Miracle-dz/UniFAR-FTUs huggingface dataset:
The Economist and The Financial Times. A study of movement metaphors

This paper features the analysis of metaphors describing market movements in a corpus of web retrieved articles taken from the electronic archive of the periodical The Economist and the newspaper The Financial Times. The reason for choosing these two sources comes from the need to create a semitechnical corpus about the language of economics meant for a more specialised readership. All the articles have been published between July 2001 and June 2002, that is six months before and six months after the introduction of the single currency. The reasons for opting for this span of time are that it is the period of maximum interest in the historical event of the currency changeover, and that it could grant us the opportunity to examine market movements in texts focusing on an equivalent subject matter. As for the analytic framework chosen for the linguistic investigation, we have based it on the cognitive theories of metaphors (Lakoff and Johnson 1980) which see them as linguistic expressions and mental representations; in particular, we have based our analysis following the theories of previous researchers who applied cognitive theories to the study of the language of economics (Charteris-Black 2000, Charteris-Black and Ennis 2001, Henderson 1994). The aim of this study is to illustrate the use of equivalent categories of metaphors of movement in the two papers. Through the comparison of the hits it is also possible to reveal some significant differences in the frequency of particular instances even within the same domain. For example, a preliminary quantitative analysis of The Financial Times has shown twice as many hits as The Economist from the domain MARKET MOVEMENTS ARE NAUTICAL OR WAYS OF MOVING IN THE WATER. The examination of participants and circumstances involved in movement metaphors made it possible to enquire into the nature of the economy and the market. That is, we have differentiated between economy and market moving as autonomous entities and as entities whose movements depend on human intervention. The various electronic searches on the corpus will develop results which might give an insight into the way the newspaper and the magazine build their discourse strategies.
Self-learning and adaptive board-level functional fault diagnosis

Functional fault diagnosis is necessary for board-level product qualification. However, ambiguous diagnosis results can lead to long debug times and wrong repair actions, which significantly increase repair cost and adversely impact yield. A state-of-the-art functional fault diagnosis system involves several key components: (1) design of functional test programs, (2) collection of functional-failure syndromes, (3) building of the diagnosis engine, (4) isolation of root causes, and (5) evaluation of the diagnosis engine. Advances in each of these components can pave the way for a more effective diagnosis system, thus improving diagnosis accuracy and reducing diagnosis time. Machine-learning and data analysis techniques offer an unprecedented opportunity to develop an automated and adaptive diagnosis system to increase diagnosis accuracy and reduce diagnosis time. This paper describes how all the above components of an advanced diagnosis system can benefit from machine learning and information theory. Topics discussed include incremental learning, decision trees, root-cause analysis and evaluation metrics, data acquisition, and knowledge transfer.
Spectro-temporal response field characterization with dynamic ripples in ferret primary auditory cortex.

To understand the neural representation of broadband, dynamic sounds in primary auditory cortex (AI), we characterize responses using the spectro-temporal response field (STRF). The STRF describes, predicts, and fully characterizes the linear dynamics of neurons in response to sounds with rich spectro-temporal envelopes. It is computed from the responses to elementary "ripples," a family of sounds with drifting sinusoidal spectral envelopes. The collection of responses to all elementary ripples is the spectro-temporal transfer function. The complex spectro-temporal envelope of any broadband, dynamic sound can expressed as the linear sum of individual ripples. Previous experiments using ripples with downward drifting spectra suggested that the transfer function is separable, i.e., it is reducible into a product of purely temporal and purely spectral functions. Here we measure the responses to upward and downward drifting ripples, assuming reparability within each direction, to determine if the total bidirectional transfer function is fully separable. In general, the combined transfer function for two directions is not symmetric, and hence units in AI are not, in general, fully separable. Consequently, many AI units have complex response properties such as sensitivity to direction of motion, though most inseparable units are not strongly directionally selective. We show that for most neurons, the lack of full separability stems from differences between the upward and downward spectral cross-sections but not from the temporal cross-sections; this places strong constraints on the neural inputs of these AI units.
Establishment of a flow cytometric assay for determination of human platelet glycoprotein VI based on a mouse polyclonal antibody

