597 research outputs found

    Predicting users’ behavior using mouse movement information: an information foraging theory perspective

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    The prediction of users’ behavior is essential for keeping useful information on the web. Previous studies have used mouse cursor information in web usability evaluation and designing user-oriented search interfaces. However, we know fairly to a small extent pertaining to user behavior, specifically clicking and navigating behavior, for prolonged search session illustrating sophisticated search norms. In this study, we perform extensive analysis on a mouse movement activities dataset to capture every users’ movement pattern using the effects of information foraging theory (IFT). The mouse cursor movement information dataset includes the timing and positioning information of mouse cursors collected from several users in different sessions. The tasks vary in two dimensions: (1) to determine the interactive elements (i.e., information episodes) of user interaction with the site; (2) adopt these findings to predict users’ behavior by exploiting the LSTM model. Our model is developed to find the main patterns of the user’s movement on the site and simulate the behavior of users’ mouse movement on any website. We validate our approach on a mouse movement dataset with a rich collection of time and position information of mouse pointers in which searchers and websites are annotated by web foragers and information patches, respectively. Our evaluation shows that the proposed IFT-based effects provide an LSTM model a more accurate interpretative exposition of all the patterns in the movement of the users’ mouse cursors across the screen

    Socio-cultural sustainability of private healthcare providers in an Indian slum setting: A bottom-of-the-pyramid perspective

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    Delivery of affordable healthcare services to communities is a necessary precondition to poverty alleviation. Co-creation approaches to the development of business models in the healthcare industry proved particularly suitable for improving the health-seeking behavior of BOP patients. However, scant research was conducted to understand BOP consumers’ decision-making process leading to specific healthcare choices in slum settings, and the relative balance of socio-cultural and socio-economic factors underpinning patients’ preferences. This article adopts a mixed-method approach to investigate the determinants of BOP patients’ choice between private and public hospitals. Quantitative analysis of a database, composed of 436 patients from five hospitals in Ahmedabad, India, indicates that BOP patients visit a public hospital significantly more than top-of-the-pyramid (TOP) patients. However, no significant difference emerges between BOP and TOP patients for inpatient or outpatient treatments. Qualitative findings based on 21 interviews with BOP consumers from selected slum areas led to the development of a grounded theory model, which highlights the role of aspirational demand of BOP patients toward private healthcare providers. Overall, healthcare provider choice emerges as the outcome of a collective socio-cultural decision-making process, which often assigns preference for private healthcare services because of the higher perceived quality of private providers, while downplaying affordability concerns. Implications for healthcare providers, social entrepreneurs, and policy-makers are discussed

    Impact of Educational Intervention Measures on Knowledge regarding HIV/ Occupational Exposure and Post Exposure Prophylaxis among Final Year Nursing Students of a Tertiary Care Hospital in Central India

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    Amongst the different Health Care Personnel nurses are at a greater risk of being accidentally exposed to HIV and other Blood Borne Pathogens. The present study was conducted among 50 final year nursing students of a Medical College Hospital to assess the knowledge regarding HIV, occupational exposure and Post Exposure Prophylaxis (PEP) among the students and analyses the impact of educational intervention measures on the issues amongst the study subjects. A Pre-designed and Pre-tested semi-structured questionnaire was used to evaluate the level of knowledge before and after educational intervention sessions. Knowledge regarding risk of transmission of HIV by needle-stick injury and body fluids against which universal precautions were mandatory increased by 72% following the intervention sessions (χ2 = 53.202, p <0.001). 72% and 36% respondents correctly knew the duration within which to start PEP and the drugs available for PEP, post educational sessions 98% and 96% students were aware of it: the difference being statistically significant (χ2 = 11.294, p <0.001) and (χ2 = 37.748, p <0.001) respectively. The mean pre-intervention score was 8.32; mean post-intervention score was 14.40: statistical analysis showed the results to be significant (t= 13.857, p< 0.001). The study reflects that there is a dearth of knowledge among the study group. Incorporating the concerned issues in the academic curriculum to provide the students with adequate knowledge and information during their formative years is needed

