Effect on Pellicle Proteome upon Adsorption of Salivary Peptide on Hydroxyapatite and their effects on Enamel Demineralization

According to WHO, oral health is an important indicator of overall health. Poor oral health cause serious health problems (cardiovascular, stroke, diabetes, liver, and respiratory related), in different age groups, costing billions of dollars. So, proper oral health care management has assumed top priority. Salivary antimicrobial peptides (histatin and statherin), are part of enamel pellicle, required for the oral homeostasis. Current work focused to study the demineralization protection and pellicle proteome modulation capabilities of novel peptide constructs (single and tandem duplicate histatin constructs DR9, DR9-DR9 and histatin-statherin hybrid construct DR9-RR14). For the first time, we provided evidence that, these peptide constructs (low concentration) modulated the pellicle proteome composition as analyzed through nLC-MS. We showed that DR9, and DR9-DR9 provided enamel demineralization (Ca and PO4) protection in presence of parotid saliva pellicle. It is important work from the point-of-view of enamel protection and inhibition of pathological biofilm formation by novel salivary peptides and hence infection in the oral cavity

Evaluation of Famous Recommender Systems: A Comparative Analysis

In this era of the internet and with the easy availability of data at a very low cost, searching for information is growing at an exponential rate. So, it is now impossible to find the desired information without proper guidance. Here is the need of the recommendation system. The system will recommend which information relevant to the user according to their searching pattern. It will also explore hidden results with a minimal effect. The goal of this paper is to describe the famous recommendation systems which are used mostly and to explore what is the need of these kinds of systems and also what kind of technology has been used to provide better services to its users. Finally we would like to show how one recommendation system is different from another as per user need

Cryopreservation of oil palm pollen

Approximately 5 g of oil palm (Elaeis guineensis) pollen was stored in liquid nitrogen from March 1998 to April 2006. Pollen grains that were cryopreserved for up to 8 years retained as high as 54±1.72% viability (compared with 62±4.33% before storage) and 49±1.2% in vitro germinability (compared with 52±2.08% before storage). Results indicate the feasibility of cryogenically storing oil palm pollen for long periods without any significant loss in viability and germinability

Edge Computing in IoT: Vision and Challenges

The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. In this paper, we introduce the definition of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing. Finally, we present several challenges and opportunities in the field of edge computing, and hope this paper will gain attention from the community and inspire more research in this direction

Image Contrast Enhancement with Brightness Preserving Using Feed Forward Network

Image improvement techniques are very useful in our daily routine.In the field of image enhancement Histogram Equalization is a very powerful, effective and simple method. Histogram Equalization (HE) is a popular, simple, fast and effective technique for improving the gray image quality. Contrast enhancement was very popular method but it was not able to preserve the brightness of image. Image Dependent Brightness Preserving Histogram Equalization (IDBPHE) technique improve the contrast as well as preserve the brightness of a gray image. Image features Peak Signal to Noise Ratio (PSNR) and Absolute Mean Brightness Error (AMBE) are the parameters to measure the improvement in a gray image after applying the algorithm. Unsupervised learning algorithm is an important method to extract the features of neural network. We propose an algorithm in which we extract the features of an image by unsupervised learning. After apply unsupervised algorithm on the image the PSNR and AMBE features are improved

New Error Model of Entropy Encoding for Image Compression

Entropy coding provides the lossless compression of data symbols and is a critical component in signal compression algorithm. In our case we have designed a new model which reduces the Interpixel redundancy and have better results as compared to other models like lossless predictive code (LPC) and Differential pulse code modulation (DPCM). Our new proposed Scheme for Huffman coding will achieve higher compression as we have also reduce the standard deviation in the error image tremendously as compare to LPC and DPCM

Evaluating the Performance of Similarity Measures in Effective Web Information Retrieval

Information Retrieval (IR) manages recovering and showing data inside the WWW and online databases and furthermore looks through the web reports The quick development of site pages accessible on the Internet as of late, seeking applicable and coming data has turned into a pivotal issue. Data recovery is a standout amongst the most essential segments in web crawlers and their improvement would greatly affect enhancing the looking productivity because of dynamic nature of web it turns out to be much hard to discover applicable and late data. That is the reason an ever increasing number of individuals began to utilize centered crawler to get correct data in their uncommon fields today. The information retrieval field mainly deals with the grouping of similar documents to retrieve required information to the user from huge amount of data. The researchers proposed different types of similarity measures and models in information retrieval to determine the similarity between the texts and for document clustering. This research intends the study of genetic algorithm based information retrieval using similarity measures like cosine coefficient, jaccard coefficient, dice coefficient

Power Management in a Micro-grid Using Electric Vehicle

The batteries in electric vehicles (EVs) may play an important role in storing potential energy. They can return excess energy back to the grid. In this way, electric vehicle batteries help in power management. To bring this vision into the picture, the necessary framework and control strategy must be designed. This study presents a framework for setting up a vehicle to grid and grid to vehicle system  employing  fast charging of electric vehicles. A DC test system with a fast- charging platform for interfacing electric vehicles is designed. V2G-G2V power transfer is verified through simulation. The results of the tests reveal that EV batteries, operating in G2V-V2G modes, can actively regulate power in the micro-grid