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Search Results: 1 - 10 of 218498 matches for " James P. Concannon "
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Prospective Teachers’ Perceptions of Science Theories: An Action Research Study  [PDF]
James P. Concannon, Patrick L. Brown, Erikka Brown
Creative Education (CE) , 2013, DOI: 10.4236/ce.2013.41011
Abstract: This study investigates prospective teachers’ conceptions of science theories before and after instruction. Instruction focused specifically on prospective teachers’ misconceptions that theories are not used to predict, that laws are more important than theories, and that theories are simply hunches. The action research investigation was successful in helping students accommodate new information presented in the lesson and facilitated their understanding towards the accepted explanation of what a theory in science means; however, the vernacular misconception that “theories are hunches” persisted.
ATM mutations associated with breast cancer
RA Gatti, P Concannon
Breast Cancer Research , 2005, DOI: 10.1186/bcr1048
Abstract: These efforts were partially funded by NIH grant NS35322 and the A-T Medical Research Foundation, Los Angeles, California, USA.
Star formation histories of early-type galaxies. I: Higher order Balmer lines as age indicators
Nelson Caldwell,James A. Rose,Kristi Dendy Concannon
Physics , 2003, DOI: 10.1086/375308
Abstract: (shortened) We have obtained blue integrated spectra of 175 nearby early-type galaxies, covering a wide range in galaxy velocity dispersion, and emphasizing those with sigma < 100 km/s. Galaxies have been observed both in the Virgo cluster and in lower-density environments. The main goals are the evaluation of higher order Balmer lines as age indicators, and differences in stellar populations as a function of mass, environment and morphology. In this first paper our emphasis is on presenting the evolutionary population synthesis models. Lower-sigma galaxies exhibit a substantially greater intrinsic scatter, in a variety of line strength indicators, than do higher-sigma galaxies, with the large intrinsic scatter setting in below a sigma of 100 km/s. Modeling of the observed spectral indices indicates that the strong Balmer lines found primarily among the low-sigma galaxies are caused by young age, rather than by low metallicity. Thus we find a trend between the population age and the velocity dispersion, such that low sigma galaxies have younger luminosity-weighted mean ages. We have repeated this analysis using several different Balmer lines, and find consistent results from one spectral indicator to another.
The way early-onset chronically depressed patients are treated today makes me sad  [PDF]
James P. McCullough
Open Journal of Psychiatry (OJPsych) , 2012, DOI: 10.4236/ojpsych.2012.21002
Abstract: The author has treated almost 400 chronically depressed outpatients during his career. He has also participated as a Field Trial Coordinator in the Unipolar Field Trials of DSM-IV and consulted with the DSM-V Mood Disorders Workgroup concerning his research for the new diagnostic nomenclature for the chronic depressions, Chronic Depression Disorder. In addition, he has served as Principal Investigator in several large clinical trials involving 2200 chronically depressed outpatients. The current paper is a Brief Report describing his negative reactions to the way 40 of his chronically depressed patients have been treated today by both Psychologists and Psychiatrists. All the patients are his patients and have been seen by him in psychotherapy over the past decade. Several reasons are proposed for the inadequate treatment and specific proposals are made for the improvement of treatment for the early-onset chronically depressed patient.
Fuzzy-Neuro Model for Intelligent Credit Risk Management  [PDF]
Elmer P. Dadios, James Solis
Intelligent Information Management (IIM) , 2012, DOI: 10.4236/iim.2012.425036
Abstract: This paper presents hybrid fuzzy logic and neural network algorithm to solve credit risk management problem. Credit risk is the risk of loss due to a debtor’s non-payment of a loan or other line of credit. A method of evaluating the credit worthiness of a customer is complex and non-linear due to the diverse combinations of risk involve. To address this problem a credit scoring method is proposed in this paper using hybrid fuzzy logic-neural network (HFNN) model. The model will be implemented, tested, and validated for individual auto loans using real life bank data. The neural network is used as the learner and the fuzzy logic is used as the implementer. The neural network will fine tune the fuzzy sets, remove redundant input variables, and extract fuzzy rules. The extracted fuzzy rules are evaluated to retain the best k number of rules that will give final and intelligent decisions. The experiment results show that the perform-ance of the proposed HFNN model is very accurate, robust, and reliable. Comparison of these results to other previous published works is also presented in this paper.
Cyber Terrorism
Kevin Curran,Kevin Concannon,Sean Mc Keever
Asian Journal of Information Technology , 2012,
Abstract: Cyber terrorism is the premeditated, politically motivated attacks against information, computer systems, computer programs, and data which result in violence against non-combatant targets by sub-national groups or clandestine agents. This study provides a brief overview of previous cyber terrorism attacks and government responses.
