Academic literature on the topic 'Affective state'

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Journal articles on the topic "Affective state"

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Koukopoulos, Alexia Emilia, Gloria Angeletti, Gabriele Sani, Delfina Janiri, Giovanni Manfredi, Georgios D. Kotzalidis, and Lavinia De Chiara. "Perinatal Mixed Affective State." Psychiatric Clinics of North America 43, no. 1 (March 2020): 113–26. http://dx.doi.org/10.1016/j.psc.2019.10.004.

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Harding, Emma J., Elizabeth S. Paul, and Michael Mendl. "Cognitive bias and affective state." Nature 427, no. 6972 (January 2004): 312. http://dx.doi.org/10.1038/427312a.

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Altman, Tess. "Making the State Blush." Social Analysis 64, no. 1 (March 1, 2020): 1–23. http://dx.doi.org/10.3167/sa.2020.640101.

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The Australian state’s hostile deterrence policy toward people arriving by boat who seek asylum evokes polarized public sentiments. This article, which ethnographically follows a humanitarian NGO campaign in the lead-up to the 2016 Australian election, examines how citizens who opposed deterrence sought to affectively and morally influence the state and the public. Building on anthropological theories of the state and feminist scholarship on the sociality of emotion, I develop the notion of ‘affective relations’. Distinguishing from nationalist, humanitarian, and activist relations that set up divisive dynamics, campaigners invoked ‘humanizing’ to create affective relations based on common values, personalization, and responsiveness. Although the desired election results were not achieved, the focus on humanization represented a long-term shift to an inclusive alternative politics based on the transformation of power relations.
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Costa Da Silva, Elainy, and Nythamar De Oliveira. "Spinoza’s Geometry of Affective Relations, the Body Politic, and the Social Grammar of Intolerance: A Minimalist Theory of Toleration." Roczniki Filozoficzne 70, no. 4 (December 30, 2022): 237–69. http://dx.doi.org/10.18290/rf2204.9.

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In this paper, we set out to show that the relationships between individuals, including the intersubjectivity inherent to the body politic, are also affective relationships, so as to reconstruct Spinoza’s minimalist theory of tolerance. According to Spinoza’s concept of affectivity and bodily life, affection refers to a state of the affected body and implies the presence of the affecting body, while affect refers to the transition from one state to another, taking into account the correlative variation of affective bodies, that is, the affect is always a passage or variation in the intensity of our power to exist and act — the increase or decrease, the favoring or the restraint of our power to exist and act. We argue that Spinoza’s geometry of affective relations decisively contributes to a political theory of democracy, insofar as it anticipates modern, liberal conceptions of tolerance.
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Murali Krishna, P., R. Pradeep Reddy, Veena Narayanan, S. Lalitha, and Deepa Gupta. "Affective state recognition using audio cues." Journal of Intelligent & Fuzzy Systems 36, no. 3 (March 26, 2019): 2147–54. http://dx.doi.org/10.3233/jifs-169926.

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Luneski, A., E. Konstantinidis, and P. D. Bamidis. "Affective Medicine." Methods of Information in Medicine 49, no. 03 (2010): 207–18. http://dx.doi.org/10.3414/me0617.

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Summary Background: Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as “computing that relates to, arises from, or deliberately influences emotions”.AC enables investigation and understanding of the relation between human emotions and health as well as application of assistive and useful technologies in the medical domain. Objectives: 1) To review the general state of the art in AC and its applications in medicine, and 2) to establish synergies between the research communities of AC and medical informatics. Methods: Aspects related to the human affective state as a determinant of the human health are discussed, coupled with an illustration of significant AC research and related literature output. Moreover, affective communication channels are described and their range of application fields is explored through illustrative examples. Results: The presented conferences, European research projects and research publications illustrate the recent increase of interest in the AC area by the medical community. Tele-home healthcare, Am I, ubiquitous monitoring, e-learning and virtual communities with emotionally expressive characters for elderly or impaired people are few areas where the potential of AC has been realized and applications have emerged. Conclusions: A number of gaps can potentially be overcome through the synergy of AC and medical informatics. The application of AC technologies parallels the advancement of the existing state of the art and the introduction of new methods. The amount of work and projects reviewed in this paper witness an ambitious and optimistic synergetic future of the affective medicine field.
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Sen, Debarati. "Affective Solidarities?" Anthropology in Action 23, no. 2 (June 1, 2016): 13–18. http://dx.doi.org/10.3167/aia.2016.230203.

