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| 1 | mpaired flow-mediated vasodilatation in Asian Indians with erectile dysfunction显示文摘Endothelial 机能障碍是在冠的动脉疾病(CAD ) 和可勃起的机能障碍(编辑) 之间的要求的连接。臂的动脉调停流动的 vasodilatation (FMD ) 是为 endothelial 功能评价的一个非侵略的代理人标记。尽管有代表可观的全球 CAD 负担的亚洲印第安人,在这些病人的 FMD 和编辑上的数据正在缺乏。经历冠的 angiography 的 225 个病人, 72 %有的编辑(使用可勃起的功能(IIEF-5 ) 问询表的国际索引估计) ;编辑对中等在 61 % 严重;病人。编辑病人有严重、弥漫的 angiographic CAD,包含的很多冠的容器和更低的吝啬的臂的动脉 FMD 的更高的发生(6.40 % ± 4.60 %对 9.10 % ± 4.87 %, P< 0.001 ) 与 non-ED 病人相比。在 FMD 的进步减小与增加编辑的严厉被注意损害 FMD (≤ 5.5 %) 两次在编辑病人同样普通(52 %对 24 %没有编辑) 。有损害 FMD 的病人有更高的编辑流行(85 %对 62 %) 并且更低的吝啬的 IIEF-5 与正常 FMD 与那些相比得分。损害 FMD 是另外的风险因素的一个重要编辑预言者独立人士(机会比率, 2.33;95 %信心间隔:0.59-9.23;P=0.03 ) 。在 FMD 和编辑严厉之间的反的关联被观察(r=− 0.22;P=0.004 ) 。编辑在有 angiographically 记录的 CAD 的亚洲印第安人之中是普通的。有编辑的病人损害了独立于另外的风险因素的 FMD,建议那个 endothelial 机能障碍是内在的 pathophysiology。泌尿科医师和心脏病专家需要知道在编辑, CAD 和 endothelial 机能障碍之间的协会。 | Tanuj Bhatia Aditya Kapoor Jatinder Kumar Archana Sinha Priyadarshi Ranjan Sudeep Kumar Naveen Garg Satyendra-Tewari Aneesh Srivastava Rakesh Kapoor Pravin K Goel | 2013 | Asian Journal of Andrology2013，15，5： | 1 |
| 2 | Clinical progression of chikungunya fever during acute and chronic arthritic stages and the changes in joint morphology as revealed by imaging显示文摘 | Sathya Prakash Manimunda Paluru Vijayachari Raghuraj Uppoor Attayur Purushottaman Sugunan Shiv Shankar Singh Subhodh Kumar Rai Anakkathil Balan Sudeep Nagarajan Muruganandam Itta Krishna Chaitanya Dev Reddy Guruprasad | 2010 | Transactions of the Royal Society of Tropical Medicine and Hygiene2010，，6： | 1 |
| 3 | Association of extent and infection of pancreatic necrosis with organ failure and death in acute necrotizing pancreatitis显示文摘 | Pramod Kumar Garg Kaushal Madan Girish Kumar Pande Sudeep Khanna Garipati Sathyanarayan Narendra Prasad Bohidar Rakesh Kumar Tandon | 2005 | Clinical Gastroenterology and Hepatology2005，，2： | 1 |
| 4 | Analysis of thermal cycling curves of short fibre reinforced Mg-MMCs显示文摘 | SUBODH Kumar SUDEEP Ingole HAJO Dieringa KARL-Ulrich Kainer | 2003 | Composites Science and Technology2003，63，12： | 1 |
| 5 | Analysis of ther- mal cycling curves of short fiber reinforced Mg-MMCs 显示文摘 | Subodh Kumar Sudeep Ingole Hajo Dieringa | 2003 | Com- posite Science and Technology2003，63，： | 1 |
| 6 | Bioactivity-guided chemical analysis of Melia azedarach L. (Meliaceae), displaying antidiabetic activity显示文摘 | Mohammad Faheem Khan Arun Kumar Rawat Bhawna Pawar Sudeep Gautam Arvind Kumar Srivastava Devendra Singh Negi | 2014 | Fitoterapia2014，，： | 1 |
| 7 | Evaluation of recombinant E2 protein-based and whole-virus inactivated candidate vaccines against chikungunya virus显示文摘 | Kumar M Sudeep AB Arankalle VA | 2012 | Vaccine2012，30，43： | 1 |
| 8 | Cranioplasty of hemispherical defects using calcium phosphate cements along with titanium mesh:our experience显示文摘 | Kumar NG Sudeep S Balwan R | 2015 | J Maxillofac Oral Surg2015，14，4： | 1 |
| 9 | Robust Vehicle Detection Based on Improved You Look Only Once显示文摘Vehicle detection is still challenging for intelligent transportation systems(ITS)to achieve satisfactory performance.The existing methods based on one stage and two-stage have intrinsic weakness in obtaining high vehicle detection performance.Due to advancements in detection technology,deep learning-based methods for vehicle detection have become more popular because of their higher detection accuracy and speed than the existing algorithms.This paper presents a robust vehicle detection technique based on Improved You Look Only Once(RVD-YOLOv5)to enhance vehicle detection accuracy.The proposed method works in three phases;in the first phase,the K-means algorithm performs data clustering on datasets to generate the classes of the objects.Subsequently,in the second phase,the YOLOv5 is applied to create the bounding box,and the Non-Maximum Suppression(NMS)technique is used to eliminate the overlapping of the bounding boxes of the vehicle.Then,the loss function CIoU is employed to obtain the accurate regression bounding box of the vehicle in the third phase.The simulation results show that the proposed method achieves better results when compared with other state-of-art techniques,namely LightweightDilated Convolutional Neural Network(LD-CNN),Single Shot Detector(SSD),YOLOv3 and YOLOv4 on the