2023
Permanent URI for this collectionhttps://dl.bhu.ac.in/bhuir/handle/123456789/36735
Browse
Search Results
Now showing 1 - 10 of 2889
PublicationArticle Overview of Green Nanofabrication Technologies for Food Quality and Safety Applications(Taylor and Francis Ltd., 2023) Shikha Pandhi; Dipendra Kumar Mahato; Arvind KumarGreen nanotechnology has emerged as a sustainable fabrication technology that has offered tremendous frontiers in the field of food science. This review intends to provide a succinct overview of various green nanofabrication technologies including green creation of nanoparticles using biological sources explicitly from plants as natural reducing agents. In addition, the review explores various biocompatible nano delivery systems for nanoencapsulation of food ingredients for enhancing the sensorial and functional properties food products. Promising applications based on these approaches employing active and smart packaging systems, nanosensors along with functional foods for ensuring food quality and safety have been briefly outlined. Abbreviations: AgNPs: Silver nanoparticles; EOs: Essential Oils; Nm: Nanometer; NPs: Nanoparticles; NLC: Nanostructured lipid carrier; (O/W): Oil-in-water; NLC: Nanostructured lipid carrier; PHB: Poly (3-hydroxybutyrate); PVA: Polyvinyl alcohol; RFID: Radiofrequency identification; SARS: Severe Acute Respiratory Syndrome; SLN: Solid lipid nanoparticles; UV-Visible: Ultraviolet–visible; (W/O): Water-in-oil. © 2021 Taylor & Francis.PublicationArticle An insight into SARS-CoV-2 membrane protein interaction with spike, envelope, and nucleocapsid proteins(Taylor and Francis Ltd., 2023) Prateek Kumar; Amit Kumar; Neha Garg; Rajanish GiriIntraviral protein–protein interactions are crucial for replication, pathogenicity, and viral assembly. Among these, virus assembly is a critical step as it regulates the arrangements of viral structural proteins and helps in the encapsulation of genomic material. SARS-CoV-2 structural proteins play an essential role in the self-rearrangement, RNA encapsulation, and mature virus particle formation. In SARS-CoV, the membrane protein interacts with the envelope and spike protein in Endoplasmic Reticulum Golgi Intermediate Complex (ERGIC) to form an assembly in the lipid bilayer, followed by membrane-ribonucleoprotein (nucleocapsid) interaction. In this study, we tried to understand the interaction of membrane protein’s interaction with envelope, spike, and nucleocapsid proteins using protein–protein docking. Further, simulation studies were performed up to 100 ns to examine the stability of protein–protein complexes of Membrane-Envelope, Membrane-Spike, and Membrane-Nucleocapsid proteins. Prime MM-GBSA showed high binding energy calculations for the simulated structures than the docked complex. The interactions identified in our study will be of great importance, as it provides valuable insight into the protein–protein complex, which could be the potential drug targets for future studies. Communicated by Ramaswamy H. Sarma. © 2021 Informa UK Limited, trading as Taylor & Francis Group.PublicationArticle Green and blue light-dependent morphogenesis, decoupling of phycobilisomes and higher accumulation of reactive oxygen species and lipid contents in Synechococcus elongatus PCC 7942(Elsevier B.V., 2023) Pankaj K. Maurya; Soumila Mondal; Vinod Kumar; Shailendra P. SinghCyanobacteria are one of the emerging model systems for the sequestration of CO2 and sustainable production of bioenergy and chemicals. However, the spectral composition of light, which changes greatly in a dynamic light environment, could affect their fitness, growth and development. We studied the photobiology of the model cyanobacterium Synechococcus elongatus PCC 7942 using different lights such as white light (WL), red light (RL), green light (GL) and blue light (BL) to investigate the response of the organism to different wavelengths of photosynthetic active radiation. Results obtained suggested that S. elongatus PCC 7942 can not efficiently utilize green and blue wavelengths of light, and the two light colors compromised the fitness and growth of the organism by inducing high levels of reactive oxygen species (ROS). GL and BL, interestingly, increased the lipid content in the biomass and caused decoupling of phycobilisomes from the thylakoid membranes. We report light quality-dependent morphogenesis in S. elongatus PCC 7942 where GL and BL caused cell elongation while RL induced small cell morphology. Gene expression analysis suggested that GL and BL could regulate cell shape by altering the expression of cytoskeleton protein-encoding morphogenes. Thus, it is evident that the growth and fitness of S. elongatus PCC 7942 can be compromised in dense culture or at higher depths in the water column where GL and/or BL-enriched environment prevails. However, decreased fitness is offset by increased lipid content and elongated cellular morphology. © 2022 Elsevier B.V.PublicationArticle Evaluating combined effect of different coated urea with PGPR on yield and nitrogen use efficiency in lowland rice by regression model and principal component analysis approach(Taylor and Francis Ltd., 2023) Sachin Sharma; Ayush Bahuguna; Manoj Parihar; Janardan Yadav; Surendra SinghNitrogen (N) loss is a key problem in rice fields, which results in low nitrogen use efficiency (NUE) of applied N and could be a major limitation from economic and environmental perspectives. In order to improve the NUE, use of slow or controlled released N fertilizers could be a potential alternative to the conventional N inputs. With this objective to evaluate the effect of different slow-release fertilizers on NUE and grain yield of rice, a pot experiment was conducted during kharif 2017 at Department of Soil Science and Agricultural Chemistry, Institute of Agricultural Sciences, Banaras Hindu University Varanasi. The experiment comprised thirteen treatments including control, Polymer (PCU) and Neem coated urea (NCU) and their combination with Farm yard manure (FYM) and Plant growth promoting rhizobacteria (PGPR). The combined application of PCU, NCU, FYM and PGPR in treatment T12 provided highest grain yield 47.98 gpot−1and followed by T8 46.60 gpot−1. The result showed that, compared with the PCU treatment T2 (PCU100 Split), the Agronomic efficiency (AE) and Apparent nitrogen recovery efficiency (ANR%) of the mixed doses of coated urea treatment T12 (PCU50 NCU50 FYM10 PGPR Basal) increased by 20.38% and 28.48% respectively. Therefore, application of FYM and PGPR with coated urea improved rice yield, nutrient uptake and their use efficiency and potentially recommended in eastern plain of the Indo-Gangetic Plain for the sustainable production of rice crop. © 2022 Taylor & Francis Group, LLC.PublicationArticle Memory type ratio and product estimators under ranked-based sampling schemes(Taylor and Francis Ltd., 2023) Irfan Aslam; Muhammad Noor-ul-Amin; Muhammad Hanif; Prayas SharmaThe exponential weighted moving average (EWMA) statistic is utilized the past information along with the present to enhance the efficiency of the estimators used for estimating the population parameters. In this study, the EWMA statistic is used for the estimation of population mean with suitable auxiliary information. The memory type ratio and product estimators are proposed under ranked-based sampling (RBS) schemes including extreme ranked set sampling, median ranked set sampling, and quartile ranked set sampling. The expressions of mean square errors (MSE) of the proposed estimators are derived. An extensive simulation study is conducted to evaluate the performance of the proposed estimators. An empirical study is presented based on real-life data that supports the findings of the simulation study. © 2021 Taylor & Francis Group, LLC.PublicationArticle A deep learning computational approach for the classification of COVID-19 virus(Taylor and Francis Ltd., 2023) Rajarajeswari Perepi; K. Santhi; Pratik Chattopadhyay; Anwar Bég ODeep learning and transfer learning are being extensively adopted in biomedical, health and well-being related applications. As per worldwide agreement proclamation from the Fleischner Society, registered computer tomography is an applicable screening instrument owing to its higher efficiency in identifying early pneumonic changes since lung infection is a major manifestation of the covid 19 virus. Notwithstanding, doctors are still very involved battling COVID-19 in this period of overall emergency and new variants of the virus are emerging (delta, omicron) even after two years. Hence, it is urgent to speed up the advancement of AI consciousness indicative device to help doctors. Regardless of colossal endeavors, it remains extremely difficult to create a powerful model to aid the exact measurement appraisal of COVID-19 from the chest CT pictures. The idea of obscured limits, regulated division techniques generally experience the ill effects of explanation predispositions.Imagebased finding, it is envisaged will achieve significant improvements in more rapidly, effectively and accurately identifying Covid contamination in human beings. In this paper we have proposed CNN based multi-picture growth procedure for recognizing COVID-19 in CT scans of Covid speculated patients. We have proposed framework implements deep learning via multi-faceted CNN with high accuracy. © 2022 Informa UK Limited, trading as Taylor & Francis Group.PublicationArticle Variability of air quality and aerosol over Indian region during 2003–2012(Springer, 2023) Sanjay Kumar; Narendra Singh; R.P. Singh; Devendraa SiinghThe Indo-Gangetic basin is one of the biggest, most populated and polluted regions in the world. Satellite- and ground-based data show strong seasonal variability of aerosol loading with a maximum during pre-monsoon (summer) season. In this study, decadal (2003–2012) variability of aerosol optical depth (AOD) derived from AERONET measurements over Kanpur is presented which indicates maximum AOD during 2003 and minimum during 2012. The aerosol size distribution (ASD) exhibits an increase in the radius and a decrease in the width of distribution. It shows an enhancement during 2003 and 2010 and diminished values during 2004, 2007, 2009 and 2011. The ASD is found to show a peak during summer season (pre-monsoon) throughout 2003–2012 only except the years 2008 and 2011. Moreover, for years 2008 and 2011 ASD showed a peak value during a monsoon month (July). Changes in the spectrum of ASD are explained in terms of surface