Preliminary analysis of aircraft fuel systems for use with broadened specification jet fuels

An analytical study was conducted on the use of broadened specification hydrocarbon fuels in present day aircraft. A short range Boeing 727 mission and three long range Boeing 747 missions were used as basis of calculation for one-day-per-year extreme values of fuel loading, airport ambient and altitude ambient temperatures with various seasonal and climatic conditions. Four hypothetical fuels were selected; two high-vapor-pressure fuels with 35 kPa and 70 kPa RVP and two high-freezing-point fuels with -29 C and -18 C freezing points. In-flight fuel temperatures were predicted by Boeing's aircraft fuel tank thermal analyzer computer program. Boil-off rates were calculated for the high vapor pressure fuels and heating/insulation requirements for the high freezing point fuels were established. Possible minor and major heating system modifications were investigated with respect to heat output, performance and economic penalties for the high freezing point fuels

Modeling Power Output of Horizontal Solar Panels Using Multivariate Linear Regression and Random Forest Machine Learning

United States Air Force energy resiliency goals are aimed to increase renewable energy implementation among its facilities. Researchers at the Air Force Institute of Technology designed, manufactured, and distributed 37 photovoltaic test systems to Air Force installations around the world. This research uses two types of modeling techniques, multivariate linear regression and random forest machine learning, to determine which technique will better predict power output for horizontal solar panels. Many previous solar panel prediction studies use solar irradiation data as an input. This study does not use irradiation as an input and aims to predict power output with input variables that are more readily available. If power output of a horizontal solar panel can be predicted using available weather data, then assessing the possibility of utilizing horizontal panels in any global location becomes possible. Input variables used for each model was latitude, month, hour, ambient temperature, humidity, wind speed, cloud ceiling, and altitude. The variance each model accounted was used as a comparison measure. The multivariate linear regression model accounted for 56.2% of the variance in a sample validation dataset. The random forest machine learning model accounted for 65.8% variance. The random forest model outperformed the multivariate linear regression model by accounting for 9.6% more variance. The most important variable in reducing the random forest model mean squared error was the month of the year, closely followed by cloud ceiling. Wind speed was the least important variable in reducing model error. More predictor variables are needed to increase predictability of horizontal solar panel power output if irradiation is not present as an input

Genomic characterizations of Xanthomonas cucurbitae and using comparative genomics to predict novel microbe-associated molecular patterns in Xanthomonas

Bacterial spot is a major plant disease caused by many plant-pathogenic members of the genus Xanthomonas. While each species is narrow in host range, bacterial spot Xanthomonads infect a large variety of plant hosts, leading to large economic losses for farmers around the world. Although Xanthomonas utilizes a wide array of virulence and pathogenicity factors to infect their hosts, plants have a range of methods to recognize invaders and prevent infection. Understanding the genomic and molecular interactions between Xanthomonas and their hosts are an important part of developing effective crop protection strategies and breeding plants for resistance. While X. cucurbitae has been identified as the causal agent of bacterial spot on cucurbits, no genomic-level analyses have been carried out regarding the pathogen. Using the first reference quality X. cucurbitae genome assembly, an RNA-seq analysis was carried out to assess virulence characteristics of the pathogen. By analyzing the X. cucurbitae transcriptome, we observed behavioral changes between nutrient-sufficient and host-mimicking conditions, as well as the upregulation of genes related to virulence and pathogenicity. We also identified virulence genes likely to be essential in successful bacterial spot infection. In addition, a RAD-seq analysis was performed to characterize populations clusters of X. cucurbitae isolated throughout the Midwestern United States. We revealed multiple populations of X. cucurbitae present throughout the region and demonstrated clear genetic differences between these populations using population genetics analyses. These studies demonstrate clear value in future genomic studies regarding X. cucurbitae. X. euvesicatoria and X. perforans are two bacterial spot Xanthomonads affecting tomatoes and peppers. We conducted a comparative genomics study in X. euvesicatoria and X. perforans populations to identify genes under selection pressure, and to characterize potential genes involved in plant-pathogen interactions. By calculating the test statistic Tajima’s D, we found evidence of purifying selection throughout the genomes of both bacterial spot Xanthomonads. In addition, Tajima’s D was successfully able to detect known microbe-associated molecular patterns (MAMPs), and we were able to characterize the recognition of these MAMPs between species in luminol-based reactive oxygen species (ROS) assays. While this study was not yet able to identify novel MAMPs, we show that Tajima’s D is a powerful tool in detecting genes that are important to plant-pathogen interactions

Revitalizing the Organizational Behavior of School Division of Secondary School Teachers of Department of Education in the Philippines

