Image feature detector and descriptor algorithms have made a big advance in almost every area of computer vision applications including object localisation, object tracking, mobile robot mapping, ...watermarking, panorama stitching and 3D surface reconstruction by assisting the detection and description of feature points in a set of given images. In this paper, we evaluate the performance of four robust feature detection algorithms namely SIFT, SURF, BRIEF and ORB on multi-view 3D surface reconstruction of microscopic samples obtained by a scanning electron microscope (SEM), a widely used equipment in biological and materials sciences for determining the surface attributes of micro objects. To this end, we first develop an optimised multi-view framework for SEM extrinsic calibration and its 3D surface reconstruction. We design a Differential Evolutionary-based algorithm to solve the problem in a global optimisation platform. Several qualitative and quantitative comparisons such as reliability on SEM extrinsic calibration and validity on 3D visualisation performed on real microscopic objects as well as a synthetic model. The present evaluation is expected to provide better insights and consideration to determine which algorithm is well deserved for multi-view 3D SEM surface reconstruction.
In recent years, antimicrobial resistance has become a major medical threat worldwide. Among these threats, the rapid increase in carbapenem-resistant Acinetobacter baumannii (CRAB) is a particularly ...challenging global issue in the health care setting. In this study, a novel lytic A. baumannii phage, Βϕ-R3177, infecting carbapenem-resistant A. baumannii strains was isolated from sewage samples at a hospital. The morphology of the phage as assessed by transmission electron microscopy (TEM) indicated that it belongs to the family Siphoviridae within the order Caudovirales. It has a linear double-stranded DNA genome of 47,575 bp with a G+C content of 39.83 %. Eighty open reading frames (ORFs) were predicted; however, only 14 ORFs were annotated as encoding functional proteins, while most of the ORFs encoded hypothetical proteins. Among the total ORFs of the phage genome, no toxin-related genes were detected. A bioinformatics analysis showed that the whole genome sequence of phage Βϕ-R3177 exhibited 62 % sequence similarity to that of Acinetobacter phage Βϕ-B1252, but there was no homology seen with other phages. Physiological characteristics, such as one-step growth properties, pH and temperature stability, and host cell lysis activity showed this phage has high stability and lytic activity against host bacteria and therefore has potential applicability as an antibacterial agent to control pathogens in the hospital environment.
Previously, by targeting penicillin-binding protein 3, Pseudomonas-derived cephalosporinase (PDC), and MurA with ceftazidime-avibactam-fosfomycin, antimicrobial susceptibility was restored among ...multidrug-resistant (MDR) Pseudomonas aeruginosa. Herein, ceftazidime-avibactam-fosfomycin combination therapy against MDR P. aeruginosa clinical isolate CL232 was further evaluated. Checkerboard susceptibility analysis revealed synergy between ceftazidime-avibactam and fosfomycin. Accordingly, the resistance elements present and expressed in P. aeruginosa were analyzed using whole-genome sequencing and transcriptome profiling. Mutations in genes that are known to contribute to β-lactam resistance were identified. Moreover, expression of blaPDC, the mexAB-oprM efflux pump, and murA were upregulated. When fosfomycin was administered alone, the frequency of mutations conferring resistance was high; however, coadministration of fosfomycin with ceftazidime-avibactam yielded a lower frequency of resistance mutations. In a murine infection model using a high bacterial burden, ceftazidime-avibactam-fosfomycin significantly reduced the P. aeruginosa colony-forming units (CFUs), by approximately 2 and 5 logs, compared with stasis and in the vehicle-treated control, respectively. Administration of ceftazidime-avibactam and fosfomycin separately significantly increased CFUs, by approximately 3 logs and 1 log, respectively, compared with the number at stasis, and only reduced CFUs by approximately 1 log and 2 logs, respectively, compared with the number in the vehicle-treated control. Thus, the combination of ceftazidime-avibactam-fosfomycin was superior to either drug alone. By employing a "mechanism-based approach" to combination chemotherapy, we show that ceftazidime-avibactam-fosfomycin has the potential to offer infected patients with high bacterial burdens a therapeutic hope against infection with MDR P. aeruginosa that lack metallo-β-lactamases.
The direct simulation Monte Carlo (DSMC) is a computational method for fluid mechanics simulation in the regime of rarefied gas flow. It is a numerical solution of the Boltzmann equation based on an ...individual particle basis. Accurate simulations typically require particle numbers in the range of hundreds of thousands to millions. Such large simulations require an inordinate amount of time for processing using serial computing on central processing units (CPUs). In this paper we investigate data-parallel techniques on graphics processing units (GPUs) to execute very large scale DSMC simulations. We have designed and implemented Bird’s method on a three-dimensional simulation domain that includes complex geometry interactions. We also have tested and verified the statistical and theoretical accuracy of our implementation. Our results show substantial performance improvements (nearly two orders of magnitude) over Bird’s serial implementation without loss of accuracy.
