Bubble-Wall Plot: A New Tool for Data Visualization

This research aimed to design a new tool for data visualization with performed features - named Bubble-Wall Plot and assumed that it could be an effective tool for developing data visualization systems. This research reviewed seven data visualization approaches for identifying the outliers, including Line Charts, Parallel Coordinates Plot, Scatter Plots, TreeMap, Glyphs, Pixel-based techniques, and Redial visualizations. The challenges for current data visualization approaches were also summarized. Two principles were addressed to design the new tool- keep it simple strategy with the smallest strategy. As a result, the newly designed Bubble-Wall Plot has successfully been adopted to develop a warning system for identifying the outliers in a Case Study company, which was deployed for user acceptance testing in May 2021. The main contribution is that this newly designed tool with the simplest style was well-designed and proven to effectively develop a warning visualization system

Simultaneously enhancing the strength and ductility in titanium matrix composites via discontinuous network structure

In this study, titanium matrix composites reinforced with graphene nanoplates (GNPs) were successfully prepared via an in-situ processing strategy. Both TiC nanoparticles and TiC@GNPs strips are in-situ formed at the grain boundaries, and enhance interfacial bonding strength between GNPs and Ti matrix by acting as rivets in the microstructure. The GNPs can be retained in the center of TiC layer, which provides a shielding protection effect for the GNPs. These in-situ formed TiC nanoparticles are linked together to form a discontinuous and three-dimensional (3D) network structure. Due to the formation of 3D network architecture and improved interfacial bonding, the composites show both high strength and good ductility. The significant strengthening effect reinforced by the GNPs can be attributed to a homogeneous distribution of in-situ formed TiC nanoparticles and TiC@GNPs strips, resulting in TiC interface/particle strengthening and excellent interfacial load transfer capability

Genetic algorithm optimization for storing arbitrary multimode transverse images in thermal atomic vapor

Storing multimode transverse images in atomic media is crucial in constructing large-scale quantum networks. A major obstacle of storing transverse images in the thermal atomic vapor is the distortion of the retrieved images caused by atomic diffusion. Here, we demonstrate the combination of genetic algorithm with the phase-shift lithography method to construct the optimal phase for an arbitrary transverse image that can diminish the effect of diffusion. Theoretical simulations and experimental results manifest that the retrieved images' resolution can be substantially improved when carrying the optimal phases. Our scheme is efficient and straightforward and can be extensively applied in storing complex transverse multimodes in diffusion media

Intracoronary artery retrograde thrombolysis combined with percutaneous coronary interventions for ST-segment elevation myocardial infarction complicated with diabetes mellitus: A case report and literature review

BackgroundThe management of a large thrombus burden in patients with acute myocardial infarction and diabetes is still a worldwide problem.Case presentationA 74-year-old Chinese woman presented with ST-segment elevation myocardial infarction (STEMI) complicated with diabetes mellitus and hypertension. Angiography revealed massive thrombus formation in the mid-segment of the right coronary artery leading to vascular occlusion. The sheared balloon was placed far from the occlusion segment and urokinase (100,000 u) was administered for intracoronary artery retrograde thrombolysis, and thrombolysis in myocardial infarction (TIMI) grade 3 blood flow was restored within 7 min. At last, one stent was accurately implanted into the culprit’s vessel. No-reflow, coronary slow flow, and reperfusion arrhythmia were not observed during this process.ConclusionIntracoronary artery retrograde thrombolysis (ICART) can be effectively and safely used in patients with STEMI along with diabetes mellitus and hypertension, even if the myocardial infarction exceeds 12 h (REST or named ICART ClinicalTrials.gov number, ChiCTR1900023849)

Kernel Parameter Optimization for KFDA Based on the Maximum Margin Criterion

Kernel parameters optimization is one of the most challenging problems on kernel Fisher discriminant analysis (KFDA). In this paper, a simple and effective KFDA kernel parameters optimization criterion is proposed on the basis of the maximum margin criterion (MMC) that maximize the distances between any two classes. Actually, this MMC-based criterion is applied to the kernel parameters optimization on KFDA and KFDA with Locally Linear Embedding affinity matrix (KFDA-LLE). It is demonstrated by the experiments on six realworld multiclass datasets that, in comparison with two other criteria, our MMC-based criterion can detect the optimal KFDA kernel parameters more accurately in the cases of both RBF kernel and polynomial kernel.EICPCI-S(ISTP)

The Numerical Simulations of Clay-Concrete Interface Tests on the Mesoscopic Level

The issue of the interface between soils and structures is an important research area in the high embankment dam. The particle flow code (PFC3D) that uses the discrete element method, can be used to research various geotechnical engineering problems, including the interface problems. Numerical simulations by PFC3D entail the mesoscopic parameters of walls and particles, i.e. the cohesion strength, tensile strength, the wall friction and the interparticle friction that are critical to determine whether the results of the simulations can be consistent with those of tests. On the basis of a large number of numerical simulation tests, this paper tries to reveal the connections between these mesoscopic parameters and macroscopic mechanical properties in the clay-concrete interface tests. Then macroscopic and mesoscopic properties of the interface are analysed by numerical simulations

The Numerical Simulations of Clay-Concrete Interface Tests on the Mesoscopic Level

The issue of the interface between soils and structures is an important research area in the high embankment dam. The particle flow code (PFC3D) that uses the discrete element method, can be used to research various geotechnical engineering problems, including the interface problems. Numerical simulations by PFC3D entail the mesoscopic parameters of walls and particles, i.e. the cohesion strength, tensile strength, the wall friction and the interparticle friction that are critical to determine whether the results of the simulations can be consistent with those of tests. On the basis of a large number of numerical simulation tests, this paper tries to reveal the connections between these mesoscopic parameters and macroscopic mechanical properties in the clay-concrete interface tests. Then macroscopic and mesoscopic properties of the interface are analysed by numerical simulations