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摘要： Matching the shade selected and the final color of a ceramic restoration is challenging, and studies on matching monolithic ceramics to the shade selected are lacking.

关键词： 纺织品生产   节能减排   碳排放   控制技术   应用效果  

摘要： 随着全球对气候变化和环境可持续性关注的日益增加,纺织行业作为能源消耗和碳排放的重要来源之一,生产过程消耗了大量的能源,产生了大量的温室气体。随着环保法规的日益严格和市场对可持续产品需求的增加,纺织企业亟须采用高效的环保技术和方法,以提高能效,减少污染,确保企业的长期发展与环境责任的双重目标得以实现。探讨纺织品生产过程中的节能减排与碳排放控制技术,并且通过案例分析纺织企业的节能减排与碳排放控制技术的应用效果,以期为纺织行业的可持续发展提供理论参考。

关键词： ASCVD   atherosclerotic cardiovascular disease   CAC   coronary artery calcium   CAD   coronary artery disease   CV   cardiovascular   CVD   cardiovascular disease   ED   erectile dysfunction   ICI   intracavernosal injection   IIEF   International Index of Erectile Function   METs   metabolic equivalents of task   MI   myocardial infarction   P3   Princeton III   P4   Princeton IV   PDE5i   phosphodiesterase type 5 inhibitor   PGE1   prostaglandin E1   T   testosterone  

摘要： AbstractThe Princeton Consensus (Expert Panel) Conference is a multispecialty collaborative symposium dedicated to optimizing sexual function and preserving cardiovascular health. The Fourth Princeton Consensus Conference was convened on March 10-11, 2023, at the Huntington Medical Research Institutes in Pasadena, California. Princeton panels I to III addressed the clinical management of men with erectile dysfunction (ED) who also had cardiovascular disease. Thirteen years since Princeton III, Princeton IV builds on previous foundations in several key areas. Mounting evidence supports the need for providers to treat men with ED as being at risk for cardiac events until proven otherwise. Algorithms for the diagnosis and treatment of ED are updated with new recommendations for coronary artery calcium scoring for advanced cardiovascular risk stratification. Optimization of oral phosphodiesterase type 5 inhibitors in the treatment of men with ED and cardiovascular disease is thoroughly explored, including recent evidence of potential cardioprotective effects of these drugs.

关键词： acute coronary syndrome   artificial intelligence   coronary CT angiography   hemodynamics   plaque characteristics   ACS   acute coronary syndrome   AI   artificial intelligence   AI-QCPHA   artificial intelligence—enabled quantitative coronary plaque and hemodynamic analysis   APC   adverse plaque characteristic   APS   axial plaque stress   CAD   coronary artery disease   CAD-RADS   Coronary Artery Disease Reporting and Data System   CTA   computed tomography angiography   FFR CT   fractional flow reserve derived from coronary computed tomography angiography   HRP   high-risk plaque   ICA   invasive coronary angiography   LAPV   low-attenuation plaque volume   MBF   myocardial blood flow   MI   myocardial infarction   NCPV   noncalcified plaque volume   TPV   total plaque volume   WSS   wall shear stress  

摘要： A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.

关键词： image scene classification   CNN   Grad-CAM   CapsNet   DenseNet  

摘要： Remote sensing image scene classification and remote sensing technology applications are hot research *** CNN-based models have reached high average accuracy,some classes are still misclassified,such as“freeway,”“spare residential,”and“commercial_area.”These classes contain typical decisive features,spatial-relation features,and mixed decisive and spatial-relation features,which limit high-quality image scene *** address this issue,this paper proposes a Grad-CAM and capsule network hybrid method for image scene *** Grad-CAM and capsule network structures have the potential to recognize decisive features and spatial-relation features,*** using a pre-trained model,hybrid structure,and structure adjustment,the proposed model can recognize both decisive and spatial-relation features.A group of experiments is designed on three popular data sets with increasing classification *** the most advanced experiment,92.67%average accuracy is ***,83%,75%,and 86%accuracies are obtained in the classes of“church,”“palace,”and“commercial_area,”*** research demonstrates that the hybrid structure can effectively improve performance by considering both decisive and spatial-relation ***,Grad-CAM-CapsNet is a promising and powerful structure for image scene classification.

