Digitizing grey portions of e-governance

Purpose: The purpose of this research paper is to assess e-governance efficacy in various sectors of India. The paper develops on Grey System Theory (GST) methodology and enlightens grey portions of e-governance in select sectors. Research study identifies few grey criteria which affect implementation of information and communication technology (ICT) applications to support sustainable e-governance. Such criteria are related to information security breaches, information technology (IT) policy implementation, investments and strategic advantages for the various sector developments. Design/methodology/approach: Considering “information” as a sensitive element to security for administration and part of dark portion to Indian economy, GST-based COmplex PRroportional ASsessment (COPRAS-G) method is adopted to assess the e-governance efficacy. The method provides flexible multicriteria decision-making (MCDM) approach to assess e-governance in prioritizing the sector alternatives of future strategic development. Priority order of select sectors is estimated, and COPRAS-G method is used in the research study to support decision-making on e-governance. Study compares ten major gross domestic product-dependent sectors based on few grey criteria. These criteria are chosen based on authors’ perspective on this study and feedback received from government officials of district levels under the Digital India-training programme. To address the subjectivity that lies in e-governance grey areas of sector, criteria are also weighted using fuzzy scale. Later methodology-based results are presented to draw a strategic road map for strategic development of the country. Findings: On applying COPRAS-G method to predict pessimistic, optimistic and realistic scenarios of e-governance implementation across the ten sectors, high priory order in realistic scenario of results shows that implementation of ICT applications for e-governance should be in the sectors such as environment, climate change and in the railways. Industrial sector is also ranked as the preferred one over the other sectors on the basis of e-governance efficacy assessment. Research limitations/implications: Here COPRAS-G method is used as MCDM techniques. However, few other MCDM techniques such as GRA, DRSA, VIKOR, SMAA, SWARA and SAW can be also explored to outrank various Indian sectors to deal with subjectivity in decision-making. Practical implications: Implementation of ICT applications to support e-governance varies from sector to sector. ICT-based governance involves high degree of complexity in driving the operations for development of respective sectors. Therefore, government and policymakers need more flexibility to overcome present barriers of sector development. Such research can support decision-making where GST-based COPRAS-G method is able to capture and address the breaches of information security. Moreover, management concern for sector development has been presented on the basis of pessimistic, optimistic and realistic scenarios more precisely. Social implications: The results can provide guidance to the academicians, policymakers and public sectors highlighting various possible measures to handle the security breaches in multi-facet intention of sustainable development. The outcomes from MCDM framework can also help in drawing a rough trajectory of strategy, i.e. development of ICTs applications and e-governance process. Originality/value: This paper can supplement and act as the support for decision-making in conflicting situations on different flexible scenarios. Moreover, such work can synergize conflicting ideas of decision makers, academics and various other stakeholders of the Indian IT sector

Skindex-29 to Determine Quality of Life and Emotional Factors in Dermatological Conditions

Though rarely fatal, skin diseases are known to be associated with increased psychiatric morbidity and considerable impairment of quality of life (QoL). Health Related Quality of Life (HRQoL) in skin diseases can be assessed by generic or skin specific instruments. One hundred sixty patients with a range of dermatological diagnoses were studied on a cross sectional observational paradigm. Skindex- 29, a skin specific instrument, was used to assess QoL, while anxiety and depression were assessed by Anxiety Status Inventory (ASI) and Depression Status Inventory (DSI), respectively. Sixty two patients (39%) had impaired QoL out of which 37(60%) had severe impairment. 11 patients (7%) had anxiety and 22(14%) had depression in the mild to moderate range. Gender, anxiety, depression and effect on appearance seem to be not related to impaired QoL. Further large scale studies are needed to ascertain the factors impinging on the QoL of dermatologically ill patients.Keywords: Quality of life, anxiety, depression, skindex-29, skin diseases.Â

Microstructural evolution in hot compressed TiHy 600 titanium alloy

TiHy 600 alloy is a near alpha titanium alloy, widely used for gas turbine engine applications such as disc and blades for high pressure compressors. One drawback of this alloy is that it is susceptible to cold dwell fatigue, which is due to the presence of micro-textured zones. Thus, appropriate processing parameters (i.e. temperature, strain and strain rate) are required to reduce the size of the micro-textured region. In order to find out the optimized processing parameters, hot compression tests were performed up to 50% engineering strain at temperatures range of 900oC-1050oC and strain rate range of 10-3 to 101 s-1 using thermo-mechanical simulator (Gleeble 3800®). Flow behavior characteristics were studied from the data obtained during hot compression and processing map was developed at true strain of 0.6 using Dynamic Materials Modeling (DMM) approach. Microstructural examination of deformed TiHy 600 titanium alloy were carried out at a particular strain rate of 10-3 s-1 and temperatures of 900oC, 950oC, 975oC, 1000oC and 1050oC. Microstructural examination consists of orientation image mapping along compression direction using electron backscatter diffraction. Hot compression mostly resulted into new dynamic recrystallized (DRX) alpha grains at 900oC, mixture of deformed large alpha grains containing subgrain boundaries and transformed beta phase consisting of secondary alpha laths at 950oC and 975oC and alpha laths transformed from deformed beta grains at 1000oC and 1050oC

