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  1. AU="Tejal Shah"
  2. AU="Dasgupta, A."
  3. AU="Asad M. Iqbal"
  4. AU="Pengermä, Pasi"
  5. AU="Cheung, Cherry Tin Yan"

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  1. Artikel ; Online: SHRINKAGE TESTIMATORS OF SCALE PARAMETER FOR EXPONENTIAL MODEL UNDER ASYMMETRIC LOSS FUNCTION

    Rakesh Srivastava / Tejal Shah

    Journal of Reliability and Statistical Studies, Vol 3, Iss 2, Pp 11-

    2010  Band 25

    Abstract: The present paper proposes shrinkage testimator(s) for the scale parameter for anexponential distribution. An important feature of the proposed testimator is that, it removes thearbitrariness in the choice of shrinkage factor (weights) by making it ... ...

    Abstract The present paper proposes shrinkage testimator(s) for the scale parameter for anexponential distribution. An important feature of the proposed testimator is that, it removes thearbitrariness in the choice of shrinkage factor (weights) by making it dependent on the teststatistic. The risk properties of the proposed testimator(s) have been studied under asymmetricloss function. It has been observed that the proposed testimator performs better than the classicalUniformly Minimum Variance Unbiased Estimator (UMVUE). Recommendations regarding itsapplications for various degrees of asymmetry (over/under estimator), level(s) of significancehave been made.
    Schlagwörter Exponential distribution ; scale parameter ; preliminary test ; level of significance ; asymmetric loss function ; relative risk. ; Probabilities. Mathematical statistics ; QA273-280 ; Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics
    Sprache Englisch
    Erscheinungsdatum 2010-01-01T00:00:00Z
    Verlag Ankur Printing Palace
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Remote health care cyber-physical system

    Tejal Shah / Ali Yavari / Karan Mitra / Saguna Saguna / Prem Prakash Jayaraman / Fethi Rabhi / Rajiv Ranjan

    IET Cyber-Physical Systems (2016)

    quality of service (QoS) challenges and opportunities

    2016  

    Abstract: There is a growing emphasis to find alternative non-traditional ways to manage patients to ease the burden on health care services largely fuelled by a growing demand from sections of population that is ageing. In-home remote patient monitoring ... ...

    Abstract There is a growing emphasis to find alternative non-traditional ways to manage patients to ease the burden on health care services largely fuelled by a growing demand from sections of population that is ageing. In-home remote patient monitoring applications harnessing technological advancements in the area of Internet of things (IoT), semantic web, data analytics, and cloud computing have emerged as viable alternatives. However, such applications generate large amounts of real-time data in terms of volume, velocity, and variety thus making it a big data problem. Hence, the challenge is how to combine and analyse such data with historical patient data to obtain meaningful diagnoses suggestions within acceptable time frames (considering quality of service (QoS)). Despite the evolution of big data processing technologies (e.g. Hadoop) and scalable infrastructure (e.g. clouds), there remains a significant gap in the areas of heterogeneous data collection, real-time patient monitoring, and automated decision support (semantic reasoning) based on well-defined QoS constraints. In this study, the authors review the state-of-the-art in enabling QoS for remote health care applications. In particular, they investigate the QoS challenges required to meet the analysis and inferencing needs of such applications and to overcome the limitations of existing big data processing tools.
    Schlagwörter health care ; medical administrative data processing ; data analysis ; Big Data ; quality of service ; cyber-physical systems ; remote health care ; cyber-physical system ; QoS challenges ; QoS opportunities ; health care services ; patient management ; Big Data processing techniques ; historical patient data ; QoS constraints ; Computer engineering. Computer hardware ; TK7885-7895 ; Electronic computers. Computer science ; QA75.5-76.95
    Thema/Rubrik (Code) 004
    Sprache Englisch
    Erscheinungsdatum 2016-11-01T00:00:00Z
    Verlag Wiley
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Alterations in serum kynurenine pathway metabolites in individuals with high neocortical amyloid-β load

    Pratishtha Chatterjee / Kathryn Goozee / Chai K. Lim / Ian James / Kaikai Shen / Kelly R. Jacobs / Hamid R. Sohrabi / Tejal Shah / Prita R. Asih / Preeti Dave / Candice ManYan / Kevin Taddei / David B. Lovejoy / Roger Chung / Gilles J. Guillemin / Ralph N. Martins

    Scientific Reports, Vol 8, Iss 1, Pp 1-

    A pilot study

    2018  Band 10

    Abstract: Abstract The kynurenine pathway (KP) is dysregulated in neuroinflammatory diseases including Alzheimer’s disease (AD), however has not been investigated in preclinical AD characterized by high neocortical amyloid-β load (NAL), prior to cognitive ... ...

