Elastin stabilization of connective tissue

A method and product are provided for the treatment of connective tissue weakened due to destruction of tissue architecture, and in particular due to elastin degradation. The treatment agents employ certain unique properties of phenolic compounds to develop a protocol for reducing elastin degradation, such as that occurring during aneurysm formation in vasculature. According to the invention, elastin can be stabilized in vivo and destruction of connective tissue, such as that leading to life-threatening aneurysms in vasculature, can be tempered or halted all together. The treatment agents can be delivered or administered acutely or chronically according to various delivery methods, including sustained release methods incorporating perivascular or endovascular patches, use of microsphere carriers, hydrogels, or osmotic pumps

Elastin stabilization of connective tissue

A method and product are provided for the treatment of connective tissue weakened due to destruction of tissue architecture, and in particular due to elastin degradation. The treatment agents employ certain unique properties of phenolic compounds to develop a protocol for reducing elastin degradation, such as that occurring during aneurysm formation in vasculature. According to the invention, elastin can be stabilized in vivo and destruction of connective tissue, such as that leading to life-threatening aneurysms in vasculature, can be tempered or halted all together. The treatment agents can be delivered or administered acutely or chronically according to various delivery methods, including sustained release methods incorporating perivascular or endovascular patches, use of microsphere carriers, hydrogels, or osmotic pumps

Elastin stabilization of connective tissue

A method and product are provided for the treatment of connective tissue weakened due to destruction of tissue architecture, and in particular due to elastin degradation. The treatment agents employ certain unique properties of phenolic compounds to develop a protocol for reducing elastin degradation, such as that occurring during aneurysm formation in vasculature. According to the invention, elastin can be stabilized in vivo and destruction of connective tissue, such as that leading to life-threatening aneurysms in vasculature, can be tempered or halted all together. The treatment agents can be delivered or administered acutely or chronically according to various delivery methods, including sustained release methods incorporating perivascular or endovascular patches, use of microsphere carriers, hydrogels, or osmotic pumps

Elastin Stabilization of Connective Tissue

A method and product are provided for the treatment of connective tissue weakened due to destruction of tissue architecture, and in particular due to elastin degradation. The treatment agents employ certain unique properties of phenolic compounds to develop a protocol for reducing elastin degradation, such as that occurring during aneurysm formation in vasculature. According to the invention, elastin can be stabilized in vivo and destruction of connective tissue, such as that leading to life-threatening aneurysms in vasculature, can be tempered or halted all together. The treatment agents can be delivered or administered acutely or chronically according to various delivery methods, including sustained release methods incorporating perivascular or endovascular patches, use of microsphere carriers, hydrogels, or osmotic pumps

Functional Network Reconfiguration Supporting Memory-Guided Attention

Studies have identified several brain regions whose activations facilitate attentional deployment via long-term memories. We analyzed task-based functional connectivity at the network and node-specific level to characterize large-scale communication between brain regions underlying long-term memory guided attention. We predicted default mode, cognitive control, and dorsal attention subnetworks would contribute differentially to long-term memory guided attention, such that network-level connectivity would shift based on attentional demands, requiring contribution of memory-specific nodes within default mode and cognitive control subnetworks. We expected that these nodes would increase connectivity with one another and with dorsal attention subnetworks during long-term memory guided attention. Additionally, we hypothesized connectivity between cognitive control and dorsal attention subnetworks facilitating external attentional demands. Our results identified both network-based and node-specific interactions that facilitate different components of LTM-guided attention, suggesting a crucial role across the posterior precuneus and restrosplenial cortex, acting independently from the divisions of default mode and cognitive control subnetworks. We found a gradient of precuneus connectivity, with dorsal precuneus connecting to cognitive control and dorsal attention regions, and ventral precuneus connecting across all subnetworks. Additionally, retrosplenial cortex showed increased connectivity across subnetworks. We suggest that connectivity from dorsal posterior midline regions is critical for the integration of external information with internal memory that facilitates long-term memory guided attention

Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR

Logging, including selective and illegal activities, is widespread, affecting the carbon cycle and the biodiversity of tropical forests. However, automated approaches using very high resolution (VHR) satellite data (≤1 m spatial resolution) to accurately track these small-scale human disturbances over large and remote areas are not readily available. The main constraint for performing this type of analysis is the lack of spatially accurate tree-scale validation data. In this study, we assessed the potential of VHR satellite imagery to detect canopy tree loss related to selective logging in closed-canopy tropical forests. To do this, we compared the tree loss detection capability of WorldView-2 and GeoEye-1 satellites with airborne LiDAR, which acquired pre- and post-logging data at the Jamari National Forest in the Brazilian Amazon. We found that logging drove changes in canopy height ranging from −5.6 to −42.2 m, with a mean reduction of −23.5 m. A simple LiDAR height difference threshold of −10 m was enough to map 97% of the logged trees. Compared to LiDAR, tree losses can be detected using VHR satellite imagery and a random forest (RF) model with an average precision of 64%, while mapping 60% of the total tree loss. Tree losses associated with large gap openings or tall trees were more successfully detected. In general, the most important remote sensing metrics for the RF model were standard deviation statistics, especially those extracted from the reflectance of the visible bands (R, G, B), and the shadow fraction. While most small canopy gaps closed within ~2 years, larger gaps could still be observed over a longer time. Nevertheless, the use of annual imagery is advised to reach acceptable detectability. Our study shows that VHR satellite imagery has the potential for monitoring the logging in tropical forests and detecting hotspots of natural disturbance with a low cost at the regional scale

The impact of land use/land cover scale on modelling urban ecosystem services

Context Urbanisation places increasing stress on ecosystem services; however existing methods and data for testing relationships between service delivery and urban landscapes remain imprecise and uncertain. Unknown impacts of scale are among several factors that complicate research. This study models ecosystem services in the urban area comprising the towns of Milton Keynes, Bedford and Luton which together represent a wide range of the urban forms present in the UK. Objectives The objectives of this study were to test (1) the sensitivity of ecosystem service model outputs to the spatial resolution of input data, and (2) whether any resultant scale dependency is constant across different ecosystem services and model approaches (e.g. stock- versus flow-based). Methods Carbon storage, sediment erosion, and pollination were modelled with the InVEST framework using input data representative of common coarse (25 m) and fine (5 m) spatial resolutions. Results Fine scale analysis generated higher estimates of total carbon storage (9.32 vs. 7.17 kg m−2) and much lower potential sediment erosion estimates (6.4 vs. 18.1 Mg km−2 year−1) than analyses conducted at coarser resolutions; however coarse-scale analysis estimated more abundant pollination service provision. Conclusions Scale sensitivities depend on the type of service being modelled; stock estimates (e.g. carbon storage) are most sensitive to aggregation across scales, dynamic flow models (e.g. sediment erosion) are most sensitive to spatial resolution, and ecological process models involving both stocks and dynamics (e.g. pollination) are sensitive to both. Care must be taken to select model data appropriate to the scale of inquiry