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  • 1
    Online Resource
    Online Resource
    Science Publishing Corporation ; 2018
    In:  International Journal of Engineering & Technology Vol. 7, No. 2.18 ( 2018-06-05), p. 32-
    In: International Journal of Engineering & Technology, Science Publishing Corporation, Vol. 7, No. 2.18 ( 2018-06-05), p. 32-
    Abstract: The forecasting of financial news is yet becoming the main issue to divide the new into different classes on the basis of present time series. Moreover, it might be utilized for predicting and analyzing the stock market for the particular industry. Thus, the new content is significantly important to influence market forecast report. In this paper, the financial news from four countries namely America, Australia, India and South Africa along with their stop words are consider. The words along with their weighted values are determined and then the neural network is trained. Here, artificial neural network is used for classifying the appropriate results for the given input data. At last the comparison of ANN with SVM is shown. Experiments show that the ANN classification provides high accuracy to predict the news than the SVM classifier. 
    Type of Medium: Online Resource
    ISSN: 2227-524X
    URL: Issue
    Language: Unknown
    Publisher: Science Publishing Corporation
    Publication Date: 2018
    detail.hit.zdb_id: 2661563-0
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  • 2
    In: Monaldi Archives for Chest Disease, PAGEPress Publications, ( 2021-09-16)
    Abstract: Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2 has varied manifestation with multisystem involvement. Acute coronary syndrome in COVID-19 as a result of stent thrombosis is an uncommon entity and is often due to hypercoagulable state. A 40-year-old male was referred to us with acute onset chest pain. He also reported fever, sore throat and dry cough for six days which mandated testing for COVID-19 which turned out to be positive. He had a prior history of coronary artery disease with a drug eluting stent implanted two years back. An electrocardiogram was suggestive of acute anterior wall myocardial infarction while echocardiogram revealed hypokinesia of left anterior descending (LAD) artery territory. Coronary angiogram revealed non-occlusive thrombus in proximal LAD stent. A Thrombolysis in Myocardial Infarction (TIMI) III flow was restored following balloon angioplasty with a non-compliant balloon and use of glycoprotein (GP) IIb-IIIa receptor antagonist. A diagnosis of very late stent thrombosis subsequent to COVID-19 was made.
    Type of Medium: Online Resource
    ISSN: 2532-5264 , 1122-0643
    Language: Unknown
    Publisher: PAGEPress Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2375904-5
    detail.hit.zdb_id: 2375907-0
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  • 3
    Online Resource
    Online Resource
    American Society for Horticultural Science ; 2014
    In:  Journal of the American Society for Horticultural Science Vol. 139, No. 6 ( 2014-11), p. 657-668
    In: Journal of the American Society for Horticultural Science, American Society for Horticultural Science, Vol. 139, No. 6 ( 2014-11), p. 657-668
    Abstract: Amplified fragment length polymorphism (AFLP) was used to assess genetic relatedness among 23 popular commercial cultivars of lychee ( Litchi chinensis ) and identify the markers associated with small-seeded cultivars. A combination of three primer pairs with high discriminatory ability was selected for resolving the identity of lychee cultivars. The marker system resolved the instances of synonymies and homonymies. The two cultivars, Dehrarose and Dehradun, whose names are often used interchangeably, could be discriminated by AFLP. A cultivar, Calcuttia (H), grown in the Punjab region was found genetically very similar to China (M) of Bihar region in India, suggesting that both could be the same clone. A number of cultivars with contrasting seed size were included in the study. The cultivars Bedana, Seedless Late, and China were positioned in one group, unlike the grouping previously reported based on morphological traits. The AFLP fingerprinting revealed five marker fragments exclusive to the genotypes, which bear fruit with small seed and large pulp.
