RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
          펼치기
        • 등재정보
        • 학술지명
          펼치기
        • 주제분류
          펼치기
        • 발행연도
          펼치기
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Reduction in turbidity of Indian lakes through satellite imagery during COVID-19 induced lockdown

        Ashish Joshi,Shefali Agrawal 대한공간정보학회 2022 Spatial Information Research Vol.30 No.6

        The lakes of India are getting significantly polluted due to the rapid growth of industries, plastics, and anthropogenic waste. Due to the non-functioning of the industries and human activities during the COVID-19 pandemic lockdown, industrial and other waste going to the lakes was significantly reduced. Moreover, with the reduction of human activities and tourism in the cities and lakes, anthropogenic pollution in the lakes was also reduced. Turbidity is the key indicator of water pollution in the lakes. It has a direct relationship with surface water reflectance and can be estimated through satellite imagery. In this paper, the relative comparison of turbidity values of five Indian lakes in the Rajasthan state was done through Satellite imagery of Sentinel-2 during the pre-lockdown and lockdown period. The relative turbidity is also calculated through reflectance values of Satellite images and then the empirical method is applied to the reflectance values of the red band of Sentinel-2 & Landsat-8 data to estimate the turbidity. Relative comparisons of turbidity values estimated through satellite imagery during the pre-lockdown and lockdown period showed that the turbidity of lakes was reduced in Kaylana Lake (49.6%), Fatehsagar Lake (55.4%), Pichola Lake (54.3%), Rajsamand Lake (58.3%), and Man Sagar Lake (44.8%) during the lockdown period. Spectral curve analysis also showed that there was a decrease in the surface water reflectance in all five lakes and this indicates the reduction in the turbidity of the water during the lockdown period.

      • KCI등재

        Atmospheric carbon dioxide levels in Garhwal Himalaya, India Short title: Carbon dioxide levels in Garhwal Himalaya

        Ashish Anthwal,S.C Joshi,Archana Sharma,김기현,V. Joshi 한국지구과학회 2009 韓國地球科學會誌 Vol.30 No.5

        Measurements of atmospheric CO2 were made in the mountainous region of Srinagar-Garhwal, India (January to December 2006). Concentrations of CO2 averaged 393±4.9 ppm in 2006. Daily variations of CO2 values showed minimum during the daytime (376.2 ppm) and peaked in the morning/evening (410.1 ppm). At monthly intervals, the CO2 values varied from 367±11.14 (May) to 425.2±13.54 ppm (March). If divided on a seasonal basis, the values declined to minimum amounts in post-monsoon (389.9±9.0 ppm) and reached maximums during winter (397.1±11.6 ppm). Although phenology is significant in controlling CO2 levels, short-term changes cannot be explained without the anthropogenic perturbations (e.g., vehicular pollution and forest fires). The CO2 concentrations in Srinagar-Garhwal (393.4 ppm) were generally higher than those of other major monitoring locations around the world.

      • KCI등재

        Blogs as Channels for Disseminating Health Technology Innovations

        Ashish Joshi,Rinzin Wangmo,Chioma Amadi 대한의료정보학회 2017 Healthcare Informatics Research Vol.23 No.3

        Objectives: The objective of this study was to describe the features of health informatics blogs on the Internet. Methods: A search was conducted in August, 2016 using the search engine, Google, and key words: ‘mobile health blog,’ ‘telehealth/telemedicine blog,’ ‘Electronic Health Record blog,’ ‘personalized health record blog,’ ‘population health decision support system blog,’ and ‘public/population health dashboard blog.’ The first 24 blogs resulting from each key word search were recorded, generating 144 blogs. A total of 109 unique blogs resulted after removing duplicates and non-functional sites. Results: Blogs with ‘.com’ extensions were most prevalent (72%, n = 79). More than half of the blogs (79%, n = 86) were created by industries. Mobile health (88%, n = 96), telehealth (82%, n = 89), and health IT (78%, n = 85) were the predominant topics covered. Health providers (44%, n = 48), industries (33%, n = 36), patients/consumers (25%, n = 27) and payers/insurance providers (19%, n = 21) constituted the most common target audience. Blogs catering to payers commonly used ‘.org’ extension (n = 10 out of 21), compared to ‘.com’ (n = 7) or ‘.gov’ (n = 2) (p < 0.0001). Significant differences were also observed by topics covered health IT (p = 0.007), subscription (p = 0.048) and LinkedIn social media (p = 0.019) across the website extensions. Conclusions: Further research is needed to examine the use of blogs as channels of communication of best evidence in health informatics research among diverse stakeholders. The role of blogs as policy informatics tools need to be evaluated in order for stakeholders to collaborate, coordinate and share opportunities and challenges of various public health programs and policies.