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AbstractThe popularity of fair trade products has engendered new possibilities for consumer citizens in the global North to demonstrate solidarity with producers in the global South. Fair trade enthusiasts not only buy labelled products as an act of solidarity with producers in Darjeeling’s tea plantations; but also extend their affective solidarity by voluntarily visiting certified production sites to witness how fair trade affects workers’ livelihoods. Fair trade as transnational praxis has inadvertently pushed justice seeking and delivery to a non-state sphere that is not accountable to the workers in terms of citizenship rights; however, it must address the bargaining power of producers since wages and benefits are baseline determinants of quality of life. Fair trade-engendered solidarity practices erase the complex history of workers’ struggle with the state and established systems of power through collective bargaining. These acts in turn produce new kinds of transnational praxis affecting the plantation public sphere.
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Smith, J. Carson, Margaret M. Bradley, and Peter J. Lang. "State anxiety and affective physiology: effects of sustained exposure to affective pictures." Biological Psychology 69, no. 3 (July 2005): 247–60. http://dx.doi.org/10.1016/j.biopsycho.2004.09.001.

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Lynn, Spencer K., Xuan Zhang, and Lisa Feldman Barrett. "Affective state influences perception by affecting decision parameters underlying bias and sensitivity." Emotion 12, no. 4 (2012): 726–36. http://dx.doi.org/10.1037/a0026765.

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Swan, Alexander B., Avichg Cohen, Samantha R. Evans, and Barbara A. Drescher. "Influence of Taste Quality on Affective State." Psi Chi Journal of Psychological Research 18, no. 2 (2013): 61–66. http://dx.doi.org/10.24839/2164-8204.jn18.2.61.

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Dissertations / Theses on the topic "Affective state"

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GILTRI, MARTA. "From Real Affective States towards Affective Agents Modeling." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2023. https://hdl.handle.net/10281/404517.

