Purpura Henoch Schonlein pada Perempuan Dewasa

Vaskulitis IgA/Purpura Henoch Schonlein adalah peradangan sistemik pembuluh darah kecil; umumnya menyerang anak-anak usia 2-5 tahun; ditandai dengan bercak merah pada kulit disertai gejala sendi, gastrointestinal dan ginjal. Dilaporkan kasus wanita dewasa dengan Purpura Henoch Schonlein.Vaskulitis IgA / Henoch Schonlein Purpura is a systemic inflammatory disease of small blood vessels characterized by the appearance of reddish patches on the feet. This disease generally affects children aged 2 - 5 years, characterized by skin red spots accompanied by symptoms in the joints, gastrointestinal and kidney disorders. This is a case of adult woman with Henoch Schonlein Purpura

A Synergistic Absorption and Plasmonic Effect of Sio2@au@tio2 in Tio2 Photoanode for Dye-sensitized Solar Cells

A SYNERGISTIC ABSORPTION AND PLASMONIC EFFECT OF SiO2@Au@TiO2 IN A TiO2 PHOTOANODE FOR DYE-SENSITIZED SOLAR CELLS. A method for increasing the visible-light harvesting of a TiO2 anatase photoanode in dye-sensitized solar cells by incorporating plasmonic nanostructures was developed. Sidoarjo mud as the SiO2 source was used to successfully synthesized core/multishell SiO2@Au@TiO2, with varying amounts of Au (60, 90, and 120 mL). In addition, the core/multishell fractions in TiO2 paste were varied, i.e., 0.5%, 1%, and 5%. The UV–Vis spectrum shows that a more ripple spectrum at higher wavelengths is obtained with increasing Au content, as suggested by the presence of large Au nanoparticles; however, a similar value of efficiency is observed for all sample variations studied compared to a pure TiO2 photoanode. The incident photon-to-current efficiency reveals that all photoanodes containing the core/multishell SiO2@Au@TiO2 studied show somewhat broader and enhanced spectra for all studied wavelengths compared to the pure TiO2 photoanode, resulting from the synergistic effect between plasmonic nanostructures and the presence of silica that boost the absorption to higher wavelengths

Learning Knowledge about Rattan (Calamoideae arecaceae) and Its Uses Amongst Ngaju Dayak in Indonesian Borneo

German National Science Foundation and the World Agroforestry Centre

Pan-tropical prediction of forest structure from the largest trees

Aim Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan-tropical model to predict plot-level forest structure properties and biomass from only the largest trees. Location Time period Pan-tropical. Early 21st century. Major taxa studied Methods Woody plants. Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey's height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results Main conclusions Measuring the largest trees in tropical forests enables unbiased predictions of plot- and site-level forest structure. The 20 largest trees per hectare predicted quadratic mean diameter, basal area, Lorey's height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium-sized trees (50-70 cm diameter at breast height), which shows some continental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate-diameter classes relative to other continents. Our approach provides new information on tropical forest structure and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific understanding of tropical forest ecosystems and response to climate change