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Inflammatory Myofibroblastic Tumor of the Urinary Bladder Managed by Laparoscopic Partial Cystectomy
Manas Ranjan Pradhan,Priyadarshi Ranjan,Ram Nawal Rao,Saurabh Sudhir Chipde,Krishna Pradhan,Rakesh Kapoor 대한비뇨의학회 2013 Investigative and Clinical Urology Vol.54 No.11
Inflammatory myofibroblastic tumor of the urinary bladder is a rare mesenchymal tumor with uncertain malignant potential. It often mimics soft tissue sarcomas both clinically and radiologically. Surgical resection in the form of partial cystectomy or transurethral resection remains the mainstay of treatment. Herein we report the case of an inflammatory myofibroblastic tumor in a young girl, which was managed by laparoscopic partial cystectomy. To the best of our knowledge, this is the first reported case of laparoscopic management of an inflammatory myofibroblastic tumor of the urinary bladder.
Alok Ranjan Sahu,Ramya Ranjan Mishra,Jogeswar Panigrahi 한국작물학회 2016 Journal of crop science and biotechnology Vol.19 No.1
The genetic divergence among 34 genotypes belonging to 12 species of genus Cajanus were carried out using plant pest interaction and DNA marker analysis. Principal component analysis based on average percentage of pod damage caused by pod borer, plume moth, and blue butterfly in the field conditions, and growth of their larva and pupa on an artificial diet in vitro dispersed these genotypes into four coordinates evincing high genetic divergence as expected. DNA marker analysis using 11 pairs of SSR and nine ISSR primers showed higher polymorphism at the species level, and these primers exhibited variation with regard to average band informativeness, resolving power, and PIC value. No single primer was able to distinguish between all the 34 genotypes of Cajanus but nine species specific amplified fragments were generated by five ISSR primers. The pairwise Jaccard’s similarity coefficient and Nei’s genetic distance values revealed a higher level of inter-specific genetic variation in the genus Cajanus. The clustering of genotypes based on Jaccard’s similarity coefficient vis-a-vis Nei’s genetic distance agreed with the sectional classification of the genus Cajanus. Seven cultivars of C. cajan and the genotypes of their wild progenitor C. cajanifolius remained in one cluster, whereas accessions of C. platycarpus and C. scarabaeoides were out grouped. The rest of the genotypes belonging to nine species of Cajanus formed another cluster. The principal coordinate analysis also supported this clustering pattern. Moreover, these findings have good many implications for future breeding endeavors aimed at the introgression of pod borer resistance alleles.
Avinash Kumar Ranjan,Bikash Ranjan Parida 대한공간정보학회 2019 Spatial Information Research Vol.27 No.4
Rice is an important staple food for the billions of world population. Mapping the spatial distribution of paddy and predicting yields are crucial for food security measures. Over the last three decades, remote sensing techniques have been widely used for monitoring and management of agricultural systems. This study has employed Sentinel-based both optical (Sentinel-2B) and SAR (Sentinel-1A) sensors data for paddy acreage mapping in Sahibganj district, Jharkhand during the monsoon season in 2017. A robust machine learning Random Forest (RF) classification technique was deployed for the paddy acreage mapping. A simple linear regression yield model was developed for predicting yields. The key findings showed that the paddy acreage was about 68.3–77.8 thousand hectares based on Sentinel-1A and 2B satellite data, respectively. Accordingly, the paddy production of the district was estimated as 108–126 thousand tonnes. The paddy yield was predicted as 1.60 tonnes/hectare. The spatial distribution of paddy based on RF classifier and accuracy assessment of LULC maps revealed that the SAR-based classified paddy map was more consistent than the optical data. Nevertheless, this comprehensive study concluded that the SAR data could be more pronounced in acreage mapping and yield estimation for providing timely information to decision makers.
Ranjan Dutta,Dikhi Firmansyah,유재덕,Ravi Kumar,Endale Mulugeta Beza,조홍일,옥강민,이창희 대한화학회 2017 Bulletin of the Korean Chemical Society Vol.38 No.10
A series of carbazole–benzimidazole conjugates and corresponding BF2-complexes (BODIPYs) are synthesized and characterized. Carbazole–benzimidazole conjugates are synthesized by the condensation of 1-formyl carbazole and phenylene diamines in good yields. Various substituents are introduced into the benzimidazole moiety and subsequent reaction with BF3•Et2O afforded the BF2-complexes in moderate to good yield. The structural and photophysical properties of the synthesized fluorophores are investigated with various spectroscopic techniques such as UV/Vis and fluorescence spectroscopy, cyclic voltammetry and X-ray crystallography.
An overview of backbone technology behind the latest advanced gadgets in use: 4G & 5G
Ranjan Mishra 대한공간정보학회 2023 Spatial Information Research Vol.31 No.1
Technology has a significant impact on human behavior. Wireless technology has changed business, living conditions, infrastructure, and many other aspects of human life. Mankind is constantly attempting to come up with attractive solutions to many problems and seeking new methods to progress. With growing humankind’s ambition, wireless technology has developed from 1G to 5G. This evolution, on the other hand, has not slowed down. In this paper, discussion is given about the technologies that form a part of 4G and 5G communication. In addition, the paper highlights the review of the technologies implemented for 4G and 5G mobile networks. Cellular networks have grown and improved immensely in recent years, in terms of customers, data speeds, outreached and other aspects. In both 4G and 5G technology, the mobile consumer has taken precedence above all others. The objective of this paper is to provide a comprehensive review of the essential enabling technologies for 4G and 5G, and a variation between these for its versatility and connectivity.
A Deep Learning Model for Extracting Consumer Sentiments using Recurrent Neural Network Techniques
Ranjan, Roop,Daniel, AK International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.8
The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.
Rho-dependent Transcription Termination: More Questions than Answers
Ranjan Sen,Jisha Chalissery,Sharmistha Banerjee,Irfan Bandey 한국미생물학회 2006 The journal of microbiology Vol.44 No.1
Escherichia coli protein Rho is required for the factor-dependent transcription termination by an RNA polymerase and is essential for the viability of the cell. It is a homohexameric protein that recognizes and binds preferably to C-rich sites in the transcribed RNA. Once bound to RNA, it utilizes RNA-dependent ATPase activity and subsequently ATPase-dependent helicase activity to unwind RNA-DNA hybrids and release RNA from a transcribing elongation complex. Studies over the past few decades have highlighted Rho as a molecule and have revealed much of its mechanistic properties. The recently solved crystal structure could explain many of its physiological functions in terms of its structure. Despite all these efforts, many of the fundamental questions pertaining to Rho recognition sites, differential ATPase activity in response to different RNAs, translocation of Rho along the nascent transcript, interactions with elongation complex and finally unwinding and release of RNA remain obscure. In the present review we have attempted to summarize ‘the knowns’ and ‘the unknowns’ of the Rho protein revealed by the recent developments in this field. An attempt has also been made to understand the physiology of Rho in the light of its phylogeny.