771 research outputs found
Economic potential of the P.R. Spring oil-impregnated deposit, Uinta Basin, Utah
No full textreportThe P.R. Spring oil-impregnated sandstone (tar sand) deposit is located in the southeastern portion of the Uinta Basin, approximately 50 miles northwest of Grand Junction, Colorado. These oil impregnated sandstones are in the Eocene Green River Formation and five zones have been identified. These zones consist of one or more lenticular beds of lacustrine sandstone, separated by intervals of barren lithologies. The degree of impregnation of individual beds within the five zones is controlled by the lateral extent of the bed, its porosity and permeability, and the distance the oil has migrated within the bed. The degree of saturation varies both laterally and vertically. The purpose of this report was to 1) determine the total hydrocarbon content of each zone in blocks of 640 acres or less, and 2) relate this data to current economic and mining feasibility. This study incorporates the results of 38 measured sections and 26 core holes. The oil extracted from the P.R. Spring tar sands is a naturally occurring, brown to black, highly viscous or solid mixture of hydrocarbons. Its composition indicates that the oil was formed in situ or migrated only a short distance. The author has calculated the total barrels of oil in place for the deposit to be approximately 3.3 billion barrels. This is less than other published calculations of 3.7 and 4.0 to 4.5 billion barrels (Byrd, 1967; Ritzma, 1974). Problems associated with the method of economic recovery of the oil remain to be solved. Only the southeastern corner of the field is strip rninable. Other areas will probably have to be exploited by in situ recovery methods and several are being tested. The only known active operation in P.R. Spring is by Bighorn Oil, located in the southeastern part of the deposit. Their operation consists of an open-pit mine and a 200-barrel-per-day extraction plant utilizing a solvent solution process. Surface water availability in the area is limited, but may be sufficient if storage, reuse and ground-water potential are considered. Oil extraction will require a fuel supply, possibly from generated coke and other byproduct fuels generated by the tar refining process or by local natural gas or coal production. Further work is needed in the area, specifically more core holes and associated analyses. Strategic drilling in T. 11 S., R. 22 and 24 E., and T. 12 S., R. 22 E., could be used to verify assumed saturation
Obivius Nationale Relatietest: Bachelor Eindverslag
No full textBachelor Eindverslag (MKT) over het bouwen van een web-applicatie t.b.v. Nescio's Hermitage bv, onder begeleiding van Peter van NieuwenhuizenMKTMediamaticsElectrical Engineering, Mathematics and Computer Scienc
Effect of Oxidative Enzymes of Wheat Germ on the Biochemical and Rheological Characteristics of Bakery Products
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Role of enzymes from milled byproducts in baking industry
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Predicting Financial Savings Decisions Using Sigmoid Function and Information Gain Ratio
No full textAbstractPlanning for savings remains one of the most critical decisions for any user. The most important factor in this process is decision making. Most of the time, we can take decisions on how much money to save at a time based on our spending pattern. But automating this process is not easy, since it involves a number of parameters. Here, we attempt to incorporate intelligence into this decision making. The algorithm will attempt to predict the maximum amount to save based on the current account balance, clubbed with the entire database of available transactions on that account / user. Every transaction will be assigned an impact factor based on the time of occurrence, relative to the current date. Every month is divided into four quarters to track recurring expenses like EMIs. These impacts have to be taken by a machine learning algorithm to predict the maximum possible savings in that quarter. The impact factor will also depend upon the fraction of balance being spent on that quarter. If there is a goal set for savings, it will also be taken into consideration. If a considerable expense is predicted for that month, the savings will be kept low so that the account won’t go into overdraft. Recurring expenses are kept in check and accounted for to the maximum extent using information gain ratio from the transaction list
Evaluation of immunoassays for the diagnosis of Schistosoma japonicum infection using archived sera.
