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  1. Book ; Conference proceedings: Critical issues in ehealth research

    Atienza, Audie A.

    ... highlight the major presentations at the 2005 Critical Issue in EHealth Research Conference ; [Bethesda, MD, June 9-10, 2005]

    (American journal of preventive medicine ; 32,5S = Suppl.)

    2007  

    Event/congress Critical Issues in EHealth Research Conference (2005, BethesdaMd.)
    Author's details guest ed. Audie A. Atienza
    Series title American journal of preventive medicine ; 32,5S = Suppl.
    Collection
    Language English
    Size S. S71 - S138 : graph. Darst.
    Publisher Elsevier Science
    Publishing place New York, NY
    Publishing country United States
    Document type Book ; Conference proceedings
    HBZ-ID HT015122647
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Zs A 2096 -32- not available for loan Zeitschriften-Lesesaal

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  2. Book ; Online: EfficientSpeech

    Atienza, Rowel

    An On-Device Text to Speech Model

    2023  

    Abstract: ... degradation in audio quality as compared to FastSpeech2. ... Comment: To be presented at ICASSP 2023 ...

    Abstract State of the art (SOTA) neural text to speech (TTS) models can generate natural-sounding synthetic voices. These models are characterized by large memory footprints and substantial number of operations due to the long-standing focus on speech quality with cloud inference in mind. Neural TTS models are generally not designed to perform standalone speech syntheses on resource-constrained and no Internet access edge devices. In this work, an efficient neural TTS called EfficientSpeech that synthesizes speech on an ARM CPU in real-time is proposed. EfficientSpeech uses a shallow non-autoregressive pyramid-structure transformer forming a U-Network. EfficientSpeech has 266k parameters and consumes 90 MFLOPS only or about 1% of the size and amount of computation in modern compact models such as Mixer-TTS. EfficientSpeech achieves an average mel generation real-time factor of 104.3 on an RPi4. Human evaluation shows only a slight degradation in audio quality as compared to FastSpeech2.

    Comment: To be presented at ICASSP 2023
    Keywords Electrical Engineering and Systems Science - Audio and Speech Processing ; Computer Science - Computation and Language ; Computer Science - Sound
    Subject code 006
    Publishing date 2023-05-23
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Mobile health: the killer app for cyberinfrastructure and consumer health.

    Atienza, Audie A / Patrick, Kevin

    American journal of preventive medicine

    2011  Volume 40, Issue 5 Suppl 2, Page(s) S151–3

    MeSH term(s) Cell Phone ; Computational Biology/methods ; Consumer Health Information/methods ; Humans ; Medical Informatics Applications ; United States
    Language English
    Publishing date 2011-05
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 632646-8
    ISSN 1873-2607 ; 0749-3797
    ISSN (online) 1873-2607
    ISSN 0749-3797
    DOI 10.1016/j.amepre.2011.01.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Mobile and Wireless Technologies in Health Behavior and the Potential for Intensively Adaptive Interventions.

    Riley, William T / Serrano, Katrina J / Nilsen, Wendy / Atienza, Audie A

    Current opinion in psychology

    2015  Volume 5, Page(s) 67–71

    Abstract: Recent advances in mobile and wireless technologies have made real-time assessments of health behaviors and their influences possible with minimal respondent burden. These tech-enabled real-time assessments provide the basis for intensively adaptive ... ...

    Abstract Recent advances in mobile and wireless technologies have made real-time assessments of health behaviors and their influences possible with minimal respondent burden. These tech-enabled real-time assessments provide the basis for intensively adaptive interventions (IAIs). Evidence of such studies that adjust interventions based on real-time inputs is beginning to emerge. Although IAIs are promising, the development of intensively adaptive algorithms generate new research questions, and the intensive longitudinal data produced by IAIs require new methodologies and analytic approaches. Research considerations and future directions for IAIs in health behavior research are provided.
    Language English
    Publishing date 2015-06-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2831565-0
    ISSN 2352-250X ; 2352-2518 ; 2352-250X
    ISSN (online) 2352-250X ; 2352-2518
    ISSN 2352-250X
    DOI 10.1016/j.copsyc.2015.03.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Weighting Nonprobability and Probability Sample Surveys in Describing Cancer Catchment Areas.

    Iachan, Ronaldo / Berman, Lewis / Kyle, Tonja M / Martin, Kelly J / Deng, Yangyang / Moyse, Davia N / Middleton, Deirdre / Atienza, Audie A

    Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

    2019  Volume 28, Issue 3, Page(s) 471–477

    Abstract: Background: The Population Health Assessment initiative by NCI sought to enhance cancer centers' capacity to acquire, aggregate, and integrate data from multiple sources, as well as to plan, coordinate, and enhance catchment area analysis activities.: ...

