Bibliographic record
Abstract
心肌的螺旋結構造成了左心室(LV)的旋轉形變。由心尖往心基部看去，LV的心尖部於收縮期呈逆時針方向的旋轉運動，而同時心基部則呈順時針方向的旋轉運動。近期的研究也顯示，LV的旋轉運動是LV收縮功能效度的關鍵性重要機制。新發展的二維亮點追蹤超音波影像(2D speckle Tracking Echocardiography, 2D-STE)已被證實是一種臨床上可用於評估未鎮靜麻醉犬隻LV旋轉形變的非侵入性檢查方式，並且具有良好的重複性與再現性。2010年一篇人醫的研究報告指出，經過體能訓練造成左心室適應性肥大的運動員與一般人之間的LV旋轉運動並無顯著差異。然而，體型較大的犬隻LV短縮分率(Fractional Shortening, FS)、射出分率(Ejection Fraction, EF)，以及LV收縮期最大旋轉角度都明顯較低；在經人類選殖為不同功能的特定品種犬隻之間，LV收縮功能是不是存在先天的適應性尚不得而知。為了解此項，選擇相同體型但不同品種的犬隻，以2D-STE測得的各項LV旋轉參數是否有差異性，本研究比較西伯利亞哈士奇犬(Siberian Husky, SH)、拉不拉多拾回犬(Labrador Retriever, LR)、德國牧羊犬(German Shepherd, GS)以及米格魯犬(Beagle, Be)四種品種的健康犬隻LV旋轉運動參數；結果顯示，雖然各犬種間以傳統超音波測得的LV收縮功能參數如FS、EF等，以及心基部收縮終了的Rot角度(RotL)並無品種間顯著差異，SH組LV心尖部所測得的RotL角度(4.92 ± 2.47)卻顯著高於LR組(2.77 ± 1.62)，顯示此參數確實有品種間的差異性存在。然而，若以心尖早期收縮旋轉運動角度(RotE)做為基準點修正RotL，則各犬種間皆無顯著差異。以RotL - RotE方法修正過的LV心尖旋轉角度(4.55 ± 1.98)，可以將本研究四個犬種間體重以及品種對此參數的影響降到最小，如果同樣的修正方法應用在其他犬種也有同樣的效果，則此法對於LV旋轉參數在獸醫臨床的應用會有一定程度的幫助。
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".