Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Item Type
      Item Type
      Clear All
      Item Type
  • Subject
      Subject
      Clear All
      Subject
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      More Filters
      Clear All
      More Filters
      Source
    • Language
708 result(s) for "Behera, P"
Sort by:
Sensitivity to sterile neutrino mixing using reactor antineutrinos
The reactor antineutrinos are used for the precise measurement of oscillation parameters in the 3-neutrino model, and also used to investigate active-sterile neutrino mixing sensitivity in the \\[3+1\\] neutrino framework. In the present work, we study the feasibility of sterile neutrino search with the indian scintillator matrix for reactor anti-neutrino (ISMRAN) experimental set-up using electron antineutrinos (\\[{\\overline{\\nu }}_e\\]) produced from reactor as a source. The so-called \\[3+1\\] scenario is considered for active-sterile neutrino mixing, which leads to projected exclusion curves in the sterile neutrino mass and mixing angle plane. The analysis is performed considering both the reactor and detector related parameters. It is found that, the ISMRAN set-up can observe the active-sterile neutrino mixing sensitivity for \\[\\sin ^{2}2\\theta _{14} \\ge 0.064\\] and \\[\\varDelta m^{2}_{41} = 1.0\\]\\[\\hbox {eV}^2\\] at \\[90\\%\\] confidence level for an exposure of 1 ton-year by using neutrinos produced from the DHRUVA reactor with thermal power of \\[100 \\hbox {MW}_{{th}}\\]. It is also observed that, there is a significant improvement of the active-sterile neutrino mixing parameter \\[\\sin ^{2}2\\theta _{14}\\] to \\[\\sim \\] 0.03 at the same \\[\\varDelta m^{2}_{41}\\] by putting the ISMRAN detector set-up at a distance of 20 m from the compact proto-type fast breeder reactor facility with thermal power of 1250 \\[\\hbox {MW}_{{th}}\\].
Cost-effective synthesis of 2D molybdenum disulfide (MoS2) nanocrystals: An exploration of the influence on cellular uptake, cytotoxicity, and bio-imaging
Ultrasmall MoS 2 nanocrystals have unique optoelectronic and catalytic properties that have acquired significant attraction in many areas. We propose here a simple and economical method for synthesizing the luminescent nanocrystals MoS 2 using the hydrothermal technique. In addition, the synthesized MoS 2 nanocrystals display photoluminescence that is tunable according to size. MoS 2 nanocrystals have many advantages, such as stable dispersion, low toxicity and luminescent characteristics, offering their encouraging applicability in biomedical disciplines. In this study, human lung cancer epithelial cells (A549) are used to assess fluorescence imaging of MoS 2 nanocrystals. MTT assay, trypan blue assay, flow cytometry and fluorescence imaging results have shown that MoS 2 nanocrystals can selectively target and destroy lung cancer cells, especially drug-resistant cells (A549).
Crucial Cell Signaling Compounds Crosstalk and Integrative Multi-Omics Techniques for Salinity Stress Tolerance in Plants
In the era of rapid climate change, abiotic stresses are the primary cause for yield gap in major agricultural crops. Among them, salinity is considered a calamitous stress due to its global distribution and consequences. Salinity affects plant processes and growth by imposing osmotic stress and destroys ionic and redox signaling. It also affects phytohormone homeostasis, which leads to oxidative stress and eventually imbalances metabolic activity. In this situation, signaling compound crosstalk such as gasotransmitters [nitric oxide (NO), hydrogen sulfide (H 2 S), hydrogen peroxide (H 2 O 2 ), calcium (Ca), reactive oxygen species (ROS)] and plant growth regulators (auxin, ethylene, abscisic acid, and salicylic acid) have a decisive role in regulating plant stress signaling and administer unfavorable circumstances including salinity stress. Moreover, recent significant progress in omics techniques (transcriptomics, genomics, proteomics, and metabolomics) have helped to reinforce the deep understanding of molecular insight in multiple stress tolerance. Currently, there is very little information on gasotransmitters and plant growth regulator crosstalk and inadequacy of information regarding the integration of multi-omics technology during salinity stress. Therefore, there is an urgent need to understand the crucial cell signaling crosstalk mechanisms and integrative multi-omics techniques to provide a more direct approach for salinity stress tolerance. To address the above-mentioned words, this review covers the common mechanisms of signaling compounds and role of different signaling crosstalk under salinity stress tolerance. Thereafter, we mention the integration of different omics technology and compile recent information with respect to salinity stress tolerance.
