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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.
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.
Modulation of signal transduction pathways by natural compounds in cancer
Ranjan, A.,Fofaria, N.M.,Kim, S.H.,Srivastava, S.K. Elsevier 2015 Chinese journal of natural medicines Vol.13 No.10
Cancer is generally regarded as the result of abnormal growth of cells. According to World Health Organization, cancer is the leading cause of mortality worldwide. Mother nature provides a large source of bioactive compounds with excellent therapeutic efficacy. Numerous phytochemicals from nature have been investigated for anticancer properties. In this review article, we discuss several natural compounds, which have shown anti-cancer activity. Natural compounds induce cell cycle arrest, activate intrinsic and extrinsic apoptosis pathways, generate Reactive Oxygen Species (ROS), and down-regulate activated signaling pathways, resulting in inhibition of cell proliferation, progression and metastasis of cancer. Several preclinical studies have suggested that natural compounds can also increase the sensitivity of resistant cancers to available chemotherapy agents. Furthermore, combining FDA approved anti-cancer drugs with natural compounds results in improved efficacy. On the basis of these exciting outcomes of natural compounds against several cancer types, several agents have already advanced to clinical trials. In conclusion, preclinical results and clinical outcomes against cancer suggest promising anticancer efficacy of agents from natural sources.
Ranjan Kumar Mallick,Rajesh Kumar Joshi 세계문화관광학회 2020 International Journal of Culture and tourism Resea Vol.13 No.1
This paper reflects about Rural Tourism Planning and infrastructure development in remote areas of Uttrakhnad. The intended objectives of rural tourism is to control rural migration, create new livelihood option for the villagers, and Conservation & Restoration of the Temple precincts when integrated with other facilities like the approach road and sanitation and services as part of the concerned subproject proposal, is to develop this area as an attractive destination for cultural and rural tourism. Under this Project, thrust will be to promote village tourism as the primary tourism product to spread tourism and its socio-economic benefits to rural and new geographic regions. Key geographic regions have been identified for development and promotion of Rural Tourism. The implementation would be done through a Convergence Committee headed by the District Magistrate. Activities like improving the natural environment, hygiene, socio-economic status, infrastructure etc. would be eligible for assistance.