Telemedicine in Hepatology

( Lawanya Ranjan ),( Amar Ranjan ) 대한간학회 2021 춘·추계 학술대회 (KASL) Vol.2021 No.1

Estimation of Genetic Diversity Among 34 Genotypes in the Genus Cajanus with Contrasting Host Response to the Pod Borer and its Allied Pests

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.

Angiomyomatous Hamartoma of Popliteal Lymph Node: An Unusual Entity

Asit Ranjan Mridha,Richa Ranjan,Prateek Kinra,Ruma Ray,Shah Alam Khan,Gamanagatti Shivanand 대한병리학회 2015 Journal of Pathology and Translational Medicine Vol.49 No.2

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.

Telemedicine in hepatology

Lawanya RANJAN,Amar RANJAN 한국간담췌외과학회 2021 Annals of hepato-biliary-pancreatic surgery Vol.25 No.-

Paddy acreage mapping and yield prediction using sentinel-based optical and SAR data in Sahibganj district, Jharkhand (India)

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.

2D materials: increscent quantum flatland with immense potential for applications

Ranjan Pranay,Gaur Snehraj,Yadav Himanshu,Urgunde Ajay B.,Singh Vikas,Patel Avit,Vishwakarma Kusum,Kalirawana Deepak,Gupta Ritu,Kumar Prashant 나노기술연구협의회 2022 Nano Convergence Vol.9 No.26

Quantum flatland i.e., the family of two dimensional (2D) quantum materials has become increscent and has already encompassed elemental atomic sheets (Xenes), 2D transition metal dichalcogenides (TMDCs), 2D metal nitrides/carbides/carbonitrides (MXenes), 2D metal oxides, 2D metal phosphides, 2D metal halides, 2D mixed oxides, etc. and still new members are being explored. Owing to the occurrence of various structural phases of each 2D material and each exhibiting a unique electronic structure; bestows distinct physical and chemical properties. In the early years, world record electronic mobility and fractional quantum Hall effect of graphene attracted attention. Thanks to excellent electronic mobility, and extreme sensitivity of their electronic structures towards the adjacent environment, 2D materials have been employed as various ultrafast precision sensors such as gas/fire/light/strain sensors and in trace-level molecular detectors and disease diagnosis. 2D materials, their doped versions, and their hetero layers and hybrids have been successfully employed in electronic/photonic/optoelectronic/spintronic and straintronic chips. In recent times, quantum behavior such as the existence of a superconducting phase in moiré hetero layers, the feasibility of hyperbolic photonic metamaterials, mechanical metamaterials with negative Poisson ratio, and potential usage in second/third harmonic generation and electromagnetic shields, etc. have raised the expectations further. High surface area, excellent young’s moduli, and anchoring/coupling capability bolster hopes for their usage as nanofillers in polymers, glass, and soft metals. Even though lab-scale demonstrations have been showcased, large-scale applications such as solar cells, LEDs, flat panel displays, hybrid energy storage, catalysis (including water splitting and CO2 reduction), etc. will catch up. While new members of the flatland family will be invented, new methods of large-scale synthesis of defect-free crystals will be explored and novel applications will emerge, it is expected. Achieving a high level of in-plane doping in 2D materials without adding defects is a challenge to work on. Development of understanding of inter-layer coupling and its effects on electron injection/excited state electron transfer at the 2D-2D interfaces will lead to future generation heterolayer devices and sensors.

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.

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.

Design and Performance Analysis of a Rectangular Microstrip Line Feed Ultra-Wide Band Antenna

Ranjan Mishra,Jeevani Jayasinghe,Raj Gaurav Mishra,Piyush Kuchhal 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6

The research article presents the design and performance of a planar microstrip-line feed monopole antenna for Ultra-Wide band (UWB) frequency. The proposed antenna is consisting of a rectangular patch antenna loaded with a rectangular slot on its center position. The antenna is etched over a FR4 epoxy substrate with a dimension of 30 mm by 26 mm by 1.52 mm. The simulated and experimental results are compared and analysis showed a good proximity. The measured and simulated results confirm that the design covers the entire region of UWB range (4.1 GHz to 8.8 GHz). The measurement indicates that the designed antenna is a good candidate in terms of return loss, VSWR, radiation efficiency for UWB application.