Maldonadostout1301

A noted deficiency in orthopaedic resident education is a lack of intraoperative autonomy; however, no studies exist evaluating this issue. The purpose of this study was to determine whether there is a difference between resident and attending perception of resident competency and autonomy during arthroscopic rotator cuff repairs and whether increased perceived competency leads to more autonomy.

This study included 21 orthopaedic residents and 7 attendings from a single residency program. A survey was developed that included the previously validated Ottawa Surgical Competency Operating Room Evaluation (O-SCORE) and implemented novel arthroscopic rotator cuff repair questions concerning 5 key procedural steps determined by attendings. The survey assessed resident and attending perception of percent opportunity given and percent completed of each step and whether the resident could complete the surgery independently. Paired comparisons were conducted using the Wilcoxon signed-rank test. Agreement between resid difference in perception between residents and attendings regarding resident competency and autonomy during arthroscopic rotator cuff repairs. It also demonstrated that with increasing attending perception of competency, there was an increasing resident perception of autonomy, but there was no statistically significant difference of perceived autonomy based on the PGY-level.

This study demonstrated a significant difference in perception between residents and attendings regarding resident competency and autonomy during arthroscopic rotator cuff repairs. It also demonstrated that with increasing attending perception of competency, there was an increasing resident perception of autonomy, but there was no statistically significant difference of perceived autonomy based on the PGY-level.As a result of the COVID-19 pandemic, the use of telemedicine has rapidly accelerated. Our orthopaedic department created a telemedicine educational program for residents using standardized patient scenarios. Training residents to use telemedicine will help them navigate through unforeseen issues that otherwise may have never been a consideration. This is not only useful for today's climate but also potentially for the duration of their careers.Machine Learning (ML) algorithms, specifically supervised learning, are widely used in modern real-world applications, which utilize Computational Intelligence (CI) as their core technology, such as autonomous vehicles, assistive robots, and biometric systems. Attacks that cause misclassifications or mispredictions can lead to erroneous decisions resulting in unreliable operations. Designing robust ML with the ability to provide reliable results in the presence of such attacks has become a top priority in the field of adversarial machine learning. DNA Damage inhibitor An essential characteristic for rapid development of robust ML is an arms race between attack and defense strategists. However, an important prerequisite for the arms race is access to a well-defined system model so that experiments can be repeated by independent researchers. This paper proposes a fine-grained system-driven taxonomy to specify ML applications and adversarial system models in an unambiguous manner such that independent researchers can replicate experiments and escalate the arms race to develop more evolved and robust ML applications. The paper provides taxonomies for 1) the dataset, 2) the ML architecture, 3) the adversary's knowledge, capability, and goal, 4) adversary's strategy, and 5) the defense response. In addition, the relationships among these models and taxonomies are analyzed by proposing an adversarial machine learning cycle. The provided models and taxonomies are merged to form a comprehensive system-driven taxonomy, which represents the arms race between the ML applications and adversaries in recent years. The taxonomies encode best practices in the field and help evaluate and compare the contributions of research works and reveals gaps in the field.Based on the Turian-Yuan heterogeneous resistance model, the simulation results of three urban sludge pipelines with a volumetric concentration of 2.38, 3.94, and 5.39% were analyzed. The reasons for the large deviation of the simulation results under high Reynolds number conditions were also analyzed. The results showed that the deviation of the simulation was mainly caused by the difference between the sludge volumetric concentration (C V), the settlement resistance coefficient (C D), and the values of the two parameters in the Turian-Yuan heterogeneous resistance model. Consequently, it was necessary to optimize the index m 1 of C V and the index m 2 of C D. Taking mean square deviation as the objective function, using Matlab programming, the abovementioned two indexes were optimized by the simulated annealing algorithm. The optimized index m 1 of C V was 0.887, and the index m 2 of C D was -0.162. Hence, a modified Turian-Yuan heterogeneous resistance model was obtained. The model verified that the minimum value of the regression coefficient, R 2, of the simulated value reached 0.9701, proving that, the model can be used to simulate the heterogeneous resistance of urban sludge pipeline transportation.Nitrogen-doped hierarchical porous carbons with a rich pore structure were prepared via direct carbonization of the poly(ionic liquid) (PIL)/potassium ferricyanide compound. Thereinto, the bisvinylimidazolium-based PIL was a desirable carbon source, and potassium ferricyanide as a multifunctional Fe-based template, could not only serve as the pore-forming agent, including metallic components (Fe and Fe3C), potassium ions (etching carbon framework during carbonization), and gas generated during the pyrolysis process, but also introduce the N atoms to porous carbons, which were in favor of CO2 capture. Moreover, the hierarchically porous carbon NDPC-1-800 (NDPC, nitrogen-doped porous carbon) had taken advantage of the highest specific surface area, exhibiting an excellent CO2 adsorption capacity and selectivity compared with NDC-800 (NDC, nitrogen-doped carbon) directly carbonized from the pure PIL. Furthermore, its hierarchical porous architectures played an important part in the process of CO2 capture, which was described briefly as follows the synergistic effect of mesopores and micropores could accelerate the CO2 molecules' transportation and storage.