    Abstract Abstract The kynurenine pathway (KP) is dysregulated in neuroinflammatory diseases including Alzheimer’s disease (AD), however has not been investigated in preclinical AD characterized by high neocortical amyloid-β load (NAL), prior to cognitive impairment. Serum KP metabolites were measured in the cognitively normal KARVIAH cohort. Participants, aged 65–90 y, were categorised into NAL+ (n = 35) and NAL− (n = 65) using a standard uptake value ratio cut-off = 1.35. Employing linear models adjusting for age and APOEε4, higher kynurenine and anthranilic acid (AA) in NAL+ versus NAL− participants were observed in females (kynurenine, p = 0.004; AA, p = 0.001) but not males (NALxGender, p = 0.001, 0.038, respectively). To evaluate the predictive potential of kynurenine or/and AA for NAL+ in females, logistic regressions with NAL+/− as outcome were carried out. After age and APOEε4 adjustment, kynurenine and AA were individually and jointly significant predictors (p = 0.007, 0.005, 0.0004, respectively). Areas under the receiver operating characteristic curves were 0.794 using age and APOEε4 as predictors, and 0.844, 0.866 and 0.871 when kynurenine, AA and both were added. Findings from the current study exhibit increased KP activation in NAL+ females and highlight the predictive potential of KP metabolites, AA and kynurenine, for NAL+. Additionally, the current study also provides insight into he influence of gender in AD pathogenesis.
    Schlagwörter Medicine ; R ; Science ; Q
    Sprache Englisch
    Erscheinungsdatum 2018-05-01T00:00:00Z
    Verlag Nature Publishing Group
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel: One protein, multiple pathologies: multifaceted involvement of amyloid β in neurodegenerative disorders of the brain and retina

    Gupta, Vivek / Alberto Avolio / Mojdeh Abbasi / Mojtaba Golzan / Nitin Chitranshi / Ralph Martins / Roger Chung / Roshana Vander Wall / Stuart Graham / Sumudu Gangoda / Tejal Shah / Veer B. Gupta / Yogita Dheer

    Cellular and molecular life sciences. 2016 Nov., v. 73, no. 22

    2016  

    Abstract: Accumulation of amyloid β (Aβ) and its aggregates in the ageing central nervous system is regarded synonymous to Alzheimer’s disease (AD) pathology. Despite unquestionable advances in mechanistic and diagnostic aspects of the disease understanding, ... ...

    Abstract Accumulation of amyloid β (Aβ) and its aggregates in the ageing central nervous system is regarded synonymous to Alzheimer’s disease (AD) pathology. Despite unquestionable advances in mechanistic and diagnostic aspects of the disease understanding, the primary cause of Aβ accumulation as well as its in vivo roles remains elusive; nonetheless, the majority of the efforts to address pathological mechanisms for therapeutic development are focused towards moderating Aβ accumulation in the brain. More recently, Aβ deposition has been identified in the eye and is linked with distinct age-related diseases including age-related macular degeneration, glaucoma as well as AD. Awareness of the Aβ accumulation in these markedly different degenerative disorders has led to an increasing body of work exploring overlapping mechanisms, a prospective biomarker role for Aβ and the potential to use retina as a model for brain related neurodegenerative disorders. Here, we present an integrated view of current understanding of the retinal Aβ deposition discussing the accumulation mechanisms, anticipated impacts and outlining ameliorative approaches that can be extrapolated to the retina for potential therapeutic benefits. Further longitudinal investigations in humans and animal models will determine retinal Aβ association as a potential pathognomonic, diagnostic or prognostic biomarker.
    Schlagwörter Alzheimer disease ; amyloid ; animal models ; biomarkers ; brain ; glaucoma ; humans ; macular degeneration ; neurodegenerative diseases ; retina
    Sprache Englisch
    Erscheinungsverlauf 2016-11
    Umfang p. 4279-4297.
    Erscheinungsort Springer International Publishing
    Dokumenttyp Artikel
    Anmerkung Review
    ZDB-ID 1358415-7
    ISSN 1420-9071 ; 1420-682X
    ISSN (online) 1420-9071
    ISSN 1420-682X
    DOI 10.1007/s00018-016-2295-x
    Datenquelle NAL Katalog (AGRICOLA)

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