The multidimensional causal factors of ‘wet litter’ in chicken-meat production

The problem of ‘wet litter’, which occurs primarily in grow-out sheds for meat chickens (broilers), has been recognised for nearly a century. Nevertheless, it is an increasingly important problem in contemporary chicken-meat production as wet litter and associated conditions, especially footpad dermatitis, have developed into tangible welfare issues. This is only compounded by the market demand for chicken paws and compromised bird performance. This review considers the multidimensional causal factors of wet litter. While many causal factors can be listed it is evident that the critical ones could be described as micro-environmental factors and chief amongst them is proper management of drinking systems and adequate shed ventilation. Thus, this review focuses on these environmental factors and pays less attention to issues stemming from health and nutrition. Clearly, there are times when related avian health issues of coccidiosis and necrotic enteritis cannot be overlooked and the development of efficacious vaccines for the latter disease would be advantageous. Presently, the inclusion of phytate-degrading enzymes in meat chicken diets is routine and, therefore, the implication that exogenous phytases may contribute to wet litter is given consideration. Opinion is somewhat divided as how best to counter the problem of wet litter as some see education and extension as being more beneficial than furthering research efforts. However, it may prove instructive to assess the practice of whole grain feeding in relation to litter quality and the incidence of footpad dermatitis. Additional research could investigate the relationships between dietary concentrations of key minerals and the application of exogenous enzymes with litter quality.

Work Stress in the Nursing Profession : An Evaluation of Organizational Causal Attribution

The goal of this study was to examine the role of organizational causal attribution in understanding the relation of work stressors (work-role overload, excessive role responsibility, and unpleasant physical environment) and personal resources (social support and cognitive coping) to such organizational-attitudinal outcomes as work engagement, turnover intention, and organizational identification. In some analyses, cognitive coping was also treated as an organizational outcome. Causal attribution was conceptualized in terms of four dimensions: internality-externality, attributing the cause of one’s successes and failures to oneself, as opposed to external factors, stability (thinking that the cause of one’s successes and failures is stable over time), globality (perceiving the cause to be operative on many areas of one’s life), and controllability (believing that one can control the causes of one’s successes and failures). Several hypotheses were derived from Karasek’s (1989) Job Demands–Control (JD-C) model and from the Job Demands–Resources (JD-R) model (Demerouti, Bakker, Nachreiner & Schaufeli, 2001). Based on the JD-C model, a number of moderation effects were predicted, stating that the strength of the association of work stressors with the outcome variables (e.g. turnover intentions) varies as a function of the causal attribution; for example, unpleasant work environment is more strongly associated with turnover intention among those with an external locus of causality than among those with an internal locuse of causality. From the JD-R model, a number of hypotheses on the mediation model were derived. They were based on two processes posited by the model: an energy-draining process in which work stressors along with a mediating effect of causal attribution for failures deplete the nurses’ energy, leading to turnover intention, and a motivational process in which personal resources along with a mediating effect of causal attribution for successes foster the nurses’ engagement in their work, leading to higher organizational identification and to decreased intention to leave the nursing job. For instance, it was expected that the relationship between work stressors and turnover intention could be explained (mediated) by a tendency to attribute one’s work failures to stable causes. The data were collected from among Finnish hospital nurses using e-questionnaires. Overall 934 nurses responded the questionnaires. Work stressors and personal resources were measured by five scales derived from the Occupational Stress Inventory-Revised (Osipow, 1998). Causal attribution was measured using the Occupational Attributional Style Questionnaire (Furnham, 2004). Work engagement was assessed through the Utrecht Work Engagement Scale (Schaufeli & al., 2002), turnover intention by the Van Veldhoven & Meijman (1994) scale, and organizational identification by the Mael & Ashforth (1992) measure. The results provided support for the function of causal attribution in the overall work stress process. Findings related to the moderation model can be divided into three main findings. First, external locus of causality along with job level moderated the relationship between work overload and cognitive coping. Hence, this interaction was evidenced only among nurses in non-supervisory positions. Second, external locus of causality and job level together moderated the relationship between physical environment and turnover intention. An opposite pattern of interaction was found for this interaction: among nurses, externality exacerbated the effect of perceived unpleasantness of the physical environment on turnover intention, whereas among supervisors internality produced the same effect. Third, job level also disclosed a moderation effect for controllability attribution over the relationship between physical environment and cognitive coping. Findings related to the mediation model for the energetic process indicated that the partial model in which work stressors have also a direct effect on turnover intention fitted the data better. In the mediation model for the motivational process, an intermediate mediation effect in which the effects of personal resources on turnover intention went through two mediators (e.g., causal dimensions and organizational identification) fitted the data better. All dimensions of causal attribution appeared to follow a somewhat unique pattern of mediation effect not only for energetic but also for motivational processes. Overall findings on mediation models partly supported the two simultaneous underlying processes proposed by the JD-R model. While in the energetic process the dimension of externality mediated the relationship between stressors and turnover partially, all the dimensions of causal attribution appeared to entail significant mediator effects in the motivational process. The general findings supported the moderation effect and the mediation effect of causal attribution in the work stress process. The study contributes to several research traditions, including the interaction approach, the JD-C, and the JD-R models. However, many potential functions of organizational causal attribution are yet to be evaluated by relevant academic and organizational research. Keywords: organizational causal attribution, optimistic / pessimistic attributional style, work stressors, organisational stress process, stressors in nursing profession, hospital nursing, JD-R model, personal resources, turnover intention, work engagement, organizational identification.

