Miracle-dz/UniFAR-FTUs huggingface dataset:
Open-Phase Fault-Tolerant Direct Torque Control Technique for Five-Phase Induction Motor Drives

Direct torque control (DTC) has been widely used as an alternative to traditional field-oriented control (FOC) methods for three-phase drives. The conventional DTC scheme has been successfully extended to multiphase drives in recent times, using hysteresis regulators to independently track the desired torque and flux in symmetrical five-phase induction machines (IMs). The fault-tolerant capability of multiphase drives is an interesting intrinsic advantage for safety-critical applications, where recent research has demonstrated the effectiveness of FOC schemes to perform ripple-free postfault operation. In spite of the utility of DTC methods in normal operation of the multiphase machine, no extension to manage the postfault operation of the drive is found in the literature. In this paper, a novel fault-tolerant DTC scheme is presented. The performance of the proposed method is experimentally validated in a five-phase IM drive considering an open-phase fault condition. Provided tests analyze steady and transient states, including the transition from pre- to postfault operation. Obtained results prove the interest of the proposal, which ensures the open-phase fault-tolerant capability of DTC-controlled five-phase IM drives.
Panopticon as an eLearning support search tool

We present an evaluation of Panopticon, a video surrogate system, as an online eLearning support search tool for finding information within video lectures. A comparison was made with a standard video player (YouTube) in two scenarios with two classes of users: revision students and independent learners. Results showed that users of Panopticon were significantly faster at finding information within the lecture videos than users of the YouTube player. It was also found that videos predominantly featuring a talking lecturer took longest to navigate, presenting design implications for lectures to be uploaded to open eLearning platforms.
Using obstructed theatre with child designers to convey requirements

This paper describes the use of obstructed theatre as a novel design method for the elicitation of ideas from children for the design of a new mobile product. Obstructed theatre has previously been used, in this same context with adults, but this is the first paper that outlines its use with children. The paper describes the initial ideas for the script for the theatre and evaluates its use. It is shown that the method can be useful and it specifically conveyed the idea of portability and mobility but was less effective at conveying the more complex interactive ideas. Specifically the paper outlines the origins of the method, presents some reflection on the usefulness of the method and suggests how it can be used with other contexts.
Central mu opioid receptor-mediated changes in renal function in conscious rats.

Studies were performed in conscious Sprague-Dawley rats to determine whether the renal sympathetic nerves contribute to the renal excretory responses produced by central mu opioid agonist administration. Intracerebroventricular, but not i.v. injection of the selective mu opioid agonist dermorphin (0.1 nmol/kg), produced an increase in urine flow rate and a sustained decrease in urine sodium excretion. These renal excretory responses were completely prevented by pretreatment with the selective mu opioid antagonist, beta-funaltrexamine (20 micrograms, i.c.v.). Central dermorphin administration did not alter glomerular filtration rate or effective renal plasma flow. In contrast, efferent renal sympathetic nerve activity increased over the same time frame as the reduction in urinary sodium excretion. To investigate whether the dermorphin-induced antinatriuretic response was mediated via the increase in renal sympathetic nerve activity, experiments were repeated in Sprague-Dawley rats that had undergone chronic bilateral renal denervation. In renal denervated rats, i.c. v. dermorphin produced similar diuretic and antinatriuretic responses as were seen in rats with an intact renal innervation. Together, these studies indicate that the changes in urine flow rate and urinary sodium excretion produced by i.c. v. dermorphin were not mediated via central induced changes in renal hemodynamics or sympathetic outflow to the kidneys. Because an antinatriuretic response occurred in renal denervated animals, this suggests that central mu opioid receptor agonists may exert an influence on tubular reabsorption of sodium via mu opioid receptor-mediated mechanisms independent of intact renal innervation.
Biomarkers in Maternal and Newborn Blood Indicate Heightened Fetal Susceptibility to Procarcinogenic DNA Damage