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La modellazione di agenti che tiene conto di emozioni e stati affettivi costituisce un argomento di discussione piuttosto importante nell’ambito della simulazione ad agenti, soprattutto per via di come introdurre parametri affettivi nella modellazione possa contribuire a rendere le simulazioni più realistiche. In questo ambito di ricerca, però, il modo di introdurre nei modelli parametri in grado di regolare lo stato affettivo degli agenti per da influenzarne azioni e comportamenti è spesso basato sui modelli emozionali che si trovano in letteratura, oppure sulle teorie e i modelli fisici che vengono solitamente utilizzati per la modellazione di pedoni e folle. L’approccio presentato in questo lavoro, quindi, mira ad approcciare il problema dal punto di vista dei dati, puntando ad arrivare alla modellazione di agenti affettivi partendo da dati provenienti da persone reali ed acquisiti tramite esperimenti creati ad hoc con il preciso obiettivo di studiare reazioni e comportamenti da poter poi tradurre in modellazione. In particolare, in questo lavoro il problema viene affrontato concentrandosi in particolare sull’ambito pedonale, osservando diversi tipi di interazione coinvolgenti pedoni tramite quattro diversi esperimenti atti a raccogliere dati in grado di descrivere le interazioni operate dai soggetti per poi inserirle in un contesto di modellazione. Gli esperimenti vengono effettuati in vivo, in vitro e online, osservando le interazioni di pedoni con veicoli, ostacoli in movimento ed altri pedoni, raccogliendo dati riguardo queste diverse interazioni tramite dati fisiologici e questionari atti a profilare i partecipanti e a fornire maggiori informazioni riguardo al comportamento e alle reazioni da loro dimostrate. I dati raccolti vengono quindi utilizzati per la modellazione, prima in ambito di automi cellulari e poi, successivamente, nell’ambito dei sistemi multi-agente, mostrando come le informazioni ricavate dai dati vengano integrate all’interno dei modelli al fine di includere parametri affettivi che, in base ai valori assegnati, influenzino in un certo modo il comportamento degli agenti. Vengono poi proposte alcune simulazioni derivanti dai modelli, ai fini di osservare come i parametri affettivi introdotti influenzino il comportamento degli agenti in azione in determinate situazioni.
The modeling of agents involving emotions and affective states constitutes a relevant discussion topic in the research concerning multi-agent simulations, especially because of how the introduction of affective parameters inside the modeling process could effectively make the produced simulations more realistic. In this research area, though, the modality in which parameters regulating the affective state of agents are introduced into models, so that the agents’ behaviour and actions are influenced by them, is always based on emotional models found in literature, or on physics theories and models usually involved for the modeling of pedestrians and crowds. The approach this work presents, then, aims at tackling this problem from the point of view of data, thus wanting to get to affective agent modeling starting from data coming from real people, acquired through ad-hoc experiments with the precise goal of observing reactions and behaviour to be later translated inside a model. In particular, the focus of this work falls on the research on pedestrians and walkability, observing different types of interactions involving pedestrians through four different experiment through which gather data able to describe the participants’ interactions to then implement them in the modeling step. The proposed experiments are executed in-vivo, in-vitro and online, observing pedestrian interactions with vehicles, moving obstacles and other pedestrians, gathering data regarding these interactions through physiological data and questionnaires made for profiling purposes and in order to have more information regarding the subjects’ behaviour and reactions. The gathered data is then used for modeling, firstly from the point of view of cellular automata and then passing on to the multi-agent systems perspective, showing how the information obtained from the data is introduced inside the models to be parametrized in affective parameters that, depending on the assigned values, could influence in a certain way the behaviour of the agents. After that, some simulation instances derived from the models are presented, as to observe how the affective parameters that were introduced in the models actively influence the behaviour of agents acting and moving in certain situations.
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Svanborg, Pär. "State and trait measures in the affective disorders /." Stockholm, 1999. http://diss.kib.ki.se/1999/91-628-3675-7/.

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Mota, Toledo Selene Atenea 1976. "Automated posture analysis for detecting learner's affective state." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/62371.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002.
Includes bibliographical references (leaves 87-94).
As means of improving the ability of the computer to respond in a way that facilitates a productive and enjoyable learning experience, this thesis proposes a system for the automated recognition and dynamical analysis of natural occurring postures when a child is working in a learning-computer situation. Specifically, an experiment was conducted with 10 children between 8 and 11 years old to elicit natural occurring behaviors during a learning-computer task. Two studies were carried out; the first study reveals that 9 natural occurring postures are frequently repeated during the children's experiment; the second one shows that three teachers could reliably recognize 5 affective states (high interest, interest, low interest, taking a break and boredom). Hence, a static posture recognition system that distinguishes the set of 9 postures was built. This system senses the postures using two matrices of pressure sensors mounted on the seat and back of a chair. The matrices capture the pressure body distribution of a person sitting on the chair. Using Gaussian Mixtures and feed-forward Neural Network algorithms, the system classifies the postures in real time. It achieves an overall accuracy of 87.6% when it is tested with children's postures that were not included in the training set. Also, the children's posture sequences were dynamically analyzed using a Hidden Markov Model for representing each of the 5 affective states found by the teachers. As a result, only the affective states of high interest, low interest, and taking a break were recognized with an overall accuracy of 87% when tested with new postures sequences coming from children included in the training set. In contrast, when the system was tested with posture sequences coming from two subjects that were not included in the training set, it had an overall accuracy of 76%.
by Selene Atenea Mota Toledo.
S.M.
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Anderson, Michael Harvey. "Translational paradigms to assess affective state in humans and animals." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618815.

