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JOSHI, Santosh,UPRETI, Dalip K.,THANH, Nguyen Thi,NGUYEN, Anh Dong,HUR, Jae-Seoun Cambridge University Press 2017 The Lichenologist Vol.49 No.3
<B>Abstract</B><P>The lowland area of southern Vietnam contains a high diversity of corticolous, crustose lichens, particularly in the family <I>Graphidaceae</I>. Two species, <I>Acanthothecis verrucosa</I> S. Joshi, Upreti & Hur and <I>Graphis exuta</I> S. Joshi, Upreti & Hur, are described new to science. <I>Acanthothecis verrucosa</I> is characterized by a verrucose, olive green thallus containing irregular to shortly lirellate apothecia, hyaline to brownish proper exciple apically lined by robust periphysoids, muriform ascospores, 30-70 × 15-20 μm, and the presence of psoromic and subpsoromic acids. <I>Graphis exuta</I> is characterized by a smooth, greenish white thallus, simple lirellae lacking thalline margin, entire labia coarsely white pruinose towards slit, muriform ascospores, 20-35×10-13 μm, and norstictic acid in the thallus. A new name, <I>Acanthothecis yokdonensis</I> S. Joshi & Hur, is proposed here for the species <I>Acanthothecis salazinica</I> S. Joshi & Hur, a later homonym of <I>A. salazinica</I> van den Boom & Sipman. In addition, 34 species from Vietnam are newly reported. A world key to the group of <I>Graphis</I> species characterized by short, simple and sessile lirellae lacking or with basal thalline margins (<I>nuda</I>-morph) is presented.</P>
Evaluating Machine Learning-based Fatigue Detection System
Deepak Upreti,V. Thirunavukkarasu,S. Uma Mageswari,Gyanendra Prasad Joshi 한국디지털융합학회 2020 IJICTDC Vol.5 No.1
In this work, we implemented a fatigue detection system using machine learning and evaluated its performance. The proposed system is mainly based on the Viola-Jones face detection algorithm and the convolutional neural network (CNN). Viola-Jones object detection framework is mainly focused on the detection of the face and facial features. CNN is extended to DenseNets and made fully convolution to tackle the problem semantic image segmentation. The main idea behind the DenseNets is to capture the dense blocks that perform iterative concatenation of feature maps. The proposed system is implemented on many different video sequences and observed that its average accuracy is 99.18% and the detection rate is 99.71% out of approximately 100 image frames. The system shows high accuracy in segmentation, low error rate, and quick processing of input data distinguishes from the existing similar systems. Finally, if this system is implemented, it can minimize the number of accidents caused by drivers' fatigue.
Thermophoresis and suction/injection roles on free convective MHD flow of Ag–kerosene oil nanofluid
Himanshu Upreti,Alok Kumar Pandey,Manoj Kumar 한국CDE학회 2020 Journal of computational design and engineering Vol.7 No.3
In this article, themass and heat transfer flow of Ag–kerosene oil nanofluid over a cone under the effects of suction/injection, magnetic field, thermophoresis, Brownian diffusion, and Ohmic-viscous dissipation was examined. On applying the suitable transformation, PDEs directing the flow of nanofluid were molded to dimensionless ODEs. The solution of the reduced boundary value problem was accomplished by applying Runge–Kutta–Fehlberg method via shooting scheme and the upshots were sketched and interpreted. The values of shear stress and coefficients of heat and mass transfer were attained for some selected values of governing factors. The obtained results showed that when the amount of surface mass flux shifts from injection to the suction domain, the heat and mass transfer rate grew uniformly. However, they have regularly condensed with the rise in the magnitude of the magnetic field and particle volume fraction. Several researches have been done using cone-shaped geometry under the influence of various factors affecting the fluid flow, yet, there exists no such investigation that incorporated the response of viscous-Ohmic dissipation, heat absorption/generation, suction/blowing, Brownian diffusion, and thermophoresis on the hydro-magnetic flow of silver-kerosene oil nanofluid over a cone.
THE EFFECT OF REMITTANCES UPON SKILLED EMIGRATION: AN EMPIRICAL STUDY
DAMBAR UPRETY,KEVIN SYLWESTER 중앙대학교 경제연구소 2017 Journal of Economic Development Vol.42 No.2
This paper empirically examines whether remittance inflows affect emigration. We consider a panel of 133 developing countries as migrant source countries and seven five-year windows between 1980 and 2010. Because inflows of remittances could be endogenous, we employ a dynamic GMM estimation methodology. We find that inflows of remittances are positively associated with subsequent stocks of highly educated migrants living in OECD countries. We find little association between remittance inflows and subsequent changes in stocks of less educated migrants. Although many see the level of migration as influencing remittance flows, our results suggest that causality goes in the other direction as well, implying that the inflow of remittances could be a push-factor for emigration, at least for those with more education.
Blood-brain barrier dysfunction as a potential therapeutic target for neurodegenerative disorders
Ajay Uprety,Yeji Kang,김수영 대한약학회 2021 Archives of Pharmacal Research Vol.44 No.5
The blood-brain barrier (BBB) is composed ofspecifi c tight junction proteins and transporters expressed onthe lining of endothelial cells of the vasculature in the brain. The structural and functional integrity of the BBB is one ofthe most critical factors for maintaining brain homeostasisand is mainly regulated by complex interactions betweenvarious cell types, such as endothelial cells, pericytes, andastrocytes, which are shaped by their diff erential responsesto changes in microenvironments. Alterations in these cellularcomponents have been implicated in neurodegenerativedisorders. Although it has long been considered thatBBB dysfunction is a mere ramifi cation of pathologicalphenomena, emerging evidence supports its critical role inthe pathogenesis of various disorders. In epilepsy, heightenedBBB permeability has been found to be associated withincreased occurrence of spontaneous seizures. Additionally,exaggerated infl ammatory responses signifi cantly correlatewith increased BBB permeability during healthy aging. Furthermore,it has been previously reported that BBB disruptioncan be an early marker for predicting cognitive impairmentin the progression of Alzheimer’s disease. We hereinreview a potential role of the major cellular components ofthe BBB, with a focus on the contribution of BBB disruption,in neurodegenerative disease progression.