Experimental control of deformability at short-term loadings in testing large-span prestressed structures

The problems in giving significance to the experimental control of deformability at short-term loadings of large-span prestressed structures in order to draw reliable conclusions on their static behaviour have been examined. With this aim the necessity of an exact evaluation of the elastic modulus of concrete together with the importance of its experimental measurement, which is too imprecise if deduced from the strength of concrete, have been pointed out. The work also shows how, by reducing uncertainty in calculating deflection, modulus measurement directly on the structure's concrete (and not only on specimens cast during construction) improves reliability in the evaluation of the static validity of the construction and the exactness of its modelling. In this regard the ultrasonic method can prove very useful. However, we have shown that it can give wrong results—especially when the load test is carried out long after the casting—if we do not make suitable corrections to take into account the evolution with time of the correlation between static and dynamic moduli, an aspect that is usually neglected.     

Acoustic detection of single particles for neutrino experiments and dark matter searches

We are developing an entirely new type of particle detector, called a silicon crystal acoustic detector (SiCAD), which senses ballistic phonons generated when an incident particle collides with a nucleus or electron in a cube of crystalline silicon. For events which deposit energy greater than about 1 keV, a 1 kg SiCAD would have spatial resolution better than 1 mm³and energy resolution better than 100 eV. We describe our laboratory research utilizing carbon thermistors, superconducting transition edge devices, and superconducting tunnel junctions as phonon sensors on the crystal faces.     

Calcium oxide and potassium hydroxide catalysed low temperature methane production from graphite and water Comparison of catalytic mechanisms

An experimental study was carried out to obtain information on the catalytic mechanisms involved in the methanation of graphite using, separately, potassium and calcium as catalysts, and water and/or hydrogen as reactants. The mechanisms for the potassium-catalysed graphite—water reaction appear to be the same in the wide temperature range from 473 to 873 K as indicated by the constant activation energy, 46 kJ mol^?1, found for methane production. The intercalation of potassium into the graphite as a possible step in the methane synthesis has been investigated and ruled out. XPS studies indicate the formation of an active form of more positively charged carbon from graphite when graphite is heated at low temperature in the presence of a calcium catalyst and water vapour. The activation energy for this carbon depolymerization reaction is 68.1 kJ mol^?1. Methane formation occurs only in the presence of hydrogen due to its reaction with the active carbon with an activation energy of 106.6 kJ mol^?1.     

Chromium levels in potable water, fruit juices and soft drinks: influence on dietary intake

Potable water, fruit juices and soft drinks are some of the most widespread beverages in the habitual diet, and they can contribute to chromium dietary intake. We determined the concentration of chromium in 90 different samples of beverages widely consumed in Spain. Graphite furnace atomic absorption spectrometry was used to analyze samples processed with a HNO3-V2O5 acid digestion pretreatment. In water samples Cr was directly determined. We verified the sensitivity, accuracy and precision of the method and ruled out matrix interferences. In analyzed samples, chromium values ranged from not detectable to 11.80 micrograms/l in potable water, from not detectable to 17.60 micrograms/l in fruit juices and from 3.60 to 60.50 micrograms/l in soft drinks. The chromium levels we encountered are low and the contribution of non-alcoholic beverages to dietary intake of this element, have been estimated to be 0.41 microgram/day in the common Spanish diet.     

The inventory-routing problem with transshipment

This paper introduces the Inventory-Routing Problem with Transshipment (IRPT). This problem arises when vehicle routing and inventory decisions must be made simultaneously, which is typically the case in vendor-managed inventory systems. Heuristics and exact algorithms have already been proposed for the Inventory-Routing Problem (IRP), but these algorithms ignore the possibility of performing transshipments between customers so as to further reduce the overall cost. We present a formulation that allows transshipments, either from the supplier to customers or between customers. We also propose an adaptive large neighborhood search heuristic to solve the problem. This heuristic manipulates vehicle routes while the remaining problem of determining delivery quantities and transshipment moves is solved through a network flow algorithm. Our approach can solve four different variants of the problem: the IRP and the IRPT, under maximum level and order-up-to level policies. We perform an extensive assessment of the performance of our heuristic.     

A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides

Tertiary Protein Structure Prediction is one of the most important problems in Structural Bioinformatics. Along the last 20 years many algorithms have been proposed as to solve this problem. However, it still remains a challenging issue because of the complexity and of the dimensionality of the protein conformational search space. In this article a first principle method which uses database information for the prediction of the 3-D structure of polypeptides is presented. The technique is based on the Group Method of Data Handling (GMDH) algorithm, implemented by a software tool introduced on this work. GMDH Polynomial Neural Networks have been used with success in many fields such as data mining, knowledge discovery, pattern recognition and prediction. The proposed method was tested with seven protein sequences whose sizes vary from 14 to 54 amino acid residues. Results show that the predicted tertiary structures adopt a fold similar to the experimental structures. RMSD and secondary structure analysis reveal that the proposed method present accurate results in their predictions. The predicted structures can be used as input structures in refinement methods based on molecular mechanics (MM), e.g. molecular dynamics (MD) simulations. The search space is expected to be greatly reduced and the ab initio methods can demand a much reduced computational time to achieve a more accurate polypeptide structure.     