    Abstract Background: The Population Health Assessment initiative by NCI sought to enhance cancer centers' capacity to acquire, aggregate, and integrate data from multiple sources, as well as to plan, coordinate, and enhance catchment area analysis activities.
    Methods: Key objectives of this initiative are pooling data and comparing local data with national data. A novel aspect of analyzing data from this initiative is the methodology used to weight datasets from sites that collected both probability and nonprobability samples. This article describes the methods developed to weight data, which cancer centers collected with combinations of probability, and nonprobability sampling designs.
    Results: We compare alternative weighting methods in particular for the hybrid probability and nonprobability sampling designs employed by different cancer centers. We also include comparisons of local center data with national survey data from large probability samples.
    Conclusions: This hybrid approach to calculating statistical weights can be implemented both within cancer centers that collect both probability and nonprobability samples with common measures. Aggregation can also apply to cancer centers that share common data elements, and target similar populations, but differ in survey sampling designs.
    Impact: Researchers interested in local versus national comparisons for cancer surveillance and control outcomes should consider various weighting approaches, including hybrid approaches, when analyzing their data.
    MeSH term(s) Adolescent ; Adult ; Catchment Area, Health/statistics & numerical data ; Data Interpretation, Statistical ; Female ; Health Surveys/statistics & numerical data ; Humans ; Male ; Middle Aged ; Neoplasms/epidemiology ; Neoplasms/therapy ; Research Design/standards ; Sampling Studies ; United States/epidemiology ; Young Adult
    Language English
    Publishing date 2019-01-14
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1153420-5
    ISSN 1538-7755 ; 1055-9965
    ISSN (online) 1538-7755
    ISSN 1055-9965
    DOI 10.1158/1055-9965.EPI-18-0797
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3693: Show issues Location:
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  6. Article: The need for time-intensive information in healthful eating and physical activity research: a timely topic.

    Dunton, Genevieve Fridlund / Atienza, Audie A

    Journal of the American Dietetic Association

    2009  Volume 109, Issue 1, Page(s) 30–35

    MeSH term(s) Chronic Disease ; Diet/standards ; Exercise/physiology ; Fruit ; Health Policy ; Health Promotion/methods ; Humans ; Life Style ; Nutrition Policy ; Obesity/epidemiology ; Obesity/mortality ; Obesity/prevention & control ; Vegetables
    Language English
    Publishing date 2009-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 390806-9
    ISSN 1878-3570 ; 0002-8223
    ISSN (online) 1878-3570
    ISSN 0002-8223
    DOI 10.1016/j.jada.2008.10.019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 21: Show issues Location:
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  7. Article: Domestic hot water production system in a hospital: Energy audit and evaluation of measures to boost the solar contribution

    Atienza-Márquez, Antonio / Domínguez Muñoz, Fernando / Fernández Hernández, Francisco / Cejudo López, José Manuel

    Energy. 2022 Dec. 15, v. 261

    2022  

    Abstract: ... design expectations (75%), resulting in significant gas consumption. The energy audit conducted ...

    Abstract Hospitals consume large quantities of energy to produce hot water and offset the distribution and recirculation thermal losses. This paper analyses a solar thermal system combined with gas boilers for domestic hot water production in a medium-size hospital. The solar contribution to the total demand (27%) is below design expectations (75%), resulting in significant gas consumption. The energy audit conducted in the first part of the paper highlights the vast thermal loss through poorly insulated pipes as the primary cause of the poor solar fraction. This issue is endemic to hot water-intensive buildings. The second part of the paper addresses the techno-economic evaluation of energy retrofit measures to reach a solar fraction of 60%. The simulation results indicate that cost-optimised solutions generally expand the solar caption area by 43–57% and improve insulations to reduce thermal losses by 70%. Depending on carbon taxes, the cost of hot water production would be 31–41 cent-€/kWh, which represents a 15–45% reduction from the current costs. Under stringent climate policies, installing heat pumps may further enhance economic competitiveness. The indicators and charts developed in this work are helpful decision-making tools concerning the energy refurbishment of solar domestic hot water systems.
    Keywords carbon ; climate ; energy ; heat ; hospitals
    Language English
    Dates of publication 2022-1215
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2022.125275
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Characterizing user engagement with health app data: a data mining approach.

    Serrano, Katrina J / Coa, Kisha I / Yu, Mandi / Wolff-Hughes, Dana L / Atienza, Audie A

    Translational behavioral medicine

    2017  Volume 7, Issue 2, Page(s) 277–285

    Abstract: The use of mobile health applications (apps) especially in the area of lifestyle behaviors has increased, thus providing unprecedented opportunities to develop health programs that can engage people in real-time and in the real-world. Yet, relatively ... ...

