No abstract

Efficient processing of imagery derived from remote sensing systems has become ever more important due to increasing data sizes, rates, and bit depths. This paper proposes a target detection method that uses a special class of wavelets based on highly frequency-selective directional filter banks. The approach helps isolate object features in different directional filter output components. These components lend themselves well to the application of powerful denoising and edge detection procedures in the wavelet domain. Edge information is derived from directional wavelet decompositions to detect targets of known dimension in electro optical imagery. Results of successful detection of objects using the proposed method are presented in the paper. The approach highlights many of the benefits of working with directional wavelet analysis for image denoising and detection.

The United States National Aeronautics and Space Administration's (NASA's) mandate is a human mission to Mars in the 2030s and sustained exploration of Mars requires in situ resource utilization (ISRU). Exploiting the Martian water cycle (alongside perchlorate salts that depress water's freezing point to <213 K) and the available 95 vol.% atmospheric CO 2 , we detail an ultra-low temperature (255 K) CO 2 -H 2 O electrolyzer to produce methane fuel and life-supporting oxygen on Mars. Our polarization model fit experimental Martian brine electrolyzer performance and predicted CO 2 electrolysis occurring at comparatively lower potentials (vs. water electrolysis) on Mars. A hypothetical 10-cell, 100 cm 2 electrode-area-per-cell electrolyzer produced 0.45 g W À1 day À1 of CH 4 and 3.55 g W À1 day À1 of O 2 at 2 V/cell and 50% electrolyzer faradaic efficiency versus a best-case production of 2.5 g W À1 day À1 of O 2 by the Mars Oxygen in situ Resource Utilization Experiment (MOXIE) from NASA's Mars 2020 mission (MOXIE produces no fuel). Material performance requirements are presented to advance this technology as an energy-efficient complement to MOXIE.

This study evaluates the capability of Navier–Stokes solvers in predicting forward and backward plunging breaking, including assessment of the effect of grid resolution, turbulence model, and VoF, CLSVoF interface models on predictions. For this purpose, 2D simulations are performed for four test cases: dam break, solitary wave run up on a slope, flow over a submerged bump, and solitary wave over a submerged rectangular obstacle. Plunging wave breaking involves high wave crest, plunger formation, and splash up, followed by second plunger, and chaotic water motions. Coarser grids reasonably predict the wave breaking features, but finer grids are required for accurate prediction of the splash up events. However, instabilities are triggered at the air–water interface (primarily for the air flow) on very fine grids, which induces surface peel-off or kinks and roll-up of the plunger tips. Reynolds averaged Navier–Stokes (RANS) turbulence models result in high eddy-viscosity in the air–water region which decays the fluid momentum and adversely affects the predictions. Both VoF and CLSVoF methods predict the large-scale plunging breaking characteristics well; however, they vary in the prediction of the finer details. The CLSVoF solver predicts the splash-up event and secondary plunger better than the VoF solver; however, the latter predicts the plunger shape better than the former for the solitary wave run-up on a slope case.

Introduction: Coronavirus disease 2019 (COVID-19) infections have strained hospital resources worldwide. As a result, many facilities have suspended elective operations and ambulatory procedures. As the incidence of new cases of COVID-19 decreases, hospitals will need policies and algorithms to facilitate safe and orderly return of normal activities. We describe the recommendations of a task force established in a multi-institutional healthcare system for resumption of elective operative and ambulatory procedures applicable to all hospitals and service lines. Methods: MedStar Health created a multidisciplinary task force to develop guidelines for resumption of elective surgeries/procedures. The primary focus areas included the establishment of a governance structure at each healthcare facility, prioritization of elective cases, preoperative severe acute respiratory syndrome coronavirus 2 testing, and an assessment of the needs and availability of staff, personal protective equipment, and other essential resources. Results: Each hospital president was tasked with establishing a local perioperative leadership team answering directly to them and granted the authority to prioritize elective surgery and ambulatory procedures. An elective surgery algorithm was established using a simplified Medically Necessary Time Sensitive score, with multiple steps requiring a “go/no-go” assessment based on local resources. In addition, mandatory preoperative COVID testing policies were developed and operationalized. Conclusions: Even when the COVID pandemic has passed, hospitals and surgical centers will require COVID screening and testing, case prioritization, and supply chain management to provide care essential to the surgical patient while protecting their safety and that of staff. Our guidelines consider these factors and are applicable to both tertiary academic medical centers and smaller community facilities.