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Cognitive affective bias and affective state have been extensively researched in humans. However, the majority of tasks cannot be translated to animal paradigms and contribute to the failing of novel drugs and the poor understanding of the aetiology of affective disorders. These biases have recently been observed in rodents, when a somewhat depressive state induced a negative judgement bias. The development of translational tasks capable of quantifying these biases across species would be a valuable tool. The aim of this project was to develop such tasks. The tasks used were, firstly, the affective tone discrimination task, in which both rats and humans discriminated tones-one predicting reward, one the avoidance of punishment. Ambiguous probe tones were used to assess judgement bias during psychopharmacological manipulation in rats and anxiety in humans. The second task translated a rodent successive negative contrast task into a human paradigm, the influence of an anxiety-like state on responses during the loss and gain of reward was investigated. Participants in the affective tone discrimination task tended to avoid punishment in response to ambiguity, which was related to state anxiety. The induction of acute anxiety slowed the identification of reward; no relationship with mood was observed. Rodents similarly tended to avoid punishment, which was not attenuated by acute drug treatment, although chronic treatment tended to reduce this bias. Acute treatment with reboxetine reduced the anticipation and motivation for reward. In the successive contrast task a positive contrast effect was observed, whilst the induction of an anxiety-like state also induced a negative contrast effect, although the underlying affective state was not correlated. These tasks detected changes in performance via affective state manipulations in humans and psychopharmacological administrations in rodents. This highlights the potential of translational tasks. Future studies are required to further validate these tasks and fully elucidate the influence of affective state.
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Munari, Alessandra. "Exploring a simplified affective state test in the red junglefowl." Thesis, Linköpings universitet, Institutionen för fysik, kemi och biologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176743.

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Affective states of animals are emotions with positive or negative valance. Positive and negative affective states affect animal welfare, and can bias interpretation of information positively or negatively, respectively. Judgement bias tests measure affective states based on responses to ambiguous cues, intermediate to cues with learnt positive and negative outcomes. Responses closer to those of positive cues indicate positive affective state. However, animals need extensive training to learn initial associations to reference cues. Therefore, I here aimed to validate an alternative affective state test based on instinctive avoidance of patterns resembling eyespots. Responses to ambiguous eyespot cues similar to responses to full eyespot cues could indicate negative affective state. To test this, behavioural responses of red junglefowl (Gallus gallus) chicks to ambiguous cues from a validated judgement bias test were compared to responses to cues resembling eyespots. In a second cohort of birds, I developed simplified tests with only one ambiguous cue in each tests. I predicted that responses in both tests would correlate positively. In the original tests, shorter distance and latency to approach ambiguous cues correlated positively with latency to approach one of the eyespot cues, a full eyespot cue. This pattern was only observed in females. In the simplified tests, at 4 weeks of age, shortest latency to approach cues correlated among tests. This pattern was not observed when chicks were tested at 2 weeks of age. Overall, the eyespot test is a promising alternative affective state test, but further studies exploring sex- and age-effects, are needed.
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Adumata, Kofi Agyemang. "Analysis of Affective State as Covariate in Human Gait Identification." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4584.

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There is an increased interest in the need for a noninvasive and nonintrusive biometric identification and recognition system such as Automatic Gait Identification (AGI) due to the rise in crime rates in the US, physical assaults, and global terrorism in public places. AGI, a biometric system based on human gait, can recognize people from a distance and current literature shows that AGI has a 95.75% success rate in a closely controlled laboratory environment. Also, this success rate does not take into consideration the effect of covariate factors such as affective state (mood state); and literature shows that there is a lack of understanding of the effect of affective state on gait biometrics. The purpose of this study was to determine the percent success rate of AGI in an uncontrolled outdoor environment with affective state as the main variable. Affective state was measured using the Profile of Mood State (POMS) scales. Other covariate factors such as footwear or clothes were not considered in this study. The theoretical framework that grounded this study was Murray's theory of total walking cycle. This study included the gait signature of 24 participants from a population of 62 individuals, sampled based on simple random sampling. This quantitative research used empirical methods and a Fourier Series Analysis. Results showed that AGI has a 75% percent success rate in an uncontrolled outdoor environment with affective state. This study contributes to social change by enhancing an understanding of the effect of affective state on gait biometrics for positive identification during and after a crime such as bank robbery when the use of facial identification from a surveillance camera is either not clear or not possible. This may also be used in other countries to detect suicide bombers from a distance.
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Evinc, Gulin S. "Maternal Personality Characteristics, Affective State, And Psychopathology In Relation To Children." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605566/index.pdf.

