Modeling plant composition as community continua in a forest landscape with LiDAR and hyperspectral remote sensing.

In light of the need to operationalize the mapping of forest composition at landscape scales, this study uses multi-scale nested vegetation sampling in conjunction with LiDAR-hyperspectral remotely sensed data from the G-LiHT airborne sensor to map vascular plant compositional turnover in a compositionally and structurally complex North Carolina Piedmont forest. Reflecting a shift in emphasis from remotely sensing individual crowns to detecting aggregate optical-structural properties of forest stands, predictive maps reflect the composition of entire vascular plant communities, inclusive of those species smaller than the resolution of the remotely sensed imagery, intertwined with proximate taxa, or otherwise obscured from optical sensors by dense upper canopies. Stand-scale vascular plant composition is modeled as community continua: where discrete community-unit classes at different compositional resolutions provide interpretable context for continuous gradient maps that depict n-dimensional compositional complexity as a single, consistent RGB color combination. In total, derived remotely sensed predictors explain 71%, 54%, and 48% of the variation in the first three components of vascular plant composition, respectively. Among all remotely sensed environmental gradients, topography derived from LiDAR ground returns, forest structure estimated from LiDAR all returns, and morphological-biochemical traits determined from hyperspectral imagery each significantly correspond to the three primary axes of floristic composition in the study site. Results confirm the complementarity of LiDAR and hyperspectral sensors for modeling the environmental gradients constraining landscape turnover in vascular plant composition and hold promise for predictive mapping applications spanning local land management to global ecosystem modeling.

Measurement of gas-phase temperatures in flames with a point-diffraction interferometer.

Experiments were performed to evaluate the performance of a point-diffraction interferometry (PDI) system to measure gas-phase temperatures in flames. PDI is an interferometric technique that creates the reference beam after the laser beam passes through the test section and directly provides the index of refraction in two dimensions. PDI-based temperature measurements were compared with thermocouple measurements of two-dimensional and axisymmetric thermal boundary layers, as well as two-dimensional and axisymmetric diffusion flames. The PDI system provided excellent agreement in the measurement of thermal profiles in the boundary layers and was within the uncertainties that are due to the radiation corrections for the thermocouple-based flame temperature measurements.

Technical and practical considerations involved in operations on patients weighing more than 270 kg.

Care of the patient with superobesity requires special precautions and appropriate equipment. Recently, we performed bariatric procedures (modified very-long-limb Rouxen-Y gastric bypass) on patients weighing 355 kg and 377 kg. These procedures required preoperative preparation concerning safe means of transport of the patient, techniques of anesthesia and intraoperative exposure, provisions for postoperative recovery, and measures to assure patient comfort and hygiene postoperatively. In addition to specially designed bariatric procedures for the superobese, specialized equipment is needed to protect the health of the patient and the staff. All health care providers and especially acute care centers must have preconceived protocols to treat the superobese patient. In addition, specialized equipment is necessary to allow safe transport and support of these patients.