关键词： 智能纺织品   纺织行业   新发展理念   科技融合   主导作用   先进生产力   市场需求   高效能  

摘要： 随着技术的不断进步和市场需求的增加,市场规模持续扩大习近平总书记指出,新质生产力是创新起主导作用,具有高科技、高效能、高质量特征,符合新发展理念的先进生产力质态。智能纺织品作为纺织行业与先进科技融合的产物。

关键词： 纺织品   透湿性   吸湿法   蒸发法  

摘要： 本文对标准GB/T 12704.1-2009中的吸湿法与GB/T 12704.2-2009中的蒸发法(正杯法)和蒸发法(倒杯法)的试验条件,试验步骤进行了比较及分析,并结合日常检测中遇到的问题,提出了检测过程中的注意事项。

关键词： Cox   CT calcium score   epicardial adipose tissue   machine learning   major adverse cardiovascular event   radiomics   risk prediction   CAD   coronary artery disease   CTCS   computed tomography calcium score   EAT   MACE   PCAT   pericoronary adipose tissue  

摘要： Recent studies have used basic epicardial adipose tissue (EAT) assessments (eg, volume and mean Hounsfield unit [HU]) to predict risk of atherosclerosis-related, major adverse cardiovascular events (MACEs).

关键词： CAD   coronary artery disease   CBF   coronary blood flow   CFR   coronary flow reserve   CFV   coronary flow velocity   CMD   coronary microvascular dysfunction   hMR   hyperemic microvascular resistance   IMR   index of microvascular resistance   Pd   distal pressure   PET   positron emission tomography   Tmnmean   transit time   VSMC   vascular smooth muscle cell  

摘要： AbstractApproximately half of all coronary angiograms performed for angina do not show obstructive coronary artery disease, and many of these patients have coronary microvascular dysfunction (CMD). Invasive testing for CMD has increased with the advent and wider availability of thermodilution systems. We review CMD pathophysiology and invasive diagnostic testing using the Doppler and thermodilution systems. We report the results of a PubMed search of invasive microvascular testing and discuss limitations of current diagnostic algorithms in the diagnosis of CMD, including controversies regarding the optimal cutoff value for abnormal coronary flow reserve, use of microvascular resistance indices, and options for increasing sensitivity of testing.

关键词： Artificial intelligence   Deep learning   Cardiology   Cardiovascular magnetic resonance   AUC   area under the curve   AI   artificial intelligence   ANN   artificial neural network   ASC   atrial segmentation challenge   ACDC   automatic cardiac diagnosis challenge   BRNN   bi-directional recurrent neural network   CMR   cardiovascular magnetic resonance   CT   computer tomography   CNN   convolutional neural network   CAD   coronary artery disease   CMRA   coronary magnetic resonance angiogram   DSBCCD   data science bowl cardiac challenge data   DL   deep learning   DLR   deep learning reconstruction   DSC   dice similarity coefficient   DENSE   displacement encoding with simulated echoes   EDV   end-diastolic volume   ESV   end-systolic volume   ECV   extracellular volume   FDA   food and drug administration   FFD   free form deformation   FCN   fully convolutional neural network   FWHM   full width at half-maximum   GRU   gated recurrent unit   GD   gradient decent   HCM   hypertrophic cardiomyopathy   HOCM   hypertrophic obstructive cardiomyopathy   IoU   intersection over union   ICC   intraclass correlation coefficient   k-t RASPS   k-t radial sparse sense   LASC   left atrial segmentation challenge   LGE   late gadolinium enhancement   LV   left ventricle   LVEDD   left ventricular end-diastolic diameter   LVOTO   left ventricular outflow tract obstruction   LSTM   long short term memory   LRCN   Long term recurrent convolutional network   LL   Look-Locker   ML   machine learning   MRI   magnetic resonance imaging   MACE   major adverse cardiac events   MSE   Mean square error   MICCAI   medical image computing and computer-assisted intervention   MoDL   model-based deep learning   MOLLI   modified Look-Locker inversion recovery   MoCo   motion-corrected   MPCA   multilinear principal component analysis   MSPN   multi-stage pose estimation network   MI   myocardial infarction   PSNR   peak signal-to-noise ratio   PVM   phase velocity mapping   PACS   picture archiving and communication system   PCA   principal component analysis   QGPU   quality-guided phase unwrapping   ReLU   rectified linear unit   RNN   recurrent neural network   RBM   restrictive Boltzmann machine   RV   right ventricle   RVEF   right ventricular ejection fraction   RTIE  

摘要： Cardiovascular magnetic resonance (CMR) imaging is the gold standard test for myocardial tissue characterization and chamber volumetric and functional evaluation. However, manual CMR analysis can be time-consuming and is subject to intra- and inter-observer variability. Artificial intelligence (AI) is a field that permits automated task performance through the identification of high-level and complex data relationships. In this review, we review the rapidly growing role of AI in CMR, including image acquisition, sequence prescription, artifact detection, reconstruction, segmentation, and data reporting and analysis including quantification of volumes, function, myocardial infarction (MI) and scar detection, and prediction of outcomes. We conclude with a discussion of the emerging challenges to widespread adoption and solutions that will allow for successful, broader uptake of this powerful technology.