Distribución y variabilidad de Ralstonia solanacearum e.f. Smith agente causal de marchitez bacteriana en el cultivo de papa (Solanum tuberosum L), en tres departamentos del norte de Nicaragua (Esteli, Matagalpa y Jinotega)

La marchitez bacteriana de la papa causada por Ralstonia solanacearum (E. F. Smith) es una de las principales limitantes en la producción de es te cultivo. R.olanacearum es una especie altamente variable, el estudio de su diversidad poblacional es un importante factor a considerar para su control. Con el objetivo de conocer la distribución y la variabilidad, se realizó un estudio durante el período comprendido de Septiembre de 2006 a Enero de 2007, en diferentes localidades distribuidas en tres departamentos de Nicaragua (Estelí, Matagalpa y Jinotega ), donde se recolectaron 18 muestras de tejidos vegetales (tubérculos y tallos) de papa (Solanum tuberosum L.) y suelo, las que fueron analizadas en laboratorio de Microbiología de la Universidad Nacional Agraria (UNA), para el aislamiento, identificación y multiplicación de la bacteria. Se realizaron siembras en plato petri que contenían medio de cultivo medio agar sacarosa-peptona. Posterior a su aislamiento se realizó purificación en un medio específico (tetrazolium). Las cepas bacterianas se identificaron mediante la determinación de características culturales, morfológicas, fisiológicas y bioquímicas. En el primer caso, se observaron características de borde, elevación, consistencia y color de las cepas individuales cultivadas en el medio agar sacarosa- peptona. Las características morfológicas se comprobaron a través observación en el microscopio óptico. La confirmación de las características fisiológicas y bioquímicas, se realizó a través de pruebas de KOH al 3%, oxidasa, catalasa y revelación de flagelos. Las colonias bacterianas identificadas como Ralstonia solanacearun, se les realizó la prueba de carbohidratos para la caracterización de biovares, basada en la utilización de azúcares y oxidación de alcoholes (Hayward, 1991). Las pruebas de hipersensibilidad se realizaron en plantas de tabaco (Nicotiana tabacumL.). Estas fueron inoculadas mediante la infiltración de la suspensión bacteriana de 24 hrs de crecimiento. Como resultado de la prueba, se identificaron dieciséis aislamientos pertenecientes al biovar 3 y dos aislamientos pertenecientes al biovar 1. Siendo el biovar 3 el más prevaleciente en los sitios de muestro. La raza fue identificada en base a sintomatología presentada, resultando ser la raza 1.

Implementación del Modelo de Red Causal en un texto narrativo en español

Resumen: El Modelo de Red Causal propone que la estructura causal de una historia y su representación en la memoria episódica se asemejan a una red, en la que los acontecimientos resultan de una combinación de antecedentes causales, que a su vez tienen múltiples consecuencias. El estudio de la comprensión de textos según este modelo ha tendido a llevarse a cabo utilizando textos experimentales en inglés. En razón de ello, el objetivo de este trabajo consistió en presentar la aplicación del Modelo de Red Causal a un texto narrativo natural en español, a fin de abogar por su utilidad para examinar los procesos cognitivos involucrados en la comprensión textual.

Control químico de cercospora coffeicola (Berk y cooke) agente causal de la mancha de hierro en viveros de café (Coffea arabica L.)