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This study aimed to examine the association between specific maternal characteristics (i.e., parents&rsquo
personality, depression, anxiety, affective state, and coping strategies) and childhood ADHD, Oppositional Defiant Disorder (ODD), and Conduct Disorder (CD) symptoms in children with and without the diagnosis of ADHD. Method: Data was obtained from 231 subjects including mothers of 77 children who were just diagnosed by Child Mental Health Departments of Hacettepe University or IMGE Child Mental Health Center and 154 children without any psychiatric diagnosis, who were receiving education from Nebahat Keskin Elementary School. Among 154 non-diagnosed subjects the ones who match best with the 77 ADHD group participants were chosen, considering ages of the children, income of the family, and education of the mother. Results and Discussion: (1) Psychometric Characteristics of the TBFI and CARSS were examined. The internal consistency coefficients of the TBFI varied from .51 (for Agreeableness) to .75 (for Neuroticism) and all subscales of CARSS had moderate to high degree of internal consistencies ranging from .65 (Conduct Disorder) to .92. (e.g., Attention Deficit). Additionally, concurrent validity of TBFI and criterion validity of CARSS were studied. Results revealed that TBFI had sufficient internal consistency and validity, and also revealed that CARSS was a highly reliable and valid measure, successfully differentiating the diagnosed group from the non-diagnosed group on each subscale. (2) Group differences on maternal characteristics were examined. Compared to non-diagnosed children, children with ADHD had mothers with higher Depression symptoms, higher Negative Affect, higher Neuroticism, lower Positive Affect. (3) Regression analyses, which were conducted separately for each group and the whole group, revealed that different maternal characteristics were associated with symptoms of diagnosed and non-diagnosed children. In general while symptom levels of children, who have ADHD diagnosis, was associated with higher maternal Negative and lower Positive Affect and higher Depression and Anxiety symptoms, and lower Extraversion scores
symptom level of Comparison children was associated more with Conscientiousness. These differences were explained by means of the fit between maternal characteristics and vulnerability, lower tolerance, lower adaptation, and compensation skills of children with ADHD (when compared to Comparison group). Results addressed the importance of maternal factors regarding its association with presence, and the severity of ADHD and comorbid symptoms of children.
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Gardner, Yun Hui. "Counselors' affective responses to childhood sexual abuse disclosure." Diss., Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-09072008-202450.

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Taylor, Lori Anne. "Cognitive function, affective state, and somatic symptoms related to blood sugar level." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26930.

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In an attempt to find out whether decreased blood sugar level is associated with impaired cognitive function, adverse emotional changes, or somatic symptoms, 36 subjects who believed or suspected that they had hypoglycemia were given 5-hour glucose tolerance tests (GTTs). After each of the nine blood samples taken during the GTT, the subject's mood, performance on the Serial Sevens Test (SST), and somatic symptom reports were recorded. The subjects reported significantly more negative affect after glucose nadir (the lowest level of blood sugar reached) than before nadir, and endorsed more somatic symptoms after nadir than before nadir. SST performance deteriorated at glucose nadir. All of these effects were more pronounced for subjects with high hypoglycemic index scores than for subjects with low index scores. The index is calculated from the speed and magnitude of the decrease in blood sugar, and the absolute value of the nadir. The impairment in SST performance was greater for subjects who showed rapid decreases in blood sugar than for subjects who showed slow decreases. Dividing subjects by high and low nadirs, large and small magnitudes of decrease, and by large and small decreases below fasting level, did not reveal any differences in symptomatology. It is concluded that changes in mood, reports of somatic symptoms, and inferior performance on a mental arithmetic task are associated with lowered blood sugar levels, especially in subjects with high hypoglycemic index scores.
Arts, Faculty of
Psychology, Department of
Graduate
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Day, Rachel Raedeke Tom. "Impact of Reading for Pleasure Versus School During Exercise on Affective State Responses." [Greenville, N.C.] : East Carolina University, 2010. http://hdl.handle.net/10342/2713.

