• Imaging Science in Dentistry
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• 제50권3호
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• pp.193-198
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• 2020

Purpose: This study investigated knowledge, attitudes, and perceptions regarding the future of artificial intelligence (AI) for radiological diagnosis among dental specialists in central India. Materials and Methods: An online survey was conducted consisting of 15 closed-ended questions using Google Forms and circulated among dental professionals in central India. The survey consisted of questions regarding participants' recognition of and attitudes toward AI, their opinions on directions of AI development, and their perceptions regarding the future of AI in oral radiology. Results: Of the 250 participating dentists, 68% were already familiar with the concept of AI, 69% agreed that they expect to use AI for making dental diagnoses, 51% agreed that the major function of AI would be the interpretation of complicated radiographic scans, and 63% agreed that AI would have a future in India. Conclusion: This study concluded that dental specialists were well aware of the concept of AI, that AI programs could be used as an adjunctive tool by dentists to increasing their diagnostic precision when interpreting radiographs, and that AI has a promising role in radiological diagnosis.

• 재활복지
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• 제22권4호
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• pp.23-41
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• 2018

많은 NGO 단체들은 장애인들의 재활과 권리를 보장하기 위하여 오랜시간동안 중요한 역할을 수행해 왔다. 그러나 많은 단체들이 장애인들의 권익과 복지향상을 위한 장기간의 자발적인 노력에도 불구하고 개발도상국의 장애인들은 여전히 힘들고 열악한 상황에 있다. 이에 본 논문은 세계적으로 많은 NGO단체들이 활동하고 있는 인도를 중심으로, 그들의 NGO 활동이 보다 효과적인 결과를 가져오게 올 수 있도록 활동 전략을 제시하되, 지역사회중심재활(CBR) 패러다임을 적용하고자 한다. 인도와 같은 개발도상국의 장애인을 위한 재활전략으로 CBR이 효과적인라는 많은 연구들이 있어 왔다. 이를 위하여 본 논문은 우선 인도의 장애인에 대한 사회적 인식과 주요 현황, 그리고 재활서비스에 대한 정보를 제공하였다. 그리고 그들의 권리를 지속적으로 보장하기 위한 중요한 전략 중 하나인 CBR을 중심으로, NGO 실무자 및 자원봉사자의 역할, 지역사회의 리더 및 장애인 당사자와 관련단체들의 역할에 대한 몇가지 제언을 하였다.

• Journal of Microbiology and Biotechnology
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• 제21권6호
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• pp.574-581
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• 2011

A Gram-positive bacterium was isolated from the saline soils of Jangpura (U.P.), India, and showed high-level of radiation-resistant property and survived upto 12.5 kGy dose of gamma radiation. The 16S rDNA sequence of this strain was examined, identified as Bacillus sp. strain HKG 112, and was submitted to the NCBI GenBank (Accession No. GQ925432). The mechanism of radiation resistance and gene level expression were examined by proteomic analysis of whole-cell extract. Two proteins, 38 kDa and 86.5 kDa excised from SDS-PAGE, which showed more significant changes after radiation exposure, were identified by MALDI-TOF as being flagellin and S-layer protein, respectively. Twenty selected 2-DE protein spots from the crude extracts of Bacillus sp. HKG 112, excised from 2- DE, were identified by liquid chromatography mass spectrometry (LC-MS) out of which 16 spots showed significant changes after radiation exposure and might be responsible for the radiation resistance property. Our results suggest that the different responses of some genes under radiation for the expression of radiation-dependent proteins could contribute to a physiological advantage and would be a significant initial step towards a fullsystem understanding of the radiation stress protection mechanisms of bacteria in different environments.