    Abstract The use of mobile health applications (apps) especially in the area of lifestyle behaviors has increased, thus providing unprecedented opportunities to develop health programs that can engage people in real-time and in the real-world. Yet, relatively little is known about which factors relate to the engagement of commercially available apps for health behaviors. This exploratory study examined behavioral engagement with a weight loss app, Lose It! and characterized higher versus lower engaged groups. Cross-sectional, anonymized data from Lose It! were analyzed (n = 12,427,196). This dataset was randomly split into 24 subsamples and three were used for this study (total n = 1,011,008). Classification and regression tree methods were used to identify subgroups of user engagement with one subsample, and descriptive analyses were conducted to examine other group characteristics associated with engagement. Data mining validation methods were conducted with two separate subsamples. On average, users engaged with the app for 29 days. Six unique subgroups were identified, and engagement for each subgroup varied, ranging from 3.5 to 172 days. Highly engaged subgroups were primarily distinguished by the customization of diet and exercise. Those less engaged were distinguished by weigh-ins and the customization of diet. Results were replicated in further analyses. Commercially-developed apps can reach large segments of the population, and data from these apps can provide insights into important app features that may aid in user engagement. Getting users to engage with a mobile health app is critical to the success of apps and interventions that are focused on health behavior change.
    MeSH term(s) Adolescent ; Adult ; Aged ; Cross-Sectional Studies ; Data Mining/methods ; Female ; Health Behavior ; Humans ; Male ; Middle Aged ; Mobile Applications ; Patient Participation ; Self Report ; Smartphone ; Telemedicine/methods ; Weight Reduction Programs/methods ; Young Adult
    Language English
    Publishing date 2017-06-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2586893-7
    ISSN 1613-9860 ; 1869-6716
    ISSN (online) 1613-9860
    ISSN 1869-6716
    DOI 10.1007/s13142-017-0508-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Advancing Cancer Prevention and Behavior Theory in the Era of Big Data.

    Atienza, Audie A / Serrano, Katrina J / Riley, William T / Moser, Richard P / Klein, William M

    Journal of cancer prevention

    2016  Volume 21, Issue 3, Page(s) 201–206

    Abstract: The era of "Big Data" presents opportunities to substantively address cancer prevention and control issues by improving health behaviors and refining theoretical models designed to understand and intervene in those behaviors. Yet, the terms "model" and " ... ...

    Abstract The era of "Big Data" presents opportunities to substantively address cancer prevention and control issues by improving health behaviors and refining theoretical models designed to understand and intervene in those behaviors. Yet, the terms "model" and "Big Data" have been used rather loosely, and clarification of these terms is required to advance the science in this area. The objectives of this paper are to discuss conceptual definitions of the terms "model" and "Big Data", as well as examine the promises and challenges of Big Data to advance cancer prevention and control research using behavioral theories. Specific recommendations for harnessing Big Data for cancer prevention and control are offered.
    Language English
    Publishing date 2016-09-30
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 3019805-7
    ISSN 2288-3657 ; 2288-3649
    ISSN (online) 2288-3657
    ISSN 2288-3649
    DOI 10.15430/JCP.2016.21.3.201
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The promise of intensive longitudinal data capture for behavioral health research.

    Ginexi, Elizabeth M / Riley, William / Atienza, Audie A / Mabry, Patricia L

    Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco

    2014  Volume 16 Suppl 2, Page(s) S73–5

    Abstract: Advances in technology and the associated cultural norms, especially the advent of the smartphone, offer an unprecedented opportunity to collect data on relevant health behaviors and experiences unobtrusively at a greater frequency and in greater volumes ...

    Abstract Advances in technology and the associated cultural norms, especially the advent of the smartphone, offer an unprecedented opportunity to collect data on relevant health behaviors and experiences unobtrusively at a greater frequency and in greater volumes than ever before. This special issue will acquaint the readership of Nicotine and Tobacco Research with the potential for intensive longitudinal data and will illustrate some innovative analytic techniques for addressing research questions associated with this type of complex data. This introductory article will provide a brief history of the analytic techniques for intensive longitudinal data and will point to some resources that support and enable the use of these techniques.
    MeSH term(s) Behavioral Research/methods ; Data Collection/methods ; Humans ; Longitudinal Studies ; Psychopharmacology/methods
    Language English
    Publishing date 2014-04-07
    Publishing country England
    Document type Editorial
    ZDB-ID 1452315-2
    ISSN 1469-994X ; 1462-2203
    ISSN (online) 1469-994X
    ISSN 1462-2203
    DOI 10.1093/ntr/ntt273
    Database MEDical Literature Analysis and Retrieval System OnLINE

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