Planetary optical and infrared imaging

The purpose is to obtain and analyze high spatial resolution CCD coronagraphic images of extra-solar planetary material and solar system objects. These data will provide information on the distribution of planetary and proto-planetary material around nearby stars leading to a better understanding of the origin and evolution of the solar system

Start to change the Start - The Target systemic Model

Strategic Design is 'designed' 'to produce' Product Service Systems. Students from 15 countries and speaking 14 different languages were attending a Master in Strategic Design which was opened for training professionals in the integration of product, service and communication components

Library Services to Children, Teens and Families Experiencing Homelessness

Families with children are one of the fastest growing homeless populations in the United States, but are often left out of public library discussions of services to the homeless. This article will explore the demographics and educational issues surrounding children and teens who are experiencing homelessness in order to make the case that library services specifically for them are necessary. It will also look at the role library programs and services for their parents can play in improving literacy skills within the family unit. In addition, the article will examine model library services to children, teens and families experiencing homeless gathered from librarians engaged in this work throughout the US

Evolutionary Computational Methods for Identifying Emergent Behavior in Autonomous Systems

A technique based on Evolutionary Computational Methods (ECMs) was developed that allows for the automated optimization of complex computationally modeled systems, such as autonomous systems. The primary technology, which enables the ECM to find optimal solutions in complex search spaces, derives from evolutionary algorithms such as the genetic algorithm and differential evolution. These methods are based on biological processes, particularly genetics, and define an iterative process that evolves parameter sets into an optimum. Evolutionary computation is a method that operates on a population of existing computational-based engineering models (or simulators) and competes them using biologically inspired genetic operators on large parallel cluster computers. The result is the ability to automatically find design optimizations and trades, and thereby greatly amplify the role of the system engineer

«La perfida bestia, si capisce, è la coscienza, colla sua brigata». Tommaso Landolfi nelle regioni dell’indicibile

Il saggio si propone di esaminare la poetica landolfiana alla confluenza tra l’antropologia di Lévy-Bruhl, di cui accoglie la “mentalità primitiva”, la compartecipazione delle essenze e il “prelogico”, e l’organizzazione dei processi psichici inconsci descritti da Freud. Attraverso l’idea della “mentalità primitiva”, Landolfi, solitamente reticente nei confronti della ‘talking cure’, sembra riaccostarsi alla psicoanalisi, compresa come pratica della regressione che presuppone l’abbandono della posizione di soggetto cosciente per ritornare verso gli elementi primitivi che forniscono alla psiche la sua struttura. In particolare, è nella sua scelta di materializzare l’indicibile che Landolfi si colloca alla confluenza tra l’approccio animistico-antropologico e quello psicanalitico: alla luce dell’interdipendenza tra realtà fisica e realtà spirituale e dell’allontanamento dell’uomo dall’animalità di cui partecipa, qualunque determinazione ‘altra’, estranea a chi la scopre (l’indicibile, le pulsioni, le fobie, le ossessioni, le angosce, ecc.) diventa, nell’opera landolfiana, una realtà tangibile che prende il nome e la forma di una “bestia”.

The Urban Agriculture Programme of the Municipality of Rosario, Argentina

El Programa de Agricultura Urbana de Rosario (en adelante PAU) surge como política municipal en respuesta a la crisis argentina de 2001. Desde entonces ha vivido distintas etapas de desarrollo, hasta su consolidación como política pública de desarrollo municipal y su inserción en el plan de ordenamiento territorial. En este proceso, el PAU ha creado nuevos espacios públicos socio-productivos para la ciudad como Parques Huertas, corredores verdes de las vías y Huertas jardines saludables. A continuación se explican las etapas vividas por el PAU desde su creación hasta la actualidad, así como las actuales línea de trabajo

