Case Report of a Chronic Wound Due to Venous Insufficiency Following a Traumatic Arteriovenous Fistula

Chronic lower limb wounds are common. They can be of arterial or venous origin. In this article, we will present a clinical case of a 30-year-old patient with a chronic injury to the right medial malleolus. In his history, we can note a gunshot wound to the right leg. Ultrasonography and CT angiography helped in the diagnosis of traumatic arteriovenous fistula. The patient underwent a fistula embolization which allowed the wound to heal. The clinical presentation, additional examinations and the latest treatment recommendations will be discussed in this article.

The effect of aneurismal-wall mechanical properties on patient-specific hemodynamic simulations:two clinical case reports

Hemodynamic factors such as the wall shear stress play an important role in the pathogenesis and treatment of cerebral aneurysms. In present study, we apply computational fluid-structure interaction analyses on cerebral aneurysms with two different constitutive relations for aneurismal wall in order to investigate the effect of the aneurismal wall mechanical properties on the simulation results. We carry out these analyses by using two patient-specific models of cerebral aneurysms of different sizes located in different branches of the circle of Willis. The models are constructed from 3D rotational angiography image data and blood flow dynamics is studied under physiologically representative waveform of inflow. From the patient models analyzed in this investigation, we find that the deformations of cerebral aneurysms are very small. But due to the nonlinear character of the Navier-Stokes equations, these small deformations could have significant influences on the flow characteristics. In addition, we find that the aneurismal-wall mechanical properties have great effects on the deformation distribution of the aneurysm, which also affects the wall shear stress distribution and flow patterns. Therefore, how to define a proper constitutive relation for aneurismal wall should be considered carefully in the hemodynamic simulation.

Extinction coefficient per CdE （E = Se or S） unit for zinc- blende CdE nanocrystals

The extinction coefficient of semiconductor nanocrystals is a key parameter for understanding both the quantum confinement and applications of the nanocrystals. The existing extinction coefficients of CdE （E = Se, S） nanocrystals were found to have an unacceptable deviation for the zinc-blende CdE quantum dots （QDs）. The analysis reveals that, in addition to the interference of impurities, the commonly applied extinction coefficient per CdE nanocrystal is sensitive to the size, shape, and density of the surface ligands of nanocrystals. The extinction coefficient per CdE unit does not depend on accurate information of the size, shape, and number of surface ligands of the nanocrystals. A new three-step purification scheme was developed to investigate three classes of possible impurities for accurate determination of the extinction coefficient per CdE unit, including CdE clusters not considered previously. Given that the sole ligands of zinc-blende CdE nanocrystals are cadmium fatty acid salts （CdFa2）, a universal formula for the nanocrystals can be written as （CdE）,（CdFa2）,. The n：rn ratio was accurately determined for purified nanocrystals. The resulting extinction coefficients per unit for both CdSe and CdS QDs were found to decrease exponentially as the size of the QDs increases, with the corresponding bulk value as the large-size limit.

Supramolecular Self-assembly Behaviors of Asymmetric Diblock Copolymer Blends with Hydrogen Bonding Interactions between Shorter Blocks Modelled by Yukawa Potentials

We employed the extended self-consistent field theory to investigate the supramolecular self-assembly behaviors of asymmetric diblock copolymer blends(AB/B’C)with hydrogen bonding interactions between shorter B and B’blocks.The hydrogen bonding interactions are described by Yukawa potentials,where the hydrogen bonding donors and acceptors were modelled as two blocks smeared with opposite screened charges.The hierarchical microstructures with parallelly packed lamellae-in-lamellae(Lam)and 4.8.8 Archimedean tilting pattern(4.8.8)were observed at lower and higher hydrogen bonding density(θ),respectively.The hierarchy of Lam and 4.8.8 were demonstrated by the one-and two-dimensional density profiles and the underlying order of the large-length-scale and small-length-scale microstructures were also clarified.It was found that the 4.8.8 is favorable to the stronger hydrogen bonding density or interactions.Asθincreases,the microphase transition from Lam to 4.8.8 occurs atθ=0.34,which is mainly attributed to the optimization of the electrostatic energy and conformational entropy with sacrificing the interfacial energy.This work can provide a new strategy to understand the supramolecular self-assembly as well as the mechanism behind the formation of complex hierarchical microstructures.

Data-driven distribution network topology identification considering correlated generation power of distributed energy resource

This paper proposes a data-driven topology identification method for distribution systems with distributed energy resources(DERs).First,a neural network is trained to depict the relationship between nodal power injections and voltage magnitude measurements,and then it is used to generate synthetic measurements under independent nodal power injections,thus eliminating the influence of correlated nodal power injections on topology identification.Second,a maximal information coefficient-based maximum spanning tree algorithm is developed to obtain the network topology by evaluating the dependence among the synthetic measurements.The proposed method is tested on different distribution networks and the simulation results are compared with those of other methods to validate the effectiveness of the proposed method.

Phylogenetic Analysis of Serogroup O5 Vibrio cholerae that Caused Successive Cholera Outbreaks——Guangdong Province,China,2020-2021

Introduction:Gastroenteritis caused by non-O1/non-O139 Vibrio cholerae exhibited an increasing trend in recent years in China.Whole genome sequence(WGS)data could play an important role both in the identification of the outbreaks and in the determination of the serogroup.Here,we present the employment of WGS data in the investigation of two outbreaks caused by non-O1/non-O139 V.cholerae in Guangdong,China,2020-2021.Methods:We obtained the whole genome sequence of 66 V.cholerae strains isolated in two outbreaks with next generation sequencing technology.We retrieved the publicly available WGS data of non-O1/non-O139 V.cholerae from public database.We used a pipeline integrated in China Pathogen Identification Net(PIN)to complete the phylogenetic analysis.Results:Two outbreaks caused by non-O1/non-O139 V.cholerae were identified using WGS data.These V.cholerae strains were determined as serogroup O5.Type 3 and 6 secretion systems were detected in these serogroup O5 strains.These serogroup O5 strains belonged to sequence type(ST)88.Conclusions:Our analysis indicated the risk of non-O1/non-O139 V.cholerae leading to outbreaks of diarrheal diseases.The application of genomic data played an important role in the identification of the serogroup of non-O1/non-O139 V.cholerae in the lack of antiserum,which gave an example of the application of genome data in disease surveillance and public health emergency response.