Morphological mismatches in machine translation

This paper addresses one of the least studied, although very important, problems of machine translation—the problem of morphological mismatches between languages and their handling during transfer. The level at which we assume transfer to be carried out is the Deep-Syntactic Structure (DSyntS) as proposed in the Meaning-Text Theory. DSyntS is abstract enough to avoid all types of surface morphological divergences. For the remaining ‘genuine’ divergences between grammatical significations, we propose a morphological transfer model. To illustrate this model, we apply it to the transfer of grammemes of definiteness and aspect for the language pair Russian–German and German–Russian, respectively.     

Multi-matrix opto-electronic system for measuring deformation of the millimeter range radiotelescope elements

A novel optical instrument is proposed and studied to measure the deformation of each connection point for a mirror, which includes 24 multi-matrix base units and can be used in millimeter-scale signal reflection systems. Experimental investigations reveal that the error of measurement is σ=8.7×10-3 mm at a distance of 5 500 mm, which allows to measure the linear deformation of a radiotelescope with the mirror diameter of 70 m.     

Controlling the complexity in model-based diagnosis

We present IDA — an incrementaldiagnosticalgorithm which computes minimal diagnoses from diagnoses, and not from conflicts. As a consequence of this, and by using different models, one can control the computational complexity. In particular, we show that by using a model of the normal behavior, the worst-case complexity of the algorithm to compute thek+1st minimal diagnosis isO(n ^2k ), wheren is the number of components. On the practical side, an experimental evaluation indicates that the algorithm can efficiently diagnose devices consisting of a few thousand components. We propose to use a hierarchy of models: first a structural model to compute all minimal diagnoses, then a normal behavior model to find the additional diagnoses if needed, and only then a fault model for their verification. IDA separates model interpretation from the search for minimal diagnoses in the sense that the model interpreter is replaceable. In particular, we show that in some domains it is advantageous to use the constraint logic programming system CLP(ß) instead of a logic programming system like Prolog.This is an extended version of the paper by Igor Mozeti, A polynomial-time algorithm for model-based diagnosis, which appears in theProc. European Conf. on Artificial Intelligence, ECAI-92, ed. B. Neumann (Wiley, 1992) pp. 729–733.     

Gender and Personality Trait Measures Impact Degree of Affect Change in a Hedonic Computing Paradigm

To date, affective computing research has acknowledged individual differences with regard to detecting affect, yet little research has explored how these individual differences may determine the degree to which affective computing is successful in manipulating the affect of specific computer users. The current study used individual difference measures to predict how much an individual can be influenced by a hedonic computing paradigm: a simple trivia game. Female participants responded in a greater way to positive affective feedback about their performance than did men. Moreover, several personality traits, including neuroticism, narcissism, self-esteem, and extraversion, augmented the degree to which affect changed as a result of playing the game. The results are consistent with the gender differences hypothesis, and the authors conclude that individual differences, particularly gender and personality traits, play a large role in the potential impact of computing platforms and would be useful in personalizing the affective nature of the human–computer interaction.     

Microwave-induced regeneration of activated carbons polluted with phenol. A comparison with conventional thermal regeneration

Thermal regeneration of activated carbons (AC) was carried out at 1123 K and under N₂ atmosphere. Experiments have been carried out using a single mode microwave device operating at 2450 MHz and a conventional electric furnace (EF) so as to compare the effect of the different heating mechanisms on the adsorptive capacities of the regenerated AC. The adsorbents were saturated with phenol in columns. Adsorptive capacities after subsequent regeneration cycles were evaluated from the breakthrough curves. Additionally, a complete textural and chemical characterization of the regenerated samples was also carried out in order to study the influence of the subsequent regeneration cycles on the texture and the adsorptive capacities of the AC. Textural characterization of the regenerated samples was carried out by means of N₂ adsorption isotherms at 77 K.     

Proteomics in paediatric cardiac surgery: Is a personalised approach feasible?

