9,979 research outputs found
The Influence of Neuroendocrine and Genetic Markers of Stress on Cognitive Processing and Intrusive Symptoms
This body of research investigated the influence of neuroendocrine and genetic elements of arousal on cognitive processes in the development of intrusive memories and flash-forward intrusions as related to Post-Traumatic Stress Disorder. Specifically, this thesis investigated various mechanisms that may underlie intrusive symptoms as postulated by prevalent theories of PTSD. Study 1 examined the distinctive relationship between peritraumatic dissociation and subsequent re-experiencing symptoms. Network analyses revealed strong positive edges between peritraumatic dissociation and subsequent amnesia, as well as the re-experiencing symptoms of physical reactivity to reminders, flashbacks, intrusions, and dreams, and to a lesser extent emotional numbness and hypervigilance. The finding that peritraumatic dissociation is related to subsequent re-experiencing symptoms is consistent with cognitive models that emphasize the role of dissociative experiences during a traumatic event in the etiology of PTSD re-experiencing symptoms. Study 2 aimed to determine whether peri-traumatic stress, as measured via salivary cortisol and salivary alpha-amylase, as well as pre-existing genetic polymorphisms on the FKBP5 gene increased dissociation and data-driven processing, and subsequently impacted intrusive memories related to a trauma film. The findings revealed that greater noradrenergic arousal predicted less intrusive memory distress in individuals who scored higher on data-driven processing and trait dissociation, and in FKBP5 low-risk carriers. For individuals who reported less data-driven processing and trait dissociation, and in FKBP5 high-risk carriers, as noradrenergic arousal increased, intrusive memory distress increased. This study also showed no association between data-driven processing with memory fragmentation, and fragmentation with intrusive memories. Whilst these findings support some aspect of cognitive models of PTSD as they indicate a role for data-driven processing and dissociation in intrusive symptoms, they highlight a threshold at which these variables stop moderating the relationship between arousal and intrusive memories and suggest that memory fragmentation is not related to intrusive memories. Study 3 examined the role of cognitive control in flash-forward intrusions in the context of an enduring stressor, the COVID-19 pandemic. In line with expectations, results showed that as cognitive control worsened, FKBP5 high-risk carriers reported more flash-forward distress, and low-risk carriers reported less distress. These findings are considered in the context of hippocampal changes and are consistent with emerging theories of PTSD. Lastly, study 4 sought to investigate the role of two neurological processes, pattern separation and pattern completion in intrusive memories in individuals with PTSD compared to trauma exposed controls. Consistent with existing literature, the data indicate that individuals with PTSD reported more data-driven processing, more intrusive symptoms, and demonstrated better behavioural pattern completion than trauma-exposed controls. These findings are in line with current cognitive models of PTSD, as they again indicate a role for data-driven processing in PTSD. However, study 4 found no support for the postulate that deficient pattern separation is a feature of PTSD and found an opposite effect for the role of pattern completion. Whilst these findings are inconsistent with theory, they are in line with existing experimental studies. Overall, the findings from this thesis provide insight into cognitive and biological models of PTSD and shed light on the mechanisms underlying the nature and development of intrusive symptoms
Early Shame, Self-Esteem, and Christian Women
The purpose of this phenomenological study was to gain a deeper understanding of the lived experiences surrounding the self-esteem of evangelical Christian women with early shame experiences. The theory guiding this study was attachment theory as it explains self-esteem being rooted in early childhood through trust building, unconditional love, and security. The theoretical framework further illustrates the impact of self-esteem as life progresses due to a combination of positive and negative self-evaluations. Early shame experiences affect one’s self-esteem adversely. Low self-esteem could breed isolation once people fail to see their self-worthy in establishing meaningful connections, without which individuals lack the nurture needed to grow and sustain their well-being. Data were collected through an unstructured interview. The study findings revealed that (1) poor parental bonds, (2) environmental stressors, and (3) identification with God were significant shared experiences. This study provided implications for community stakeholders in the field of education, healthcare, and ministry. It implied having an early secure attachment and a positive relationship with God as mitigators to adverse mental health, as they facilitate healthy coping among individuals who have faced trauma such as early shame experiences
Endogenous measures for contextualising large-scale social phenomena: a corpus-based method for mediated public discourse
This work presents an interdisciplinary methodology for developing endogenous measures of group membership through analysis of pervasive linguistic patterns in public discourse. Focusing on political discourse, this work critiques the conventional approach to the study of political participation, which is premised on decontextualised, exogenous measures to characterise groups. Considering the theoretical and empirical weaknesses of decontextualised approaches to large-scale social phenomena, this work suggests that contextualisation using endogenous measures might provide a complementary perspective to mitigate such weaknesses.
