AN AYURVEDIC MANAGEMENT OF EKAKUSHTHA (PSORIASIS VULGARIS) THROUGH VIRECHANA KARMA (PURGATION THERAPY) AND SHAMANA CHIKITSA (PALLIATIVE THERAPY): A CASE STUDY

A 21 years old female patient had complained of silvery scaly skin lesions all over body with reddish discoloration having severe itching, burning sensation since 15 years back that got aggravated during each rainy and cold season. Examination- 1. Severe silvery scaly lesions shaded down on rubbing all over the day, 2. Characterized by sharply demarcated and erythematous papulosquamous lesions (Dry, thin, silvery-white scales), 3. Irregular, discoid and oval in shape. 3. Small areas of bleeding where the involved skin is scratched, 4. Scaly plaques on the scalp, 5. Auspitz Sign-positive, 6. Candle grease sign-Positive, 7. Grattage Test-Positive. Aims and Objectives: To prove the role & efficacy of Virechana drugs, Virechana Karma, Sansarjana Karma & Sanshamana chikitsa. Materials and Methods: 1. Dadimashtaka Choorna was given 5gm twice a day with lukewarm water continuously for 3 days as Aama Dosha Pachanartha, 2.Guggulutiktakaghritama was given 25ml, 50ml, 75ml, 100ml, 125ml, 150ml & 200ml with lukewarm water for next 7 days as Snehana Karma, 3. Bahya Snehana with Dashamoola Taila and Bahya Sarvaanga Swedana with Dashmoola Kwatha were applied for next 3 days, 4.Virechana Karma was done after Samyaka Snehana & Swedana. 5. Sansarjana Karma was done after Samayaka Virechana for 7 days. Differential Diagosis-Sidddham, Mandalkushtha & Ekakushtha. Provisional Dignosis-Ekakushtha, Final Diagnosis-Ekakushtha (Psoriasis vulgaris). Result: Significantly improvements were observed in treatment of Ekakushtha (Psoriasis vulgaris). Discussion: Deepana & Pachana chikitsa is responsible for Aama Dosha Pachanartha. Snehana is responsible for Srotosamamardawama. Swedana is responsible for Srotomargavishodhanam. Virechana is responsible for pacifying vitiated Pittaja as well as Kaphaja Dosha and Vyadhi

Studies on Effect of Different Cutting and Varieties on Growth Parameter of Spinach Beet (Beta vulgaris var. bengalensis L.)

During the Rabi season, the Department of Horticulture at Babasaheb Bhimrao Ambedkar University Lucknow (U.P.) conducted research on the effect of different cuttings and varieties on the Horticulture Research Farm. The experiment was conducted in a FRBD design with 16 treatments and two factor varieties (V1 Chandrika, V2 Pusa Jyoti, V3 All Green, and V4 Palak Katadar) and treatment (C0 no cutting, C1 cutting 1, C2 cutting 2, and C3 cutting 3). We found that the effect of cutting on vegetative growth parameters, viz., plant height, number of leaves, leaf length, leaf width, leaf petiole length, and germination percentage, is significant. We found that cutting C0 had a significant influence on the growth parameters (plant height, number of leaves, leaf length, leaf width, and petiole length), with the minimum observed at C3, the maximum germination observed at C1 as compared to C2 treatment, and the least germination recorded at C0 treatment. While plant height, number of leaves, leaf length, leaf width, petiole length, and germination percentage have a greater influence on Pusa jyoti (V2) than on All Green (V3), minimums are reported for Chandrika (V1).Find that combination V2C3 getting maximum green yield per unit area and per unit time

Correlation between the Seasonal Incidence of Aphids and Coccinellids on the Indian Mustard in Different Varieties and Sowing Dates

Ecological engineering plays an important role in Integrated Pest Management. Considering this, a field experiment was conducted at the Students’ Instructional Farm (SIF), Chandra Shekhar Azad University of Agriculture and Technology, Kanpur during the rabi season of 2020-21. The severity of the mustard aphid, Lipaphis erysimi (Kalt.) in mustard (Brussica juncea L.) crop and its period of occurrence were not uniform in two successive crop seasons. The highest aphid intensities of 120.8 aphids per plant, 138.0 aphids per plant, 148.7 aphids per plant, and 176.1 aphids per plant were recorded on mustard varieties Varuna, Varuna, Azad Mahak, and Ashirwad, respectively, during mid-February (6th MSW) when the mustard was planted on 13th November, 23rd November, 25th November, and 10th December 2020. A negative correlation was established between the average temperature (r = -0.3599) and the actual intensity of aphids, as well as the weekly increase of aphids (r = -0.5838). On the other hand, average relative humidity had a positive influence on aphid incidence. The potentiality of predatory beetles (coccinellids) in the mustard ecosystem was found to be weather-dependent. The weather factors favourable for aphid multiplication did not support the enhancement of the population of predatory ladybird beetles

Isolation of a high artemisinic acid containing plant of Artemisia annua

A plant of Artemisia annua containing high amounts of artemisinic acid (0.8%) was isolated. The combined concentration of the sesquiterpene artemisinin, and its intermediates artemisinic acid and artemisinin-B in this plant was 1.35%. The plant has been cloned by micropropagation in tissue culture

Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Conference Title: National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020Conference Acronym: RDMPMC-2020Conference Date: 26–27 August 2020Conference Location: Online (Virtual Mode)Conference Organizer: Department of Metallurgical and Materials Engineering, National Institute of Technology JamshedpurCo-organizer: Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, IndiaConference Sponsor: TEQIP-

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