      • KCI등재후보

        A class of accelerated sequential procedures with applications to estimation problems for some distributions useful in reliability theory

        Joshi, Neeraj,Bapat, Sudeep R.,Shukla, Ashish Kumar The Korean Statistical Society 2021 Communications for statistical applications and me Vol.28 No.5

        This paper deals with developing a general class of accelerated sequential procedures and obtaining the associated second-order approximations for the expected sample size and 'regret' (difference between the risks of the proposed accelerated sequential procedure and the optimum fixed sample size procedure) function. We establish that the estimation problems based on various lifetime distributions can be tackled with the help of the proposed class of accelerated sequential procedures. Extensive simulation analysis is presented in support of the accuracy of our proposed methodology using the Pareto distribution and a real data set on carbon fibers is also analyzed to demonstrate the practical utility. We also provide the brief details of some other inferential problems which can be seen as the applications of the proposed class of accelerated sequential procedures.

      • KCI등재

        Evaluating the Dietary and Nutritional Apps in the Google Play Store

        Harleigh Schumer,Chioma Amadi,Ashish Joshi 대한의료정보학회 2018 Healthcare Informatics Research Vol.24 No.1

        Objectives: The objective of this study was to evaluate the features of diet and nutrition apps available in the Google PlayStore. Methods: A search was conducted in August 2017 using the Google Play Store database to identify apps related to dietand nutrition. Terms entered into the app search engine included ‘diet apps’ and ‘nutrition apps’. The first 50 apps resultingfrom each search term was assessed. Duplicates were removed, and a comparative analysis was performed on the remainingdiet and nutrition apps. Results: A total of 86 diet and nutrition apps were identified. One hundred percent (n = 86) of theapps retrieved were freely available. More than half of the apps were applicable to a target user group of all ages (94%, n = 81). Stratified analysis across unique diet and nutrition apps (total, n = 72) showed a higher average rating for the diet apps (4.4)in comparison to that for the nutrition apps (4.3). Diet apps were more likely to be recently updated than the nutrition apps(72% vs. 66%), and diet apps were more likely to feature app purchase than nutrition apps (36% vs. 19%). The average ratingwas slightly higher for diet apps not featuring in-app purchases, but ratings were similar for the nutrition apps. Conclusions:A centralized resource is needed that can provide information on health-related apps to allow for systematic evaluation oftheir effectiveness. Further research needs to examine improved methods of designing app-store platforms and presentingthe available apps to properly guide users in app selection.

      • KCI등재

        Simultaneous Determination of Anthraquinone, Flavonoids, and Phenolic Antidiabetic Compounds from Cassia auriculata Seeds by Validated UHPLC Based MS/MS Method

        ( Aboli Girme ),( Ganesh Saste ),( Ashish Chinchansure ),( Swati Joshi ),( Rahul Kunkulol ),( Lal Hingorani ),( Bhushan Patwardhan ) 한국질량분석학회 2020 Mass spectrometry letters Vol.11 No.4

        A systematic isolation and characterization study for Cassia auriculata (CA) seeds resulted in identifying antidiabetic compounds 1,3,8-trihydroxyanthraquinone and quercetin, quercetin-3-O-rutinoside, gallic acid, caffeic acid, ferulic acid, and ellagic acid. The ultra-high-performance liquid chromatography based triple quadrupole mass spectrometry methodology was developed and validated for simultaneous identification and confirmation of these compounds from CA seeds. Multiple reaction monitoring (MRM) based quantification method was developed with MRM optimizer software for MS<sub>1</sub> and MS<sub>2</sub> mass analysis. The method was optimized on precursor ions and product ions with the ion ratio of each compound. The calibration curves of seven bioactive analytes showed excellent linearity (r<sup>2</sup> ≥ 0.99). The quantitation results found precise (RSD, < 10 %) with good recoveries (84.58 to 101.42%). The matrix effect and extraction recoveries were found within the range (91.66 to 102.11%) for the CA seeds. This is the first MS/MS-based methodology applied to quantifying seven antidiabetic compounds in CA seeds and its extract for quality control purposes.

