Generalised and Versatile Connected Health Solution on the Zynq SoC

This chapter presents a generalized and versatile connected health solution for patient monitoring. It consists of a mobile system that can be used at home, an ambulance and a hospital. The system uses the Shimmer sensor device to collect three axes (x, y and z) accelerometer data as well as electrocardiogram signals. The accelerometer data is used to implement a fall detection system using the k-Nearest Neighbors classifier. The classification algorithm is implemented on various platform including a PC and the Zynq system on chip platform where both programmable logic and processing system of the Zynq are explored. In addition, the electrocardiogram signals are used to extract vital information, the signals are also encrypted using the Advanced Encryption Standard and sent wirelessly using Wi-Fi for further processing. Implementation results have shown that the best overall accuracy reaches 90% for the fall detection while meeting real-time performances when implemented on the Zynq and while using only 48% of Look-up Tables and 22% of Flip-Flops available on chip

Specification construction using equivalence relations and SMT solvers -

Thesis. M.S. American University of Beirut. Department of Computer Science, 2015. T:6332Advisor : Dr. Paul Attie, Associate Professor, Computer Science ; Members of Committee : Dr. Fadi Zaraket, Assistant Professor, Electrical and Computer Engineering ; Dr. Mohammad Jaber, Assistant Professor, Computer Science.Includes bibliographical references (leaf 48)We propose an approach to write formal specifications. Our approach partitions the (possibly infinite) state-space of the specification into a finite number of equivalence classes. The partition is defined by the equivalence relation induced by the valuations of a finite set of first-order logic formulae. Our work builds on existing work, which presents a method for writing specifications, along with a preliminary text-based implementation. In this thesis, we extend the current implementation with a graphical-user interface, and use this implementation to conduct experiments with the goal of demonstrating the value of the method by using it to write difficult and intricate specifications, and also using the experimental results as feedback for further improvements to the method

A spatial judgement task to determine background emotional state in laboratory rats (Rattus norvegicus)

Humans experiencing different background emotional states display contrasting cognitive (e.g. judgement) biases when responding to ambiguous stimuli. We have proposed that such biases may be used as indicators of animal emotional state. Here, we use a spatial judgement task, in which animals are trained to expect food in one location and not another, to determine whether rats in relatively positive or negative emotional states respond differently to ambiguous stimuli of intermediate spatial location. We housed 24 rats with environmental enrichment for seven weeks. Enrichment was removed for half the animals prior to the start of training (‘U’: unenriched) to induce a relatively negative emotional state, whilst being left in place for the remaining rats (‘E’: enriched). After six training days, the rats successfully discriminated between the rewarded and unrewarded locations in terms of an increased latency to arrive at the unrewarded location, with no housing treatment difference. The subjects then received three days of testing in which three ambiguous ‘probe’ locations, intermediate between the rewarded and unrewarded locations, were introduced. There was no difference between the treatments in the rats’ judgement of two out of the three probe locations, the exception being when the ambiguous probe was positioned closest to the unrewarded location. This result suggests that rats housed without enrichment, and in an assumed relatively negative emotional state, respond differently to an ambiguous stimulus compared to rats housed with enrichment, providing evidence that cognitive biases may be used to assess animal emotional state in a spatial judgement task

The Structure of Collective Violence Beliefs: Scale Development, Predictors, and Outcomes

This thesis offers a comprehensive examination of collective violence beliefs, its psychological underpinnings, and related behavioural manifestations. Across four empirical chapters, I delve into the multidimensional nature of these beliefs and their implications. Chapter 1 introduces the topic of collective violence by surveying the extensive existing literature, highlighting notable advancements, and identifying the research gap this thesis seeks to bridge. Chapter 2 presents a novel multidimensional scale, the Two-Dimensional Collective Violence Beliefs Scale (CVBS: 2D), developed across multiple contexts in Lebanon, Syria, and Turkey. This scale shifts from earlier emphases on the intensity of violent acts to the targets of such acts, offering a fresh perspective on understanding beliefs about collective violence. Chapter 3 explores the relationships between two intergroup ideologies, RWA and SDO, and support for these beliefs. Chapter 4 delves into the role of collective narcissism, especially national and sectarian variants, as predictors of collective violence beliefs in Lebanon, highlighting the impacts of different forms of narcissism on collective violence attitudes. Chapter 5, using a U.S. sample, probes the links between attitudes about collective violence and corresponding violent behaviours. Chapter 6 provides a comprehensive discussion on the results, outlining both the theoretical and practical contributions of the study. It delves into the research’s strengths and limitations, offers recommendations for future studies in the field, and examines the findings’ implications within broader contexts. Collectively, this thesis underscores the intricate nature of collective violence and proposes that a nuanced understanding of its beliefs, attitudes, and behaviours can inform and guide interventions in areas experiencing or on the brink of conflict

Can sleep and resting behaviours be used as indicators of welfare in shelter dogs (Canis lupusfamiliaris)?