Dysregulation of histone deacetylases in carcinogenesis and tumor progression: a possible link to apoptosis and autophagy
Dysregulation of the epigenome and constitutional epimutation lead to aberrant expression of the genes, which regulate cancer initiation and progression. Histone deacetylases (HDACs), which are highly conserved in yeast to humans, are known to regulate numerous proteins involved in the transcriptional regulation of chromatin structures, apoptosis, autophagy, and mitophagy. In addition, a non-permissive chromatin conformation is created by HDACs, preventing the transcription of the genes encoding the proteins associated with tumorigenesis. Recently, an expanding perspective has been reported from the clinical trials with HDACis (HDAC inhibitors), which has emerged as a determining target for the study of the detailed mechanisms underlying cancer progression. Therefore, the present review focuses on the comprehensive lucubration of post-translational modifications and the molecular mechanisms through which HDACs alter the ambiguities associated with epigenome, with particular insights into the initiation, progression, and regulation of cancer.
Mapping and visualizing the research contribution of India on telemedicine: A scientometric study
Background: The term \"Telemedicine\" is being used in the medical and health sector to treat patients and to provide medical guidance remotely. The intellectual output from India in terms of publications was harvested from Scopus® with the keyword \"Telemedicine\" and analyzed by using bibliometric techniques. Methods: The source data was downloaded from the Scopus® database. All the publications on telemedicine and indexed in the database up to the year 2021 were considered for scientometric analysis. The software tools VOSviewer® version 1.6.18 to visualize bibliometric networks, statistical software R Studio® version 3.6.1 with the Bibliometrix package Biblioshiny® were used for analysis and data visualization, and EdrawMind® was used for mind mapping. Result: India contributed 2,391 (4.32%) publications on telemedicine to a total of 55,304 publications worldwide until 2021. There were 886 (37.05%) papers that appeared in open access mode. The analysis revealed that the first paper was published in the year 1995 from India. Steep growth in the number of publications was observed in 2020 with 458 publications. The highest, 54 research publications, appeared in the \"Journal of Medical Systems.\" The All India Institute of Medical Sciences (AIIMS), New Delhi, contributed the highest number of publications (n = 134). A considerable overseas collaboration was observed (USA: 11%; UK: 5.85%). Conclusions: This is the first such attempt to address the intellectual output of India in the emerging medical discipline of telemedicine and has yielded useful information such as leading authors, institutions, their impact, and year-wise topic trends.
Studying land use dynamics using decadal satellite images and Dyna-CLUE model in the Mahanadi River basin, India
Population growth rate indicates the proportional rate of settlement expansion and landscape modification in any river basin. The Mahanadi River basin (MRB), which is a densely populated, cropland and forest-dominated landscape, is selected as a case study area for studying the nature of built-up expansion and the corresponding land cover modifications. Satellite data-derived land use/land cover (LU/LC) maps for the years 1995, 2005, and 2015 were used for identification of landscape changes during the past three decades. One of the major LU/LC changes are observed in terms of increase in the water, which may be attributed to construction of new dams at the cost of the croplands and forest areas. Conversion of forest to cropland and expansion and densification of built-up areas in and around the existing built-up areas are also identified as a major LU/LC change. The geostatistical analysis was performed to identify the relationship between LU/LC classes with drivers, which showed that built-up areas were more in topographically flat terrain with higher soil depth, and expanded more around the existing built-up areas; cropland areas were more at lower elevation and less sloppy terrain, and forest areas were more at higher elevation. The LU/LC scenario of 2025 was projected using a spatially explicit dynamic conversion of land use and its effects (Dyna-CLUE) modeling platform with the LU/LC change trends of past 10 years (2005–2015) and 20 years (1995–2015). The major LU/LC changes observed during 2005–2015 were built-up expansion by 36.53% and deciduous forest and cropland reduction by 0.35% and 0.45%, respectively. Thus, the corresponding predicted change during 2015–2025 estimated built-up expansion by 25.70% and deciduous forest and croplands loss by 0.43% and 0.35%, respectively. On the other hand, during 1995 to 2015, the total built-up expansion and deciduous forest and cropland reduction were observed 50.79%, 0.45%, and 0.73%, respectively. Thus, the predicted changes during 2015–2025 were estimated as 18.48% built-up expansion and 0.22% and 0.21% deciduous forest and cropland loss. However, with the conditions of restricted deforestation and less landscape modification, the LU/LC projections show less built-up area expansion, reducing the cropland, fallow land, plantation, and waste land. The reduced numbers of land cover conversions types during 2005–2015 compared with 1995–2005 indicate more stabilized landscape. The input LU/LC maps and statistical analysis demonstrated the landscape modifications and causes observed in the basin. The model projected LU/LC maps are giving insights to possible changes under multiple pathways, which will help the agriculture, forest, urban, and water resource planners and managers in improved policy-making processes.