      • KCI등재후보

        Wine Quality Evaluation Using Machine Learning Algorithms

        Xitiz Uniyal,Prashant Barthwal,Ashish Joshi 사단법인 미래융합기술연구학회 2017 아시아태평양융합연구교류논문지 Vol.3 No.4

        There are many prediction systems available for problems like stock exchange, medical diagnosis, insurance calculation, etc. Wine Quality is one area where there is a big opportunity to recommend a good quality of wine to users based on their preferences as well as in historical data. This paper describes the work to learn and assess whether a given wine sample is of good quality or not. The use of machine learning techniques specifically the linear regression with stochastic gradient descent were explored, and the features that perform well on this classification were engineered. The main aim is to develop a cost-effective system to acquire knowledge using data analysis through machine learning algorithms to predict the quality of wine in a better way.

      • KCI등재

        Diversity and Polymorphism in AHL-Lactonase Gene (aiiA) of Bacillus

        ( Huma Nusrat ),( Pratap Shankar ),( Jyoti Kushwah ),( Ashish Bhushan ),( Jayadev Joshi ),( Tanmoy Mukherjee ),( Sajan C. Raju ),( Hemant J. Purohit ),( Vipin Chandra Kalia ) 한국미생물 · 생명공학회 2011 Journal of microbiology and biotechnology Vol.21 No.10

        To explore bacterial diversity for elucidating genetic variability in acylhomoserine lactone (AHL) lactonase structure, we screened 800 bacterial strains. It revealed the presence of a quorum quenching (QQ) AHL-lactonase gene (aiiA) in 42 strains. These 42 strains were identified using rrs (16S rDNA) sequencing as Bacillus strains, predominantly B. cereus. An in silico restriction endonuclease (RE) digestion of 22 AHL lactonase gene (aiiA) sequences (from NCBI database) belonging to 9 different genera, along with 42 aiiA gene sequences from different Bacillus spp. (isolated here) with 14 type II REs, revealed distinct patterns of fragments (nucleotide length and order) with four REs; AluI, DpnII, RsaI, and Tru9I. Our study reflects on the biodiversity of aiiA among Bacillus species. Bacillus sp. strain MBG11 with polymorphism (115Alanine > Valine) may confer increased stability to AHL lactonase, and can be a potential candidate for heterologous expression and mass production. Microbes with ability to produce AHL-lactonases degrade quorum sensing signals such as AHL by opening of the lactone ring. The naturally occurring diversity of QQ molecules provides opportunities to use them for preventing bacterial infections, spoilage of food, and bioremediation.

      • KCI등재

        Cavernous sinus thrombosis following dental extraction : a rare case report and forgotten entity

        Karun Aggarwal,Sanjay Rastogi,Atul Joshi,Ashish Kumar,Archana Chaurasia,Rajat Prakash 대한구강악안면외과학회 2017 대한구강악안면외과학회지 Vol.43 No.5

        Prior to the advent of efficacious antimicrobial agents, the mortality rate from cavernous sinus thrombosis (CST) was effectively 100%. There have been very few reports of CST associated with tooth extraction. A 40-year-old female presented to the emergency room with swelling over the right side of the face and history of extraction in the upper right region by an unregistered dental practitioner. The patient presented with diplopia, periorbital ecchymosis, and chemosis of the right eye. A computed tomography scan revealed venous dilatation of the right superior ophthalmic vein. The patient was immediately treated with incision and drainage, intravenous antibiotics, and heparin (low molecular weight). Unfortunately, the patient died two days after surgery due to complications from the disease. CST is a rare disease with a high mortality rate. Therefore, dental health education in rural areas, legal action against unregistered dental practitioners, early diagnosis, and aggressive antibiotic treatment can prevent future mortality resulting from CST.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