|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | '5+3'全科住院医师在综合医院临床轮转期间的学习策略显示文摘综合医院培训全科住院医师的带教医师大多是专科出身,对全科医生的工作不完全熟悉。本文基于美国25年来导师教育计划(PEP)中的7个原则(明确学习目标;节约教师时间;要求教师给予针对性的指导;请教师评价自己;让患者接纳年轻医师;与人结交,善待盟友;教学相长),结合中国全科住院医师'5+3'规范化培训现状,指导全科住院医师更有质量地完成临床轮转学习。 | 思晴 陶霞 迟春花 Derwin Fetters Michael | 2019 | 中华全科医师杂志2019，18，4： | 3 |
| 2 | Assessment of the canine model of rotator cuff injury and repair显示文摘 | Derwin KA Baker AR Codsi MJ | 2007 | J Shoulder Elbow Surg2007，16，5： | 1 |
| 3 | Transitioning An Adult-serving University to A Blended Learning Model 显示文摘 | Korr J Derwin E Greene K | 2012 | The Journal of Continuing Higher Education2012，，60： | 1 |
| 4 | Mechanical conditioning of cellseeded small intestine submucosa:a potential tissue-engineering strategy for tendon repair显示文摘 | Androjna C Spragg RK Derwin KA | | 0，，2： | 1 |
| 5 | Porcine small intestine submucosa as a flexor tendon graft显示文摘 | Derwin K Androjna C Spencer E | 2004 | Clin Orthop2004，423，： | 1 |
| 6 | Preclinical models for translating regenerative medicine therapies for rotator cuff repair 显示文摘 | Derwin KA Baker AR Iannotti JP | 2010 | Tissue Eng Part B Rev2010，16，1： | 1 |
| 7 | Porcine small inte-stine submucosa as a flexor tendon graft 显示文摘 | Derwin K Androjna MS Spencer E | 2004 | Clinical Orthopaedics and Related Research2004，423，： | 1 |
| 8 | Porcine small intestine submucosa as a flexor tendon graft显示文摘 | Derwin K Androina C Spencer E | 2004 | Clin Orthop2004，423，： | 1 |
| 9 | Quantitative mangnetic resonance imaging analysis neovasculature in carotid atherosclerotic plapue显示文摘 | Derwin W Hooker JI Yuan C | 2003 | Circulation2003，107，： | 1 |
| 10 | Porcine smal intestine submucosa as a flexor tendon graft显示文摘 | Derwin K Androjna C Spencer E | | 0，，： | 1 |
| 11 | Changes in rotator cuff muscle volume,fat content,and passive mechanics after chronic detachment in a canine model显示文摘 | Safran O Derwin KA Powell K | | 0，，12： | 1 |
| 12 | Mechanical condi- tioning of cell-seeded small intestine submucosa: a poten- tial tissue-engineering strategy for tendon repair显示文摘 | Androjna C Spragg RK Derwin KA | 2007 | Tissue Eng2007，3，2： | 1 |
| 13 | Changes in gene expression of in- dividual matrix metalloproteinases differ in response to mechanical unloading of tendon fascicles in explant culture显示文摘 | Leigh DR Abreu EL Derwin KA | 2008 | Orthop Res2008，26，： | 1 |
| 14 | Porcine small intestine submucosa as a flexor tendon graft 显示文摘 | Derwin K Androina C Spencer E | 2004 | Clin Orthop Relat Res2004，423，： | 1 |
| 15 | Quantitative magnetic resonance imaging analysis neovasculature volume in carotid atherosclerotic plaque 显示文摘 | Derwin W Hooker JI Yuan C | 2003 | Circulation2003，107，： | 1 |
| 16 | Mechanical conditioning of celseeded small intestine submucosa: a potential tissue-engineering strategy for tendon repair 显示文摘 | Androjna C Spragg RK Derwin KA | 2007 | Tissue Engineering2007，2，： | 1 |
| 17 | Failure with continuity in rotator cuff repair 'healing' 显示文摘 | MCCARRON JA DERWIN KA BEY MJ | 2013 | The American Journal of Sports Medicine2013，41，1： | 1 |
| 18 | Rotator cuff repair augmentation in a canine model with use of a woven poly-L-lactide device显示文摘 | Derwin KA Codsi MJ Milks RA | | 0，，05： | 1 |
| 19 | Feature-Based Augmentation in Sarcasm Detection Using Reverse Generative Adversarial Network显示文摘Sarcasm detection in text data is an increasingly vital area of research due to the prevalence of sarcastic content in online communication.This study addresses challenges associated with small datasets and class imbalances in sarcasm detection by employing comprehensive data pre-processing and Generative Adversial Network(GAN)based augmentation on diverse datasets,including iSarcasm,SemEval-18,and Ghosh.This research offers a novel pipeline for augmenting sarcasm data with Reverse Generative Adversarial Network(RGAN).The proposed RGAN method works by inverting labels between original and synthetic data during the training process.This inversion of labels provides feedback to the generator for generating high-quality data closely resembling the original distribution.Notably,the proposed RGAN model exhibits performance on par with standard GAN,showcasing its robust efficacy in augmenting text data.The exploration of various datasets highlights the nuanced impact of augmentation on model performance,with cautionary insights into maintaining a delicate balance between synthetic and original data.The methodological framework encompasses comprehensive data pre-processing and GAN-based augmentation,with a meticulous comparison against Natural Language Processing Augmentation(NLPAug)as an alternative augmentation technique.Overall,the F1-score of our proposed technique outperforms that of the synonym replacement augmentation technique using NLPAug.The increase in F1-score in experiments using RGAN ranged from 0.066%to 1.054%,and the use of standard GAN resulted in a 2.88%increase in F1-score.The proposed RGAN model outperformed the NLPAug method and demonstrated comparable performance to standard GAN,emphasizing its efficacy in text data augmentation. | Derwin Suhartono Alif Tri Handoyo Franz Adeta Junior | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员