In recent years, communities that source raw water from the Dan River experienced two severe and unprecedented outbreaks of unpleasant tastes and odors in their drinking water. During both TandO events strong 'earthy', 'musty' odors were reported, but the source was not identified. The first TandO event began in early February, 2015 and coincided with an algal bloom in the Dan River. The algal bloom was thought to be the cause, but after the bloom dissipated, odors persisted until May 2015. The second TandO in October, 2015 did not coincide with observed algal blooms. On February 2, 2014 approximately 39,000 tons of coal ash from a Duke Energy coal ash pond was spilled into the Dan River near Eden, NC. As there were no documented TandO events before the spill, there is concern the coal ash adversely impacted water quality and biological communities in the Dan River leading to the TandO events. In addition to the coal ash spill, years of industrial and agricultural activity in the Dan River area may have contributed to the TandO events. The purpose of this research was to elucidate causes of the two TandO events and provide guidance to prevent future problems. Monthly water samples were collected from August, 2016 to September, 2017 from twelve sites along the Dan and Smith Rivers. Multivariate analyses were applied to look for underlying factors, spatial or temporal trends in the data. There were no reported TandO events during the project but sensory analysis, Flavor Profile Analysis, characterized earthy/musty odors present. No temporal or spatial trends of odors were observed. Seven earthy/musty odorants commonly associated with TandO events were detected. Odor intensity was mainly driven by geosmin, but no relationship between strong odors and odorants was observed. / Master of Science / In recent years, communities that source water from the Dan River experienced two severe and unprecedented outbreaks of unpleasant tastes and odors (T&O) in their drinking water. During both odor events strong ‘earthy’, ‘musty’ odors were reported, but the source was not identified. The first event began in early February, 2015 and coincided with an algal bloom in the Dan River. The algal bloom was thought to be the cause, but after the bloom dissipated, odors persisted until May 2015. The odors returned in October, 2015 but did not coincide with an algal bloom. On February 2, 2014 approximately 39,000 tons of coal ash from a Duke Energy coal ash pond was spilled into the Dan River near Eden, NC. As no documented odor events occurred before the spill, there is concern the coal ash adversely impacted the water quality in the Dan River leading to the odor events. The purpose of this research was to elucidate causes of the two odor events and provide guidance to prevent future problems. Monthly water samples were collected from August, 2016 to September, 2017 from twelve sites along the Dan and Smith Rivers. Multivariate analyses were applied to look for important factors. There were no reported odor events during the project but sensory analysis characterized earthy/musty odors present. No temporal or spatial trends of odors were observed. Seven earthy/musty odorants commonly associated with odor events were detected.

Recent literature has noted that not all youth who experience adverse circumstances (e.g. poverty, exposure to violence, maltreatment) end up displaying expected unfavorable outcomes (e.g. academic failure, depression, drug dependence); in fact, some youth display “resilience,” broadly understood as adaptive functioning in the face of adversity (Luthar, Cicchetti, & Becker, 2000). Overall, research on resilience has offered a new approach to the study of at-risk populations, emphasizing the study of strengths, processes, and mechanisms among individuals and communities that may favor positive adaptation, rather than emphasizing deficits among those experiencing adversity (Schoon, 2012). Although resilience research has come a long way, the importance of cultural processes in resilience only recently has been considered, there is still a dearth of studies among diverse contexts and cultural groups (Betancourt et al., 2011), and there is a lack of prospective analyses examining the stability of resilience over time (O’Dougherty et al., 2015). The present study examined the existence of profiles of adjustment among youth who had experienced some kind of adversity in three contexts: (1) Medellin, Colombia (n = 967); (2) Guatemala (n = 2.470); and (3) Chicago, USA (n=491), as well as protective factors associated with profile classification. Furthermore, the continuity of profiles over time was examined in the Chicago sample. Results showed that for each context, diverse profiles of adjustment emerge in the presence of adversity. For all contexts some youth were classified as either resilient (defined as scoring 1 SD above or below the mean on selected indicators) or as holding steady (scoring above the mean but less than 1 SD). Profiles exhibiting high levels of internalizing symptoms, externalizing problems, or problems across domains also were identified across contexts. Protective factors at the individual (e.g. sex, intelligence, prosocial behavior) and at the contextual (e.g. family cohesion, prosocial peers, positive relationship with teacher) levels proved relevant for profile classification, with some factors being relevant in one context but not in another. Prospective analyses revealed both continuity and discontinuity in profile classification among youth in Chicago, with some youth remaining classified in the same group across time points, whereas others transitioned between groups. These results highlight the importance of studying resilience in context, given that what constitutes a salient protective factor for some youth may not be relevant for others. Moreover, these results show that as youth negotiate developmental tasks within their ecologies, there is potential for both continuity and discontinuity in resilience processes. The results can inform prevention and intervention efforts aiming to work from a strength based approach.

