Articulation Point Based Quasi Identifier Detection for Privacy Preserving in Distributed Environment

These days, huge data size requires high-end resources to be stored in IT organizations premises. They depend on cloud for additional resource necessities. Since cloud is a third-party, we cannot guarantee high security for our information as it might be misused. This necessitates the need of privacy in data before sharing to the cloud. Numerous specialists proposed several methods, wherein they attempt to discover explicit identifiers and sensitive data before distributing it. But, quasi-identifiers are attributes which can spill data of explicit identifiers utilizing background knowledge. Analysts proposed strategies to find quasi- identifiers with the goal that these properties can likewise be considered for implementing privacy. But, these techniques suffer from many drawbacks like higher time consumption and extract more quasi identifiers which decreases data utility. The proposed work overcomes this drawback by extracting minimum required quasi attributes with minimum time complexity

Improved Technique for Preserving Privacy while Mining Real Time Big Data

With the evolution of Big data, data owners require the assistance of a third party (e.g.,cloud) to store, analyse the data and obtain information at a lower cost. However, maintaining privacy is a challenge in such scenarios. It may reveal sensitive information. The existing research discusses different techniques to implement privacy in original data using anonymization, randomization, and suppression techniques. But those techniques are not scalable, suffers from information loss, does not support real time data and hence not suitable for privacy preserving big data mining. In this research, a novel approach of two level privacy is proposed using pseudonymization and homomorphic encryption in spark framework. Several simulations are carried out on the collected dataset. Through the results obtained, we observed that execution time is reduced by 50%, privacy is enhanced by 10%. This scheme is suitable for both privacy preserving Big Data publishing and mining

Postpartum pituitary necrosis: A report of 2 autopsy cases

Major hormonal changes emerge during pregnancy. The pituitary gland is one of the most affected organs with altered anatomy andphysiology. Sheehan’s syndrome also known as Simmonds’s syndrome or postpartum anterior pituitary necrosis is due to ischemicnecrosis secondary to blood loss and hypovolemic shock after child birth. We report two autopsy cases of postpartum anteriorpituitary necrosis with their clinical correlation. Histopathological examination of pituitary in both the cases showed extensive areasof coagulative necrosis involving the anterior pituitary. Both the cases were associated with indirect causes of maternal deaths likeinfectious etiology

Aerosol-Cloud Interactions in Turbulent Clouds: A Combined Cloud Chamber and Theoretical Study

The influence of aerosol concentration on the cloud droplet size distribution is investigated in a laboratory chamber that enables turbulent cloud formation through moist convection. In chapter 2, moist Rayleigh-Bénard convection with water saturated boundaries is explored using a one-dimensional-turbulence model. This study provides some background about supersaturation statistics in moist convection. Chapters 3 - 7 discuss the experimental and theoretical investigation of aerosol-cloud interactions and cloud droplet size-distributions in turbulent conditions. The experiments are performed in a way so that steady-state microphysics are achieved, with aerosol input balanced by cloud droplet growth and fallout. As aerosol concentration is increased the cloud droplet mean diameter decreases as expected, but the width of the size distribution is also observed to decrease sharply. The aerosol input allows for cloud generation in the limiting regimes of fast microphysics (τc \u3c τt) for high aerosol concentration, and slow microphysics (τc \u3e τt)for low aerosol concentration; here, τc is the phase relaxation time and τt is the turbulence correlation time. The increase in the width of the droplet size distribution for the low aerosol limit is consistent with the larger variability of supersaturation due to the slow microphysical response. A stochastic theory developed based on the Langevin equation for supersaturation predicts that the standard deviation of the squared droplet radius should increase linearly with a system time scale defined as τs-1 = τc-1 + τt-1, and the measurements are in excellent agreement with this finding. These experiments are discussed in chapters 3 and 4. This effect of varying cloud dropletsize-distributionwidth underscores the importance of droplet size dispersion for aerosol indirect effects. An application of this coupling of aerosol and supersaturation fluctuations during the \u27cloud-cleansing\u27 process is discussed in chapter 5. Cloud droplet relative dispersion, defined as the standard deviation over the mean cloud droplet size (d =σr / \u3c r \u3e), is of central importance in determining and understanding aerosol indirect effects. The analytical expression of d obtained from the stochastic theory is found to depend on the cloud droplet removal time, which in turn increases with the cloud droplet number density. The results show that relative dispersion decreases monotonically with increasing droplet number density, consistent with some recent atmospheric observations. The albedo susceptibility due to turbulence broadening has the same sign as the Twomey effect and augments it by order 10%. These results, along with the test of a commonly-used effective radius parameterization, are presented in chapter 6. In chapter 7, theoretical expressions for cloud droplet size-distribution shape are evaluated using measurements from controlled experiments in the Pi-Chamber. Three theoretical distributions obtained from a Langevin drift-diffusion approach to stochastic condensation are tested. Statistical techniques of χ2 test, sum of squared errors of prediction, and residual analysis are employed to judge relative success or failure of the theoretical distributions to describe the experimental data. In relative comparison, the most favorable comparison to the measurements is the expression for stochastic condensation with size-dependent droplet removal rate