    Type of Medium: Online Resource
    ISSN: 0003-1062 , 2327-9788
    Language: Unknown
    Publisher: American Society for Horticultural Science
    Publication Date: 2014
    detail.hit.zdb_id: 2040057-3
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  • 4
    In: Journal of Neurosurgery, Journal of Neurosurgery Publishing Group (JNSPG), Vol. 123, No. 5 ( 2015-11), p. 1133-1144
    Abstract: Brainstem cavernous malformations (CMs) are challenging due to a higher symptomatic hemorrhage rate and potential morbidity associated with their resection. The authors aimed to preoperatively define the relationship of CMs to the perilesional corticospinal tracts (CSTs) by obtaining qualitative and quantitative data using high-definition fiber tractography. These data were examined postoperatively by using longitudinal scans and in relation to patients’ symptomatology. The extent of involvement of the CST was further evaluated longitudinally using the automated “diffusion connectometry” analysis. METHODS Fiber tractography was performed with DSI Studio using a quantitative anisotropy (QA)-based generalized deterministic tracking algorithm. Qualitatively, CST was classified as being “disrupted” and/or “displaced.” Quantitative analysis involved obtaining mean QA values for the CST and its perilesional and nonperilesional segments. The contralateral CST was used for comparison. Diffusion connectometry analysis included comparison of patients’ data with a template from 90 normal subjects. RESULTS Three patients (mean age 22 years) with symptomatic pontomesencephalic hemorrhagic CMs and varying degrees of hemiparesis were identified. The mean follow-up period was 37.3 months. Qualitatively, CST was partially disrupted and displaced in all. Direction of the displacement was different in each case and progressively improved corresponding with the patient’s neurological status. No patient experienced neurological decline related to the resection. The perilesional mean QA percentage decreases supported tract disruption and decreased further over the follow-up period (Case 1, 26%–49%; Case 2, 35%–66%; and Case 3, 63%–78%). Diffusion connectometry demonstrated rostrocaudal involvement of the CST consistent with the quantitative data. CONCLUSIONS Hemorrhagic brainstem CMs can disrupt and displace perilesional white matter tracts with the latter occurring in unpredictable directions. This requires the use of tractography to accurately define their orientation to optimize surgical entry point, minimize morbidity, and enhance neurological outcomes. Observed anisotropy decreases in the perilesional segments are consistent with neural injury following hemorrhagic insults. A model using these values in different CST segments can be used to longitudinally monitor its craniocaudal integrity. Diffusion connectometry is a complementary approach providing longitudinal information on the rostrocaudal involvement of the CST.
    Type of Medium: Online Resource
    ISSN: 0022-3085 , 1933-0693
    RVK:
    RVK:
    Language: Unknown
    Publisher: Journal of Neurosurgery Publishing Group (JNSPG)
    Publication Date: 2015
    detail.hit.zdb_id: 2026156-1
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  • 5
    Online Resource
    Online Resource
    Journal of Neurosurgery Publishing Group (JNSPG) ; 2010
    In:  Journal of Neurosurgery Vol. 113, No. 1 ( 2010-07), p. 156-158
    In: Journal of Neurosurgery, Journal of Neurosurgery Publishing Group (JNSPG), Vol. 113, No. 1 ( 2010-07), p. 156-158
    Type of Medium: Online Resource
    ISSN: 0022-3085 , 1933-0693
    RVK:
    RVK:
    Language: Unknown
    Publisher: Journal of Neurosurgery Publishing Group (JNSPG)
    Publication Date: 2010
    detail.hit.zdb_id: 2026156-1
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  • 6
    In: Journal of Neurosurgery, Journal of Neurosurgery Publishing Group (JNSPG), Vol. 116, No. 5 ( 2012-05), p. 1062-1069
    Abstract: For patients with traumatic brain injury (TBI), current clinical imaging methods generally do not provide highly detailed information about the location of axonal injury, severity of injury, or expected recovery. In a case of severe TBI, the authors applied a novel high-definition fiber tracking (HDFT) to directly visualize and quantify the degree of axonal fiber damage and predict functional deficits due to traumatic axonal injury and loss of cortical projections. This 32-year-old man sustained a severe TBI. Computed tomography and MRI revealed an area of hemorrhage in the basal ganglia with mass effect, but no specific information on the location of axonal injury could be obtained from these studies. Examinations of the patient at Week 3 and Week 8 after TBI revealed motor weaknesses of the left extremities. Four months postinjury, 257-direction diffusion spectrum imaging and HDFT analysis was performed to evaluate the degree of axonal damage in the motor pathway and quantify asymmetries in the left and right axonal pathways. High-definition fiber tracking was used to follow corticospinal and corona radiata pathways from the cortical surface to the midbrain and quantify projections from motor areas. Axonal damage was then localized by assessing the number of descending fibers at the level of the cortex, internal capsule, and midbrain. The motor deficit apparent in the clinical examinations correlated with the axonal losses visualized using HDFT. Fiber loss estimates at 4 months postinjury accurately predicted the nature of the motor deficits (severe, focal left-hand weakness) when other standard clinical imaging modalities did not. A repeat scan at 10 months postinjury, when edema and hemorrhage had receded, replicated the fiber loss. Using HDFT, the authors accurately identified the presence and location of damage to the underlying white matter in this patient with TBI. Detailed information of injury provided by this novel technique holds future potential for precise neuroimaging assessment of TBI.
