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(1 - 9 of 9)
- Title
- THE INTEGRATION OF COMPUTER SIMULATION INTO THE COMMUNITY COLLEGE GENERAL BIOLOGY LABORATORY.
- Creator
- MILLER, DARYL GILSON., Florida Atlantic University
- Abstract/Description
-
The pedagogical effectiveness of the integration of computer-assisted instruction (CAI) into the community college general biology laboratory was compared with that of traditional "hands on" biology laboratory instruction. Two evaluative instruments were used as a measure of student achievement: a multiple choice test (pretest/posttest format) and a laboratory report form. The multiple choice posttest was readministered at a later date as an indicator of learning retention. Both evaluative...
Show moreThe pedagogical effectiveness of the integration of computer-assisted instruction (CAI) into the community college general biology laboratory was compared with that of traditional "hands on" biology laboratory instruction. Two evaluative instruments were used as a measure of student achievement: a multiple choice test (pretest/posttest format) and a laboratory report form. The multiple choice posttest was readministered at a later date as an indicator of learning retention. Both evaluative instruments were referenced as to higher and lower cognitive learning skills according to Bloom's Taxonomy and subscores for each category were obtained. Student pre- and post-attitude toward CAI was addressed through the administration of a CAI attitude inventory. Enzyme Investigations, a program developed for HRM Software by James Chandler (1985) was used in this study. Statistical comparisons consisted of either ANOVA or multifactor ANOVA with the level of rejection at 0.05. CAI students did not differ at either cognitive level of learning achievement from traditionally instructed lab students when measured with a multiple choice test. A significant difference was noted favoring CAI students for higher cognitive level learning as measured by a laboratory report. Gender differences favoring male CAI students approached significance (p = 0.0759) using the multiple choice test but comparable differences were not noted with lab report scores. When test scores of students at varying levels of academic achievement (as measured by grade point average) were compared, the CAI and traditional groups' performances were similar for both evaluative instruments. No significant difference was noted between the CAI and traditional groups when learning retention was measured. Student participation in the CAI produced no significant change in attitude toward this instructional strategy. It was concluded that when the two forms of instruction were compared in the general biology laboratory, integrated CAI was at least as effective as traditional methods at the community college level. Additionally, CAI appears to be more effective than traditional lab methods for teaching higher level cognitive skills.
Show less - Date Issued
- 1986
- PURL
- http://purl.flvc.org/fcla/dt/11883
- Subject Headings
- Computer-assisted instruction, Biological laboratories, Community colleges
- Format
- Document (PDF)
- Title
- Biological Computation: the development of a genomic analysis pipeline to identify cellular genes modulated by the transcription / splicing factor srsf1.
- Creator
- Clark, Evan, Asghar, Waseem, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
SRSF1 is a widely expressed mammalian protein with multiple functions in the regulation of gene expression through processes including transcription, mRNA splicing, and translation. Although much is known of SRSF1 role in alternative splicing of specific genes little is known about its functions as a transcription factor and its global effect on cellular gene expression. We utilized a RNA sequencing (RNA-¬‐Seq) approach to determine the impact of SRSF1 in on cellular gene expression and...
Show moreSRSF1 is a widely expressed mammalian protein with multiple functions in the regulation of gene expression through processes including transcription, mRNA splicing, and translation. Although much is known of SRSF1 role in alternative splicing of specific genes little is known about its functions as a transcription factor and its global effect on cellular gene expression. We utilized a RNA sequencing (RNA-¬‐Seq) approach to determine the impact of SRSF1 in on cellular gene expression and analyzed both the short term (12 hours) and long term (48 hours) effects of SRSF1 expression in a human cell line. Furthermore, we analyzed and compared the effect of the expression of a naturally occurring deletion mutant of SRSF1 (RRM12) to the full-¬‐length protein. Our analysis reveals that shortly after SRSF1 is over-¬‐expressed the transcription of several histone coding genes is down-¬‐regulated, allowing for a more relaxed chromatin state and efficient transcription by RNA Polymerase II. This effect is reversed at 48 hours. At the same time key genes for the immune pathways are activated, more notably Tumor Necrosis Factor-¬‐Alpha (TNF-¬‐α), suggesting a role for SRSF1 in T cell functions.
