Activity in inferior parietal and medial prefrontal cortex signals the accumulation of evidence in a probability learning task.

In an uncertain environment, probabilities are key to predicting future events and making adaptive choices. However, little is known about how humans learn such probabilities and where and how they are encoded in the brain, especially when they concern more than two outcomes. During functional magnetic resonance imaging (fMRI), young adults learned the probabilities of uncertain stimuli through repetitive sampling. Stimuli represented payoffs and participants had to predict their occurrence to maximize their earnings. Choices indicated loss and risk aversion but unbiased estimation of probabilities. BOLD response in medial prefrontal cortex and angular gyri increased linearly with the probability of the currently observed stimulus, untainted by its value. Connectivity analyses during rest and task revealed that these regions belonged to the default mode network. The activation of past outcomes in memory is evoked as a possible mechanism to explain the engagement of the default mode network in probability learning. A BOLD response relating to value was detected only at decision time, mainly in striatum. It is concluded that activity in inferior parietal and medial prefrontal cortex reflects the amount of evidence accumulated in favor of competing and uncertain outcomes.

Health And Social Care Inequalities Monitoring System: First Update Bulletin 2004 (PDF 273 KB)

The Inequalities Monitoring System comprises a basket of indicators which are monitored over time to assess area differences in morbidity, utilisation of and access to health and social care services in Northern Ireland. Inequalities between the 20% most deprived electoral wards and Northern Ireland as a whole are measured with deprived areas identified from an update of the Noble Income domain for current ward boundaries. Results for 20% most rural areas were also compared against Northern Ireland overall using population density from the 2001 Census of Population as a measure of rurality. This report is the first annual update of the baseline results presented in Chapter 8 of Equality and Inequalities in Health and Social care in Northern Ireland – A Statistical Overview (DHSSPS 2004) which focused on 2001/2002. The morbidity and utilisation data in this report are the latest available while the locations of services for the accessibility analysis will be updated in subsequent years åÊ

Drug monographs on drugs which are frequently analysed in the context of Therapeutic Drug Monitoring = Arzneimittel-Monographien für Medikamente, die regelmässig im Rahmen des Therapeutic Drug Monitorings analysiert werden

In addition to the monographs which were published last year by the working group "Drug Monitoring" of the Swiss Society of Clinical Chemistry (SSCC) [1], new monographs have been written. The aim of these monographs is to give an overview of the most important information necessary for ordering a drug analysis or interpreting the results. Therefore, the targeted readers comprise laboratory health professionals and all receivers of laboratory reports. There is information provided on the indication for therapeutic drug monitoring, protein binding, metabolic pathways and enzymes involved, elimination half-life and elimination routes, and on therapeutic or toxic concentrations. Preanalytical considerations are of particular importance for therapeutic drug monitoring. Therefore, information is provided regarding a reasonable timing for the determination of drug concentrations as well as steady-state concentrations after changing the dose. Furthermore, the stability of the drug and its metabolite(s) after blood sampling is described. For readers with a specific interest in drug analysis, references to important publications are given. The number of monographs will be continuously enlarged. The updated files are presented on the homepage of the SSCC (www.sscc.ch).

Health and Social Care Inequalities Monitoring System (PDF 273 KB)

The Inequalities Monitoring System comprises a basket of indicators which are monitored over time to assess area differences in morbidity, utilisation of and access to health and social care services in Northern Ireland. Inequalities between the 20% most deprived electoral wards and Northern Ireland as a whole are measured with deprived areas identified from an update of the Noble Income domain for current ward boundaries. Results for 20% most rural areas were also compared against Northern Ireland overall using population density from the 2001 Census of Population as a measure of rurality. This report is the firståÊ annual update of the baseline results presented in Chapter 8 of Equality and Inequalities in Health and Social care in Northern Ireland – A Statistical Overview (DHSSPS 2004) which focused on 2001/2002. The morbidity and utilisation data in this report are the latest available while the locations of services for the accessibility analysis will be updated in subsequent years. åÊ åÊ

Information systems for water resources management improvement in developing countries

Water resources management, as also water service provision projects in developing countries have difficulties to take adequate decisions due to scarce reliable information, and a lack of proper information managing. Some appropriate tools need to be developed in order to improve decision making to improve water management and access of the poorest, through the design of Decision Support Systems (DSS). On the one side, a DSS for developing co-operation projects on water access improvement has been developed. Such a tool has specific context constrains (structure of the system, software requirements) and needs (Logical Framework Approach monitoring, organizational-learning, accountability and evaluation) that shall be considered for its design. Key aspects for its successful implementation have appeared to be a participatory design of the system and support of the managerial positions at the inception phase. A case study in Tanzania was conducted, together with the Spanish NGO ONGAWA – Ingeniería para el Desarrollo. On the other side, DSS are required also to improve decision making on water management resources in order to achieve a sustainable development that not only improves the living conditions of the population in developing countries, but that also does not hinder opportunities of the poorest on those context. A DSS made to fulfil these requirements shall be using information from water resources modelling, as also on the environment and the social context. Through the research, a case study has been conducted in the Central Rift Valley of Ethiopia, an endhorreic basin 160 km south of Addis Ababa. There, water has been modelled using ArcSWAT, a physically based model which can assess the impact of land management practices on large complex watersheds with varying soils, land use and management conditions over long periods of time. Moreover, governance on water and environment as also the socioeconomic context have been studied.

Health Inequalities: NI Health % Social Care Inequalities Monitoring System - Regional 2014

Key Points: Health outcomes are generally worse in the most deprived areas in Northern Ireland when compared both with those witnessed in the region generally and in the least deprived areas. Large differences (health inequality gaps) continue to exist for a number of different health measures. åá Males in the 20% most deprived areas could expect, on average, to live 4.3 fewer years than the NI average and 7.3 fewer years than those in the 20% least deprived areas.åá Female life expectancy in the most deprived areas was 2.6 years less than the regional average and 4.3 years less than that in the least deprived areas.åá The overall death rate for males as measured by the All Age All Cause Mortality (AAACM) rate was a fifth higher in the most deprived areas (1,567 deaths per 100,000 population) than the NI average (1,304 deaths per 100,000 population), and 44% higher than in the least deprived areas (1,090 deaths per 100,000 population).åá The overall death rate for females (AAACM) in the most deprived areas (1,093 deaths per 100,000 population) was 17% higher than regionally (935 deaths per 100,000 population), and a third higher than in the least deprived areas (829 deaths per 100,000 population).åá The suicide rate in the most deprived areas (30.7 deaths per 100,000 population) was three times that in the least deprived areas (10.1 deaths per 100,000 population). All HSCIMS reports are published on the Departmental website at: http://www.dhsspsni.gov.uk/index/statistics/health-inequalities.htm

Implementation of Recommendations of the Commission on Nursing - Third Annual Progress Report of the Monitoring Committee

Implementation of Recommendations of the Commission on Nursing – Third Annual Progress Report of the Monitoring Committee This is the third annual report of the Monitoring Committee established by the Minister for Health and Children to oversee progress in the implementation of the recommendations contained in the Report of the Commission on Nursing A Blueprint for the Future. It outlines the further progress made during 2002 in achieving targets set out in the Priority Action Plan for 2002 and 2003 agreed between the Department of Health and Children and the Nursing Alliance. Click here to download PDF 50kb

Implementation of Recommendations of the Commission on Nursing - Third Annual Progress Report of the Monitoring Committee

Click here to download PDF

Dynamics of the recruitment of lateral amygdala neurons following successive fear learning to different conditional stimuli