Glycoprotein VI (GPVI) is the major signaling receptor for collagen on platelets. Recent studies suggest that the surface density of GPVI is related to the activation of platelets by collagen. To measure the level of GPVI on platelets, a mouse polyclonal antibody BJ010 was prepared using an amplified fragment of extracellular domain in GPVI. The specific reactivity of BJ010 was identified by anti‐GPVI specific monoclonal antibody 11a12 using immunoprecipitation, sandwich enzyme‐linked immunosorbent assay (ELISA) and flow cytometry. The antibody BJ010 recognized both native and denatured human GPVI so that it was used to set up a flow cytometric assay to detect the level of GPVI in normal subjects. The relative level of GPVI on platelets was detected in 101 healthydonors. The median geometric mean fluorescence intensity (GMFI) of platelet GPVI level was 57.7. The variation between minimum and maximum values of platelet GPVI and integrin α2β1 were found to be 3.5‐ and 4.1‐fold, respectively, in the normal subjects. There was a week correlation between the amount of GPVI and integrin α2β1 on platelet surfaces. For the method, the intraassay and interassay coefficient of variation was 6.3% and 8.8%, respectively. The flow cytometric assay described here provides a simple, reliable, reproducible, and readily available means of quantitation of collagen receptor GPVI density on the platelet surface in a larger number of blood samples. J. Clin. Lab. Anal. 20:250–254, 2006. © 2006 Wiley‐Liss, Inc.
Speech Transcript Evaluation for Information Retrieval

Speech recognition transcripts are being used in various fields of research and practical applications, putting various demands on their accuracy. Traditionally ASR research has used intrinsic evaluation measures such as word error rate to determine transcript quality. In non-dictation-type applications such as speech retrieval, it is better to use extrinsic (or task specific) measures. Indexation and the associated processing may eliminate certain errors, whereas the search query may reveal others. In this work, we argue that the standard extrinsic speech retrieval measure average precision is unpractical for ASR evaluation. As an alternative we propose the use of ranked correlation measures on the output of the speech retrieval task, with the goal of predicting relative mean average precision. The measures we used showed a reasonably high correlation with average precision, but require much less human effort to calculate and can be more easily deployed in a variety of real-life settings.
DNA topoisomerases: why so many?

Several new DNA topoisomerases have been discovered recently. In the yeast Saccharomyces cereuisiae, a gene has been identified to encode a protein homologous to eubacterial DNA topoisomerase I; this gene has been termed TOP3 and its product DNA topoisomerase I11 (1). Sequence data suggest that a yeast gene HPRl may encode yet another DNA topoisomerase (2,3). In Escherichia coli, two genes parC and parE have been found to code for a new topoisomerase termed DNA topoisomerase IV; the amino acid sequences of the parC and parE polypeptides are homologous to, respectively, those of the A and B subunit of DNA gyrase, also termed bacterial DNA topoisomerase I1 (4).
Fast CMOS binary front end for silicon strip detectors at LHC experiments

We present design and test results of the front-end circuit developed in a 0.25 mum complementary metal-oxide semiconductor technology. The aim of this work is to study the performance of a deep submicron process in applications for fast binary front ends for silicon strip detectors. The channel comprises a fast transimpedance preamplifier working with an active feedback loop, two stages of the amplifier-integrator circuits providing 22 ns peaking time, and a two-stage differential discriminator. A particular effort has been made to minimize the current and the power consumption of the preamplifier, while keeping the required noise and timing performance. For a detector capacitance of 20 pF noise below 1500 e- equivalent noise charge (ENC) has been achieved for 300 muA bias current in the input transistor, which is comparable with the levels achieved in the past for the front end using a bipolar input transistor. The total supply current of the front end is 600 muA and the power dissipation is 1.5 mW per channel. The offset spread of the comparator is below 3 mV rms
A comparative analysis of face recognition performance with visible and thermal infrared imagery

We present a comprehensive performance analysis of multiple appearance-based face recognition methodologies, on visible and thermal infrared imagery. We compare algorithms within and between modalities in terms of recognition performance, false alarm rates and requirements to achieve specified performance levels. The effect of illumination conditions on recognition performance is emphasized, as it underlines the relative advantage of radiometrically calibrated thermal imagery for face recognition.
Relationship trauma: Assessing the criteria of trauma in adult intimate abusive relationships

