Miracle-dz/UniFAR-FTUs huggingface dataset:
A remote control interface for large displays

We describe a new widget and interaction technique, known as a "Frisbee," for interacting with areas of a large display that are difficult or impossible to access directly. A frisbee is simply a portal to another part of the display. It consists of a local "telescope" and a remote "target". The remote data surrounded by the target is drawn in the telescope and interactions performed within it are applied on the remote data. In this paper we define the behavior of frisbees, show unique affordances of the widget, and discuss design characteristics. We have implemented a test application and report on an experiment that shows the benefit of using the frisbee on a large display. Our results suggest that the frisbee is preferred over walking back and forth to the local and remote spaces at a distance of 4.5 feet.
A Problem-Action Relation Extraction Based on Causality Patterns of Clinical Events in Discharge Summaries

Medical knowledge extraction has great potential to improve the treatment quality of hospitals. In this paper, we propose a clinical problem-action relation extraction method. It is based on clinical semantic units and event causality patterns in order to present a chronological view of a patient's problem and a physician's action. Based on our observation, a clinical semantic unit is defined as a conceptual medical knowledge for a problem and/or action. Since a clinical event is a basic concept of the problem-action relation, events are detected from clinical texts based on conditional random fields. A clinical semantic unit is segmented from a sentence based on time expressions and inherent structure of events. Then, a clinical semantic unit is classified into a problem and/or action relation based on event causality features in support vector machines. The experimental result on Korean medical collection shows 78.8% in F-measure when given the answer of clinical events. This result shows that the proposed method is effective for extracting clinical problem-action relations.
Development of Three-dimensional Body Scan Method in Measuring Body Surface

A new camera calibration with regard to a slit laser projection method has been developed to calibrate the camera system that has its own intrinsic problems of aberration and distortion. This method using digital image processing techniques can accurately measure a human body as three-dimensional (3-D) coordinates with a typical optical triangulation method. Therefore it can overcome many difficulties in a traditional inaccurate and time-consuming tactic measurement method such as Martin measurement using rulers and gauges. In comparison with other commercialized scanners, this system can obtain a relatively wide range of data by special scanning processes in which vertical or horizontal laser line profiles are simultaneously acquired by two opposite side charge-coupled device cameras. The measurement method of body dimension for 3-D pattern design using scanned body data is presented. The algorithm of shadow moiré type without its complex installation can successfully generate the moiré patterns on 3-D measured data for an efficient human body measurement with no contact.
Contribution à l'étude d'un béton de bois : mise au point d'un procédé de minimisation des variations dimensionnelles d'un composite argile-ciment-bois

This experimental study focuses on the development of a clay-cement-wood, loadbearing insulating composite with small size variations. A study of the influence of this composite's constituents on its thermophysical characteristics was conducted and showed that lightening the weight by means of wood chips serves: to reduce the density of both the composite and its matrix; to decrease its mechanical strength and thermal conductivity; and finally, to generate significant size variations. Adding cement or inert fines to the water results in increasing the material's density (and, consequently, its mechanical strength) as well as in reducing these size variations. The material's composition has been optimized through establishing a compromise between minimizing the size variations and maximizing its thermal insulation capacity; nonetheless, size variations reaching 3. 5 mm/m are still encountered. In order to limit these variations to 1 mm/m, which was taken as the target value, a size variation reduction analysis was carried out on the material's elements apparently responsible for this phenomenon, being the matrix and the wood chips. This study consisted of performing various treatments on the wood chips (by impregnation, by coating and by hydrolysis) in addition to providing the matrix with a fibrous structure. It was highlighted herein that the mechanism at work behind the size variations is directly govemed by the type of transformations induced by including the wood chips in the matrix during mixing. In contrast, the instability in size of the wood itself exerts little influence on the composite's size variations after hardening. Since size variations at the limit states were confined to 1 mm/rn, we decided to assess the influence of wood chip treatment on the composite's thermal and mechanical characteristics.
The enhancement of neuronal cells wound healing with non-contact electric field stimulation by graphene electrodes