Previous research on humans and animals suggests that the analysis of sleep patterns may reliably inform us about welfare status, but little research of this kind has been carried out for non-human animals in an applied context. This study explored the use of sleep and resting behaviour as indicators of welfare by describing the activity patterns of dogs (Canis lupus familiaris) housed in rescue shelters, and comparing their sleep patterns to other behavioural and cognitive measures of welfare. Sleep and activity patterns were observed over five non-consecutive days in a population of 15 dogs. Subsequently, the characteristics of sleep and resting behaviour were described and the impact of activity on patterns of sleep and resting behaviour analysed. Shelter dogs slept for 2.8% of the day, 14.3% less than previously reported and experienced less sleep fragmentation at night (32 sleep bouts). There were no statistically significant relationships between behaviours exhibited during the day and sleep behaviour. A higher proportion of daytime resting behaviour was significantly associated with a positive judgement bias, less repetitive behaviour and increased time spent coded as ‘relaxed’ across days by shelter staff. These results suggest that, in the context of a busy shelter environment, the ability to rest more during the day could be a sign of improved welfare. Considering the non-linear relationship between sleep and welfare in humans, the relationship between sleep and behavioural indicators of welfare, including judgement bias, in shelter dogs may be more complex than this study could detect

The Hypercoagulable State in COVID-19: Incidence, Pathophysiology, and Management

The 2019 coronavirus disease (COVID-19) presents with a large variety of clinical manifestations ranging from asymptomatic carrier state to severe respiratory distress, multiple organ dysfunction and death. While it was initially considered primarily a respiratory illness, rapidly accumulating data suggests that COVID-19 results in a unique, profoundly prothrombotic milieu leading to both arterial and venous thrombosis. Consistently, elevated D-dimer level has emerged as an independent risk factor for poor outcomes, including death. Several other laboratory markers and blood counts have also been associated with poor prognosis, possibly due to their connection to thrombosis. At present, the pathophysiology underlying the hypercoagulable state is poorly understood. However, a growing body of data suggests that the initial events occur in the lung. A severe inflammatory response, originating in the alveoli, triggers a dysfunctional cascade of inflammatory thrombosis in the pulmonary vasculature, leading to a state of local coagulopathy. This is followed, in patients with more severe disease, by a generalized hypercoagulable state that results in macro- and microvascular thrombosis. Of concern, is the observation that anticoagulation may be inadequate in many circumstances, highlighting the need for alternative or additional therapies. Numerous ongoing studies investigating the pathophysiology of the COVID-19 associated coagulopathy may provide mechanistic insights that can direct appropriate interventional strategies

Bestial boredom: a biological perspective on animal boredom and suggestions for its scientific investigation

Boredom is likely to have adaptive value in motivating exploration and learning, and many animals may possess the basic neurological mechanisms to support it. Chronic inescapable boredom can be extremely aversive, and understimulation can harm neural, cognitive and behavioural flexibility. Wild and domesticated animals are at particular risk in captivity, which is often spatially and temporally monotonous. Yet biological research into boredom has barely begun, despite having important implications for animal welfare, the evolution of motivation and cognition, and for human dysfunction at individual and societal levels. Here I aim to facilitate hypotheses about how monotony affects behaviour and physiology, so that boredom can be objectively studied by ethologists and other scientists. I cover valence (pleasantness) and arousal (wakefulness) qualities of boredom, because both can be measured, and I suggest boredom includes suboptimal arousal and aversion to monotony. Because the suboptimal arousal during boredom is aversive, individuals will resist low arousal. Thus, behavioural indicators of boredom will, seemingly paradoxically, include signs of increasing drowsiness, alongside bouts of restlessness, avoidance and sensation-seeking behaviour. Valence and arousal are not, however, sufficient to fully describe boredom. For example, human boredom is further characterized by a perception that time ‘drags’, and this effect of monotony on time perception can too be behaviourally assayed in animals. Sleep disruption and some abnormal behaviour may also be caused by boredom. Ethological research into this emotional phenomenon will deepen understanding of its causes, development, function and evolution, and will enable evidence-based interventions to mitigate human and animal boredom

Prevalence of Body Dysmorphic Disorder (BDD) among the Lebanese University students: Associated risk factors and repercussion on mental health

Background: Body Dysmorphic Disorder (BDD) is a psychological illness characterized by persistent and intrusive preoccupation with an imagined or slight defect in appearance. For individuals with BDD, these perceived defects are significant and prominent, leading to emotional distress, depression, anxiety, and impairment in daily functioning. Despite its impact, no prior studies have explored the prevalence of BDD among Lebanese university students. Objectives: This study aimed to determine the prevalence of BDD and investigate its association with mental health status (depression and anxiety), religiosity, eating disorder risk, and self-esteem among Lebanese University students.  Methodology: A cross-sectional study was conducted in March 2020, involving students from the Lebanese University. Data were collected using the dysmorphic concern questionnaire (DCQ), Rosenberg self-esteem scale (RSE), religiosity scale, patient health questionnaire (PHQ-9), generalized anxiety disorder assessment (GAD-7), Eating Attitude test-26 scale (EAT-26). Results: A total of 6448 participants were enrolled in our study. The overall prevalence of BDD among university students was (6.4%).Our results showed that Lebanese students with BDD were more likely to have anxiety ORadj 1.3 (95% CI:1.2-1.7) p-value 0.001, depression ORadj 1.2 (95% C:1.15-1.5) p-value 0.007, and eating disorder (Bulimia & Food preoccupation ORadj 1.06 (95% CI:1.03-1.2) P-value 0.0, and oral control ORadj 1.09 (95% CI:1.05-1.1)  P-value < 0.001) compared to those with no BDD. We also found that students with BDD had Lower Self-esteem ORadj 0.88 (95%CI: 0.78-0.9) P-value <0.001), and less likely to be religious ORadj 0.88 (95%CI: 0.82-0.9) P-value 0.02) compared to those with no BDD. Conclusion: This pioneering study in Lebanon sheds light on the prevalence of BDD among Lebanese university students and its associated factors. BDD was found to be significantly linked to elevated levels of depression, anxiety, and eating disorders, along with lower levels of self-esteem and religiosity. These findings underscore the importance of early detection of BDD during adolescence and young adulthood, necessitating timely psychological intervention to prevent chronicity and complications. Moreover, promoting widespread awareness through various social media and public platforms is essential to address this psychological issue effectively