Coalgebraic Fuzzy geometric logic

The paper aims to develop a framework for coalgebraic fuzzy geometric logic by adding modalities to the language of fuzzy geometric logic. Using the methods of coalgebra, the modal operators are introduced in the language of fuzzy geometric logic. To define the modal operators, we introduce a notion of fuzzy-open predicate lifting. Based on coalgebras for an endofunctor $T$ on the category $\textbf{Fuzzy-Top}$ of fuzzy topological spaces and fuzzy continuous maps, we build models for the coalgebraic fuzzy geometric logic. Bisimulations for the defined models are discussed in this work

EXTRACELLULAR ALKALINE PROTEASE PRODUCING HALO-ALKALITOLERANT BACTERIA ISOLATED FROM MARINE COASTS OF ODISHA

Objective: The objective of the present study was on the isolation of alkali-tolerant bacteria from sediment samples of different coasts of Odisha, having potentiality to produce alkaline protease.Methods: About 25 sediment samples were collected and analyzed for pH and moisture contents. Then isolation of alkali-tolerants was done using Horikoshi media at 10.3 pH. Isolates were analyzed for producing alkaline protease by plate assay method both at pH 6 and 10. Effects of temperature on protease production were also determined. Besides a new method of quantification of enzymes were adapted. Along this the isolates were partially characterized and identification was done using PIBWin software.Results: About 80 isolates were initially isolated, and 11 isolates were considered based on maximal zones of clearances at alkaline pH. Maximum solubilisation index (SI) was found to be 30 mm by 3 isolates viz. AP2, AP8 and AP13 while maximum hydrolytic run percentage (HR%) was found to be 65.39% by AP3. About 45.46% isolates had capability for protease production at 37 °C and 18.18% at 57 °C while 81.82% isolates showed production at 17 °C. AP8 was the good producers of alkaline protease having SI 39 mm at pH 10 while incubating at 47 °C. Isolates were characterized partially by cultural, morphological, biochemical and physiological tests, which were belonged to the genera of Bacillus, Virgibacillus and Micrococcus. The isolated bacteria showed growth at pH ranges from 4-12 and can tolerate 12% NaCl concentrations for their growth.Conclusion: Due to the above unique features and capability to produce alkaline proteases by the marine isolates, can be used significantly in various industries.Keywords: Alkali-tolerant, Alkaline protease, Halo-tolerant, Hydrolytic run, Odisha-coas

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

PRESUMPTIVE TUBERCULAR EMPYEMA THORACIS SCORING SYSTEM (pTESS) IN CHILDREN : AN OBSERVATIONAL RETROSPECTIVE COHORT STUDY.

Introduction: Global TB Report 2018 reports that in India, an estimated 2.2 lakh children become ill with tuberculosis (TB) each year (22% of the global TB burden), with a slightly higher burden among males. Pulmonary TB is the most common form in children but the extra-pulmonary TB forms a larger proportion of cases than in adults. Aim & Objective: To find out the diagnostic efficacy of the Scoring system in presumptive tubercular empyema thoracis and the diagnostic accuracy of CBNAAT in the diagnosis of tubercular empyema thoracis. Material & Method: 41 patients aged 1-14 years were enrolled after written informed consent was obtained from the patients. Children with ATT or preexisting lung disease were excluded from the study. Presumptive TB Empyema was defined on the basis of the revised National Tuberculosis Program (RNTCP). The cutoff score for the scoring system was calculated and retrospectively applied to the 41 subjects and the efficacy was assessed. RESULT: pTESS had an area under the curve 0.967(95% CI 0.902-1.000, p-value <0.001)Indicating a good predictive value in predicting tubercular empyema had a sensitivity of 90.91% (58.72% to 99.77%) and specificity 96.67 %( 82.78%- 99.2%), false positive rate 3.33%( 0.08%- 17.22% ), false negative rate 9.09%(23%- 41.28%) positive predictive value 90.91% (58.72%- 99.77%), negative predictive value 96.67% (82.78%- 99.92%), LR+=27.27 LR-=0.09OR-130.5, Youden Index 0.8. The sensitivity of CBNAAT in our study was 36.36% and specificity of 96.67% positive predictive value of 80%, negative predictive value of 80.56%. Conclusion: pTESS  Scoring System can be used for the diagnosis of TB Empyema. Recommendation: Clinical assessment by the pTESS scoring system may be used for diagnosis of TB Empyema in the pediatric age group

Assessment of coral reef thermal stress over India based on remotely sensed sea surface temperature

Sea Surface Temperature is a critical physical attribute of coastal marine habitats. Remote sensing from satellite is the most widely used approach for monitoring the stress on coral reef ecosystems on large scale. Regional coral bleaching monitoring framework has been applied in five major Indian coral reef regions to investigate the threats. Degradation of coral reefs is a major environmental problem worldwide. ENSO (El Niño Southern Oscillation) event is one of the extreme climate change event, which elevate Sea Surface Temperatures (SSTs) of tropical oceans. This warming of SST increases the level of thermal stress on coral reefs. Coral reefs are the most sensitive ecosystem of all coastal ecosystems due to temperature change and exhibit bleaching when SST exceeds their normal summer maxima and remain high for more than 28 days. SST data from NOAA OISST v2 over period from 1982 to 2018 (37 years) were used for this study. Coral bleaching indices have been observed over five major Indian coral reef regions. Bleaching Threshold (BT), Positive SST Anomaly (PA) and Degree Heating Week (DHW) are commonly used indices for calculating thermal stress on the coral reefs computed from satellite-derived SST data. The BT value for each regions based on the long-term SST data analysis and found different. These thermal stress analyses over India were found close with the recorded mass coral bleaching events during 1998, 2010 and 2016. In addition, this study included calculating the thermal stress over India during Mass Coral Bleaching years

Octameric molecular aggregates of cyclic tellurane (C₅H₁₀TeCl₂) assisted by Te---Cl secondary bonds and long Cl---Cl contacts

2558-2562The supramolecular association in the cyclic tellurane [1,1,2,3,4,5,6-heptahydro-1, 1-di chloro tellurane] (C5H10TeCl2) is described. It exists as tetrameric molecular aggregates ass isted by Te---Cl secondary bonds. The tetramers are further associated through long Cl---Cl contacts to yield octameric molecular aggregates. The supramolecular association in C5H10TeCl2 is compared with the supramolecular associations (trimeric molecular aggregates) present in C5H10TeBr2 and C5H10TeI2