Electrical stimulation affects cellular behaviors including division, migration and wound healing [1-3]. Cellular injury often occurs due to the imbalance of the endogenous electric field [3]. In order to recover from the injury, wound healing process requires various cellular changes such as regeneration, migration, and the enhancement of cytoskeletal proteins and growth factors. In previous reports, a weak non-contact electric field stimulation (nEFS) accelerates the cell migration as well as cell-to-cell coupling between neuronal cell junction which are accompanied by increasing of cytoskeletal proteins [4, 5]. In this paper, we further investigated the wound healing effect of the nEFS in the neuronal cells (SHSY5Y cells) with live cell optical imaging. Cells were cultured over the optically transparent graphenen EF stimulator. Cellular behavioral changes upon nEFS were recorded with live optical imaging during stimulation of 120 minutes. The ability of wound healing was significantly enhanced with the nEFS. In particular, nEFS significantly shorten the duration of wound healing process. Moreover, after treating cells with cytochalasin D, a block polymerization of the actin filaments, the nEFS significantly enhanced wound healing process of cytochalasin D treated neural cells as compared to the control neural cells. This study suggests that nEFS may provide an effective way to control neural cells repairing process from cellular injury. Further mechanism study about the effect of nEFS on the wound healing may shed new light on cellular behavior.
Continuous Optimization Super efficiency evaluations based on potential slack

Super efficiency evaluations are introduced along the lines of the potential improvements approach in Journal of Productivity Analysis 12 (1999) 233. Both a reference selection and a related super efficiency index are defined. The new (potential slack) super efficiency index is compared to a Farrell-based super efficiency index (as in Management Science 39 (1993) 1261) with respect to convex envelopment technologies. 2002 Elsevier B.V. All rights reserved.
Improved Wear Behavior of Cylindrical Roller Thrust Bearings by Three‐Beam Laser Interference  

Within this study, the bearing washer surfaces of cylindrical roller thrust bearings (type 81212, SAE 52100) are laser‐patterned with a dot‐like pattern (periodicity of 6.5 µm and depth of 1 µm). The wear behavior of the patterned bearings is compared to that of bearings with a ground surface finish. The tribological tests are conducted on an adapted FE‐8‐test rig using a mineral oil with a low concentration of zinc dialkyldithiophosphate (0.025 wt% P). This study demonstrates an 83% reduction in the wear loss of the laser‐patterned bearing. The patterns are able to store wear particles in the topographic minima, thus reducing abrasive wear and therefore the wear loss. Additionally, the formation of a wear inhibiting tribo layer is enhanced as the surface pattern acts as secondary source for the deployed additive.
The Effect of Parental Time Investments: Evidence from Natural Within-Family Variation

Firstborn children receive more parental time investments, and this difference is larger when children are spaced further apart in age. I use this natural within-family variation to estimate the effect of parental time investments on children’s reading test scores. Having an instrumental variable for parent–child reading is crucial since parents invest more time with the lower-performing child, leading to downward bias of the effects of parental time investments. I find that an extra day per week of parent–child reading during the first ten years of life raises a child’s performance on standardized reading tests by about half of a standard deviation. * Author contact: joseph_price@byu.edu. This paper has benefited from helpful comments from Eric Bettinger, Fran Blau, David Card, Julio Cáceres-Delpiano, Gordon Dahl, Thomas DeLeire, Ron Ehrenberg, George Jakubson, Lars Lefgren, Liz Peters, Robert Pollak, Dan Rees, and participants at SOLE, PAA, ATUS, and the Child Development conference at the University of Stavenger. Any comments are extremely welcome.
INSYDER - Information Retrieval Aspects of a Business Intelligence System

