Miracle-dz/UniFAR-FTUs huggingface dataset:
A Semantic Message Passing Approach for Generating Linked Data from Tables

Large amounts of information is stored in tables, spreadsheets, CSV files and databases for a number of domains, including the Web, healthcare, e-science and public policy. The tables’ structure facilitates human understanding, yet this very structure makes it difficult for machine understanding. We describe work on making the intended meaning of tabular data explicit by representing it as RDF linked data, potentially making large amounts of scientific and medical data in important application domains understandable by machines, improving search, interoperability and integration. Our domain-independent framework uses background knowledge from the LOD cloud to jointly infer the semantics of column headers, table cell values (e.g., strings and numbers) and relations between columns and represent the inferred meaning in RDF. A table’s meaning is thus captured by mapping column headers to classes in an appropriate ontology, linking table cell values to literal constants, implied measurements, or LOD entities (existing or new) and discovering or identifying relations between columns. At the core of our framework is a probabilistic graphical model that exploits existing LOD knowledge to improve a message passing scheme during the joint inference process. We have evaluated or framework on tables from the Web and Wikipedia with promising results.
Power-Efficient Synthesis of Isoprene via Two-Stage Dehydrogenation of Isopentane

Submitted: Jul 11, 2013; Accepted: Aug 9, 2013; Published: Aug 25, 2013 Abstract: The method of power-efficient two-stage dehydrogenation of isopentane to isoprene considered in this study comprises the production of a mixture of isoamylene at the first stage, further dehydrogenation of which occurs with a smaller endothermal effect. The effectiveness of the proposed method for energy saving is calculated. This result is achieved by using chrome-alumina catalyst, which makes it possible to increase the fraction of -isoamylene in the mixture of isoamylenes. This catalyst is prepared using superhigh-frequency microwave energy. Microwaves were used at the stages of affixing active components to an alumina support and catalyst drying. The main features of the process occurring on the resulting catalyst are shown.
Metaphorical Expression of the Word Anger in the Corpus of Contemporary of American English (COCA)

Metaphors are used to create poetic impression in poems or poetry. However, linguist disagree this idea and they believe that metaphors are not used for language style of poems or poetry only, but they believe that people also use them in their daily language. This study is entitled Metaphorical Expression of the Word Anger in the Corpus of Contemporary of American English (COCA). The data source was taken from corpus of contemporary American English (COCA) using keyword of anger in Keyword in the Context (KWIC) as the main data. The theories used in this study were theory proposed by Lakoff & Johnson (1998) to identify the conceptual metaphor, Pragglejaz’s MIP (Metaphor Identification Procedure) and Steen’s five steps to identify the metaphor in the context. The result shown that all conceptual metaphors were found in this study, such as structural metaphor, orientational metaphor, ontological metaphor and personification.
Bayesian DAG Construction from Conditional Independencies

To build a Bayesian network, one may directly construct a directed acyclic graph (DAG) based on causal relationship of the domain variables. However, it may be necessary in many applications to construct a DAG from conditional independencies (CIs). In this paper, we characterize CIs that can be represented by a perfect DAG and suggest an algorithm to construct such a DAG, provided that the given set of CIs satisfy certain conditions. We discuss the advantages of our method and compare it with the algorithm proposed by Verma.
Genetic Dissection of Differential Signaling Threshold Requirements for the Wnt/β-Catenin Pathway In Vivo

Contributions of null and hypomorphic alleles of Apc in mice produce both developmental and pathophysiological phenotypes. To ascribe the resulting genotype-to-phenotype relationship unambiguously to the Wnt/β-catenin pathway, we challenged the allele combinations by genetically restricting intracellular β-catenin expression in the corresponding compound mutant mice. Subsequent evaluation of the extent of resulting Tcf4-reporter activity in mouse embryo fibroblasts enabled genetic measurement of Wnt/β-catenin signaling in the form of an allelic series of mouse mutants. Different permissive Wnt signaling thresholds appear to be required for the embryonic development of head structures, adult intestinal polyposis, hepatocellular carcinomas, liver zonation, and the development of natural killer cells. Furthermore, we identify a homozygous Apc allele combination with Wnt/β-catenin signaling capacity similar to that in the germline of the Apcmin mice, where somatic Apc loss-of-heterozygosity triggers intestinal polyposis, to distinguish whether co-morbidities in Apcmin mice arise independently of intestinal tumorigenesis. Together, the present genotype–phenotype analysis suggests tissue-specific response levels for the Wnt/β-catenin pathway that regulate both physiological and pathophysiological conditions.
Using color histogram as the trait of retina biometric

