 pandemic has confined the people at home and imposed social restrictions, which is expected to cause alterations in circadian driven sleep-wake schedule and its associated lifestyle behaviors. Design and Methods: An online questionnaire-based survey was conducted to assess the impact of lockdown on the sleep-wake pattern, meal timings and digital media exposure time on the Indian population during lockdown. Responses of 1511 participants (age ≥18 years) were analyzed to assess the effect of gender and age on these parameters before and during lockdown.Results: The sleep onset-wakeup times and meals’ time was significantly delayed during lockdown, which was more pronounced in younger subjects. However, young individuals reported increased sleep duration at this time. Increased digital media duration was evident in all age groups, mainly in males. However, females reported more delay in sleep onset-waking time and first meal timing with longer sleep duration during lockdown.Conclusions: Discord with social and natural cues due to complete lockdown during COVID-19 pandemic leads to a state of social jetlag with delayed sleep-wake, meal timings and excessive digital media exposure among Indians, which has differential impact on males and females as well as across different age groups. These findings have applied implications in sleep health and related behavior during longer social isolation conditions such as current COVID-19 or similar situations and may help to prepare better for any such future events

Analysis of DO sag for Multiple Point Sources

The classical model of Streeter and Phelps for the Dissolved Oxygen (DO) is of limited practical importance as itis unable to address the situation when partially treated/untreated waste is discharged in a river through multiplepoints scattered along the river. The Streeter and Phelps model is modified to take into account additional factorslike settleable Biochemical Oxygen Demand (BOD) and Dispersion. The presented model addresses a practicalsituation where the waste is discharged in a river through multiple point sources that increases the complexity ofcomputation in predicting DO conditions in river. The presented model is applied on a real field data collectedfor the river “Yamuna” along Delhi (Capital of India).Keywords: Mathematical Model, BOD, Water Pollution, MATLAB programming

Enhanced One Dimensional Modeling for Predicting Concentration of BOD in rivers

To maintain the river water quality it is necessary to predict the concentration of biochemical oxygen demand (BOD) in rivers. Various one dimensional models that  are developed so far  are applicable only after complete mixing of the pollutant across the cross-section is over which may take longer time for rivers with large width. Such type of situations is not represented effectively by the existing one dimensional model. Moreover, many of these one dimensional models do not account for the settle able part of BOD that invariably takes place when partially treated/ untreated waste enters these water bodies. A model is developed that is not more complicated than a one dimensional model but rationally predict the transport of BOD causing pollutant in almost 80% of initial period. The presented model can be used in conditions when partially treated/untreated waste is discharged in rivers with large width. Keywords: Mathematical Model, BOD, Water Pollutio

Challenges in Creation and Management of Knowledge Capital in Technical Educational Institutions

340-345 The global knowledge economy has put the focus on local centres of economic growth and depends on the capacity of institutions and organizations to continually reinvent and reconfigure themselves and their environment. In this context, certain parameters were taken into consideration for a better understanding of how institutions deploy their core resources and competencies towards IP creation and management. This paper examines some of the challenges faced in IP creation for India and suggests approach to effectively manage the knowledge capital. In particular, the objectives of the study are assessment and identification of issues in creation of IP in technical institutions, and finding appropriate measures to address these issues. </smarttagtype

A retrospective study of transfusion practices in a Tertiary Care Institute

Background and Aims: Excessive requests for cross matching blood which is more than the blood required for transfusion are usually based on worst case assumptions leading to overestimation of blood usage. We investigated the blood ordering pattern and transfusion practices so as to incorporate a blood ordering schedule for streamlining the use of blood in various hospital departments. Methods: The study was conducted over a period of 19 months in a 350 bedded tertiary teaching hospital. Source of data was blood bank requisition forms and blood bank registers of patients who underwent elective or emergency procedures in the hospital, for which blood was ordered. Data were entered in MS Excel and analysed using SPSS version 20. Results: The blood bank was requested to prepare 10,594 units of blood for 2556 patients. The blood utilised was 16.04% of total cross matched blood, leaving 83.9% of units cross matched but not transfused to patient for whom it was prepared, i.e., wasted. The surgery department had the highest number of units cross matched and transfused. The least number of units cross matched and wasted due to non-transfusion were from the Department of Oncology. Conclusion: The current deficiency of explicit maximum blood order schedule in our hospital is the major factor responsible for high cross match: transfusion ratio. Therefore, a maximal surgical blood order schedule has been suggested to the hospital transfusion committee to implement maximum surgical blood order schedules for selected procedures