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Masseter Vestibular evoked myogenic potentials: A new tool to assess the vestibulomasseteric reflex pathway

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Journal of Otology 2024年第1期19卷 46-54页

作者： Aishwarya Nagarajan sujeet kumar Sinha Department of Audiology AIISHMysore06India

Purpose: This review article provides the readers with an in-depth insight in understanding and interpreting various research literatures on the masseter vestibular evoked myogenic potentials(mVEMP). The article also reviews the contemporary researches involving the clinical applications of the mVEMP. Conclusions: Masseter VEMP is an evolving yet clinically promising neuro-otology test tool that has recently gained more research interest and is considered an additional tool to diagnose various vestibular disorders. Masseter VEMP assesses the functional integrity of the acoustic-masseteric and vestibulo-masseteric reflex pathways. The mVEMP could be used as a complementary test to evaluate the same peripheral generator as the cervical VEMP but a different central pathway i.e., vestibulo-trigeminal pathway. Various research studies that have experimented on parameters such as the effect of different electrode montages(zygomatic vs mandibular configurations), stimulation rates, filter settings and stimuli used to evoke mVEMP have been discussed in this article that could assist in the optimization of a comprehensive clinical protocol. The latency and the amplitude of mVEMP waveforms serve as significant parameters in differentiating normals from those of the clinical populations. Along with the cVEMPs and oVEMPs, mVEMP might help diagnose brainstem lesions in REM Sleep behaviour disorders, Multiple Sclerosis and Parkinson's disease. However, further studies are required to probe in this area of research.

关键词： Masseter vestibular evoked myogenic potentials(mVEMP) Vestibulo-masseteric pathway Acoustic-masseteric pathway

Optimizing Biodiesel Production from Karanja and Algae Oil with Nano Catalyst:RSMand ANN Approach

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Energy Engineering 2024年第9期121卷 2363-2388页

作者： sujeet Kesharvani Sakhi Katre Suyasha Pandey Gaurav Dwivedi Tikendra Nath Verma Prashant Baredar Energy Centre Maulana Azad National Institute of TechnologyBhopal462003India Department of Mechanical Engineering Maulana Azad National Institute of TechnologyBhopal462003India

This study delves into biodiesel synthesis from non-edible oils and algae oil sources using Response Surface Methodology(RSM)and an Artificial Neural Network(ANN)model to optimize biodiesel *** of *** and Karanja oils is utilized,aiming to reduce free fatty acid content to 1%through single-step *** reveals peak biodiesel yield conditions:1%catalyst quantity,91.47 min reaction time,56.86℃reaction temperature,and 8.46:1 methanol to oil molar *** ANN model outperforms RSM in yield prediction *** impact assessment yields an E-factor of 0.0251 at maximum yield,indicating responsible production with minimal *** analysis reveals significant cost savings:30%-50%reduction in raw material costs by using non-edible oils,10%-15%increase in production efficiency,20%reduction in catalyst costs,and 15%-20%savings in energy *** optimized process reduces waste disposal costs by 10%-15%,enhancing overall economic ***,the widespread adoption of biodiesel offers economic,environmental,and social benefits to a diverse range of stakeholders,including farmers,producers,consumers,governments,environmental organizations,and the transportation *** among these stakeholders is essential for realizing the full potential of biodiesel as a sustainable energy solution.

关键词： Non-edible oil algae RSM ANN optimization environmental factor

Current insights on haemorrhagic complications in percutaneous nephrolithotomy

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Asian Journal of Urology 2022年第1期9卷 81-93页

作者： sujeet Poudyal Department of Urology and Kidney Transplant Surgery Tribhuvan University Teaching HospitalKathmanduNepal