In fear conditioning, an animal learns to associate an unconditioned stimulus (US), such as a shock, and a conditioned stimulus (CS), such as a tone, so that the presentation of the CS alone can trigger conditioned responses. Recent research on the lateral amygdala has shown that following cued fear conditioning, only a subset of higher-excitable neurons are recruited in the memory trace. Their selective deletion after fear conditioning results in a selective erasure of the fearful memory. I hypothesize that the recruitment of highly excitable neurons depends on responsiveness to stimuli, intrinsic excitability and local connectivity. In addition, I hypothesize that neurons recruited for an initial memory also participate in subsequent memories, and that changes in neuronal excitability affect secondary fear learning. To address these hypotheses, I will show that A) a rat can learn to associate two successive short-term fearful memories; B) neuronal populations in the LA are competitively recruited in the memory traces depending on individual neuronal advantages, as well as advantages granted by the local network. By performing two successive cued fear conditioning experiments, I found that rats were able to learn and extinguish the two successive short-term memories, when tested 1 hour after learning for each memory. These rats were equipped with a system of stable extracellular recordings that I developed, which allowed to monitor neuronal activity during fear learning. 233 individual putative pyramidal neurons could modulate their firing rate in response to the conditioned tone (conditioned neurons) and/or non- conditioned tones (generalizing neurons). Out of these recorded putative pyramidal neurons 86 (37%) neurons were conditioned to one or both tones. More precisely, one population of neurons encoded for a shared memory while another group of neurons likely encoded the memories' new features. Notably, in spite of a successful behavioral extinction, the firing rate of those conditioned neurons in response to the conditioned tone remained unchanged throughout memory testing. Furthermore, by analyzing the pre-conditioning characteristics of the conditioned neurons, I determined that it was possible to predict neuronal recruitment based on three factors: 1) initial sensitivity to auditory inputs, with tone-sensitive neurons being more easily recruited than tone- insensitive neurons; 2) baseline excitability levels, with more highly excitable neurons being more likely to become conditioned; and 3) the number of afferent connections received from local neurons, with neurons destined to become conditioned receiving more connections than non-conditioned neurons. - En conditionnement de la peur, un animal apprend à associer un stimulus inconditionnel (SI), tel un choc électrique, et un stimulus conditionné (SC), comme un son, de sorte que la présentation du SC seul suffit pour déclencher des réflexes conditionnés. Des recherches récentes sur l'amygdale latérale (AL) ont montré que, suite au conditionnement à la peur, seul un sous-ensemble de neurones plus excitables sont recrutés pour constituer la trace mnésique. Pour apprendre à associer deux sons au même SI, je fais l'hypothèse que les neurones entrent en compétition afin d'être sélectionnés lors du recrutement pour coder la trace mnésique. Ce recrutement dépendrait d'un part à une activation facilité des neurones ainsi qu'une activation facilité de réseaux de neurones locaux. En outre, je fais l'hypothèse que l'activation de ces réseaux de l'AL, en soi, est suffisante pour induire une mémoire effrayante. Pour répondre à ces hypothèses, je vais montrer que A) selon un processus de mémoire à court terme, un rat peut apprendre à associer deux mémoires effrayantes apprises successivement; B) des populations neuronales dans l'AL sont compétitivement recrutées dans les traces mnésiques en fonction des avantages neuronaux individuels, ainsi que les avantages consentis par le réseau local. En effectuant deux expériences successives de conditionnement à la peur, des rats étaient capables d'apprendre, ainsi que de subir un processus d'extinction, pour les deux souvenirs effrayants. La mesure de l'efficacité du conditionnement à la peur a été effectuée 1 heure après l'apprentissage pour chaque souvenir. Ces rats ont été équipés d'un système d'enregistrements extracellulaires stables que j'ai développé, ce qui a permis de suivre l'activité neuronale pendant l'apprentissage de la peur. 233 neurones pyramidaux individuels pouvaient moduler leur taux d'activité en réponse au son conditionné (neurones conditionnés) et/ou au son non conditionné (neurones généralisant). Sur les 233 neurones pyramidaux putatifs enregistrés 86 (37%) d'entre eux ont été conditionnés à un ou deux tons. Plus précisément, une population de neurones code conjointement pour un souvenir partagé, alors qu'un groupe de neurones différent code pour de nouvelles caractéristiques de nouveaux souvenirs. En particulier, en dépit d'une extinction du comportement réussie, le taux de décharge de ces neurones conditionné en réponse à la tonalité conditionnée est resté inchangée tout au long de la mesure d'apprentissage. En outre, en analysant les caractéristiques de pré-conditionnement des neurones conditionnés, j'ai déterminé qu'il était possible de prévoir le recrutement neuronal basé sur trois facteurs : 1) la sensibilité initiale aux entrées auditives, avec les neurones sensibles aux sons étant plus facilement recrutés que les neurones ne répondant pas aux stimuli auditifs; 2) les niveaux d'excitabilité des neurones, avec les neurones plus facilement excitables étant plus susceptibles d'être conditionnés au son ; et 3) le nombre de connexions reçues, puisque les neurones conditionné reçoivent plus de connexions que les neurones non-conditionnés. Enfin, nous avons constaté qu'il était possible de remplacer de façon satisfaisante le SI lors d'un conditionnement à la peur par des injections bilatérales de bicuculline, un antagoniste des récepteurs de l'acide y-Aminobutirique.

Implementation of Recommendations of The Commission on Nursing - First Annual Progress Report of Monitoring Committee

The focus of this first annual report is on the progress made during 2000 in implementing the recommendations contained in the priority Action Plan. However, the Monitoring Committee acknowledges that certain other key recommendations of the Commission were implemented in 1998/1999. A summary of these are included in this report in order to provide a comprehensive overview of all that has been achieved since the Commission’s report was launched. Download the Report here

Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling

An active learning method is proposed for the semi-automatic selection of training sets in remote sensing image classification. The method adds iteratively to the current training set the unlabeled pixels for which the prediction of an ensemble of classifiers based on bagged training sets show maximum entropy. This way, the algorithm selects the pixels that are the most uncertain and that will improve the model if added in the training set. The user is asked to label such pixels at each iteration. Experiments using support vector machines (SVM) on an 8 classes QuickBird image show the excellent performances of the methods, that equals accuracies of both a model trained with ten times more pixels and a model whose training set has been built using a state-of-the-art SVM specific active learning method