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Books on the topic "Affective state"

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Suhail, Kausar. Seasonal variations in affective state in Asian and White populations. Birmingham: University of Birmingham, 1997.

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V, Clark Anita, ed. Mood state and health. New York: Nova Biomedical Books, 2005.

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Kai, Shiming. Modeling Student Affective State Patterns during Self-Regulated Learning in Physics Playground. [New York, N.Y.?]: [publisher not identified], 2019.

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Creating a caring classroom: A validated Washington State innovative education program. Longmont, CO: Sopris West, 1991.

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Yu, Sŏk-ch'un. Yugyo wa yŏn'go: Taehan Min'guk palchŏn ŭi sahoe, munhwajŏk tongnyŏk = The Korean economic developmental path : confucian tradition, affective network. Sŏul-si: Puk aen P'ip'ŭl, 2020.

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Educating for the 'new world order'. Portland, Or: Halcyon House, 1991.

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1949-, Clark David C., and Fawcett Jan 1934-, eds. Anhedonia and affect deficit states. New York: PMA Pub. Corp., 1987.

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Evans, Vicky Joy. Affective mood states and basketball performance. Sudbury, Ont: Laurentian University, Department of Psychology, 1986.

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Plimpton, Lisa. Key state TANF policies affecting microenterprise. Washington, DC: Aspen Institute, 2000.

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Mark, Shepard. 1987 legislation affecting state agency rulemaking authority. [St. Paul, Minn.]: Research Dept., Minnesota House of Representatives, 1987.

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Book chapters on the topic "Affective state"

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Scherrmann, Jean-Michel, Kim Wolff, Christine A. Franco, Marc N. Potenza, Tayfun Uzbay, Lisiane Bizarro, David C. S. Roberts, et al. "Affective State." In Encyclopedia of Psychopharmacology, 36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_672.

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Abrams, David B., J. Rick Turner, Linda C. Baumann, Alyssa Karel, Susan E. Collins, Katie Witkiewitz, Terry Fulmer, et al. "Affective State." In Encyclopedia of Behavioral Medicine, 52. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100046.

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Jacobsen, Sigurd Eid, and Kjetil Klette-Bøhler. "Affective citizenship." In Citizenship and Social Exclusion at the Margins of the Welfare State, 123–33. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003347279-11.

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Li, Dongdong, Yingchun Yang, Zhaohi Wu, and Tian Wu. "Emotion-State Conversion for Speaker Recognition." In Affective Computing and Intelligent Interaction, 403–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_52.

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Daly, Ian. "Affective Brain–Computer Interfacing and Methods for Affective State Detection." In Brain–Computer Interfaces Handbook, 147–64. Boca Raton : Taylor & Francis, CRC Press, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781351231954-8.

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Scherer, Klaus R., and Arvid Kappas. "Primate Vocal Expression of Affective State." In Primate Vocal Communication, 171–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73769-5_13.

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Case, Sue-Ellen. "The Affective Performance of State Love." In Performance, Feminism and Affect in Neoliberal Times, 15–23. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-59810-3_2.

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Kishimoto, Akira. "Prophylactic Efficacy of Carbamazepine in Affective Disorders." In Psychiatry the State of the Art, 473–77. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2363-1_74.

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Prendinger, H., H. Dohi, H. Wang, S. Mayer, and M. Ishizuka. "Empathic Embodied Interfaces: Addressing Users’ Affective State." In Lecture Notes in Computer Science, 53–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24842-2_6.

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Uhde, Thomas W., James C. Ballenger, and Robert M. Post. "Carbamazepine: Treatment of Affective Illness and Anxiety Syndromes." In Psychiatry the State of the Art, 479–84. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2363-1_75.

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Conference papers on the topic "Affective state"

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Pardos, Zachary A., Ryan S. J. D. Baker, Maria O. C. Z. San Pedro, Sujith M. Gowda, and Supreeth M. Gowda. "Affective states and state tests." In the Third International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2460296.2460320.

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Drosou, Anastasios, Dimitrios Giakoumis, and Dimitrios Tzovaras. "Affective state aware biometric recognition." In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2017. http://dx.doi.org/10.1109/ice.2017.8279940.

