A study of maternal outcome in heart disease in pregnancy in a tertiary care centre

Background: Cardiovascular disease in women is associated with 4% complications during pregnancy and is the most frequent leading cause of maternal mortality reaching up to 15%. It stands third among the most common causes of maternal mortality after obstetric haemorrhage and preeclampsia respectively.The objective of this study is to study the maternal outcome of heart disease in pregnancy. Methods: An Observational study was conducted over a period of 8 months over 50 antenatal patients with heart disease from January 2020 to August 2020 in the department of obstetrics and gynaecology, grant government medical college and JJ group of hospitals, Mumbai with appropriate inclusion and exclusion criteria. Prevalence of congenital and acquired heart disease complicating pregnancy, complications, age wise and parity wise distribution were mainly studied.Results: The incidence of heart disease was 1.8% amongst the 2,750 total deliveries conducted. In this study 46 (92%) were registered and 4 (8%) were unregistered antenatal cases. 45 (90%) belonged to upper lower class and lower class as per Kupuswamy scale with poor nutrition and antenatal care. 34 (68%) of patients had rheumatic heart disease and 11 (22%) patients had congenital heart disease. Mitral stenosis was found to be the dominant valvular lesion in rheumatic heart disease in 12 (24%) cases. Over 25 (50%) of the patients had normal vaginal delivery and 9 (18%) had instrumental vaginal deliveries, 7 (14%) with vacuum and 2 (4%) with forceps. Congestive cardiac failure was found to be the major complication found in 4 (3.9%) cases. About 8 (16%) patients required intensive care unit admission. Maternal maternity is about 4% (2 patients) in the present study.Conclusions: Maternal mortality in heart disease patients can be brought down significantly by effective preconceptional counselling, and improvements in medical, surgical, antenatal, intranatal, and postnatal care and effective motivation for contraception.

Compaction of microporous amorphous solid water by ion irradiation

We have studied the compaction of vapor-deposited amorphous solid water by energetic ions at 40 K. The porosity was characterized by ultraviolet-visible spectroscopy, infrared spectroscopy, and methane adsorption/desorption. These three techniques provide different and complementary views of the structural changes in ice resulting from irradiation. We find that the decrease in internal surface area of the pores, signaled by infrared absorption by dangling bonds, precedes the decrease in the pore volume during irradiation. Our results imply that impacts from cosmic rays can cause compaction in the icy mantles of the interstellar grains, which can explain the absence of dangling bond features in the infrared spectrum of molecular clouds.Fil: Raut, U.. University of Virginia; Estados UnidosFil: Teolis, B. D.. University of Virginia; Estados UnidosFil: Loeffler, M. J.. University of Virginia; Estados UnidosFil: Vidal, Ricardo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Famá, M.. University of Virginia; Estados UnidosFil: Baragiola, R. A.. University of Virginia; Estados Unido

Rice Leaf Disease Detection Using Convolutional Neural Network

In the agriculture sector, the rice crops getting diseased has become a significant concern recently, especially in India, where rice is one of the primary meals. Precise and early-stage detection of various diseases observed in the rice crops can help farmers to provide proper treatment to the crops. This paper presents a Convolutional Neural Network (CNN) based approach is used to detect rice plant leaf disease. CNN is one of the deep learning algorithms that help in image processing and classification with significant accuracy. The proposed algorithm is used for an image dataset of the diseased rice plant leaves, available on Kaggle. Two types of rice leaf diseases are considered for the analysis: brown spot and bacterial leaf blight. The images of these two diseases were pre-processed, segmented, and classified to identify the caused disease. The proposed model can also be used for the detection of the diseases present in other types of crops, faces recognition system, classifying animals, and car models. The overall accuracy of the developed model is nearly 67%

Lateritic Plateaus in the Northern Western Ghats, India; a Review of Bauxite Mining Restoration Practices

