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Articles 1801 - 1830 of 2926
Full-Text Articles in Entire DC Network
Rational Bundles And Recursion Operators For Integrable Equations On A.Iii-Type Symmetric Spaces, Vladimir Gerdjikov, Georgi Grahovski, Alexander Mikhailov, Tihomir Valtchev
Rational Bundles And Recursion Operators For Integrable Equations On A.Iii-Type Symmetric Spaces, Vladimir Gerdjikov, Georgi Grahovski, Alexander Mikhailov, Tihomir Valtchev
Articles
We analyze and compare the methods of construction of the recursion operators for a special class of integrable nonlinear differential equations related to A.III-type symmetric spaces in Cartan’s classification and having additional reductions.
Polynomial Bundles And Generalised Fourier Transforms For Integrable Equations On A.Iii-Type Symmetric Spaces, Vladimir Gerdjikov, Georgi Grahovski, Alexander V. Mikhailov, Tihomir Valchev
Polynomial Bundles And Generalised Fourier Transforms For Integrable Equations On A.Iii-Type Symmetric Spaces, Vladimir Gerdjikov, Georgi Grahovski, Alexander V. Mikhailov, Tihomir Valchev
Articles
A certain class of integrable nonlinear differential equations related to A.III-type symmetric spaces and having additional reductions is analysed via the Inverse Scattering Method (ISM). The class contains systems of nonlinear evolution equations (NLEEs) associated with a Lax operator (for the time-evolution) polynomial in the spectral parameter. Using the Wronskian relations, the mapping between the potential and the minimal sets of scattering data is constructed. Furthermore, completeness relations for the `squared solutions' (generalised exponentials) are derived. Next, expansions of Q and its variation are obtained. This demonstrates that the interpretation of the inverse scattering method as a generalized Fourier transform …
Water-Soluble Cuii And Mnii Bis-Phenanthroline Octanedioate Complexes With Unprecedented Nano And Picomolar In Vitro Cytotoxicity As Promising Leads For Chemotherapeutic Drug Development, Andrew Kellett, Mark O'Connor, Malachy Mccann, Orla L. Howe, Alan Casey, Pauric Mccarron, Kevin Kavanagh, Mary Mcnamara, Sean Kennedy, Donald D. May, Philip S. Skell, Denis O'Shea, Michael Devereux
Water-Soluble Cuii And Mnii Bis-Phenanthroline Octanedioate Complexes With Unprecedented Nano And Picomolar In Vitro Cytotoxicity As Promising Leads For Chemotherapeutic Drug Development, Andrew Kellett, Mark O'Connor, Malachy Mccann, Orla L. Howe, Alan Casey, Pauric Mccarron, Kevin Kavanagh, Mary Mcnamara, Sean Kennedy, Donald D. May, Philip S. Skell, Denis O'Shea, Michael Devereux
Articles
Dinuclear CuII and MnII bis-phenanthroline octanedioate complexes exhibit rapid, unprecedented nano and picomolar in vitro cytotoxicity against colorectal cancer lines and are less toxic than cisplatin when examined in vivo. The complexes are potent generators of cellular reactive oxygen species, avid DNA binders and induce O2 dependent cleavage of DNA. The Cu(II) complex was found to have self-cleaving nuclease activity.
Law "In" And "As" History: The Common Law In The American Polity, 1790-1900, Kunal Parker
Law "In" And "As" History: The Common Law In The American Polity, 1790-1900, Kunal Parker
Articles
No abstract provided.
Cracks In The Wall, A Bulge Under The Carpet: The Singular Story Of Religion, Evolution, And The U.S. Constitution, Susan Haack
Cracks In The Wall, A Bulge Under The Carpet: The Singular Story Of Religion, Evolution, And The U.S. Constitution, Susan Haack
Articles
No abstract provided.
On Socle-Regularity And Some Notions Of Transitivity For Abelian P-Groups, Brendan Goldsmith, Peter Danchev
On Socle-Regularity And Some Notions Of Transitivity For Abelian P-Groups, Brendan Goldsmith, Peter Danchev
Articles
In the present work the interconnections between various notions of transitivity for Abelian p-groups and the recently introduced concepts of socle-regular and strongly socle-regular groups are studied.
Bayesian Inference For Exponential Random Graph Models, Alberto Caimo, Nial Friel
Bayesian Inference For Exponential Random Graph Models, Alberto Caimo, Nial Friel
Articles
Exponential random graph models are extremely difficult models to handle from a statistical viewpoint, since their normalising constant, which depends on model parameters, is available only in very trivial cases. We show how inference can be carried out in a Bayesian framework using a MCMC algorithm, which circumvents the need to calculate the normalising constants. We use a population MCMC approach which accelerates convergence and improves mixing of the Markov chain. This approach improves performance with respect to the Monte Carlo maximum likelihood method of Geyer and Thompson (1992).