• 정보교육학회논문지
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• 제18권4호
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• pp.585-594
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• 2014

현재의 CMC 컴퓨터 사이언스 교육과정은 2006년부터 개발이 진행되어 2013년에 확정되었으며, 1학년부터 8학년까지 적용되고 있다. CMC에서는 컴퓨터에 대한 유창성 개발하기, 컴퓨터와 관련된 생각의 기술 개발하기, 서로 연결될 수 있는 지식에 초점두기를 교육과정의 기저로 삼았다. 이를 토대로, 생각하는 방법, 생각하는 방법과 필수개념을 융합하는 컴퓨터의 활용, 주제중심 융합, 나선형 교육과정, 전문가로써의 역량 갖기의 다섯 가지를 핵심요소로 삼고 전국 공통의 컴퓨터 교육과정을 개발하였다. 이를 위해 정부 주관의 전국 단위 컴퓨터 교육연수 및 교과서 개발이 이루어졌으며, 더욱 강화하고자 노력하고 있다. 이는 K-12의 교과로서 컴퓨터교육의 필요성에 대한 화두와 교육내용에서 소프트웨어 교육과 컴퓨터적 사고(Computational Thinking)에 대한 당위성에 대하여 소프트웨어 강국인 인도의 사례를 통해 직 간접적으로 시사점을 도출할 수 있다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권22호
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• pp.9955-9960
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• 2014

Background: Promoter hypermethylation is a common event in human cancer. O6-methylguanine-DNA methyltransferase (MGMT) is a gene involved in DNA repair, which is methylated in a variety of cancers. We aimed to explore the methylation status of MGMT gene among the North Eastern population where esophageal cancer incidence and exposure to carcinogens like nitrosamines is high. Materials and Methods: A total of 100 newly diagnosed esophageal cancer cases along with equal number of age, sex and ethnicity matched controls were included in this study. Methylation specific PCR was used to determine the MGMT methylation status in serum samples. Results: Aberrant promoter methylation of the MGMT gene was detected in 70% of esophageal cancer cases. Hypermethylation of MGMT gene was found to be influenced by environmental factors like betel quid and tobacco which contain potent carcinogens like nitrosamines. Tobacco chewing and tobacco smoking habit synergistically with MGMT methylation elevated the risk for esophageal cancer development [adjusted OR=5.02, 95% CI=1.35-18.74; p=0.010 for tobacco chewing and Adjusted OR=3.00, 95% CI=1.22-7.36; p=0.014 for tobacco smoking]. Conclusions: Results suggest that the DNA hypermethylation of MGMT is an important mechanism for MGMT gene silencing resulting in esophageal cancer development and is influenced by the environmental factors. Thus MGMT hypermethylation can be used as a biomarker for esophageal cancer in high incidence region of North East India.

• International Journal of Knowledge Content Development & Technology
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• 제10권4호
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• pp.29-46
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• 2020

The paper describes the quantitative and qualitative dimensions of artificial neural networks (ANN) in India in the global context. The study is based on research publications data (8260) as covered in the Scopus database during 1999-2018. ANN research in India registered 24.52% growth, averaged 11.95 citations per paper, and contributed 9.77% share to the global ANN research. ANN research is skewed as the top 10 countries account for 75.15% of global output. India ranks as the third most productive country in the world. The distribution of research by type of ANN networks reveals that Feed Forward Neural Network type accounted for the highest share (10.18% share), followed by Adaptive Weight Neural Network (5.38% share), Feed Backward Neural Network (2.54% share), etc. ANN research applications across subjects were the largest in medical science and environmental science (11.82% and 10.84% share respectively), followed by materials science, energy, chemical engineering and water resources (from 6.36% to 9.12%), etc. The Indian Institute of Technology, Kharagpur and the Indian Institute of Technology, Roorkee lead the country as the most productive organizations (with 289 and 264 papers). Besides, the Indian Institute of Technology, Kanpur (33.04 and 2.76) and Indian Institute of Technology, Madras (24.26 and 2.03) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. P. Samui and T.N. Singh have been the most productive authors and G.P.S.Raghava (86.21 and 7.21) and K.P. Sudheer (84.88 and 7.1) have been the most impactful authors. Neurocomputing, International Journal of Applied Engineering Research and Applied Soft Computing topped the list of most productive journals.