    Type of Medium: Online Resource
    ISSN: 0022-3085 , 1933-0693
    RVK:
    RVK:
    Language: Unknown
    Publisher: Journal of Neurosurgery Publishing Group (JNSPG)
    Publication Date: 2012
    detail.hit.zdb_id: 2026156-1
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  • 7
    Online Resource
    Online Resource
    Academy and Industry Research Collaboration Center (AIRCC) ; 2011
    In:  International Journal of Wireless & Mobile Networks Vol. 3, No. 5 ( 2011-10-30), p. 125-140
    In: International Journal of Wireless & Mobile Networks, Academy and Industry Research Collaboration Center (AIRCC), Vol. 3, No. 5 ( 2011-10-30), p. 125-140
    Type of Medium: Online Resource
    ISSN: 0975-4679
    URL: Issue
    Language: Unknown
    Publisher: Academy and Industry Research Collaboration Center (AIRCC)
    Publication Date: 2011
    detail.hit.zdb_id: 2534826-7
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  • 8
    Online Resource
    Online Resource
    Frontiers Media SA ; 2014
    In:  Frontiers in Psychology Vol. 5 ( 2014)
    In: Frontiers in Psychology, Frontiers Media SA, Vol. 5 ( 2014)
    Type of Medium: Online Resource
    ISSN: 1664-1078
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2014
    detail.hit.zdb_id: 2563826-9
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  • 9
    Online Resource
    Online Resource
    Science Publishing Corporation ; 2018
    In:  International Journal of Engineering & Technology Vol. 7, No. 2.18 ( 2018-06-05), p. 40-
    In: International Journal of Engineering & Technology, Science Publishing Corporation, Vol. 7, No. 2.18 ( 2018-06-05), p. 40-
    Abstract: In recent times, more and more social data is transmitted in different ways. Protecting the privacy of social network data has turn out to be an essential issue. Hypothetically, it is assumed that the attacker utilizes the similar information used by the genuine user. With the knowledge obtained from the users of social networks, attackers can easily attack the privacy of several victims. Thus, assuming the attacks or noise node with the similar environment information does not resemble the personalized privacy necessities, meanwhile, it loses the possibility to attain better utility by taking benefit of differences of users’ privacy necessities. The traditional research on privacy-protected data publishing can only deal with relational data and even cannot applied to the data of social networking. In this research work, K-anonymity is used for providing the security of the sensitive information from the attacker in the social network. K-anonymity provides security from attacker by making the graph and developing nodes degree. The clusters are made by grouping the similar degree into one group and the process is repeated until the noisy node is identified. For measuring the efficiency the parameters named as Average Path Length (APL) and information loss are measured. A reduction of 0.43% of the information loss is obtained.  
    Type of Medium: Online Resource
    ISSN: 2227-524X
    URL: Issue
    Language: Unknown
    Publisher: Science Publishing Corporation
    Publication Date: 2018
    detail.hit.zdb_id: 2661563-0
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  • 10
    Online Resource
    Online Resource
    Science Publishing Corporation ; 2018
    In:  International Journal of Engineering & Technology Vol. 7, No. 3 ( 2018-07-08), p. 1372-
    In: International Journal of Engineering & Technology, Science Publishing Corporation, Vol. 7, No. 3 ( 2018-07-08), p. 1372-
    Abstract: ‘Sentiment’ literally means ‘Emotions’. Sentiment analysis, synonymous to opinion mining, is a type of data mining that refers to the analy-sis of data obtained from microblogging sites, social media updates, online news reports, user reviews etc., in order to study the sentiments of the people towards an event, organization, product, brand, person etc. In this work, sentiment classification is done into multiple classes. The proposed methodology based on KNN classification algorithm shows an improvement over one of the existing methodologies which is based on SVM classification algorithm. The data used for analysis has been taken from Twitter, this being the most popular microblogging site. The source data has been extracted from Twitter using Python’s Tweepy. N-Gram modeling technique has been used for feature extraction and the supervised machine learning algorithm k-nearest neighbor has been used for sentiment classification. The performance of proposed and existing techniques is compared in terms of accuracy, precision and recall. It is analyzed and concluded that the proposed technique performs better in terms of all the standard evaluation parameters. 
    Type of Medium: Online Resource
    ISSN: 2227-524X
    URL: Issue
    Language: Unknown
    Publisher: Science Publishing Corporation
    Publication Date: 2018
    detail.hit.zdb_id: 2661563-0
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