    Diversity of pectinolytic molds on major indian mango cultivars

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    The diversity of pectinolytic fungi on nine major Indian mango cultivars was studied. A total of 71 moulds belonging to 10 genera and 18 species were isolated from fruit surfaces, 49 of which showed pectinase activity. Aspergillus niger was the most frequent (30%) followed by A. fumigatus, A. flavus, A. alternata, Fusarium oxysporium, A. roseogriseum and Paecilomyces variotti. A. niger isolated from the Banganapalli cultivar from Andhra Pradesh in 2010 showed the highest pectinolytic activity. The majority of the fungi showed wide pH tolerances indicating that they could be important candidates for the production of enzymes using liquid media containing mango peel, a by-product of the mango-processing industry.Keywords: Pectinase activity; pectinolytic zone; pH, A. niger; diversity index

    Effect of levothyroxine therapy on hypertension in hypothyroid patients

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    ABSTRACT: The aim of this study was to observe whether levothyroxine replacement therapy has an effect on hypertension in patients of hypothyroidism. This prospective study included all newly diagnosed cases of hypothyroidism (overt or subclinical) with hypertension, of either sex between 21-70 years of age. Levothyroxine replacement therapy was administered continuously during study period. Patients were clinically assessed for blood pressure before and every 3-4 monthly on levothyroxine therapy. Statistical analysis was carried out using a paired Student&rsquo;s t-test. During one year study period, out of 180 newly diagnosed hypothyroid cases enrolled, 88 had overt hypothyroidism (OH) and 92 subclinical hypothyroidism (SH). Male: female ratio was 1: 6.5. Of these, hypertension was present in 51 (28.33%) patients (33 OH and 18 SH). Only diastolic blood pressure was raised in 28(54.9%) cases, systolic in 12 (23.53%) and both systolic and diastolic in 11 (21.57%) cases. Incidence of only diastolic hypertension was comparatively more in overt hypothyroidism (57.57%) than subclinical hypothyroidism (50%). Complete reversal of hypertension was observed in 8 out of 17 SH and 18 out of 29 OH cases while partial reversal was noted in one case in each category. A statistically significant decrease in mean values of both systolic and diastolic blood pressure was observed in patients of SH as well as OH. Hypertension is fairly common in patients of hypothyroidism. Replacement therapy with levothyroxine is quite helpful in reversing hypertension, a potential cardiovascular risk factor.KEYWORDS: Hypertension; Hypothyroidism; Levothyroxine therapyInternet Journal of Medical Update 2012 January;7(1):13-1

    DT-diaphorase activity in NSCLC and SCLC cell lines: a role for fos/jun regulation

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    To assess the potential differential lung tumour expression of NAD(P)H:quinone reductase (NQO1), the human (h) NQO1 promoter was characterized in gene transfer studies. A deletion panel of 5′ flanking hNQO1 promoter constructs was made and tested in transient transfection assays in NSCLC and SCLC cell lines. The largest hNQO1 construct (–1539/+115) containing the antioxidant response element (ARE), exhibited robust levels of reporter activity in the NSCLC (H460, H520, and A549) cell lines and expression was over 12 to 77-fold higher than the minimal (–259/+115) promoter construct. In contrast, there was little difference in promoter activity between the largest and minimal promoter construct in the SCLC (H146, H82 and H187) cell lines. Deletion of the sites for NFκB and AP-2 and the XRE did not significantly affect hNQO1 promoter activity in either the NSCLC or SCLC cell lines. Robust promoter activity in NSCLC lines was mediated by a 359 bp segment of the proximal promoter that contained a canonical AP-1 binding site, TGACTCAG, within the ARE. Gel supershift assays with various specific Fos/Jun antibodies identified Fra1, Fra2 and Jun B binding activity in NSCLC cells to a promoter fragment (–477 to –438) spanning the AP-1 site, whereas SCLC do not appear to express functional Fra or Jun B. These results suggest a possible role for AP-1 activity in the differential expression of hNQO1 in NSCLC. © 1999 Cancer Research Campaig

