Daytime cognitive performance and sleep/wake cycles are strongly interrelated, and cognitive dysfunction has been extensively investigated in relation to insomnia. However, methods and outcomes vary widely by study, making comparison difficult without more systematic evaluation. Review of the literature reveals discrepant findings for the relationship between both subjective and objective measures of cognitive performance and insomnia. The current meta-analysis included 42 studies investigating the relationship between insomnia and cognitive performance. Results confirmed the discrepant nature of previous findings and suggest that type of cognitive performance (e.g., simple attention, procedural memory, verbal functions) is important to consider when discussing the impact of insomnia. Mixed-effect meta-analysis of aggregate effect sizes suggest impairments in working memory, complex attention, and episodic memory are significantly associated with insomnia. Analysis of the grouped subjective cognitive performance effect size revealed no significant impact of insomnia. Average age and gender makeup of the sample, study quality, and type of insomnia measure (i.e., clinical or diagnostic criteria, validated scale, or single unvalidated item) did not consistently moderate findings. These results confirm the equivocal nature of the relationship between insomnia and cognitive performance. Overall, about 44% of the studies included in the analysis failed to use DSM or ICSD criteria …

Retail clinics are walk-in clinics designed for convenience and for servicing minor health issues and certain acute conditions. The model began as a way of bringing both convenience and care to areas that have lower levels of access to primary care resources. With the implementation of Affordable Care Act (ACA) in March 2010, populations that were previously uninsured were now required to have access to some level of health insurance. These populations presented a potential new market for retail clinics. This research shows that post implementation of the ACA, retail clinics tend to locate in areas with higher incomes and, generally, greater access to primary care.

To better understand the impact of type 2 diabetes, the relationship between ethnicity, specifically Mexican/Mexican American ethnicity, and the disease must be further investigated. This study specifically examined the cognitive impact of type 2 diabetes. Data from the 2014 Health and Retirement Study was used to compare the cognitive functioning of non-Hispanic White (n = 10,658) and White Mexican/Mexican American (n = 847) individuals, age 50+ years, with and without type 2 diabetes. Serial 7's and immediate and delayed recall—hypothesized to be more negatively affected by type 2 diabetes and Mexican American status—was compared controlling for age, education, and depression. A multivariate analysis of covariance (MANCOVA) indicated significant main effects for race/ethnicity (F(3,11496) = 11.15, p < .001) and diabetes status (F(3,11496) = 3.15, p < .024), with Mexican Americans and those with diabetes having worse cognitive performance. There were significant effects for all covariates. A step-wise multiple regression indicated that education, age, depression, race/ethnicity and diabetes status accounted for a combined 28.4% of variance in a cognitive performance composite. Implications for assessment and treatment are discussed.

Has years of citizen-based nutrient sampling and baseline water quality monitoring efforts only had a "trivial" impact on natural resource management decisions? This thesis will explore this and other findings from a qualitative evaluation of the Rock River Coalition (RRC) citizen-based stream monitoring project in Dane County, Wisconsin, USA. These findings are the culmination of 47 semi-structured interviews with decision-makers from seven client-identified categories and participant observations of board meetings and other watershed groups. Interview questions focused on current strategies of data design and dissemination with the goal of constructing a clearer picture of existing data usage by Dane County decision-makers. In the wider picture of citizen science and community-based research, this case study aims to highlight barriers to data use and potential solutions. The results of this case study were understood through four key frames: (1) Bourdieu's concept of symbolic capital, (2) Barzilai‐Nahon's theory of network gatekeeping, (3) Newman et al.'s framework for leveraging the power of place, and (4) a Foucauldian approach to the production of scientific knowledge. The findings of this study highlight the presence of gatekeeping mechanisms within the scientific field as well as government institutions, problematize the practice of placemaking, assert there is untapped symbolic …

An interrogation of male behavior in isolated masculine spaces through short stories, an essay, and chapters from a novel-in-progress.