This work develops a sociomaterial perspective on political participation in mediated discourse as affiliatory action performed through language. While the affiliatory function of language is often performed consciously (such as statements of identity), this work is concerned with unconscious features (such as patterns in lexis and grammar). This work argues that pervasive patterns in such features that emerge through socialisation are resistant to change and manipulation, and thus might serve as endogenous measures of sociopolitical contexts, and thus of groups.
In terms of method, the work takes a corpus-based approach to the analysis of data from the Twitter messaging service whereby patterns in users’ speech are examined statistically in order to trace potential community membership. The method is applied in the US state of Michigan during the second half of 2018—6 November having been the date of midterm (i.e. non-Presidential) elections in the United States. The corpus is assembled from the original posts of 5,889 users, who are nominally geolocalised to 417 municipalities. These users are clustered according to pervasive language features. Comparing the linguistic clusters according to the municipalities they represent finds that there are regular sociodemographic differentials across clusters. This is understood as an indication of social structure, suggesting that endogenous measures derived from pervasive patterns in language may indeed offer a complementary, contextualised perspective on large-scale social phenomena
“I’ve Been Working My Ass Off For You To Make That Profit”: Fundamental Information for The Self-Advocation of Emerging Artists
This thesis recognizes the inequity and lack of business autonomy afforded to artists within the greater art market, due in part to socio-economic barriers to entry and professional misconceptions perpetuated through romanticized narratives. Emerging artists are denied accessible forms of education and the relevant tools to develop strong business and marketing skills for entrepreneurial success; competitive atmospheres discourage mentorships at high levels of influence and leave many mid-career and established artists with professional self-reproach.Results from original surveys and interviews present a cross-section of the artistic profession spanning age, gender, race, ethnicity, medium and level of experience to be analyzed. Under the guarantee of anonymity, experienced artists provide raw insight through hindsight bias and emerging artists share points of perturbation through lingering uncertainties. A general unfamiliarity and discomfort with art business concepts and their autonomous applications was documented by most respondents. Creating an accessible, comprehensive collection of referencematerials outlining the interrelated duties between common market entities, prevalent risks posed to emerging artists and the attributes indicative of sustainable market structures will provide emerging artists with a stable base from which to continue their career growth and self-advocacy
Anuário científico da Escola Superior de Tecnologia da Saúde de Lisboa - 2021
É com grande prazer que apresentamos a mais recente edição (a 11.ª) do Anuário Científico da Escola Superior de Tecnologia da Saúde de Lisboa. Como instituição de ensino superior, temos o compromisso de promover e incentivar a pesquisa científica em todas as áreas do conhecimento que contemplam a nossa missão. Esta publicação tem como objetivo divulgar toda a produção científica desenvolvida pelos Professores, Investigadores, Estudantes e Pessoal não Docente da ESTeSL durante 2021. Este Anuário é, assim, o reflexo do trabalho árduo e dedicado da nossa comunidade, que se empenhou na produção de conteúdo científico de elevada qualidade e partilhada com a Sociedade na forma de livros, capítulos de livros, artigos publicados em revistas nacionais e internacionais, resumos de comunicações orais e pósteres, bem como resultado dos trabalhos de 1º e 2º ciclo. Com isto, o conteúdo desta publicação abrange uma ampla variedade de tópicos, desde temas mais fundamentais até estudos de aplicação prática em contextos específicos de Saúde, refletindo desta forma a pluralidade e diversidade de áreas que definem, e tornam única, a ESTeSL. Acreditamos que a investigação e pesquisa científica é um eixo fundamental para o desenvolvimento da sociedade e é por isso que incentivamos os nossos estudantes a envolverem-se em atividades de pesquisa e prática baseada na evidência desde o início dos seus estudos na ESTeSL. Esta publicação é um exemplo do sucesso desses esforços, sendo a maior de sempre, o que faz com que estejamos muito orgulhosos em partilhar os resultados e descobertas dos nossos investigadores com a comunidade científica e o público em geral. Esperamos que este Anuário inspire e motive outros estudantes, profissionais de saúde, professores e outros colaboradores a continuarem a explorar novas ideias e contribuir para o avanço da ciência e da tecnologia no corpo de conhecimento próprio das áreas que compõe a ESTeSL. Agradecemos a todos os envolvidos na produção deste anuário e desejamos uma leitura inspiradora e agradável.info:eu-repo/semantics/publishedVersio
A Practical Framework for Storing and Searching Encrypted Data on Cloud Storage
Security has become a significant concern with the increased popularity of
cloud storage services. It comes with the vulnerability of being accessed by
third parties. Security is one of the major hurdles in the cloud server for the
user when the user data that reside in local storage is outsourced to the
cloud. It has given rise to security concerns involved in data confidentiality
even after the deletion of data from cloud storage. Though, it raises a serious
problem when the encrypted data needs to be shared with more people than the
data owner initially designated. However, searching on encrypted data is a
fundamental issue in cloud storage. The method of searching over encrypted data
represents a significant challenge in the cloud.
