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  1. Article: [Besprechung von:] David E. Allen. Managing international risk. Cambridge 1983; Managing foreign exchange risk. Cambridge 1983

    Allen, David E

    The economic journal : the journal of the Royal Economic Society Vol. 94 , p. 417-419

    1984  Volume 94, Page(s) 417–419

    Institution Managing foreign exchange risk. Cambridge 1983
    Managing international risk. Cambridge 1983
    Language Undetermined
    Publisher Wiley-Blackwell
    Publishing place Oxford [u.a.]
    Document type Article
    ZDB-ID 3025-9 ; 1473822-3
    ISSN 1468-0297 ; 0013-0133
    ISSN (online) 1468-0297
    ISSN 0013-0133
    Database ECONomics Information System

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  2. Article ; Online: Management of pediatric choanal atresia restenosis and subglottic stenosis using steroid-eluting stents.

    Skaribas, Elena E / Leming, Amy B / Allen, David Z / Yuksel, Sancak

    International journal of pediatric otorhinolaryngology

    2024  Volume 178, Page(s) 111897

    Abstract: Objectives: To depict the novel use of steroid-eluting stents in the treatment of choanal atresia (CA) restenosis and subglottic stenosis (SGS).: Methods: A retrospective chart review of three pediatric patients, one with CA and two with SGS, treated ...

    Abstract Objectives: To depict the novel use of steroid-eluting stents in the treatment of choanal atresia (CA) restenosis and subglottic stenosis (SGS).
    Methods: A retrospective chart review of three pediatric patients, one with CA and two with SGS, treated with mometasone furoate eluting mini stents (PROPEL) was performed. Patients were evaluated for restenosis and adverse events between one to twelve months postoperatively.
    Results: Postoperatively, patient one with CA showed no signs of restenosis and required no further intervention. Patient two with SGS demonstrated an open subglottic lumen with no signs of restenosis as well as improved phonation following his planned serial procedures. Post-operatively, patient three with SGS exhibited no restenosis of the subglottic lumen, tolerated intermittent tracheostomy capping, and demonstrated improved phonation.
    Conclusion: In this case series, we outline successful treatments for the management of CA restenosis and SGS with mometasone furoate-eluting stents. To our knowledge, this is the first reported application of this treatment in pediatric patients with CA restenosis and the second reported application in pediatric patients with SGS.
    MeSH term(s) Humans ; Child ; Constriction, Pathologic ; Drug-Eluting Stents ; Retrospective Studies ; Choanal Atresia/surgery ; Stents ; Mometasone Furoate ; Treatment Outcome
    Chemical Substances Mometasone Furoate (04201GDN4R)
    Language English
    Publishing date 2024-02-14
    Publishing country Ireland
    Document type Case Reports
    ZDB-ID 754501-0
    ISSN 1872-8464 ; 0165-5876
    ISSN (online) 1872-8464
    ISSN 0165-5876
    DOI 10.1016/j.ijporl.2024.111897
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  3. Book ; Online: A new model of trust based on neural information processing

    Allen, Scott E. / Kizilcec, René F. / Redish, A. David

    2024  

    Abstract: More than 30 years of research has firmly established the vital role of trust in human organizations and relationships, but the underlying mechanisms by which people build, lose, and rebuild trust remains incompletely understood. We propose a mechanistic ...

    Abstract More than 30 years of research has firmly established the vital role of trust in human organizations and relationships, but the underlying mechanisms by which people build, lose, and rebuild trust remains incompletely understood. We propose a mechanistic model of trust that is grounded in the modern neuroscience of decision making. Since trust requires anticipating the future actions of others, any mechanistic model must be built upon up-to-date theories on how the brain learns, represents, and processes information about the future within its decision-making systems. Contemporary neuroscience has revealed that decision making arises from multiple parallel systems that perform distinct, complementary information processing. Each system represents information in different forms, and therefore learns via different mechanisms. When an act of trust is reciprocated or violated, this provides new information that can be used to anticipate future actions. The taxonomy of neural information representations that is the basis for the system boundaries between neural decision-making systems provides a taxonomy for categorizing different forms of trust and generating mechanistic predictions about how these forms of trust are learned and manifested in human behavior. Three key predictions arising from our model are (1) strategic risk-taking can reveal how to best proceed in a relationship, (2) human organizations and environments can be intentionally designed to encourage trust among their members, and (3) violations of trust need not always degrade trust, but can also provide opportunities to build trust.
    Keywords Economics - General Economics ; Computer Science - Human-Computer Interaction ; Quantitative Biology - Neurons and Cognition
    Subject code 650
    Publishing date 2024-01-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Application of an Accessible Interface for Pharmacokinetic Modeling and

    Hines, David E / Bell, Shannon / Chang, Xiaoqing / Mansouri, Kamel / Allen, David / Kleinstreuer, Nicole

    Frontiers in pharmacology

    2022  Volume 13, Page(s) 864742

    Abstract: Regulatory toxicology testing has traditionally relied ... ...

