Deterministic control of structural and optical properties of plasma-grown vertical graphene nanosheet networks via nitrogen gas variation

The effect of nitrogen on the growth of vertically oriented graphene nanosheets on catalyst-free silicon and glass substrates in a plasma-assisted process is studied. Different concentrations of nitrogen were found to act as versatile control knobs that could be used to tailor the length, number density and structural properties of the nanosheets. Nanosheets with different structural characteristics exhibit markedly different optical properties. The nanosheet samples were treated with a bovine serum albumin protein solution to investigate the effects of this variation on the optical properties for biosensing through confocal micro-Raman spectroscopy and UV-Vis spectrophotometry. © 2012 Optical Society of America.

English as a second language. Coursebook 1 : IGCSE.

Recurso para estudiantes del International General Certificate of Secondary Education (IGCSE) inglés como segundo idioma. Tiene como objetivo ayudar a mejorar las respuestas de examen y la calificación global. Las explicaciones y ejemplos hacen que también sea muy útil para alumnos que se preparan para otros exámenes avanzados. Cubre todos los aspectos de la prueba y está estructurado en dieciocho unidades agrupadas en dos en partes temáticas: el mundo que nos rodea; la actividad humana, para practicar lectura, escritura y escucha. Tiene un apéndice con transcripciones del CD audio.

Geografía lunar : el regolito lunar, el cráter de impacto, el metamorfismo de impacto y la geoquímica lunar.

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The CND-Goiaba 1.0 software for nutritional diagnosis of guava (Psidium guajava L.) 'Paluma', in Brazil

Computer programs enable the transformation of raw data into useful information for decision making in many fields, including agriculture. Various programs have been developed to assist farmers to make better decisions about crop management practices and plant nutrition parameters. This article introduces the CND-Goiaba 1.0 software (C Sharp) and its use as a tool to perform the mathematical calculations involved in determining the compositional nutrient diagnosis (CND) indexes for the guava tree. This program was developed in Brazil, the world's leading producer of red guavas. A database was created based on 205 leaf samples collected in commercial plots (sampling units) of cultivated 'Paluma' guava trees (Psidium guajava L.) with ages between 5 and 20 years, during the 2009-2010 and 2010-2011 growing seasons. The production data were normally distributed according to the Shapiro-Wilk test (W=0.988; p=0.11). The software made it possible to diagnose that 63% of the orchards evaluated needed to improve the nutritional status of their trees. The CND method showed severe nutritional imbalances in Mg and Zn in these orchards. © ISHS.