Access to oral health care remains problematic for millions of Americans. Factors such as socioeconomic status, age, race, and lack of dental insurance benefits inhibit the ability of many to obtain preventative oral health care. The aim of this study was to explore the effect of preventive oral health treatment and education at reduced-fee dental hygiene facilities on the oral health behaviors and perceptions of socioeconomically deprived persons within the state of Georgia. This study was based on the health belief model constructs. A convenience sample of 102 participants was recruited from the individuals who visited two dental hygiene colleges to seek treatment for the first time. The independent variable was the receipt of reduced-fee dental hygiene treatment/education. The dependent variables were the oral health perceptions and behaviors of socioeconomically deprived persons, as well as the perceptions and behaviors of patients provided with a referral for follow-up treatment with a dentist. Mediating variables were sex, age, race, and socioeconomic status. Wilcoxon Signed Rank test and logistic regression were applied to detect potential differences in the dependent variables before and after treatment. The most significant changes were found in categories dealing with self-efficacy measures that patients could take to improve their own oral health. Also, the oral health behaviors and perceptions of younger, African-American of low educational and financial background were significantly more improved after treatment. The social change implication of this research may be that oral health practitioners can use these results to create preventative interventions more tailored for socioeconomically deprived persons who face complicated oral health issues.

The efficacy of dispersed reduced graphene oxide (rGO) as a nucleation site for the growth of mesophase in an isotropic pitch was investigated and quantified in this study. Concentrations of rGO were systematically tested in an isotropic petroleum and coal-tar pitch during thermal treatments and compared to pitch without rGO. The mesophase content of each thermally treated pitch was quantified by polarized light point counting. Further characterization of softening temperature and insolubles were quantified. Additionally, the pitches with and without rGO were melt spun, graphitized, and tensile tested to determine the effects of rGO on graphitized fiber mechanical properties and fiber morphology.

Combustion has been used for a long time as a means of energy extraction. However, in the recent years there has been further increase in air pollution, through pollutants such as nitrogen oxides, acid rain etc. To solve this problem, there is a need to reduce carbon and nitrogen oxides through lean burning, fuel dilution and usage of bi-product fuel gases. A numerical analysis has been carried out to investigate the effectiveness of several reduced mechanisms, in terms of computational time and accuracy. The cases were tested for the combustion of hydrocarbons diluted with hydrogen, syngas, and bi-product fuel in a cylindrical combustor. The simulations were carried out using the ANSYS Fluent 19.1. By solving the conservations equations, several global reduced mechanisms (2-5-10 steps) were obtained. The reduced mechanisms were used in the simulations for a 2D cylindrical tube with dimensions of 40 cm in length and 2.0 cm diameter. The mesh of the model included a proper fine quad mesh, within the first 7 cm of the tube and around the walls. By developing a proper boundary layer, several simulations were performed on hydrocarbon/air and syngas blends to visualize the flame characteristics. To validate the results “PREMIX and CHEMKIN” codes were used to calculate 1D premixed flame based on the temperature, composition of burned and unburned gas mixtures. Numerical calculations were carried for several hydrocarbons by changing the equivalence ratios (lean to rich) and adding small amounts of hydrogen into the fuel blends. The changes in temperature, radical formation, burning velocities and the reduction in NOx and CO2 emissions were observed. The results compared to experimental data to study the changes. Once the results were within acceptable range, different fuels compositions were used for the premixed combustion through adding H2/CO/CO2 by volume and changing the equivalence ratios and preheat temperatures, in the fuel blends. The results on flame temperature, shape, burning velocity and concentrations of radicals and emissions were observed. The flame speed was calculated by finding the surface area of the flame, through the mass fractions of fuel components and products conversions that were simulated through the tube. The area method was applied to determine the flame speed. It was determined that the reduced mechanisms provided results within an acceptable range. The variation of the inlet velocity had neglectable effects on the burning velocity. The highest temperatures were obtained in lean conditions (0.5-0.9) equivalence ratio and highest flame speed was obtained for Blast Furnace Gas (BFG) at elevated preheat temperature and methane-hydrogen fuels blends in the combustor. The results included; reduction in CO2 and NOx emissions, expansion of the flammable limit, under the condition of having the same laminar flow. The usage of diluted natural gases, syngas and bi-product gases provides a step in solving environmental problems and providing efficient energy.

Proficiency in literacy is paramount during a child's education. Lacking proficiency can have lasting effects. At both the state and local level, continuing gaps in student achievement in literacy have been documented. The purpose of this qualitative case study was to focus on kindergarten teachers and administrators' early literacy strategies, specifically current practices in early literacy skills and possible resources needed in early literacy to lessen the gap between White students and ethnic minority and students who qualify for free/reduced meals. The constructivist framework was the platform used to investigate teacher and administrator understanding of the 6 early literacy skills, their understanding of current literacy building instructional practices/strategies related to those skills, and possible needs for resources related to the six early literacy skills. The guiding question for this study was: Despite targeted instruction, dedicated time for daily literacy instruction, and tiered interventions, why does the literacy gap exist in kindergarten? A qualitative case study design was used for this project study with a convenience sample of five participants. Semistructured interviews were conducted and transcribed. Open coding was used to identify themes. Major themes emerged including instructional support, use of multimodal curriculums, strong teacher/student relationships, and consideration of issues outside the instruction and curriculum such as mental health of students. Recommendations were made in the form of a position paper to identify possible changes, modifications, and items to keep. A major implication when considering positive social change is the collaborative work from all stakeholders. With this position paper, the district can migrate from reactive strategies in third grade to proactive strategies in kindergarten to lessen the literacy gap between student subgroups.

