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  1. AU="Dave, Riya"
  2. AU=Kwon Okyu
  3. AU="Ortiz-López, Francisco Javier"
  4. AU="Churiwal, Mehal"
  5. AU="Nandi, Asoke K"
  6. AU="Fishchenko, I"
  7. AU="Yong, Ken-Tye"
  8. AU="Alexander, Regi T"
  9. AU=Weng Cheng-Hao
  10. AU="Christine Hamel"

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  1. Artikel ; Online: Data Quality and Network Considerations for Mobile Contact Tracing and Health Monitoring.

    Dave, Riya / Gupta, Rashmi

    Frontiers in digital health

    2021  Band 3, Seite(n) 590194

    Abstract: Machine Learning (ML) has been a useful tool for scientific advancement during the COVID-19 pandemic. Contact tracing apps are just one area reaping the benefits, as ML can use location and health data from these apps to forecast virus spread, predict " ... ...

    Abstract Machine Learning (ML) has been a useful tool for scientific advancement during the COVID-19 pandemic. Contact tracing apps are just one area reaping the benefits, as ML can use location and health data from these apps to forecast virus spread, predict "hotspots," and identify vulnerable groups. However, to do so, it is first important to ensure that the dataset these apps yield is accurate, free of biases, and reliable, as any flaw can directly influence ML predictions. Given the lack of criteria to help ensure this, we present two requirements for those exploring using ML to follow. The requirements we presented work to uphold international data quality standards put forth for ML. We then identify where our requirements can be met, as countries have varying contact tracing apps and smartphone usages. Lastly, the advantages, limitations, and ethical considerations of our approach are discussed.
    Sprache Englisch
    Erscheinungsdatum 2021-12-15
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2021.590194
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: Mandating the Use of Proximity Tracking Apps During Coronavirus Disease 2019: Ethical Justifications.

    Dave, Riya / Gupta, Rashmi

    Frontiers in medicine

    2020  Band 7, Seite(n) 590265

    Abstract: The rise of the coronavirus disease 2019 (COVID-19) in a digital world has expectedly called upon technologies, such as wearables and mobile devices, to work in conjunction with public health interventions to tackle the pandemic. One significant example ... ...

    Abstract The rise of the coronavirus disease 2019 (COVID-19) in a digital world has expectedly called upon technologies, such as wearables and mobile devices, to work in conjunction with public health interventions to tackle the pandemic. One significant example of this integration is the deployment of proximity tracking apps on smartphones to enhance traditional contact tracing methods. Many countries have adopted proximity tracking apps; however, there is a large degree of global differentiation in the voluntariness of the apps. Further, the concept of a mandatory policy-forcing individuals to use the apps-has been met with ethical concerns (e.g., privacy and liberty). While ethical considerations surrounding deployment have been put forth, such as by the World Health Organization, ethical justifications for a mandatory policy are lacking. Here, we use the Faden-Shebaya framework, which was formed to justify public health interventions, to determine if the compulsory use of proximity tracking apps is ethically appropriate. We show that while theoretically justified, due to the current state of proximity tracking applications and societal factors, it is difficult to defend a mandatory policy in practice.
    Sprache Englisch
    Erscheinungsdatum 2020-12-02
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2020.590265
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel: Comparative Evaluation of Root Canal Transportation and Centering Ability in Curved Mesiobuccal Canals of Mandibular First Molars after Instrumentation with Different File Systems-An

    Langaliya, Akshayraj / Kothari, Anjali / Buch, Aastha / Dave, Riya / Shah, Jinali / Shah, Nishtha

    Journal of pharmacy & bioallied sciences

    2023  Band 15, Heft Suppl 2, Seite(n) S1211–S1214

    Abstract: Aim: To assess the canal transportation and centering ability in the mandibular first molars' curved mesiobuccal canals after instrumentation with file systems XP endo Shaper, self-adjusting File (SAF), Hyflex EDM, Pro Taper NEXT, WaveOne Gold, and K ... ...

    Abstract Aim: To assess the canal transportation and centering ability in the mandibular first molars' curved mesiobuccal canals after instrumentation with file systems XP endo Shaper, self-adjusting File (SAF), Hyflex EDM, Pro Taper NEXT, WaveOne Gold, and K files with the help of Cone-Beam Computed Tomography (CBCT).
    Materials and methods: Ninety recently extracted mandibular first molars with mesiobuccal roots that had a 25-30 degree canal curvature were assessed. Following preoperative CBCT scans, teeth were allocated randomly to six experimental groups of fifteen. After preparation with XP endo Shaper, SAF, Hyflex EDM, Pro Taper Next, WaveOne Gold, and K files, post-instrumentation scans were taken using same parameters as pre operative scans. At 3 mm, 6 mm, and 9 mm from the apex, samples were assessed for canal transportation and centering ratio.
    Results: Apical transportation was least for XP endo Shaper as compared to other groups except SAF and the results were statistically significant. K file showed the highest apical transportation toward the lateral wall of the root canal. XP endo Shaper was better in maintaining centering ability of middle and apical third of canal and SAF was better in maintaining centering ability of coronal third.
    Conclusion: In root canal preparation, least apical transportation and better centering ability with XP endo Shaper than other file systems compared. K file showed the highest transportation.
    Sprache Englisch
    Erscheinungsdatum 2023-07-11
    Erscheinungsland India
    Dokumenttyp Journal Article
    ZDB-ID 2573569-X
    ISSN 0975-7406 ; 0976-4879
    ISSN (online) 0975-7406
    ISSN 0976-4879
    DOI 10.4103/jpbs.jpbs_157_23
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Context-dependent memory effects in two immersive virtual reality environments: On Mars and underwater.

    Shin, Yeon Soon / Masís-Obando, Rolando / Keshavarzian, Neggin / Dáve, Riya / Norman, Kenneth A

    Psychonomic bulletin & review

    2020  Band 28, Heft 2, Seite(n) 574–582

    Abstract: The context-dependent memory effect, in which memory for an item is better when the retrieval context matches the original learning context, has proved to be difficult to reproduce in a laboratory setting. In an effort to identify a set of features that ... ...

    Abstract The context-dependent memory effect, in which memory for an item is better when the retrieval context matches the original learning context, has proved to be difficult to reproduce in a laboratory setting. In an effort to identify a set of features that generate a robust context-dependent memory effect, we developed a paradigm in virtual reality using two semantically distinct virtual contexts: underwater and Mars environments, each with a separate body of knowledge (schema) associated with it. We show that items are better recalled when retrieved in the same context as the study context; we also show that the size of the effect is larger for items deemed context-relevant at encoding, suggesting that context-dependent memory effects may depend on items being integrated into an active schema.
    Mesh-Begriff(e) Adult ; Humans ; Learning/physiology ; Mental Recall/physiology ; Virtual Reality
    Sprache Englisch
    Erscheinungsdatum 2020-11-17
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2031311-1
    ISSN 1531-5320 ; 1069-9384
    ISSN (online) 1531-5320
    ISSN 1069-9384
    DOI 10.3758/s13423-020-01835-3
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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