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| 1 | Role of gut microbiota in cardiovascular diseases显示文摘The human gut is colonized by a community of microbiota,primarily bacteria,that exist in a symbiotic relationship with the host.Intestinal microbiota-host interactions play a critical role in the regulation of human physiology.Deleterious changes to the composition of gut microbiota,referred to as gut dysbiosis,has been linked to the development and progression of numerous diseases,including cardiovascular disease(CVD).Imbalances in host-microbial interaction impair homeostatic mechanisms that regulate health and can activate multiple pathways leading to CVD risk factor progression.Most CVD risk factors,including aging,obesity,dietary patterns,and a sedentary lifestyle,have been shown to induce gut dysbiosis.Dysbiosis is associated with intestinal inflammation and reduced integrity of the gut barrier,which in turn increases circulating levels of bacterial structural components and microbial metabolites,including trimethylamine-N-oxide and short-chain fatty acids,that may facilitate the development of CVD.This article reviews the normal function and composition of the gut microbiome,mechanisms leading to the leaky gut syndrome,its mechanistic link to CVD and potential novel therapeutic approaches aimed towards restoring gut microbiome and CVD prevention.As CVD is the leading cause of deaths globally,investigating the gut microbiota as a locus of intervention presents a novel and clinically relevant avenue for future research. | Marko Novakovic Amit Rout Thomas Kingsley Robert Kirchoff Amteshwar Singh Vipin Verma Ravi Kant Rahul Chaudhary | 2020 | World Journal of Cardiology2020，12，4： | 6 |
| 2 | Outcome of bone marrow instillation at fracture site in intracapsular fracture of femoral neck treated by head preserving surgery显示文摘学习是在 intracapsular 颈腿节的骨折在破裂地点评估骨头髓灌输的结果的现在的目的与 intracapsular 颈腿节的关上的骨折用保存包括的 surgery.MethodsThis 学习的头对待年龄组 18-50 年的 32 个病人。病人们作为每经由 www.randomization.com 产生的计划被使随机化进二个组。二个组是组 A (控制),在哪个 intracapsular 颈腿节的破裂被关上的减小和 cannulated cancellous 螺丝钉固定对待,并且组织 B (干预),在哪个另外的经皮的自体同源的骨头髓在骨折把灌输发成送气音地点与 cannulated cancellous 一起被做螺丝钉固定。手术后地,在破裂地点和大腿骨的头的 avascular 坏死的联合在最后的后续在连续的平凡的拍上被估计。功能的结果被哈里斯臀部 score.ResultsThe 一般水准后续评估是 19.6 个月。在每个组的 12 个病人有联合, 4 个病人有符号不属于工会。从每个组的一个病人有大腿骨的头的 avascular 坏死。在在组 A 的最后的后续的普通哈里斯臀部分数是 80.50 ,在组, B 是 75.73 ,它被发现不是 significant.ConclusionThere 在骨头上补充说髓在 intracapsular 颈腿节的新鲜骨折的情况下在破裂地点把灌输发成送气音的重要角色都没被以加速愈合并且减少大腿骨的头坏死的发生的骨头保存外科的头对待。 | Nikhil Verma M.P. Singh Rehan UI-Haq Rajesh K. Rajnish Rahul Anshuman | 2017 | Chinese Journal of Traumatology2017，20，4： | 4 |
| 3 | Plant Disease Diagnosis and Image Classification Using Deep Learning显示文摘Indian agriculture is striving to achieve sustainable intensification,the system aiming to increase agricultural yield per unit area without harming natural resources and the ecosystem.Modern farming employs technology to improve productivity.Early and accurate analysis and diagnosis of plant disease is very helpful in reducing plant diseases and improving plant health and food crop productivity.Plant disease experts are not available in remote areas thus there is a requirement of automatic low-cost,approachable and reliable solutions to identify the plant diseases without the laboratory inspection and expert’s opinion.Deep learning-based computer vision techniques like Convolutional Neural Network(CNN)and traditional machine learning-based image classification approaches are being applied to identify plant diseases.In this paper,the CNN model is proposed for the classification of rice and potato plant leaf diseases.Rice leaves are diagnosed with bacterial blight,blast,brown spot and tungro diseases.Potato leaf images are classified into three classes:healthy leaves,early blight and late blight diseases.Rice leaf dataset with 5932 images and 1500 potato leaf images are used in the study.The proposed CNN model was able to learn hidden patterns from the raw images and classify rice images with 99.58%accuracy and potato leaves with 97.66%accuracy.The results demonstrate that the proposed CNN model performed better when compared with other machine learning image classifiers such as Support Vector Machine(SVM),K-Nearest Neighbors(KNN),Decision Tree and Random Forest. | Rahul Sharma Amar Singh Kavita N.Z.Jhanjhi Mehedi Masud Emad Sami Jaha Sahil Verma | 2022 | Computers, Materials & Continua2022，，5： | 4 |
