基于《丹溪心法·痰》探讨肝癌发病与痰的相关性

肝癌的治疗目前对人类来说仍是一个难以攻克的难题。基于《丹溪心法·痰》对中医病理产物"痰"的认识与阐述,探讨肝癌与痰的病因病机相关性。通过阐述痰的本质、肝癌的病因病机与痰的关系论证肝癌与痰的相关性。并结合文献,对我国三个肝癌高发区致病危险因素的中医辨证进行分析,进一步阐明痰在肝癌发病中的重要促进作用,以期对肝癌的临床治疗发挥指导作用,重视肝癌从痰论治。     

小槐花大极性部位的化学成分研究

该实验研究了传统中药小槐花大极性部位的化学成分。综合运用硅胶柱色谱,聚酰胺凝胶柱色谱,ODS中低压柱色谱,Sephadex LH-20柱色谱,薄层色谱,重结晶,分析型和制备型HPLC等方法进行分离,利用核磁共振波谱,质谱及化合物的理化性质对化合物的结构进行了鉴定。从小槐花大极性部位中分离得到13个单体化合物,它们的结构经鉴定分别为香草醛（1）,黑麦草内酯（2）,吲哚-3-甲醛（3）,水杨酸（4）,当药黄素（5）,saccharumoside C（6）,isosinensin（7）,7-O-α-L-吡喃鼠李糖基-山柰酚-3-O-β-D-吡喃葡萄糖苷（8）,异牡荆素（9）,牡荆素（10）,nothofagin（11）,resveratroloside（12）,2"-α-rhamnopyranosyl-7-O-methylvitexin（13）。除化合物5外,其余12个化合物均为小槐花中首次分离得到的化合物,化合物2,3,6~8,11~13等8个化合物为山蚂蝗属植物中首次分离得到的化合物。     

How does the WHI study alter the risk–benefit ratio of HT?

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Good clinical practice depends on knowledge of the current best medical care research evidence, but clinicians must be able to determine what is the best evidence and whether this evidence is relevant to their own patients. At the heart of evidence-based medicine is the assessment of the validity, importance, and relevance of a given study. These may be evaluated by asking key questions; here these questions are applied to the WHI study.     

A deep joint sparse non-negative matrix factorization framework for identifying the common and subject-specific functional units of tongue motion during speech

Intelligible speech is produced by creating varying internal local muscle groupings—i.e., functional units—that are generated in a systematic and coordinated manner. There are two major challenges in characterizing and analyzing functional units. First, due to the complex and convoluted nature of tongue structure and function, it is of great importance to develop a method that can accurately decode complex muscle coordination patterns during speech. Second, it is challenging to keep identified functional units across subjects comparable due to their substantial variability. In this work, to address these challenges, we develop a new deep learning framework to identify common and subject-specific functional units of tongue motion during speech. Our framework hinges on joint deep graph-regularized sparse non-negative matrix factorization (NMF) using motion quantities derived from displacements by tagged Magnetic Resonance Imaging. More specifically, we transform NMF with sparse and graph regularizations into modular architectures akin to deep neural networks by means of unfolding the Iterative Shrinkage-Thresholding Algorithm to learn interpretable building blocks and associated weighting map. We then apply spectral clustering to common and subject-specific weighting maps from which we jointly determine the common and subject-specific functional units. Experiments carried out with simulated datasets show that the proposed method achieved on par or better clustering performance over the comparison methods.Experiments carried out with in vivo tongue motion data show that the proposed method can determine the common and subject-specific functional units with increased interpretability and decreased size variability.     

“一带一路”倡议背景下中医药文化传播传承的建议与策略

"一带一路"中医药发展工作办公室强调了九个方面的重点工作,其中包括推进中医药文化传播。更好地传播和传承中医药文化势在必行。坚持古为今用、洋为中用,不断推陈出新,提倡多模式传播传承中医药文化,彰显中医药文化的活力和魅力,更好地发展中医药,从而提高国家软实力。     

基于二氧化硅纳米粒子的抗肿瘤药物递送系统研究进展CSCD

近年来癌症治疗受到广泛关注,二氧化硅纳米颗粒因其独特的理化性质在肿瘤诊疗领域展现巨大潜力。基于二氧化硅纳米粒子的药物输送系统可被动或主动靶向肿瘤组织,并通过刺激响应的方式实现药物在肿瘤部位的可控释放,有效提高抗肿瘤药物在肿瘤部位的浓度,提高治疗效率。同时,二氧化硅纳米粒子通过负载造影剂可实现生物成像功能,用于肿瘤组织定位及药物追踪,实现更高效的抗肿瘤治疗。本文介绍了二氧化硅纳米粒子的制备方式,并对二氧化硅纳米粒子在药物靶向递送系统及生物成像领域中的研究进展进行综述。     

A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect

Accurate prediction of facial soft-tissue changes following orthognathic surgery is crucial for surgical outcome improvement. We developed a novel incremental simulation approach using finite element method (FEM) with a realistic lip sliding effect to improve the prediction accuracy in the lip region.First, a lip-detailed mesh is generated based on accurately digitized lip surface points. Second, an improved facial soft-tissue change simulation method is developed by applying a lip sliding effect along with the mucosa sliding effect. Finally, the orthognathic surgery initiated soft-tissue change is simulated incrementally to facilitate a natural transition of the facial change and improve the effectiveness of the sliding effects.Our method was quantitatively validated using 35 retrospective clinical data sets by comparing it to the traditional FEM simulation method and the FEM simulation method with mucosa sliding effect only. The surface deviation error of our method showed significant improvement in the upper and lower lips over the other two prior methods. In addition, the evaluation results using our lip-shape analysis, which reflects clinician's qualitative evaluation, also proved significant improvement of the lip prediction accuracy of our method for the lower lip and both upper and lower lips as a whole compared to the other two methods.In conclusion, the prediction accuracy in the clinically critical region, i.e., the lips, significantly improved after applying incremental simulation with realistic lip sliding effect compared with the FEM simulation methods without the lip sliding effect.