Polycyclic aromatic hydrocarbons (PAHs) such as benzo[a]pyrene (BaP) are widespread air contaminants released by transportation vehicles, power generation, and other combustion sources. Experimental evidence indicates that the developing fetus is more susceptible than the adult to carcinogenic effects of PAHs, although laboratory studies in rodents suggest that the dose to fetal tissues is an order of magnitude lower than that to maternal tissues. To assess fetal versus adult susceptibility to PAHs and environmental tobacco smoke (ETS), we compared carcinogen-DNA adducts (a biomarker associated with increased cancer risk) and cotinine (a biomarker of tobacco smoke exposure) in paired blood samples collected from mothers and newborns in New York City. We enrolled 265 nonsmoker African-American and Latina mother–newborn pairs in New York City between 1997 and 2001 (estimated average ambient air BaP concentrations < 0.5 ng/m3). Despite the estimated 10-fold lower fetal dose, mean levels of BaP-DNA adducts as determined by high-performance liquid chromatography–fluorescence were comparable in paired New York City newborn and maternal samples (0.24 adducts per 108 nucleotides, 45% of newborns with detectable adducts vs. 0.22 per 108 nucleotides, 41% of mothers with detectable adducts). However, by the Wilcoxon signed-rank test, the levels in newborns were higher (p = 0.02). Mean cotinine was higher in newborns than in mothers (1.7 ng/mL, 47% detectable vs. 1.28 ng/mL, 44% detectable). Consistent with our prior study in a Caucasian Polish population, these results indicate increased susceptibility of the fetus to DNA damage and reduced ability to clear ETS constituents. The findings have implications for risk assessment, given the need to protect children as a sensitive subset of the population.
An aspect of sentence processing in Alzheimer's disease

Article abstract-We assessed sentence processing in Alzheimer's disease (AD) with measures of sentence-picture matching, grammaticality judgments of sentences, and sentence completion. The results demonstrated significant and consistent difficulty with a grammatical feature of sentences on all three experiments. This impairment could not be explained by factors such as sentence length, dementia severity, or a short-term memory deficit and was independent of difficulty interpreting the meanings of words. We hypothesize that AD patients are impaired at appreciating the conceptual relations that underlie certain grammatical features of sentences. NEUROLOGY 1995;45: 85-91
Evaluation of a rat testis homogenate radioligand receptor assay for human pituitary LH.

A rat testis homogenate radioligand receptor assay (RTH-RLA) has been characterized with respect to its usefulness for measurement of LH activity in fractions derived from human pituitary glands. The precision of the RTH-RLA appears adequate as judged by standard statistical analysis of inter- and intra-assay variations in response. The accuracy and specificity of the RTHRLA was determined by measurement of hLH activity in a variety of human pituitary fractions having widely divergent contents of LH, FSH and TSH, and comparison of these results with those obtained using the ovarian ascorbic acid depletion (OAAD) and ventral prostate growth (VPW) bioassays. LER-907 was the reference preparation for all assays used in these comparisons. However LER-907, the 2nd IRP-HMG and the 2nd IS-hCG all gave parallel inhibition curves in the RTHRLA. The mean index of discrimination (ID) RLA/OAAD for measurement of LH content in 20 human pituitary glycoprotein hormone preparations was 1.29. The mean ID RLA/VPW for 8 sim.
Phantom with Pulsatile Arteries to Investigate the Influence of Blood Vessel Depth on Pulse Oximeter Signal Strength