| 4 | Soil and water conservation measures improve soil carbon sequestration and soil quality under cashews显示文摘Land degradation is becoming a serious problem in the west coast region of India where one of the world's eight biodiversity hotspots,the‘Western Ghats’,is present.Poor land management practices and high rainfall have led to increasing problems associated with land degradation.A long-term(13-year)experiment was done to evaluate the impact of soil and water conservation measures on soil carbon sequestration and soil quality at three different depths under cashew nut cultivation on a 19%slope.Five soil and water conservation measures-continuous contour trenches,staggered contour trenches,halfmoon terraces,semi-elliptical trenches,and graded trenches all with vegetative barriers of Stylosanthes scabra and Vetiveria zizanoides and control were evaluated for their influence on soil properties,carbon sequestration,and soil quality under cashews.The soil and water conservation measures improved significantly the soil organic carbon,soil organic carbon stock,carbon sequestration rate and microbial activity compared to the control condition(without any measures).Among the measures tested,continuous contour trenches with vegetative barriers outperformed the others with respect to soil organic carbon stock,sequestration rate,and microbial activity.The lower metabolic quotient with the measures compared to the control indicated alleviation of environmental stress on microbes.Using principal component analysis and a correlation matrix,a minimum dataset was identified as the soil available nitrogen,bulk density,basal soil respiration,soil pH,acid phosphatase activity,and soil available boron and these were the most important soil properties controlling the soil quality.Four soil quality indices using two summation methods(additive and weighted)and two scoring methods(linear and non-linear)were developed using the minimum dataset.A linear weighted soil quality index was able to statistically differentiate the effect of soil and water conservation measures from that of the control.The highest value of the soil quality index of 0.98 was achieved with continuous contour trenches with a vegetative barrier.The results of the study indicate that soil and water conservation measures for cashews are a potential strategy to improve the soil carbon sequestration and soil quality along with improving crop productivity and reducing the erosion losses. | Gopal Ramdas Mahajan Bappa Das Sandrasekaran Manivannan Begur Lakshminarasimha Manjunath Ram Ratan Verma Sujeet Desai Rahul Mukund Kulkarni Ashish Marotrao Latare Reshma Sale Dayesh Murgaonkar Kiran Puna Patel Shaiesh Morajkar Ashwini Desai Natasha Barnes Heena Mulla | 2021 | International Journal of Sediment Research2021，36，2： | 4 |
| 5 | Noise trading and stock market volatility显示文摘 | Rahul Verma Priti Verma | 2006 | Journal of Multinational Financial Management2006，，3： | 2 |
| 6 | Noise Trading and Stock Market Volatility 显示文摘 | Rahul Verma Priti V | 2006 | Journal of Multinational Financial Management2006，，17： | 1 |
| 7 | Artificial intelligence in sleep medicine:Present and future显示文摘Artificial intelligence(AI)has impacted many areas of healthcare.AI in healthcare uses machine learning,deep learning,and natural language processing to analyze copious amounts of healthcare data and yield valuable outcomes.In the sleep medicine field,a large amount of physiological data is gathered compared to other branches of medicine.This field is primed for innovations with the help of AI.A good quality of sleep is crucial for optimal health.About one billion people are estimated to have obstructive sleep apnea worldwide,but it is difficult to diagnose and treat all the people with limited resources.Sleep apnea is one of the major contributors to poor health.Most of the sleep apnea patients remain undiagnosed.Those diagnosed with sleep apnea have difficulty getting it optimally treated due to several factors,and AI can help in this situation.AI can also help in the diagnosis and management of other sleep disorders such as insomnia,hypersomnia,parasomnia,narcolepsy,shift work sleep disorders,periodic leg movement disorders,etc.In this manuscript,we aim to address three critical issues about the use of AI in sleep medicine:(1)How can AI help in diagnosing and treating sleep disorders?(2)How can AI fill the gap in the care of sleep disorders?and(3)What are the ethical and legal considerations of using AI in sleep medicine? | Ram Kishun Verma Gagandeep Dhillon Harpreet Grewal Vinita Prasad Ripudaman Singh Munjal Pranjal Sharma Venkata Buddhavarapu Ramprakash Devadoss Rahul Kashyap Salim Surani | 2023 | World Journal of Clinical Cases2023，11，34： | 0 |