Show less - Date Issued
- 2017
- PURL
- http://purl.flvc.org/fau/fd/FA00004858, http://purl.flvc.org/fau/fd/FA00004858
- Subject Headings
- Gene expression., Computational biology., Markov processes., Bioinformatics., Genetic engineering., Molecular biology.
- Format
- Document (PDF)
- Title
- Kicks and Maps A different Approach to Modeling Biological Systems.
- Creator
- Ippolito, Stephen Anthony, Naudot, Vincent, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Mathematical Sciences
- Abstract/Description
-
Modeling a biological systems, is a cyclic process which involves constructing a model from current theory and beliefs and then validating that model against the data. If the data does not match, qualitatively or quantitatively then there may be a problem with either our beliefs or the current theory. At the same time directly finding a model from the existing data would make generalizing results difficult. A considerable difficultly in this process is how to specify the model in the first...
Show moreModeling a biological systems, is a cyclic process which involves constructing a model from current theory and beliefs and then validating that model against the data. If the data does not match, qualitatively or quantitatively then there may be a problem with either our beliefs or the current theory. At the same time directly finding a model from the existing data would make generalizing results difficult. A considerable difficultly in this process is how to specify the model in the first place. There is a need to be practice which accounts for the growing use of mathematical and statistical methods. However, as a systems becomes more complex, standard mathematical approaches may not be sufficient. In the field of ecology, the standard techniques involve discrete maps, and continuous models such as ODE's. The intent of this work is to present the mathematics necessary to study hybrids of these two models, then consider two case studies. In first case we con sider a coral reef with continuous change, except in the presence of hurricanes. The results of the data are compared quantitatively and qualitatively with simulation results. For the second case we consider a model for rabies with a periodic birth pulse. Here the analysis is qualitative as we demonstrate the existence of a strange attractor by looking at the intersections of the stable and unstable manifold for the saddle point generating the attractor. For both cases studies the introduction of a discrete event into a continuous system is done via a Dirac Distribution or Measure.
Show less - Date Issued
- 2015
- PURL
- http://purl.flvc.org/fau/fd/FA00004508, http://purl.flvc.org/fau/fd/FA00004508
- Subject Headings
- Artificial intellligence -- Biological applications, Biology -- Mathematical models, Computational intelligence, Differential dynamical systems, Nonliner mechanics -- Mathematical models
- Format
- Document (PDF)
- Title
- Computers in biology: trends intaxonomy revealed by the published literature.
- Creator
- Winston, Judith E., Metzger, K. L., Harbor Branch Oceanographic Institute
- Date Issued
- 1998
- PURL
- http://purl.flvc.org/fau/fd/FA00007345
- Subject Headings
- Biology--Classification, Cladistic analysis, Taxonomists, Electronic information resource searching, Computers
- Format
- Document (PDF)
- Title
- Development of a Flapping Actuator Based on Oscillating Electromagnetic Fields.
- Creator
- Spragg, Donald Oakley, Curet, Oscar M., Florida Atlantic University, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
- Abstract/Description
-
In this work a bio-inspired flapping actuator based on varied magnetic fields is developed, controlled and characterized. The actuator is sought to contribute to the toolbox of options for bio-mimetics research. The design is that of a neodymium bar magnet on one end of an armature which is moved by two air core electromagnetic coils in the same manner as agonist and antagonist muscle pairs function in biological systems. The other end of the armature is fitted to a rigid fin extending beyond...
Show moreIn this work a bio-inspired flapping actuator based on varied magnetic fields is developed, controlled and characterized. The actuator is sought to contribute to the toolbox of options for bio-mimetics research. The design is that of a neodymium bar magnet on one end of an armature which is moved by two air core electromagnetic coils in the same manner as agonist and antagonist muscle pairs function in biological systems. The other end of the armature is fitted to a rigid fin extending beyond the streamline enclosure body to produce propulsion. A series of tests in still water were performed to measure the kinematics and propulsive force for different control schemes including the effect of adding antagonistic resistance to the control schemes. Control methods based on armature position and based on setpoint error were tested and antagonist force was found to increase consistency of control of the systems in certain cases.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004699, http://purl.flvc.org/fau/fd/FA00004699
- Subject Headings
- Actuators -- Materials, Artificial intelligence -- Biological applications, Biomimetics, Biophysics, Natural computation, Robotics, Robots -- Kinematics
- Format
- Document (PDF)
- Title
- Feature selection techniques and applications in bioinformatics.
