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\"Fun, bright, and playful, Power Pop is a sometimes adored, sometimes maligned, often misunderstood genre of music. From its heyday in the '70s and '80s to its resurgence in the '90s and '00s, Power Pop has meant many things to many people. In Go All the Way, today's best and brightest writers go deep on what certain Power Pop bands and songs mean and have meant to them. Whether they love or hate it, Go All the Way is a dive into the Beatles-inspired pop rock of the last five decades.\"--Provided by publisher.

An important question is will deep convection sites, where deep waters are ventilated and air-gas exchange into the deep ocean occurs, emerge in the Arctic Ocean with the warming climate. As sea ice retreats northward and as Arctic sea ice becomes younger and thinner, air-sea interactions are strengthening in the high-latitude oceans. This includes new and extreme deep convection events. We investigate the associated physical processes and examine impacts and implications. Focusing on a region near the Arctic gateway of Fram Strait, our study confirms a significant sea ice cover reduction north of Svalbard in 2018 compared to the past decade, shown in observations and several numerical studies. We conduct our study using the regional configuration Arctic and North Hemisphere Atlantic of the ocean/sea ice model NEMO, running at 1/12° resolution (ANHA12). Our numerical study shows that the open water condition during the winter of 2018 allows intense winter convection over the Yermak Plateau, as more oceanic heat is lost to the atmosphere without the insulating sea ice cover, causing the mixed layer depth to reach over 600 m. Anomalous wind prior to the deep convection event forces offshore sea ice movement and contributes to the reduced sea ice cover. The sea ice loss is also attributed to the excess heat brought by the Atlantic Water, which reaches its maximum in the preceding winter in Fram Strait. The deep convection event coincides with enhanced mesoscale eddy activity on the boundary of the Yermak Plateau, especially to the east. The resulting substantial heat loss to the atmosphere also leads to a heat content reduction integrated over the Yermak Plateau region. This event can be linked to the minimum southward sea ice volume flux through Fram Strait in 2018, which is a potential negative freshwater anomaly in the subpolar Atlantic.

The Atlantic Meridional Overturning Circulation (AMOC) is an important component of ocean thermohaline circulation. Melting of Greenland’s ice sheet is freshening the North Atlantic; however, whether the augmented freshwater flux is disrupting the AMOC is unclear. Dense Labrador Sea Water (LSW), formed by winter cooling of saline North Atlantic water and subsequent convection, is a key component of the deep southward return flow of the AMOC. Although LSW formation recently decreased, it also reached historically high values in the mid-1990s, making the connection to the freshwater flux unclear. Here we derive a new estimate of the recent freshwater flux from Greenland using updated GRACE satellite data, present new flux estimates for heat and salt from the North Atlantic into the Labrador Sea and explain recent variations in LSW formation. We suggest that changes in LSW can be directly linked to recent freshening, and suggest a possible link to AMOC weakening. Labrador Sea convection and the Atlantic overturning circulation are sensitive to surface freshening of the North Atlantic. Here, the authors show that the recent increases in Arctic freshwater flux can directly weaken Labrador Sea convection and potentially affect the overturning circulation.

The accurate assessment of a patient’s risk of adverse events remains a mainstay of clinical care. Commonly used risk metrics have been based on logistic regression models that incorporate aspects of the medical history, presenting signs and symptoms, and lab values. More sophisticated methods, such as Artificial Neural Networks (ANN), form an attractive platform to build risk metrics because they can easily incorporate disparate pieces of data, yielding classifiers with improved performance. Using two cohorts consisting of patients admitted with a non-ST-segment elevation acute coronary syndrome, we constructed an ANN that identifies patients at high risk of cardiovascular death (CVD). The ANN was trained and tested using patient subsets derived from a cohort containing 4395 patients (Area Under the Curve (AUC) 0.743) and validated on an independent holdout set containing 861 patients (AUC 0.767). The ANN 1-year Hazard Ratio for CVD was 3.72 (95% confidence interval 1.04–14.3) after adjusting for the TIMI Risk Score, left ventricular ejection fraction, and B-type natriuretic peptide. A unique feature of our approach is that it captures small changes in the ST segment over time that cannot be detected by visual inspection. These findings highlight the important role that ANNs can play in risk stratification.