Now For The Science Bit: Implementing Community-Based Learning In Chemistry, Claire M. Mcdonnell, Patricia Ennis, Leslie Shoemaker
Now For The Science Bit: Implementing Community-Based Learning In Chemistry, Claire M. Mcdonnell, Patricia Ennis, Leslie Shoemaker
Articles
Purpose – The purpose of this paper is to contribute to the understanding of student learning from community engagement by critically assessing the implementation of this pedagogical approach in the context of teaching and learning chemistry and also evaluating the role of personal development in student-community engagement.
Design/methodology/approach – A case study on the implementation since 2007 of community-based learning (also called service-learning) projects in an academic department in Ireland is presented. Analysis of assessment grades, student reflective accounts and evaluation questionnaires informs this work as does a recently completed self-assessment of our activities using Shumer’s Self-Assessment for Service Learning. …
Automatic Annotation Of Referring Expression In Situated Dialogues, Niels Schütte, John D. Kelleher, Brian Mac Namee
Automatic Annotation Of Referring Expression In Situated Dialogues, Niels Schütte, John D. Kelleher, Brian Mac Namee
Articles
To apply machine learning techniques to the production and interpretation of natural language, we need large amounts of annotated language data. Manual annotation, however, is an expensive and time consuming process since it involves human annotators looking at the data and explicitly adding information that is implicitly contained in the data, based on their judgment. This work presents an approach to automatically annotating referring expressions in situated dialogues by exploiting the interpretation of language by the participants in the dia- logue. We associate instructions concerning objects in the environment with automatically detected events involving these objects and predict the referents …
Comparative Imaging Study In Ultrasound Mri, Ct And Dsa Using A Multi-Modality Renal Artery Phantom, Deirdre King, Andrew Fagan, Carmel Moran, Jacinta Browne
Comparative Imaging Study In Ultrasound Mri, Ct And Dsa Using A Multi-Modality Renal Artery Phantom, Deirdre King, Andrew Fagan, Carmel Moran, Jacinta Browne
Articles
A range of anatomically-realistic multi-modality renal artery phantoms consisting of vessels with varying degrees of stenosis was developed and evaluated using four imaging techniques currently used to detect renal artery stenosis (RAS). The spatial resolution required to visualize vascular geometry and the velocity detection performance required to adequately characterize blood flow in patients suffering from RAS is currently ill-defined, with the result that no one imaging modality has emerged as a gold standard technique for screening for this disease.
Methods: The phantoms, which contained a range of stenosis values (0, 30, 50, 70 and 85%), were designed for use with …
Comparative Imaging Study In Ultrasound, Mri, Ct And Dsa Using A Multi-Modality Renal Artery Phantom, Deirdre King, Andrew Fagan, Carmel Moran, Jacinta Browne
Comparative Imaging Study In Ultrasound, Mri, Ct And Dsa Using A Multi-Modality Renal Artery Phantom, Deirdre King, Andrew Fagan, Carmel Moran, Jacinta Browne
Articles
A range of anatomically realistic multimodality renal artery phantoms consisting of vessels with varying degrees of stenosis was developed and evaluated using four imaging techniques currently used to detect renal artery stenosis (RAS). The spatial resolution required to visualize vascular geometry and the velocity detection performance required to adequately characterize blood flow in patients suffering from RAS are currently ill-defined, with the result that no one imaging modality has emerged as a gold standard technique for screening for this disease.