Searchable encryption allows a cloud server to conduct a search over
encrypted data on behalf of the data users without learning the underlying
plaintexts. While many academic SE schemes show provable security, they usually
expose some query information, making them less practical, weak in usability,
and challenging to deploy. Also, sharing encrypted data with other authorized
users must provide each document's secret key. However, this way has many
limitations due to the difficulty of key management and distribution.
We have designed the system using the existing cryptographic approaches,
ensuring the search on encrypted data over the cloud. The primary focus of our
proposed model is to ensure user privacy and security through a less
computationally intensive, user-friendly system with a trusted third party
entity. To demonstrate our proposed model, we have implemented a web
application called CryptoSearch as an overlay system on top of a well-known
cloud storage domain. It exhibits secure search on encrypted data with no
compromise to the user-friendliness and the scheme's functional performance in
real-world applications.Comment: 146 Pages, Master's Thesis, 6 Chapters, 96 Figures, 11 Table
Science and corporeal religion: a feminist materialist reconsideration of gender/sex diversity in religiosity
This dissertation develops a feminist materialist interpretation of the role the neuroendocrine system plays in the development of gender/sex differences in religion. Data emerging from psychology, sociology, and cognitive science have continually indicated that women are more religious than men, in various senses of those contested terms, but the factors contributing to these findings are little understood and disciplinary perspectives are often unhelpfully siloed. Previous scholarship has tended to highlight socio-cultural factors while ignoring biological factors or to focus on biological factors while relying on problematic and unsubstantiated gender stereotypes. Addressing gender/sex difference is vital for understanding religion and how we study it. This dissertation interprets this difference by means of a multidisciplinary theoretical and methodological approach. This approach builds upon insights from the cognitive and evolutionary science of religion, affect theory and affective neuroscience, and social neuroendocrinology, and it is rooted in the foundational insights of feminist materialism, including that cultural and micro-sociological forces are inseparable from biological materiality. The dissertation shows how a better way of understanding gender/sex differences in religion emerges through focusing on the co-construction of biological materiality and cultural meanings. This includes deploying a gene-culture co-evolutionary explanation of ultrasociality and an understanding of the biology of performativity to argue that religious behavior and temperaments emerge from the enactment and hormonal underpinnings of six affective adaptive desires: the desires for (1) bonding and attachment, (2) communal mythos, (3) deliverance from suffering, (4) purpose, (5) understanding, and (6) reliable leadership. By hypothesizing the patterns of hormonal release and activation associated with ritualized affects—primarily considering oxytocin, testosterone, vasopressin, estrogen, dopamine, and serotonin—the dissertation theorizes four dimensions of religious temperament: (1) nurturant religiosity, (2) ecstatic religiosity, (3) protective/hierarchical religiosity, and (4) antagonistic religiosity. This dissertation conceptualizes hormones as chemical messengers that enable the diversity emerging from the imbrication of physical materiality and socio-cultural forces. In doing so, it demonstrates how hormonal aspects of gender/sex and culturally constructed aspects of gender/sex are always already intertwined in their influence on religiosity. This theoretical framework sheds light on both the diversity and the noticeable patterns observed in gender/sex differences in religious behaviors and affects. This problematizes the terms of the “women are more religious than men” while putting in place a more adequate framework for interpreting the variety of ways it appears in human lives
COVID-19 Outbreak and Beyond
