Determinación de proteína bruta de algunas especies forrajeras de La Pampa

This work took place in three different grasslands in the Province of La Pampa. The first, located in LAS MERCEDES farm, departament of TOAY, with predominane of Digitaria californica. This warm season species reached 14,4% of crude protein (CP) at the beginning of growing season. LA BAYA VIEJA farm was the second place under study, with predominance of winter season species such as Poa ligularis, Piptochaetium napostaense on which 8,5% and 12,4% of CP were obtained respectively in the grow out after cutting. The third place was LOS GUADALES farm, depatament of CALEU CALEU with predominance, of Pappophorum caespitosum during summer and Medicago minima and Erodium cicutarium in winter, wich resulted 9,8%, 24,8% and 23,8% of CP respectively at the beginning of growing season.Este trabajo se realizó en tres pastizales diferentes de la provincia de La Pampa. El primero ubicado en la Ea. La Mercedes, Depto. Toay, presenta dominancia de Digitaria californica, especie de verano en la que se obtuvo 14,4% de PB. al comienzo de su período productivo. El segundo pastizal estudiado está ubicado en la Ea. La Baya Vieja, Depto. Toay, con predominio de especies invernales como Poa ligularis y Piptochaetium napostaense, en la que se obtuvieron valores de 8,5% y 12,4% de PB. respectivamente al inciarse el rebrote. El tercer pastizal estudiado está ubicado en la Ea. Los Guadales, Depto. Caleu-Caleu, con predominio de Pappophorum caespitosum en verano y con Medicago minima y Erodium cicutarium en invierno, especies en las que se obtuvieron los valores 9,8%, 24,8 y 23,8% de PB. respectivamente al iniciarse la brotación

Theory of adsorbate induced surface reconstruction on W(100)

We report results of a theoretical study on an adsorbate induced surface reconstruction. Hydrogen adsorption on a W(100) surface causes a switching transition in the symmetry of the displacements of the W atoms within the ordered c(2x2) phase. This transition is modeled by an effective Hamiltonian, where the hydrogen degrees of freedom are integrated out. Based on extensive Monte Carlo renormalisation group calculations we show that the switching transition is of second order at high temperatures and of first order at low temperatures. This behavior is qualitatively explained in terms of an XY model where there is an interplay between four and eight fold anisotropy fields. We also compare the calculated phase diagrams with a simple mean field theory.Comment: CSC Preprint, 31 pages (plain TeX file, no figures

Home use of a bihormonal bionic pancreas versus insulin pump therapy in adults with type 1 diabetes: a multicentre randomised crossover trial

The safety and effectiveness of a continuous, day-and-night automated glycaemic control system using insulin and glucagon has not been shown in a free-living, home-use setting. We aimed to assess whether bihormonal bionic pancreas initialised only with body mass can safely reduce mean glycaemia and hypoglycaemia in adults with type 1 diabetes who were living at home and participating in their normal daily routines without restrictions on diet or physical activity

Evidence-based Kernels: Fundamental Units of Behavioral Influence

This paper describes evidence-based kernels, fundamental units of behavioral influence that appear to underlie effective prevention and treatment for children, adults, and families. A kernel is a behavior–influence procedure shown through experimental analysis to affect a specific behavior and that is indivisible in the sense that removing any of its components would render it inert. Existing evidence shows that a variety of kernels can influence behavior in context, and some evidence suggests that frequent use or sufficient use of some kernels may produce longer lasting behavioral shifts. The analysis of kernels could contribute to an empirically based theory of behavioral influence, augment existing prevention or treatment efforts, facilitate the dissemination of effective prevention and treatment practices, clarify the active ingredients in existing interventions, and contribute to efficiently developing interventions that are more effective. Kernels involve one or more of the following mechanisms of behavior influence: reinforcement, altering antecedents, changing verbal relational responding, or changing physiological states directly. The paper describes 52 of these kernels, and details practical, theoretical, and research implications, including calling for a national database of kernels that influence human behavior