Methods:
The phantoms, which contained a range of stenosis values (0%, 30%, 50%, 70%, and 85%), were designed for use …
Novel Tissue Mimicking Materials For High Frequency Breast Ultrasound Phantoms, Louise Cannon, Andrew Fagan, Jacinta Browne
Novel Tissue Mimicking Materials For High Frequency Breast Ultrasound Phantoms, Louise Cannon, Andrew Fagan, Jacinta Browne
Articles
The development and acoustical characterisation of a range of novel agar-based tissue mimicking material (TMMs) for use in clinically relevant, quality assurance (QA) and anthropomorphic breast phantoms are presented. The novel agar-based TMMs described in this study are based on a comprehensive, systematic variation of the ingredients in the International Electrotechnical Commission (IEC) TMM. A novel, solid fat-mimicking material was also developed and acoustically characterised. Acoustical characterisation was carried out using an in-house scanning acoustic macroscope at low (7.5 MHz) and high frequencies (20 MHz), using the pulse-echo insertion technique. The speeds of sound range from 1490 to 1570 m. …
Water-Soluble Bis(1,10-Phenanthroline) Octanedioate Cu2+ And Mn2+ Complexes With Unprecedented Nano And Picomolar In Vitro Cytotoxicity: Promising Leads For Chemotherapeutic Drug Development, Andrew Kellett, Mark O'Connor, Malachy Mccann, Orla Howe, Alan Casey, Pauraic Mccarron, Kevin Kavanagh, Mary Mcnamara, Sean Kennedy, Donald May, Philip Skell, Denis O'Shea, Michael Devereux
Water-Soluble Bis(1,10-Phenanthroline) Octanedioate Cu2+ And Mn2+ Complexes With Unprecedented Nano And Picomolar In Vitro Cytotoxicity: Promising Leads For Chemotherapeutic Drug Development, Andrew Kellett, Mark O'Connor, Malachy Mccann, Orla Howe, Alan Casey, Pauraic Mccarron, Kevin Kavanagh, Mary Mcnamara, Sean Kennedy, Donald May, Philip Skell, Denis O'Shea, Michael Devereux
Articles
Dinuclear CuII and MnII bis-phenanthroline octanedioate complexes exhibit rapid, unprecedented nano and picomolar in vitro cytotoxicity against colorectal cancer lines and are less toxic than cisplatin when examined in vivo. The complexes are potent generators of cellular reactive oxygen species, avid DNA binders and induce O2 dependent cleavage of DNA. The Cu(II) complex was found to have self-cleaving nuclease activity.
Holden Caulfield Grows Up: Salinger V. Colting, The Promotion-Of-Progress Requirement, And Market Failure In A Derivative-Works Regime, John M. Newman
Holden Caulfield Grows Up: Salinger V. Colting, The Promotion-Of-Progress Requirement, And Market Failure In A Derivative-Works Regime, John M. Newman
Articles
In 2009, the pseudonymous 'John David California" announced plans for U.S. publication of 6o Years Later: Coming Through the Rye, a "sequel" to JD. Salinger's canonical novel The Catcher in the Rye. Salinger reacted swiftly, bringing a copyright infingement suit to enjoin publication of the new work. The district court granted the injunction, effectively banning U.S. distribution of the sequel and unintentionally illustrating modern copyright law's troubling divergence from the purpose of the constitutional grant of copyright authority to Congress.
Economic analysis demonstrates the tension caused by the repeated, incremental expansion of copyright protections-at some point, the Copyright Act will …
Predatory Ed: The Conflict Between Public Good And For-Profit Higher Education, Osamudia R. James
Predatory Ed: The Conflict Between Public Good And For-Profit Higher Education, Osamudia R. James
Articles
No abstract provided.
Optimal Predictive Kernel Regression Via Feature Space Principle Components, Ernest Fokoue
Optimal Predictive Kernel Regression Via Feature Space Principle Components, Ernest Fokoue
Articles
We propose a simple use of principal component analysis in feature space that allows the derivation of optimal predictive kernel regression. The proposed approach is shown to perform well on both artificial and real data. Despite its incredible simplicity, the proposed method is found to compete very well with sophisticated statistical approaches like the Relevance Vector Machine and the Support Vector Machine.