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Doyle, T. E., Z. Kucerovsky, and A. Ieta. "Affective State Control for Neuroprostheses." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260531.

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Doyle, T. E., Z. Kucerovsky, and A. Ieta. "Affective State Control for Neuroprostheses." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4397635.

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Reddy, R. Pradeep, P. Murali Krishna, Veena Narayanan, and S. Lalitha. "Affective State Recognition using Image Cues." In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2018. http://dx.doi.org/10.1109/icacci.2018.8554441.

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Zoghbi, Susana, Dana Kuliff, Elizabeth Croft, and Machiel Van der Loos. "On Line - affective state reporting device." In the 4th ACM/IEEE international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1514095.1514191.

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Abd Latif, M. H., H. Md. Yusof, S. N. Sidek, and N. Rusli. "Thermal imaging based affective state recognition." In 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS). IEEE, 2015. http://dx.doi.org/10.1109/iris.2015.7451614.

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Muriana, Luã Marcelo, José Valderlei d. Silva, Andressa Cristina dos Santos, and Maria Cecília C. Baranauskas. "Affective state, self-esteem and technology." In IHC '19: XVIII Brazilian Symposium on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357155.3358474.

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Ghazali, Aimi Shazwani, Shahrul Naim Sidek, and Saodah Wok. "Affective State Classification Using Bayesian Classifier." In 2014 5th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2014. http://dx.doi.org/10.1109/isms.2014.32.

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Rovinska, Svetlana, and Naimul Khan. "Affective State Recognition with Convolutional Autoencoders." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871958.

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Reports on the topic "Affective state"

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Morphett, Jane, Alexandra Whittaker, Amy Reichelt, and Mark Hutchinson. Perineuronal net structure as a non-cellular mechanism of affective state, a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0075.

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Is the perineuronal net structure within emotional processing brain regions associated with changes in affective state? The objective of this scoping review is to bring together the literature on human and animal studies which have measured perineuronal net structure in brain regions associated with emotional processing (such as but not limited to amygdala, hippocampus and prefrontal cortex). Perineuronal nets are a specialised form of condensed extracellular matrix that enwrap and protect neurons (Suttkus et al., 2016), regulate synaptic plasticity (Celio and Blumcke, 1994) and ion homeostasis (Morawski et al., 2015). Perineuronal nets are dynamic structures that are influenced by external and internal environmental shifts – for example, increasing in intensity and number in response to stressors (Blanco and Conant, 2021) and pharmacological agents (Riga et al., 2017). This review’s objective is to generate a compilation of existing knowledge regarding the structural changes of perineuronal nets in experimental studies that manipulate affective state, including those that alter environmental stressors. The outcomes will inform future research directions by elucidating non-cellular central nervous system mechanisms that underpin positive and negative emotional states. These methods may also be targets for manipulation to manage conditions of depression or promote wellbeing. Population: human and animal Condition: affective state as determined through validated behavioural assessment methods or established biomarkers. This includes both positive and negative affective states. Context: PNN structure, measuringPNNs.
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Chhan, David, and Vernon Lawhern. An Evaluation of Tabular Neural Network Approaches for Human Affective State Classification from Physiological Signals. DEVCOM Army Research Laboratory, October 2022. http://dx.doi.org/10.21236/ad1182171.

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Swannack, Robyn, Alys Young, and Claudine Storbeck. A scoping review of deaf sign language users’ perceptions and experiences of well-being in South Africa. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0082.

