A5100607779- Spam and Phishing Detection
- Gut microbiota and health
- Child Nutrition and Water Access
- Cellular transport and secretion
- Network Security and Intrusion Detection
- Nutritional Studies and Diet
- Sentiment Analysis and Opinion Mining
- Retinal Development and Disorders
- Food Security and Health in Diverse Populations
- AI in Service Interactions
- Fibroblast Growth Factor Research
- Consumer Market Behavior and Pricing
- Systemic Lupus Erythematosus Research
- Text and Document Classification Technologies
- Glycosylation and Glycoproteins Research
- Epigenetics and DNA Methylation
- Lipid Membrane Structure and Behavior
- Metabolomics and Mass Spectrometry Studies
- Consumer Retail Behavior Studies
- Information Retrieval and Data Mining
- Microbial Community Ecology and Physiology
- Diabetes and associated disorders
- Recommender Systems and Techniques
- Pancreatic function and diabetes
- Face and Expression Recognition
Sanjay Gandhi Post Graduate Institute of Medical Sciences
2024
University of Lausanne
2024
Aditya Birla (India)
2024
Uttarakhand Technical University
2024
Chandigarh University
2023
Tata Consultancy Services (India)
2014-2018
Scripps Research Institute
2008
Malnutrition is a global health problem affecting more than 300 million pre-school children worldwide. It one of the major concerns in India since around 50% below age two suffer from various forms malnutrition. The gut microbiome plays an important role nutrient pre-processing, assimilation and energy harvest food. Consequently, dysbiosis microbiota has been implicated malnutrition.Metagenomics approach was adopted to investigate sampled 20 rural Indian with varying nutritional status....
Abstract Microbial association networks are frequently used for understanding and comparing community dynamics from microbiome datasets. Inferring microbial correlations such obtaining meaningful biological insights, however, requires a lengthy data management workflow, choice of appropriate methods, statistical computations, followed by different pipeline suitably visualizing, reporting the associations. The complexity is further increased with added dimension multi-group ‘meta-data’...
Factors like ethnicity, diet and age of an individual have been hypothesized to play a role in determining the makeup gut microbiome. In order investigate microbiome structure as well inter-microbial associations present therein, we performed comprehensive global comparative profiling (composition, relative heterogeneity diversity) networks microbiomes 399 individuals eight different nationalities.The study identified certain geography-specific trends with respect composition, intra-group...
Abstract Fibroblast growth factors (FGFs) are important regulators of the dynamic development and turnover tissues. Among FGF receptors, FGFR3 expression is confined in intestinal crypts. We examined FGFR3‐deficient mice saw increased crypt depth but no change villae length or distribution differentiated cells, suggesting that impact lack was limited to progenitor cell compartment. Accordingly, enhancement proliferation observed mutant interestingly, upon anti‐FGFR3 antibody administration...
Many microbiome studies employ reference-based operational taxonomic unit (OTU)-picking methods, which in general, rely on databases cataloguing reference OTUs identified through clustering full-length 16S rRNA genes. Given that the rate of accumulation mutations are not uniform throughout length a gene across different clades, results OTU identification or classification obtained using 'short-read' sequence queries (as generated by next-generation sequencing platforms) can be inconsistent...
It is possible to differentiate the behaviour between intentional and unintentional of sellers through surfing e-market. Thus, based on above views can be divided into two groups i.e. with intention selling other without selling.In this work we proposed model for probabilistic used upon HMM has ability predict seller in E-market. E-market broker site adopt method implement customize environment basis cognitive social features sellers. If buyer detects that advance E-commerce web which offer...
Aim: The aim of this study was to prepare Methotrexate and triherbal loaded topical emulgels for anti-arthritic activity. Methods: above sources are subjected soxhlation aqueous hydroalcoholic extracts the three will be prepared. prepared by proper maceration in suitable solvents required proportions. resultant extract converted into emulgel as follows: gel portion made dissolving carbopol-934 cold water with constant stirring at a moderate speed until uniform mixture is obtained. pH then...
Abstract Soluble N-ethylmaleimide-sensitive factor Attachment protein REceptor (SNARE) proteins catalyze the fusion process of vesicles with target membranes in eukaryotic cells. To do this, they assemble a zipper-like fashion into stable complexes between membranes. Structural studies have shown that consist four different helices, which we subdivide Qa-, Qb-, Qc-, and R-helix on basis their sequence signatures. Using combination biochemistry, modeling molecular dynamics, investigated how...
Soluble N-ethylmaleimide-sensitive factor Attachment protein REceptor (SNARE) proteins catalyze the fusion process of vesicles with target membranes in eukaryotic cells. To do this, they assemble a zipper-like fashion into stable complexes between membranes. Structural studies have shown that consist four different helices, which we subdivide Qa-, Qb-, Qc-, and R-helix on basis their sequence signatures. Using combination biochemistry, modeling molecular dynamics, investigated how types are...
Systemic Lupus Erythematosus (SLE) warrants an early diagnosis and prompt management. Delay in can result repeated flares, permanent damage, even death. There is a large variability the time taken to diagnose SLE across world. We undertook this study determine for of India identify factors associated.
This study presents a comparative analysis of intent classification performance using two widely used language models, GPT-Neo and GPT-2, in the context truncated consumer communications. Generative Pre-trained Transformer (GPT) is machine learning technique that has revolutionized field natural processing (NLP). GPT uses transformer-based neural network architecture pre-trained on large volumes data to generate highly accurate versatile NLP models capable performing various tasks, such as...
Email is a well-known and effectual technique of internet communication data to share messages. It employed as an electronic messaging platform send the However, increasing significance higher deployment emails lead maximize number spam emails. The predictive methods employ distinct phases predict email in which pre-processed, attributes are extracted classified. This work suggests new mechanism for predicting spam. employs Principal Component Analysis mitigate features. Thereafter, similar...
Recommender systems are techniques designed to produce personalized recommendations. Data sparsity, scalability cold start and quality of prediction some the problems faced by a recommender system. Traditional consider that all users independent identical, its an assumption which leads total ignorance social interactions trust among user. Trust relation ease work better In this paper, effective technique is proposed using factor extracted with help ratings given so can be improved...
Businesses generate receipts for their customers that include information such as the products purchased, cost, date and time of purchase, store id etc. After an online purchase item/s is made, a receipt often emailed to buyer's email address. For this evaluation, classified database with non-receipt emails was available. Previously, Machine Learning (ML) algorithms determining validity had been implemented on test database. The results showed Random Forest technique performed better than...