| 8 | Laser-induced periodic surface structured electrodes with 45% energy saving in electrochemical fuel generation through field localization显示文摘Electrochemical oxidation/reduction of radicals is a green and environmentally friendly approach to generating fuels.These reactions,however,suffer from sluggish kinetics due to a low local concentration of radicals around the electrocatalyst.A large applied electrode potential can enhance the fuel generation efficiency via enhancing the radical concentration around the electrocatalyst sites,but this comes at the cost of electricity.Here,we report about a~45%saving in energy to achieve an electrochemical hydrogen generation rate of 3×10^(16) molecules cm^(–2)s^(–1)(current density:10 mA/cm^(2))through localized electric field-induced enhancement in the reagent concentration(LEFIRC)at laser-induced periodic surface structured(LIPSS)electrodes.The finite element model is used to simulate the spatial distribution of the electric field to understand the effects of LIPSS geometric parameters in field localization.When the LIPSS patterned electrodes are used as substrates to support Pt/C and RuO_(2) electrocatalysts,the η_(10) overpotentials for HER and OER are decreased by 40.4 and 25%,respectively.Moreover,the capability of the LIPSS-patterned electrodes to operate at significantly reduced energy is also demonstrated in a range of electrolytes,including alkaline,acidic,neutral,and seawater.Importantly,when two LIPSS patterned electrodes were assembled as the anode and cathode into a cell,it requires 330 mVs of lower electric potential with enhanced stability over a similar cell made of pristine electrodes to drive a current density of 10 mA/cm^(2).This work demonstrates a physical and versatile approach of electrode surface patterning to boost electrocatalytic fuel generation performance and can be applied to any metal and semiconductor catalysts for a range of electrochemical reactions. | Chaudry Sajed Saraj Subhash C.Singh Gopal Verma Rahul A Rajan Wei Li Chunlei Guo | 2022 | Opto-Electronic Advances2022，5，11： | 0 |
| 9 | Factors affecting the quantity and quality of platelet-rich plasma and platelet-derived growth factor-BB:an observational study显示文摘Objective:Platelet-rich plasma(PRP)releases growth factors upon activation,which in turn accelerates healing and regeneration of the target tissue.However,PRP composition may vary according to the patient’s demographics,and wider applications of PRP warrant product standardization.The current study aimed to examine variables influencing the platelet-derived growth factor BB(PDGF-BB)concentration in PRP.Methods:This observational study was conducted in the Department of Pathology and Dentistry at Swami Rama Himalayan University,a tertiary care hospital in northern India from December 2016 to November 2017.PRP was prepared from 40mL of whole blood from 35 individuals(22 women,13 men).Platelet counts,platelet indices(platelet distribution width,mean platelet volume)and PDGF-BB levels were measured,and platelet yield,platelet dose,and growth factor dose in PRP were also calculated.All parameters were analyzed using Pearson’s correlation coefficient.The association between PDGF-BB and PRP platelet count was evaluated using logistic regression.This study was approved by the Ethics Committee of Swami Rama Himalayan University(SRHU/HIMS/ETHICS/2016/103)on September 7,2016.Results:The mean platelet count,PDGF-BB concentration,platelet yield,platelet dose,and growth factor dose in PRP were 1317×10^(9)/L,30±9.89ng/mL,71.62±28.34%,6.5±3.5×10^(9),and 159.62±52.39ng/mL,respectively.Linear regression analysis indicated that PRP platelet counts were a good predictor for PGDF-BB(P<0.05;adjusted R^(2)=0.96.PRP platelet count was significantly positively correlated with PDGF-BB concentration(r=0.74,P<0.001),platelet yield(r=0.80,P<0.001),platelet dose(r=1,P<0.001),and growth factor dose(r=0.74,P<0.001).Conclusions:PRP has wide clinical applications associated with its healing and regenerative properties,and both the quality and quantity of PRP thus need to be standardized as per the requirements.Evaluating variables affecting PRP will thus aid pathologists and clinical practitioners. | Rahul Verma Abhishek Kandwal Gita Negi Harish Chandra | 2021 | Journal of Bio-X Research2021，4，2： | 0 |
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