This study described the extent of organizational behavior of public secondary school teachers in the Division of Nueva Vizcaya. Specifically, it sought to determine the personal and organizational profile of teachers and the extent of organizational justice and organizational behavior. It used both quantitative and qualitative approaches. Descriptive statistics was used to describe the extent of organizational justice and organizational behavior where means and standard deviations were computed then appropriate qualitative descriptions were incorporated. Non–parametric tests (Mann Whitney and Kruskal Wallis tests) were utilized to assess the significant difference of the respondents’ organizational justice and organizational behavior along certain profile variables. Spearman rho test was employed to determine relationship between and among emotional intelligence, organizational justice, and organizational behavior. Three hundred and five (305) secondary public-school teachers served as respondents. From this, there were 61 teachers from the small schools, 120 teachers from the exceptional schools, and 124 teachers from the big schools. Results shows that the respondents were 41 years old and above ( 35.4% of the 305 respondents), female (238 out of 305), married (203 out of 305) secondary public school teachers , earning Php 18,500 – 19,999 a month (45.6% of the 304 respondents) since mostly have a baccalaureate degree (211 out of 305) and have been teaching for one to six years (36.4 % of the 305 respondents) but with high level of emotional intelligence (mean = 3.35). In terms of organizational rank, Teacher I – II accounts for 45.6 % (139 out of 304) while Head Teacher I – Master Teacher II is 10.5 % (32 out of 304) of the total respondents. The greatest number of respondents came from the big schools (124 out 305) who were assigned to teach under the Makabayan component (38.4 % of the 305 respondents). In addition, there is an equal number of teachers who are from the Mathematics and Science Departments (17.7 % of the 305 respondents). The overall organizational justice displayed by school heads as perceived by the secondary school teachers was seen to be at a great extent (mean = 3.35). The lowest although still described as great is distributive justice (mean =3.32) while the procedural, and interactional dimensions were rated similarly by the teachers with a mean of 3.36, respectively. Based on the findings of the result, it is recommended to come up with a plan to be relevant in practice of organizational justice by school heads that promotes organizational behavior among public secondary school teachers. Also, future study may be considered to determine the factors on how to strengthen the program based on the available data

Exploring Organizational Justice, Organizational Behavior, and Emotional Intelligence among Public Secondary School Teachers in Nueva Vizcaya, Philippines

This study examined the degree of organizational justice and organizational behavior among public secondary school teachers in the Division of Nueva Vizcaya, Philippines. Data was collected from 305 teachers through a validated questionnaire on organizational justice and behavior, as well as an emotional intelligence questionnaire adapted from Rao (2012). Descriptive statistics were used to analyze the data, including means and standard deviations, while non-parametric tests were used to assess differences in responses based on certain profile variables. Spearman rho test was used to determine the relationships between emotional intelligence, organizational justice, and organizational behavior. The study found that public secondary school teachers in the Division were generally 41 years old and above, female, under the Makabayan department from big schools, with a baccalaureate degree, ranked as Teacher I-Teacher II, and had high emotional intelligence with a monthly salary between Php 18,500 - Php 19,999. Overall, public secondary school teachers believed in organizational justice in the Division, with school heads being fair in terms of distributive, procedural, and interactional justice. They also demonstrated positive organizational behavior. The study found that certain profile variables influenced responses to items under the dimensions of organizational justice and behavior, while others did not. Ultimately, the study concluded that emotional intelligence, organizational justice, and organizational behavior were highly interconnected

Manariwa: A Filipina Perspective on Indigenous Contemporary Dance.

M.A. Thesis. University of Hawaiʻi at Mānoa 2017

Examination of Employee Alignment as a Predictor of Work Engagement

Work engagement, which is defined as a positive affective-motivational state of fulfillment in workers, characterized by vigor, dedication, and absorption in a work role, has been shown to produce many benefits for both individuals and organizations. In the present study, employee alignment was introduced as an additional personal resource measuring employees\u27 attitudes and beliefs toward their organization, their leaders, and the mission, vision, and goals of their organization. Using a sample of 1,510 employees, this study examined perceived organizational support (POS), supportive leader behavior, and employee alignment as predictors of work engagement. Furthermore, this study tested the incremental validity of employee alignment in predicting work engagement above and beyond POS and supportive leader behavior. It was found that POS, supportive leader behavior, and employee alignment all positively predicted work engagement. Additionally, employee alignment was shown to have additive predictive validity above and beyond POS and supportive leader behavior. These findings suggest that if workers believe in their organization\u27s mission, vision, goals, leaders, and direction of the company, they are more likely to become engaged in their work role above and beyond perceived organizational support and supportive leader behaviors. Organizational strategies to increase work engagement through POS, supportive leader behavior, and employee alignment are suggested

Inflight fuel tank temperature survey data

Statistical summaries of the fuel and air temperature data for twelve different routes and for different aircraft models (B747, B707, DC-10 and DC-8), are given. The minimum fuel, total air and static air temperature expected for a 0.3% probability were summarized in table form. Minimum fuel temperature extremes agreed with calculated predictions and the minimum fuel temperature did not necessarily equal the minimum total air temperature even for extreme weather, long range flights