Objective:Percutaneous nephrolithotomy(PCNL)is the standard procedure for the management of large and complex renal *** loss during PCNL may occur during puncture,tract dilatation,and stone ***,despite recent advances in PCNL,haemorrhagic complication still *** study aims to enlighten on various aspects of haemorrhagic complication in PCNL,mainly focusing on risk factors and management of this dreadful ***:Literature search for the study was carried out using advanced search engines like PubMed,Cochrane,and Google Scholar,combining keyword“percutaneous lithotomy”with other keywords like“bleeding”,“haemorrhage”,“complications”,“stone scoring systems”,“mini-PCNL ***”,“dilatation techniques”,“supine ***”,“USG-guided”,“endoscopic combined intra-renal surgery”,“papillary ***-papillary puncture”,“bilateral”,and“angioembolization”.The articles published between January 1995 and September 2020 were included for the ***:A total of 3670 articles published from January 1995 to September 2020 were screened for the *** not consistent,multiple studies have described various preoperative and intraoperative risk factors related to significant bleeding in *** of these risk factors help urologists to anticipate and promptly manage haemorrhagic complications associated with the procedure.A conservative approach suffices to control bleeding in most cases;nevertheless,bleeding can be life-threatening and few still need surgical intervention in the form of angiographic embolisation or open surgical ***:As hemorrhagic complication in PCNL is associated with considerable morbidity and mortality,prudent intraoperative decision and postoperative care are necessary for its timely prevention,detection,and management.

关键词： Percutaneous nephrolithotomy Bleeding Embolisation Renal stone Puncture

Organo-Petrographic and Pore Facets of Permian Shale Beds of Jharia Basin with Implications to Shale Gas Reservoir

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Journal of Earth Science 2017年第5期28卷 897-916页

作者： Vinod Atmaram Mendhe Subhashree Mishra Ranjit G.Khangar Alka Damodhar Kamble Durgesh kumar Atul kumar Varma H.Singh sujeet kumar Mollika Bannerjee CSIR-Central Institute of Mining and Fuel Research GSI-Geological Survey of India Central Region IIT (ISM)-Department of Chemical Engineering Indian Institute of Technology (ISM) IIT (ISM)-Department of Applied Geology Indian Institute of Technology (ISM)

The shale deposits of Damodar Valley have received great attention since preliminary studies indicate their potential for shale gas. However, fundamental information allied to shale gas re- servoir characteristics are still rare in India, as exploration is in the primary stage. In this study, Ba- rakar shale beds of eastern part of Jharia Basin are evaluated for gas reservoir characteristics. It is evident that Barakar shales are carbonaceous, silty, contains sub-angular flecks of quartz and mica, irregular hair-line fractures and showing lithological variations along the bedding planes, signifying terrestrial-fluviatile deposits under reducing environment. The values of TOC varies from 1.21 wt.% to 17.32 wt.%, indicating good source rock potentiality. The vitrinite, liptinite, inertinite and mineral matter ranging from 0.28 vol.% to 12.98 vol.%, 0.17 vol.% to 3.23 vol.%, 0.23 vol.% to 9.05 vol.%, and 74.74 vol.% to 99.10 vol.%, respectively. The ternary facies plot of maceral composition substan- tiated that Barakar shales are vitrinite rich and placed in the thermal-dry gas prone region. The low values of the surface area determined following different methods point towards low methane storage capacity, this is because of diagenesis and alterations of potash feldspar responsible for pore blocking effect. The pore size distribution signifying the micro to mesoporous nature, while Type II sorption curve with the H2 type of hysteresis pattern, specifies the heterogeneity in pore structure mainly combined-slit and bottle neck pores.

关键词： shale gas petrographic composition surface area pore disposition pore volume.

Adansonia digitata L.(baobab):a review of traditional information and taxonomic description

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Asian Pacific Journal of Tropical Biomedicine 2015年第1期5卷 79-84页

作者： Jitin Rahul Manish kumar Jain Shishu Pal Singh Rakesh Kant Kama Anuradha Aliya Naz Anup kumar Gupta sujeet kumar Mrityunjay Centre of Mining Environment Department of Environmental Science&EngineeringIndian School of Mines Department of Botany Dayanand Brajendra Swarup College Centre of Mining Environment Department of Environmental Science&EngineeringIndian School of MinesDhanbad-826004JharkhandIndia

