-
Article
Microbial diversity associated with the natural spring water of Western Himalayas
Springs in the Himalayan landscape are vital sources of potable water for millions of inhabitants who use it for domestic and farming purposes. The rise in urbanization, pilgrimage and various other anthropoge...
-
Article
Revealing bacterial and fungal communities of the untapped forest and alpine grassland zones of the Western-Himalayan region
The Western Himalayas offer diverse environments for investigating the diversity and distribution of microbial communities and their response to both the abiotic and biotic factors across the entire altitudina...
-
Article
Comparative analysis of bacterial diversity in accumulated snow and exposed sediments across Antarctic Islands
The Antarctic continent hosts exceptional niches, making it an ideal environment for studying polyextremophilic microorganisms. These organisms are uniquely shaped by the geographic niches and variations in so...
-
Article
Organic amendments modulate the crop yield and rhizospheric bacterial community diversity: a 3-year field study with Cajanus cajan
Excessive use of chemicals to enhance soil nutrient status and crop yield has resulted in a decline in soil health. Organic farming promotes organic amendments, which help to balance the ecosystem. Understandi...
-
Article
Endophytic fungi from Himalayan silver birch as potential source of plant growth enhancement and secondary metabolite production
Mountain biodiversity is under unparalleled pressure due to climate change, necessitating in-depth research on high-altitude plant’s microbial associations which are crucial for plant survival under stress con...
-
Article
Open AccessIn vitro antibacterial and anti-biofilm potential of an endophytic Schizophyllum commune
The emergence of antibiotic resistance in pathogens is one of the major health concerns facing mankind as different bacterial strains have developed resistance to antibiotics over the period of time due to ove...
-
Article
CRISPR/Cas-Mediated Genome Editing for Sugarcane Improvement
Sugarcane (Saccharum spp. hybrids) is among the significant industrial cash crops. It serves as an essential raw material to produce biofuels and the global sugar industry. Natural selection, conventional breedin...
-
Article
Open AccessAttention-based fusion of multiple graphheat networks for structural to functional brain map**
Over the last decade, there has been growing interest in learning the map** from structural connectivity (SC) to functional connectivity (FC) of the brain. The spontaneous fluctuations of the brain activity ...
-
Chapter and Conference Paper
Review of the Diabetic Retinopathy Prediction Model Based on the Enhanced VGH Algorithm
The most common disease in diabetic patients is diabetic retinopathy. It can cause eye blindness in people if it is not treated. The majority of people with type-1 and type-2 diabetes get DR as a consequence. ...
-
Chapter and Conference Paper
Assessing the Impact of Various Machine Learning Algorithms for Heart Disease Prediction
Heart disease is amongst the key contributors to increasing mortality globally. Heart diseases affect many people of middle or old age, causing adverse effects such as stroke and heart attack in many cases. Th...
-
Chapter and Conference Paper
MediSecure: A Blockchain-Enabled Ensemble Learning Approach for User-Controlled Single Sign-On and Privacy Preservation in Medical Cyber-Physical Systems
The authentication of users and devices is essential to the security of cyber-physical systems (CPS). But since various networks and devices are interconnected in CPS, they are vulnerable to cyberattacks, whic...
-
Article
Li**zhangella rawalii sp. nov., a novel halophile isolated from Sambhar Salt Lake, Rajasthan, India
A haloalkaliphilic actinobacterial strain LS1_29T, isolated from an inland hypersaline Sambhar Salt Lake, situated in Rajasthan, India, was subjected to taxonomic characterisation using the polyphasic approach. C...
-
Article
Himalayan flora: targeting various molecular pathways in lung cancer
The fatal amplification of lung cancer across the globe and the limitations of current treatment strategies emphasize the necessity for substitute therapeutics. The incorporation of phyto-derived components in...
-
Article
Open AccessSuccessful management of in-transit cutaneous squamous cell carcinoma with anti-PD-1 immunotherapy
This report describes the case of a 70-year-old man with metastatic squamous cell carcinoma (SCC) of the right lower leg. Soon after definitive surgical management of the primary and nodal metastases with cura...
-
Article
Examining the microbial composition of natural springs in Bhaderwah, Jammu and Kashmir, India
Natural springs are the main source of water supply for domestic and agricultural use for humans living in the mountainous regions of Asia. Increasing anthropogenic activities with associated waste load, coupl...
-
Article
Validating a semi-quantitative food frequency questionnaire to assess regional diet in a study of cancer in South West Nigeria
Cancer burden is rising rapidly in Nigeria, the most populous country in sub-Saharan Africa; this trend may in part be attributable to diet. We developed and validated a semi-quantitative food frequency questi...
-
Article
SHARP: Shape-Aware Reconstruction of People in Loose Clothing
Recent advancements in deep learning have enabled 3D human body reconstruction from a monocular image, which has broad applications in multiple domains. In this paper, we propose SHARP (SHape Aware Reconstruction...
-
Chapter and Conference Paper
A Deep Learning-Based InceptionResNet V2 Model for Cassava Leaf Disease Detection
A tropical root vegetable called cassava can make flour, bread, tapioca, and alcohol. After rice and maize, cassava ranks third among common food sources of carbohydrates. Over half a billion people in the dev...
-
Chapter and Conference Paper
Evaluation of Convolution Neural Network Models Using Clinical Datasets
Deep learning (DL) models learn high-level abstractions from input images. Because large-scale labelled datasets are accessible and convolutional neural network (CNN) classifier models have been shown to be th...
-
Chapter and Conference Paper
Evaluation of Machine Learning Techniques to Diagnose Polycystic Ovary Syndrome Using Kaggle Dataset
Polycystic ovary syndrome (PCOS) is a hormone-related condition with the highest prevalence. The symptoms of PCOS include abnormal menstrual cycles, an increase in body and facial hair growth, weight gain, ski...