- Creator
- Dittman, David, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Possibly the largest problem when working in bioinformatics is the large amount of data to sift through to find useful information. This thesis shows that the use of feature selection (a method of removing irrelevant and redundant information from the dataset) is a useful and even necessary technique to use in these large datasets. This thesis also presents a new method in comparing classes to each other through the use of their features. It also provides a thorough analysis of the use of...
Show morePossibly the largest problem when working in bioinformatics is the large amount of data to sift through to find useful information. This thesis shows that the use of feature selection (a method of removing irrelevant and redundant information from the dataset) is a useful and even necessary technique to use in these large datasets. This thesis also presents a new method in comparing classes to each other through the use of their features. It also provides a thorough analysis of the use of various feature selection techniques and classifier in different scenarios from bioinformatics. Overall, this thesis shows the importance of the use of feature selection in bioinformatics.
Show less - Date Issued
- 2011
- PURL
- http://purl.flvc.org/FAU/3175016
- Subject Headings
- Bioinformatifcs, Data mining, Technological innovations, Computational biology, Combinatorial group theory, Filters (Mathematics), Ranking and selection (Statistics)
- Format
- Document (PDF)
- Title
- Neural Information Processing Underlying Rhythmic Bimanual Coordination: Theory, Method and Experiment.
- Creator
- Banerjee, Arpan, Jirsa, Viktor K., Florida Atlantic University
- Abstract/Description
-
How do neuronal connectivity and the dynamics of distributed brain networks process information during bimanual coordination? Contemporary brain theories of cognitive function posit spatial, temporal and spatiotemporal network reorganization as mechanisms for neural information processing. In this dissertation, rhythmic bimanual coordination is studied as a window into neural information processing and subsequently an investigation of underlying network reorganization processes is performed....
Show moreHow do neuronal connectivity and the dynamics of distributed brain networks process information during bimanual coordination? Contemporary brain theories of cognitive function posit spatial, temporal and spatiotemporal network reorganization as mechanisms for neural information processing. In this dissertation, rhythmic bimanual coordination is studied as a window into neural information processing and subsequently an investigation of underlying network reorganization processes is performed. Spatiotemporal reorganization between effectors (limbs) is parameterized in a theoretical model via a continuously varying cross-talk parameter that represents neural connectivity. Thereby, effector dynamics during coordinated behavior is shown to be influenced by the cross-talk parameter and time delays involved in signal processing. In particular, stability regimes of coordination patterns as a function of cross-talk, movement frequency and the time delays are derived. On the methodological front , spatiotemporal reorganization of neural masses are used to simulate electroencephalographic data. A suitable choice of experimental control conditions is used to derive a paradigmatic framework called Mode Level Cognitive Subtraction (MLCS) which is demonstrated to facilitate the disambiguation between spatial and temporal components of the reorganization processes to a quantifiable degree of certainty. In the experimental section, MLCS is applied to electroencephalographic recordings during rhythmic bimanual task conditions and unimanual control conditions. Finally, a classification of reorganization processes is achieved for differing stability states of coordination: inphase (mirror) primarily entails temporal reorganization of sensorimotor networks localized during unimanual movement whereas spatiotemporal reorganization is involved during antiphase (parallel) coordination.
Show less - Date Issued
- 2007
- PURL
- http://purl.flvc.org/fau/fd/FA00000849
- Subject Headings
- Neural networks (Computer science), Biological control systems, Mind and body, Cognitive psychology
- Format
- Document (PDF)
- Title
- Targeted Gene Knock-out Via Promoter Tagging in Tomato (Lycopersicon Esculentum) and Tobacco (Nicotiana Tabacum).