This study examined the relationships between the six benefit types and customer loyalty through trust and satisfaction in integrated resorts. A self-administered survey was developed based on previous studies in customer loyalty and was distributed through e-Reward online survey panel. The findings showed that only financial gaming benefits, functional gaming benefits, and psychological non-gaming benefits had impacts on customer attitudinal loyalty and customer behavioral loyalty through trust and satisfaction in integrated resorts. Besides, functional gaming benefits had the most influence on customer loyalty through trust and satisfaction. This study extended existing literature in integrated resorts by showing that benefit types in a loyalty program can build customer attitudinal loyalty and customer behavioral loyalty in integrated resorts. This study also examined different types of benefits affect customer loyalty in different degrees. For operators of integrated resorts, understanding how different benefits of a loyalty program affect customer loyalty will allow them to modify their loyalty programs effectively to increase revenue and maintain customers.

Ulcerative colitis (UC) is a chronic inflammatory disease characterized by periods of relapses and remissions affecting more than 500,000 people in the United States. To achieve the therapeutic goals of UC, which are to first induce and then maintain disease remission, doctors need to evaluate the severity of UC of a patient. However, it is very difficult to evaluate the severity of UC objectively because of non-uniform nature of symptoms and large variations in their patterns. To address this, in our previous works, we developed two different approaches in which one is using the image textures, and the other is using CNN (convolutional neural network) to measure and classify objectively the severity of UC presented in optical colonoscopy video frames. But, we found that the image texture based approach could not handle larger number of variations in their patterns, and the CNN based approach could not achieve very high accuracy. In this paper, we improve our CNN based approach in two ways to provide better accuracy for the classification. We add more thorough and essential preprocessing, and generate more classes to accommodate large variations in their patterns. The experimental results show that the proposed preprocessing can improve the overall accuracy …

Collection of poems.

Consumer's opinions and sentiments on products can reflect the performance of products in general or in various aspects. Analyzing these data is becoming feasible, considering the availability of immense data and the power of natural language processing. However, retailers have not taken full advantage of online comments. This work is dedicated to a solution for automatically analyzing and summarizing these valuable data at both product and category levels. In this research, a system was developed to retrieve and analyze extensive data from public online resources. A parallel framework was created to make this system extensible and efficient. In this framework, a star topological network was adopted in which each computing unit was assigned to retrieve a fraction of data and to assess sentiment. Finally, the preprocessed data were collected and summarized by the central machine which generates the final result that can be rendered through a web interface. The system was designed to have sound performance, robustness, manageability, extensibility, and accuracy.

This thesis presents a research effort aimed at developing using construction methods and techniques in army tactical shelter. The beginning step focuses on developing and identifying different activities and work breakdown structure applicable in shelter prototype. The next step focuses on identifying resource allocation. This include allocate resources based on the delivered project as per alternative one and for the second alternative as optimization, resource allocation modified and tried to level and minimize resource peak. In addition, the cost calculated for the whole project as well as for each WBS and activities which consider as alternative one and in the second alternative, cost mitigation applied according to available resources and adjusting predecessors and successors of each activity. In conclusion, two alternatives compared, available outcome presents, and future work suggested for the project team to continue this effort.

High entropy alloys (HEAs) are a new class of solid solution alloys that contain multiple principal elements and possess excellent mechanical properties, from corrosion resistance to fatigue and wear resistance. Even more recently, twinning induced plasticity (TWIP) and transformation induced plasticity (TRIP) non-equiatomic high entropy alloys have been engineered, promising increased strength and ductility as compared to their equiatomic counterparts. However, impact and fracture resistance of these HEAs has not been studied as much as their other mechanical properties. In this thesis, the hardness, tensile properties, and Charpy impact energy of Al0.3CoCrFeNi, a TWIP HEA, and 50Fe-30Mn-10Co-10Cr (at.%), a TRIP HEA, was explored. First, three processing conditions, (1) as-received, (2) recrystallized, and (3) peak hardness, were chosen for each alloy and verified with Vickers microhardness measurements. Next, the tensile properties of each alloy and condition were investigated. Charpy impact specimen size was then selected based on the final plate thickness, and the machined samples were tested. Plastic zone size and change in sample thickness in the deformed region of each condition after testing was measured. Post-impact test inspection of the samples in all conditions showed that the samples were in tension near the V-notch root and in compression at the …