The Hitchcok boy: treating aggressive acting out in child therapy

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La influencia de la inteligencia emocional en el comportamiento agresivo [ the influence of emotional intelligence on aggressive behavior]

El propósito general de esta tesis doctoral fue el de ampliar el conocimiento acerca del papel que la Inteligencia Emocional (IE) desempeña en la explicación de las conductas agresivas. Para ello, se plantearon 4 estudios, cuyos resultados, de forma general, han arrojado evidencias de la existencia de una relación negativa entre IE y agresión, es decir, las personas que presentan dificultades para percibir, usar, comprender y regular sus emociones y la de los demás, muestran una mayor incidencia en el uso de comportamientos agresivos que aquellas personas con mayores niveles de IE. En el primer estudio, el objetivo fue revisar de forma sistemática la literatura que se ha centrado en analizar las relaciones entre IE y agresión. De esta revisión se obtuvo como resultado 19 trabajos empíricos que mostraban la existencia de una asociación negativa entre la IE y la realización de conductas agresiva consistente en muestras de diferentes edades y contextos culturales y parece independiente del tipo de agresión estudiada. Teniendo en cuenta la literatura revisada en el primer trabajo, el objetivo del segundo estudio fue ampliar esta línea de investigación centrándonos en la relación de la agresión y la IE como habilidad. Para ello se realizaron dos subestudios. En el primer subestudio exploramos la relación entre IEH y agresión en adultos a nivel transversal y analizamos la validez incremental de la IEH sobre los factores de personalidad en la explicación de conductas agresivas de tipo físico y verbal. En el segundo trabajo, nuestros objetivos fueron corroborar los resultados encontrados en el subestudio 1 en una muestra de población adolescente y analizar la relación temporal entre ambas variables en un estudio longitudinal. Los resultados obtenidos en ambos subestudios muestran de forma consistente una clara relación entre la IEH y la agresión física, y una asociación más débil en el caso de la agresión verbal. La finalidad del tercer estudio fue la adaptación al español de una medida de agresión y de variables emocionales asociadas a la conducta agresiva, con el fin de que el uso de esta escala posibilite el avance en este campo de estudio. Por último, el propósito del cuarto estudio fue profundizar en el conocimiento sobre la relación entre IEH y agresión. Para ello, en primer lugar, se apotaron datos preliminares acerca de la asociación entre variables que no han sido estudiadas hasta la fecha, como la relación entre IEH y agresión indirecta, y entre IEH y rumiación de la ira. En segundo lugar, se ha examinando el mecanismo a través del cual las habilidades emocionales ejercen su papel sobre las conductas agresivas, analizando el papel mediador de la rumiación de la ira en esta relación. En conjunto, los cuatro trabajos presentados añaden evidencias sobre la existencia de una relación negativa entre IEH y agresión.

Quantifying aggressive behavior in zebrafish

Aggression is a complex behavior that influences social relationships and can be seen as adaptive or maladaptive depending on the context and intensity of expression. A model organism suitable for genetic dissection of the underlying neural mechanisms of aggressive behavior is still needed. Zebrafish has already proven to be a powerful vertebrate model organism for the study of normal and pathological brain function. Despite the fact that zebrafish is a gregarious species that forms shoals, when allowed to interact in pairs, both males and females express aggressive behavior and establish dominance hierarchies. Here, we describe two protocols that can be used to quantify aggressive behavior in zebrafish, using two different paradigms: (1) staged fights between real opponents and (2) mirror-elicited fights. We also discuss the methodology for the behavior analysis, the expected results for both paradigms, and the advantages and disadvantages of each paradigm in face of the specific goals of the study.

Allelopathy: driving mechanisms governing its activity in agriculture.

Allelopathy determines the dynamics of plant species in different environments. Understanding this biological phenomenon could help to develop applications in both natural and agricultural systems. This review summarizes the genetic and environmental characteristics that control the production and release of allelochemicals in agroecosystems. This study highlights the current understanding of the environmental changes caused by allelochemicals and summarizes the knowledge about the mechanisms of action of these compounds. Finally, it reviews novel applications of allelopathy in agricultural production systems, including the role of allelochemicals in consortia and their potential use in no-tillage cropping systems through cover crops or mulches.