performance metric like precision,recall,mAP and F1-Score.The simulation and analysis are carried out on PASCAL VOC 2007,2012 and MS COCO 2017 datasets to obtain better performance for vehicle detection.Finally,the RVD-YOLOv5 obtains the results with an mAP of 98.6%and Precision,Recall,and F1-Score are 98%,96.2%and 97.09%,respectively. | Sunil Kumar Manisha Jailia Sudeep Varshney Nitish Pathak Shabana Urooj Nouf Abd Elmunim | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 10 | Histological difference in ligament flavum between degenerative lumbar canal stenosis and non-stenotic group:A prospective,comparative study显示文摘BACKGROUND Ligament flavum(LF)hypertropy is the main etiopathogenesis of lumbar canal stenosis(LCS).The purely elastic LF undergoes a morphological adaptation including a reduction in the elastic fibers and a consequent increase in the collagen content,fibrosis,cicatrization,and calcification.However,the morphometric analysis can delineate the LF in patients with LCS from those without LCS,which would help in better understanding LCS pathogenesis.AIM To compare the histopathological changes in LF between the degenerative LCS and non-stenotic(non-LCS)group.METHODS The present prospective study was conducted in 82 patients who were divided into two groups,namely LCS and non-LCS.Demographic details of the patients such as duration of symptoms,level of involvement,and number of segments were recorded.The LF obtained from both groups was histopathologically examined for the fibrosis score,elastic fiber degeneration,calcification,and chondroid metaplasia.Morphometrical details included a change in elastin and collagen percentages,elastin/collagen ratio,elastic fiber fragmentation,and ligamentocyte numbers.All parameters were compared between the two groups by using the independent t test,Chi-square test,and Pearson’s correlation test.RESULTS Out of 82 cases,74 were analysed,34 in LCS and 40 in non-LCS group.The mean±SD age of presentation in LCS and non-LCS group was 49.2±8.9 and 43.1±14.3 respectively.The LCS group(n=34)exhibited significant differences in fibrosis(P=0.002),elastic fiber degeneration(P=0.01),%elastic fragmentation(66.5±16.3 vs 29.5±16.9),%elastic,content(26.9±6.7 vs 34.7±8.4),%collagen content(63.6±10.4 vs 54.9±6.4),reduction of elastic/collagen(0.4±0.1 vs 0.6±0.1),and ligamentocyte number(39.1±19.1 vs 53.5±26.9)as compared to non-LCS group(n=40).The calcification(P=0.08)and Pearson’s correlation between duration and loss of elastin was not significant.The difference in LF morphology is consistent in patient’s≥40 years of age among the groups as found in subgroup analysis.Similarly in the patents<40 and>40 in the non-LCS group.CONCLUSION LF is vital in the pathogenesis of LCS.The purely elastic LF undergoes a morphological adaptation that includes a reduction in the elastic fibers with a consequent increase in the collagen content,fibrosis,cicatrization,and calcification.The present study provides a detailed morphometric analysis to semiquantitatively delineate the LF changes in patients with LCS from those in patients without LCS. | Mantu Jain Mukund Sable Amit Purushottam Tirpude Rabi Narayan Sahu Sudeep Kumar Samanta Gurudip Das | 2022 | World Journal of Orthopedics2022，13，9： | 0 |
| 11 | GRADE: Deep learning and garlic routing-based secure data sharing framework for IIoT beyond 5G显示文摘The rise of automation with Machine-Type Communication(MTC)holds great potential in developing Industrial Internet of Things(IIoT)-based applications such as smart cities,Intelligent Transportation Systems(ITS),supply chains,and smart industries without any human intervention.However,MTC has to cope with significant security challenges due to heterogeneous data,public network connectivity,and inadequate security mechanism.To overcome the aforementioned issues,we have proposed a blockchain and garlic-routing-based secure data exchange framework,i.e.,GRADE,which alleviates the security constraints and maintains the stable connection in MTC.First,the Long-Short-Term Memory(LSTM)-based Nadam optimizer efficiently predicts the class label,i.e.,malicious and non-malicious,and forwards the non-malicious data requests of MTC to the Garlic Routing(GR)network.The GR network assigns a unique ElGamal encrypted session tag to each machine partaking in MTC.Then,an