Regression Models For Prediction Of Water Quality In Krishna River

The River Krishna and its tributaries drain three important states of South India. The river water plays a very important role in the overall socioeconomic development of Andhra Pradesh.  In large river basins monitoring non-point sources pollution is rather difficult and expensive and is subjected to analytical errors. Hence, modeling water quality using land use data of the basin is attempted in the present study. The contribution from non-point sources (runoff from the river basin) is quiet considerable as the river drains various type of land uses. In this context, it is necessary to make a detailed study of the water quality of the river, to estimate the level of pollution and also main sources of pollution. Correlation studies explain the relationships, between dissolved solids concentration and land use of the basins. The multiple regression models accounted for significant variation in concentrations for majority of dissolved solids. The predicted concentrations are in good agreement with the observed values. The proposed models can be useful for planning land use controls in integrated water quality management program. As water quality of flowing water is closely linked to the land use in the basin, it is essential to include land use management in future river basin planning. Carefully designed land use studies to identify characterized and quantity of non point sources is essential elements to be emphasized to plan water quality management programme. The results of study indicate relative importance of non point sources pollution in addition to point sources pollution. Keywords: Dissolved solids, Land use planning , Regression models, Water quality

Machine Transplantation: Labour and Water Saving Technology in Paddy Cultivation

publishedVersio

Project Inception Report

publishedVersio

Adaptation of Direct Seeded Rice under Water Stress Conditions in Andhra Pradesh, Krishna Basin

publishedVersio

Garnet mineral chemistry as a provenance indicator for the modern beach sediments of north-eastern Andhra Pradesh, east coast of India

917-924The provenance of garnets from coastal sediments between the Nagavali and Vamsadhara river mouths, east coast of India were studied using garnet molecular proportions. This mineral chemical electron micro probe analytical data have been correlated with published garnet chemistry from various litho units of the eastern ghats granulite belt to understand provenance. The present study reveals that the garnets with molecular proportions of almandine (Alm. 50-56%), pyrope (Py. 33-43%) and traces of grossular (Gr. 5%) were derived from charnockite suite of rocks. The major portion (83%) of the studied garnets is derived from khondalite (metapelitic) suite of rocks susceptible for physical weathering due to large areal exposure and minor proportion (17%) is derived from charnockite suite of rocks which due to less coverage in drainage basis is not susceptible for mechanical weathering

Exploring the Therapeutic Potential of Rosemary: An In-depth Review of its Pharmacological Properties

The pharmacological effects of rosemary plant period a wide range and include anti-inflammatory and antioxidant properties. Rosemary is shown to have its potential on Ischemic stroke because of its Anti-oxidant and Anti-inflammatory properties. It contains strong antioxidants such carnosol, which has anti-inflammatory properties, and Rosmarinus acid, which fights oxidative stress. Rosemary is an attractive possibility for treating disorders like oxidative-related diseases because of its dual activity. Additionally, Rosemary has shown neuroprotective qualities that aid in maintaining brain health and cognitive function. The aromatic components in its essential oil may improve concentration and memory. Rosemary has also been investigated for its potential in hair care, with research indicating that it can encourage hair growth. These rosemary Officinalis also have different chemical substances and compounds like Terpenes, Essential oils, Bicyclic monoterpenes, Monoterpenoids, Ester and also, we have different pharmacological activates they are Anti-oxidative, Anti-inflammatory, Anti-microbial, Anti-obesity, Anti-fungal, Anti-cancer, Anti-diabetic, Cardiovascular activity, Skin health, Neuroprotective, Gastrointestinal, Sperm motility, Anti-depressant, Anti-viral activity

In vitro cytotoxicity, in vivo pharmacokinetic studies and tissue distribution studies of multifunctional citric acid dendrimers using the drug Cytarabine

Dendrimers are considered the emerging polymeric architectures, known for their well defined molecular-weight, polydispersity, uniformity and high-surface functionality. These nano-architectures are capable of encapsulating low-high molecular-weight drug moieties in their interior or exterior through covalent bonding and host-guest interactions. Further, large surface volume made researchers to implicate dendrimers in biomedical and therapeutic applications. Regardless of the massive applications, sometimes its use is limited because of the cytotoxicity produced.  Considering this, the present research is focused on the synthesis and PEGylation of citric acid dendrimers. PEGylation is an act of conjugating polyethylene glycol to dendrimers that completely eliminates the toxicity issues associated with dendrimers and render them biocompatible. Cytarabine was loaded in the dendritic architecture to target specifically the tumor cells. Dendrimers are made tumor specific by incorporating certain agents that get cleaved in tumor environment. Synthesized dendrimers were studied for its effect on acute cytotoxicity, tissue-distributions and pharmacokinetic parameters

Performance of no-till maize under drip-fertigation in a double cropping system in semi arid Telangana state of India

Availability of water for Agriculture is becoming increasingly difficult, besides the cost of power for applying it. Improving the water and nitrogen use efficiency has become imperative in present day’s Agriculture. Drip irrigation and fertigation provides the efficient use of limited water with increased water and nutrient use efficiency, respec- tively. A field experiment was conducted during post rainy season of two consecutive years (2011 and 2012), in sandy loam soils of Warangal, Telangana State, India to study the response of no-till maize (Zea mays L) after aerobic rice (Oryza sativa L) to drip irrigation and nitrogen fertigation under semi-arid environment. The experiment was laid out in split plot design with four replications. Three irrigation schedules viz. drip irrigation at 75% Pan Evaporation (PE); 100% PE and 125% PE were taken as main plots and three nitrogen levels through fertigation viz. 120, 160, and 200 kg ha-1 as sub plots. The growth parameters (plant height, LAI, drymatter accumulation), root volume and dry weight, yield attributes (cobs plant-1, kernels cob-1, kernel weight cob-1) kernel yield, stover yield and nitrogen uptake of no till maize increased with increase in water input from 75% PE to 100% PE irrigation schedule in drip irrigation but could not reach the level of significance at 125% PE. Tasseling and silking was hastened in 125% PE schedule. Increase in the level of N application through fertigation from 120 to 160 kg N ha-1 resulted in the increase of all the growth parameters, yield attributes, kernel yield, stover yield and nitrogen uptake. Barrenness and test weight were unaffected by either the irrigation schedules or nitrogen levels. The economic indicators (gross returns, net returns and net benefit: cost ratio) were higher with the irrigation schedule of 125% PE and nitrogen dose of 200 kg N ha-1 applied through fertigation. Increased water input from 75 to 125% PE resulted in decreased water use efficiency but enhanced nitrogen use efficiency while the reverse trend was found with respect to N levels under fertigation

Sparse Social Domains Based Scalable Learning of Collective Behaviour

Abstract-Social networking is process where many people get connected with each other share their views and images. Social Networking has become very important these days where many people get connected globally, every individual today has an social networking site account for example we can consider Facebook which has gained a lot of importance when compared to other social networking sites. We have many social networking domains available in the market like Facebook, Twitter, Linkedin and many others. Social Network is good and interesting at the other side it is insecure also. Now a day's social network accounts are hacked so it is very important for every individual to logout properly in the system where they have used the network and also they should not share their account details with anyone which may lead to illegal issues. In this paper we are performing a scalable learning of a particular user through the usage of their social network and also giving a report like the main purpose for which the social network site was used by that user. Apart from the scalable learning we are also checking with the access control in the social networks where a user can share their views or images or videos to a specific group or to friends secretly. As the social network has gained more significance every individual is curious to get more likes to their posts so it is a very important task to stop the fake accounts or detect the Sybil users in the network. This paper does three tasks in total which are scalable learning, sharing access rights and detection of fake accounts