This paper presents a visual information seeking system for the WWW called INSYDER 1 . The aim of INSYDER is to find business information from the WWW. Information seeking - especially an the Web - is an imprecise process. Information seekers often have only a fuzzy understanding of how they can get the information they want. This paper focuses on the use of information retrieval and visualisation techniques of the INSYDER system to support the user in extracting information from the WWW, namely in formulating queries, refining and reviewing results.
Consistent methods for Decentralised Data Fusion using Particle Filters

This paper presents two solutions for performing decentralised particle filtering in view of non-linear, non-Gaussian tracking in sensor networks. The issue is that no known methods exist to deal with correlated estimation errors due to common past information between two discrete particle sets. The first method transforms the particles to a Gaussian mixture model, the second approximates the set by a Parzen density estimate. Both of these representations accommodate consistent fusion and maintain accurate summaries of the particles. Requiring less bandwidth than particle representations, transformations to GMMs or Parzen representations for communication provide an added advantage. The accuracy in which the algorithms summarise the particle set, fusion methods and bandwidth requirements of each representation will be compared. Our results show that whilst less GMM components are required to summarise the sample statistics, the decentralised fusion solution using Parzen representations yields a more accurate result
Range Image Segmentation Based on Differential Geometry: A Hybrid Approach

The authors describe a hybrid approach to the problem of image segmentation in range data analysis, where hybrid refers to a combination of both region- and edge-based considerations. The range image of 3-D objects is divided into surface primitives which are homogeneous in their intrinsic differential geometric properties and do not contain discontinuities in either depth of surface orientation. The method is based on the computation of partial derivatives, obtained by a selective local biquadratic surface fit. Then, by computing the Gaussian and mean curvatures, an initial region-gased segmentation is obtained in the form of a curvature sign map. Two additional initial edge-based segmentations are also computed from the partial derivatives and depth values, namely, jump and roof-edge maps. The three image maps are then combined to produce the final segmentation. Experimental results obtained for both synthetic and real range data of polyhedral and curved objects are given. >
Cardioprotective Effects of a Novel Hydrogen Sulfide Agent–Controlled Release Formulation of S-Propargyl-Cysteine on Heart Failure Rats and Molecular Mechanisms

Objective Heart failure (HF) is one of the most serious diseases worldwide. S-propargyl-cysteine (SPRC), a novel modulator of endogenous hydrogen sulfide, is proved to be able to protect against acute myocardial ischemia. In order to produce more stable and sustainable hydrogen sulfide, we used controlled release formulation of SPRC (CR-SPRC) to elucidate possible cardioprotective effects on HF rats and investigate involved mechanisms on apoptosis and oxidation. Methods Left coronary artery was occluded to induce HF model of rat. The survival rats were randomly divided into 7 groups after 24 hours and treated with drugs for 6 weeks. Echocardiographic indexes were recorded to determine cardiac function. TTC staining was performed to determine infarct size. Plasmatic level of hydrogen sulfide was detected by modified sulfide electrode. Activity of enzyme and expression of protein were determined by colorimetry and Western blot, respectively. Results The cardioprotective effects of CR-SPRC on HF rats were confirmed by significant reduction of infarct size and improvement of cardiac function, with better effects compared to normal SPRC. CR-SPRC modulated antioxidant defenses by preserving levels of GSH, CAT and SOD and reducing CK leakage. In addition, CR-SPRC elevated ratio of Bcl-2/Bax and inhibited activity of caspases to protect against myocardial apoptosis. The cardioprotective effects of CR-SPRC were mediated by hydrogen sulfide. Conclusions All experiment data indicated cardioprotective effects of CR-SPRC on HF rats. More importantly, CR-SPRC exerted better effects than normal SPRC in all respects, providing a new perspective on hydrogen sulfide-mediated drug therapy.
Adaptive Statistical Language Modeling; A Maximum Entropy Approach