Retina biometric has applications on high security access control systems. The interference of lighting and deformation of viewpoint in the retina image acquisition have impact on the process of retina feature extraction and matching. In this paper, we propose a method using color histogram as the trait of retina biometric. The color histogram has shown the feature of deformation invariant. The enhancement using discrete wavelet transform decomposition minimizes the difference within the individuals and increases the correlation between the retinal images of the same person. This method provides a solution against the variation within the individuals and lower false rejection rate in the retina biometric.
Wireless telemonitoring of wearable device for recording biopotentials using embedded terminal platform

This paper proposes a wearable device for recording various biopotentials for analysis and transmission of analyzed signals from a portable terminal to remote servers. This facilitates the experts to provide guidance from the places they are currently available to where it is required immediately. Portable device is designed using CC2540 network processor supported by wireless sensors for recording ECG, EMG and EEG. The key advantages of this processor are low power requirement, built-in Bluetooth and cost effective. OMAP 3530 is an embedded processor used to design the portable terminal supported by USB based Bluetooth device and a display. This portable terminal is efficient, energy saving and is very useful for wireless monitoring applications. Noise cancellation of acquired signals is done before transmitting them to remote areas using morphological filtering. Clean signal that is obtained enable the medical experts to provide exact guidance. The filtered signals are stored in a database at local areas and then transmitted to remote areas through network support provided by Wi-Fi or 3G technology.
Specification mining of symbolic scenario-based models

Many dynamic analysis approaches to specification mining, which extract behavioral models from execution traces, do not consider object identities. This limits their power when used to analyze traces of general object oriented programs. In this work we present a novel specification mining approach that considers object identities, and, moreover, generalizes from specifications involving concrete objects to their symbolic class-level abstractions. Our approach uses data mining methods to extract significant scenario-based specifications in the form of Damm and Harel's live sequence charts (LSC), a formal and expressive extension of classic sequence diagrams. We guarantee that all mined symbolic LSCs are significant (statistically sound) and all significant symbolic LSCs are mined (statistically complete). The technique can potentially be applied to general object oriented programs to reveal expressive and useful reverse-engineered candidate specifications.
Millimeter wave bwo-oscillator with multistage grating

The capability of efficient millimeter and submillimeter wavelength generation in Cherenkov like oscillators with multistage grating is discussed in this paper. The prototype of W-band oscillator with nonuniform grating has been presented. The dispersion calculations of the multistage grating in the waveguide and coupling impedance have been carried out. The simulations of self electric fields distribution of the waveguide loaded by multistage grating were performed.
RTS amplitudes in decanano n-MOSFETs with conventional and high-k gate stacks

Low frequency (LF) noise in MOSFETs has been a topic of interest to both academia and industry in recent years. It is becoming a major concern for analogue circuit performance, DRAM operation, and will eventually impact critically upon the reliability of digital logic especially as devices continue to scale towards nano dimensions. Random telegraph signals (RTS) caused by the capture and emission of carriers in traps at the Si/SiO/sub 2/ interface have been posited as a major component of low frequency noise in semiconductor devices. The change in the drain current associated with trapping events in defect states is usually referred to as the RTS amplitude. The magnitude of the RTS amplitude is largest in the subthreshold regime at lower gate voltages and is reduced in the strong inversion regime as mobile charge in the inversion layer increasingly screens out the electrostatic influence of the trapped charge. We study the magnitude of the RTS amplitudes in nano-CMOS devices with conventional and high- gate stacks. Traps at the front and back gate dielectric interfaces, as well as traps in the body of the dielectric are considered. The impact of poly gate depletion is also taken into account.
Stochastic Growth with Increasing Returns: Stability and Path Dependence

The paper demonstrates global stability in a class of stochastic overlapping generations economies with increasing returns. These results are applied to the study of path dependent dynamics. In particular, for nonlinear stochastic models it is seen that persistence of the historical state and formal ergodicity may easily coincide. A new definition of path dependence is proposed that incorporates such dynamics.
Avoiding laboratories to collect usability data: Two software applications

This article introduces two software applications developed to establish the impact of certain usability mechanisms on particular usability attributes. The focus is put into the mechanisms that Human Computer Interaction (HCI) and Software Engineering (SE) authors regard as “Highly Impacting” (like Undo/Cancel or System Status Feedback). The applications are web-based and designed to gather quantitative and qualitative data concerning the user's behavior when the application has usability mechanisms activated or not. The first application represents our initial approximation to gather such data, however we identified some drawbacks. A second application was designed to overcome such problems and allows a more suited usability evaluation.
Koreans and Germans: Cultural Differences in Hand Movement Behaviour and Gestural Repertoire

