Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Cluster analysis & Wireless sensor network. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Exploring miRNA based approaches in cancer diagnostics and therapeutics.

Abstract: MicroRNAs (miRNAs), a highly conserved class of tissue specific, small non-protein coding RNAs maintain cell homeostasis by negative gene regulation. Proper controlling of miRNA expression is required for a balanced physiological environment, as these small molecules influence almost every genetic pathway from cell cycle checkpoint, cell proliferation to apoptosis, with a wide range of target genes. Deregulation in miRNAs expression correlates with various cancers by acting as tumor suppressors and oncogenes. Although promising therapies exist to control tumor development and progression, there is a lack of efficient diagnostic and therapeutic approaches for delineating various types of cancer. The molecularly different tumors can be differentiated by specific miRNA profiling as their phenotypic signatures, which can hence be exploited to surmount the diagnostic and therapeutic challenges. Present review discusses the involvement of miRNAs in oncogenesis with the analysis of patented research available on miRNAs.

Sentiment analysis of twitter data using machine learning approaches and semantic analysis

Abstract: The wide spread of World Wide Web has brought a new way of expressing the sentiments of individuals. It is also a medium with a huge amount of information where users can view the opinion of other users that are classified into different sentiment classes and are increasingly growing as a key factor in decision making. This paper contributes to the sentiment analysis for customers' review classification which is helpful to analyze the information in the form of the number of tweets where opinions are highly unstructured and are either positive or negative, or somewhere in between of these two. For this we first pre-processed the dataset, after that extracted the adjective from the dataset that have some meaning which is called feature vector, then selected the feature vector list and thereafter applied machine learning based classification algorithms namely: Naive Bayes, Maximum entropy and SVM along with the Semantic Orientation based WordNet which extracts synonyms and similarity for the content feature. Finally we measured the performance of classifier in terms of recall, precision and accuracy.

Nanomaterials in Food and Agriculture: An overview on their safety concerns and regulatory issues

Abstract: Nanotechnology has seen exponential growth in last decade due to its unique physicochemical properties; however, the risk associated with this emerging technology has withdrawn ample attention in the past decade. Nanotoxicity is majorly contributed to the small size and large surface area of nanomaterials, which allow easy dispersion and invasion of anatomical barriers in human body. Unique physio-chemical properties of nanoparticles make the investigation of their toxic consequences intricate and challenging. This makes it important to have an in-depth knowledge of different mechanisms involved in nanomaterials's action and toxicity. Nano-toxicity has various effects on human health and diseases as they can easily enter into the humans via different routes, mainly respiratory, dermal, and gastrointestinal routes. This also limits the use of nanomaterials as therapeutic and diagnostic tools. This review focuses on the nanomaterial-cell interactions leading to toxicological responses. Different mechanisms involved in nanoparticle-mediated toxicity with the main focus on oxidative stress, genotoxic, and carcinogenic potential has also been discussed. Different methods and techniques used for the characterization of nanomaterials in food and other biological matrices have also been discussed in detail. Nano-toxicity on different organs-with the major focus on the cardiac and respiratory system-have been discussed. Conclusively, the risk management of nanotoxicity is also summarized. This review provides a better understanding of the current scenario of the nanotoxicology, disease progression due to nanomaterials, and their use in the food industry and medical therapeutics. Briefly, the required rules, regulations, and the need of policy makers has been discussed critically.