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Poetry Teaching and Multimodality: Theory into Practice  [PDF]
Daniel Xerri
Creative Education (CE) , 2012, DOI: 10.4236/ce.2012.34077
Abstract: This article discusses the theoretical concepts underpinning a multimodal approach to poetry teaching and considers a number of ways in which this can be adopted in practice. It discusses what is entailed by the concept of multimodality and examines the claims made about the benefits of employing a multimodal approach. It reviews the literature on multimodality and examines how teachers may blend a variety of techniques and resources in order not just to engage their students with poetry but also to activate language learning. In particular, this article examines how by tapping students’ visual and digital literacy skills they are enabled to create video poems, podcasts, hypertexts and wikis, all of which represent new ways of using language and experiencing poetry. Through constant reference to the research carried out so far, this article seeks to show how by means of a multimodal approach poetry can act as a springboard for the development of students’ language proficiency and creative engagement.
Mathematical Derivation of Angular Momenta in Quantum Physics  [PDF]
Daniel Grucker
Journal of Modern Physics (JMP) , 2013, DOI: 10.4236/jmp.2013.47125
Abstract:

For a two-dimensional complex vector space, the spin matrices can be calculated directly from the angular momentum commutator definition. The 3 Pauli matrices are retrieved and 23 other triplet solutions are found. In the three-dimensional space, we show that no matrix fulfills the spin equations and preserves the norm of the vectors. By using a Clifford geometric algebra it is possible in the four-dimensional spacetime (STA) to retrieve the 24 different spins 1/2. In this framework, spins 1/2 are rotations characterized by multivectors composed of 3 vectors and 3 bivectors. Spins 1 can be defined as rotations characterized by 4 vectors, 6 bivectors and 4 trivectors which result in unit multivectors which preserve the norm. Let us note that this simple derivation retrieves the main spin properties of particle physics.

Contribution of Vertical Farms to Increase the Overall Energy Efficiency of Urban Agglomerations  [PDF]
Podmirseg Daniel
Journal of Power and Energy Engineering (JPEE) , 2014, DOI: 10.4236/jpee.2014.24013
Abstract: The 21st century keeps huge challenges for the system “city”. Shortage of resources and world population growth forces architects to think in spaces with increasingly more structural linkages. No era has shaped the system of a city like the oil age did. Its grown structures are dependent from cheap and easy to produce petroleum. The postmodern city, facing the end of cheap and abundant oil, is now dependent from this finite resource. To minimize the dependency from hydrocarbon energy it is necessary to increase urban density, to switch to renewable energy production and to create new spaces for multifunctional purposes. An essential problem of urban agglomeration, though, is the fact that distances between food production and consumption have increased drastically in the last fifty years. Cheap oil made it possible to implement a global food transportation
network and it also supported intensive monocultural food production. Today’s food no more gets bought from local markets, but from labels. Its value is dependent from the brand-image, represented from the tertiary sector. The end of cheap fossil fuels carries a huge potential for architects and urban planners—we can move away from representing abstract, non-spatial processes and identities but creating spaces for dynamic local interactions. A promising typus for this might be the Vertical Farm.
The Computational Theory of Intelligence: Information Entropy  [PDF]
Daniel Kovach
International Journal of Modern Nonlinear Theory and Application (IJMNTA) , 2014, DOI: 10.4236/ijmnta.2014.34020
Abstract: This paper presents an information theoretic approach to the concept of intelligence in the computational sense. We introduce a probabilistic framework from which computation alintelligence is shown to be an entropy minimizing process at the local level. Using this new scheme, we develop a simple data driven clustering example and discuss its applications.
The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines  [PDF]
Daniel Kovach
International Journal of Modern Nonlinear Theory and Application (IJMNTA) , 2015, DOI: 10.4236/ijmnta.2015.41002
Abstract:

In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA’s) and Turing Machines (TM’s). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.

On Hypercomplex Extensions of Quantum Theory  [PDF]
Daniel Sepunaru
Journal of Modern Physics (JMP) , 2015, DOI: 10.4236/jmp.2015.65075
Abstract: This paper discusses quantum mechanical schemas for describing waves with non-abelian phases, Fock spaces of annihilation-creation operators for these structures, and the Feynman recipe for obtaining descriptions of particle interactions with external fields.
Enhanced Frequency Resolution in Data Analysis  [PDF]
Luca Perotti, Daniel Vrinceanu, Daniel Bessis
American Journal of Computational Mathematics (AJCM) , 2013, DOI: 10.4236/ajcm.2013.33034
Abstract:

We present a numerical study of the resolution power of Padé Approximations to the Z-transform, compared to the Fourier transform. As signals are represented as isolated poles of the Padé Approximant to the Z-transform, resolution depends on the relative position of signal poles in the complex plane i.e. not only the difference in frequency (separation in angular position) but also the difference in the decay constant (separation in radial position) contributes to the resolution. The frequency resolution increase reported by other authors is therefore an upper limit: in the case of signals with different decay rates frequency resolution can be further increased.

Penetrating Trauma Resulting in Ventricular Septal Defect  [PDF]
Daniel Juneau, Daniel Hermann, Gretchen L. Wells
World Journal of Cardiovascular Surgery (WJCS) , 2014, DOI: 10.4236/wjcs.2014.45012
Abstract: Most ventricular septal defects (VSDs) are congenital. Acquired VSDs are generally due to myocardial infarction. An unusual case of VSD from penetrating trauma is described. In this case, the lack of a hemopericardium at presentation led the treatment team not to pursue cardiac pathology. Once the patient developed heart failure, the diagnosis of a VSD was made. Patients with penetrating chest wounds should undergo echocardiography, as such lesions may not be detected by physical examination or chest exploration.
α-Siphons of a Suboptimal Control Model of a Subclass of Petri Nets  [PDF]
Daniel Yuh Chao
Intelligent Control and Automation (ICA) , 2011, DOI: 10.4236/ica.2011.21003
Abstract: It has been a hot research topic to synthesize maximally permissive controllers with fewest monitors. So far, all maximally permissive control models for a well-known benchmark are generalized Petri net, which com-plicates the system. In addition, they all relied on time-consuming reachability analysis. Uzam and Zhou ap-ply First-met-bad-marking (FBM) method to the benchmark to achieve a near maximal permissive control policy with the advantage of no weighted control (WC) arcs. To improve the state of the art, it is interesting to synthesize optimal controller with as few weighted arcs as possible since it is unclear how to optimize the control for siphon involving WC arcs, This paper explores the condition to achieve optimal controller with-out WC and defining a new type of siphon, called α-siphon. If the condition is not met, one can apply the technique by Piroddi et al. to synthesize optimal controllers with WC.
Enhancing Accessibility of Visual Information via Sound: Metaphoric Association versus Rule-Based Mapping  [PDF]
Orit Shenkar, Daniel Algom
Psychology (PSYCH) , 2012, DOI: 10.4236/psych.2012.35058
Abstract: The goal of this study was to develop and test methods for enhancing accessibility of visual information through conversion to sound. In three experiments, normally sighted and visually impaired participants learned to associate sounds to referent visual stimuli. The conversion included an experience-based method that made use of natural sounds of objects and a rule-based method, which produced an appropriate “auditory graph” via a precise function. Learning was easier with the first method but an appreciable transfer of learning was only observed with the second method. Rendering the visual input highly accessible, these methods are capable of improving activities of daily living.
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