The effect of increased light intensity on the aggressive behavior of the Nile tilapia, Oreochromis niloticus (Teleostei: Cichlidae)

Animals show behavioral and physiological changes that emerge in response to environmental perturbations (i.e., emergency life-history stages). In this study, we investigate the effects of light intensity on aggressive encounters and social stability in groups of adult male Nile tilapia, Oreochromis niloticus (Linnaeus, 1758). The study compared the behavior observed under low (280.75 ± 50.60 lx) and high (1394.14 ± 520.32 lx) light intensities, with 12 replicates for each treatment. Adult fish were isolated in 36-L aquaria for 96 hours, and three males were grouped for 11 days in 140-L aquaria. Agonistic behavior was video-recorded (10 min/day) on the 3rd, 5th, 7th, and 9th day to quantify aggressive interactions and social stability. There was an effect of light intensity and day of observation on the total number of agonistic behaviors performed by the fish group. Besides, increased frequency of aggressive interactions (the sum of the four sessions) by the alpha, beta and gamma fish occurred at the higher light intensity. The dominance ranks of the fish remained unchanged across the observation sessions under both the low and high light intensities. We concluded that enhanced light intensity has a cumulative effect that increases the aggressiveness of the Nile tilapia but that this effect is not sufficiently strong to destabilize the social hierarchy.

Inequity in health: older rural driving and dementia

Introduction The number of drivers with dementia is expected to increase exponentially over the coming decades. Most individuals with moderate-to-severe dementia (table 1) are unfit to drive.1 Drivers with moderate-to-severe dementia have higher rates of MVCs than age-matched controls.2 Identifying and preventing these individuals from driving is crucial, particularly in urban areas. The density of cars and pedestrians, and the complexity of traffic typically place greater demands on drivers in urban areas, and, therefore, require greater reactivity and forward planning than in rural environments.3 ,4 The ability to drive is a critical means of maintaining one's social inclusion, and is commonly a practical necessity. Therefore, decisions about the entitlement to drive should not unfairly restrict mobility or unnecessarily compound the disadvantages experienced by older people with mild cognitive impairment and early dementia (table 1), particularly as diagnoses are now being made earlier.1 This paper describes the difficulties inherent in addressing the question of when and in what circumstances a diagnosis of dementia might render a person unfit to drive and focuses on those who live in rural areas. We examine the consequences of dementia diagnosis on driving, driver testing requirements and licensing procedures, and the impacts of driving cessation. We then discuss how living in rural areas may alter the level of risk of drivers with dementia and practical implications for licensing policies.

Self-regulatory driving behaviours amongst older drivers according to cognitive status

Self-regulation of older drivers was explored according to their cognitive status in this pilot study by examining situations commonly avoided by older drivers. In addition, the role of driver insight on self-regulation was examined via passenger reports. Telephone interviews were conducted comprising 49 drivers aged 65 years and above and 40 passengers who acted as informants. Self-regulation was found to be common, with the majority of drivers (71.4%) reporting sometimes or always avoiding one of seven driving situations. However, drivers with cognitive impairment reported self-regulating more often than drivers without cognitive impairment. The largest discrepancy between passenger and driver reports of self-regulation behaviours was found for the drivers with cognitive impairment. These results possibly reflect a decreased awareness of self-regulatory driving behaviours in this subgroup of older drivers and may suggest that other external factors are contributing to self-regulation in older drivers with cognitive impairment. A discussion of these factors is provided with the aim of maintaining mobility and enhancing quality of life in this growing segment of the driver population.

Imidazolinium inhibitor for mild steel in aggressive conditions

An organic salt comprising of an imidazolinium cation and a 4-hydroxy cinnamate anion has been shown to be a viable inhibitor for reducing the corrosion of steel in 0.01M NaCl aqueous solutions under acidic, neutral and basic conditions. The efficiency is particularly high at pH 8 (86%). Of most significance is that the individual components of this compound do not inhibit as effectively at equivalent concentrations, particularly at a pH of 2, suggesting there is a true synergy resulting from the combination of anion and cation. The immersion studies show the efficacy of these inhibitors to stifle corrosion as observed from optical, SEM and profilometry experiments. The mechanism of inhibition appears to be dominated by anodic behavior and further surface characterization work will investigate the origin of this inhibition and the synergy observed.

Predicting driving direction with weighted markov model

Driving direction prediction can be useful in different applications such as driver warning and route recommendation. In this paper, a framework is proposed to predict the driving direction based on weighted Markov model. First the city POI (Point of Interesting) map is generated from trajectory data using weighted PageRank algorithm. Then, a weighted Markov model is trained for the near term driving direction prediction based on the POI map and historical trajectories. The experimental results on real-world data set indicate that the proposed method can improve the original Markov prediction model by 10% at some circumstances and 5% overall.

