Nursing Information Behavior (NIB) in the Pandemic: Resilience of a Knowledge Base

Health care assumed epic proportions in 2020 as the COVID-19 coronavirus pandemic swept the globe, crossing all social, geographic, economic and political lines. A key component of care at every phase of the pandemic has been home care nursing. A virtual domain analysis clinic (DAC) was constructed around the focus of nursing information behavior (NIB). An important question for research was the extent to which the ontological base underlying NIB might be the subject of conceptual evolution during the pandemic. The clinic began by using domain analytical techniques to extract a NIB taxonomy from a key text; the taxonomy was then mapped to an international nursing classification and published online where it could be available for scholarship. As the pandemic evolved the DAC employed ethnographic techniques to discover ways in which the knowledge base represented by the pandemic was affected over time. The knowledge base of NIB is resilient. The taxonomy of the domain originally drawn from research and mapped to a classification of practice is sustainably efficacious throughout this project. The analysis of video transcripts reveals ethnographic contexts emerging over the course of the pandemic that provide new contours for the knowledge base. Beyond the resilient core lies a rich panoply of emergent vocabulary. The vocabulary of the pandemic itself becomes part of the knowledge base of the home care nurse. The rise of an emotional layer beyond the core vocabulary of NIB reveals the contours of the social impact of the pandemic as vocabulary concerning the very human psychological and social impacts enter the knowledge base with terms forming a credo of moral fiber, hope, dedication and determination

CT-NIB Taxonomy for Nursing Information Behavior: KO in the Pandemic

As COVID-19 emerged on the world stage a challenge arose to help inform the knowledge base in home health-care nursing. Connecting current experience with the Pajarillo theory The Nub of Nursing Information Behavior (NIB was a first step. To provide a taxonomy of NIB, standard domain analytical tools for ontology extraction were employed using Pajarillo\u27s text. Analysis generated frequency distributions of terms and phrases which were then sorted and disambiguated to generate a list of phenomena. Co-word analysis generated visualizations to suggest regions that might constitute facets and sub-facets. Facet analysis yielded six major facets and 17 sub-facets. The NANDA International Nursing Diagnoses and Classification was mapped to the core taxonomy. The Core Taxonomy of Nursing Information Behavior (CT-NIB) was published online on 12 May 2020. An update including the mappings to the NANDA classification constituted version 1.1, which was made available 26 June 2020

Shifting Taxonomies in Home Care Nursing Information Behavior: Patients, Pandemic, Community

IKOS has continued to monitor the nursing information behavior (NIB) of home care nurses. In earlier reports we described how we developed an online taxonomy of NIB. We then took on a qualitative analysis of video representations of home care nursing in the pandemic. Merging the codes from two rounds of open coding yielded a set of categories (or axes) that could be used to construct a narrative analysis. Contextual quotations from the video transcripts further reveal the intensity of the potential taxonomic extension. The importance of this research for knowledge organization is the understanding we develop concerning shifting taxonomies in the NIB environment

Pseudorapidity densities of charged particles with transverse momentum thresholds in pp collisions at √ s = 5.02 and 13 TeV

The pseudorapidity density of charged particles with minimum transverse momentum (pT) thresholds of 0.15, 0.5, 1, and 2 GeV/c is measured in pp collisions at the center of mass energies of √s=5.02 and 13 TeV with the ALICE detector. The study is carried out for inelastic collisions with at least one primary charged particle having a pseudorapidity (η) within 0.8pT larger than the corresponding threshold. In addition, measurements without pT-thresholds are performed for inelastic and nonsingle-diffractive events as well as for inelastic events with at least one charged particle having |η|2GeV/c), highlighting the importance of such measurements for tuning event generators. The new measurements agree within uncertainties with results from the ATLAS and CMS experiments obtained at √s=13TeV.