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Record W7131981273

Yorkshire Terrier dog breed skin, coat and nails care.

2014· article· en· W7131981273 on OpenAlexaboutno aff
Sandra Čechovičienė

Bibliographic record

VenueLithuanian University of Health Sciences · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCoatBreedAnimal healthLabrador Retriever
DOInot available

Abstract

fetched live from OpenAlex

Įvadas. Šiandien jorkšyro terjerai yra viena iš populiariausių veislių Lietuvoje. Vieni šios veislės šunis augina dėl mados, kiti – dėl kompanijos. Gyvūnas yra priklausomas nuo žmogaus, todėl tik žmogus jam gali suteikti optimalias sąlygas, kurioms esant šuo galėtų patenkinti savo fiziologinius, funkcinius ir elgsenos poreikius. Viena iš svarbiausių sąlygų – šuns higiena. Labai svarbu tinkamai prižiūrėti augintinio odą, kailį ir nagus. Šuns oda ir kailis yra fizinis barjeras, apsaugantis gyvūną nuo kintančių aplinkos sąlygų, cheminių medžiagų ir mikrobų. Be to, šuns odoje veikia sensorinė sistema, kuria gyvūnas kontroliuoja temperatūrą. Odoje yra daug liaukų, kurios kaupia ir išskiria tam tikras medžiagas, suteikiančias šuns kailiui blizgesio ir tvirtumo (Villahizán, 2006). Netinkama odos ar kailio priežiūra gali sutrikdyti šias funkcijas. Jorkšyro terjerų plaukas panašios struktūros kaip žmogaus, todėl jų kailiui reikalinga ypatinga priežiūra (http://www.yorkieinfocenter.com/ [žiūrėta 2014-02-19]). Nagai – tai suragėję odos dariniai (Fogle, 2002). Netinkamai prižiūrimi nagai iškreipia letenų formą. Tai gali sukelti judesių pakitimus, skausmą ir galūnių deformaciją (http://www.aspca.org [žiūrėta 2014-02-26]). Gyvūno aplinka yra neatsiejama nuo jo priežiūros. Blogose higieninėse sąlygose laikomų gyvūnų odą, kailis ir nagai gali neatlikti savo funkcijų. Darbo tikslas. Įvertinti jorkšyro terjero veislės šunų odos, kailio ir nagų priežiūrą bei jų aplinką. [...]. The aim of this research was to evaluate the Yorkshire Terrier dog breed skin, coat and nails care. Three 2 – year – old Yorkshire Terrier dogs were explored. All dogs were kept in flats. The study included an assessment of the thermal environment and environmental microbiological contamination. Skin, coat and nails investigation was accomplished by_questioning and survey method. According to the microclimate results it was found that the microclimate indicators did not affect the skin, coat and nails. All dogs skin were properly fostered (there was no pruritus and no furfures). Dog's No. 2 coat was cared properly. Dog's No. 1 coat was brushed too rarely (2-3 times) a week). Dog's No. 3 coat was brushed with improper bursh (sharp pins). From all three dogs, dog's No. 2 nails were cared properly. Dog's No. 1 and No. 3 nails were too long (touch the ground) ande dog's No. 1 nails were not solid.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.673
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.6730.462

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 head0.015
GPT teacher head0.304
Teacher spread0.289 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueLithuanian University of Health Sciences→Same topicHuman-Animal Interaction Studies→French-language works237,207→