10 resultados para Physiological arousal
em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland
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Selostus: Ryhmäkoon ja varhaisen käsittelyn vaikutus tarhattujen sinikettujen hyvinvointiin
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Selostus: Ryhmäkoon ja käytössä olevan tilan vaikutus tarhattujen hopeakettupentujen hyvinvointiin
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Abstract
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Histamine acts as a neurotransmitter in the central nervous system. Brain histamine in synthesized in neurons located to the posterior hypothalamus, from where these neurons send their projections to different parts of the brain. Released histamine participates in the regulation of several physiological functions such as arousal, attention and body homeostasis. Disturbances in the histaminergic system have been detected in diseases such as epilepsy, sleep disorders, anxiety, depression, Alzheimer’s disease, and schizophrenia. The purpose of this thesis was to develop optimal culture conditions for the histaminergic neurons, to study their detailed morphology, and to find out their significance in the kainic acid (KA)-induced neuronal death in the immature rat hippocampus. The morphology of the histaminergic neurons in vitro was comparable with the earlier findings. Histamine-containing vesicles were found in the axon but also in the cell body and dendrites suggesting a possibility for the somatodendritic release. Moreover, histamine was shown to be colocalized with the vesicular monoamine transporter 2 (VMAT2) suggesting that VMAT2 transports histamine to the subcellular storage vesicles. Furthermore, histamine was localized with γ-aminobutyric acid (GABA) in distinct storage vesicles and with neuropeptide galanin partly in the same storage vesicles suggesting different corelease mechanisms for GABA and galanin with histamine. In the organotypic hippocampal slice cultures, KA-induced neuronal death was first detected 12 h after the treatment being restricted mainly to the CA3 subregion. Moreover, cell death was irreversible, since the 48 h recovery period did not save the cells, but instead increased the damage. Finally, neuronal death was suggested to be necrotic, since intracellular apoptotic pathways were not activated, and the morphological changes detected with the electron microscopy were characteristic for necrosis. In the coculture system of the hippocampal and posterior hypothalamic slices, histaminergic neurons significantly decreased epileptiform burst activity and neuronal death in the hippocampal slices, this effect being mediated by histamine 1 (H1) and 3 (H3) receptors. In conclusion, the histaminergic neurons were maintained succesfully in the in vitro conditions exhibiting comparable morphological characteristics as detected earlier in vivo. Moreover, they developed functional innervations within the hippocampal slices in the coculture system. Finally, the KA-induced regionspecific, irreversible and necrotic hippocampal pyramidal cell damage was significantly decreased by the histaminergic neurons through H1 and H3 receptors.
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In the present study we explored whether and how the situational factors; emotional states, sexual arousal, and alcohol intoxication influenced the propensity in adults to engage in online sexual contact with children (13 or younger) and adolescents (14 – 17 year olds). The results were compared to a group of adults that had engaged in online sexual contact with adults only (18 or older). We also looked at the variation over time within these situational factors during the online sexual contact with a child, an adolescent, or an adult. The present study was an online self-report survey to the adult populations in Finland, Sweden, and Germany, with a final sample (N = 776) of women and men who were active on the Internet. The participants were asked to report whether, how, and with whom they had engaged in online sexual contact. The results showed that more men than women reported online sexual contact with persons of all age groups, and that the situational factors; emotional states and sexual arousal influenced the propensity in both women and men to engage in online sexual contact with children and adolescents. However, the effects of alcohol intoxication were small and significant only for men. These results indicate that higher levels of emotional state and sexual arousal might increase the propensity to go against social norms and contact children and adolescents online for sexual purposes, but it can also imply that that those who look for online sexual contact online with children and adolescents, are more emotionally and/or sexually aroused than the group that only seek adult company or that these are post-hoc explanations for such sexual activities.
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The continuous technology evaluation is benefiting our lives to a great extent. The evolution of Internet of things and deployment of wireless sensor networks is making it possible to have more connectivity between people and devices used extensively in our daily lives. Almost every discipline of daily life including health sector, transportation, agriculture etc. is benefiting from these technologies. There is a great potential of research and refinement of health sector as the current system is very often dependent on manual evaluations conducted by the clinicians. There is no automatic system for patient health monitoring and assessment which results to incomplete and less reliable heath information. Internet of things has a great potential to benefit health care applications by automated and remote assessment, monitoring and identification of diseases. Acute pain is the main cause of people visiting to hospitals. An automatic pain detection system based on internet of things with wireless devices can make the assessment and redemption significantly more efficient. The contribution of this research work is proposing pain assessment method based on physiological parameters. The physiological parameters chosen for this study are heart rate, electrocardiography, breathing rate and galvanic skin response. As a first step, the relation between these physiological parameters and acute pain experienced by the test persons is evaluated. The electrocardiography data collected from the test persons is analyzed to extract interbeat intervals. This evaluation clearly demonstrates specific patterns and trends in these parameters as a consequence of pain. This parametric behavior is then used to assess and identify the pain intensity by implementing machine learning algorithms. Support vector machines are used for classifying these parameters influenced by different pain intensities and classification results are achieved. The classification results with good accuracy rates between two and three levels of pain intensities shows clear indication of pain and the feasibility of this pain assessment method. An improved approach on the basis of this research work can be implemented by using both physiological parameters and electromyography data of facial muscles for classification.