Meyersdavis2259

Van-der Waals heterostructures assembled from one or few atomic layer thickness crystals are becoming increasingly more popular in condensed matter physics. These structures are assembled using transfer machines, those are based on mask aligners, probe stations or are home-made. For many laboratories it is vital to build a simple, convenient and universal transfer machine. In this paper we discuss the guiding principles for the design of such a machine, review the existing machines and demonstrate our own construction, that is powerful and fast-in-operation. All components of this machine are extremely cheap and can be easily purchased using common online retail services. Moreover, assembling a heterostructure out of exfoliated commercially available hexagonal boron nitride and tungsten diselenide crystals with a pick-up technique and using the microphotolumenescence spectra, we show well-resolved exciton and trion lines, as a results of disorder suppression in WSe2 monolayer. Our results thus show that technology of the two-dimensional materials and heterostructures becomes accessible to anyone.The emerging, often multidrug-resistant Candida auris is increasingly being associated with outbreaks in healthcare facilities. Here we describe the molecular epidemiology of a C. auris outbreak during 18 months, which started in 2018 in the high dependency unit (HDU) of a secondary-care hospital in Kuwait. Demographic and clinical data for candidemia and colonized patients were prospectively recorded. Clinical and environmental isolates were subjected to phenotypic and molecular identification; antifungal susceptibility testing by broth microdilution method; PCR-sequencing of ERG11 and FKS1 for resistance mechanisms to triazoles and echinocandins, respectively; and molecular fingerprinting by short tandem repeat (STR) analyses. Seventy-one (17 candidemic and 54 colonized) patients including 26 with candiduria and seven environmental samples yielded C. auris. All isolates were identified as C. auris by Vitek2, MALDI-TOF MS, PCR amplification and/or PCR-sequencing of rDNA. Twelve candidemia and 26 colonized patients were admitted or exposed to HDU. Following outbreak recognition, an intensive screening program was instituted for new patients. Despite treatment of all candidemia and 36 colonized patients, 9 of 17 candidemia and 27 of 54 colonized patients died with an overall crude mortality rate of ~50%. Nearly all isolates were resistant to fluconazole and contained the Y132F mutation in ERG11 except one patient's isolates, which were also distinct by STR typing. Only urine isolates from two patients developed echinocandin resistance with concomitant FKS1 mutations. The transmission of C. auris in this outbreak was linked to infected/colonized patients and the hospital environment. However, despite continuous surveillance and enforcement of infection control measures, sporadic new cases continued to occur, challenging the containment efforts.On-site manual inspection of metro tunnel leakages has been faced with the problems of low efficiency and poor accuracy. An automated, high-precision, and robust water leakage inspection method is vital to improve the manual approach. Existing approaches cannot provide the leakage location due to the lack of spatial information. Therefore, an integrated deep learning method of water leakage inspection using tunnel lining point cloud data from mobile laser scanning is presented in this paper. It is composed of three parts as follows (1) establishment of the water leakage dataset using the acquired point clouds of tunnel linings; (2) automated leakage detection via a mask-region-based convolutional neural network; and (3) visualization and quantitative evaluation of the water leakage in 3D space via a novel triangle mesh method. The testing result reveals that the proposed method achieves automated detection and evaluation of tunnel lining water leakages in 3D space, which provides the inspectors with an intuitive overall 3D view of the detected water leakages and the leakage information (area, location, lining segments, etc.).Lactoferrin (Lf) and other whey proteins have been isolated from red deer milk for the first time using a three-step anion and cation exchange chromatography protocol. The separated deer Lf was subject to in vitro gastric and duodenal digestions to generate peptides. The purity of the deer Lf and its hydrolysis products were analyzed by SDS-PAGE. The antibacterial activity of the deer Lf and its hydrolysates were investigated and was compared to cow counterpart. Gastric and duodenal digested deer Lf had strong bactericidal activity against E. coli ATCC 25922 with minimum inhibition concentration (MIC) of 280 µM and 402 µM, respectively. These results suggest that deer milk contains bioactive whey proteins and can generate bioactive peptides, which can benefit human health by inhibiting food-borne pathogenic bacteria.Purpose Fewer studies are about the influence of psychopath traits on moral judgment and the underlying psychological mechanism in Chinese cultural background. In this paper, we use the creative CNI (Consequences, Norms, Inaction versus action) model to quantify the subject's reaction to moral dilemmas. Method In this research, the Chinese version of the Levenson Psychopathic Scale, CNI model materials, and a multinomial model to further analyze the associations among the psychopathy characteristics and utilitarian moral judgment are applied. The CNI model is proposed by Gawronski et al., which can quantify the subjects' sensitivity to moral consequence, sensitivity to moral norms, and the general preference for inaction or action in moral dilemmas. Result This study finds that there were significant differences in the utilitarian moral judgment between the groups, t (360) = 3.24, p = 0.001, and Cohen's d = 0.36. AZD9291 The analysis results of the CNI model show that the high psychopathy group on the N parameter was significantly lower than the group of low psychopathy, ΔG2 (2) = 79.70, p = 0.001. In terms of the C parameter, we found no significant distinctions between the two groups, ΔG2 (2) = 1.356, p = 0.244. For the I parameter, the two groups also have no significant differences, ΔG2 (2) = 0.093, p = 0.76. Conclusion Persons with high psychopathy traits prefer to make more utilitarian moral judgments and have a weak sensitivity to moral norms (N). The sensitivity to consequences (C) of the two groups is no significant difference. The general preference for inaction versus action (I) also has no significant differences between those two groups. Moreover, the CNI model fits well in Chinese subjects.