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| 1 | Role of salivary matrix metalloproteinase-8 (MMP-8) in chronic periodontitis diagnosis显示文摘Periodontitis 是 periodontium 的煽动性的疾病。在 neutrophils 和织物禁止者分泌的矩阵 metalloproteinases (MMP ) 之间的任何不平衡在口香糖织物开始骨胶原的破坏,导致长期的 periodontitis。这研究瞄准了 MMP-8 的唾液的层次和长期的 periodontitis 的牙齿周围的参数到相互关联为长期的 periodontitis 的早诊断作为一个 noninvasive 标记建立 MMP-8。学习包含了访问扎乌丁·阿赫马德博士的 periodontic OPD 的 40 个题目牙齿的学院和医院,在 Aligarh 定位了, U.P,印度,从 2011 ~ 2012。这些题目被划分成二个组:组当组 II 与长期的 periodontitis 由 20 个病人组成了时,我由 20 个牙齿周围地健康的题目(控制) 组成了。长期的 periodontitis 根据几个牙齿周围的参数被估计,包括探查深度(PPD ) 的衣袋,临床的附件水平(CAL ) ,齿龈的索引(官方补给) ,并且匾索引(PI ) 。为由用 Quantikine 人总数 MMP-8 免疫分析工具包的 ELISA 的 MMP-8 评价在 unstimulated 和整个吐的口水的 3ml 附近是镇定的。数据用 STATISTICA (Windows 版本 6 ) 软件被分析。组的唾液的 MMP-8 层次我和 II 是 190.91?? | Namita Gupta N.D. Gupta Akash Gupta Saif Khan Neha Bansa | 2015 | Frontiers of Medicine2015，9，1： | 5 |
| 2 | Imaging-based algorithmic approach to gallbladder wall thickening显示文摘Gallbladder(GB) wall thickening is a frequent finding caused by a spectrum of conditions. It is observed in many extracholecystic as well as intrinsic GB conditions. GB wall thickening can either be diffuse or focal. Diffuse wall thickening is a secondary occurrence in both extrinsic and intrinsic pathologies of GB, whereas, focal wall thickening is mostly associated with intrinsic GB pathologies. In the absence of specific clinical features, accurate etiological diagnosis can be challenging. The survival rate in GB carcinoma(GBC) can be improved if it is diagnosed at an early stage, especially when the tumor is confined to the wall. The pattern of wall thickening in GBC is often confused with benign diseases, especially chronic cholecystitis, xanthogranulomatous cholecystitis, and adenomyomatosis. Early recognition and differentiation of these conditions can improve the prognosis. In this minireview, the authors describe the patterns of abnormalities on various imaging modalities(conventional as well as advanced) for the diagnosis of GB wall thickening. This paper also illustrates an algorithmic approach for the etiological diagnosis of GB wall thickening and suggests a formatted reporting for GB wall abnormalities. | Pankaj Gupta Yashi Marodia Akash Bansal Naveen Kalra Praveen Kumar-M Vishal Sharma Usha Dutta Manavjit Singh Sandhu | 2020 | World Journal of Gastroenterology2020，26，40： | 3 |
| 3 | Liquid-liquid extraction and recovery of indium using Cyanex 923 显示文摘 | Gupta Bina Deep Akash Malik Poonma | 2004 | Analytica Chimica Acta2004，513，2： | 1 |
| 4 | Liquid - liquid extraction and recovery of indium using Cyanex 923 显示文摘 | Bina Gupta Akash Deep Poonma Malik | 2004 | AnalyticaChimica Acta2004，513，： | 1 |
| 5 | Liquid- liquid extraction and recovery of indium using Cyanex 923显示文摘 | Bina Gupta Akash Deep Poonma Malik | 2004 | Analytica Chimica Acta2004，513，2： | 1 |
| 6 | Recovery of Cobalt, Nickel and Copper From Sea Nodules by Their Extraction With Alkylphosphines显示文摘 | Bina Gupta Akash Deep Virendra Singh | 2003 | Hydrometallurgy2003，70，13： | 1 |
| 7 | Value of neutrophil-lymphocyte ratio in evaluating response to percutaneous catheter drainage in patients with acute pancreatitis显示文摘BACKGROUND Early prediction of response to percutaneous catheter drainage(PCD)of necrotic collections in acute pancreatitis(AP)using simple and objective tests is critical as it may determine patient prognosis.The role of white blood cell(WBC)count and neutrophil-lymphocyte ratio(NLR)has not been assessed as a tool of early prediction of PCD success and is the focus of this study.AIM To assess the value of WBC and NLR in predicting response to PCD in AP.METHODS This retrospective study comprised consecutive patients with AP who underwent PCD between June 2018 and December 2019.Severity and fluid collections were classified according to the revised Atlanta classification and organ failure was defined according to the modified Marshall Score.WBC and NLR were monitored 24 h prior PCD(WBC-0/NLR-0)and 24 h(WBC-1/NLR-1),48 h(WBC-2/NLR-2)and 72 h(WBC-3/NLR-3)after PCD.NLR was calculated by dividing the number of neutrophils by the number of lymphocytes.The association of success of PCD(defined as survival without the need for surgery)with WBC and NLR was assessed.The trend of WBC and NLR was also assessed post PCD.RESULTS One hundred fifty-five patients[median age 40±13.6(SD),64.5%males,53.5%severe AP]were included in the final analysis.PCD was done for acute necrotic collection in 99(63.8%)patients and walled-off necrosis in 56(36.1%)patients.Median pain to PCD interval was 24±69.89 d.PCD was successful in 109 patients(group 1)and 46 patients(group 2)who failed to respond.There was no significant difference in the baseline characteristics between the two groups except the severity of AP and frequency of organ failure.Both WBC and NLR showed an overall decreasing trend.There was a significant difference between WBC-0 and WBC-1(P=0.0001).WBC-1 and NLR-1 were significantly different between the two groups(P=0.048 and 0.003,respectively).The area under the curve of WBC-1 and NLR-1 for predicting the success of PCD was 0.602 and 0.682,respectively.At a cut-off value of 9.87 for NLR-1,the sensitivity and specificity for predicting the success of PCD were calculated to be 75%and 65.4%respectively.CONCLUSION WBC and NLR can be used as simple tests for predicting response to PCD in patients with acute necrotizing pancreatitis. | Pankaj Gupta Gaurav Chayan Das Akash Bansal Jayanta Samanta Harshal S Mandavdhare Vishal Sharma Shano Naseem Vikas Gupta Thakur Deen Yadav Usha Dutta Neelam Varma Manavjit Singh Sandhu Rakesh Kochhar | 2022 | World Journal of Clinical Cases2022，10，1： | 1 |
| 8 | Liquid liquid extrac- tion and recovery of Indium using Cyanex 923 显示文摘 | Bina Gupta Akash Deep Poonma Malik | 1971 | Analytica Chimica ACTA1971，，513： | 1 |
| 9 | Liquld-liquid extraction and recovery of indium using Cyanex 923显示文摘 | Bina Gupta Akash Deep Poonma Malik | 2004 | Analytica Chimica Acts2004，，： | 1 |
| 10 | Real-Time Analysis of COVID-19 Pandemic on Most Populated Countries Worldwide显示文摘The spread of the Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2)has already taken on pandemic extents,influencing even more than 200 nations in a couple of months.Although,regulation measures in China have decreased new cases by over 98%,this decrease is not the situation everywhere,and most of the countries still have been affected by it.The objective of this research work is to make a comparative analysis of the top 5 most populated countries namely United States,India,China,Pakistan and Indonesia,from 1st January 2020 to 31st July 2020.This research work also targets to predict an increase in the number of deaths and total infected cases in these five countries.In our research,the performance of the proposed framework is determined by using three Machine Learning(ML)regression algorithms namely Linear Regression(LR),Support Vector Regression(SVR),andRandom Forest(RF)Regression.The proposed model is also validated upon the infected and death cases of further dates.The performance of these three algorithms is compared using the RootMean Square Error(RMSE)metrics.Random Forest algorithm shows best performance as compared to other proposed algorithms,with the lowest RMSE value in the prediction of total infected and total deaths cases for all the top five most populated countries. | Meenu Gupta Rachna Jain Akash Gupta Kunal Jain | 2020 | Computer Modeling in Engineering & Sciences2020，，12： | 0 |