Why “Ritiya” Could Not Go To Sell Vegetables? Myth Versus Reality In Terms Of Caste, Culture And Livelihood

This qualitative study focuses on the challenges faced by the upper-caste Brahmin women in rural areas of the district of Katihar, Bihar, India by focusing on their education, cultural values, and choosing the means of livelihood in the milieu of newly transformed rural areas in Bihar. A drastically decreasing educational quality in terms of skill and morality combined with the message of education translated as knowing the rights to maintain equity and equality have excluded the upper-caste women from the benefits of government policies. There is a paucity of research that could reflect the suppressed voice of insecurity and psychological dependency of these women, who like other communities are an integral part of the harmonious rural transformation in India. Based on Grounded Theory, this study was conducted on 20 upper-caste women (age 24 to 44) through semi-structured interviews. The analysis of the qualitative data reveals the agents of hindrances that keep this group of rural India economically handicapped and thus as a dependent but “commodity of honor” among their relatives or as a liberated but a “commodity of sex” for the others

Millets and their Nutritional Value: A Review

This comprehensive review paper delves into the nutritional value of millets and their multifaceted role in global nutrition and sustainability. Millets, a group of small-seeded grains, have garnered increasing attention due to their exceptional nutritional composition and potential to address contemporary challenges related to food security, health, and sustainable agriculture. Our exploration begins with an introduction to the various types of millets and their significance in global nutrition. We dissect the macronutrient and micronutrient profiles of millets, highlighting their rich content of carbohydrates, proteins, vitamins, minerals, dietary fiber, and antioxidants. Through an extensive analysis, we uncover the health benefits of millets, demonstrating their potential in managing chronic diseases, promoting gastrointestinal health, and aiding in weight management.  In the culinary realm, we showcase the versatility of millets, both in traditional and modern recipes, transcending cultural boundaries and dietary preferences. We emphasize the nutritional advantages of millet-based dishes and their incorporation into diverse cuisines worldwide. Furthermore, we explore the burgeoning market of millet-based food products, reflecting consumer demand for healthier alternatives. Our investigation extends to the pivotal role of millets in food security and sustainability. We highlight their resilience as a climate-resilient crop, their importance in ensuring food security for marginalized communities, and the adoption of sustainable farming practices. Millets emerge as a promising solution for reducing the environmental impact of agriculture. These above points explain with each point different research or review paper used to write with citation include in paragraph text from references 2016- 2022 with the title "A Review on Edible Mushrooms and Their Cancer Cure Properties" references write in APA styl

Economics and Marketing of Aromatic Rice - A Case Study of Chhattisgarh

In recent years there has been a serious concern among the farmers, scientists, policymakers and environmentalists regarding the continuous erosion of genetic biodiversity of rice cultivars in Chhattisgarh which has traditionally been known as bowl of scented rices in central India. In view of India’s potential competitiveness in aromatic rices in the international market, it is imperative to understand the dynamics of domestic trade in aromatic rice. In this study, marketing and price-spread patterns of aromatic rice in the state of Chhattisgarh have been examined. A few policy interventions have been suggested for promoting aromatic rices in the state.Crop Production/Industries, Marketing,

Evaluation of the relevance of touch imprint cytology in the diagnosis of various neoplastic lesions

Background: Imprint is a very simple and rapid technique for tissue diagnosis. Imprint is a touch preparation in which tissue is touched on a slide and it leaves behind its imprint in the form of cells on the glass slide. In present study we have correlated the cytological diagnosis by imprint with histological diagnosis and tried to evaluate the accuracy and usefulness of this.Methods: The study was conducted in department of Pathology of Pt J.N.M. Medical College, Raipur (C.G) India. From neoplastic lesions imprint smears were prepared immediately after resection of surgical specimen. After preparation of imprint smears specimens were processed by routine histopathological processing. Final reports of both processes were compared to know accuracy of diagnosis by imprint cytology.Results: Out of total 110 cases, 25 cases were benign and 85 cases were malignant. Out of the 25 benign cases, 14 (56%) were diagnosed correctly and correlated with histological diagnosis. while 11 (44%) cases were false negative. No false positive cases were there. Out of 85 malignant lesions 78 (91.76%) were diagnosed correctly and correlated on histopathology, while 7 (8.23%) were false negative. Overall diagnostic accuracy by imprint smear after histological correlation was 83.63% increasing to 91.76% for malignant lesions.Conclusions: With an accuracy rate of 83.63% we can say that imprint cytology is a quick reliable simple and cost effective procedure.