The direct effects of chemically- induced reduced transpiration on soil moisture were studied in a sub -watershed of the greater Logan River drainage. No statistically significant differences occurred among the total amounts of water transpired by the treated and control units. The seasonal low points of soil moisture, in September, showed no significant differences in final moisture retention for the two years studied, either for the control or the treated portions of the study site . The 1967 season showed a lag in soil moisture depletion compared to the 1966 season. Although a later spring in 1967 may have aided in the explanation of this lag, there was good reason to believe that the antitranspirant treatment incurred a significant delay in water use. There was evidence that more effective application of chemicals might have given more positive results.

Chromosome evaluations were made on leukocyte blood samples from 169 phenotypically normal nulliparous Holstein heifers. These were from three different reproduction groups collected in sets of threes from 10 different herds in the western United States. Group 1, the control group, consisted of heifers diagnosed pregnant after one or two breedings; Group 2 consisted of heifers diagnosed pregnant after three or four breedings; and Group 3 consisted of heifers diagnosed open after four or more breedings. Metaphase chromosome spreads used in these analyses were obtained through 72-hour leukocyte cultures from heparinized whole blood. Processed cells were dropped onto a slide, air-dried, and stained with Giemsa. Chromosomes were then counted and X chromosomes were identified. A total of 1, 597 cells was evaluated, with 1,439 cells having counts of 60 chromosomes each. Thirty cells had less than 58 chromosomes, 31 cells had 58 chromosomes, 75 cells had 59 chromosomes, 14 cells had 61 chromosomes, and 8 cells had more than 61 chromosomes (9 .98% were different than 60). All counts of other than 60 chromosomes were isolated cases and were not identified as abnormalities. Only two cells from two separate heifers contained what may have been sex chromosome abnormalities. No persistent chromosomal defects were observed among the 169 heifers.

Optimal parametric design of a system must be able to respond quickly to short term needs as well as long term conditions. To this end, we present an Assess-Predict-Optimize (APO) strategy which allows for easy modification of a system’s characteristics and constraints, enabling quick design adaptation. There are three components to the APO strategy: Assess - extract necessary information from given data; Predict - predict future behavior of system; and Optimize – obtain optimal system configuration based on information from the other components. The APO strategy utilizes three key mathematical ingredients to yield real-time results which would certainly conform to given constraints: dimension reduction of the model, a posteriori error estimation, and optimization methods. The resulting formulation resembles a bilevel optimization problem with an inherent nonconvexity in the inner level. Using a simple infiltration-evaporation model to simulate an irrigation system, we demonstrate the APO strategy’s ability to yield real-time optimal results. The linearized model, described by a coercive elliptic partial differential equation, is discretized by the reduced-basis output bounds method. A primal-dual interior point method is then chosen to solve the resulting APO problem. / Singapore-MIT Alliance (SMA)

A new inverse analysis method is presented to identify parameters of heat convection in microelectronic packages. This approach adopts a modified Micro Genetic Algorithm (µGA) in finding the global optimum of parameters. A reduced-basis approach is introduced in the forward heat transfer analysis so as to significantly improve the efficiency in the calculation. Different identification procedures are employed to identify heat convection coefficients of a typical microelectronic package. Comparisons between different algorithms are performed. Results show that the use of the reduced-basis method together with the modified µGA outperforms the conventional GAs significantly. The presented method of coefficient identification is ideal for practical applications. It is efficient enough even for online analysis of both forward and inverse problem. / Singapore-MIT Alliance (SMA)

The optimization, control, and characterization of engineering components or systems require fast, repeated, and accurate evaluation of a partial-differential-equation-induced input-output relationship. We present a technique for the rapid and reliable prediction of linear-functional outputs of elliptic partial differential equations with affine parameter dependence. The method has three components: (i) rapidly convergent reduced{basis approximations; (ii) a posteriori error estimation; and (iii) off-line/on-line computational procedures. These components -- integrated within a special network architecture -- render partial differential equation solutions truly "useful": essentially real{time as regards operation count; "blackbox" as regards reliability; and directly relevant as regards the (limited) input-output data required. / Singapore-MIT Alliance (SMA)

Many optimization problems can be formulated as second order cone programming (SOCP) problems. Theoretical results show that applying interior-point method (IPM) to SOCP has global polynomial convergence. However, various stability issues arise in the implementation of IPM. The standard normal equation based implementation of IPM encounters stability problems in the computation of search direction. In this paper, an augmented system approach is proposed to overcome the stability problems. Numerical experiments show that the new approach can improve the stability. / Singapore-MIT Alliance (SMA)