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks

Social science NLP tasks, such as emotion or humor detection, are required to capture the semantics along with the implicit pragmatics from text, often with limited amounts of training data. Instruction tuning has been shown to improve the many capabilities of large language models (LLMs) such as commonsense reasoning, reading comprehension, and computer programming. However, little is known about the effectiveness of instruction tuning on the social domain where implicit pragmatic cues are often needed to be captured. We explore the use of instruction tuning for social science NLP tasks and introduce Socialite-Llama -- an open-source, instruction-tuned Llama. On a suite of 20 social science tasks, Socialite-Llama improves upon the performance of Llama as well as matches or improves upon the performance of a state-of-the-art, multi-task finetuned model on a majority of them. Further, Socialite-Llama also leads to improvement on 5 out of 6 related social tasks as compared to Llama, suggesting instruction tuning can lead to generalized social understanding. All resources including our code, model and dataset can be found through bit.ly/socialitellama.Comment: Short paper accepted to EACL 2024. 4 pgs, 2 table

Industrial heat island: a case study of Angul-Talcher region in India

Most of the urban heat island (UHI) studies are carried out in densely populated cities but core industrial areas are also potential sites of heat island effect despite having a comparatively lower population. In the present study, heat island assessment has been carried out for Angul-Talcher industrial area (ATIA) which is one of the oldest industrial areas of India and is still undergoing a transformation to accommodate more industries and mining operations. As the major contributors towards influencing local meteorology were expected to be industrial (and mining) activities, the heat island was studied as "industrial heat island" (IHI) rather than urban heat island. Industrial and mining sites were the most frequent nighttime canopy-layer heat island intensity (HIN) hotspots due to anthropogenic heat of associated industrial processes as well as built structures. During the daytime, croplands experienced the most frequent canopy-layer HIN hotspots which could be attributed to low moisture of the soils during the non-farming period of the field campaign. Hourly maximum atmospheric heat island intensities were observed in the range of 7-9 degrees C. Monthly maximum HINs ranged from 2.97 to 4.04 degrees C while 3-month mean HINs varied from 1.45 to 2.74 degrees C. Amongst different land use/land cover classes, the highest mean canopy-layer heat island intensity for the entire 3-month-long duration of field campaign during nighttime was assessed at the mining sites (3-month mean 2.74 degrees C) followed in decreasing order by the industrial sites (2.52 degrees C), rural and urban settlements (2.13 degrees C), and croplands (2.06 degrees C). Corresponding daytime canopy-layer heat island intensity was highest for the croplands (2.07 degrees C) followed in decreasing order by the mining sites (1.70 degrees C), rural and urban settlements (1.68 degrees C), and industry (1.45 degrees C)

Grzybiczy tętniak rzekomy tętnicy płucnej u pacjentki z historią ubytku przegrody międzykomorowej. Opis przypadku i przegląd piśmiennictwa

Tętniaki są rzadko zlokalizowane w tętnicy płucnej. Częstszą jest lokalizacja wewnątrzczaszkowa, aorta lub inne naczynia krwionośne. Tętniak tętnicy płucnej może być spowodowany zakażeniem takimi bakteriami, jak Staphylococcus, Streptococcus, Mycobacteria, Treponema pallidum, rzadziej grzybami. W pracy przedstawiono opis przypadku 7-letniej pacjentki, u której wystąpiły dwa prawostronne, przywnękowe tętniaki rzekome pochodzenia grzybiczego. Pacjentka była wcześniej leczona z powodu ubytku przegrody międzykomorowej. Grzybicze tętniaki rzekome tętnicy płucnej występują rzadko, a ich diagnostyka jest trudna. Jeśli u chorego przez dłuższy czas utrzymują się gorączka i kaszel, a zagęszczenie w obrębie miąższu płuc nie odpowiada na antybiotykoterapię, zaleca się wykonanie tomografii komputerowej klatki piersiowej z kontrastem. Można podejrzewać, że „krucha masa przyczepiona do łaty ubytku przegrody międzykomorowej” była punktem wyjścia dla rozwoju infekcyjnego zapalenia wsierdzia oraz powstania grzybiczego materiału zatorowego w tętnicach płucnych. Leczony wcześniej ubytek przegrody międzykomorowej mógł się w ten sposób przyczynić do rozwoju grzybiczego zapalenia wsierdzia.Tętniaki są rzadko zlokalizowane w tętnicy płucnej. Częstszą jest lokalizacja wewnątrzczaszkowa, aorta lub inne naczynia krwionośne. Tętniak tętnicy płucnej może być spowodowany zakażeniem takimi bakteriami, jak Staphylococcus, Streptococcus, Mycobacteria, Treponema pallidum, rzadziej grzybami. W pracy przedstawiono opis przypadku 7-letniej pacjentki, u której wystąpiły dwa prawostronne, przywnękowe tętniaki rzekome pochodzenia grzybiczego. Pacjentka była wcześniej leczona z powodu ubytku przegrody międzykomorowej. Grzybicze tętniaki rzekome tętnicy płucnej występują rzadko, a ich diagnostyka jest trudna. Jeśli u chorego przez dłuższy czas utrzymują się gorączka i kaszel, a zagęszczenie w obrębie miąższu płuc nie odpowiada na antybiotykoterapię, zaleca się wykonanie tomografii komputerowej klatki piersiowej z kontrastem. Można podejrzewać, że „krucha masa przyczepiona do łaty ubytku przegrody międzykomorowej” była punktem wyjścia dla rozwoju infekcyjnego zapalenia wsierdzia oraz powstania grzybiczego materiału zatorowego w tętnicach płucnych. Leczony wcześniej ubytek przegrody międzykomorowej mógł się w ten sposób przyczynić do rozwoju grzybiczego zapalenia wsierdzia