Adansonia digitata L.(Malvaceae) is commonly known as baobab tree native to *** is a multi-purpose tree which offers protection and provides food,clothing and medicine as well as raw material for many useful *** fruit pulp,seeds,leaves,***,and bark of baobab are edible and they have been studied by scientists for their useful *** fruit pulp have very high vitamin ***,phosphorus,carbohydrates,fibers,potassium,proteins and lipids content,which can be used in seasoning as an appetizer and also make *** contain appreciable quantities of phosphorus,magnesium,zinc,sodium,iron,manganese,whereas they have high levels of lysine,thiamine,calcium and *** has numerous biological properties including antimicrobial,anti-malarial,diarrhoea,anaemia,asthma,antiviral,anti-oxidant and anti-inflammatory activities amongst *** investigation revealed the presence of *** acids,fatty acids,vitamins and *** review summarizes the information on various aspects of traditional information,taxonomic description,medicinal properties and importantly nutritional value.

关键词： Adansonia digitata Baobab Traditional information Taxonomic description

Denoising Medical Images Using Deep Learning in IoT Environment

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Computers, Materials & Continua 2021年第12期69卷 3127-3143页

作者： sujeet More Jimmy Singla Oh-Young Song Usman Tariq Sharaf Malebary School of Computer Science and Engineering Lovely Professional UniversityJalandharIndia Software Department Sejong UniversitySeoulKorea College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Information Technology Faculty of Computing and Information Technology in RabighKing Abdulaziz UniversityJeddah21911Saudi Arabia

Medical Resonance Imaging(MRI)is a noninvasive,nonradioactive,and meticulous diagnostic modality capability in the field of medical ***,the efficiency of MR image reconstruction is affected by its bulky image sets and slow process ***,to obtain a high-quality reconstructed image we presented a sparse aware noise removal technique that uses convolution neural network(SANR_CNN)for eliminating noise and improving the MR image reconstruction *** proposed noise removal or denoising technique adopts a fast CNN architecture that aids in training larger datasets with improved quality,and SARN algorithm is used for building a dictionary learning technique for denoising large image *** proposed SANR_CNN model also preserves the details and edges in the image during *** experiment was conducted to analyze the performance of SANR_CNN in a few existing models in regard with peak signal-to-noise ratio(PSNR),structural similarity index(SSIM),and mean squared error(MSE).The proposed SANR_CNN model achieved higher PSNR,SSIM,and MSE efficiency than the other noise removal *** proposed architecture also provides transmission of these denoised medical images through secured IoT architecture.

关键词： Medical resonance imaging convolutional neural network denoising contrast enhancement internet of things rheumatoid arthritis

Influence of Rind Hardness on Sugarcane Quality

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American Journal of Plant Sciences 2013年第8期4卷 45-52页

作者： sujeet Pratap Singh Amrita Nigam Ram Kushal Singh Centre for Sugarcane Biotechnology Sugarcane Research Institute U. P. Council of Sugarcane Research Shahjahanpur India School of Life Sciences Indira Gandhi National Open University New Delhi India.

Sugar recovery in a factory depends upon regular crushing and quality of varieties besides various other working parameters. Strategies for increased productivity and sugar recovery, varietal improvement can bring out through selection of parents to get maximum gains. These are governed by sugar content, fiber, rind hardness and cane yield. In order to assess the breeding value of different traits including rind hardness, study was undertaken at Sugarcane Research Institute, Shahjahanpur, during 2011-2012. Phenotypic difference and correlations among agronomic characters, basic quality characters and rind hardness in 120 segregating genotypes derived from contrast bi-parental cross (UP9530 × Co86011) of sugarcane cultivar were studied in this experiment. All the traits observed were found statistically significant among the mapping populations. The mean value of rind hardness was 5.91 with a range from 2.08 to 12.10 among 120 segregating population including their parents. Rind hardness (RHD) showed significant positive genotypic correlation with sugar yield-related traits viz;cane weight (CW, r = 0.325), cane yield (CYLD, r = 0.380) and sugar yield (SUYLD, r = 0.248). Significant negative correlation was observed for rind hardness with commercial cane sugar percent (CCS%, r = -0.388), number of millable cane (NMC, r = -0.216), hand refractometer brix %-October (HBR, r = -0.154), Brix% in juice (BR, r = -0.119) and Sucrose% in juice (SUC, r = -0.080). The simple correlation analysis showed that RHD, CW, CYLD and SUYLD showed significant positive correlation for agronomic characters, but for basic quality characters had negative correlations. Result indicated that rind hardness was found to have economically important trait due to showing significant positive and negative correlation with sugar yield and sugar content, respectively. The study also revealed that with the reduction in rind hardness, sugar recovery may increase. Present findings indicated that the rind