Five-micron pictures of Jupiter

More than 440 five-micron "video" pictures of Jupiter with 1" resolution were made during 1973 September, October, and December. Comparisons of these pictures with color photographs show direct, detailed correlations with the darker "purple" features. Forty-four of these pictures were made just before Pioneer 10 encounter

Spike fertility and duration of stem elongation as promising traits to improve potential grain number (and yield): Variation in modern Argentinean wheats

The identification of physiological traits that determine grain number (and yield) in modern cultivars, and the possible tradeoffs among them, may help to detect promising traits for breeding to increase yield potential. High-yielding Argentinean wheat (Triticum aestivum L.) cultivars were grown under irrigated and highinput conditions during two seasons to study (i) yield and grain number m-2 (GN) as a result of stover biomass at harvest (SH) and harvest index (HI); and (ii) spike dry weight at anthesis (SDWa; g m-2) and spike fertility index (SFI; grain number per gram of spike chaffor non-grain spike biomass). Duration of the stem elongation phase (SEP; first node detectable to anthesis) was analyzed as an alternative to increase SDWa. The HI was highly associated with yield differences between cultivars for both years, independently of stem height. In contrast, SH did not vary among cultivars in either season (P > 0.05). The GN determined yield differences between cultivars and was highly associated with SFIand SDWa for both years and cycles. Some cultivars with the same anthesis date showed stable variation for duration of the SEP between years (despite the year × cultivar interaction observed). As the SFIand duration of the SEP were not related, it seems promising to increase GN in a cultivar with high SFIthrough an increased duration of the SEP (which may yield higher SWDa) or vice versa.Fil: González, Fernanda Gabriela. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Terrile, Ignacio Ismael. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Falcón, M. O.. Universidad de Buenos Aires. Facultad de Agronomía; Argentin

Functions of S-nitrosylation in plant hormone networks

In plants, a wide frame of physiological processes are regulated in liaison by both, nitric oxide (NO) and hormones. Such overlapping roles raise the question of how the cross-talk between NO and hormones trigger common physiological responses. In general, NO has been largely accepted as a signaling molecule that works in different processes. Among the most relevant ways NO and the NO-derived reactive species can accomplish their biological functions it is worthy to mention post-translational protein modifications. In the last years, S-nitrosylation has been the most studied NO-dependent regulatory mechanism. Briefly, S-nitrosylation is a redox-based mechanism for cysteine residue modification and is being recognized as a ubiquitous regulatory reaction comparable to phosphorylation. Therefore, it is emerging as a crucial mechanism for the transduction of NO bioactivity in plants and animals. In this mini-review, we provide an overview on S-nitrosylation of target proteins related to hormone networks in plants.Fil: Paris, Ramiro. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Biológicas; ArgentinaFil: Iglesias, María José. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Biológicas; ArgentinaFil: Terrile, Maria Cecilia. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Biológicas; ArgentinaFil: Casalongue, Claudia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Biológicas; Argentin

Genetic Algorithm Optimizes Q-LAW Control Parameters

A document discusses a multi-objective, genetic algorithm designed to optimize Lyapunov feedback control law (Q-law) parameters in order to efficiently find Pareto-optimal solutions for low-thrust trajectories for electronic propulsion systems. These would be propellant-optimal solutions for a given flight time, or flight time optimal solutions for a given propellant requirement. The approximate solutions are used as good initial solutions for high-fidelity optimization tools. When the good initial solutions are used, the high-fidelity optimization tools quickly converge to a locally optimal solution near the initial solution. Q-law control parameters are represented as real-valued genes in the genetic algorithm. The performances of the Q-law control parameters are evaluated in the multi-objective space (flight time vs. propellant mass) and sorted by the non-dominated sorting method that assigns a better fitness value to the solutions that are dominated by a fewer number of other solutions. With the ranking result, the genetic algorithm encourages the solutions with higher fitness values to participate in the reproduction process, improving the solutions in the evolution process. The population of solutions converges to the Pareto front that is permitted within the Q-law control parameter space