Spatiotemporally complete condensation in a non-Poissonian exclusion process
R. J. Concannon,R. A. Blythe
Physics , 2013, DOI: 10.1103/PhysRevLett.112.050603
Abstract: We investigate a non-Poissonian version of the asymmetric simple exclusion process, motivated by the observation that coarse-graining the interactions between particles in complex systems generically leads to a stochastic process with a non-Markovian (history-dependent) character. We characterize a large family of one-dimensional hopping processes using a waiting-time distribution for individual particle hops. We find that when its variance is infinite, a real-space condensate forms that is complete in space (involves all particles) and time (exists at almost any given instant) in the thermodynamic limit. The mechanism for the onset and stability of the condensate are both rather subtle, and depends on the microscopic dynamics subsequent to a failed particle hop attempts.
Effects of soil moisture and length of irrigation on soil wetting to deliver fumigants through microirrigation lines in sandy spodosols  [PDF]
Bielinski M. Santos, James P. Gilreath
Agricultural Sciences (AS) , 2011, DOI: 10.4236/as.2011.24069
Abstract: Soil fumigant delivery through microirrigation (drip) lines has the potential to replace direct soil injection into planting beds. However, wetting coverage in these Spodosols must be improved to increase soilborne pest and weed control. Field trials were carried out to determine the impact of soil moisture on the extent of wetting cross-sectional areas through varying irrigation times. Soil moisture contents were: a) 7% moisture (field capacity), and b) 20% (saturation), along with 2, 4, 6, 8, and 10 h of irrigation. Pressed beds had 70 cm tops. Drip lines had emitters spaced 30 cm apart delivering 0.056 L·min–1 per m of row at 55 kPa, and two drip lines were buried at 2.5 cm below the surface and 30 cm apart from each other. Water was mixed with a blue marking dye to analyze the water distribution patterns. Beds were opened at the emitters and high-resolution digital pictures were taken for each treatment. Resulting images were adjusted using photographic software and covered areas across the beds were determined. Regression analysis showed significant quadratic equations for both soil moisture situations, with saturated soils obtaining the highest cross section coverage (90 and 94% after 8 and 10 h). In field capacity beds, the maximum cross section coverage obtained was 82%. Within each soil moisture situation, there were no differences between 8 and 10 h of irrigation.
Effect of Germination on the Nutritional and Protein Profile of Australian Sweet Lupin (Lupinus angustifolius L.)  [PDF]
Anthony P. James, Vijay Jayasena, Rumiyati .
Food and Nutrition Sciences (FNS) , 2012, DOI: 10.4236/fns.2012.35085
Abstract: Australian Sweet Lupin (ASL) has a nutritional profile ideally suited for human consumption with high protein and fibre, but low starch and fat content. The nutritional and protein profile of germinated ASL may be better than ungerminated ASL and these improvements would provide further benefits in its use as an ingredient in food applications. In this study the nutritional components such as protein, crude fibre, fat and protein profile of germinated ASL flour following germination at 25℃ and 90% - 95% relative humidity for 9 days were determined. The changes in the pattern of ASL protein during germination were analysed using sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE). Germination significantly increased crude fibre contents by 450% (db), total protein contents by 38% (db) and decreased the fat content by 70% (db) at day 9 of germination. Electrophoretic analysis of the protein fractions revealed that during germination up to 9 days, some of the high molecular weight proteins disappeared. Germination represents a means to further improve the nutritional profile of the germinated ASL flour with an increased fibre and protein, but lower fat content.
Addressing the Quantitative and Qualitative: A View to Complementarity—From the Synaptic to the Social  [PDF]
James Giordano, P. Justin Rossi, Roland Benedikter
Open Journal of Philosophy (OJPP) , 2013, DOI: 10.4236/ojpp.2013.34A001
Abstract: History and anthropology reveal the perdurable human characteristic of attempting to create and employ some form of quantifiable representation of the qualitative aspects of life and the natural world. The recent revolution in the ability to quantify neurobiological processes through advanced neurotechnologies, and the announcement of comprehensive mapping of neuronal pathways as priorities both within the United States (e.g. the Brain Research through Advancing Innovative Neurotechnology, BRAIN, Initiative), and internationally (e.g. the European Union’s Human Brain Project) call forth questions about how data, both quantitative and qualitative, can and should be leveraged to sustain neuroscientific research and related applications that are ethically sound, technically viable, and socially relevant. As neuroscience evermore gains influence in medical, public, economic and political spheres, it will be important to ask (early and iteratively) what such science—as a human endeavor—seeks to achieve, and how the methods selected (whether quantitative, qualitative, or some combination thereof) may help to realize such goals. In this paper we explore potential sources of tension, alignment, and integration with respect to the quantitative and qualitative domains of neuroscientific research, its influence upon society, and the role that the field of neuroethics can—and arguably should—play in rendering balance to the use of neuroscientific knowledge as both lens into the brain, and mirror upon human thought and action. Ultimately, we propose a stance of complementarity with a view toward maximizing the benefits of both the quantitative and qualitative domains.
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