Many thoracic surgical procedures previously performed using open thoracotomy techniques can now be accomplished using video-assisted thoracic surgical approaches. This has primarily resulted from ...improvements in both the video and surgical instrumentation and the development of an effective endoscopic surgical stapling device. Laser technology that has been adapted for use in endoscopic surgery has been extended to video-assisted thoracic surgical applications for the resection of pulmonary nodules difficult to manage with the endoscopic stapler alone. We present our experience with the neodymium:yttrium-aluminum garnet laser as either a primary resective tool or as an adjunct to the endoscopic stapler in 67 consecutive patients who underwent video-assisted thoracic surgical wedge resection of the lung.
Earth system models (ESMs) use photosynthetic capacity, indexed by the maximum Rubisco carboxylation rate (Vcmax), to simulate carbon assimilation and typically rely on empirical estimates, including ...an assumed dependence on leaf nitrogen determined from soil fertility. In contrast, new theory, based on biochemical coordination and co‐optimization of carboxylation and water costs for photosynthesis, suggests that optimal Vcmax can be predicted from climate alone, irrespective of soil fertility. Here, we develop this theory and find it captures 64% of observed variability in a global, field‐measured Vcmax dataset for C3 plants. Soil fertility indices explained substantially less variation (32%). These results indicate that environmentally regulated biophysical constraints and light availability are the first‐order drivers of global photosynthetic capacity. Through acclimation and adaptation, plants efficiently utilize resources at the leaf level, thus maximizing potential resource use for growth and reproduction. Our theory offers a robust strategy for dynamically predicting photosynthetic capacity in ESMs.
Since its inception in 1996 with just 15 sites, the AmeriFlux network has grown to include over 300 sites, representing every major ecosystem type across the Americas. This grassroots coalition of ...the willing (Novick et al., 2018) has for the past two decades continuously measured the exchange of carbon, water and energy between ecosystems and the atmosphere. Recent years in particular have seen remarkable growth in both the degree of coordination of activities within the AmeriFlux network, and the number of researchers involved. Through the AmeriFlux Management Project, the network has made public over 1500 site‐years of observations (Fig. 1). The project now represents over 5000 registered members, a quarter of whom have signed up in the past year, who use the observations for a range of applications, including ecosystem science, modeling, and remote sensing, but also education and outreach.
In ophthalmologic practice, retinal images are routinely obtained to diagnose and monitor primary eye diseases and systemic conditions affecting the eye, such as diabetic retinopathy. Recent studies ...have shown that biomarkers on retinal images, for example, retinal blood vessel density or tortuosity, are associated with cardiac function and may identify patients at risk of coronary artery disease. In this work we investigate the use of retinal images, alongside relevant patient metadata, to estimate left ventricular mass and left ventricular end-diastolic volume, and subsequently, predict incident myocardial infarction. We trained a multichannel variational autoencoder and a deep regressor model to estimate left ventricular mass (4.4 (–32.30, 41.1) g) and left ventricular end-diastolic volume (3.02 (–53.45, 59.49) ml) and predict risk of myocardial infarction (AUC = 0.80 ± 0.02, sensitivity = 0.74 ± 0.02, specificity = 0.71 ± 0.03) using just the retinal images and demographic data. Our results indicate that one could identify patients at high risk of future myocardial infarction from retinal imaging available in every optician and eye clinic.Routine eye clinic imaging could help screen patients with cardiovascular risk as studies indicate strong associations between biomarkers in the retina and the heart. This potential is supported by a multimodal study, employing a deep learning model, that can infer cardiac functional indices based on retinal images and demographic data.
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