• International Journal of Knowledge Content Development & Technology
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• 제11권4호
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• pp.101-111
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• 2021

The world is going through the most unprecedented time with the outbreak of novel Coronavirus disease (COVID-19), which has become a threat to millions. A Coronavirus is a group of viruses that cause a variety of diseases in mammals and birds leading to a range of illnesses in humans including common cold and more severe forms like severe acute respiratory syndrome Coronavirus (SARS-CoV), Middle East respiratory syndrome Coronavirus (MERS-CoV) and COVID-19, which are life-threatening. The virus gets its name from its shape which takes the form of a crown with protrusions around it. In December 2019, a pneumonia outbreak was reported in the Wuhan City of China, which was later traced to a novel strain of Coronavirus and termed as Novel COVID-19. It typically causes flu-like symptoms including fever, cough and shortness of breath and is transmitted through human-to-human and there is no cure for it till now. Thus, this bibliometric study has been carried out to analyze the research progress in Coronavirus and literature published during a period of 30 years (1989-2019). Data for the study were fetched from Web of Science(WoS) multidisciplinary database and the publication trends in terms of total articles, productive countries, institutions, journals, productive authors, most cited articles and authors, etc have been analyzed. In total, 4917 articles were retrieved; these were from 711 sources and were contributed by 14442 authors. The collaboration index was 3.11, which clearly indicates that there has been a lot of collaboration in this field. The most preferred journal for the study period was "Journal of Virology" and the maximum contribution has been from the University of Hong Kong.

• Asian Journal of Innovation and Policy
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• 제4권2호
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• pp.154-177
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• 2015

India faces a formidable challenge in ensuring security of access to modern energy carriers to majority of its population. The fossil-fuel dominated centralized energy system has proved to be ineffective in creating sustainable access to energy, which suggests need for a radical and innovative approach. We present such an approach. First, the need for innovations given the implications of lack of energy access on sustainable development is assessed. Next, possible innovations with respect to technologies, policies, institutions, markets, financial instruments and business models are discussed. Finally, an economic and financial feasibility of implementing such innovations are analyzed. The results indicate that such a proposal needs an investment of US$ 26.2 billion over a period of 20 years for a GHG mitigation potential of 213Tg $CO_{2e}$. The proposition is profitable for the enterprises with IRRs in the range of 39%-66%. The households will get lifeline access to electricity and gas for cooking at an affordable monthly cost of about US$ 5.7.

• Water Engineering Research
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• 제2권3호
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• pp.161-169
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• 2001

Present study deals with the development of a numerical model for the estimation of net annual recharge by coupling the Galerkin's finite element flow simulationl model with the Gauss-Newton-Marquardt optimization technique. The developed coupled numerical model is applied for estimating net annual recharge for Mahi Right Bank Canal (MRBC) project the norms of Groundwater Resources Estimation committee (1984, 1997) and Indian Agricultural research Institute(1983). It is observed that the estimated net recharge by inverse modeling is closer to the net recharge estimated using the water balance approach. Further it is observed that the computed head distribution from the estimated recharge agree closely with the observed head distribution. The study concludes that the developed model for inverse modeling can be successfully applied to large groundwater system involving regional aquifers where reliable recharge estimation always requires considerable time and financial resources.

• Asian Journal of Business Environment
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• 제6권1호
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• pp.25-30
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• 2016

Purpose - The study aims to examine the students' perspective (stream wise) of parameters affecting the undergraduate engineering education system present in a private technical institution in NCR, Haryana, India. Research design, data, and methodology - It is a descriptive type of research in nature. Questionnaire Based Survey has been used to collect the data. The sample size for the study is 500 comprising of the students respondents. The sample has been taken randomly and the questionnaire was filled by the students (pursuing B. Tech) chosen on the random basis from a private technical educational institution in NCR, Haryana, India. For data analysis and conclusion of the results of the survey, statistical tool like F test was performed with the help of high quality software; SPSS. Conclusion - Analysis of variance revealed statistically no difference between the mean number of the groups (stream wise) for the parameters "Selection", "Academic Excellence", "Infrastructure", "Personality Development and Industry Exposure" and "Management and Administration". While Analysis of variance revealed statistically difference between the mean numbers of the groups for the parameter "Placements".