Garlic (Allium sativum L.) Bioactives and Its Role in Alleviating Oral Pathologies

Garlic (Allium sativa L.) is a bulbous flowering plant belongs to the family of Amaryllidaceae and is a predominant horticultural crop originating from central Asia. Garlic and its products are chiefly used for culinary and therapeutic purposes in many countries. Bulbs of raw garlic have been investigated for their role in oral health, which are ascribed to a myriad of biologically active compounds such as alliin, allicin, methiin, S-allylcysteine (SAC), diallyl sulfide (DAS), S-ally-mercapto cysteine (SAMC), diallyl disulphide (DADS), diallyl trisulfide (DATS) and methyl allyl disulphide. A systematic review was conducted following the PRISMA statement. Scopus, PubMed, Clinicaltrials.gov, and Science direct databases were searched between 12 April 2021 to 4 September 2021. A total of 148 studies were included and the qualitative synthesis phytochemical profile of GE, biological activities, therapeutic applications of garlic extract (GE) in oral health care system, and its mechanism of action in curing various oral pathologies have been discussed. Furthermore, the safety of incorporation of GE as food supplements is also critically discussed. To conclude, GE could conceivably make a treatment recourse for patients suffering from diverse oral diseases

The global, regional, and national burden of stomach cancer in 195 countries, 1990-2017 : a systematic analysis for the Global Burden of Disease study 2017

Background: Stomach cancer is a major health problem in many countries. Understanding the current burden of stomach cancer and the differential trends across various locations is essential for formulating effective preventive strategies. We report on the incidence, mortality, and disability-adjusted life-years (DALYs) due to stomach cancer in 195 countries and territories from 21 regions between 1990 and 2017. Methods: Estimates from GBD 2017 were used to analyse the incidence, mortality, and DALYs due to stomach cancer at the global, regional, and national levels. The rates were standardised to the GBD world population and reported per 100 000 population as age-standardised incidence rates, age-standardised death rates, and age-standardised DALY rates. All estimates were generated with 95% uncertainty intervals (UIs). Findings: In 2017, more than 1·22 million (95% UI 1·19–1·25) incident cases of stomach cancer occurred worldwide, and nearly 865 000 people (848 000–885 000) died of stomach cancer, contributing to 19·1 million (18·7–19·6) DALYs. The highest age-standardised incidence rates in 2017 were seen in the high-income Asia Pacific (29·5, 28·2–31·0 per 100 000 population) and east Asia (28·6, 27·3–30·0 per 100 000 population) regions, with nearly half of the global incident cases occurring in China. Compared with 1990, in 2017 more than 356 000 more incident cases of stomach cancer were estimated, leading to nearly 96 000 more deaths. Despite the increase in absolute numbers, the worldwide age-standardised rates of stomach cancer (incidence, deaths, and DALYs) have declined since 1990. The drop in the disease burden was associated with improved Socio-demographic Index. Globally, 38·2% (21·1–57·8) of the age-standardised DALYs were attributable to high-sodium diet in both sexes combined, and 24·5% (20·0–28·9) of the age-standardised DALYs were attributable to smoking in males. Interpretation: Our findings provide insight into the changing burden of stomach cancer, which is useful in planning local strategies and monitoring their progress. To this end, specific local strategies should be tailored to each country's risk factor profile. Beyond the current decline in age-standardised incidence and death rates, a decrease in the absolute number of cases and deaths will be possible if the burden in east Asia, where currently almost half of the incident cases and deaths occur, is further reduced. Funding: Bill & Melinda Gates Foundation

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

Background: Estimates 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. Methods: 22 223 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. Findings: Global 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. Interpretation: Global 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