There are several compelling reasons for airlines to consider single pilot operations including economic savings, coping with a shortage of pilots, and automation and artificial intelligence technology advancement. To adequately explore this concept, differing aviation industry views of single pilot operations (SPO), challenges associated with single pilot operations, an overview of current SPO research and options, and conclusions and recommendations are presented. Ultimately, many obstacles to implementation must be overcome including convincing the general public that it safe which may be the biggest challenge of all. However, SPO will continue to move forward not only due to potential commercial aviation economic benefits, but also because one day, technology will allow it and perhaps even demand it.

For decades oceanographers have understood the Atlantic meridional overturning circulation (AMOC) to be primarily driven by changes in the production of deep-water formation in the subpolar and subarctic North Atlantic. Indeed, current Intergovernmental Panel on Climate Change (IPCC) projections of an AMOC slowdown in the twenty-first century based on climate models are attributed to the inhibition of deep convection in the North Atlantic. However, observational evidence for this linkage has been elusive: there has been no clear demonstration of AMOC variability in response to changes in deep-water formation. The motivation for understanding this linkage is compelling, since the overturning circulation has been shown to sequester heat and anthropogenic carbon in the deep ocean. Furthermore, AMOC variability is expected to impact this sequestration as well as have consequences for regional and global climates through its effect on the poleward transport of warm water. Motivated by the need for a mechanistic understanding of the AMOC, an international community has assembled an observing system, Overturning in the Subpolar North Atlantic Program (OSNAP), to provide a continuous record of the transbasin fluxes of heat, mass, and freshwater, and to link that record to convective activity and water mass transformation at high latitudes. OSNAP, in conjunction with the Rapid Climate Change–Meridional Overturning Circulation and Heatflux Array (RAPID–MOCHA) at 26°N and other observational elements, will provide a comprehensive measure of the three-dimensional AMOC and an understanding of what drives its variability. The OSNAP observing system was fully deployed in the summer of 2014, and the first OSNAP data products are expected in the fall of 2017.

Numerical model studies have shown that the lateral buoyancy transports from eddies restratify the convection region in the Labrador Sea. However, restratification by vertical motion during and after convection has been underestimated. Here we use a model with 1°/60° resolution which can resolve mesoscale and submesoscale motions, and find that negative feedback that includes the generation of vertical eddy buoyancy flux (VEBF) committed to restratify the mixed layer. In winter, VEBF compensates for nearly half of the surface buoyancy loss and is as important as the lateral buoyancy fluxes in the eddy‐rich region, which results in restraining the development of deep convection. During this period, the surge of VEBF was due to seasonally enhanced frontogenesis, mixed layer instability and the interaction between strong surface winds and eddies on a 10‐day timescale. Therefore, well parameterizing VEBF is important in improving the representation of the deep convection in coarse‐grid climate models. Plain Language Summary Wintertime deep convection in the Labrador Sea deepens the surface mixed layer to exceed 1 km. Thus, a deep‐water mass will be formed when the sea surface is restratified in spring. This deep‐water mass contributes to the North Atlantic Deep Water and the Meridional Overturning Circulation. Simulating deep convection accurately is significant in climate prediction. Hence, restratification processes are a vital factor in modulating deep convection and need to be understood and accurately simulated. However, climate models that fail to resolve the eddy induced stratification significantly overestimate the convection strength. Though the previous generation of eddy‐rich models (∼1°/12 spatial resolution) could resolve the mesoscale eddies that bring buoyancy laterally to enhance restratification and thus decrease mixed layer depth (MLD) in winter and spring, a gap between model and observational MLD still existed. Now we use an extra‐high resolution ocean model (∼1°/60) which can partly resolve submesoscale fronts and eddies in the mixed layer and demonstrate the vertical motion associated an upward buoyancy flux can enhance the mixed layer restratification during and after the deep convection. It is as important as the lateral buoyancy fluxes in the upper ocean buoyancy budget and further restricts the MLD to close to the observation. Finally, we find that upward buoyancy flux can be attributed to the intensified fronts in the strain field and wind forced mixing induced balance at fronts in this fine resolution model, which mechanically become a negative feedback effect in restraining MLD deepening. Key Points Vertical eddy buoyancy flux is as important as the lateral buoyancy fluxes in compensating surface buoyancy loss in winter Vertical eddy buoyancy flux is produced by the combination of the frontogenesis process and wind‐induced mixing in the mixed layer Resolving the vertical eddy buoyancy flux generation mechanisms in models will enhance simulation of deep convection

