Miracle-dz/UniFAR-FTUs huggingface dataset:
How to Make Use of Rea Questions from CSCW and HCI when operationalizing the REA ontology

Few studies from CSCW or HCI address ERP systems or other software used to integrate and monitor production processes. However, as ERP systems are software to be used to support and monitor highly co-operative efforts of producing and selling goods, and as the management and control of these processes is also a co-operative activity, results from this area might give indications for improvements. This position paper explores a set of questions regarding the embedment of ERP systems and especially a yet fictive one based on the REA ontology into the dynamics of everyday work in. Introduction This position paper is about operationalizing REA not only for analysis and knowledge management [7] but also as a meta-model for a fictive enterprise resource management system. ERP systems are highly adaptable and tailorable software systems. However, in the ERP literature, the subject of configuring and tailoring is normally discussed as a problem. The more the system has to be adapted to the specific organization the greater the risk for failure for the return of investment. [5, 2] On the other hand the implementation of ERP is understood and treated as streamlining the organization under development to fit with the practices supported by the specific ERP. One of the reasons for this mismatch between the implemented flexibility and the needs of different organization might be the fact that ERP systems historically developed ‘inside-out’ integrating different modules that in themselves where developed as stand alone software, addressing the specific sub-domain instead of implementing a more abstract model. [9] Building an ERP system on a simple but powerful meta-model for accountancy like the REA ontology might allow to support a variety of business practices with the same basic idea about accounting and management. If the model is powerful enough to accommodate different business areas and developments within the business as well as each company, it might be a good base to accommodate fitting degrees and dimensions of variability. Designing what should be adaptable by whom, and what kinds of interfaces are suitable to support the tailoring is not a trivial task. It should be based on thorough knowledge of the application domains and the work practices that should be supported, and the design of the variability is tightly coupled with the underlying architecture decisions. [4] Research on tailoring or end-user development has so far not addressed the adaptation of enterprise resource planning systems. (Though it is mentioned in [13] as a very promising application area.) The reason for this might have been that the de-facto
A Checkpointing Strategy and Redo Point Strategy for Embedded Real-Time Main Memory Databases Crash Recovery

In the embedded environment, the rapid and efficient recovery is needed in the event of the real-time main memory database system failures. Checkpointing strategy is very important for system recovery as one of the most important techniques of real-time main memory database. A fuzzy checkpointing strategy based on the material embedded real-time main memory database system ART-¿ (an active real-time main memory database) is suggested, and a redo point strategy for this checkpointing strategy is also developed. The performance test shows that this checkpointing strategy and the redo point strategy can decrease the ratio of the transactions missing the deadline and improve the performance of the system.
Winding turn-to-turn faults in permanent magnet synchronous machine drives

This paper examines the effect of different numbers of shorted turns in one coil of the stator winding upon the operation of vector-controlled permanent magnet synchronous machine drives. A simple thermal model of the coil is used to examine the duration the fault can be allowed to exist before there is further degradation of the insulation. Simulation results by DMRM incorporate saturation and slotting effects. Short circuit current is difficult to limit due to the uncontrolled permanent magnet produced field. Permanent magnets are also prone to demagnetization due to the compound effect of the demagnetising MMF produced by the high short circuit current together with the armature reaction MMF. Shorting small numbers of turns gives very little time before further failures could occur. Shorts of large numbers of turns change machine flux levels, saturation and torque constant. Part functionality following a winding fault might aid controlled, drive shutdown or keep up operation in intermittent, short duration, load cycles.
Investigation of the marine compound spongistatin 1 links the inhibition of PKCα translocation to nonmitotic effects of tubulin antagonism in angiogenesis

The aims of the study were to meet the demand of new tubulin antagonists with fewer side effects by characterizing the antiangiogenic properties of the experimental compound spongistatin 1, and to elucidate nonmitotic mechanisms by which tubulin antagonists inhibit angiogenesis. Although tubulin‐inhibiting drugs and their antiangiogenic properties have been investigated for a long time, surprisingly little is known about their underlying mechanisms of action. Antiangiogenic effects of spongistatin 1 were investigated in endothelial cells in vitro, including functional cell‐based assays, live‐cell imaging, and a kinome array, and in the mouse cornea pocket assay in vivo. Spongistatin 1 inhibited angiogenesis at nanomolar concentrations (IC50: cytotoxicity> 50 nM, proliferation 100 pM, migration 1.0 nM, tube formation 1.0 nM, chemotaxis 1.0 nM, aortic ring sprouting 500 pM, neovascularization in vivo 10 µg/kg). Further, a kinome array and validating data showed that spongistatin 1 inhibits the phosphorylation activity of protein kinase Cα (PKCα), an essential kinase in angiogenesis, and its translocation to the membrane. Thus, we conclude that PKCα might be an important target for the antiangiogenic effects of tubulin antagonism. In addition, the data from the kinase array suggest that different tubulin antagonists might have individual intracellular actions. —Rothmeier, A. S. , Ischenko, I. , Joore, J., Garczarczyk, D. , Fürst, R. , Bruns, C. J., Vollmar, A. M. , Zahler, S. Investigation of the marine compound spongistatin 1 links the inhibition of PKCα translocation to nonmitotic effects of tubulin antagonism in angiogenesis. FASEB J. 23, 1127–1137 (2009)
Regularized Least Squares : A Useful ( Forgotten ) Tool for Supervised and Semi-Supervised Learning