ABSTRACT The present study compares hand movement behaviour and gestural repertoire between the Korean and German participants. Video clips of the hand movement behaviour of participants during description of their appreciation of dance stimuli were analysed with NEUROGES system. The German participants in general executed significantly more gestures than the Koreans. Concerning gesture repertoire, however, the Germans showed more emotional and emphasising gesture, and gesture presenting motion quality, while the Koreans displayed more pointing and pantomiming gestures. These differences are discussed in the context of the differences in cultural dimensions such as Individualism and Power Distance between both cultures.
Organic solvent extraction of proteins and peptides from serum as an effective sample preparation for detection and identification of biomarkers by mass spectrometry

A method to extract peptides and low molecular weight proteins from serum under denaturing conditions using acetonitrile containing 0.1% trifluoroacetic acid has been developed. The extraction procedure precipitates large, abundant proteins to simplify subsequent mass spectral analysis. This sample preparation method provides an efficient way to extract serum peptides, enabling them to be compared and identified using different mass spectrometry approaches. Surface‐enhanced laser desorption/ionization‐time of flight mass spectrometry analysis of mouse blood serum samples prepared by this method allowed detection of two markers which were significantly reduced in mice with B cell lymphoma tumor. One of these markers has been identified as apolipoprotein A‐II.
DQGMRES : a Quasi { minimal residual algorithmbased on incomplete orthogonalization

We describe a Krylov subspace technique based on incomplete orthogonalization of the Krylov vectors which can be considered as a truncated version of GMRES. Unlike GMRES the parent algorithm from which it is derived, DQGMRES does not require restarting. It seems also to be less prone to stagnation. In addition, the algorithm allows exible precon-ditioning, i.e., it can accomodate variations in the preconditioner at every step. A number of numerical tests are reported which show that the algorithm often performs better than GMRES and FGMRES.
Factor VII Deficiency in Systemic Primary Amyloidosis: A Rare Case

Introduction: Isolated and combined factor deficiencies are known to occur in systemic primary amyloidosis. The most common factor deficiency known in these cases is isolated factor X deficiency. Other factor deficiencies are relatively less frequent. Isolated factor VII deficiency occurs very rarely in cases of systemic primary amyloidosis.Case report: A 58-year-old male patient previously presenting to another health center with complaints of generalized edema, fatigue, and itching had proteinuria and then he was diagnosed with systemic primary amyloidosis after the renal biopsy for proteinuria etiology. The patient’s laboratory tests showed prolongation of prothrombin time and factor VII deficiency. The patient responded well to the treatment for primary amyloidosis and factor VII deficiency.Discussion: In cases of systemic primary amyloidosis, if the etiology of prolonged prothrombin time involves no liver disease, warfarin use, or malabsorption, physicians should always keep in mind rare factor deficiencies such as factor VII deficiency, along with common factor deficiencies.
Cross-layer optimization of transport protocols over wireless networks

In this paper, we demonstrate how transport layer protocols - especially TCP - can benefit from the ideas of cross-layer protocol design in the context of wireless networks. We argue that when each layer in the protocol hierarchy adjusts its behavior based on the relevant information from other layers, the system as a whole could attain a much better performance than is otherwise possible. We have validated these claims by using an EGPRS testbed (not a simulator) and show significant performance gains of our scheme.
Comparing Advice from Military Parents, Partners, and Veterans about How Families Can Encourage Service Members to Seek Behavioral Health care

ABSTRACT This study compared advice that three groups—military parents, partners, and Veterans—gave regarding how military families can encourage service members (SMs) to seek professional help when needed. Based on identity implications theory and the normative model of social support, common themes regarding how families might pursue task, relational, and identity goals were expected (RQ1). Based on their unique positions, we investigated whether the three groups stressed different themes (RQ2). Military parents (n = 51), partners (n = 74), and Veterans (n = 112) read a scenario in which a SM was having difficulty reintegrating after deployment; all three groups offered advice about how military families should handle similar situations. Common themes regarding task, relational, and identity goals emerged in the advice from all three groups; however, parents, partners, and Veterans also differed significantly in how often they mentioned six themes. Theoretical and practical implications are discussed.
Defense Triangular of Routers (DTR) against traffic of packets in Internet Data Centers (IDC)

These days many of the data centers are looking for new ways in order to increase the amount of responding to requests and also offering effectual and optimal services. Hence, in many of the data centers procedures like cache management of physical resources same as routers, load balancing, controlling over load, QOS mechanisms are utilized. One of the reasons that decrease the effectiveness of a router after a period of time is the reduction of the buffer level and the elimination of the packets by the router. It makes many unanswered requests or at least prolonged answering time. This article tries to offer an approach in order to increase the amount of the routers to improve the efficiency of an Internet Data Center (IDC). The article has shown an appropriate correspondence between the results and the hypothesis.
Psychological contract breach and workplace deviance: Does emotional intelligence matter?