Effect Of Different Drying Temperatures On The Moisture And Phytochemical Constituents Of Edible Irish Brown Seaweed, Shilpi Gupta, Sabrina Cox, Nissreen Abu-Ghannam
Effect Of Different Drying Temperatures On The Moisture And Phytochemical Constituents Of Edible Irish Brown Seaweed, Shilpi Gupta, Sabrina Cox, Nissreen Abu-Ghannam
Articles
The effect of different temperatures on the drying kinetics and the phytochemical constituents of edible Irish brown seaweed, Himanthalia elongata were studied. This kinetic study involved the modelling of the terms of Fick’s diffusion equation, for estimation of the diffusion coefficients. The diffusivity coefficient increased from 5.6×10−07-12.2×10−07 m2/s as the drying temperatures increased with an estimated activation energy of 37.2 kJ/mol. The experimental data was also fitted to different empirical kinetic models, Newton, Logarithmic and Henderson-Pabis, and the goodness of fit for the different models was evaluated. The effect of drying temperatures on the phytochemical constituents in seaweed was also …
Application Of Principal Component And Hierarchical Cluster Analysis To Classify Different Spices Based On In-Vitro Antioxidant Activity And Individual Polyphenolic Antioxidant Compounds, Mohammad Hossain, Ankit Patras, Catherine Barry-Ryan, Ana Belen Martin-Diana, Nigel Brunton
Application Of Principal Component And Hierarchical Cluster Analysis To Classify Different Spices Based On In-Vitro Antioxidant Activity And Individual Polyphenolic Antioxidant Compounds, Mohammad Hossain, Ankit Patras, Catherine Barry-Ryan, Ana Belen Martin-Diana, Nigel Brunton
Articles
This study investigated the variations in antioxidant profiles between spices using pattern recognition tools; classification was achieved based on the results of global antioxidant activity assays (2,2-diphenyl-1-picrylhydrazyl [DPPH], oxygen radical absorbance capacity [ORAC], ferric reducing antioxidant power [FRAP], microsomal lipid peroxidation [MLP] and 2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) [ABTS]), levels of different polyphenolic compounds (gallic acid [GA], carnosol [CAR], carnosic acid [CRA], caffeic acid [CA], rosmarinic acid [RA], luteolin-7-O-glucoside [LOG], apigenin-7-O-glucoside [APOG] and total phenols [TP]) of spices namely rosemary, oregano, marjoram, sage, basil, thyme, fennel, celery, cumin and parsley, commonly consumed in Ireland were analyzed. Rosemary showed the highest antioxidant activity measured …
In Vitro Analysis Of Immersed Human Tissues By Raman Microspectroscopy, Franck Bonnier, A. Mehmood, Peter Knief, Aidan Meade, Helen Lambkin, Kathleen Flynn, V. Mcdonagh, C. Healy, T. C. Lee, Fiona Lyng, Hugh Byrne
In Vitro Analysis Of Immersed Human Tissues By Raman Microspectroscopy, Franck Bonnier, A. Mehmood, Peter Knief, Aidan Meade, Helen Lambkin, Kathleen Flynn, V. Mcdonagh, C. Healy, T. C. Lee, Fiona Lyng, Hugh Byrne
Articles
Raman microspectroscopy is a powerful tool for the analysis of tissue sections, providing a molecular map of the investigated samples. Nevertheless, data pre-processing and, particularly, the removal of the broad background to the spectra remain problematic. Indeed, the physical origin of the background has not been satisfactorily determined. Using 785 nm as source in a confocal geometry, it is demonstrated for the example of the protein kappa-elastin that the background and resulting quality of the recorded spectrum are dependent on the morphology of the sample. Whereas a fine powder yields a dominant broad background, compressed pellets and solution-cast thin films …
A Practical Photoelectrochemical Cell Using Nonprecious Metal Electrodes, Patrick Enright, Tony Betts, John Cassidy
A Practical Photoelectrochemical Cell Using Nonprecious Metal Electrodes, Patrick Enright, Tony Betts, John Cassidy
Articles
Abstract: Photoelectrochemical cells (PECs) can be used to harvest light from the oxidation of dissolved organic matter. Similar to fuel cells but requiring light to operate, PECs contain a light assisted electrode that oxidises electron rich materials (anode); these electrons then flow to a typically Pt cathode where O2 is normally the electron acceptor. In this work a PEC cell containing inexpensive materials was shown to (a) mineralise typical organic compounds present in waste water and (b) produce electricity from their decomposition. The PEC cell consisted of a TiO2 coated conducting ink anode exposed to a light source, …
Non Aggregated Colloidal Silver Nanoparticles For Surface Enhanced Resonance Raman Spectroscopy, Aoife Power, John Cassidy, Tony Betts
Non Aggregated Colloidal Silver Nanoparticles For Surface Enhanced Resonance Raman Spectroscopy, Aoife Power, John Cassidy, Tony Betts
Articles
Silver nanoparticles with a tuneable l max were produced as colloids by heterogeneous nucleation. The synthesis process is both fast and repeatable, producing stable PVA capped nanoparticles. The colloid’s effectiveness in the SERRS system was investigated using Rhodamine 6G, R6G, Crystal Violet, CV, and Malachite Green, MG, as probe molecules. A clear sensing trend was observed, where the Raman signal emitted was significantly enhanced by the addition of silver nanoparticles. A build up of signal intensity is observed until an optimum ratio is achieved, followed by a decline in signal intensity as the concentration of nanoparticles is further increased. The …
Chromium Salen, Gráinne Hargaden, Pier Giorgio Cozzi
Di-Tert Butyl Chlorosilane, Gráinne Hargaden, Timothy O'Sullivan
Di-Tert Butyl Chlorosilane, Gráinne Hargaden, Timothy O'Sullivan
Articles
No abstract provided.
