Paclitaxel loaded lipid nanoemulsions for the treatment of brain tumour

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Review Paper - High Utility Item sets Mining on Incremental Transactions using UP-Growth and UP-Growth+ Algorithm

One of the important research area in data mining is high utility pattern mining. Discovering itemsets with high utility like profit from database is known as high utility itemset mining. There are number of existing algorithms have been work on this issue. Some of them incurs problem of generating large number of candidate itemsets. This leads to degrade the performance of mining in case of execution time and space. In this paper we have focus on UP-Growth and UP-Growth+ algorithm which overcomes this limitation. This technique uses tree based data structure, UP-Tree for generating candidate itemsets with two scan of database. In this paper we extend the functionality of these algorithms on incremental database.

The governance of personal data for COVID-19 response: perspective from the access to COVID-19 tools accelerator

COVID-19 is the world’s first digital pandemic. Digital tools and technologies have been developed to track and trace the spread of the virus, screen for infection, and the pandemic has accelerated the use of digital technology in the delivery of healthcare. The continued development of these tools and technologies, the monitoring of the virus and the development of new tests, treatments and vaccines are dependent on the collection of and access to vast amounts of personal data. This includes clinical data, epidemiological data and public health data that may be collected from laboratories, medical records, wearables and smartphone apps. Previous public health emergencies (PHEs) have demonstrated the importance in making this data available, and early in the COVID-19 pandemic, there were calls for making all kinds of data, including clinical trial data, routine surveillance data, genetic sequencing, and data on the ongoing monitoring of disease control programmes, openly and rapidly available. As part of this, personal data on age, race, sex, health, ethnic group, and socioeconomic factors have been shared. This has helped led to the rapid development of COVID-19 interventions. It has also enabled the better understanding of factors contributing to difference in infection rates and effectiveness of tests, treatments, and vaccines. However, the use of this particularly sensitive data can infringe upon individual and group privacy, increase the risks of individual and group stigma and discrimination, and it may negatively impact already vulnerable, marginalised or minority populations. [...

Science with an ngVLA: Resolving the Radio Complexity of EXor and FUor-type Systems with the ngVLA

Episodic accretion may be a common occurrence in the evolution of young pre-main sequence stars and has important implications for our understanding of star and planet formation. Many fundamental aspects of what drives the accretion physics, however, are still unknown. The ngVLA will be a key tool in understanding the nature of these events. The high spatial resolution, broad spectral coverage, and unprecedented sensitivity will allow for the detailed analysis of outburst systems. The proposed frequency range of the ngVLA allows for observations of the gas, dust, and non-thermal emission from the star and disk.Comment: 8 pages, 1 figure, To be published in the ASP Monograph Series, "Science with a Next-Generation VLA", ed. E. J. Murphy (ASP, San Francisco, CA

Experimental Study On Plastic Waste As A Course Aggregate For Structural Concrete

The use of plastic is increasing day by day, although steps were taken to reduce its consumption. This creates substantial garbage every day which is much unhealthy. The suitability of recycled plastics as coarse aggregate in concrete and its advantages are discussed here. In this project, Plastic Coarse Aggregates (PCA) and steel fibers were used as replacement of Natural Coarse aggregate by different percentage of plastic aggregate for making concrete of M-25 grade, with w/c ratio 0.48. The study involves replacement of natural coarse aggregates by 0, 15 and 30 percentage of PCA. The steel fibers are used 1 to 3 percent by weight of cement. OPC-53 grade cement was used for making concrete. The waste plastic of HDPE (High density poly Ethylene) is collected from Agriculture waste, E-waste. The study also involves casting cube, beam and cylinder by using M-25 concrete with varying percentage of PCA and then testing compressive strength, flexural strength and Split tensile strength respectively. Also, from this study Optimum percentage replacement of natural aggregate by PCA was found out and that can be used in structural concrete

Foam mat drying characteristics of mango pulp.

Abstract Mango is widely preferred because of its excellent flavour and nutritional quality. Mango pulp fro m Dussehri variety was foam mat d ried using 0, 3, 5, 7, and 9% egg white as foaming agent and then dried at air dry ing temperature of 65, 75 and 85 o C. Weight loss was used to estimate change in mo iture ratio with respect to time and effective diffusivity. Seven thin layer drying models were fitted to get the best fit model, which was selected on the basis of various statistical parameters. Wang and Singh model was found to be best in almost all cases. Nutrit ional status in terms of total carotenes was estimated and it was observed that there was significant effect of drying temperatures and egg white concentration. Based on above parametres it was resolved that foam mat d rying using 3% egg white at 65 o C air dry ing temperature was the best combination