Abstract : Language modeling is the attempt to characterize, capture and exploit regularities in natural language. In statistical language modeling, large amounts of text are used to automatically determine the model's parameters. Language modeling is useful in automatic speech recognition, machine translation, and any other application that processes natural language with incomplete knowledge. In this thesis, I view language as an information source which emits a stream of symbols from a finite alphabet (the vocabulary). The goal of language modeling is then to identify and exploit sources of information in the language stream, so as to minimize its perceived entropy. Most existing statistical language models exploit the immediate past only. To extract information from further back in the document's history, I use trigger pairs as the basic information bearing elements. This allows the model to adapt its expectations to the topic of discourse. Next, statistical evidence from many sources must be combined. Traditionally, linear interpolation and its variants have been used, but these are shown here to be seriously deficient. Instead, I apply the principle of Maximum Entropy (ME). Each information source gives rise to a set of constraints, to be imposed on the combined estimate. The intersection of these constraints is the set of probability functions which are consistent with all the information sources. The function with the highest entropy within that set is the NE solution. Language modeling, Adaptive language modeling, Statistical language modeling, Maximum entropy, Speech recognition.
Delivery Vehicles for Zerovalent Metal Nanoparticles in Soil and Groundwater

Anionic, hydrophilic carbon (Fe/C) and poly(acrylic acid)-supported (Fe/PAA) zerovalent iron nanoparticles were studied as a reactive material for the dehalogenation of chlorinated hydrocarbons in groundwater and soils. The transport of Fe/C nanoparticles was studied by elution through columns packed with model soils from different regions of the USDA soil textural triangle, and was compared to that of unsupported Fe nanoparticles. The Fe/C and Fe/PAA particles form colloidal suspensions that settle very slowly (hours to days) in water. Their anionic surface charge facilitates transport through soil- and sand-packed columns. Elution lengths from column breakthrough studies were compared with calculations based on the Tufenkji−Elimelech model (Environ Sci. Technol. 2004, 38, 529). It can be concluded from this comparison that nanoparticle diffusion is the dominant filtration mechanism, and that Fe/PAA and Fe/C particles have sticking coefficients on the order of 0.36 and ≤0.07, respectively, in sand and 0.
Balance-Aware Energy-Efficient Geographic Routing for Wireless Sensor Networks

Geographic routing is an attractive localized routing scheme for wireless sensor networks (WSNs). Most WSNs are consisted of nodes which are all limited in power, so how to employ a proper routing protocol to save energy consumption is a hot topic for research. In this paper, a balance-aware energy-efficient geographic routing protocol BEGR is proposed. Both energy consumption in communication and residual energy at nodes are considered in BEGR. We prove that our protocol is loop-free and can adapt to dynamic scenarios. Simulation results demonstrate that BEGR is better than other protocols in prolonging network lifetime greatly based on first-dead time.
Influence of AC field distribution on impedance of the conductivity cell

The АС impedance model of a liquid conductivity has been developed to assess the influence of electromagnetic vector potential. It has been proved that the field in a liquid conductor is quasi-static. Approximation error, even taken for very concentrated solutions (e.g. sea water), does not exceed 0.01 ppm. The calculation of resistance of the four-electrode cell is given with the account of Ampere's circuit law. Two types of errors are defined: DC error due to finite thickness of electrodes, and AC error due to presence of displacement currents when using an impedance model.
Interfamilial characterization of a region of the ZFX and ZFY genes facilitates sex determination in cetaceans and other mammals

Sequence polymorphism of homologues ZFX and ZFY, in a 604‐base pair exon region, was examined in 10 known males and 10 known females across seven cetacean families and used to design a simple, highly sensitive and widely applicable fluorescent 5′ exonuclease assay for gender determination in cetaceans. Multiplex amplification, cloning, and sequencing of these previously uncharacterized regions revealed (i) eight fixed differences between ZFX and ZFY, (ii) 29 variable sites between ZFX and ZFY and (iii) very low interspecific nucleotide diversity for both ZFX and ZFY across all families examined. We developed a 5′ exonuclease assay that produces a small (105 bp) polymerase chain reaction (PCR) product from both the X and the Y chromosome orthologs, and used double‐labelled fluorescent probes to distinguish between the two genes in a real‐time PCR assay that is highly reproducible and sensitive. We demonstrated sex specificity for 33 cetacean species in nine families. Given the availability of conserved primers and sequence information for many mammalian species, this approach to designing sexing assays for a wide range of species is both practical and efficient.
Modélisation dirigée par les intentions pour la conception, le partage et la réutilisation de scénarios pédagogiques. (intention-oriented modeling approach to design, share and reuse pedagogical scenarios)