    Abstract Regulatory toxicology testing has traditionally relied on
    Language English
    Publishing date 2022-04-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.864742
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  5. Article ; Online: Social Media Posts from Friends during Late Adolescence as Predictors of Young Adult Physical Health.

    Szwedo, David E / Davis, Alida A / Fowler, Caroline / Mikami, Amori Yee / Allen, Joseph P

    Journal of youth and adolescence

    2024  Volume 53, Issue 4, Page(s) 784–798

    Abstract: ... of social media posts received from peers at age 21 as predictors of participants' physical health (e.g ...

    Abstract Although an increasing body of literature has linked social experiences to physical health, research has yet to consider how specific aspects of social experiences taking place on social media during late adolescence may predict future physical health outcomes. This study thus examined qualities of social media posts received from peers at age 21 as predictors of participants' physical health (e.g., Interleukin-6 (inflammation), sleep problems, problems with physical functioning, and BMI) at age 28. Participants included 138 youth (59 men and 79 women); 57% of participants identified as White, 30% as Black/African American, and 13% as from other or mixed racial/ethnic groups. Posts from friends and participants at age 21 characterized by social ties predicted lower levels of future physical health problems, whereas socially inappropriate "faux pas" posts that deviated from peer norms by friends predicted higher levels of physical health problems at age 28. These associations were found after accounting for factors typically associated with physical health outcomes, including participants' baseline social competence, internalizing and externalizing symptoms, alcohol use, observed physical attractiveness, and history of prior hospitalizations. The results of this study suggest the importance of both achieving social integration with peers online and adhering to peer norms in the online domain as key predictors of future physical health.
    MeSH term(s) Male ; Humans ; Female ; Adolescent ; Young Adult ; Adult ; Friends ; Social Media ; Peer Group ; Social Skills ; Alcohol Drinking
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 186743-x
    ISSN 1573-6601 ; 0047-2891
    ISSN (online) 1573-6601
    ISSN 0047-2891
    DOI 10.1007/s10964-024-01945-4
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  6. Article ; Online: Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI.

    Larson, David B / Doo, Florence X / Allen, Bibb / Mongan, John / Flanders, Adam E / Wald, Christoph

    Journal of the American College of Radiology : JACR

    2024  

    Abstract: Despite the surge in artificial intelligence (AI) development for health care applications, particularly for medical imaging applications, there has been limited adoption of such AI tools into clinical practice. During a 1-day workshop in November 2022, ... ...

    Abstract Despite the surge in artificial intelligence (AI) development for health care applications, particularly for medical imaging applications, there has been limited adoption of such AI tools into clinical practice. During a 1-day workshop in November 2022, co-organized by the ACR and the RSNA, participants outlined experiences and problems with implementing AI in clinical practice, defined the needs of various stakeholders in the AI ecosystem, and elicited potential solutions and strategies related to the safety, effectiveness, reliability, and transparency of AI algorithms. Participants included radiologists from academic and community radiology practices, informatics leaders responsible for AI implementation, regulatory agency employees, and specialty society representatives. The major themes that emerged fell into two categories: (1) AI product development and (2) implementation of AI-based applications in clinical practice. In particular, participants highlighted key aspects of AI product development to include clear clinical task definitions; well-curated data from diverse geographic, economic, and health care settings; standards and mechanisms to monitor model reliability; and transparency regarding model performance, both in controlled and real-world settings. For implementation, participants emphasized the need for strong institutional governance; systematic evaluation, selection, and validation methods conducted by local teams; seamless integration into the clinical workflow; performance monitoring and support by local teams; performance monitoring by external entities; and alignment of incentives through credentialing and reimbursement. Participants predicted that clinical implementation of AI in radiology will continue to be limited until the safety, effectiveness, reliability, and transparency of such tools are more fully addressed.
    Language English
    Publishing date 2024-02-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2274861-1
    ISSN 1558-349X ; 1546-1440
    ISSN (online) 1558-349X
    ISSN 1546-1440
    DOI 10.1016/j.jacr.2024.01.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6636: Show issues Location:
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  7. Article ; Online: Exploring Patient Needs and Preferences in CKD Education: A Cross-Sectional Survey Study.