    Primary central nervous system lymphoma presenting as a pure third ventricular lesion: a case report

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    <p>Abstract</p> <p>Introduction</p> <p>Primary central nervous system lymphomas are infrequently occurring lymphomas that account for only 0.3-1.5% of all intra-cranial neoplasms in patients without acquired immune deficiency syndrome. However, a pure third ventricle lymphoma is extremely rare. Here, we discuss the similar radiological appearances of lesions localized in the third ventricle and the importance of accurately diagnosing primary central nervous system lymphomas for favorable treatment outcomes.</p> <p>Case presentation</p> <p>A 38-year-old Caucasian man from Turkey presented with a severe headache lasting for three months that failed to respond to any medication. Both severity and duration of the symptoms increased gradually, resulting in vomiting, nausea and gait disturbance that accompanied the headache for three weeks. Neuro-imaging studies showed a lesion located solely in the third ventricle, resulting in partial obstruction of the foramen of Monro. The pre-operative diagnosis was a colloid cyst. Following the surgical procedure, the results of pathological and immunochemical assays revealed that the pre-operative diagnosis was incorrect and that the lesion was a primary central system lymphoma.</p> <p>Conclusion</p> <p>Pure third ventricle lymphomas are extremely rare and are exceptionally localized. It is important to be aware of, and to differentiate between, other possible third ventricular lesions that may mimic the same radiological appearance. Accurate diagnosis is necessary for selecting appropriate treatment modalities.</p

    Network Inference Algorithms Elucidate Nrf2 Regulation of Mouse Lung Oxidative Stress

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    A variety of cardiovascular, neurological, and neoplastic conditions have been associated with oxidative stress, i.e., conditions under which levels of reactive oxygen species (ROS) are elevated over significant periods. Nuclear factor erythroid 2-related factor (Nrf2) regulates the transcription of several gene products involved in the protective response to oxidative stress. The transcriptional regulatory and signaling relationships linking gene products involved in the response to oxidative stress are, currently, only partially resolved. Microarray data constitute RNA abundance measures representing gene expression patterns. In some cases, these patterns can identify the molecular interactions of gene products. They can be, in effect, proxies for protein–protein and protein–DNA interactions. Traditional techniques used for clustering coregulated genes on high-throughput gene arrays are rarely capable of distinguishing between direct transcriptional regulatory interactions and indirect ones. In this study, newly developed information-theoretic algorithms that employ the concept of mutual information were used: the Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNE), and Context Likelihood of Relatedness (CLR). These algorithms captured dependencies in the gene expression profiles of the mouse lung, allowing the regulatory effect of Nrf2 in response to oxidative stress to be determined more precisely. In addition, a characterization of promoter sequences of Nrf2 regulatory targets was conducted using a Support Vector Machine classification algorithm to corroborate ARACNE and CLR predictions. Inferred networks were analyzed, compared, and integrated using the Collective Analysis of Biological Interaction Networks (CABIN) plug-in of Cytoscape. Using the two network inference algorithms and one machine learning algorithm, a number of both previously known and novel targets of Nrf2 transcriptional activation were identified. Genes predicted as novel Nrf2 targets include Atf1, Srxn1, Prnp, Sod2, Als2, Nfkbib, and Ppp1r15b. Furthermore, microarray and quantitative RT-PCR experiments following cigarette-smoke-induced oxidative stress in Nrf2+/+ and Nrf2−/− mouse lung affirmed many of the predictions made. Several new potential feed-forward regulatory loops involving Nrf2, Nqo1, Srxn1, Prdx1, Als2, Atf1, Sod1, and Park7 were predicted. This work shows the promise of network inference algorithms operating on high-throughput gene expression data in identifying transcriptional regulatory and other signaling relationships implicated in mammalian disease
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