This study investigated the influence of emotional intelligence on the relationship between psychological contract breach and workplace deviance with feelings of violation. The participants were 232 employees of a Nigerian public sector organisation (125 males and 107 females). The employees completed measures of workplace deviance, psychological contract breach, feelings of violation, and emotional intelligence. Results of the moderated hierarchical multiple regression analysis indicated that psychological contract breach was positively related to feelings of violation and workplace deviance. Emotional intelligence significantly buffered the negative effect of psychological contract breach on feelings of violation and workplace deviance. This implies that emotionally intelligent employees who perceived contract breach are less likely to experience feelings of violation and engage in workplace deviance. Emotional regulation appears to reliably moderate between breach-outcome relationships.
Muscarinic potentiation of IK in hippocampal neurons: electrophysiological characterization of the signal transduction pathway

Central cholinergic (muscarinic) systems play an important role in learning and memory. In mammalian central neurons, muscarinic stimulation depresses several voltage-activated K+ currents and modulates synaptic transmission. Using whole-cell voltage-clamp recordings in hippocampal CA1 neurons of rat brain slices, we report that activation of muscarinic receptors potentiates a voltage- activated, sustained K+ current (IK-type). This potentiation of IK is mediated by activation of protein kinase C and involves a G-protein- linked, intracellular Ca(2+)-dependent process. This underlying second messenger pathway may prove to be important in the mediation of other previously reported muscarinic neuronal actions.
A Computed Aided Diagnosis tool for Alzheimer's disease based on 11C-PiB PET imaging technique

Pittsburgh compound B Positron Emission Tomography (PiB PET) imaging is a new technique to detect amyloid-beta (Aβ). Aβ is a pathological bio-data which appears distinctly in most neuro-degeneration diseases, such as Alzheimer's disease (AD). Although PiB PET imaging is relative mature, the accurate diagnosis of AD based on PiB PET images still remains a challenge for radiologists. To solve above problem, this paper proposes a Computed Aided Diagnosis (CAD) tool, which combines three machine learning kernels: Principal Component Analysis (PCA), Independent Component analysis (ICA) and Support Vector Machine (SVM). The experimental results with 120 groups of PiB PET images showed that the proposed CAD tool can yield a high accuracy in AD diagnosis.
Diving Into Dark Pools

This paper examines unique data on dark pool activity for a large cross-section of US stocks in 2009. Dark pool activity is concentrated in large firms, stocks with high share volume, high price, low spreads, high depth, and low short-term volatility. NASDAQ (AMEX) stocks have significantly higher (lower) dark pool activity than NYSE stocks controlling for size, share volume, and price. For a given stock, dark pool activity is significantly higher on days with higher share volume, higher depth, and lower intraday volatility. Dark pool activity is significantly lower for days with larger order imbalances relative to share volume and larger absolute returns. We find no evidence supporting the hypothesis that dark pool activity has a detrimental effect on market quality.
The role of achievement goal orientations in students' perceptions of and preferences for classroom environment.

BACKGROUND Recent research on achievement motivation has begun to examine the effects of environmental factors affecting students' motivational beliefs and goal tendencies. However, when interpreting and applying the results, individual factors underlying students' different perceptions of their learning environment are often ignored. An implicit assumption seems to be that regardless of their dispositional differences (e.g. motivational basis), students will experience and benefit from instructional practices in the same way. AIMS This paper highlights the importance of students' dispositional motivational factors when examining differences in their perceptions of and preferences for the learning environment. The study builds on a conception of student motivation that emphasizes the interaction of individual and contextual factors. SAMPLE AND METHOD Questionnaires served as self-report tools and assessed students' achievement goal orientations, self-esteem, causality beliefs, academic withdrawal and perceptions of and preferences for the learning environment. The sample consisted of 208 sixth grade elementary school students. RESULTS Based on latent class cluster analysis and one-way analyses of variance, it was found that students' perceptions of and preferences for the learning environment vary depending on differences in students' motivational tendencies. CONCLUSIONS Students' dispositional motivational characteristics should be taken into account both in theoretical considerations and in instructional interventions.
CLOUD SCREENING METHODOLOGY FOR MERIS/AATSR SYNERGY PRODUCTS

This paper describes the current development status of a cloud-screening method that exploits the combined information of both MERIS and AATSR instruments on board ENVISAT in order to improve current cloud masking products for both sensors. Preliminary results based on simulated TOA radiance from radiative transfer models (RTM) are analyzed in this ﬁrst stage of the study. Some recommendations in terms of synergy strategies, relevant features for cloud screening, and requirements for the ﬁnal RTM simulations are given. This work is being developed in the frame of the ‘MERIS/AATSR Synergy Algorithms for Cloud Screening, Aerosol Retrieval, and Atmospheric Correction’ ESA project.