This paper describes a three-layer head phantom with artificial pulsating arteries at five different depths (1.2 mm, 3.7 mm, 6.8 mm, 9.6 mm and 11.8 mm). The structure enables formation of spatially and temporally varying tissue properties similar to those of living tissues. In our experiment, pressure pulses were generated in the arteries by an electronically controlled pump. The physical and optical parameters of the layers and the liquid in the artificial arteries were similar to those of real tissues and blood. The amplitude of the pulsating component of the light returning from the phantom tissues was measured at each artery depth mentioned above. The build-up of the in-house-developed pulse oximeter used for performing the measurements and the physical layout of the measuring head are described. The radiant flux generated by the LED on the measuring head was measured to be 1.8 mW at 910 nm. The backscattered radiant flux was measured, and found to be 0.46 nW (0.26 ppm), 0.55 nW (0.31 ppm), and 0.18 nW (0.10 ppm) for the 1.2 mm, 3.7 mm and 6.8 mm arteries, respectively. In the case of the 9.6 mm and 11.8 mm arteries, useful measurement data were not obtained owing to weak signals. We simulated the phantom with the arteries at the above-mentioned five depths and at two additional ones (2.5 mm and 5.3 mm in depth) using the Monte Carlo method. The measurement results were verified by the simulation results. We concluded that in case of 11 mm source-detector separation the arteries at a depth of about 2.5 mm generate the strongest pulse oximeter signal level in a tissue system comprising three layers of thicknesses: 1.5 mm (skin), 5.0 mm (skull), and >50 mm (brain).
Search-based techniques applied to optimization of project planning for a massive maintenance project

This paper evaluates the use of three different search-based techniques, namely genetic algorithms, hill climbing and simulated annealing, and two problem representations, for planning resource allocation in large massive maintenance projects. In particular, the search-based approach aims to find an optimal or near optimal order in which to allocate work packages to programming teams, in order to minimize the project duration. The approach is validated by an empirical study of a large, commercial Y2K massive maintenance project, which compares these techniques with each other and with a random search (to provide base line comparison data). Results show that an ordering-based genome encoding (with tailored cross over operator) and the genetic algorithm appear to provide the most robust solution, though the hill climbing approach also performs well. The best search technique results reduce the project duration by as much as 50%.
Silicon Nanophotonics for Many-Core On-Chip Networks

Number of cores in many-core architectures are scaling to unprecedented levels requiring ever increasing communication capacity. Traditionally, architects follow the path of higher throughput at the expense of latency. This trend has evolved into being problematic for performance in many-core architectures. Moreover, the trends of power consumption is increasing with system scaling mandating nontraditional solutions. Nanophotonics can address these problems, offering benefits in the three frontiers of many-core processor design: Latency, bandwidth, and power. Nanophotonics leverage circuit-switching flow control allowing low latency; in addition, the power consumption of optical links is significantly lower compared to their electrical counterparts at intermediate and long links. Finally, through wave division multiplexing, we can keep the high bandwidth trends without sacrificing the throughput. This thesis focuses on realizing nanophotonics for communication in many-core architectures at different design levels considering reliability challenges that our fabrication and measurements reveal. First, we study how to design on-chip networks for low latency, low power, and high bandwidth by exploiting the full potential of nanophotonics. The design process con- siders device level limitations and capabilities on one hand, and system level demands in terms of power and performance on the other hand. The design involves the choice of devices, designing the optical link, the topology, the arbitration technique, and the routing mechanism. Next, we address the problem of reliability in on-chip networks. Reliability not only degrades performance but can block communication. Hence, we propose a reliability-aware design flow and present a reliability management technique based on this flow to address reliability in the system. In the proposed flow reliability is modeled and analyzed for at the device, architecture, and system level. Our reliability management technique is superior to existing solutions in terms of power and performance. In fact, our solution can scale to thousand core with low overhead.
Tag-based collaborative filtering recommendation in personal learning environments

The personal learning environment (PLE) concept offers a learner-centric view of learning and suggests a shift from knowledge-push to knowledge-pull approach to learning. One concern with a PLE-driven knowledge-pull approach to learning, however, is information overload. Recommender systems can provide an effective mechanism to deal with the information overload problem in PLEs. In this paper, we study different tag-based collaborative filtering recommendation techniques on their applicability and effectiveness in PLE settings. We implement 16 different tag-based collaborative filtering recommendation algorithms, memory based as well as model based, and compare them in terms of accuracy and user satisfaction. The results of the conducted offline and user evaluations reveal that the quality of user experience does not correlate with high-recommendation accuracy.
Multifactorial determinants that govern nanoparticle uptake by human endothelial cells under flow