The COVID-19 pandemic drastically changed our lifestyle when, on 30 January 2020, the World Health Organization declared the coronavirus disease outbreak a public health emergency of international concern. Since then, many governments have introduced unprecedented containment measures, hoping to slow the spread of the virus. International research suggests that both the pandemic and the related protective measures, such as lockdown, curfews, and social distancing, are having a profound impact on the mental health of the population. Among the most commonly observed psychological effects, there are high levels of stress, anxiety, depression, and post-traumatic symptoms, along with boredom and frustration. At the same time, the behavioral response of the population is of paramount importance to successfully contain the outbreak, creating a vicious circle in which the psychological distress impacts the willingness to comply with the protective measures, which, in turn, if prolonged, could exacerbate the population’s distress. This book includes: i) original studies on the worldwide psychological and behavioral impact of COVID-19 on targeted individuals (e.g., parents, social workers, patients affected by physical and mental disorders); ii) studies exploring the effect of COVID-19 using advanced statistical and methodological techniques (e.g., machine learning technologies); iii) research on practical applications that could help identify persons at risk, mitigate the negative effects of this situation, and offer insights to policymakers to manage the pandemic are also highly welcomed
The Multifaceted Nature of Food and Nutrition Insecurity around the World and Foodservice Business
The international concept of food security is a situation where all people have physical, social, and economic access at all times to sufficient, safe, and nutritious food that meets their dietary needs and food preferences for an active and healthy life. All four parameters (availability, access, utilization, and stability) should therefore be measured to determine food security status.Taking into account these premises, this book aims to present original research articles and reviews concerning the following: Agriculture and food security; Agri-tourism and its potential to assist with food security; Business–science cooperation to advance food security; Competing demands and tradeoffs for land and water resources; Consumer behavior, nutritional security and food assistance programs; Food and health; Global and local analyses of food security and its drivers; Global governance and food security; Infectious and non-infectious diseases and food security; Reducing food loss and waste; Reducing risks to food production and distribution from climate change; Supply chains and food security; Technological breakthroughs to help feed the globe; Tourism food security relationship; Urbanization, food value chains, and the sustainable, secure sourcing of food; Food and service quality at food catering establishments; Consumer behavior at foodservice operations (restaurants, cafés, hotels)
User mobility prediction and management using machine learning
The next generation mobile networks (NGMNs) are envisioned to overcome current user mobility limitations while improving the network performance. Some of the limitations envisioned for mobility management in the future mobile networks are: addressing the massive traffic growth bottlenecks; providing better quality and experience to end users; supporting ultra high data rates; ensuring ultra low latency, seamless handover (HOs) from one base station (BS) to another, etc. Thus, in order for future networks to manage users mobility through all of the stringent limitations mentioned, artificial intelligence (AI) is deemed to play a key role automating end-to-end process through machine learning (ML).
The objectives of this thesis are to explore user mobility predictions and management use-cases using ML. First, background and literature review is presented which covers, current mobile networks overview, and ML-driven applications to enable user’s mobility and management. Followed by the use-cases of mobility prediction in dense mobile networks are analysed and optimised with the use of ML algorithms. The overall framework test accuracy of 91.17% was obtained in comparison to all other mobility prediction algorithms through artificial neural network (ANN). Furthermore, a concept of mobility prediction-based energy consumption is discussed to automate and classify user’s mobility and reduce carbon emissions under smart city transportation achieving 98.82% with k-nearest neighbour (KNN) classifier as an optimal result along with 31.83% energy savings gain. Finally, context-aware handover (HO) skipping scenario is analysed in order to improve over all quality of service (QoS) as a framework of mobility management in next generation networks (NGNs). The framework relies on passenger mobility, trains trajectory, travelling time and frequency, network load and signal ratio data in cardinal directions i.e, North, East, West, and South (NEWS) achieving optimum result of 94.51% through support vector machine (SVM) classifier. These results were fed into HO skipping techniques to analyse, coverage probability, throughput, and HO cost. This work is extended by blockchain-enabled privacy preservation mechanism to provide end-to-end secure platform throughout train passengers mobility
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