Genome-wide identification and characterization of Subtilisin-like Serine protease encoding genes in Vigna radiata L. Wilczek.

Subtilisin-like serine proteases (SBTs) are serine proteolytic enzymes that play various roles in plant growth, function and stress responses. Vigna glabrescens, a wild relative of mungbean known to be a potential donor of photo- and thermoperiod insensitivity, was characterized for thermotolerance through reproductive biology and gene expression profiling. Whole-genome sequencing of this species has not yet been performed; hence, genome-wide analysis of this species has not been explored.

Socio-ecological predictors of dengue in high incidence area of Delhi, India.

Despite the amplified vector-control measures, sporadic-epidemic outbreaks of dengue incidence occurred in Delhi, intermittently. This study aimed to identify the major individual, household, and community level predictors of dengue cases in the hot-spots of Delhi. Primary survey data was collected from the selected sample of 347 households, at the South- West district of Delhi.

Spray-freeze-drying as emerging and substantial quality enhancement technique in food industry.

Spray freeze drying is an emerging technology in the food industry with numerous applications. Its ability to preserve food quality, maintain nutritional value, and reduce bulk make it an attractive option to food manufacturers. Spray freeze drying can be used to reduce the water content of foods while preserving the shelf life and nutritional value.

Ultrasound-assisted extraction of phytochemicals from green coconut shell: Optimization by integrated artificial neural network and particle swarm technique.

This study employs artificial neural network (ANN) and particle swarm optimization (PSO) to maximize antioxidant and antimicrobial activity from green coconut shells. Phytochemical analysis was carried out on the extract obtained from ultrasound-assisted extraction performed at different combinations of time (10, 20, and 30 min), temperature (30, 35, and 40 ), and the ratio of solid-solvent (1:10, 1:20, and 1:30 g/ml). The presence of these bioactive compounds exhibits antimicrobial and antioxidant activities.

A retrospective study of environmental predictors of dengue in Delhi from 2015 to 2018 using the generalized linear model.

Dengue fever is a mosquito-borne infection with a rising trend, expected to increase further with the rise in global temperature. The study aimed to use the environmental and dengue data 2015-2018 to examine the seasonal variation and establish a probabilistic model of environmental predictors of dengue using the generalized linear model (GLM). In Delhi, dengue cases started emerging in the monsoon season, peaked in the post-monsoon, and thereafter, declined in early winter.

Temporal variation and geospatial clustering of dengue in Delhi, India 2015-2018.

Objectives: The study was focused on geographical mapping of dengue cases and also to identify the hotspots or high-risk areas of dengue in Delhi.

Design: A retrospective spatial-temporal (ecological) study. Descriptive analysis was used to know the distribution of dengue cases by age, sex, seasons and districts of Delhi.

Genome-wide identification and characterization of Lectin receptor-like kinase (LecRLK) genes in mungbean (Vigna radiata L. Wilczek).

Lectins are a diverse group of proteins found throughout plant species. Numerous lectins are involved in many important processes such as organogenesis, defense mechanism, signaling, and stress response. Although the mungbean whole genome sequence has been published, distribution, diversification, and gene structure of lectin genes in mungbean are still unknown.

Effective heart disease prediction system using data mining techniques.

The health care industries collect huge amounts of data that contain some hidden information, which is useful for making effective decisions. For providing appropriate results and making effective decisions on data, some advanced data mining techniques are used. In this study, an effective heart disease prediction system (EHDPS) is developed using neural network for predicting the risk level of heart disease.

Palladium(ii) complexes of N,N-diphenylacetamide based thio/selenoethers and flower shaped PdS and prismatic PdSe nano-particles tailored as catalysts for C-C and C-O coupling.

2-Bromo-N,N-diphenylacetamide (P1) prepared by reacting diphenylamine with α-bromoacetyl bromide, on treatment with NaS and NaSe generated in situ, has resulted in thio and selenoether ligands, L1 ((PhNCOCH)S) and L2 ((PhNCOCH)Se), respectively. Reacting these ligands with NaPdCl in ethanol at room temperature resulted in their complexes [Pd(L1/L2)Cl] (C1/C2). P1, L1, L2, C1 and C2 were characterized by H, C{H} and Se{H} NMR spectroscopy, IR spectroscopy and High resolution mass spectrometry (HR-MS).

Pharmacological Drug Delivery Strategies for Improved Therapeutic Effects: Recent Advances.

The latest pharmacologic research has resulted number of new molecules with the potential to modernize the prevention or treatment of different complex diseases, including cancer. The therapeutics generally include moieties such as proteins, drugs and genes, etc. Current activities in the pharmacological field include the development of novel drug-delivery systems to overcome pharmacokinetic glitches such as limited bioavailability, unwanted distribution, drug resistant, and stability, etc.