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Record W7151687123

Contemporary Approach to the Physiotherapy of Children Suffering from Myelomeningocele: main “principles, possibilities and effect“

2015· dissertation· lt· W7151687123 on OpenAlexaboutno aff
Aušra Rumšienė

Bibliographic record

VenueLithuanian University of Health Sciences · 2015
Typedissertation
Languagelt
FieldMedicine
TopicSpinal Dysraphism and Malformations
Canadian institutionsnot available
Fundersnot available
KeywordsStereotype (UML)Test (biology)AthletesResistance training
DOInot available

Abstract

fetched live from OpenAlex

Darbo tikslas. Įvertinti kineziterapijos poveikį per trumpiausią reabilitacijos laikotarpį vaikams, sergantiems mielomeningocele, siekiant išvengti ar atitolinti stuburo deformacijas. Apžvelgus mokslinę literatūrą numatytą mokslinio darbo tikslą pasiekti buvo iškelti šie uždaviniai: 1. Įvertinti vaikų, sergančių mielomeningocele fizinį pajėgumą prieš ir po reabilitacijos. 2. Nustatyti vaikų sergančių MMC laikyseną remiantis laikysenos vertinimo sistema prieš ir po reabilitacijos. 3. Nustatyti ar kineziterapijos poveikis išliko praėjus vienam mėnesiui po reabilitacijos. 4. Nustatyti sąsajas tarp vaikų sergančių MMC stuburo pažeidimo lygio, ydingos laikysenos tipo ir funkcinio savarankiškumo. Baigiamojo darbo tyrimo objektas yra kineziterapijos (kineziterapijos vandenyje, naudojant Halliwick metodiką; kineziterapijos salėje, atkreipiant pagrindinį dėmesį į nugaros raumenų stiprinimą) poveikis, siekiant koreguoti ydingą laikyseną. Tyrimo pradžioje ir pabaigoje bei praėjus vienam mėnesiui po tyrimo buvo vertinama tiriamųjų laikysena DIERS Formetric 3D/4D laikysenos vertinimo sistema. Stambioji motorika vertinta GMFM skale; tiriamųjų savarankiškumas vertintas WeeFIM funkcinio savarankiškumo vertinimo testu. Vertinta statinė nugaros raumenų ištvermė pagal Ito (1996) testą. Taip pat vertinta statinė pilvo raumenų ištvermė pagal McGill (2002) testą.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.524
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.293
Teacher spread0.261 · 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 teacher head, 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

Citations0
Published2015
Admission routes1
Has abstractyes

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