450 research outputs found
Smart Cities in India:A Bibliometric Analysis
Smart cities have attained global popularity in the last decade. The present study attempts to find the trends of smart city research in India by exploring existing literature on this theme. Year-wise, author-wise, citation-wise, affiliation-wise, keywords-wise, country-wise and source-wise listing of literature are the parameters to conduct present study. Bibliometric method on Scopus database is employed. The research focus was determined by keyword co-occurrence using VOSviewer.</p
Essential oils and their bioactive molecules in health care
Plants produce secondary metabolites such as essential oils, mainly as a defensive agent against pathogens. Essential oils, which are broadly classified as oxygenated compounds and hydrocarbons, are mostly concentrated in flowers, seeds, leaves, rhizomes, and barks of plants. Different techniques are used for extracting essential oils and the most commonly used one is hydrodistillation. More than 3000 essential oils have been extracted from 17,500 plants, and about 300 are commercially available in the flavour and fragrance markets. Depending upon the cultures of different countries, essential oils have been widely used in foods, cosmetics, perfumeries, feeds, beverages, aromatherapies, and pharmaceuticals. Various bioactivity screening studies showed that essential oils are good antimicrobial, anticancer, anti-oxidant, anti-plasmodial, antiparasitic, and anti-inflammatory agents. While essential oils have many health benefits, there is a need for in-depth phytochemical and pharmacological assessments
Variation of biomolecules in plant species
The variation of biomolecules from both primary and secondary metabolism is surveyed in plants including Moringa oleifera, Duboisia species, Cannabis sativa, Ficus racemosa, and species from Amaryllidaceae. The variation of primary and secondary metabolites may be caused by the difference in (1) between the species, (2) within a species, (3) growing locations and the environment, (4) processing and storage conditions, and (5) other factors including plant ages and parts and analytical methods. The variation is identified and quantified by a combination of spectrophotometry, spectroscopic techniques, mass spectrometry, chromatography, immunoassays, real-time polymerase chain reaction, electrophoresis, DNA and protein sequencing, gene ontology and bioinformatics tools. Variations in four major types of the primary metabolites (DNAs, proteins, carbohydrates, and lipids) and the secondary metabolites (alkaloids, terpenes, phenolics, and glycosides) are discussed in detail. It is clear that the current technologies of genomics, proteomics, metabolomics, and network analysis should be applied to exploit the variation in DNAs, proteins and secondary metabolites so superior plant species can be bred with better yield and targeted production of useful secondary metabolites for herbal healthcare. On the other hand, the variation of the complex herbal material and products is a challenge for quality control, standardization and regulation
Determination of the size of the dust torus in H0507+164 through optical and infrared monitoring
The time delay between flux variations in different wavelength bands can be used to probe the inner regions of active galactic nuclei (AGN). Here, we present the first measurements of the time delay between optical and near-infrared (NIR) flux variations in H0507+164, a nearby Seyfert 1.5 galaxy at z = 0.018. The observations in the optical V -band and NIR J, H and Ks bands carried over 35 epochs during the period October 2016 to April 2017 were used to estimate the inner radius of the dusty torus. From a careful reduction and analysis of the data using cross-correlation techniques, we found delayed responses of the J, H and Ks light curves to the V -band light curve. In the rest frame of the source, the lags between optical and NIR bands are found to be days (V vs. J), days (V vs. H) and days (V vs. K ). The lags between the optical and different NIR bands are thus consistent with each other. The measured lags indicate that the inner edge of dust torus is located at a distance of 0.029 pc from the central UV/optical AGN continuum. This is larger than the radius of the broad line region of this object determined from spectroscopic monitoring observations thereby supporting the unification model of AGN. The location of H0507+164 in the {\tau} - MV plane indicates that our results are in excellent agreement with the now known lag-luminosity scaling relationship for dust in AGN
Azine-Based Receptor for Recognition of Hg2+ Ion: Crystallographic Evidence and Imaging Application in Live Cells
A newly synthesized azine-based receptor (L) is found to show remarkable specificity toward the Hg(2+) ion in aqueous media over other metal ions. Coordination of L to Hg(2+) induces a detectable change in color and a turn-on fluorescence response. Restricted C=N isomerization of the azine moieties in the excited state as well as the Photoinduced Electron Transfer (PET) involving the lone pair of electrons of N(1)/N(2) on coordination of L to the Hg(2+) ion account for the turn-on fluorescence response. This reagent could be used for imaging the accumulation of Hg(2+) ions in Epithelial cell line KB 31 cells
Benzene fused monocyclic enediynyl amides: synthesis, reactivity and DNA-Cleavage activity in comparison to the corresponding sulfonamides
Monocyclic enediynyl amides 2a-2c have been synthesized via the corresponding free amine 5. Kinetic studies in chloroform revealed the reactivity of these amides towards Bergman cyclization to be less than that of the corresponding sulfonamides. However, differential scanning calorimetry (DSC) measurements in the solid state and DNA-cleavage studies in aqueous buffer showed higher reactivity for the amides than the sulphonamides
Digital twin for diabetes management using system dynamics simulation - The case of India
In an era where technology has transcended into every aspect of our lives, healthcare stands to benefit immensely. One such pioneering concept, the “Digital Twin (DT)”, creates a simulated (virtual) replica of physical entities, allowing real-time monitoring and analysis. The DT bridges the virtual and physical worlds by digitally displaying physical objects. This digital clone can receive real-time data from its physical counterpart, enabling monitoring, analysis, and even prediction of outcomes. Incorporating DT in diabetes management through System Dynamics simulation (SDS) opens an avenue for personalized healthcare, heralding a new chapter in chronic disease management. DT allows unprecedented understanding and control over complex policy systems through sophisticated simulations. Some of these policies are successful, while some are unsuccessful. An SDS enables the creation of a DT of policy scenarios. Supported by data, these DTs help make informed decisions, reducing the risk associated with policy implementation. The advent of DT for diabetes management through SDS presents a promising stride toward healthcare policy implementation. Through SDS, a DT for diabetes management is proposed for India. System Dynamics-based model helps a model builder create a replica of the public health ecosystem, which can be simulated to assess the effect of various policies. The study shows that there will be an increased burden of diabetes in India and, hence, demand for the healthcare infrastructure in India. The study shows that irrespective of the prevention measures, the number of people living with diabetes will rise linearly
Characterization of rock-fluid and fluid-fluid interactions in presence of a family of synthesized zwitterionic surfactants for application in enhanced oil recovery
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