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Record W2166492853 · doi:10.5430/jnep.v4n3p69

Effect of neurobic exercise on memory enhancement in the elderly with dementia

2013· article· en· W2166492853 on OpenAlexvenueno aff
Saifon Kanthamalee, Kanid Sripankaew

Bibliographic record

VenueJournal of Nursing Education and Practice · 2013
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaTest (biology)GerontologyMedicineReliability (semiconductor)Physical therapyPsychologyDescriptive statisticsDiseaseInternal medicine

Abstract

fetched live from OpenAlex

The objective of this Quasi-experimental research was to examine the effect of Neurobic Exercise on the Memory Enhancement in the Elderly people suffering from Dementia. During January to September 2012, twenty two female older adults suffering from dementia who were residing at Mitraparpsongkoh Foundation, PathumThani Province in Thailand, were purposively selected to participate in this research. Selected participants were involved in Neurobic Exercise Program on every 2 days continuously for 4 weeks. The instruments consisted of a Demographic Data Form, the Mini-Mental State Examination- Thai 2002, the Memory test and a Neurobic Exercise Program. The reliability of the Mini-Mental State Examination- Thai 2002 and the memory test using Kuder- Richadson 20 were.89 and .81 respectively. Data were analyzed using descriptive statistics and Paired t-test. The results revealed that the average memory scores of the experimental group after receiving the Neurobic Exercise Program were statistically and significantly higher than before receiving the Neurobic Exercise Program at a level of p < .001. The results of this study could be used as guidelines by health care providers in enhancing the memory retention of the elderly people suffering from dementia and delaying the deterioration of the brain.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.402
Teacher spread0.376 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2013
Admission routes1
Has abstractyes

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