Advanced Encryption Standard(AES)is applied to encrypt the MTC data requests.Further,the InterPlanetary File System(IPFS)-based blockchain is employed to store the machine's session tags,which increases the scalability of the proposed GRADE framework.Additionally,the proposed framework has utilized the indispensable benefits of the 6G network to enhance the network performance of MTC.Lastly,the proposed GRADE framework is evaluated against different performance metrics such as scalability,packet loss,accuracy,and compromised rate of the MTC data request.The results show that the GRADE framework outperforms the baseline methods in terms of accuracy,i.e.,98.9%,compromised rate,i.e.,18.5%,scalability,i.e.,47.2%,and packet loss ratio,i.e.,24.3%. | Nilesh Kumar Jadav Riya Kakkar Harsh Mankodiya Rajesh Gupta Sudeep Tanwar Smita Agrawal Ravi Sharma | 2023 | Digital Communications and Networks2023，9，2： | 0 |
| 12 | Deep Learning-Based Robust Morphed Face Authentication Framework for Online Systems显示文摘The amalgamation of artificial intelligence(AI)with various areas has been in the picture for the past few years.AI has enhanced the functioning of several services,such as accomplishing better budgets,automating multiple tasks,and data-driven decision-making.Conducting hassle-free polling has been one of them.However,at the onset of the coronavirus in 2020,almost all worldly affairs occurred online,and many sectors switched to digital mode.This allows attackers to find security loopholes in digital systems and exploit them for their lucrative business.This paper proposes a three-layered deep learning(DL)-based authentication framework to develop a secure online polling system.It provides a novel way to overcome security breaches during the face identity(ID)recognition and verification process for online polling systems.This verification is done by training a pixel-2-pixel Pix2pix generative adversarial network(GAN)for face image reconstruction to remove facial objects present(if any).Furthermore,image-to-image matching is done by implementing the Siamese network and comparing the result of various metrics executed on feature embeddings to obtain the outcome,thus checking the electorate credentials. | Harsh Mankodiya Priyal Palkhiwala Rajesh Gupta Nilesh Kumar Jadav Sudeep Tanwar Osama Alfarraj Amr Tolba Maria Simona Raboaca Verdes Marina | 2023 | Computers, Materials & Continua2023，77，10： | 0 |
| 13 | Selective Cluster-Based Temperature Monitoring System for Homogeneous Wireless Sensor Networks显示文摘Over the past few decades, there has been a revolution in ICT, and this has led to the evolution of wireless sensor networks(WSN), in particular, wireless body area networks. Such networks comprise a specialized collection of sensor nodes(SNs) that may be deployed randomly in a body area network to collect data from the human body. In a health monitoring system, it may be essential to maintain constant environmental conditions within a specific area in the hospital. In this paper, we propose a temperature-monitoring system and describe a case study of a health-monitoring system for patents critically ill with the same disease and in the same environment. We propose Enhanced LEACH Selective Cluster(E-LEACH-SC) routing protocol for monitoring the temperature of an area in a hospital. We modified existing Selective Cluster LEACH protocol by using a fixed-distance-based threshold to divide the coverage region in two subregions. Direct data transmission and selective cluster-based data transmission approaches were used to provide short-range and long-distance coverage for the collection of data from the body of ill patients. Extensive simulations were run by varying the ratio of node densities of the two subregions in the health-monitoring system. Last Node Alive(LNA), which is a measure of network lifespan, was the parameter for evaluating the performance of the proposed scheme. The simulation results show that the proposed scheme significantly increases network lifespan compared with traditional LEACH and LEACH-SC protocols, which by themselves improve the overall performance of the health-monitoring system. | Sudhanshu Tyagi Sudeep Tanwar Sumit Kumar Gupta Neeraj Kumar Joel J.P.C.Rodrigues | 2014 | ZTE Communications2014，12，3： | 0 |
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