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(1 - 6 of 6)
- Title
- A. Morris, in Bishop Stortford, to Master Clarke, [Will, Alfred or John].
- Creator
- A. Morris
- Date Issued
- 1873-11-17
- PURL
- http://purl.flvc.org/fau/fd/FADT3332119p
- Subject Headings
- Clarke Family, Family History, Genealogy
- Format
- Set of related objects
- Title
- My America.
- Creator
- Russotto, Henry A., Rosenfeld, Morris
- Date Issued
- 1917
- PURL
- http://purl.fcla.edu/fcla/dt/54765
- Subject Headings
- Piano, Voice, Solo, Secular genre
- Format
- Document (PDF)
- Title
- A ten year study of predictors of student success on the Advanced Placement Computer Science examination.
- Creator
- Cornnell, Walter A., Florida Atlantic University, Morris, John D., Weppner, Daniel B.
- Abstract/Description
-
This study examined a model to predict success on the Advanced Placement Computer Science (APCS) examination. The sample included all students (N = 423) who participated in the APCS program in the Palm Beach County Public School System from 1985 to 1994. Predictor variables consisted of the number of courses taken in specific content areas at the secondary level, semester grades in the APCS course, grade point average, and gender. Multiple regression analysis indicated the significance of...
Show moreThis study examined a model to predict success on the Advanced Placement Computer Science (APCS) examination. The sample included all students (N = 423) who participated in the APCS program in the Palm Beach County Public School System from 1985 to 1994. Predictor variables consisted of the number of courses taken in specific content areas at the secondary level, semester grades in the APCS course, grade point average, and gender. Multiple regression analysis indicated the significance of these variables in predicting the score on the APCS examination (F (12,280) = 5.848, p $<$.001). Further discriminant analysis identified the most accurate subset of predictors. All students were divided into two groups based on their scores on the APCS examination (pass/fail). The variables that occurred most frequently in the best subsets included the number of semesters taken in advanced mathematics; overall high school grade point average; gender; the grades achieved in both first and second semester in Advanced Placement Computer Science; and the semesters in computers. A model based on these six predictors had the highest (p $<$.01) predictive accuracy of all models studied (67.6% hit rate). Additional study of other independent variables that contribute to success on the APCS examination is needed.
Show less - Date Issued
- 1995
- PURL
- http://purl.flvc.org/fcla/dt/12427
- Subject Headings
- Advanced placement programs (Education), Prediction of scholastic success, Education--Data processing
- Format
- Document (PDF)
- Title
- Effects of Charged Cholesterol Derivatives on Aβ40 Amyloid Formation.
- Creator
- Elbassal, Esmail A., Liu, Haiyang, Morris, Clifford, Wojcikiewicz, Ewa P., Du, Deguo
- Date Issued
- 2016-01-14
- PURL
- http://purl.flvc.org/fau/flvc_fau_islandoraimporter_10.1021_acs.jpcb.5b09557_1648064189
- Format
- Document (PDF)
- Title
- Multiple Measures as a Placement Instrument in Mathematics at Florida State Colleges.
- Creator
- Montañez Martínez, III, Miguel A., Floyd, Deborah L., Morris, John D., Florida Atlantic University, College of Education, Department of Educational Leadership and Research Methodology
- Abstract/Description
-
Every year, thousands of Florida public high school graduates seek to enter Florida state colleges based on a single standardized placement test. This quantitative study sought to identify an actuarial model, based on multiple measures, as an alternative to standardized placement tests. The study, grounded on degree completion theories, examined high school students from the Miami-Dade metropolitan area and their performance in one first-year mathematics course in Miami Dade College during...
Show moreEvery year, thousands of Florida public high school graduates seek to enter Florida state colleges based on a single standardized placement test. This quantitative study sought to identify an actuarial model, based on multiple measures, as an alternative to standardized placement tests. The study, grounded on degree completion theories, examined high school students from the Miami-Dade metropolitan area and their performance in one first-year mathematics course in Miami Dade College during the Fall 2014 academic term. The study, using a sample size of 10,186 subjects, examined multiple predictor variables and one outcome variable to measure predictability of success in Intermediate Algebra. The study used descriptive statistics, multiple linear regression, and logistic regression to develop a multiple measure actuarial model. A quantitative analysis of archived student records was used in this study. The analysis revealed that the actuarial model, using gender, ethnicity, age, academic objective, academic load, high school GPA, high school mathematics gap, and high school mathematics curriculum composite score as predictor variables, was significant in predicting success in Intermediate Algebra. The actuarial model correctly classified 1,688 subjects who would fail Intermediate Algebra, achieving a hit rate of 75% in predicting failure in Intermediate Algebra. Similarly, the model achieved a hit rate of 54% when classifying subjects who would pass Intermediate Algebra. The improvement-over-chance index, I, was 44.8%, representing a 45% reduction in error when classifying subjects who would fail Intermediate Algebra. Thus, the actuarial model, with all its predictor variables, provides helpful guidance when advising incoming first-time-in-college (FTIC) students.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004614, http://purl.flvc.org/fau/fd/FA00004614
- Subject Headings
- Achievement in education--Measurement., Educational tests and measurements--Florida., Mathematics--Examinations, questions, etc., Advanced placement programs (Education)
- Format
- Document (PDF)
- Title
- Gold Nanoparticles as a Probe for Amyloid-β Oligomer and Amyloid Formation.
- Creator
- Esmail A. Elbassal, Clifford Morris, Thomas W. Kent, Thomas W. Kent, Bimlesh Ojha, Ewa P. Wojcikiewicz, Deguo Du
- Abstract/Description
-
The process of amyloid-β (Aβ) amyloid formation is pathologically linked to Alzheimer’s disease (AD). The identification of Aβ amyloids and intermediates that are crucial players in the pathology of AD is critical for exploring the underlying mechanism of Aβ aggregation and the diagnosis of the disease. Herein, we performed a gold nanoparticle (AuNP)-based study to detect the formation of Aβ amyloid fibrils and oligomers. Our results demonstrate that the intensity of the surface plasmon...
Show moreThe process of amyloid-β (Aβ) amyloid formation is pathologically linked to Alzheimer’s disease (AD). The identification of Aβ amyloids and intermediates that are crucial players in the pathology of AD is critical for exploring the underlying mechanism of Aβ aggregation and the diagnosis of the disease. Herein, we performed a gold nanoparticle (AuNP)-based study to detect the formation of Aβ amyloid fibrils and oligomers. Our results demonstrate that the intensity of the surface plasmon resonance (SPR) absorption band of the AuNPs is sensitive to the quantity of Aβ40 amyloids. This allows the SPR assay to be used for detection and semi-quantification of Aβ40 amyloids, and characterization of the kinetics of Aβ amyloid formation. Furthermore, our study demonstrates that the SPR band intensity of the AuNPs is sensitive to the presence of oligomers of both Aβ40 and an Aβ40 mutant, which forms more stable oligomers. The kinetics of the stable oligomer formation of the Aβ40 mutant can also be monitored following the SPR band intensity change of AuNPs. Our results indicate that this nanoparticle based method can be used for mechanistic studies of early protein self-assembly and fibrillogenesis.
Show less - Date Issued
- 2017
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000499
- Format
- Document (PDF)