- Creator
- Kazy, Alia, Zhang, Xing-Hai, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Biological Sciences
- Abstract/Description
-
Many different ways to create mutants have been established. This research demonstrates yet another variation of the promoter tagging technique that allows for a single step selection of the putative transgenic plants that have a mutation in constitutively expressed genes. While tomato transformants have not yet been convincingly confirmed, tobacco transformation resulted in seven transgenic lines showing resistance to high concentrations of kanamycin. Two transgenic lines were further...
Show moreMany different ways to create mutants have been established. This research demonstrates yet another variation of the promoter tagging technique that allows for a single step selection of the putative transgenic plants that have a mutation in constitutively expressed genes. While tomato transformants have not yet been convincingly confirmed, tobacco transformation resulted in seven transgenic lines showing resistance to high concentrations of kanamycin. Two transgenic lines were further investigated and three putative promoters isolated. Transient expression analysis of leaves transformed by particle bombardment with vectors carrying beta-glucuronidase gene driven by these putative promoters suggests two of them to be functional. Further investigation is needed to confirm the expression in the stably transformed plants as well as cloning of the genes downstream of the functional promoters and research of their functions.
Show less - Date Issued
- 2007
- PURL
- http://purl.flvc.org/fau/fd/FA00000779
- Subject Headings
- Gene mapping--Methodology, Gene mapping--Data processing, Gene expression, Microbial genetics, Computational biology
- Format
- Document (PDF)
- Title
- Time-frequency classification of gamma oscillatory activity in the frontoparietal system during working memory.
- Creator
- Romano, Tracy A., Bressler, Steven L., Florida Atlantic University, Charles E. Schmidt College of Science, Center for Complex Systems and Brain Sciences
- Abstract/Description
-
Working memory (WM) is a process that allows for the temporary and limited storage of information for an immediate goal or to be stored into a more permanent system. A large number of studies have led to the widely accepted view that WM is mediated by the frontoparietal network (FPN), consisting of areas in the prefrontal cortex (PFC) and posterior parietal cortex (PPC). Current evidence suggests that task specific patterns of neuronal oscillatory activity within the FPN play a fundamental...
Show moreWorking memory (WM) is a process that allows for the temporary and limited storage of information for an immediate goal or to be stored into a more permanent system. A large number of studies have led to the widely accepted view that WM is mediated by the frontoparietal network (FPN), consisting of areas in the prefrontal cortex (PFC) and posterior parietal cortex (PPC). Current evidence suggests that task specific patterns of neuronal oscillatory activity within the FPN play a fundamental role in WM, and yet specific spatio-temporal properties of this activity are not well characterized. This study utilized multisite local field potential (LFP) data recorded from PFC and PPC sites in two macaque monkeys trained to perform a rule-based, Oculomotor Delayed Match-to-Sample task. The animals were required to learn which of two rules determined the correct match (Location matching or Identity matching). Following a 500 ms fixation period, a sample stimulus was presented for 500 ms, followed by a randomized delay lasting 800-1200 ms in which no stimulus was present. At the end of the delay period, a match stimulus was presented, consisting of two of three possible objects presented at two of three possible locations. When the match stimulus appeared, the monkey made a saccadic eye movement to the target. The rule in effect determined which object served as the target. Time-frequency plots of three spectral measures (power, coherence, and Wiener Granger Causality (WGC) were computed from MultiVariate AutoRegressive LFP time-series models estimated in a 100-ms window that was slid across each of three analysis epochs (fixation, sample, and delay). Low (25- 55 Hz) and high gamma (65- 100 Hz) activity were investigated separately due to evidence that they may be functionally distinct. Within each epoch, recording sites in the PPC and PFC were classified into groups according to the similarity of their power t-f plots derived by a K-means clustering algorithm. From the power-based site groups, the corresponding coherence and WGC were analyzed. This classification procedure uncovered spatial, temporal, and frequency dynamics of FPN involvement in WM and other co-occurring processes, such as sensory and target related processes. These processes were distinguishable by rule and performance accuracy across all three spectral measures- power, coherence, and WGC. Location and Identity rule were distinguishable by the low and high-gamma range.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00004157
- Subject Headings
- Brain--Physiology., Biological rhythms., Attention--Physiological aspects., Cognitive neuroscience., Memory--Age factors., Short-term memory., Neural networks (Computer science)
- Format
- Document (PDF)
