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- 저자 : Choudhary (검색결과 160 건)
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Growth of Large-Scale and Thickness-Modulated MoS<sub>2</sub> Nanosheets
Choudhary, Nitin,Park, Juhong,Hwang, Jun Yeon,Choi, Wonbong American Chemical Society 2014 ACS APPLIED MATERIALS & INTERFACES Vol.6 No.23
<P>Two-dimensional MoS<SUB>2</SUB> is a promising material for next-generation electronic and optoelectronic devices due to its unique electrical and optical properties including the band gap modulation with film thickness. Although MoS<SUB>2</SUB> has shown excellent properties, wafer-scale production with layer control from single to few layers has yet to be demonstrated. The present study explored the large-scale and thickness-modulated growth of atomically thin MoS<SUB>2</SUB> on Si/SiO<SUB>2</SUB> substrates using a two-step sputtering–CVD method. Our process exhibited wafer-scale fabrication and successful thickness modulation of MoS<SUB>2</SUB> layers from monolayer (0.72 nm) to multilayer (12.69 nm) with high uniformity. Electrical measurements on MoS<SUB>2</SUB> field effect transistors (FETs) revealed a <I>p</I>-type semiconductor behavior with much higher field effect mobility and current on/off ratio as compared to previously reported CVD grown MoS<SUB>2</SUB>-FETs and amorphous silicon (a-Si) thin film transistors. Our results show that sputter–CVD is a viable method to synthesize large-area, high-quality, and layer-controlled MoS<SUB>2</SUB> that can be adapted in conventional Si-based microfabrication technology and future flexible, high-temperature, and radiation hard electronics/optoelectronics.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/aamick/2014/aamick.2014.6.issue-23/am506198b/production/images/medium/am-2014-06198b_0006.gif'></P>
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Role of Genetic Variants and Gene Expression in the Susceptibility and Severity of COVID-19
Choudhary Sarita,Sreenivasulu Karli,Mitra Prasenjit,Misra Sanjeev,Sharma Praveen 대한진단검사의학회 2021 Annals of Laboratory Medicine Vol.41 No.2
Since its first report in December 2019, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly emerged as a pandemic affecting nearly all countries worldwide. As the COVID-19 pandemic progresses, the need to identify genetic risk factors for susceptibility to this serious illness has emerged. Host genetic factors, along with other risk factors may help determine susceptibility to respiratory tract infections. It is hypothesized that the ACE2 gene, encoding angiotensin-converting enzyme 2 (ACE2), is a genetic risk factor for SARS-CoV-2 infection and is required by the virus to enter cells. Together with ACE2, transmembrane protease serine 2 (TMPRSS2) and dipeptidyl peptidase-4 (DPP4) also play an important role in disease severity. Evaluating the role of genetic variants in determining the direction of respiratory infections will help identify potential drug target candidates for further study in COVID-19 patients. We have summarized the latest reports demonstrating that ACE2 variants, their expression, and epigenetic factors may influence an individual’s susceptibility to SARS-CoV-2 infection and disease outcome.
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Effect of Leptin and IGFBP-3 Gene Polymorphisms on Serum IgG Level of Cattle Calves
Choudhary, Vivek,Kumar, Pushpendra,Saxena, V.K.,Bhattacharya, T.K.,Bhushan, Bharat,Sharma, Arjava,Ahmed, K.A. Asian Australasian Association of Animal Productio 2006 Animal Bioscience Vol.19 No.8
Leptin and IGFBP-3 are two proteins that play an important role in growth and metabolism of the animals. They are also involved in the immune function of animals and, thus, are candidate genes for the study of association with immune functions. Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) of these two genes was done to screen 64 crossbred (Holstein Friesian${\times}$Hariana) female calves of one year of age. From each RFLPs (fragments) three genotypes were observed. In all the RFLPs the mutant homozygotes were very less in numbers and, hence, were excluded from the least squares analysis. The serum IgG level was estimated using SRID assay. The mean level of serum IgG was $28.83{\pm}2.73mg/ml$. The effect of these identified genotypes on serum IgG level of calves at one year of age was analysed using least squares analysis. The HaeIII RFLP-AB genotype had significantly (p<0.05) higher serum IgG level ($31.86{\pm}3.05$) than the HaeIII RFLP-AA ($25.62{\pm}2.96$) genotype. There was no significant effect of leptin genotypes on the IgG level. The present results indicated a role of the IGFBP-3 gene on serum IgG level of cattle calves.
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Choudhary, Rakesh,Jain, Shalini Techno-Press 2021 Advances in nano research Vol.11 No.1
The paper presents the effects of temperature jump and concentration slip on inclined MHD bioconvection past a vertical porous plate via porous media. The authors have examined how the presence of both nanoparticles and gyrotactic microorganism impact the whole procedure. It is researched that the numerical scheme, called Runge-Kutta fourth fifth order Fehlberg method (RKF45) has been used to solve the governing partial differential equations. The equations are reduced into ordinary differential equations by using suitable similarity transformation. The effects of pertinent parameter for variation in the velocity profile, velocity profile at far field, temperature profile, concentration profile and motile microorganism density profile have been obtained. The results obtained from current study in the concluding part of the paper match to the pre researched data which validate the authenticity of the study.