Industry surveys indicated that up to 16percent of pork is pale, soft, and exudative (PSE); which has reduced functionality. Recently, the cost of sodium phosphates (SP) has escalated. SPs are used to improve water holding capacity (WHC), increase pH, and retard lipid oxidation. Alkaline non-meat ingredient addition could improve PSE pork functionality and replace SP in pork products. The objective was to examine effects of alkaline solutions on pH, color, WHC, and texture of PSE and normal pork gels. Normal (pH 5.6-5.9) and PSE (pH ≤ 5.4) loins were obtained and homogenized. Treatment solutions were: no added solution (control); double-distilled deionized water (ddW); 0.1, 0.2, and 0.3 pecent(w/v) SP; and 0.1, 0.2, and 0.3M potassium bicarbonate (PB), sodium bicarbonate (SB), potassium carbonate (PC), or sodium carbonate (SC). PSE gels had lighter color, lower pH, WHC, and cook yields, and higher TPA values than normal gels. Control and ddW gels had lower pH, and higher L*, a*, and b* values. As treatment levels increased, gels had higher pH, and lower L*, a*, and b* values. SP gels had lower pH, WHC, cook yields, and higher L*, a*, b*, and TPA values compared to PB, SB, PC, and SC gels. PC and SC gels had higher cook yields than normal control gels and PB and SB gels were intermediate. For both meat types, TPA values improved for PB and SB gels compared to normal control gels, but did not differ from SP gels. As levels of PC and SC increased, gels were softer, less cohesive, chewy, and lower in work 2 than other gels. Cooked PSE gels treated with 0.2 or 0.3M PC or SC were less red and yellow and had cook yields that surpassed normal control and ddW gels. Normal and PSE gels treated with 0.2 or 0.3M PC or SC did not differ in TPA measurements for hardness and work. PSE pork functionality was improved with PC or SC addition to be similar to or higher than normal samples. PC and SC are feasible alternatives to replace SP in pork gel systems without loss of WHC, color, or pH.

The main goal of this research was to determine the effectiveness of saturated fat replacement by means of a canola oil oleogel, termed an “organogel”, using ethyl cellulose (EC, 10 cP) as the gelator and sorbitan monostearate (SMS) as a plasticizer. All-beef frankfurters and pork breakfast sausages were used and instrumental tests performed to determine effectiveness were light microscopy, texture profile analysis, Warner-Bratzler shear force, cook loss and smokehouse yield. A trained sensory analysis panel scored for hardness, juiciness, oiliness, and the presence of off flavours. Replacing beef fat (BF) with canola oil (CO) in frankfurters produced a product that was significantly harder (P < 0.05). The gelling of the canola oil lowered the TPA hardness values. Cohesiveness, chewiness and gumminess values were statistically similar to the BF control. Minor changes in L*, a* and b* values were observed, with the organogel frankfurters being lighter than the BF control. Sensory analysis scores showed that 8,10 & 12% EC frankfurters were significantly less hard than the CO control. / Ontario Ministry of Agriculture, Food & Rural Affairs (OMAFRA)

Texture was measured on texture analyzer TA.XT plus the manufacturer's Stable Micro System, using the methods of texture profile analysis (TPA) in the general carp fillets (Cyprinus carpio). Were measured basic textural properties such as hardness, chewiness, springiness and cohesiveness. Course of change of these textural characteristics were monitored during the freezing and marinating. In both cases, the differences statistically substantiating some textural properties.

Objective: The efficacy of bariatric surgery has been proven; however, a subset of patients fails to achieve expected long-term weight loss postoperatively. As differences in surgery outcome may be influenced by heterogeneous psychological profiles in pre-bariatric patients, previous subtyping models differentiated patients based on temperament traits. The objective of the present study was to expand these models by additionally considering emotion dysregulation and disinhibited eating behaviors for subtyping, as these factors were associated with maladaptive eating behaviors and poor post-bariatric weight loss outcome. Methods: Within a prospective multicenter registry, N = 370 pre-bariatric patients were examined using interview and self-report questionnaires. A latent profile analysis was performed to identify subtypes based on temperament traits, emotion dysregulation, and disinhibited eating behaviors. Results: Five pre-bariatric subtypes were identified with specific profiles regarding self control, emotion dysregulation, and disinhibited eating behaviors. Subtypes were associated with different levels of eating disorder psychopathology, depression, and quality of life. The expanded model increased variance explanation compared to temperament-based models. Conclusion: By adding emotion dysregulation and disinhibited eating behaviors to previous subtyping models, specific pre-bariatric subtypes emerged with distinct psychological deficit patterns. Future investigations should test the predictive value of these subtypes for post bariatric weight loss and health-related outcomes.

Profile analysis is a multivariate statistical method for comparing the mean vectors for different groups. It consists of three tests, they are the tests for parallelism, level and flatness. The results from each test give information about the behaviour of the groups and the variables in the groups. The test statistics used when there are more than two groups are likelihood-ratio tests. However, issues in the form indeterminate test statistics occur in the high-dimensional setting, that is when there are more variables than observations. This thesis investigates a method to approach this problem by reducing the dimensionality of the data using scores, that is linear combinations of the variables. Three different ways of choosing this score are compared: the eigendecomposition and two variations of the non-negative matrix factorization. The methods are compared using simulations for five different type of mean parameter settings. The results show that the eigendecomposition is the best technique for choosing the score, and that using more scores only slightly improves the results. Moreover, the results for the parallelism and the flatness tests are shown to be very good, but the results for the level hypothesis deviate from the expectation.

No description available.

No description available.

No description available.