Vascular endothelium is a potential target for therapeutic intervention in diverse pathological processes, including inflammation, atherosclerosis, and thrombosis. By virtue of their intravascular topography, endothelial cells are exposed to dynamically changing mechanical forces that are generated by blood flow. In the present study, we investigated the interactions of negatively charged 2.7 nm and 4.7 nm CdTe quantum dots and 50 nm silica particles with cultured endothelial cells under regulated shear stress (SS) conditions. Cultured cells within the engineered microfluidic channels were exposed to nanoparticles under static condition or under low, medium, and high SS rates (0.05, 0.1, and 0.5 Pa, respectively). Vascular inflammation and associated endothelial damage were simulated by treatment with tumor necrosis factor-α (TNF-α) or by compromising the cell membrane with the use of low Triton X-100 concentration. Our results demonstrate that SS is critical for nanoparticle uptake by endothelial cells. Maximal uptake was registered at the SS rate of 0.05 Pa. By contrast, endothelial exposure to mild detergents or TNF-α treatment had no significant effect on nanoparticle uptake. Atomic force microscopy demonstrated the increased formation of actin-based cytoskeletal structures, including stress fibers and membrane ruffles, which have been associated with nanoparticle endocytosis. In conclusion, the combinatorial effects of SS rates, vascular endothelial conditions, and nanoparticle physical and chemical properties must be taken into account for the successful design of nanoparticle–drug conjugates intended for parenteral delivery.
A review of evolutionary multiobjective optimization applications in the area of production research

Evolutionary computation methods have been used extensively in the past for the solution of manufacturing optimization problems. This work examines the impact of the fast-growing evolutionary multiobjective optimization field in this area of research. A considerable number of significant applications are reported for a wide range of relevant optimization problems. The review of these applications leads to a number of conclusions and establishes directions for future research.
A Safety Preservation Type Vision System Based on Probabilistic Measures

The study concerns a safety vision system for human-robot collaborative work environments. The vision system is characteristic of having a freedom from structuring the environment by setting passive markings, i.e. neither painting on the floor nor hanging a camera up on a ceiling is necessary. To preserve safety states, we set the passive markings in the original image based upon Shannon information quantity and to monitor the states by the drastic changes in the measures of Kullback-Leibler divergence and Levy-distance. Our experimental result shows that all of the markings are successfully traced even when the camera view angle is changed and that the system detects any difference of an image from the original one as a human hand intrudes to the detection area. We discuss the performance of the applied measures from a detectability view point.
Global Analysis of New Malaria Intrahost Models with a Competitive Exclusion Principle

In this paper we propose a malaria within-host model with k classes of age for the parasitized red blood cells and n strains for the parasite. We provide a global analysis for this model. A competitive exclusion principle holds. If R0, the basic reproduction number, satisfies R0 1, then generically there is a unique endemic equilibrium which corresponds to the endemic stabilization of the most virulent parasite strain and to the extinction of all the other parasites strains. We prove that this equilibrium is globally asymptotically stable on the positive orthant if a mild sufficient condition is satisfied.
HANDLING SEVERAL FLUIDS IN COMPUTER GRAPHICS SIMULATIONS