关键词： Rind Hardness Sugarcane Genetic Correlation Sugar Yield-Related Traits

An Efficient Tightly Coupled Fluid-Solid Interaction Approach For Modeling Rotors in Forward Flight

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An Efficient Tightly Coupled Fluid-Solid Interaction Approac...

An experimental validation of genomic selection in octoploid strawberry

第二届旋翼飞行器技术基础研究国际学术会议

作者： sujeet Phanse Lakshmi N.Sankar Olivier Bauchau School of Aerospace Engineering Georgia Institute of Technology Atlanta GA 30332-0150 Doctoral Candidate School of Aerospace Engineering Georgia Institute of Technology Atlanta GA 30332-0150 Professor School of Aerospace Engineering Georgia Institute of Technology Atlanta GA 30332-0150 Professor

＜正＞A tightly coupled fluid-solid dynamics interaction approach has been developed for the efficient prediction of aerodynamic loads on rotor blades in forward flight. The aerodynamic computations are done using a 3-D Navier-Stokes solver modeling the viscous flow over the blade and the near wake. The elastic structural dynamic computations are carried out using a multi-body dynamics approach. The fluid and solid dynamics equations are simultaneously integrated in time, providing a tight coupling between the structural dynamic and fluid dynamic solvers at every time step. A generalized grid motion module has been developed to account for the effects of the blade motion and elastic deformations on the aerodynamics. A free self-induced wake model is used to model the tip vortex effects once the blade tip vortices leave the resolved CFD domain. A four-bladed UH-60A rotor at a high advance ratio has been studied, and the results compared with flight test data.

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Horticulture Research 2017年第1期4卷 380-388页

作者： Salvador A Gezan Luis F Osorio sujeet Verma Vance M Whitaker School of Forest Resources and Conservation University of Florida363 Newins-Ziegler HallPO Box 110410Gainesville32611-0410FLUSA Gulf Coast Research and Education Center University of Florida14625 CR 672Wimauma33598FLUSA

The primary goal of genomic selection is to increase genetic gains for complex traits by predicting performance of individuals for which phenotypic data are not *** objective of this study was to experimentally evaluate the potential of genomic selection in strawberry breeding and to define a strategy for its *** clonally replicated field trials,two in each of 2 years comprised of a total of 1628 individuals,were established in 2013–2014 and 2014–*** complex yield and fruit quality traits with moderate to low heritability were assessed in each ***-density genotyping was performed with the Affymetrix Axiom IStraw90 single-nucleotide polymorphism array,and 17479 polymorphic markers were chosen for *** methods were compared,including Genomic BLUP,Bayes B,Bayes C,Bayesian LASSO Regression,Bayesian Ridge Regression and Reproducing Kernel Hilbert ***-validation within training populations resulted in higher values than for true validations across *** true validations,Bayes B gave the highest predictive abilities on average and also the highest selection efficiencies,particularly for yield traits that were the lowest heritability *** efficiencies using Bayes B for parent selection ranged from 74%for average fruit weight to 34%for early marketable yield.A breeding strategy is proposed in which advanced selection trials are utilized as training populations and in which genomic selection can reduce the breeding cycle from 3 to 2 years for a subset of untested parents based on their predicted genomic breeding values.

关键词： breeding straw traits