The incidence of congenital cardiac abnormalities remains high. Paediatric patients with congenital cardiac defects often require surgery at a young age. The surgeries are often long and complex, rendering this population particularly vulnerable to the deleterious effects of cardiopulmonary bypass and cardiac surgery. The search for cardioprotective strategies is ongoing in an attempt to reduce the morbidity in this population. In the post-genomic era, it is apparent that simply determining the genomic sequences holds little diagnostic potential and means to determine progression of disease and response to treatment. The field of proteomics is expanding and application of proteomic techniques in the clinical setting holds great potential to advance our understanding of the proteomic changes involved in specific disease stages. This review will assess the application of proteomic techniques in the setting of paediatric cardiac surgery and highlight the need to obtain a clear understanding of the role of various proteins in children with cardiac conditions. The success and challenges of the available proteomic technology will be discussed as well as the future potential of proteomic methods for advancing our understanding of protein changes in children requiring cardiac surgery.     

Random Walks,Bisections and Gossiping in Circulant Graphs

Circulant graphs are regular graphs based on Cayley graphs defined on the Abelian group \(\mathbb{Z}_{n}\) . They are popular network topologies that arise in distributed computing. Using number theoretical tools, we first prove two main results for random directed k-regular circulant graphs with n vertices, when n is sufficiently large and k is fixed. First, for any fixed ε>0, n=p prime and L≥p ^1/k (logp)^1+1/k+ε , walks of length at most L terminate at every vertex with asymptotically the same probability. Second, for any n, there is a polynomial time algorithm that for almost all undirected 2r-regular circulant graphs finds a vertex bisector and an edge bisector, both of size less than n ^1?1/r+o(1). We then prove that the latter result also holds for all (rather than for almost all) 2r-regular circulant graphs with n=p, prime, vertices, while, in general, it does not hold for composite n. Using the bisection results, we provide lower bounds on the number of rounds required by any gossiping algorithms for any n. We introduce generic distributed algorithms to solve the gossip problem in any circulant graphs. We illustrate the efficiency of these algorithms by giving nearly matching upper bounds of the number of rounds required by these algorithms in the vertex-disjoint and the edge-disjoint paths communication models in particular circulant graphs.     

Mullite–Nickel Magnetic Nanocomposite Fibers Obtained from Electrospinning Followed by Thermal Reduction

Mullite–nickel nanocomposite fibers with Ni nanoparticles of controllable size, dispersion, and consequent magnetic properties were fabricated using sol–gel/electrospinning method, followed by thermal reduction. The fibers were electrospun from an aqueous solution containing sol–gel mullite precursor and nickel nitrate. These fibers were then heat treated in the reducing atmosphere between 550°C and 750°C to achieve fine‐dis persed metallic Ni nanoparticles (NPs). After the Ni²⁺ was reduced to Ni NPs at 750°C for 10 h, the fibers were then directly transformed to the mullite fibers at 1000°C without the undesirable intermediate spinel phase. In many high‐temperature applications, mullite is the desired phase than spinel. If not fully reduced, the Ni²⁺ cations induce early precipitation of spinel phase before mullite can be formed. This spinel phase was a solid solution between Al₂NiO₄ and Al‐Si spinels, which later reacted with the residual silica and formed a mixture of mullite and spinel at 1400°C. The formation of spinel phase was suppressed or fully eliminated with chemically reducing Ni²⁺ to metal NPs. The average size of nickel NPs within the fibers was ~20 nm, insensitive of the Ni concentration and reducing temperature. However, the Ni NPs on the fiber surface grew as large as ~80 nm due to fast surface diffusion. The magnetic nanocomposites exhibited ferromagnetism with saturation magnetization (M_s) close to pure nickel of the same nominal weight, but coercivity (H_c) much smaller than the bulk nickel, indicating the nature of bimodal magnetic nanoparticle distributions. The majority of small Ni NPs (~20 nm) within the fibers exhibited superparamagnetism, while the minor portion of relatively large NPs (50–80 nm) showed ferromagnetism.     

New equipment for microwave electric field visualization

We present the operation and design of newly developed, fully automatic equipment for the visualization of microwave electric fields. This equipment enables the observation of microwave field patterns around different objects including metamaterial prototypes and to study the field patterns of various microwave antennas and other objects that have been developed and that interact with a surrounding microwave electromagnetic field. Moreover, the developed prototypes whose interaction with an incident electromagnetic wave is crucial for practical applications can be investigated using size scaling, and hence our equipment can be used for the testing of antennas and other devices that interact with electromagnetic radiation, not only at microwave frequencies, but also at radio frequencies. The performance of our innovative equipment was demonstrated through the investigation of the metamaterial cloak. The frequency behavior of the metamaterial cloak revealed frequency bands with maximum cloaking efficiencies.