This paper discusses the undervalued importance of Regularized Least Squares, and its continued usefulness in solving supervised and semisupervised learning problems. The common two moon classification problem was used to study and compare the effectiveness of three methods: the Support Vector Machine (Radial Basis Functions and 6 Order Polynomials), Laplacian Regularized Least Squares, and K-Means with Regularized Least Squares (KM-RLS). The latter approach, which appears to be novel, is shown to be a very strong candidate for designing the hidden layer part of the classifier. As shown in the detailed results section, the KM-RLS method yields excellent results, and is computationally faster and less complex, when compared with the commonly used Support Vector Machine.
Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems

A fuzzy rule-based decision system for assisting coaches in the configuration of an athletics team is presented. The knowledge base of this system combines the experience of the trainer with genetically mined information from training sessions and competitions. The novelty of our approach comes from the fact that these sources of data have low quality: they include subjective perceptions of mistakes of the athletes, different measurements taken by different observers, and interval-valued attributes. We will use a possibilistic representation of these categories of information, in combination with an extension principle-based reasoning method, and show that the predictive power of a genetic fuzzy system which is based in these principles improves other systems that discard the vagueness of the training data.
MIXED FINITE ELEMENT METHODS FOR LINEAR VISCOELASTICITY USING WEAK SYMMETRY

Small deformations of a viscoelastic body are considered through the linear Maxwell and Kelvin–Voigt models in the quasi-static equilibrium. A robust mixed finite element method, enforcing the symmetry of the stress tensor weakly, is proposed for these equations on simplicial tessellations in two and three dimensions. A priori error estimates are derived and numerical experiments presented. The approach can be applied to general models for linear viscoelasticity and thus offers a unified framework.
Adaptive maximal Poisson-disk sampling on surfaces

In this paper, we study the generation of maximal Poisson-disk sets with varying radii on surfaces. Based on the concepts of power diagram and regular triangulation, we present a geometric analysis of gaps in such disk sets on surfaces, which is the key ingredient of the adaptive maximal Poisson-disk sampling framework. Moreover, we adapt the presented sampling framework for remeshing applications. Several novel and efficient operators are developed for improving the sampling/meshing quality over the state-of-the-art.
Crystal structure of CD155 and electron microscopic studies of its complexes with polioviruses

When poliovirus (PV) recognizes its receptor, CD155, the virus changes from a 160S to a 135S particle before releasing its genome into the cytoplasm. CD155 is a transmembrane protein with 3 Ig-like extracellular domains, D1–D3, where D1 is recognized by the virus. The crystal structure of D1D2 has been determined to 3.5-Å resolution and fitted into ≈8.5-Å resolution cryoelectron microscopy reconstructions of the virus–receptor complexes for the 3 PV serotypes. These structures show that, compared with human rhinoviruses, the virus–receptor interactions for PVs have a greater dependence on hydrophobic interactions, as might be required for a virus that can inhabit environments of different pH. The pocket factor was shown to remain in the virus during the first recognition stage. The present structures, when combined with earlier mutational investigations, show that in the subsequent entry stage the receptor moves further into the canyon when at a physiological temperature, thereby expelling the pocket factor and separating the viral subunits to form 135S particles. These results provide a detailed analysis of how a nonenveloped virus can enter its host cell.
Risk of venous and arterial thromboembolic events associated with anti-VEGF agents in advanced non-small-cell lung cancer: a meta-analysis and systematic review