InteractionalSituation Définition des propriétés de la situation-type d’interaction Abstract Les tables Abstract_ comme par ex AbstractTool, correspondent aux éléments qui sont ajoutés lors de la création de la situation d’interaction et des éléments associés : les rôles, les ressources, les lieux et les outils.Les tables Abstract_ comme par ex AbstractTool, correspondent aux éléments qui sont ajoutés lors de la création de la situation d’interaction et des éléments associés : les rôles, les ressources, les lieux et les outils. AIS_has_ Les tables suffixées par le nom « AIS_ » (AIS_has_abstractsourcein, AIS_has_abstractsourceout, AIS_Has abstractrolein, AIS_has_Abstractroelout) correspondent aux tables faisant le lien entre la situation-type d’interaction et les tables Abstract qui définissent les rôles et les ressources en entrée et en sortie, les lieux et les outils. Abstractsituationalcontext Définition du contexte Situationnel du scénario courantsituationalcontext Définition du contexte Situationnel du scénario courant Intention Définition des propriétés de l’intention Knowledgecontext Définition du contexte de connaissances du scénario courant Learningunit Définition des propriétés de l’unité d’apprentissage (onglet scénario propriétés) Case ou Phase Définition des cas ou des phases associés à une stratégie Scenario Définition des propriétés du scénario (onglet scénario propriétés) Strategy Définition des propriétés de la stratégie 10.2. 5.2 Suppressions L’analyse des données montre que les quatre enseignants ont des utilisations quasi équivalentes du logiciel en ce qui concerne l’action de suppression (« delete »). Les tables majoritairement concernées par l’action « delete » sont des tables suffixées par le nom « AIS_ » correspondant à la situation-type d’interaction et aux tables liées. L’enseignant-contrôle EC1 supprime également des informations dans la table « Phase ». Cela traduit le fait qu’il ajoute ou modifie des phases dans ses stratégies. Les enseignants E1 et E2 font des suppressions dans la table « intentiongroup » qui correspond à l’étape dans le logiciel, ceci montre que ces enseignants sont revenus à plusieurs reprises sur la structuration globale de leur scénario.
Compact FPGA implementation of 32-bits AES algorithm using Block RAM

Hardware implementation of advanced encryption standard (AES) algorithm has been in intensive discussion since its first publication by National Institute of Standards and Technology (NIST) in 2000, especially in high throughput over 1 Giga bits per second (Gbps). However, the studies of low area, low power and low cost implementations, which usually have throughput less than 1 Gbps and use the datapath less than 32-bit, have been appearing recently in ASIC as well as in FPGA for wireless communication and embedded hardware application. This paper proposes a 32-bit datapath implementation in small Xilinx FPGA Chip (Spartan-3 XC3S200). It uses 148 slice, 11 block RAMs (BRAMs) and achieves the data stream of 647 Mega bits per second ( Mbps) at 287 MHz working frequency. It obtains 3.4 times improvement to the best known similar design in terms of ratio throughput per area (Throughput/Area), and 20% smaller in slice area.
Description logic reasoning for semantic web ontologies

The ontology language for the semantic web OWL provides means to describe entities of an application domain in an ontology in a well-structured way. The underlying formalism for OWL are Description Logics (DLs) [6], which are a family of knowledge representation formalisms that have formal semantics. This family of logics is tailored towards representing terminological knowledge of an application domain in a structured and formally well-understood way.