In global consequences of rapidly changing climate and increased amphibian population decline, mapping amphibian diversity in biodiversity hotspots is essential. In this study we have systematically studied anurans of Phansad Wildlife Sanctuary in terms of species diversity, population structure, threat status and distribution. We recorded a total of 22 anuran species, of which 11 species are endemic to Western Ghats biodiversity hotspot. Family Dicroglossidae was found to be more species-rich. Spatial and temporal variation in anuran diversity was observed by using Shannon diversity and evenness indices. Most of the endemic and threatened anuran species are found to be associated with evergreen undisturbed forest patches. Habitat parameters like humidity, forest type, canopy coverage, riparian canopy coverage, stream persistence and litter depth are found to be major variables governing species diversity and distribution. Major anthropogenic threats to amphibians of Phansad Wildlife Sanctuary are discussed along with future conservation objectives. With range extension of species like Fejervarya caperata and Minervarya sahyadris further north in the Western Ghats, taxonomic ambiguities recorded during study are discussed briefly

A survey on Data Extraction and Data Duplication Detection

Text mining, also known as Intelligent Text Analysis is an important research area. It is very difficult to focus on the most appropriate information due to the high dimensionality of data. Feature Extraction is one of the important techniques in data reduction to discover the most important features. Processing massive amount of data stored in a unstructured form is a challenging task. Several pre-processing methods and algorithms are needed to extract useful features from huge amount of data. Dealing with collection of text documents, it is also very important to filter out duplicate data. Once duplicates are deleted, it is recommended to replace the removed duplicates. This Paper review the literature on duplicate detection and data fusion (remov e and replace duplicates).The survey provides existing text mining techniques to extract relevant features, detect duplicates and to replace the duplicate data to get fine grained knowledge to the user

Temperature, RF Field, and Frequency Dependence Performance Evaluation of Superconducting Niobium Half-Wave Coaxial Cavity

Recent advancement in superconducting radio frequency cavity processing techniques, with diffusion of impurities within the RF penetration depth, resulted in high quality factor with increase in quality factor with increasing accelerating gradient. The increase in quality factor is the result of a decrease in the surface resistance as a result of nonmagnetic impurities doping and change in electronic density of states. The fundamental understanding of the dependence of surface resistance on frequency and surface preparation is still an active area of research. Here, we present the result of RF measurements of the TEM modes in a coaxial half-wave niobium cavity resonating at frequencies between 0.3 - 1.3 GHz. The temperature dependence of the surface resistance was measured between 4.2 K and 1.6 K. The field dependence of the surface resistance was measured at 2.0 K. The baseline measurements were made after standard surface preparation by buffered chemical polishing

Armodafinil versus Modafinil in Patients of Excessive Sleepiness Associated with Shift Work Sleep Disorder: A Randomized Double Blind Multicentric Clinical Trial

Aim. To compare the efficacy and safety of armodafinil, the R-enantiomer of modafinil, with modafinil in patients of shift work sleep disorder (SWSD). Material and Methods. This was a 12-week, randomized, comparative, double-blind, multicentric, parallel-group study in 211 patients of SWSD, receiving armodafinil (150 mg) or modafinil (200 mg) one hour prior to the night shift. Outcome Measures. Efficacy was assessed by change in stanford sleepiness score (SSS) by at least 2 grades (responder) and global assessment for efficacy. Safety was assessed by incidence of adverse events, change in laboratory parameters, ECG, and global assessment of tolerability. Results. Both modafinil and armodafinil significantly improved sleepiness mean grades as compared to baseline (P < .0001). Responder rates with armodafinil (72.12%) and modafinil (74.29%) were comparable (P = .76). Adverse event incidences were comparable. Conclusion. Armodafinil was found to be safe and effective in the treatment of SWSD in Indian patients. The study did not demonstrate any difference in efficacy and safety of armodafinil 150 mg and modafinil 200 mg

Thermal desorption of CH4 retained in CO2 ice

CO2 ices are known to exist in different astrophysical environments. In spite of this, its physical properties (structure, density, refractive index) have not been as widely studied as those of water ice. It would be of great value to study the adsorption properties of this ice in conditions related to astrophysical environments. In this paper, we explore the possibility that CO2 traps relevant molecules in astrophysical environments at temperatures higher than expected from their characteristic sublimation point. To fulfil this aim we have carried out desorption experiments under High Vacuum conditions based on a Quartz Crystal Microbalance and additionally monitored with a Quadrupole Mass Spectrometer. From our results, the presence of CH4 in the solid phase above the sublimation temperature in some astrophysical scenarios could be explained by the presence of several retaining mechanisms related to the structure of CO2 ice.Comment: 8 pages, accepted for publication in Astrophysics & Space Scienc