A high-resolution coupled ocean–sea ice model is set up within the Labrador Sea. With a horizontal resolution of 1/60∘, this simulation is capable of resolving the multitude of eddies that transport heat and freshwater into the interior of the Labrador Sea. These fluxes strongly govern the overall stratification, deep convection, restratification, and production of Labrador Sea Water. Our regional configuration spans the full North Atlantic and Arctic; however, high resolution is only applied in smaller nested domains within the North Atlantic and Labrador Sea. Using nesting reduces computational costs and allows for a long simulation from 2002 to the near present. Three passive tracers are also included: Greenland runoff, Labrador Sea Water produced during convection, and Irminger Water that enters the Labrador Sea along Greenland. We describe the configuration setup and compare it against similarly forced lower-resolution simulations to better describe how horizontal resolution impacts the representation of the Labrador Sea in the model.

Simulators have been integrated into flight training at various levels for decades, increasing in utility as they increased in fidelity. Today, practically all levels of qualification in passenger-carrying commercial airliners can be obtained entirely in the simulator, with the first experience in the aircraft on a revenue-producing flight. Flight training in the U.S. is a tightly controlled, highly regulated process overseen by the Federal Aviation Administration (FAA). It is also a very successful one; commercial aviation maintains a remarkable safety record. To that end, pilot training has been studied and analyzed extensively over the years, and as to the focus of this paper, the efficacy of simulator training has generated as much debate as consensus with regards to the utility of the devices. Much of this research, to include experiments, has focused on simulator fidelity – how well the device replicates the actual aircraft – and to what extent that training transfers to the aircraft. Very little research has focused on the role and interaction of the simulator instructor with the student(s) and what impact he/she has upon the final training result nor has elements of current instructional design methodology been considered. This paper analyzes vital simulator training concepts, examines accidents and incidents where the investigation revealed potential deficiencies in the training devices used by the crews of these airplanes, and then considers the role of the simulator instructor through the lens of modern instructional design concepts. The authors provide suggestions as to the direction of further research into the vitality of this role in maximizing the potential of training with flight simulators to further safety goals.

The influence of high-frequency atmospheric forcing on the circulation of the North Atlantic Ocean with emphasis on the deep convection of the Labrador Sea was investigated by comparing simulations of a coupled ocean–ice model with hourly atmospheric data to simulations in which the high-frequency phenomena were filtered from the air temperature and wind fields. In the absence of high-frequency atmospheric forcing, the strength of the Atlantic meridional overturning circulation and subpolar gyres was found to decrease by 25%. In the Labrador Sea, the eddy kinetic energy decreased by 75% and the average maximum mixed layer depth decreased by between 20% and 110% depending on the climatology. In particular, high-frequency forcing was found to have a greater impact on mixed layer deepening in moderate to warm years whereas in relatively cold years the temperatures alone were enough to facilitate deep convection. Additional simulations in which either the wind or temperature was filtered revealed that the wind, through its impact on the bulk formulas for latent and sensible heat, had a greater impact on deep convection than the temperature.