Doubly Fed Induction Generator Based Wind Energy Conversion Systems

Doubly Fed Induction Generator for Wind Energy Conversion Systems manages the operation of doubly fed induction generator (DFIG) with an incorporated dynamic channel abilities utilizing lattice side converter (GSC). The fundamental commitment of this work lies in the control of GSC for providing music notwithstanding its slip control exchange. The rotor-side converter (RSC) is utilized for achieving greatest power extraction and to supply required responsive energy to DFIG. Wind vitality transformation framework (WECS) fills in as a static compensator (STATCOM) for providing music notwithstanding when the wind turbine is in shutdown condition. Control calculations of both GSC and RSC are exhibited in detail. Executed venture DFIG-based WECS is reproduced utilizing MATLAB/Simulink . A model of the proposed DFIG based WECS is produced utilizing a fluffy rationale controller. The wind vitality is the favored for all renewable vitality sources. In the underlying days, wind turbines have been utilized as settled speed twist turbines with squirrel confine acceptance generator and capacitor banks. The majority of the wind turbines are settled speed in view of their effortlessness and minimal effort

RESEARCH AND REVIEWS: JOURNAL OF PHARMACOLOGY AND TOXICOLOGICAL STUDIES Cytotoxicity analysis by MTT assay of isolated Gossypol from Bt and Non-Bt Cotton Seeds on HeLa Cell Lines

ABSTRACT The present paper deals with study of In-vitro cytotoxicity effect of isolated gossypol from Bt and Non-Bt cotton seeds on HeLa cell lines. Gossypol is a polyphenolic binaphthyl diadehyde natural yellow colored pigment. It is not only resistance substance for cotton plant's selfdefense system against insect pests and possibly some diseases but also an important phytochemical compound of immense interest due to its several biological properties including anti-cancer,anti-HIV,antioxidation, antimicrobial and as male contraceptive. During this study gossypol exhibited broad spectrum of anti-cancer activity against the HeLa cell lines. The cytotoxicity effect of gossypol was detemined by MTT (3-(4-,5-dimethylthiazolyl-2)-2,5-dipheniltetrazolium bromide) assay. Gossypol from Bt and Non-Bt cotton seeds has shown dose dependent cytotoxicity effect against HeLa cell lines. In-vitro screening of the gossypol showed potential cytotoxic activity against HeLa cell lines. Mortality rate of 11.5884% and 22.6058% with 3µg/1µl concentration of isolated gossypol from Bt and Non-Bt cotton seed extracts was observed on HeLa cell lines respectively. Hence the inhibitory concentration at 50% (IC50) was fixed at 3µg/1µl of gossypol for HeLa cells. The standard anti-cancer drug Doxorubicin (1mg/ml) was also used in this study to confirm anti-cancer activity of gossypol isolated from Bt and Non-Bt cotton seed with 1.7828% cell viability. The present study confirms the mild toxic effect of gossypol on HeLa cell lines and can preferably be used as anti-cancerous drug in combination with other natural similar compounds to replace the synthetic chemical drugs for fewer side effects

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

Influence of phytin phosphorous and dietary fibre on in vitro iron and calcium bioavailability from rice flakes

The study was undertaken with the objective of analysing the bioavailable iron, calcium and related constituents in rice flakes of four different thicknesses. Rice flakes of four different thicknesses were procured from four different commercial sources. They were analysed for moisture, mineral, iron, calcium, phosphorous, dietary fibre and phytin phosphorous using standard methods. Bioavailable iron and calcium were estimated using the equilibrium dialysis method. The thickness of flakes ranged from 0.08 to 1.20 mm for thin to thick flakes. The mineral content of the flakes ranged from 0.5 to 1.2 g, iron content from 3.38 to 6.86 mg and calcium content from 107 to 210 mg/100 g in samples of different thickness. Phosphorous (111–430 mg/100 g), phytin phosphorous (23–164 mg/100 g) and dietary fibre (5.64–11.5 g/100 g) reduced with the degree of flaking. The percentage of available iron ranged from 7% to 26% and that of available calcium from 8% to 25% from thick to thin flakes, but the differences were non-significant. Multiple regression analysis of the data showed a significant association of phytin phosphorous and dietary fibre (dependent variables) for binding of iron and calcium

Laser spectroscopy monitoring of cancer therapy

This article does not have an abstract

Tissue Raman spectroscopy for the study of radiation damage: brain irradiation of mice