Nearest-neighbor NMR spectroscopy: categorizing spectral peaks by their adjacent nuclei
Methyl-NMR enables atomic-resolution studies of structure and dynamics of large proteins in solution. However, resonance assignment remains challenging. The problem is to combine existing structural informational with sparse distance restraints and search for the most compatible assignment among the permutations. Prior classification of peaks as either from isoleucine, leucine, or valine reduces the search space by many orders of magnitude. However, this is hindered by overlapped leucine and valine frequencies. In contrast, the nearest-neighbor nuclei, coupled to the methyl carbons, resonate in distinct frequency bands. Here, we develop a framework to imprint additional information about passively coupled resonances onto the observed peaks. This depends on simultaneously orchestrating closely spaced bands of resonances along different magnetization trajectories, using principles from control theory. For methyl-NMR, the method is implemented as a modification to the standard fingerprint spectrum (the 2D-HMQC). The amino acid type is immediately apparent in the fingerprint spectrum. There is no additional relaxation loss or an increase in experimental time. The method is validated on biologically relevant proteins. The idea of generating new spectral information using passive, adjacent resonances is applicable to other contexts in NMR spectroscopy. The structure and dynamics of large proteins and complexes can be studied by methyl-NMR but resonance assignment is still challenging. Here, the authors present a NMR method that leverages optimal control pulse design to unambiguously distinguish between Leu and Val using a simple 2D HMQC experiment and they apply it to several proteins including Cas9, interleukin, and human translation initiation factor eIF4a.
Influence Of Dewaxing on Mechanical properties of kapok fiber-reinforced polymer composite
The low density, lightweight, easy processing and biodegradability nature of Natural fiber-reinforced polymer composite have gained enough attention from many researchers and scientists. Kapok Fiber ( Ceiba pentandra ) is a natural cellulosic fiber have a hollow microtubular structure and a high degree of hollowness. The hand lay-up technique has been adopted for kapok fiber-reinforced epoxy polymer composite fabrication with different fiber loading(2, 3, 4, 5, 6 and 7 wt %). The mechanical strength of kapok fiber-reinforced polymer epoxy composite is investigated through the flexural and tensile test. The best flexural and tensile performance is observed at 5 wt% loading of kapok fiber. To increase compatibility between fiber and epoxy matrix dewaxing process is adopted. The effect of dewaxing on cellulose crystallinity, crystallinity size, surface morphology, elemental composition and functional groups of fiber are studied. The roughness of the fiber surface increases after dewaxing due to the partial removal of non-cellulosic compounds like lignin, pectin, wax and some oily substances. The increase in fiber surface roughness and cellulose crystallinity index by chemical treatment made a strong interlocking at the fiber-matrix interface. The effect of dewaxing on mechanical strength is also studied to fabricate the composite for the benefit of society.
Hydrogen Plasma Smelting Reduction of Fe2O3
The paper reports successful smelting reduction of iron ore (hematite) in thermal hydrogen plasma. A specially designed reactor with water cooled copper crucible and a plasma torch was used to demonstrate the process in 1-kg scale. The number of stoichiometric requirement of hydrogen is a better parameter, instead of time, for determining the rate of the process. This parameter, along with the degree of reduction, is also helpful to determine the degree of hydrogen utilization. The ratio of the height of the molten bath to the diameter of the reactor is found to be an important parameter for effective hydrodynamics and the resultant degree of reduction. This is also an important parameter for scaling up of the process.
Search for the sterile neutrino mixing with the ICAL detector at INO
The study has been carried out on the prospects of probing the sterile neutrino mixing with the magnetized iron calorimeter (ICAL) at the India-based Neutrino Observatory (INO), using atmospheric neutrinos as a source. The so-called 3  +  1 scenario is considered for active–sterile neutrino mixing and lead to projected exclusion curves in the sterile neutrino mass and mixing angle plane. The analysis is performed using the neutrino event generator NUANCE, modified for ICAL, and folded with the detector resolutions obtained by the INO collaboration from a full GEANT4-based detector simulation. A comparison has been made between the results obtained from the analysis considering only the energy and zenith angle of the muon and combined with the hadron energy due to the neutrino induced event. A small improvement has been observed with the addition of the hadron information to the muon. In the analysis we consider neutrinos coming from all zenith angles and the Earth matter effects are also included. The inclusion of events from all zenith angles improves the sensitivity to sterile neutrino mixing by about 35 % over the result obtained using only down-going events. The improvement mainly stems from the impact of Earth matter effects on active–sterile mixing. The expected precision of ICAL on the active–sterile mixing is explored and the allowed confidence level (C.L.) contours presented. At the assumed true value of 10 ∘ for the sterile mixing angles and marginalization over Δ m 41 2 and the sterile mixing angles, the upper bound at 90% C.L. (from two-parameter plots) is around 20 ∘ for θ 14 and θ 34 , and about 12 ∘ for θ 24 .