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The computerization of our society has substantially enhanced our capabilities for both generating and collecting data from diverse sources. A tremendous amount of data has flooded almost every aspect of our lives. There is a need in transforming the vast amount of data into useful information and knowledge. This has led to the generation of promising and flourishing frontier in computer science called data mining. Data mining is the automated or convenient extraction of patterns representingdoi:10.17148/ijarcce.2017.6503 fatcat:ebz76tvhxneurbwfgffshqwv4a
more »... owledge implicitly stored or captured in large databases, data warehouses, the web, other massive information repositories or data streams.
World Wide Web is a vast resource of data growing continuously. Nowadays, it becomes increasingly hard for users to retrieve useful data due to the continually rapid growth in data volume. This vast amount of data is making search more and more difficult with traditional search engine as they return huge data for a given query which is consisting of relevant as well as irrelevant data. This is not only results in wastage of user time but also lead to data overload problem. So, users are notdoi:10.1016/j.proeng.2013.09.070 fatcat:drwsbx2jdzemjewb6en2nmzjuy
more »... sfied with searching the information by traditional search engine. So the problem of re-ranking search pages or results has become one of the main problems in IR field. Currently searching methods are mainly based on keyword matching technique but this technique has some weaknesses. The first weakness is that web users cannot express their search intention accurately or properly using several keywords. So most of the time, the exactly matched results do not satisfy the web users. Second weakness is that keyword matching cannot sure the selected candidates have high correlation m about traditional search engines is their ranking methods. To fulfil the requirement of users we are using Semantic search engine with page ranking algorithm which will search the data semantically and holds the capability to re-rank search results effectively and try the best to arrange the web results which are most relevant for the users. The proposed algorithm for page ranking is based on result of semantic web with user attention time.
Himanshu Sharma, and team members Vishesh, Stephen, and Prabhat for meaningful discussions about the contents of this research paper. we will try to make our web App more dynamic and give some extra features ...doi:10.17762/turcomat.v12i3.1667 fatcat:e7afciyofnbpdckd2hg5zfqlhi
BMJ Case Reports
BMJ Case Reports
Yadav, 1 Kashish Khanna, 1 Vishesh Jain, 1 Amat Us Samie 2 Images in… to cite: Yadav DK, Khanna K, Jain V, et al. ... and teaching without further permission For information on Institutional Fellowships contact email@example.com Ileocolic resection without detorsion (eventually with pexy of the Devendra Kumar ...doi:10.1136/bcr-2017-222247 pmid:29038196 fatcat:zjcyuso6znflxbi6mmdq2z6e2y
Application of Genetics and Genomics in Poultry Science
Aviagen started developing its first SNP panel for chicken; the chip density increased from 6 K  , to 12 K , 42 K  Vishesh Kumar Saxena* and Gautham Kolluri *Address all correspondence to ...doi:10.5772/intechopen.77966 fatcat:llu5q3w7bfhk3mv4bzgvxvcmuy
Association rule has been an area of active research in the field of knowledge discovery. Data mining researchers had improved upon the quality of association rule mining for business development by incorporating influential factors like value (utility), quantity of items sold (weight) and more for the mining of association patterns. In this paper, we propose an efficient approach to find maximal frequent itemset first. Most of the algorithms in literature used to find minimal frequent itemarXiv:1210.8229v1 fatcat:crqhacvgojcgfo2jnq2bbopzva
more »... t, then with the help of minimal frequent itemsets derive the maximal frequent itemsets. These methods consume more time to find maximal frequent itemsets. To overcome this problem, we propose a navel approach to find maximal frequent itemset directly using the concepts of subsets. The proposed method is found to be efficient in finding maximal frequent itemsets.
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured a new longitudinal corpus of 1,304 records representing 296 diabetic patients. The corpus contains three cohorts: patients who have a diagnosis of coronary artery disease (CAD) in their first record, and continue to have it in subsequent records; patients who do not have a diagnosis of CAD in the first record, but develop it by the last record; patients who do not have a diagnosis of CAD in any record. This paperdoi:10.1016/j.jbi.2015.09.018 pmid:26433122 pmcid:PMC4978168 fatcat:awxawdb3ujbqjoap6uaioxxwlm
more »... ls the process used to select records for this corpus and provides an overview of novel research uses for this corpus. This corpus is the only annotated corpus of longitudinal clinical narratives currently available for research to the general research community.
D (2015) Single nucleotide polymorphism mining and nucleotide sequence analysis of Mx1 gene in exonic regions of Japanese quail, Veterinary World 8(12): 1435-1443. Abstract Aim: An attempt has been made to study the Myxovirus resistant (Mx1) gene polymorphism in Japanese quail. Materials and Methods: In the present, investigation four fragments viz. Fragment I of 185 bp (Exon 3 region), Fragment II of 148 bp (Exon 5 region), Fragment III of 161 bp (Exon 7 region), and Fragment IV of 176 bpdoi:10.14202/vetworld.2015.1435-1443 pmid:27047057 pmcid:PMC4774823 fatcat:5qwqfhhyv5entflmhkjwfy2vae
more »... 13 region) of Mx1 gene were amplified and screened for polymorphism by polymerase chain reaction-single-strand conformation polymorphism technique in 170 Japanese quail birds. Results: Out of the four fragments, one fragment (Fragment II) was found to be polymorphic. Remaining three fragments (Fragment I, III, and IV) were found to be monomorphic which was confirmed by custom sequencing. Overall nucleotide sequence analysis of Mx1 gene of Japanese quail showed 100% homology with common quail and more than 80% homology with reported sequence of chicken breeds. Conclusion: The Mx1 gene is mostly conserved in Japanese quail. There is an urgent need of comprehensive analysis of other regions of Mx1 gene along with its possible association with the traits of economic importance in Japanese quail.