Aims To assess the incidence and risk of arterial and venous thromboembolic events (ATEs and VTEs) associated with antivascular endothelial growth factor (VEGF) agents, including VEGF receptor-tyrosine kinase inhibitors and VEGF monoclonal antibodies, in advanced non-small-cell lung cancer (NSCLC) patients. Methods We performed a broad search of PubMed for relevant trials. Prospective randomized trials evaluating therapy with or without anti-VEGF agents in patients with advanced NSCLC were included for analysis. Data on VTEs and ATEs were extracted. The overall incidence, Peto odds ratio (Peto OR), and 95% confidence intervals (CIs) were pooled according to the heterogeneity of included trials. Results A total of 13,436 patients from 23 trials were included for analysis. Our results showed that anti-VEGF agents significantly increased the risk of developing high-grade ATEs (Peto OR: 1.44, 95% CI: 1.00–2.07, P=0.048), but not for all-grade ATEs (Peto OR: 0.94, 95% CI: 0.56–1.59, P=0.82) compared with controls. Additionally, no increased risk of all-grade and high-grade VTEs (Peto OR: 0.94, 95% CI: 0.67–1.31, P=0.71 and Peto OR: 0.95, 95% CI: 0.73–1.22, P=0.67, respectively) was observed in advanced NSCLC patients receiving anti-VEGF agents. Conclusion The use of anti-VEGF agents in advanced NSCLC patients significantly increased the risk of high-grade ATEs, but not for VTEs. Clinicians should be aware of the risk of severe ATEs with administration of these drugs in advanced NSCLC patients.
ECG Signal Denoising Using Wavelet Thresholding Techniques in Human Stress Assessment

In recent years, Electrocardiogram (ECG) plays an imperative role in heart disease diagnostics, Human Computer Interface (HCI), stress and emotional states assessment, etc. In general, ECG signals affected by noises such as baseline wandering, power line interference, electromagnetic interference, and high frequency noises during data acquisition. In order to retain the ECG signal morphology, several researches have adopted using different preprocessing methods. In this work, the stroop color word test based mental stress inducement have done and ECG signals are acquired from 10 female subjects in the age range of 20 years to 25 years. We have considered the Discrete Wavelet Transform (DWT) based wavelet denoising have incorporated using different thresholding techniques to remove three major sources of noises from the acquired ECG signals namely, power line interference, baseline wandering, and high frequency noises. Three wavelet functions ("db4", "coif5" and "sym7") and four different thresholding methods are used to denoise the noise in ECG signals. The experimental result shows the significant reduction of above considered noises and it retains the ECG signal morphology effectively. Four different performance measures were considered to select the appropriate wavelet function and thresholding rule for efficient noise removal methods such as, Signal to Interference Ratio (SIR), noise power, Percentage Root Mean Square Difference (PRD) and finally periodogramof Power Spectral Density (PSD). The experimental result shows the "coif5" wavelet andrigrsurethresholding rule is optimal for unknown Signal to Noise Ratio (SNR) in the real time ECG signals.
A CUG codon adapted two-hybrid system for the pathogenic fungus Candida albicans

The genetics of the most common human pathogenic fungus Candida albicans has several unique characteristics. Most notably, C. albicans does not follow the universal genetic code, by translating the CUG codon into serine instead of leucine. Consequently, the use of Saccharomyces cerevisiae as a host for yeast two-hybrid experiments with C. albicans proteins is limited due to erroneous translation caused by the aberrant codon usage of C. albicans. To circumvent the need for heterologous expression and codon optimalization of C. albicans genes we constructed a two-hybrid system with C. albicans itself as the host with components that are compatible for use in this organism. The functionality of this two-hybrid system was shown by successful interaction assays with the protein pairs Kis1–Snf4 and Ino4-Ino2. We further confirmed interactions between components of the filamentation/mating MAP kinase pathway, including the unsuspected interaction between the MAP kinases Cek2 and Cek1. We conclude that this system can be used to enhance our knowledge of protein–protein interactions in C. albicans.
Cubrick: Indexing Millions of Records per Second for Interactive Analytics

This paper describes the architecture and design of Cubrick, a distributed multidimensional in-memory DBMS suited for interactive analytics over highly dynamic datasets. Cubrick has a strictly multidimensional data model composed of cubes, dimensions and metrics, supporting sub-second OLAP operations such as slice and dice, roll-up and drill-down over terabytes of data. All data stored in Cubrick is range partitioned by every dimension and stored within containers called bricks in an unordered and sparse fashion, providing high data ingestion rates and indexed access through any combination of dimensions. In this paper, we describe details about Cubrick's internal data structures, distributed model, query execution engine and a few details about the current implementation. Finally, we present results from a thorough experimental evaluation that leveraged datasets and queries collected from a few internal Cubrick deployments at Facebook.
Who is Watching You Eat?