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Choudhary, Gaurav,Sharma, Vishal,You, Ilsun Elsevier 2019 Computers & electrical engineering Vol.74 No.-
<P><B>Abstract</B></P> <P>Internet of Drones (IoD) involves cooperation and policing amongst Unmanned Aerial Vehicles (UAVs) based on waypoints generated through a series of algorithms. The dynamic reconfigurability of conveyances in IoD demands a secure trajectory and channel accessibility which is procurable through an efficient Medium Access Control (MAC) protocol. The majority of existing works considers the security of UAV-trajectories as a part of cryptographic and channel accessibility only, whereas the proposed approach idealizes link stability as one of the essential components for attaining secure trajectories. Furthermore, this paper proposes a deep neural network-based security framework, which embeds an efficient MAC protocol controlled by Macaulay’s duration. The proposed approach fortifies that an extensive control over links provides an adequate duration for enhancing the security aspects of IoD and launching countermeasures against any known cyber attacks.</P> <P><B>Highlights</B></P> <P> <UL> <LI> An efficient MAC model is proposed that supports effective timing generation and control over IoD. </LI> <LI> Sustainable and secure trajectories are generated by using deep neural networks. </LI> <LI> The proposed approach mitigates certain known attacks, such as coagulation attacks on UAVs. </LI> <LI> The proposed model dynamically computes the waypoints which eliminate any possibilities of collisions. </LI> </UL> </P>
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Choudhary, V.,Kothekar, M.D.,Raheja, K.L.,Kasturiwale, N.N.,Khire, D.W.,Kumar, P. Asian Australasian Association of Animal Productio 2003 Animal Bioscience Vol.16 No.5
The data on 283 Sahiwal cows, sired by 16 bulls, maintained at Cattle Breeding Farm of Nagpur Veterinary College and Dairy Farm of Agricultural College, Nagpur, were considered for the estimation of genetic parameters. Variance and covariance estimates of first lactation traits were obtained using restricted maximum likelihood technique (REML). When first lactation milk yield (FLMY), first lactation length (FLL) and average daily yield (ADY) traits were considered for REML analysis, the heritabilities were $0.184{\pm}0.146$, $0.132{\pm}0.131$ and $0.141{\pm}0.133$, respectively. While, genetic and phenotypic correlations between them were medium to high except phenotypic correlations between FLL and ADY (-0.025). REML procedure considering FLMY, age at first calving (AFC) and first service period (FSP) combination exhibits heritabilities as $0.274{\pm}0.173$, $0.506{\pm}0.233$ and $0.274{\pm}0.172$, respectively. Genetic correlations were $-0.120{\pm}0.376$, $0.225{\pm}0.423$ and $0.365{\pm}0.331$ between FLMY and AFC, FLMY and FSP, AFC and FSP, respectively. Phenotypic correlations were 0.057, 0.289 and 0.123, respectively. Considering all five traits REML combination heritabilities estimated were $0.238{\pm}0.162$, $0.160{\pm}0.139$, $0.136{\pm}0.132$, $0.409{\pm}0.209$ and $0.259{\pm}0.168$ for FLMY, FLL, ADY, AFC and FSP, respectively. The genetic correlations were positive except FLMY and AFC. The phenotypic correlations were also positive except FLL and ADY, ADY and FSP. Almost all estimates were associated with high standard error.
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Choudhary Swapnil,Upadhyay Ganesh,Patel Bharat,Naresh,Jain Mukesh 한국농업기계학회 2021 바이오시스템공학 Vol.46 No.4
Purpose To assess the operational energy requirement (OER) and tillage performance index (TPI) of four different active tillage treatments and identification of the best efficient tillage practice among them to achieve an alternative to the conventional practice T1 (1×Cultivator+2×Offset disc harrow), which involves only purely passive type of tillage tools. Methods The active tillage treatments considered were as follows: T2 (1×Combined offset disc harrow), T3 (1×Cultivator+ 1×Single rotor type rotavator), T4 (1×Double rotor type rotavator), and T5 (1×Power harrow). Each implement in the respective treatment was operated at their best suitable forward speed and rotor rpm. Results Compared to the conventional practice T1, the amount of fuel saved per hectare in tillage practices, T2, T4, and T5, was 49.8%, 17.9%, and 20.3%, respectively. However, tillage treatment T3 was found to consume 6.9% more fuel. Compared to T1, the amount of time saved by T2, T3, T4, and T5 tillage practices was found to be 61.1%, 9.54%, 40.6%, and 44.6%, respectively. The maximum OER of 1445.32 MJ ha−1 was observed in T3 followed by 1360.40, 1105.86, 1085.86, and 681.36 MJ ha−1 in T1, T4, T5, and T2, respectively. Further, compared to T1, the TPI for tillage treatments, T2 and T4, was found to be higher by 74.07% and 133.33%, respectively. However, the TPI for tillage treatment T3 was found to be lower by 88.88%. Conclusions Active tillage implements helped in time and fuel-saving in seedbed preparation. The maximum percentage of operational energy was consumed in the form of fuel energy. The front active and rear passive configuration of combined offset disc harrow was found to be the most effective among all the tested active tillage implements in terms of both operational energy and tillage performance criteria.
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