Stochastic modelling of peer-assisted VoD streaming in managed networks

Video on Demand is the leading service in Internet Protocol Television environments both in popularity and in quantity of generated traffic. Peer-assisted streaming in combination with an optimal distribution of the video contents on the peers has emerged as one of the most accepted solutions by the operators, especially in the privately managed networks, which helps to alleviate the streaming servers. However, an important question in these environments is how the system parameters and the various distributions of the video contents on the peers would impact the overall system performance. In order to give answers to these questions, we propose a precise and flexible stochastic model that takes into consideration parameters like uplink and storage capacity of the peers, number of peers, size of the video content library, size of contents and content distribution scheme to estimate the benefits of the peer-assisted streaming. We use this model as a tool that helps to find the optimal values of these parameters for best performance, as well as the limits of the system for a given configuration.     

Glissando: a corpus for multidisciplinary prosodic studies in Spanish and Catalan

Literature review on prosody reveals the lack of corpora for prosodic studies in Catalan and Spanish. In this paper, we present a corpus intended to fill this gap. The corpus comprises two distinct data-sets, a news subcorpus and a dialogue subcorpus, the latter containing either conversational or task-oriented speech. More than 25 h were recorded by twenty eight speakers per language. Among these speakers, eight were professional (four radio news broadcasters and four advertising actors). The entire material presented here has been transcribed, aligned with the acoustic signal and prosodically annotated. Two major objectives have guided the design of this project: (i) to offer a wide coverage of representative real-life communicative situations which allow for the characterization of prosody in these two languages; and (ii) to conduct research studies which enable us to contrast the speakers different speaking styles and discursive practices. All material contained in the corpus is provided under a Creative Commons Attribution 3.0 Unported License.     

A reduced memory bandwidth and high throughput HDTV motion compensation decoder for H.264/AVC High 4:2:2 profile

This article presents the HP422-MoCHA: optimized Motion Compensation hardware architecture for the High 4:2:2 profile of H.264/AVC video coding standard. The proposed design focuses on real-time decoding for HDTV 1080p (1,920 × 1,080 pixels) at 30 fps. It supports multiple sample bit-width (8, 9, or 10 bits) and multiple chroma sub-sampling formats (4:0:0, 4:2:0, and 4:2:2) to provide enhanced video quality experience. The architecture includes an optimized sample interpolator that processes luma and chroma samples in two parallel datapaths and features quarter sample accuracy, bi-prediction and weighted prediction. HP422-MoCHA also includes a hardwired Motion Vector Predictor, supporting temporal and spatial direct predictions. A novel memory hierarchy implemented as a 3-D Cache reduces the frame memory access, providing, on average, 62% of bandwidth and 80% of clock cycles reduction. The design was implemented in a Xilinx Virtex-II PRO FPGA, and also in an ASIC with a TSMC 0.18 μm standard cells technology. The ASIC implementation occupies 102 K equivalent gates and 56.5 KB of on-chip SRAM in a 3.8 × 3.4 mm² area. It presents a power consumption of 130 mW. Both implementations reach a maximum operation frequency of ~100 MHz, being able to motion compensate 37 bi-predictive frames or 69 predictive fps. The minimum required frequency to ensure the real-time decoding for HD1080p at 30 fps is 82 MHz. Since HP422-MoCHA is the first Motion Compensation architecture for the High 4:2:2 profile found in the literature, a Main profile MoCHA was used for comparison purposes, showing the highest throughput among all presented works. However, the HP422-MoCHA architecture also reaches the highest throughput when compared with the other published Main profile MC solutions, even considering the significantly higher complexity of the High 4:2:2 profile.     

A neuroergonomic approach to evaluating mental workload in hypermedia interactions

Neuroergonomics could provide on-line methods for measuring mental effort while the operator interacts with hypermedia. We present an experimental study in which 28 participants interacted with a modified version of an existing Spanish e-commerce website in two searching tasks (Goal oriented shopping and Experiential shopping) that demand different amounts of cognitive resources. Mental workload was evaluated multidimensionally, using subjective rating, an interaction index, and eye-related indices. Eye movements and pupil diameter were recorded. The results showed visual scanning behaviour coincided with subjective test scores and performance data in showing a higher information processing load in Goal oriented shopping. However, pupil diameter was able to detect only the variation in user activation during the interaction task, a finding that replicates previous results on the validity of pupil size as an index of arousal. We conclude that a neuroergonomics approach could be a useful method for detecting variations in operators’ attentional states.

Relevance to industry

These results could provide important information for the development of a new attentional screening tool for the prevention of accidents in several application domains.