Radiotherapy is routinely employed in the treatment of head and neck cancers. Acute cell death, radiation-activated chemical cascades, and the induction of genes coding for protective factors like cytokines are considered to be the major processes involved in radiation damage and repair. It should be possible to follow these processes by monitoring the biochemical interactions initiated by radiation. We have carried out Raman spectroscopy studies on tissue from mice subjected to brain irradiation to identify the biochemical changes occurring in tissue and brain as a result of radiation injury. These studies show that brain irradiation produces drastic spectral changes even in tissue far removed from the irradiation site. The changes are very similar to those produced by the stress of inoculation and restraint and the administration of an anesthetic drug. While the changes produced by stress or anesthetics last for only a short time (a few hours to 1 or 2 days), radiation-induced changes persist even after 1 week. The spectral changes can be interpreted in terms of the observation of new spectra that are dominated by bands due to proteins. The results thus support the hypothesis that various protective factors are released throughout the body when the central nervous system (CNS) is exposed to radiation

Laser spectroscopy studies of radiation effects on animal models and human systems

Radiotherapy remains one of the major treatment modalities for cancer even though it is known to produce serious immediate, early-delayed and late delayed side effects. A study of biochemical processes taking place in the system following radiation therapy will be very important in understanding these effects. Spectroscopic methods provide very sensitive techniques for identification and determination of individual components in complex biological samples. Its applications in clinical diagnostics, both in-vitro and in-vivo, are being explored very vigorously at present. Effects of radiation exposure on living systems have been studied by several groups in the past. However, all such studies have been based on morphological and histopathological analyses which cannot usually give information on immediate or early delayed damages and many of the biochemical changes causing such damages. Practically no spectroscopic studies have been carried out in this area so far, in spite of the fact that information at a molecular level can be obtained by such studies at various stages after radiation exposure. This article describes the potential of laser Raman, fluorescence, and proteomics spectroscopy techniques for the evaluation of immediate, early-delayed and late-delayed radiation effects in mouse models and human systems. Techniques of Time-Delayed spectroscopy, Principal Component Analysis, and curve-fitting of spectra are used in interpretation of the complex spectral changes observed in trauma, administration of drugs and radiation exposure

Tissue and serum fluorescence spectroscopy as a marker to monitor radiation therapy in cancer of human uterine cervix

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Standardization and application of real-time polymerase chain reaction for rapid detection of bluetongue virus

Aim: The present study was designed to standardize real-time polymerase chain reaction (PCR) for detecting the bluetongue virus from blood samples of sheep collected during outbreaks of bluetongue disease in the year 2014 in Andhra Pradesh and Telangana states of India. Materials and Methods: A 10-fold serial dilution of Plasmid PUC59 with bluetongue virus (BTV) NS3 insert was used to plot the standard curve. BHK-21 and KC cells were used for in vitro propagation of virus BTV-9 at a TCID50/ml of 105 ml and RNA was isolated by the Trizol method. Both reverse transcription -PCR and real-time PCR using TaqMan probe were carried out with RNA extracted from virus-spiked culture medium and blood to compare the sensitivity by means of finding out the limit of detection (LoD). The results were verified by inoculating the detected and undetected dilutions onto cell cultures with further cytological (cytopathic effect) and molecular confirmation (by BTV-NS1 group-specific PCR). The standardized technique was then applied to field samples (blood) for detecting BTV. Results: The slope of the standard curve obtained was -3.23, and the efficiency was 103%. The LoD with RT-PCR was 8.269Ex103 number of copies of plasmid, whereas it was 13 with real-time PCR for plasmid dilutions. Similarly, LoD was determined for virus-spiked culture medium, and blood with both the types of PCR and the values were 103 TCID 50/ml and 104 TCID 50/ml with RT-PCR and 10° TCID 50/ml and 102 TCID 50/ml with real-time PCR, respectively. The standardized technique was applied to blood samples collected from BTV suspected animals; 10 among 20 samples were found positive with Cq values ranging from 27 to 39. The Cq value exhibiting samples were further processed in cell cultures and were confirmed to be BT positive. Likewise, Cq undetected samples on processing in cell cultures turned out to be BTV negative. Conclusion: Real-time PCR was found to be a very sensitive as well as reliable method to detect BTV present in different types of samples, including blood samples collected from BTV-infected sheep, compared to RT-PCR. The LoD of BTV is likely influenced by sample type, possibly by the interference by the other components present in the sample