Dopamine-sensitive alternation and collateral behaviour in a Y-maze: effects of d-amphetamine and haloperidol

Introduction: The frequency of spontaneous alternation in a Y-maze (visiting each arm in turn at p>50%) depends on the influence of the attention given to intra- and extra-maze cues. We examined the observing responses shown by rats (collateral rearing and head-turning behaviour), the habituation to the novelty and alternation responses over 15 minutes/day, four days in a row - in a Y-maze under enhanced and reduced dopamine (DA) activity (amphetamine- and haloperidol treatment). Methods: Prior to placement in a Y-maze for 15 minutes observation on 4 successive days animals were treated with either amphetamine (0.5 or 2.5 mg/kg) or pre-treated with a low dose of haloperidol (0.08 mg/kg, ip). Results: 1/ Amphetamine treated animals chose the arms at random on day 1, but after the higher dose on day 2-4 they perseverated their choice. The controls maintained their alternation over this period. 2/ The amphetamine-induced effects on alternation were prevented by prior treatment with the neuroleptic haloperidol. 3/ Amphetamine treatment increased the frequency of rearing in the middle at the choice point of the Y-maze. Haloperidol pre-treatment blocked this increase at the midpoint on day 1, and blocked the rearing behavior at the end of an arm on day 2. 4/ Amphetamine also increased the frequency of head turning and "looking", - an effect that was also prevented by haloperidol. (day 2 onwards). 5/ Haloperidol increased the duration of" looking" and of rearing at the end of an arm later in testing.. Conclusions: Two effects are postulated to have occurred. a) a conflict on day 1 between the novelty-controlled sensory or attentional effects, that leads to an alternation of arm-choice, and amphetamine-induced DA activity that facilitates an alternation of behavioural responses: -- the result was random choice and increased rearing at the choice point. b) On days 2-4 the drug-induced effects on switching motor responses came to control behaviou

Locomotor activity in relation to dopamine and noradrenaline in the nucleus accumbens, septal and frontalk areas: a 6-hydroxydopamine study

The Study and the Method: The locomotor activity of adult male Sprague-Dawley was automatically recorded in a circular corridor - circadian changes are described as well as the response to the novel situation and its habituation over three hours. Four groups of animals were compared, - those with sham/vehicle operations and those with 6-OHDA dopamine (DA) depleting lesions in - the frontal cortex, the limbic septum, and the ventral tegmental area (VTA - A10). Results: 1/ Lesions of the VTA resulted in increased dark-phase activity, - and a large response to an apomorphine challenge in comparison to other lesion and control groups: 2/ Septal 6-OHDA lesions did not alter locomotion: 3/ After frontal DA depletion there was a small increase of locomotion after the apomorphine challenge, that might reflect increased receptor sensitivity in cortical or sub-cortical areas: (Table 1: HPLC measures of NA, DA and DOPAC for each group in the prefrontal cortex, septum and N. accumbens) Figure 1 illustrates the cumulative photocell counts per hour over 24 hours for the 4 groups:. Figure 2 illustrates the cumulative photocell counts every 10 minutes over 90 minutes post-apomorphine treatment - maximal at 20-30 minutes and habituating over 60 minutes (90 minutes for the VTA group): overall activity VTA >> Frontal > Septal > Controls. Conclusions: Along with correlations found for motor activity with cortical levels of DA and NA, these results are interpreted to support a role for DA, NA and the region of the frontal cortex in modulating locomotion that is primarily mediated by mesolimbic VTA - accumbens - DA activity

A Robust Method for Drilling Monitoring using Acoustic Emission

Acoustic Emission (AE) is considered an efficient tool for monitoring of machining operations, for both tool condition and working piece integrity. However, the use of AE is more challenging in case of drilling, due to heavy dependence of AE signals to process parameters. Monitoring drilling using AE thus requires robust methods to extract useful information in signals. The paper describes such a method that adapts itself to AE signals obtained during drilling, allowing the automatic set-up of an adaptive threshold to perform AE count rate. Experiments have been conducted that show the robustness of the method and its usefulness in drilling monitoring.International audienceAcoustic Emission (AE) is considered an efficient tool for monitoring of machining operations, for both tool condition and working piece integrity. However, the use of AE is more challenging in case of drilling, due to heavy dependence of AE signals to process parameters. Monitoring drilling using AE thus requires robust methods to extract useful information in signals. The paper describes such a method that adapts itself to AE signals obtained during drilling, allowing the automatic set-up of an adaptive threshold to perform AE count rate. Experiments have been conducted that show the robustness of the method and its usefulness in drilling monitoring

Construindo a identidade agroecológica através de trocas de experiências entre assentamentos da reforma agrária no estado de São Paulo.

