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Institution

Saint Anselm College

EducationManchester, New Hampshire, United States
About: Saint Anselm College is a education organization based out in Manchester, New Hampshire, United States. It is known for research contribution in the topics: Nurse education & Extinction (psychology). The organization has 255 authors who have published 522 publications receiving 7222 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper examined congressional policymaking and funding support for homeless women during the 1980s and found that bills targeting homeless women, children, and families increased over time, but there was substantive policy action for these groups.
Abstract: This study examines congressional policymaking and funding support for homeless women during the 1980s. Contemporary research shows that this time period marked an important demographic shift in the composition of homeless individuals in the United States, as women, children, and families comprised a larger portion of homeless populations. Using Schneider and Ingram’s (1993; 1997) Degenerative Policy Design, I used logistic regression and predicted probabilities to analyze federal congressional bills on homelessness during a 10-year period from 1977 to 1988. Results indicate that bills targeting homeless women, children, and families increased over time, but there was substantive policy action for these groups. This aligns with Schneider and Ingram’s theory that groups like homeless women, who are constructed as dependent and needy but politically powerless, garner congressional elite sympathy but no monetary resources at the national level.

6 citations

Journal ArticleDOI
TL;DR: In this paper, normal children's novelty preference was examined within a modified Moss-Harlow (E. Moss & H. Harlow, 1947, Journal of Comparative and Physiological Psychology, 40, 333,342) design to compare Zeaman's model with that of S. Witryol and W. Wanich.

6 citations

Journal ArticleDOI
TL;DR: Support for the theoretical model portraying nonclinical dissociation as a beneficial information processing style was found and it is demonstrated that VR paradigms add to the prediction of cognitive functioning in testing protocols using standard neuropsychological tests, while simultaneously increasing ecological validity.
Abstract: Dissociation is a mental process resulting in the disruption of memory, perception, and sometimes identity. At a nonclinical level, only mild dissociative experiences occur. The nature of nonclinical dissociation is disputed in the literature, with some asserting that it is a beneficial information processing style and others positing that it is a psychopathological phenomenon. The purpose of this study was to further the understanding of nonclinical dissociation with respect to memory and attention, by including a more ecologically valid virtual reality (VR) memory task along with standard neuropsychological tasks. Forty-five undergraduate students from a small liberal arts college in the northeast participated for course credit. The participants completed a battery of tasks including two standard memory tasks, a standard attention task, and an experimental VR memory task; the VR task included immersion in a virtual apartment, followed by incidental object-location recall for objects in the virt...

6 citations

Journal ArticleDOI
TL;DR: Both species showed a slight increase in heat tolerance but a notable upward shift in intrinsic tolerance when emerged, suggesting media-dependent thermal niche adjustment is a unique, and thus far undescribed physiological adaptation that in combination with behavioral responses, allow mudskippers to thrive in some of the most austere thermal environments experienced by any fish.

6 citations

Journal ArticleDOI
30 Aug 2021
TL;DR: In this paper, the authors highlight the current advances and challenges in integrating and merging artificial intelligence (AI), intelligence augmentation (IA), and machine learning (ML) in dentistry and provide an outlook of how future technology can be deployed in daily-life dentistry.
Abstract: Digitization is the emerging process in the current transformation of industry. Understanding the role and socio-economic consequences of digitalization is crucial for the way technology is being deployed in each sector. One of the affected sectors is dentistry. This study highlights the current advances and challenges in integrating and merging artificial intelligence (AI), intelligence augmentation (IA), and machine learning (ML) in dentistry. We conduct a comparative analysis to give an overview of which technology is being currently deployed and what role IA and AI will play in dentistry, as AI plays an assistive role in advancing human capabilities. We find that challenges range from AI finding its way into routine medical practice to qualitative challenges of retrieving adequate data input. Other challenges lie in the yet unanswered questions of liability in how to reduce deployment costs of new technology. Given these challenges, we provide an outlook of how future technology can be deployed in daily-life dentistry and how robots and humans will interact, given the current technology developments. The aim of this paper is to discuss the future of dentistry and whether it is AI or IA conquering the modern dentistry era.

6 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202211
202134
202038
201930
201825