    Allen, Rebecca J / Nakonechnyi, Alex / Phan, TramAnh / Moore, Catherine / Drury, Erika / Grewal, Rickinder / Liebman, Scott E / Levy, David / Saeed, Fahad

    Kidney360

    2024  Volume 5, Issue 3, Page(s) 344–351

    MeSH term(s) Humans ; Cross-Sectional Studies ; Renal Insufficiency, Chronic/therapy ; Surveys and Questionnaires ; Educational Status
    Language English
    Publishing date 2024-01-25
    Publishing country United States
    Document type Journal Article
    ISSN 2641-7650
    ISSN (online) 2641-7650
    DOI 10.34067/KID.0000000000000369
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  8. Article ; Online: Toxigenic Profile of

    Johnston, Michael D / Whiteside, Tanya E / Allen, Michelle E / Kurtz, David M

    Comparative medicine

    2022  Volume 72, Issue 1, Page(s) 50–58

    Abstract: Clostridium ... ...

    Abstract Clostridium perfringens
    MeSH term(s) Animals ; Animals, Laboratory ; Bacterial Toxins ; Clostridium Infections/veterinary ; Clostridium perfringens ; Diet ; Escherichia coli
    Chemical Substances Bacterial Toxins
    Language English
    Publishing date 2022-02-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2006425-1
    ISSN 2769-819X ; 0023-6764 ; 1532-0820
    ISSN (online) 2769-819X
    ISSN 0023-6764 ; 1532-0820
    DOI 10.30802/AALAS-CM-22-000013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 601: Show issues Location:
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  9. Article: Parental Autonomy Restricting Behaviors During Adolescence as Predictors of Dependency on Parents in Emerging Adulthood.

    Shah, Emily N / Szwedo, David E / Allen, Joseph P

    Emerging adulthood (Print)

    2022  Volume 11, Issue 1, Page(s) 15–31

    Abstract: Although one goal of the use of autonomy restricting parenting behavior is to keep teens psychologically dependent on the parent, research has yet to examine whether such behavior actually predicts later parental dependency. Thus, the present ... ...

    Abstract Although one goal of the use of autonomy restricting parenting behavior is to keep teens psychologically dependent on the parent, research has yet to examine whether such behavior actually predicts later parental dependency. Thus, the present longitudinal, multi-method study investigates at which points across adolescence this behavior predicts parental dependency in emerging adulthood, and whether this association differs based on which parent uses psychological control within a non-clinical and racially, ethnically, and socioeconomically diverse sample. Teens' (
    Language English
    Publishing date 2022-08-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2706250-8
    ISSN 2167-6984 ; 2167-6968
    ISSN (online) 2167-6984
    ISSN 2167-6968
    DOI 10.1177/21676968221121158
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  10. Article: Trump's COVID-19 tweets and Dr. Fauci's emails.

    Allen, David E / McAleer, Michael

    Scientometrics

    2022  Volume 127, Issue 3, Page(s) 1643–1655

    Abstract: The paper features an analysis of former President Trump's early tweets on COVID-19 in the context of Dr. Fauci's recently revealed email trove. The tweets are analysed using various data mining techniques, including sentiment analysis. These techniques ... ...

    Abstract The paper features an analysis of former President Trump's early tweets on COVID-19 in the context of Dr. Fauci's recently revealed email trove. The tweets are analysed using various data mining techniques, including sentiment analysis. These techniques facilitate exploration of content and sentiments within the texts, and their potential implications for the national and international reaction to COVID-19. The data set or corpus includes 159 tweets on COVID-19 that are sourced from the Trump Twitter Archive, running from 24 January 2020 to 2 April 2020. In addition we use Zipf and Mandelbrot's power law to calibrate the extent to which they differ from normal language patterns. A context for the emails is provided by the recently revealed email trove of Dr. Fauci, obtained by Buzzfeed on 1 June 2021 obtained under the Freedom of Information Act.
    Language English
    Publishing date 2022-01-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 435652-4
    ISSN 0138-9130
    ISSN 0138-9130
    DOI 10.1007/s11192-021-04243-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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