Resumo: Este trabalho faz parte do projeto ?Capacitação sócio-ambiental para construção de projetos de desenvolvimento sustentável em assentamentos rurais no estado de São Paulo?, uma parceria da Embrapa Meio Ambiente com o INCRA, MST e outras organizações de agricultores assentados. Assim, propomos apresentar uma etapa dos trabalhos que vem sendo desenvolvido nos assentamentos Itapeva e Sepé Tiaraju, nos respectivos municípios de Itapeva/SP e Ribeirão Preto/SP. Iniciado em 2009, este trabalho visa a assessorar e potencializar os trabalhos de transição agroecológica através da aproximação de agricultores assentados com processos diferentes de ocupação da terra, porém com mesmos objetivos de diversificação do sistema produtivo de forma sustentável. Abstract: This work is part of the project "Capacity building for social and environmental projects for sustainable development in rural settlements in the state of São Paulo, a partnership withEmbrapa Environment INCRA, MST and other organizations offarmers settled.Therefore, we propose to present a step in the work being donein the settlements and Itapeva Sepe Tiaraju, in their municipality of Itapeva / SP, Ribeirao Preto / SP. Started in 2009, this work aims to assist and enhance the work through the transitionalagro- ecological approach to resettled farmers with different processes acupaçao of the earth, but with the same objectivesof diversification of the productive system in a sustainable manner

Evidence for enhanced neurobehavioral vulnerability to nicotine during periadolescence in rats

Epidemiological studies indicate that there is an increased likelihood for the development of nicotine addiction when cigarette smoking starts early during adolescence. These observations suggest that adolescence could be a “critical ” ontogenetic period, during which drugs of abuse have distinct effects responsible for the development of dependence later in life. We compared the long-term behavioral and molecular effects of repeated nicotine treatment during either periadolescence or postadolescence in rats. It was found that exposure to nicotine during periadolescence, but not a similar exposure in the postadolescent period, increased the intravenous self-administration of nicotine and the expression of distinct subunits of the ligand-gated acetylcholine receptor in adult animals. Both these changes indicated an increased sensitivity to the addictive properties of nicotine. In conclusion, adolescence seems to be a critical developmental period, characterized by enhanced neurobehavioral vulnerability to nicotine. Key words: nicotine; adolescence; intravenous; self-administration; acetylcholine receptor; PC

Multisensor data fusion and belief functions for robust singularity detection in signals

This paper addresses the problem of robust detection of signal singularity in hostile environments using multisensor data fusion. Measurement uncertainty is usually treated in a probabilistic way, assuming lack of knowledge is totally due to random effects. However, this approach fails when other effects, such as sensor failure, are involved. In order to improve the robustness of singularity detection, an evidence theory based approach is proposed for both modeling (data alignment) and merging (data fusion) information coming from multiple redundant sensors. Whereas the fusion step is done classically, the proposed method for data alignment has been designed to improve singularity detection performances in multisensor cases. Several case studies have been designed to suit real life situations. Results provided by both probabilistic and evidential approaches are compared. Evidential methods show better behavior facing sensors dysfunction and the proposed method takes fully advantage of component redundancy

Feature Selection for Complex Systems Monitoring: an Application using Data Fusion

Emergence of automated and flexible production means leads to the need of robust monitoring systems. Such systems are aimed at the estimation of the production process state by deriving it as a function of critical variables, called features, that characterize the process condition. The problem of feature selection, which consists, given an original set of features, in finding a subset such the estimation accuracy of the monitoring system is the highest possible, is therefore of major importance for sensor-based monitoring applications. Considering real-world applications, feature selection can be tricky due to imperfection on available data collections: depending on the data acquisition conditions and the monitored process operating conditions, they can be heterogeneous, incomplete, imprecise, contradictory, or erroneous. Classical feature selection techniques lack of solutions to deal with uncertain data coming from different collections. Data fusion provides solutions to process these data collections altogether in order to achieve coherent feature selection, even in difficult cases involving imperfect data. In this work, condition monitoring of the tool in industrial drilling systems will serve as a basis to demonstrate how data fusion techniques can be used to perform feature selection in such difficult cases