Fluid dynamics governed by Navier-Stokes equations is already solved for decades but the recent trend in computer graphics is to modify the simulation such that it easily controllable for the purpose of computer animation or real time fluid animation. In Eulerian approach, fields must be discretized in space, making these techniques inherently mesh-based. Each mesh cell represents an approximation of the infinitesimal volume at a fixed position in space and during the simulation monitors the evaluation of state variables at that location. Our approach is an extension of a well known Marker-and-Cell (MAC) fluid simulation method, within each cell we define density and pressure in center and fluid velocities on the walls separately in each 6 directions. To simulate several fluids, we propose the modification of Volume-of-Fluid (VOF) method enabling us to tract the fluid surface and integrate it into the multiphase-fluid approach. A mixture of fluids is treated as a single fluid having variable density and viscosity. This scheme allows two or more fluids having different densities and viscosities to be simulated simultaneously. We simulate a one-way solid fluid interaction (either solid influences the velocity of the fluid or fluid moves the solid) that requires having fine details in the colliding areas. To cope with this problem we use an unrestricted octree data structure with adaptive mesh refinement technique to enable higher level of detail and solve Navier Stokes equations for multiple fluids. We propose the technique for discretizing the Poisson equation on octree grid. The resulting linear system is symmetric positive definite enabling the use of fast solution methods, while the standard approximation to the Poisson equation on an octree grid results in a non-symmetric linear system which is more computationally challenging. Finally, we show several fluid flow animations with static obstacles, floating objects colliding each other. Mathematics Subject Classification 2000: I.3. 5, I.3. 7 Additional
Semi-automatic Ontology Construction based on Patterns

This thesis aims to improve the ontology engineering process, by providing better semiautomatic support for constructing ontologies and introducing knowledge reuse through ontology patterns. The thesis introduces a typology of patterns, a general framework of pattern-based semi-automatic ontology construction called OntoCase, and provides a set of methods to solve some specific tasks within this framework. Experimental results indicate some benefits and drawbacks of both ontology patterns, in general, and semi-automatic ontology engineering using patterns, the OntoCase framework, in particular. The general setting of this thesis is the field of information logistics, which focuses on how to provide the right information at the right moment in time to the right person or organisation, sent through the right medium. The thesis focuses on constructing enterprise ontologies to be used for structuring and retrieving information related to a certain enterprise. This means that the ontologies are quite 'light weight' in terms of logical complexity and expressiveness. Applying ontology content design patterns within semi-automatic ontology construction, i.e. ontology learning, is a novel approach. The main contributions of this thesis are a typology of patterns together with a pattern catalogue, an overall framework for semi-automatic patternbased ontology construction, specific methods for solving partial problems within this framework, and evaluation results showing the characteristics of ontologies constructed semiautomatically based on patterns. Results show that it is possible to improve the results of typical existing ontology learning methods by selecting and reusing patterns. OntoCase is able to introduce a general top-structure to the ontologies, and by exploiting background knowledge, the ontology is given a richer structure than when patterns are not applied.
The Quantum Reverse Shannon Theorem and Resource Tradeoffs for Simulating Quantum Channels

Dual to the usual noisy channel coding problem, where a noisy (classical or quantum) channel is used to simulate a noiseless one, reverse Shannon theorems concern the use of noiseless channels to simulate noisy ones, and more generally the use of one noisy channel to simulate another. For channels of nonzero capacity, this simulation is always possible, but for it to be efficient, auxiliary resources of the proper kind and amount are generally required. In the classical case, shared randomness between sender and receiver is a sufficient auxiliary resource, regardless of the nature of the source, but in the quantum case, the requisite auxiliary resources for efficient simulation depend on both the channel being simulated, and the source from which the channel inputs are coming. For tensor power sources (the quantum generalization of classical memoryless sources), entanglement in the form of standard ebits (maximally entangled pairs of qubits) is sufficient, but for general sources, which may be arbitrarily correlated or entangled across channel inputs, additional resources, such as entanglement-embezzling states or backward communication, are generally needed. Combining existing and new results, we establish the amounts of communication and auxiliary resources needed in both the classical and quantum cases, the tradeoffs among them, and the loss of simulation efficiency when auxiliary resources are absent or insufficient. In particular, we find a new single-letter expression for the excess forward communication cost of coherent feedback simulations of quantum channels (i.e., simulations in which the sender retains what would escape into the environment in an ordinary simulation), on nontensor-power sources in the presence of unlimited ebits but no other auxiliary resource. Our results on tensor power sources establish a strong converse to the entanglement-assisted capacity theorem.