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Background: This scoping review concerns deaf adult sign language users from any country (e.g. users of South African Sign Language (SASL), British Sign Language (BSL), American Sign Language (ASL) and so forth). It concerns well-being understood to include subjective well-being and following the WHO’s (2001) definition of well-being as “mental health as a state of well-being in which every individual realises his or her own potential, can cope with the normal stresses of life, can work productively and fruitfully and is able to make a contribution to his or her community.” Well-being has three components (Steptoe, Deaton, and Stone, 2015; Stewart-Brown, Tennant, Tennant, Platt, Parkinson and Weich, 2009): (i) Live evaluation, also referred to life satisfaction, which concerns an individual’s evaluation of their life and their satisfaction with its quality and how good they feel about it; (ii) hedonic well-being which refers to everyday feelings or moods and focuses on affective components (feeling happy); (iii) eudaimonic well-being, which emphasises action, agency and self-actualisation (e.g. sense of control, personal growth, feelings of purpose and belonging) that includes judgments about the meaning of one’s life. Well-being is not defined as the absence of mental illness but rather as a positive state of flourishing that encompasses these three components. The review is not concerned with evidence concerning mental illness or psychiatric conditions amongst deaf signers. A specific concern is deaf sign language users’ perceptions and experiences of well-being.
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Campbell, William N. Factors Affecting the Defense-State Operational Partnership. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada370689.

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Holm, G. F. Canada - United States transboundary activities affecting Manitoba. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/298340.

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Popova, Marina, Victoria Chistova, and Alexandra Sherbakova. FACTORS AFFECTING HEALTH AND PROFESSIONAL ACTIVITIES OF TEACHERS IN SPHERE OF HIGHER EDUCATION. Science and Innovation Center Publishing House, 2019. http://dx.doi.org/10.12731/2658-6649-2019-11-3-2-58-64.

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The article is devoted to the health problem of teachers in the sphere of higher education. Professional factors which adversely affect the health of the teachers are discussed. It is concluded that it is necessary, from the position of an integrated approach, to study the health state of teachers in higher educational institutions and to develop measures to optimize it under current conditions.
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Turner, R. S., D. W. Johnson, J. N. Elwood, W. Van Winkle, R. B. Clapp, M. L. Jones, D. R. Marmarek, K. W. Thornton, S. A. Gherinig, and J. L. Schnoor. Factors affecting the long-term response of surface waters to acidic deposition: state-of-the-science. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/5808106.

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Afkhami, Shirin, and Máté Szalai. Evaluating the current state of the Saudi-Iranian reconciliation. Külügyi és Külgazdasági Intézet, 2021. http://dx.doi.org/10.47683/kkielemzesek.ke-2021.74.

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The article aims at assessing the current state of Saudi-Iranian relations and the reconciliation process taking place between the two Middle Eastern countries since 2021 by overviewing the main factors both on the domestic and international levels which can serve as either incentives for cooperation or obstacles. In the domestic realm, economic considerations are the primary drivers for both governments to get closer to each other. Regionally, the Yemeni conflict, Lebanese domestic politics, as well as the Iranian nuclear question are the most important issues affecting the process. In themselves, these factors are not enough to directly lead to a break-through in negotiations, which is why the reconciliation between Iran and Saudi Arabia continues to be unstable and uneven.
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Dolan, J. Daniel, and Angela Riegel. Proceedings, environmental issues affecting the forestry and forest products industries in the Eastern United States. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1996. http://dx.doi.org/10.2737/ne-gtr-219.

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Eisemann, Eve, Catherine Thomas, Matthew Balazik, Damarys Acevedo-Mackey, and Safra Altman. Environmental factors affecting coastal and estuarine submerged aquatic vegetation (SAV). Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42185.

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Submerged aquatic vegetation (SAV) growing in estuarine and coastal marine systems provides crucial ecosystem functions ranging from sediment stabilization to habitat and food for specific species. SAV systems, however, are sensitive to a number of environmental factors, both anthropogenic and natural. The most common limiting factors are light limitation, water quality, and salinity, as reported widely across the literature. These factors are controlled by a number of complex processes, however, varying greatly between systems and SAV populations. This report seeks to conduct an exhaustive examination of factors influencing estuarine and coastal marine SAV habitats and find the common threads that tie these ecosystems together. Studies relating SAV habitats in the United States to a variety of factors are reviewed here, including geomorphological and bathymetric characteristics, sediment dynamics, sedimentological characteristics, and water quality, as well as hydrologic regime and weather. Tools and methods used to assess each of these important factors are also reviewed. A better understanding of fundamental environmental factors that control SAV growth will provide crucial information for coastal restoration and engineering project planning in areas populated by SAVs.
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