A clinical study on maternal and fetal outcome in pregnancy with oligohydromnios

Background: Oligohydramnios is associated with various maternal and fetal complication. It’s correlated fetal complications like FGR, increased risk of meconium aspiration syndrome, Birth asphyxia, low APGAR scores and increased congenital abnormalities in fetus. It’s also associated with maternal morbidities in view of operative interventions for delivery. To study effect of oligohydramnios in mother in form of, operative delivery and progress of labour. To study effect of oligohydramnios in fetus in form of fetal compromise i.e.  FGR, fetal distress, altered APGAR score, need for NICU admission. congenital anomaly and perinatal death.Methods: 50 patients with ≥ 28 weeks POG with oligohydramnios, confirmed by ultrasonographic measurement of AFI using four quadrant technique; were selected randomly after fulfilling inclusion and exclusion criteria.Results: Incidence of oligohydramnios were more found in primigravida (56%) in present study. Most common cause of oligohydramnios was idiopathic (62%) followed by PIH (20%). Most common cause of caesarean was fetal distress (23%) either due to cord compression or FGR. oligohydramnios was related to higher rate of Fetal Growth restriction and NICU admission (24%).Conclusions: Oligohydramnios is very common encounter during pregnancy, Because of its frequent occurrence; it demands intensive fetal monitoring and systemic approach to antepartum and intrapartum fetal surveillance. There is increased risk of intrapartum complication, perinatal morbidity, perinatal mortality; thus, the rate of caesarean increasing day by day.one should always know the fine line between vaginal delivery and caesarean section; move ahead with best option without hampering fetal wellbeing and avoid unnecessary operative morbidity

A study to assess the effectiveness of clinical teaching on the level of knowledge regarding nursing care bundle to prevent ventilator associated pneumonia among ICU nursing officers at AIIMS Bhopal

Background: Healthcare is a professional area bound to the ethical foundation of “do no harm.”, But in the current scenario, a rush to promote the curative scenario has led to the total downplay of the preventive aspect of care. The aim of this study was to assess the knowledge regarding nursing care bundle for the prevention of VAP among nursing officers before and after clinical teaching and to evaluate the effectiveness of clinical teaching. Methods: This pretest-post-test study was conducted on nursing officers working in the ICU of the All-India Institute of Medical Sciences, Bhopal, Madhya Pradesh. 100 nursing officers were enrolled in the study via convenience sampling technique. The self-structured tool was validated by 10 experts with a mean CVI value of 0.94. The reliability of the self-structured knowledge questionnaire was determined by the test-retest method and found to be 0.87. The collected data was analysed for frequency, mean, standard deviation, t-test, and association. Results: Findings showed that the mean knowledge score was 18.46±3.543 before intervention. After the intervention of video-assisted clinical teaching, a post-test was conducted, and the mean post-test knowledge scores was 25.07±2.801 at the p value <0.01. Knowledge of subjects about nursing care bundle for prevention of VAP was found to have a significant association with only educational qualification. Conclusions: This study's findings concluded that educational interventions are necessary for the enhancement of knowledge and better compliance of nursing officers with guidelines regarding the bundle of care for the prevention of ventilator-associated pneumonia

Engineered nanoparticles a novel approach in alleviating abiotic and biotic stress in millets: A complete study

Millets are a group of cereal crops that are known for their hardiness and ability to grow in harsh environments with limited resources. However, they still face various abiotic and biotic stresses that can significantly impact their growth and yield. In recent years, the use of engineered nanoparticles (ENPs) has emerged as a promising approach for alleviating such stresses in millets. ENPs are particles that have been intentionally engineered to have specific properties and functionalities. They are often made of metals, metal oxides, or carbon-based materials and are typically less than 100 nanometers in size. ENPs can interact with crop plants and the environment in unique ways, making them a potentially powerful tool for agricultural applications. This review entails several investigations that have studied the use of ENPs in mitigating abiotic stresses such as water deficit, salinity, heat, heavy metal toxicity, etc. in millets that emerged due to changing climate. It has been shown that the application of nanoparticles can improve water, and nutrient-use efficiency along with better resilience to stresses in millets under changing climatic conditions. It also explores the potential of nanoparticles to protect millets against biotic stresses such as pests and diseases. For instance, the use of nanoparticles has been publicized to significantly minimize the reduction caused by fungal, microbial, and insecticidal attacks in millets. In conclusion, the review circumscribes the use of ENPs in millet agriculture showing promising results in alleviating both abiotic and biotic stresses. It also includes insights into uptake mechanism and their mode of action in millet plants after application along with the risks of use and their management strategies as well. This work could have a substantial impact on millet farming in the future by improving yield, resilience, and crop stress studies. It is also imperative to account that the use of ENPs in agriculture should be approached with caution and guided by rigorous safety and risk assessments

Proceedings of International Conference on Women Researchers in Electronics and Computing

This proceeding contains articles on the various research ideas of the academic community and practitioners presented at the international conference, “Women Researchers in Electronics and Computing” (WREC’2021). WREC'21 was organized in online mode by Dr. B R Ambedkar National Institute of Technology, Jalandhar (Punjab), INDIA during 22 – 24 April 2021. This conference was conceptualized with an objective to encourage and motivate women engineers and scientists to excel in science and technology and to be the role models for young girls to follow in their footsteps. With a view to inspire women engineers, pioneer and successful women achievers in the domains of VLSI design, wireless sensor networks, communication, image/ signal processing, machine learning, and emerging technologies were identified from across the globe and invited to present their work and address the participants in this women oriented conference. Conference Title: International Conference on Women Researchers in Electronics and ComputingConference Acronym: WREC'21Conference Date: 22–24 April 2021Conference Location: Online (Virtual Mode)Conference Organizers: Department of Electronics and Communication Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, INDI

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BackgroundEstimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period.Methods22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.FindingsGlobal all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.InterpretationGlobal adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic