938 resultados para Social-spatial human behavior


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With assays of hormone-sensitive behaviors, it is possible to demonstrate both direct and indirect actions of genes on mammalian social behaviors. Direct effects of estrogen receptor gene expression and progesterone receptor gene expression figure prominently in well analyzed neuroendocrine mechanisms for sex behavior, operating through a neural circuit that has been delineated. Indirect effects, notably the consequences of sexual differentiation, display complex dependencies. In a human condition, Kallmann syndrome, the data show a clear, indirect genetic influence on an important human social behavior, in which damage at chromosome Xp-22.3 works through at least six discrete steps to affect libido. Altogether, simplistic extrapolations from lower animals, especially during brief summaries for nonscientists, do not appear justified as we discover and conceptualize genetic influences on mammalian brain and behavior.

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Centromere proteins are localized within the centromere-kinetochore complex, which can be proven by means of immunofluorescence microscopy and immunoelectron microscopy. In consequence, their putative functions seem to be related exclusively to mitosis, namely to the interaction of the chromosomal kinetochores with spindle microtubules. However, electron microscopy using immune sera enriched with specific antibodies against human centromere protein C (CENP-C) showed that it occurs not only in mitosis but during the whole cell cycle. Therefore, we investigated the cell cycle-specific expression of CENP-C systematically on protein and mRNA levels applying HeLa cells synchronized in all cell cycle phases. Immunoblotting confirmed protein expression during the whole cell cycle and revealed an increase of CENP-C from the S phase through the G2 phase and mitosis to highest abundance in the G1 phase. Since this was rather surprising, we verified it by quantifying phase-specific mRNA levels of CENP-C, paralleled by the amplification of suitable internal standards, using the polymerase chain reaction. The results were in excellent agreement with abundant protein amounts and confirmed the cyclic behavior of CENP-C during the cell cycle. In consequence, we postulate that in addition to its role in mitosis, CENP-C has a further role in the G1 phase that may be related to cell cycle control.

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Deep brain stimulation (DBS) provides significant therapeutic benefit for movement disorders such as Parkinson’s disease (PD). Current DBS devices lack real-time feedback (thus are open loop) and stimulation parameters are adjusted during scheduled visits with a clinician. A closed-loop DBS system may reduce power consumption and side effects by adjusting stimulation parameters based on patient’s behavior. Thus behavior detection is a major step in designing such systems. Various physiological signals can be used to recognize the behaviors. Subthalamic Nucleus (STN) Local field Potential (LFP) is a great candidate signal for the neural feedback, because it can be recorded from the stimulation lead and does not require additional sensors. This thesis proposes novel detection and classification techniques for behavior recognition based on deep brain LFP. Behavior detection from such signals is the vital step in developing the next generation of closed-loop DBS devices. LFP recordings from 13 subjects are utilized in this study to design and evaluate our method. Recordings were performed during the surgery and the subjects were asked to perform various behavioral tasks. Various techniques are used understand how the behaviors modulate the STN. One method studies the time-frequency patterns in the STN LFP during the tasks. Another method measures the temporal inter-hemispheric connectivity of the STN as well as the connectivity between STN and Pre-frontal Cortex (PFC). Experimental results demonstrate that different behaviors create different m odulation patterns in STN and it’s connectivity. We use these patterns as features to classify behaviors. A method for single trial recognition of the patient’s current task is proposed. This method uses wavelet coefficients as features and support vector machine (SVM) as the classifier for recognition of a selection of behaviors: speech, motor, and random. The proposed method is 82.4% accurate for the binary classification and 73.2% for classifying three tasks. As the next step, a practical behavior detection method which asynchronously detects behaviors is proposed. This method does not use any priori knowledge of behavior onsets and is capable of asynchronously detect the finger movements of PD patients. Our study indicates that there is a motor-modulated inter-hemispheric connectivity between LFP signals recorded bilaterally from STN. We utilize a non-linear regression method to measure this inter-hemispheric connectivity and to detect the finger movements. Our experimental results using STN LFP recorded from eight patients with PD demonstrate this is a promising approach for behavior detection and developing novel closed-loop DBS systems.

