A multiclass classification approach for incremental entity resolution on short textual data

This study explores and describes caring and uncaring nursing encounters from the perspective of the patients admitted to inpatient rehabilitation settings in South Africa. The researchers used an exploratory descriptive design. A semi-structured interview guide was used to collect data through individual interviews with 17 rehabilitation patients. Content analysis allowed for the analysis of textual data. Five categories of nursing encounters emerged from the analysis: noticing and acting, and being there for you emerged as categories of caring nursing encounters, and being ignored, being a burden, and deliberate punishment emerged as categories of uncaring nursing encounters. Caring nursing encounters make patients feel important and that they are not alone in the rehabilitation journey, while uncaring nursing encounters makes the patients feel unimportant and troublesome to the nurses. Caring nursing encounters give nurses an opportunity to notice and acknowledge the existence of vulnerability in the patients and encourage them to be present at that moment, leading to empowerment. Uncaring nursing encounters result in patients feeling devalued and depersonalised, leading to discouragement. It is recommended that nurses strive to develop personal relationships that promote successful nursing encounters. Further, nurses must strive to minimise the patients’ feelings of guilt and suffering, and to make use of tools, for example the self-perceived scale, to measure this. Nurses must also perform role plays on how to handle difficult patients such as confused, demanding and rude patients in the rehabilitation settings.

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Heart Disease Prediction using KNN classification approach

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.416420 ◽

2019 ◽

Vol 7 (5) ◽

pp. 416-420

Author(s):

Gagandeep Kaur ◽

Anshu Sharma ◽

Anurag Sharma

Keyword(s):

Heart Disease ◽

Disease Prediction ◽

Classification Approach ◽

Knn Classification

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Plant Traits Response to Grazing Exclusion by Fencing Assessed via Multiple Classification Approach: A Case from a Subalpine Meadow

Polish Journal of Ecology ◽

10.3161/15052249pje2019.67.1.003 ◽

2019 ◽

Vol 67 (1) ◽

pp. 33 ◽

Cited By ~ 1

Author(s):

Wen Jin Li ◽

Shuang Shuang Liu ◽

Jin Hua Li ◽

Ru Lan Zhang ◽

Ka Zhuo Cai Rang ◽

...

Keyword(s):

Plant Traits ◽

Classification Approach ◽

Grazing Exclusion ◽

Subalpine Meadow ◽

Multiple Classification

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OIL YIELD AND BULK GEOCHEMICAL PARAMETERS OF OIL SHALES FROM THE SONGLIAO AND HUADIAN BASINS, CHINA: A GRADE CLASSIFICATION APPROACH

Oil Shale ◽

10.3176/oil.2013.3.03 ◽

2013 ◽

Vol 30 (3) ◽

pp. 402 ◽

Cited By ~ 14

Author(s):

P SUN ◽

Z LIU ◽

R GRATZER ◽

Y XU ◽

R LIU ◽

...

Keyword(s):

Oil Yield ◽

Classification Approach ◽

Geochemical Parameters ◽

Grade Classification ◽

Oil Shales

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The So-Called Prothetic i- and the sḏm-f Paradigms II: The “Nominal” sḏm-f and a Reappraisal

Lingua Aegyptia - Journal of Egyptian Language Studies ◽

10.37011/lingaeg.28.08 ◽

2020 ◽

Vol 28 ◽

pp. 259-267

Author(s):

Sami Uljas

Keyword(s):

Present Author ◽

Textual Data ◽

Key Issues ◽

Syllabic Structure ◽

The Creation ◽

Partial Revision

This article discusses, first, the role of the i-prefix in the so-called “nominal” sḏm-f paradigm in earliest Old Egyptian textual data. It is argued that this represented a means of facilitating the creation of a distinctive syllabic structure with 2rad roots and of harmonising it with that of the 2red and 3inf classes. Second, the study contains a partial revision of some of the key issues treated in an earlier article by the present author on the role of the similarly written prefix in the subjunctive and “circumstantial” sḏm-f paradigms.

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