This study focuses on assessing smartphone camera characteristics for developing an economic smartphone-based Particle Image Velocimetry (PIV) system. In the investigation, flow around a cylinder was visualized using two commercially-available smartphones (OnePlus 5T and iPhone X) cameras and low-intensity laser diodes. Hydrogen bubbles generated from electrolysis (termed Bubble Image Velocimetry) of aluminum electrodes were used as seeding medium. OpenPIV, an open-source toolbox, was used forarXiv:2002.01061v2 fatcat:r2vulkoln5fvtkn4nyp33xh3aq
more »... rocessing captured images and obtaining the flow fields. A parametric analysis of the two smartphones was conducted across varying camera characteristics such as ISO, exposure compensation and frame rate. The results obtained through experimentation were compared with the results of a validated computational fluid dynamics (CFD) study with the same flow conditions and were found to be in good agreement, with deviation ranging from 1% to 3.5% for iPhone X and 1% to 7% for OnePlus 5T. It was observed that a higher frame rate results in greater accuracy of the measurement. Further, an exposure compensation of -1 EV and an ISO of 400 was found to produce results with the least error as compared to CFD values.
Vishesh Kumar Maurya Chemical Reaction: N H N R + N Cl N N R N NaH MWI 20 novel Thiazole derivatives with elemental analysis: PD1 N N N CH 3 1-(2-(piperidin-1-yl)ethyl)-2-p-tolyl-1H-benzo[d] PD2 N ...doi:10.5281/zenodo.2793314 fatcat:ptugs4dktrcwnngronurq3hnne
This document gives details about the big data analytics. The methodology used in it and Also, some definitions related to it. It specifies the techniques, technology and barriers faced while using big data. It has achieved a position of incredible significance & is turning into the decision for new inquires about. To locate the helpful data from huge measure of information to associations, we have to dissect the information. Dominance of information examination is needed to get the data fromdoi:10.22214/ijraset.2020.6126 fatcat:h52pv37covgqzlfpyz3pgqfxwq
more »... formed information on net as writings, pictures, recordings or web based life posts Because of the fast development of such information, arrangements should be examined and given so as to deal with and extricate It tells us about its applications in various sectors with challenges and barriers discussed in the last. A viewpoint can be generated after this research paper of big data analytics.
In the present article, the linear and the nonlinear deformation behaviour of functionally graded (FG) spherical shell panel are examined under thermomechanical load. The temperaturedependent effective material properties of FG shell panel are evaluated using Voigt's micro-mechanical rule in conjunction with power-law distribution. The nonlinear mathematical model of the FG shell panel is developed based on higher-order shear deformation theory and Green-Lagrange type geometrical nonlinearity.doi:10.1016/j.cja.2015.12.007 fatcat:qruhn3llnfey3iubl5htfrrfkq
more »... he desired nonlinear governing equation of the FG shell panel is computed using the variational principle. The model is discretised through suitable nonlinear finite element steps and solved using direct iterative method. The convergence and the validation behaviour of the present numerical model are performed to show the efficacy of the model. The effect of different parameters on the nonlinear deformation behaviour of FG spherical shell panel is highlighted by solving numerous examples.
Quantitative phase microscopy (QPM) is a label-free technique that enables to monitor morphological changes at subcellular level. The performance of the QPM system in terms of spatial sensitivity and resolution depends on the coherence properties of the light source and the numerical aperture (NA) of objective lenses. Here, we propose high space-bandwidth QPM using partially spatially coherent optical coherence microscopy (PSC-OCM) assisted with deep neural network. The PSC source synthesizedarXiv:2007.02397v1 fatcat:vrxeogtt7bbuzhk3o5gwpzylde
more »... improve the spatial sensitivity of the reconstructed phase map from the interferometric images. Further, compatible generative adversarial network (GAN) is used and trained with paired low-resolution (LR) and high-resolution (HR) datasets acquired from PSC-OCM system. The training of the network is performed on two different types of samples i.e. mostly homogenous human red blood cells (RBC) and on highly heterogenous macrophages. The performance is evaluated by predicting the HR images from the datasets captured with low NA lens and compared with the actual HR phase images. An improvement of 9 times in space-bandwidth product is demonstrated for both RBC and macrophages datasets. We believe that the PSC-OCM+GAN approach would be applicable in single-shot label free tissue imaging, disease classification and other high-resolution tomography applications by utilizing the longitudinal spatial coherence properties of the light source.
Plant Science Today
Sagar and Kumar (78) evaluated antiviral activity of natural compounds from T. cordifolia against SARS-CoV-2 using in silco tools against 4 targets of SARS-CoV-2, which includes RNA dependent RNA polymerase ...doi:10.14719/pst.1525 fatcat:wrzb3pdrjze2xklvu3hqrniv5a
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