Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
4,785
result(s) for
"Kumar, Ashish"
Sort by:
Artificial intelligence paradigms for smart cyber-physical systems
\"This book focuses upon the recent advances in the realization of Artificial Intelligence-based approaches towards affecting secure Cyber-Physical Systems. It features contributions pertaining to this multidisciplinary paradigm, in particular, in its application to building sustainable space by investigating state-of-art research issues, applications and achievements in the field of Computational Intelligence Paradigms for Cyber-Physical Systems\"-- Provided by publisher.
BOOK
The Interplay Between Viral-Derived miRNAs and Host Immunity During Infection
MicroRNAs are short non-coding RNAs that play a crucial role in the regulation of gene expression during cellular processes. The host-encoded miRNAs are known to modulate the antiviral defense during viral infection. In the last decade, multiple DNA and RNA viruses have been shown to produce miRNAs known as viral miRNAs (v-miRNAs) so as to evade the host immune response. In this review, we highlight the origin and biogenesis of viral miRNAs during the viral lifecycle. We also explore the role of viral miRNAs in immune evasion and hence in maintaining chronic infection and disease. Finally, we offer insights into the underexplored role of viral miRNAs as potential targets for developing therapeutics for treating complex viral diseases.
Journal Article
C-71980262, a novel small molecule against human papilloma virus-16 E6 (HPV-16 E6) with anticancer potency against cervical cancer: A computational guided in vitro approach
Human papillomavirus-16 E6 (HPV-16 E6) forms a heterodimer complex to up-regulate the degradation of tumor suppressor protein p53 to promote cervical cancer. This study aims to identify a novel small molecule against E6 with anticancer efficacy against HPV-16, a prime high-risk serotype inducer for cervical cancer.
Autodock-vina-based high-throughput virtual screening and atomistic molecular dynamic simulations were used for identification of targeted lead molecules. HPV-16 infected SiHa and CaSki cell lines were used to validate the lead compound in vitro. Proliferation of cancer cells was analyzed by MTT assay and flow cytometry was used to analyze target inhibition, apoptosis, and p53.
High throughput virtual screening and molecular dynamic simulation identified C-71980262 as a lead candidate that could bind HPV-E6. Atomistic molecular dynamic simulation of E6 bound C-71980262 for 200 ns showed that the predicted ligand binding was stable with minimal energy expenditure, proposing the viability and veracity of the assessed molecule. C-71980262 inhibited the proliferation of SiHa and CaSki cells with GI50 values of 355.70 nM and 505.90 nM, respectively. The compound reduced HPV-16 E6 while inducing early and late-phase apoptosis in these cells. Treatment with C-71980262 increased the p53-positive populations in SiHa and CaSki cells.
C-71980262 was identified as a novel lead molecule that could inhibit the HPV-16 E6 and increase p53 in cervical cancer cells. Further in vitro and in vivo validation is warranted to consolidate and corroborate this lead compound against HPV-induced cancer progression.
Journal Article
Toxic heavy metal ions contamination in water and their sustainable reduction by eco-friendly methods: isotherms, thermodynamics and kinetics study
Heavy metal ions can be introduced into the water through several point and non-point sources including leather industry, coal mining, agriculture activity and domestic waste. Regrettably, these toxic heavy metals may pose a threat to both humans and animals, particularly when they infiltrate water and soil. Heavy metal poisoning can lead to many health complications, such as liver and renal dysfunction, dermatological difficulties, and potentially even malignancies. To mitigate the risk of heavy metal ion exposure to humans and animals, it is imperative to extract them from places that have been polluted. Several conventional methods such as ion exchange, reverse osmosis, ultrafiltration, membrane filtration and chemical precipitation have been used for the removal of heavy metal ions. However, these methods have high operation costs and generate secondary pollutants during water treatment. Biosorption is an alternative approach to eliminating heavy metals from water that involves employing eco-friendly and cost-effective biomass. This review is focused on the heavy metal ions contamination in the water, biosorption methods for heavy metal removal and mathematical modeling to explain the behaviour of heavy metal adsorption. This review can be helpful to the researchers to design wastewater treatment plants for sustainable wastewater treatment.
Journal Article
Recent trends in nanostructured carbon-based electrochemical sensors for the detection and remediation of persistent toxic substances in real-time analysis
There are rising issues regarding the presence and discharge of emerging pollutants (EPs) in the ecosystem, including pharmaceutical waste, organic contaminants, heavy metals, pesticides, antibiotics and dyes. The human populace is typically exposed to a variety of EPs and toxins, such as those found in the soil, air, food supply, and drinkable water. Thus, creating new purification methods and effective pollution detection tools is a significant task. Several researchers globally have created unique analytical techniques including chromatography/mass and gaseous atomic absorption spectroscopy for the identification of contaminants to date. The aforementioned techniques have excellent sensitivity, but they are costly, time-consuming, costly, need sophisticated expertise to operate and are difficult to execute due to their enormous scale. Electrochemical sensors with resilience, specificity, sensibility, and real-time observations are thus been designed as a solution to the aforementioned shortcomings. The development of innovative systems to assures human and environmental protection has been aided by significant improvements in nanostructured carbon-based electrochemical sensor platforms. These platforms show enticing characteristics including excellent electrocatalytic operations, increased electrical conductance, and efficient surface region when compared to conventional methods. This paper intends to provide an analysis of low-cost nanostructured carbon-based electrochemical sensors from 2015 to 2022 that could detect and eradicate components of EPs from various origins. This review discusses the characteristics and uses of nanostructured carbon-based electrochemical sensors, which include carbon nanotubes, MXenes, carbon dots/graphene dots, graphene/graphene oxide, and other materials. These sensors are used to detect EPs such as heavy metal ions (Pb(II), Cd(II), Hg(II), etc), pharmaceutical waste, dyes and pesticides. Additionally, processing and characterization techniques, including differential-pulsed voltammograms, SW voltammograms, ultraviolet-visible spectroscopy, fluorescence, electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV) and scanning electron microscopy (SEM) are discussed in detail to examine the prospects of these carbon-based electrochemical sensors and associated detection mechanisms. It is intended that this analysis would stimulate the development of new detection methods for protecting public health and restoring the environment.
Journal Article
Effects of carbon nanotubes on expanded glass and silica aerogel based lightweight concrete
This study is aimed to investigate the effect of carbon nanotubes on the properties of lightweight aggregate concrete containing expanded glass and silica aerogel. Combinations of expanded glass (55%) and hydrophobic silica aerogel particles (45%) were used as lightweight aggregates. Carbon nanotubes were sonicated in the water with polycarboxylate superplasticizer by ultrasonication energy for 3 min. Study results show that incorporating multi-wall carbon nanotubes significantly influences the compressive strength and microstructural performance of aerogel based lightweight concrete. The addition of carbon nanotubes gained almost 41% improvement in compressive strength. SEM image of lightweight concrete shows a homogeneous dispersal of carbon nanotubes within the concrete structure. SEM image of the composite shows presence of C–S–H gel surrounding the carbon nanotubes, which confirms the cites of nanotubes for the higher growth of C–S–H gel. Besides, agglomeration of carbon nanotubes and the presence of ettringites was observed in the transition zone between the silica aerogel and cementitious materials. Additionally, flowability, water absorption, microscopy, X-ray powder diffraction, and semi-adiabatic calorimetry results were analyzed in this study.
Journal Article