Physics-informed neural networks (PINNs) are a recent trend in scientific machine learning research and modeling of differential equations. Despite progress in PINN research, large gradients and ...highly nonlinear patterns remain challenging to model. Thin boundary layer problems are prominent examples of large gradients that commonly arise in transport problems. In this study, boundary-layer PINN (BL-PINN) is proposed to enable a solution to thin boundary layers by considering them as a singular perturbation problem. Inspired by the classical perturbation theory and asymptotic expansions, BL-PINN is designed to replicate the procedure in singular perturbation theory. Namely, different parallel PINN networks are defined to represent different orders of approximation to the boundary layer problem in the inner and outer regions. In different benchmark problems (forward and inverse), BL-PINN shows superior performance compared to the traditional PINN approach and is able to produce accurate results, whereas the classical PINN approach could not provide meaningful solutions. BL-PINN also demonstrates significantly better results compared to other extensions of PINN such as the extended PINN (XPINN) approach. The natural incorporation of the perturbation parameter in BL-PINN provides the opportunity to evaluate parametric solutions without the need for retraining. BL-PINN demonstrates an example of how classical mathematical theory could be used to guide the design of deep neural networks for solving challenging problems.
•BL-PINN is proposed for deep learning modeling of thin boundary layers.•BL-PINN blends classical perturbation theory in its neural network architecture.•Accurate solution to thin boundary layers is obtained in benchmark problems.•BL-PINN incorporates parametric dependence in its prediction without retraining.•BL-PINN provides a hybrid PINN and reduced-physics model.
Antibiotic-resistant
is an opportunistic pathogen causing serious human infections worldwide. Here, we report the complete annotated genome of bacteriophage SA75, a member of the
family which could ...be an alternative to traditional antibiotics for treating
infections. We used a hybrid approach combining MinION and Illumina MiSeq sequencing, which yielded a 43,134-bp genome and 65 open reading frames.
Abstract
In an infection with an Enterobacter sp. isolate producing Klebsiella pneumoniae Carbapenemase–4 and New Delhi Metallo-β-Lactamase–1 in the United States, recognition of the molecular basis ...of carbapenem resistance allowed for successful treatment by combining ceftazidime-avibactam and aztreonam. Antimicrobial synergy testing and therapeutic drug monitoring assessed treatment adequacy.
In this paper we present a set of graphics hardware accelerated algorithms to interactively evaluate the machinability of complex free-form surfaces. These algorithms work in image space and easily ...interface with all common formats available on CAD systems. The running time of these algorithms is independent of the complexity of the surface to be analyzed and depends only on the size of the projected image of the surface and the largest available tool head. Interactive speed is achieved through clever use of data-parallel techniques that map nicely onto the programming model of modern programmable graphics processing units. We demonstrate a method for pre-calculating and storing the machinability of a surface within a texture to further reduce rendering costs. The algorithms are implemented and tested on a complex set of parts and their performance has been analyzed.
Implantable loop recorders are commonly used to sense arrhythmias. The purpose of this study is to assess the P- and R-wave amplitudes at implantation (I) and follow-up (F) following insertion of the ...Reveal LINQ™ Insertable Cardiac Monitor (Medtronic, Minneapolis, MN) in an institutional review board-approved, multicenter study performed on pediatric patients younger than 18 years old. Collected data included demographics, presence of congenital heart disease (CHD), P- and R-wave-sensed amplitude at I and F, and the method of implant (i.e. mapping or standard.) P waves were manually measured and R-wave sensing was recorded by the device. A total of 87 patients had a Reveal LINQ™ (Medtronic, Minneapolis, MN) device implanted; the mean patient age was 11.8 years (0.5 years to 18 years) with 48% of patients being female and 19% of patients having CHD; mapping was used in 43% of patients. The Reveal LINQ™ (Medtronic, Minneapolis, MN) experienced no change in average sensed R-wave amplitude at either I or F (1.28 mV vs 1.26 mV, p = NS). There was no difference in sensed R-wave amplitude noted with or without mapping used at I (1.29 mV vs 1.26 mV, p = NS) or F (1.48 mV vs 1.18 mV, p = NS). Additionally, no difference could be found in R-wave sensing of patients with CHD or without CHD at I (1.26 mV vs 1.4 mV, p = NS) or F (1.32 mV vs 1.32 mV, p = NS). R-wave sensing trended towards being inversely proportional to patient body surface area (BSA) (p = NS). P waves were detected on 48% of tracings in all patients at I and/or F, irrespective of whether the Reveal LINQ™ (Medtronic, Minneapolis, MN) device was placed with mapping. The R wave was (0.37–3.5 mV) at I and (0.3–3 mV) (p = NS) at F when P waves were detected. From these results, it can be said that the Reveal LINQ™ Insertable Cardiac Monitor (Medtronic, Minneapolis, MN) has an excellent ability to sense R-wave amplitude in pediatric patients. No significant difference in the sensing ability of the device could be identified with respect to the presence of CHD, use of mapping or BSA. P waves tended to be identified when there was a higher baseline R-wave amplitude.
This paper presents a new method for evaluating boolean set operations between Binary Space Partition (BSP) trees. Our algorithm has many desirable features, including both numerical robustness and
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output sensitive time complexity, while simultaneously admitting a straightforward implementation. To achieve these properties, we present two key algorithmic improvements. The first is a method for eliminating null regions within a BSP tree using linear programming. This replaces previous techniques based on polygon cutting and tree splitting. The second is an improved method for compressing BSP trees based on a similar approach within binary decision diagrams. The performance of the new method is analyzed both theoretically and experimentally. Given the importance of boolean set operations, our algorithms can be directly applied to many problems in graphics, CAD and computational geometry.