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Nurses' Challenges With Personal Protective Equipment: A Qualitative Content Analysis Based on the COVID-19 Pandemic. [PDF]

Nurs Res Pract
Imanipour M, Kamali H.
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Global trends of pandemic-prone and epidemic-prone disease outbreaks in 2024. [PDF]

BMJ Glob Health
Torres Munguía JA, Martínez-Zarzoso I.
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Dimensional Relevance Shifts in Category Learning

Connection Science, 1996
A category learning experiment involving human participants compared the dif® culties of four types of shift learning. Initial learning was of an exclusive-or (XOR) structure on two of three stimulus dimensions. One shift type was a reversal, a second shift was to a single previously relevant dimension, a third shift was to a single previously ...
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Resolving category ambiguities — evidence from stress shift

Speech Communication, 1994
Abstract This paper presents an experimental study of “stress shift” in category-ambiguous and non-ambiguous material. Ambiguous sequences such as Chinese fan exhibit phonological evidence for two structural analyses. If the sequences is a syntactic phrase, with Chinese an adjective modifying the noun fan , then fan has greater relative ...
Esther Grabe, Paul Warren, Francis Nolan
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Cognitive Categories and Memory Span: I. Shifting between Categories

Quarterly Journal of Experimental Psychology, 1968
Broadbent and Gregory's hypothesis that shifting selection between cognitive classes is at least inefficient is tested by varying the number of transitions from consonants to digits and back in a mixed list memory span situation. No orderly decrease is found as a function of the number of transitions, which renders the attention hypothesis unlikely ...
A. F. Sanders, J. J. F. Schroots
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Reconciling category exceptions through representational shifts

Psychonomic Bulletin & Review
Real-world categories often contain exceptions that disobey the perceptual regularities followed by other members. Prominent psychological and neurobiological theories indicate that exception learning relies on the flexible modulation of object representations, but the specific representational shifts key to learning remain poorly understood.
Yongzhen Xie, Michael L. Mack
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