temperature and precipitation. Seasonal variation of aerosol radiative forcing and its climatic impacts have also been discussed. © 2022, Indian Association for the Cultivation of Science.PublicationArticle Forecasting of non-renewable and renewable energy production in India using optimized discrete grey model(Springer Science and Business Media Deutschland GmbH, 2023) Alok Kumar Pandey; Pawan Kumar Singh; Muhammad Nawaz; Amrendra Kumar KushwahaRenewable energy delivers reliable power supplies and fuel diversification, enhancing energy security and lowering fuel spill risk. Renewable energy also helps conserve the nation’s natural resources. Solar and other renewable energy sources have become increasingly prominent in recent years. India has achieved the 20 GW capacity solar energy production target before 2022. It is presently producing the lowest-cost solar power at the global level. Thermal energy has dominated the energy market. Countries have decided on energy generation from renewable sources and adopting green energy. This study forecasted non-renewable and renewable energy from multiple sources (hydropower, solar, wind and bioenergy) using grey forecasting model DGM (1,1,α). The comparative analyses with the classical models DGM (1,1) and EGM (1,1) revealed the superiority of the DGM (1,1,α). We also used CAGR for 2009–2019 to compare the actual and predicted data growth rate. The results show that non-renewable and renewable energy production is expected to increase. However, renewable energy generation wind sources continue to increase faster than hydropower, solar and bioenergy. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.PublicationArticle Optimization of Transmitter Semi-Angle and Ambient Noise Cancellation for Indoor Visible Light Communications(Greater Mekong Subregion Academic and Research Network, Asian Institute of Technology, 2023) Aanchal Verma; Amritanshu PandeyVisible light communication (VLC) is unquestionably a viable method for dealing with the ever-increasing traffic on wireless networks. Light-emitting diodes (LEDs), which are used for lighting, can be used to convey high-speed data. The optical power determines the indoor VLC link performance. A fundamental challenge in this regard is to design an optimized design of visible light communication with the uniform power distribution and minimize the interference of the ambient light in the daytime. The optimization of transmitter semi-angle and ambient noise cancellation for indoor visible light communications is discussed in this study. The study shows that lowering the semi-angle improves average received optical power while raising power fluctuations on the receiver's plane. In order to resolve this trade-off, we use a unique and simple optimization method for calculating the appropriate transmitter semi-angle that maximizes received power while reducing power variation around the room. By adjusting the number of LED panels and their placements on the plane of the transmitter, the best configuration based on the optimization function is selected. The effects of utilizing a differential optical receiver on SNR distribution in optimal VLC indoor configuration is discussed, which results in better SNR, and the ability to suppress ambient light and other atmospheric noise. © 2023. All Rights Reserved.PublicationArticle A survey of patients visiting an Ayurvedic teaching hospital for factors influencing the decision to choose ayurveda as a health care provider(Elsevier B.V., 2023) Sanjeev Rastogi; Vandana Tiwari; Swayam Prabha Jatav; Nilendra Singh; Sonam Verma; Sharmishtha Verma; Krishna Gopal Sharma; Preeti Pandey; Girish SinghStudy Background: In a pluralistic health care delivery model, it is important to assess whether the individual's health care choices are based upon evidences of efficacy and safety. Since the essence of medical pluralism lies in the fact that all such systems are equally accessible to a seeker, in such situation, it is highly relevant to check what defines such choices in real life. Objective: To identify the factors influencing the health care choices in a subpopulation seeking Ayurveda health care in an Ayurvedic teaching hospital. Materials and Method: The study was an all-inclusive cross sectional survey, done on randomly selected out patients visiting an Ayurveda teaching hospital. The data was collected using a 21 items questionnaire refined through pilot testing from 7.9.2017 to 30.9.2017. Results: The data of 289 respondents who have given their consent were included in statistical analysis. Out of 21 variables studied for their agreement or disagreement in the study population 8 were found to have a significant proportion in favour of agreement. Among these relative safety (Item 9); disease eradicating potential (Item 14); belief (Item 3) and indirect evidences of efficacy (Item 4) were found to have high significance (p < 0.001). Conclusion: Participants chose Ayurveda treatment due to its perceived safety and probability of helping in a particular clinical condition. Contrary to the common perception, enabling factors like availability, accessibility and affordability were given less importance by the participants in making health care choices related to Ayurveda. © 2021 The Authors