On Adjoint Entropy Of Abelian Groups, Brendan Goldsmith, Ketao Gong
On Adjoint Entropy Of Abelian Groups, Brendan Goldsmith, Ketao Gong
Articles
The theory of endomorphism rings of algebraic structures allows, in a natural way, a systematic approach based on the notion of entropy borrowed from dynamical systems. In the present work we introduce a \lq dual\rq \ notion based upon the replacement of the finite groups used in the definition of algebraic entropy, by subgroups of finite index. The basic properties of this new entropy are established and a connection to Hopfian groups is investigated.
Holomorphic Liftings From Infinite Dimensional Spaces, Sean Dineen, Milena Venkova
Holomorphic Liftings From Infinite Dimensional Spaces, Sean Dineen, Milena Venkova
Articles
We obtain a number of positive solutions to a holomorphic lifting problem on a domain in a locally convex space.
Why Is An Einstein Ring Blue?, Jonathan Blackledge
Why Is An Einstein Ring Blue?, Jonathan Blackledge
Articles
Albert Einstein predicted the existence of `Einstein rings' as a consequence of his general theory of relativity. The phenomenon is a direct result of the idea that if a mass warps space-time then light (and other electromagnetic waves) will be `lensed' by the strong gravitational field produced by a large cosmological body such as a galaxy. Since 1998, when the first complete Einstein ring was observed, many more complete or partially complete Einstein rings have been observed in the radio and infrared spectra, for example, and by the Hubble Space Telescope in the optical spectrum. However, in the latter case, …
A Generalized Nonlinear Model For The Evolution Of Low Frequency Freak Waves, Jonathan Blackledge
A Generalized Nonlinear Model For The Evolution Of Low Frequency Freak Waves, Jonathan Blackledge
Articles
This paper presents a generalized model for simulating wave fields associated with the sea surface. This includes the case when `freak waves' may occur through an effect compounded in the nonlinear (cubic) Schrodinger equation. After providing brief introductions to linear sea wave models, `freak waves' and the linear and nonlinear Schrodinger equations, we present a unified model that provides for a piecewise continuous transition from a linear to a nonlinear state. This is based on introducing a fractional time derivative to develop a fractional nonlinear partial differential equation with a stochastic source function. In order to explore the characteristics of …
Cryptography Using Steganography: New Algorithms And Applications, Jonathan Blackledge
Cryptography Using Steganography: New Algorithms And Applications, Jonathan Blackledge
Articles
Developing methods for ensuring the secure exchange of information is one of the oldest occupations in history. With the revolution in Information Technology, the need for securing information and the variety of methods that have been developed to do it has expanded rapidly. Much of the technology that forms the basis for many of the techniques used today was originally conceived for use in military communications and has since found a place in a wide range of industrial and commercial sectors. This has led to the development of certain industry standards that are compounded in specific data processing algorithms together …
Application Of Stochastic Diffusion For Hiding High Fidelity Encrypted Images, Jonathan Blackledge, Abdulrahman Al-Rawi
Application Of Stochastic Diffusion For Hiding High Fidelity Encrypted Images, Jonathan Blackledge, Abdulrahman Al-Rawi
Articles
Cryptography coupled with information hiding has received increased attention in recent years and has become a major research theme because of the importance of protecting encrypted information in any Electronic Data Interchange system in a way that is both discrete and covert. One of the essential limitations in any cryptography system is that the encrypted data provides an indication on its importance which arouses suspicion and makes it vulnerable to attack. Information hiding of Steganography provides a potential solution to this issue by making the data imperceptible, the security of the hidden information being a threat only if its existence …
Non-Gaussian Analysis Of Wind Velocity Data For The Determination Of Power Quality Control, Jonathan Blackledge, Eugene Coyle, Derek Kearney
Non-Gaussian Analysis Of Wind Velocity Data For The Determination Of Power Quality Control, Jonathan Blackledge, Eugene Coyle, Derek Kearney
Articles
The quality of power (i.e. the sustainable power output as a function time) of any wind dependent energy converter (including wind turbines and wave energy converters) is determined by many design and environmental factors but timedependent variations in the wind speed are arguably the most important. In this paper we consider a non-Gaussian model for analysing and then simulating wind velocity data. In particular, we consider a Lévy distribution for the statistical characteristics of wind velocity and show how this distribution can be used to derive a stochastic fractional diffusion equation for the wind velocity as a function of time …