No full textBACKGROUND: With a national program initiated recently to reduce transmission of Schistosoma japonicum in the People's Republic of China (P.R. China), there is an urgent need for accessible, quality-assured diagnostics for case detection, surveillance, and program monitoring of chemotherapy efficacy and other control interventions in areas of low endemicity. We compared the performance of nine immunodiagnostic tests developed in P.R. China for detection of antibodies against S. japonicum and established their priority for further assessment in field settings. METHODOLOGY/PRINCIPAL FINDINGS: Using the Kato-Katz technique as the reference standard, 240 well-characterized archived serum specimens (100 positive and 140 negative) were evaluated in nine immunological tests developed in P.R. China. The enzyme-linked immunoelectrotransfer blot assay (EITB), which uses an adult worm extract of S. japonicum, supplied by the Center of Disease Control and Prevention, USA, was also evaluated. The sensitivity and specificity of each test were determined and the reproducibility of each test was assessed by evaluating operator-to-operator and run-to-run variation. In addition the simplicity of use for the end-user was evaluated. All tests showed good sensitivities ranging from 92.0% (95% confidence interval (CI): 86.7-97.3%) to 98.0% (95% CI: 95.3-100.0%). The test specificities varied from 70.0% (95% CI: 62.4-77.6%) to 97.1% (95% CI: 94.4-99.9%). All tests showed excellent reproducibility with a discordant rate in the range of 0-10.0% for operator-to-operator variation and run-to-run variation. All tests, except one magnetic particle-based enzyme-linked immunosorbent assay, were found to be easy to use, especially the dot immunogold filtration assays. CONCLUSIONS/SIGNIFICANCE: Most evaluated tests had acceptable performance characteristics and could make an impact on the schistosomiasis control programs in P.R. China. Three tests with the highest sensitivity, specificity and greatest ease of use, were selected for further evaluation in field settings
Neural Activities during the Thinking for Wise Advising Future Generation: an fNIRS study
No full textChao S. Hu1,2, Liting Zeng3, Waxun Su3, Michael L. Thomas4, Shuaiyu Chen5,6, Michel Ferrari7, Qiandong Wang3*(corresponding author)
1 - Department of Medical Humanities, School of Humanities, Southeast University, Nanjing, China
2 - Psychological Research & Education Center, School of Humanities, Southeast University, Nanjing, China
3 - School of Psychology, Beijing Normal University, Beijing, China
4 - Department of Psychology and Molecular, Cellular & Integrative Neurosciences, Colorado State University, Fort Collins, Colorado
5 - Centre for Cognition and Brain Disorders, Affiliated Hospital of Hangzhou Normal University; Hangzhou, Zhejiang Province, P.R. China.
6 - Institute of Psychological Science, Hangzhou Normal University; Hangzhou, Zhejiang Province, P.R. China.
7 - Ontario Institute for Studies in Education, University of Toronto, Toronto, Canad
Revisited Composition: Implementation Strategy for Mobility Based Development in Bandung City, Indonesia
No full textAs of today, most of the world’s population is living in urban areas. A lot of people is either migrating or commuting to the city every day. Urban sprawl in many cities in the world tends to trigger severe urban mobility challenges because the development is rarely supported by adequate infrastructure. In addition, the monocentric characteristic of the city worsens the fact that urban sprawl has encouraged massive commuting activities from peripheral areas to the city centre. In the case of high dependency to privately owned vehicles, both in the developed and developing countries, traffic congestion have become inevitable vernacular reality. The context chosen for this project is Bandung, Indonesia, the second largest cities in West Java. Bandung has been acknowledged as Jakarta’s backyard and experiencing quite massive urbanization since 1960’s. The city has grown into one big agglomeration of 17,000 hectares area where almost 3 million people live in. Regretfully, the urban development in Bandung has outpaced the government’s efforts in providing adequate infrastructure to connect the new (housing) complexes in the peripheries to the existing urban core, or providing new urban cores. The development trend has resulting certain tension between the city centre and the peripheral areas in the form of a severe daily traffic jam. There are three main development issues in Bandung, Indonesia addressed in this project: inefficient mobility, degradation of environment quality, and the lack of comprehensive planning in addressing the development. This project aimed to promote sustainable urban development in Bandung City as a response to current development trend which, one way another, encourages urban sprawl. The theses will be presented in the form of the development framework, structure vision, and development guidelines, which are exemplified in a key project.Architecture and The Built EnvironmentDepartment of Urbanis
Linearization of High Power Amplifier Using Modified Artificial Bee Colony and Particle Swarm Optimization Algorithm
No full textAbstractA linearization method for power amplifiers is proposed to cancel out distortion induced during amplification. Wiener model is chosen for power amplifier modelling. The linearization is achieved by the Modified Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithm. The Modified ABC and PSO algorithm reduces the complexity in linearization. Experimental results obtained for the proposed method shows that a better linearization of the amplifier characteristics can be obtained using the proposed method
- …