La presente investigación fue realizada en la estación experimental del café de Masatepe; Nicaragua, durante los meses de Julio a Enero de los años 1975 a 1976. Consistió en la evaluación de doce Fungicidas para controlar Cercospera Coffeicole, agente causal de la “Mancha de Hierro “ en viveros de café. Como fuente de inòculo se utilizó plántulas infestadas por C. coffeicola; alrededor del ensayo. Para evaluar los daños ocasionados por este patógeno así como la fitotoxicidad de los productos sobre las plántulas, se utilizó el índice de infección propuesto por Grangier (24) y se elaboró una escala de fitotoxicidad, efectuándose un análisis de varianza en forma de parcelas divididas para determinar los efectos de los fungicidas y la fecha de mayor incidencia con los índices de o infección obtenidos. Basados en el índice de infección, Vigor de las plántulas y grado de fitotoxicidad los mejores fungicidas fueron: Difectatàn, MK-23, Kocide “101, Dithare M45 y cupravit ob-21 en dosis de 4, 4. 3.5.5 y 5 gramos de material comercial por litro de agua respectivamente. La mayor incidencia de C. Coffeicola se produjo durante el mes de Septiembre, elaborando su cuadro epidemiológico con el conjunto de datos climáticos

Diagrama de secuencias de reducción (dsr): aproximación metodológica para el análisis de núcleos líticos y remontajes

Homenaje a Georges Laplace, realizado en Vitoria-Gasteiz el 13,14 y 15 de noviembre de 2012. Edición a cargo de Aitor Calvo, Aitor Sánchez, Maite García-Rojas y Mónica Alonso-Eguíluz.

Simulación del diagrama de difracción de un cristal polidominio

La estructura microscópica de una gran cantidad de materiales sólidos es cristalina. Es decir, sus moléculas, o grupos de moléculas, están ordenadas de forma regular en un espacio tridimensio- nal que se extiende a lo largo de distancias correspondientes a miles de dimensiones moleculares. Desde el punto de vista académico, los materiales cristalinos (o, simplemente, cristales ) son dis- tribuciones periódicas e infinitas de átomos. Es de esta periodicidad microscópica de la que se vale la Física del Estado Sólido y en particular, la Cristalografía, para simplificar el estudio de los materiales cristalinos. No obstante, ciertos materiales presentan una forma más compleja: están formados por dos o más cristales ( dominios ) de la misma especie que se juntan con una orientación relativa deter- minada. A estos cristales, objeto central del presente estudio, se les da el nombre de twins . Actualmente, los métodos más comunes para el análisis de estructuras cristalinas se basan en fenómenos de difracción causados por la interacción de la materia con un cierto tipo de haz, ya sea de rayos-X, de electrones o de neutrones. El diagrama de difracción revela, al menos en parte, la simetría del cristal y ayuda a clasificarlo debidamente. Por lo general, el diagrama de difracción de un solo cristal no suele ser difícil de interpretar. El problema llega cuando se quieren analizar los mencionados twins. En ese caso, dado que poseen más de un dominio, el diagrama de difracción que se observa es el resultado de la superposición de los diagramas individuales de cada uno de los cristales que conforman la muestra. Incluso conociendo el número de los dominios y su orientación relativa, entender el diagrama puede ser una tarea complicada

Monte Carlo-Based Bayesian group object tracking and causal reasoning

We present algorithms for tracking and reasoning of local traits in the subsystem level based on the observed emergent behavior of multiple coordinated groups in potentially cluttered environments. Our proposed Bayesian inference schemes, which are primarily based on (Markov chain) Monte Carlo sequential methods, include: 1) an evolving network-based multiple object tracking algorithm that is capable of categorizing objects into groups, 2) a multiple cluster tracking algorithm for dealing with prohibitively large number of objects, and 3) a causality inference framework for identifying dominant agents based exclusively on their observed trajectories.We use these as building blocks for developing a unified tracking and behavioral reasoning paradigm. Both synthetic and realistic examples are provided for demonstrating the derived concepts. © 2013 Springer-Verlag Berlin Heidelberg.

Spectral properties of a double-quantum-dot structure: A causal Green's function approach

Spectral properties of a double quantum dot (QD) structure are studied by a causal Green's function (GF) approach. The double QD system is modeled by an Anderson-type Hamiltonian in which both the intra- and interdot Coulomb interactions are taken into account. The GF's are derived by an equation-of-motion method and the real-space renormalization-group technique. The numerical results show that the average occupation number of electrons in the QD exhibits staircase features and the local density of states depends appreciably on the electron occupation of the dot.