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| 1 | Colorectal cancers in ulcerative colitis from a low-prevalence area for colon cancer显示文摘AIM: To determine the incidence and risk factors for colorectal cancer(CRC) in patients with ulcerative colitis from a low prevalence region for CRC.METHODS: Our prospective database yielded a cohort of 430 patients [age: 44 ± 14.6 years; 248 men(57.7%)] with ulcerative colitis(median disease duration 6, range: 1-39 years) for analysis. Of these, 131(30.5%) had left-sided colitis and 159(37%) extensive colitis. Patients with histologically confirmed CRC within the segment with colitis were compared with those without CRC, to determine the risk factors for the development of CRC.RESULTS: Twelve patients(2.8%) developed CRC. The overall incidence density was 3.56/1000 patient-years of disease- 3/1000 in the first 10 years, 3.3/1000 at 10 to 20 years, and 7/1000 at > 20 years. Three of our 12 patients developed CRC within 8 years of disease onset. On univariate analysis, extensive colitis, longer duration of disease, and poor control of disease were associated with development of CRC. On multivariate analysis, duration of disease and extent of colitis remained significant.CONCLUSION: CRC occurred in 2.8% of patients with ulcerative colitis in our population- an incidence density similar to that in Western countries in spite of a low overall prevalence of colon cancer in our population.The risk increased with extent and duration of disease. | Devendra Desai Sudeep Shah Abhijit Deshmukh Philip Abraham Anand Joshi Tarun Gupta Ramesh Deshpande Varun Khandagale Siji George | 2015 | World Journal of Gastroenterology2015，21，12： | 7 |
| 2 | Metastatic clear cell variant of hepatocellular carcinoma with an occult hepatic primary显示文摘Metastatic clear cell carcinomas are commonly seen in the kidney and lung. Clear cell variant of hepatocellular carci- noma is an uncommon tumour. Diagnosis is usually made by correlation of histopathology. tumour markers and im- munohistochemistry, especially HepPar 1. In this unusual case of metastatic clear cell carcinoma presenting as Sister Mary Joseph’s nodule, no primary evidence was observed radiologically in the liver, but the level of alfa fetoprotein was markedly elevated. Metastatic clear cell carcinoma of the liver with an occult hepatic primary was diagnosed by immunohistochemical profile of the tumour. | Samir ShahSamir Shah Sudeep Gupta Tanuja Shet Amita Maheshwari Rekha Wuntkal and Kunisshery Mallath Mohandas | 2005 | Hepatobiliary & Pancreatic Diseases International2005，4，2： | 3 |
| 3 | Non-Hodgkin lymphoma of the Waldeyer’s ring: clinicopathologic and therapeutic issues显示文摘 | Siddhartha Laskar Pranshu Mohindra Sudeep Gupta Tanuja Shet Mary Ann Muckaden | 2008 | Leukemia & Lymphoma2008，，12： | 1 |
| 4 | 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 |
| 5 | 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 |
| 6 | 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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