| 11 | AI-Enabled COVID-19 Outbreak Analysis and Prediction: Indian States vs. Union Territories显示文摘The COVID-19 disease has already spread to more than 213 countries and territories with infected(confirmed)cases of more than 27 million people throughout the world so far,while the numbers keep increasing.In India,this deadly disease was first detected on January 30,2020,in a student of Kerala who returned from Wuhan.Because of India’s high population density,different cultures,and diversity,it is a good idea to have a separate analysis of each state.Hence,this paper focuses on the comprehensive analysis of the effect of COVID-19 on Indian states and Union Territories and the development of a regression model to predict the number of discharge patients and deaths in each state.The performance of the proposed prediction framework is determined by using three machine learning regression algorithms,namely Polynomial Regression(PR),Decision Tree Regression,and Random Forest(RF)Regression.The results show a comparative analysis of the states and union territories having more than 1000 cases,and the trained model is validated by testing it on further dates.The performance is evaluated using the RMSE metrics.The results show that the Polynomial Regression with an RMSE value of 0.08,shows the best performance in the prediction of the discharged patients.In contrast,in the case of prediction of deaths,Random Forest with a value of 0.14,shows a better performance than other techniques. | Meenu Gupta Rachna Jain Simrann Arora Akash Gupta Mazhar Javed Awan Gopal Chaudhary Haitham Nobanee | 2021 | Computers, Materials & Continua2021，，4： | 0 |
| 12 | Drainage of pancreatic fluid collections in acute pancreatitis:A comprehensive overview显示文摘Moderately severe and severe acute pancreatitis is characterized by local and systemic complications.Systemic complications predominate the early phase of acute pancreatitis while local complications are important in the late phase of the disease.Necrotic fluid collections represent the most important local complication.Drainage of these collections is indicated in the setting of infection,persistent or new onset organ failure,compressive or pressure symptoms,and intraabdominal hypertension.Percutaneous,endoscopic,and minimally invasive surgical drainage represents the various methods of drainage with each having its own advantages and disadvantages.These methods are often complementary.In this minireview,we discuss the indications,timing,and techniques of drainage of pancreatic fluid collections with focus on percutaneous catheter drainage.We also discuss the novel methods and techniques to improve the outcomes of percutaneous catheter drainage. | Akash Bansal Pankaj Gupta Anupam K Singh Jimil Shah Jayanta Samanta Harshal S Mandavdhare Vishal Sharma Saroj Kant Sinha Usha Dutta Manavjit Singh Sandhu Rakesh Kochhar | 2022 | World Journal of Clinical Cases2022，10，20： | 0 |
| 13 | Humans and Robots: A Mutually Inclusive Relationship in a Contagious World显示文摘The coronavirus global pandemic has spread faster and more severely than experts had anticipated.While this has presented itself as a great challenge,researchers worldwide have shown ingenuity and dexterity in adapting technology and devising new strategies to combat this pandemic.However,implementing these strategies alone impedes the nature of everyone′s daily life.Hence,an intersection between these strategies and the technological advantages of robotics,artificial intelligence,and autonomous systems is essential for near-to-normal operation.In this review paper,different applications of robotic systems,various aspects of modern technologies,including medical imaging,telemedicine,and supply chains,have been covered with respect to the COVID-19 pandemic.Furthermore,concerns over user′s data privacy,job losses,and legal aspects of the implementation of robotics are also been discussed. | Akash Gupta Anshuman Singh Deepak Bharadwaj Amit Kumar Mondal | 2021 | International Journal of Automation and computing2021，18，2： | 0 |
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