Volume 9 | Issue 5 |

 Abstract

The close relationship between dietary salt intake and hypertension is widely recognized and supported by numerous epidemiological, clinical, and experimental studies. An excessive consumption of salt (NaCl) not only increases the blood pressure and incidences of blood pressure, but also associated with the increase in morbidity and mortality from cardiovascular disorders, such as the risk of stroke, left ventricular hypertrophy and proteinuria.Prolonged reduction in dietary salt intake induces the relevant lowering of blood pressure in both hypertensive and normotensive individuals.Depending upon the baseline blood pressure and degree of saltintake reduction. Systolic blood pressure can be lowered by 4 to 8 mm of Hg. A dietary salt reduction of 3 g/day predicts a fall in blood pressure of 3.6-5.6/1.9-3.2 mm of Hg (systolic/diastolic) in hypertensive and 1.8-3.5/0.8-1.8 mm of Hg in normotensives.

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 Keywords

Hypertension, Dietary salt, Blood pressure, Diastolic, Heart, Normotensive.

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 Abstract

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 Keywords

damnum sine injuria, legal maxim, contemporary analysis

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The pandemic has thrown our world into uncharted territory. Experts believe that Covid-19 may significantly impact the USD 180 billion Indian IT sector. The bright side is that this is often expected to be a short-term challenge for the IT industry. Though the IT spend will initially dip in 2020, IT companies will gradually see an increase in market opportunities, especially the merchandise companies. The need for remote working would grow the demand for automation and collaboration tools and increase the shift to cloud computing. It is imperative to stay employees motivated and enthused to realize this future together. In these times, human resources department is tasked with ensuring adequate enablement and engagement of teams while also preparing for a few hard decisions.

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 Keywords

Human Resource Management, Human Resource, Pandemic, Covid19

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The internet of things originates a world where on daily basis objects can join the internet and interchange information and in addition process, store, gather them from the nearby environment, and effectively mediate on it. A remarkable number of services might be imagined by abusing the internet of things. Fog computing which is otherwise called edge computing was introduced in 2012 as a considered is a prioritized choice for the internet of things applications. As fog computing extend services of cloud near to the edge of the network and make possible computations, communications, and storage services in proximity to the end user. Fog computing cannot only provide low latency, location awareness but also enhance real-time applications, quality of services, mobility, security and privacy in the internet of things applications scenarios. In this paper, we will summarize and overview fog computing model architecture, characteristic, similar paradigm and various applications in real-time scenarios such as smart grid, traffic control system and augmented reality. Finally, security challenges are presented.

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 Keywords

Internet of Things; Cloud Computing; Fog Computing; Security

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Geographical information system has been used for the calculation and delineation of the morphometric characteristics of the River basin. The study of morphometric analysis of Tungabhadra river basin has been based on the secondary source. The Dem data (Digital elevation model) for the study area downloaded from USGS earth explorer website. The downloaded data has been analysed using Arc GIS Software. In addition, we study linear, relief and aerial parameters of drainage basin Retrieved that (indices were computed). The stream order ranges from first to six orders. The analysis has revealed that the total number and length of stream segments is maximum in first order streams and decreases as the stream order increases. The stream order of the basin is form first order to sixth order , where the total number of the streams for the basin is 2580 out of which 1326 are first order 643 are second order 378 are the third order, 120 are the fourth order,78 are the fifth order streams and 35 are the six is order. The streams have been formed in Dendric drainage pattern drainage pattern with drainage density of 0.622 km2 infers the less permeable surface of the basin with thin vegetation and moderate to high elevation. The Bifurcation ratio (Rb) between different successive orders varies revelling the geostructural the shape parameters circulatory ratio (Rc )=0.28,Elongation ratio(Re) =0.31, form factor (Rf)=0.24 indicates elongated shape of the basin which increases the chance of infiltration. These studies are very useful for identifying and planning the ground water potential zones and watershed management.

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 Keywords

Drainage network, Tungabhadra River basin, SRTM Dem, Arc GIS10.3

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Cassava (Manihot esculenta Cralztz) is considered one of the most important root crops, mainly consumed by developing countries and cultivated in the tropics and subtropics where more than half of the population suffers from malnutrition. Cassava leaves are a source of richness in vitamins, proteins and minerals. As for its roots and leaves, they are deficient in amino acids namely methionine and cysteine, so there is a poor distribution of certain nutrients is the cassava plant. Cassava is also packed with many antinutrients which can be beneficial or toxic to our body depending on how much we consume. Cassava (Manihot esculenta Crantz) is one of the most valuable food crops capable of ensuring food security. These roots can be converted by processing to get enough food. The application of the machines for the processing of cassava roots has greatly contributed to add value to it, which has made it possible to make profit and provide food. The objectives of our study are to standardize a cassava and milk-based product in order to improve certain nutrient contents of cassava. All of this was aimed at reducing malnutrition caused by cassava consumption and reducing hunger.

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Cassava, antinutrients, amino acid, milk, hunger

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 Abstract

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cisgenesis, public opinion, alternative breeding approach, intragensis, regulation.

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This paper gives a brief description of the laws of Manu on marriage of a man and a woman, what an ideal marriage should look like and the expectations of a husband from his wife and vice versa. What drives this paper is the need to analyze if Manusmriti has influenced modern marriages as well and also if it is still relevant today. The paper also sheds light on how our society is still patriarchal and women have to struggle within their own homes for equality. Their status is not equal even in front of their husband. This is why women should realize their rights and fight against the norm of patriarchy.

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manusmriti, marriage laws, manu, arthsastra

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Food packaging has progressed from being just a package for food to one that will now actively influence food safety. Many packets are only just cans, but they have properties designed to secure the food. This involves oxygen, moisture, and taste barriers. The aim of this paper is to address the importance of understanding customer expectations in order to properly design product packaging and achieve the desired role in the minds of customers. Consumers have shown common interpretations of product packaging techniques, showing that a common understanding of what a specific packaging entails remains. As a result, public opinion should guide packaging designers in meeting customers' needs. Food packaging helps protect foods against physical, chemical, and environmental factors that could possibly contaminate all of the food if not packaged correctly.

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 Keywords

bundling, product positioning, consumer behaviour, product.

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In this advanced world, data is a resource, and tremendous data was creating altogether fields. Data in the medical care industry comprises patient data and infection-related data. This clinical data and AI method will assist us with examining a lot of data to discover the secret examples in the infection, to give customized treatment to the patient, and used to foresee the illness. In this work, an overall design has proposed for foreseeing the sickness in the medical services industry. This framework was tested utilizing with decreased set highlights of Constant Heart and cancer disease dataset utilizing improved AI prediction strategy consist of AI methods, for example, Knn neighbors classifier, Random Forrest Classifier in PhyCharm From the output results, knn neighbors classifier and random Forrest produce accuracy as 95% and 89% in the Breast Cancer and Heart Disease dataset respectively.

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 Keywords

Random forest ,Knn neighbors classifier , Data analytic , Breast Cancer , Heart disease Clinical data analytics , Healthcare analytics

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