Exploring factors driving social recruiting: the case of Australian organisations

This study identifies key factors driving the organizational adoption of Social Recruiting (SR) technologies, such as LinkedIn, Facebook, and Twitter. The Technology, Organization and Environment (TOE) framework, as an initial exploratory approach, is used to identify underlying factors of new technology adoption. Qualitative evidence collected from twelve Australian firms serves to specifically categorise key determinants of the organizational adoption of social recruiting technologies. It is found that, apart from several technology, organization and environment factors that significantly influence the organizational decision-making with reference to social recruiting, top management support is seen as imperative for successful adoption of recruiting technologies. Formalisation, comprehensiveness, and strategic orientation of organizational human resource departments are closely linked to adoption of social recruiting at the firm level. In addition, job applicants’ readiness and local success stories have driven firms to adopt social recruiting technologies. The study extends and modifies the TOE model to provide the theoretical foundations of social recruiting in the context of Australian organizations and help human resource professionals and practitioners to gain a better understanding of key drivers of organizational social recruiting.

Prevalence and correlates of drink driving within patrons of Australian night-time entertainment precincts

BACKGROUND: Drink driving is a significant public health concern, and contributes to many road fatalities worldwide. The current study is the first to examine the prevalence and correlates of drink driving behavior in a sample of night-time entertainment precinct attendees in Australia. METHODS: Interviews were conducted with 4214 night-time entertainment precinct attendees in two metropolitan and three regional cities in Australia. Seven correlates of self-reported drink driving were examined: gender, age, occupation, blood alcohol concentration (BAC), alcohol consumed prior to attending a licensed venue, energy drink consumption, and other drug consumption. RESULTS: Fourteen percent of night-time entertainment precinct attendees reported drink driving in the past three months. Bivariate logistic regression models indicated that males were significantly more likely than females to report drink driving in the past three months. Blue-collar workers and sales/clerical/administrative workers were significantly more likely to report drink driving behavior in the past three months than white-collar workers. The likelihood of reporting drink driving during the three months prior to interview significantly increased as BAC on the current night out increased, and when patrons reported engaging in pre-drinking or other drug use. The multivariate model presented a similar pattern of results, however BAC and pre-drinking on the night of the interview were no longer independent significant predictors. CONCLUSIONS: Males, blue collar/sales/clerical/administrative workers, and illicit drug consumers were more likely to report engaging in drink driving behavior than their counterparts. Interventions should focus on addressing the considerable proportion night-time entertainment precinct attendees who report engaging in drink driving behavior.

Development of an innovative non rule-based energy management strategy for a Hybrid Electric Vehicle, structured for predictive driving controls based on external information knowledge

Recently, the interest of the automotive market for hybrid vehicles has increased due to the more restrictive pollutants emissions legislation and to the necessity of decreasing the fossil fuel consumption, since such solution allows a consistent improvement of the vehicle global efficiency. The term hybridization regards the energy flow in the powertrain of a vehicle: a standard vehicle has, usually, only one energy source and one energy tank; instead, a hybrid vehicle has at least two energy sources. In most cases, the prime mover is an internal combustion engine (ICE) while the auxiliary energy source can be mechanical, electrical, pneumatic or hydraulic. It is expected from the control unit of a hybrid vehicle the use of the ICE in high efficiency working zones and to shut it down when it is more convenient, while using the EMG at partial loads and as a fast torque response during transients. However, the battery state of charge may represent a limitation for such a strategy. That’s the reason why, in most cases, energy management strategies are based on the State Of Charge, or SOC, control. Several studies have been conducted on this topic and many different approaches have been illustrated. The purpose of this dissertation is to develop an online (usable on-board) control strategy in which the operating modes are defined using an instantaneous optimization method that minimizes the equivalent fuel consumption of a hybrid electric vehicle. The equivalent fuel consumption is calculated by taking into account the total energy used by the hybrid powertrain during the propulsion phases. The first section presents the hybrid vehicles characteristics. The second chapter describes the global model, with a particular focus on the energy management strategies usable for the supervisory control of such a powertrain. The third chapter shows the performance of the implemented controller on a NEDC cycle compared with the one obtained with the original control strategy.