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The Architecture and Household Trade Union built nearly 2,000 subsidized dwellings in Albacete from 1941 to 1971. It was the responsible entity from the end of the Civil War until the beginning of Democracy of the social policy programs in Spain. Later on, and together with the National Housing Institute, were responsible for the construction activity. Its limited budget, scarcity of technical and human resources and an urgent need for new housing developments, constituted the basis for producing a vast housing market of low construction qualities. However, thanks to the true architectonic expertise of some of the professionals, some of the developments were designed with a clear urban strategy and in direct relation with the city, which characterizes them to be studied and conserved. This is the case for the selected development for the analysis, the urban complex of the 500 dwellings in Albacete, the Hermanos Falcó Neighborhood. Designed and built between 1963, Alfonso Crespo and Adolfo Gil architects, and 1977 second reformed project by the architect Fernando Rodríguez. It is characterized by its layout on the territory, its controlled relation with the city and its different types of open blocks. Above all, its spatial and human scale strengths, directly related to the European post-war proposals, have to be emphasized; although its technical deficiencies affect the interior quality of the houses. This paper examines its virtues and failures and proposes, using current tools, its renovation. This proposal main aims are to extend its lifetime and develop the particular and urban sustainability levels.

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There has been very little research that has studied the capacities that can be fostered to mitigate the risk for involvement in electronic bullying or victimization and almost no research examining positive electronic behavior. The primary goal of this dissertation was to use the General Aggression Model and Anxious Apprehension Model of Trauma to explore the underlying cognitive, emotional, and self-regulation processes that are related to electronic bullying, victimization, and prosocial behavior. In Study 1, we explored several potential interpretations of the General Aggression Model that would accurately describe the relationship that electronic self-conscious appraisal, cognitive reappraisal, and activational control may have with electronic bullying and victimization. In Study 2, we used the Anxious Apprehension Model of Trauma to explore rejection cognitions as the mediator of the relationships among emotionality (emotionality, shame, state emotion responses, and physiological arousal) and electronic bullying and victimization using structural equation modelling. In addition, we explored the role of rejection cognitions in mediating the relationship of moral disengagement with electronic bullying. In Study 3, we examined predictors of electronic prosocial behavior, such as bullying, victimization, time online, electronic proficiency, electronic self-conscious appraisals, emotionality, and self-regulation. All three studies supported the General Aggression Model as a framework to guide the study of electronic behavior, and suggest the importance of cognitive, emotional, and behavioral means of regulation in shaping electronic behavior. In addition, each study has implications for the development of high quality electronic bullying prevention and intervention research.

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During the last decade Castoriadis’ questioning has become a reference point in contemporary social theory. In this article I examine some of the key notions in Castoriadis’ work and explore how he strives to develop a theory on the irreducible creativity in the radical imagination of the individual and in the institution of the social-historical sphere. Firstly, I briefly discuss his conception of modern capitalism as bureaucratic capitalism, a view initiated by his criticism of the USSR regime. The following break up with Marxist theory and his psychoanalytic interests empowered him to criticize Lacan and read Freud in an imaginative, though unorthodox, fashion. I argue that this critical enterprise assisted greatly Castoriadis in his conception of the radical imaginary and in his unveiling of the political aspects of psychoanalysis. On the issue of the radical imaginary and its methodological repercussions, I’m focusing mainly on the radical imagination of the subject and its importance in the transition from the ‘‘psychic’’ to the ‘‘subject’’. Taking up the notion of “Being” as a starting point, I examine the notion of autonomy, seeking its roots in the ancient Greek world. By looking at notions such as “praxis”, “doing”, “project” and “elucidation”, I show how Castoriadis sought to redefine revolution as a means for social and individual autonomy. Finally I attempt to clarify the meaning of “democracy” and “democratic society” in the context of the social imaginary and its creations, the social imaginary significations.

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With whom should entrepreneurs create their firms in order to enhance nascent venture performance? Conventional wisdom suggests that the stronger human capital and social relations in nascent venture teams are, the better the nascent venture’s performance. We draw from social embeddedness literature, however, and argue that the positive effect of team members’ human capital on three different dimensions of nascent venture performance is weaker when team members exhibit strong social relations. Our analysis of 488 nascent venture teams in the PSED II dataset confirms our predictions, showing that nascent ventures of teams with strong human capital but weaker social relations exhibit the best performance. The study thus offers valuable contributions particularly to literature on entrepreneurial teams the determinants of new venture performance.

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Federal Highway Administration, Washington, D.C.

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"Selected bibliography": p. 68-70.

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Includes bibliographies