Many of the seminal papers in preference handling have used food preferences as motivating examples for their work. As foodies, the authors find this particularly motivating. While we think that there is both research and commercial potential in preference-based software for restaurants, we believe that serious application of the MPREF community's technology to the problem of personal preference-driven presentation of menus, seating, etc., will require significant further innovation. We broadly survey the current use of preferences in making the dining-out experience more enjoyable, and we look at the states of the art for preference representation and reasoning, and for restaurant software. We illustrate some of our points with a short story.
On Market Microstructure Noise and Realized Volatility 1

The Hansen-Lunde (HL) research program is generally first-rate, displaying a rare blend oftheoretical prowess and applied sense. The present paper is no exception. In a major theoretical advance,HL allow for correlation between microstructure (MS) noise and latent price. (I prefer “latent price” toterms such as “efficient price” or “true price,” which carry lots of excess baggage.) In a parallel majorsubstantive advance, HL provide a pioneering empirical investigation of the
An approach for OO software size estimation using Predictive Object Point Metrics

For estimating software, system size is the main parameter of the system development effort. It affects substantially on accurate estimation of effort of development. The Predictive Object Point (POPs) input gives an estimate of the size of the software for which the estimation is required. POPs are a metric suitable for estimating the size of object oriented software, based on the behaviors that each class is delivering to the system along with top level inputs describing the structure of a system. However there is no real mapping of Source Lines of Code (SLOC) to POPs exists. This paper is an attempt to map the Predictive Object Point Metrics with software size which may help in further prediction of effort. This may also help in estimation of cost as well as schedule measurement of an OO system. The proposed method of mapping between POP and software size has been empirically investigated. KLOC has been estimated in terms of EKLOC through POP count using the linear regression equation. The results are presented here to show that how POP Count may be mapped to corresponding software size (KLOC) of an object oriented system.
Perceptual Color Map in Macaque Visual Area V4

Colors distinguishable with trichromatic vision can be defined by a 3D color space, such as red-green-blue or hue-saturation-lightness (HSL) space, but it remains unclear how the cortex represents colors along these dimensions. Using intrinsic optical imaging and electrophysiology, and systematically choosing color stimuli from HSL coordinates, we examined how perceptual colors are mapped in visual area V4 in behaving macaques. We show that any color activates 1–4 separate cortical patches within “globs,” millimeter-sized color-preferring modules. Most patches belong to different hue or lightness clusters, in which sequential representations follow the color order in HSL space. Some patches overlap greatly with those of related colors, forming stacks, possibly representing invariable features, whereas few seem positioned irregularly. However, for any color, saturation increases the activity of all its patches. These results reveal how the color map in V4 is organized along the framework of the perceptual HSL space, whereupon different multipatch activity patterns represent different colors. We propose that such distributed and combinatorial representations may expand the encodable color space of small cortical maps and facilitate binding color information to other image features.
Design of the pluto event generator

We present the design of the simulation package Pluto, aimed at the study of hadronic interactions at SIS and FAIR energies. Its main mission is to offer a modular framework with an object-oriented structure, thereby making additions such as new particles, decays of resonances, new models up to modules for entire changes easily applicable. Overall consistency is ensured by a plugin- and distribution manager. Particular features are the support of a modular structure for physics process descriptions, and the possibility to access the particle stream for on-line modifications. Additional configuration and self-made classes can be attached by the user without re-compiling the package, which makes Pluto extremely configurable.
On Variable Constraints in Privacy Preserving Data Mining

In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many cases, users are unwilling to provide personal information unless the privacy of sensitive information is guaranteed. A recent framework performs privacy preserving data mining by using a condensation based approach. In this framework, the privacy of all records is treated homogeneously. It is therefore inefficient to design a system with a uniform privacy requirement over all records. We discuss a new framework for privacy preserving data mining, in which the privacy of all records is not the same, but can vary considerably. This is often the case in many real applications, in which different groups of individuals may have different privacy requirements. We discuss a condensation based approach for privacy preserving data mining in which an efficient method is discussed for constructing the condensation in a heterogeneous way. The heterogeneous condensation is capable of handling both static and dynamic data sets. We present empirical results illustrating the effectiveness of the method.
Network integration of distributed optical fiber temperature sensor

The integration of distributed optical fiber temperature sensor with supervisory control and data acquisition (SCADA) system is proposed and implemented. In the implementation of the integration, both the compatibility with traditional system and the characteristics of distributed optical fiber temperature sensor is considered before Modbus TCP/IP protocol is chosen. The protocol is implemented with open source component Indy. The Modbus TCP/IP protocol used in the system is proved to be fast and robust.
A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing

The anticipated uptake of Cloud computing, built on well-established research in Web Services, networks, utility computing, distributed computing and virtualisation, will bring many advantages in cost, flexibility and availability for service users. These benefits are expected to further drive the demand for Cloud services, increasing both the Cloud's customer base and the scale of Cloud installations. This has implications for many technical issues in Service Oriented Architectures and Internet of Services (IoS)-type applications; including fault tolerance, high availability and scalability. Central to these issues is the establishment of effective load balancing techniques. It is clear the scale and complexity of these systems makes centralized assignment of jobs to specific servers infeasible; requiring an effective distributed solution. This paper investigates three possible distributed solutions proposed for load balancing; approaches inspired by Honeybee Foraging Behaviour, Biased Random Sampling and Active Clustering.