The present study analyzed the factor structure of items related to trauma experienced in the context of an abusive intimate adult relationship. One hundred and twenty male and female participants who experienced an abusive traumatic relationship completed the post-traumatic stress syndrome (PTRS) questionnaire, a 40-item scale, measuring several dimensions of relationship trauma. The scale was shown to have strong reliability (� = 0.97) with alphas between 0.70 and 0.96 for the varying factors. Seven meaningful factors resulted from an exploratory factor analysis used to assess the performance of items related to trauma symptomatology in abusive relationships. These factors included: Physiological Anxiety Responses, Safety/Trust,Hyperarousal, Emotional/Cognitive Dysregulation, Intimate Relational Changes, Emotional/Psychological Distress, and Loss/Isolation. The PTRS questionnaire appears to be a reliable and valid screening tool for relationship trauma.
Oral Vaccination Based on DNA-Chitosan Nanoparticles against Schistosoma mansoni Infection

The development of a vaccine would be essential for the control of schistosomiasis, which is recognized as the most important human helminth infection in terms of morbidity and mortality. A new approach of oral vaccination with DNA-chitosan nanoparticles appears interesting because of their great stability and the ease of target accessibility, besides chitosan immunostimulatory properties. Here we described that chitosan nanoparticles loaded with plasmid DNA encoding Rho1-GTPase protein of Schistosoma mansoni, prepared at different molar ratios of primary amines to DNA phosphate anion (N/P), were able to complex electrostatically with DNA and condense it into positively charged nanostructures. Nanoparticles were able to maintain zeta potential and size characteristics in media that simulate gastric (SGF) and intestinal fluids (SIF). Further in vivo studies showed that oral immunization was not able to induce high levels of specific antibodies but induced high levels of the modulatory cytokine IL-10. This resulted in a significative reduce of liver pathology, although it could not protect mice of infection challenge with S. mansoni worms. Mice immunized only with chitosan nanoparticles presented 47% of protection against parasite infection, suggesting an important role of chitosan in inducing a protective immune response against schistosomiasis, which will be more explored in further studies.
A Modular Strategy for Control and Voltage Balancing of Cascaded H-Bridge Rectifiers

In this paper, a new strategy for voltage balancing of distinct dc buses in cascaded H-bridge rectifiers is presented. This method ensures that the dc bus capacitor voltages converge to the reference value, even when the loads attached to them are extracting different amounts of power. The proposed method can be used for an arbitrary number of series H-bridges, different voltage levels, and different power levels in unidirectional or bidirectional rectifiers. To reduce the current harmonics and distortion, the input current is programmed to be sinusoidal and in phase with the input voltage; however, it is possible to adjust the input power factor to control both the active and reactive powers. In the proposed approach, both the low frequency (stepped modulation) and high frequency [pulse-width modulation (PWM)] switching methods are utilized to improve the performance of the rectifier. Using theoretical analysis, the acceptable load power limits for a rectifier with N-H-bridge cells are derived. The validity of the proposed method is verified by simulation and experimental results.
Realistic MHD simulations of the Evershed flow in a sunspot penumbra

In the spring of 1909 Evershed published a remarkable discovery of strong horizontal mass flows in sunspots penumbra, the outer part of sunspots characterized by filamentary magnetic field structures (Evershed 1909). The flows, with typical speed of 1 – 4 km/s (Mach number 0.2 – 0.7), start at the boundary between the umbra and penumbra and expand radially, accelerating with distance and suddenly stopping at the outer sunspot boundary. The Evershed effect may play significant role in the formation, stability, and dynamics of sunspots and is considered one of the fundamental process in solar physics. This phenomenon caused significant interest and detailed observational and theoretical investigations, but the understanding of the physical mechanism is still missing (a recent review is published by Tritschler 2009). High-resolution observations from large ground-based telescopes and the Hinode space mission revealed a complicated filamentary structure of these flows (Rimmele 1994, 1995; Ichimoto et al. 2007a,b) and their non-stationary dynamics in the form of fast (M ∼ 1) quasiperiodic flow patterns " Evershed clouds " In some cases, the flows show a large-scale coherent organization across several flow channels (Shine et al. 1994) and also a wave-like behavior (Rimmele 1994; Georgakilas & Christopoulou 2003). Theories of the Evershed effect can be divided in two categories: as channel flows in successfully modeled the filamentary magnetic structure of sunspot penumbra and horizontal outflows, thus providing a strong support for the magnetoconvective nature of the Evershed effect (Scharmer et al. 2008). In this paper, we present a study of solar magnetoconvection in the presence of an inclined magnetic field, based on the realistic radiative MHD simulations, and link the Evershed effect to the phenomenon of traveling magnetoconvection waves. The convec-tive waves is an interesting MHD phenomenon (Weiss 1991), which, in fact, has been previously suggested as a reason for the Evershed flows (Hurlburt et al. 2000), but the suggestion was not developed further. Our study provides a basis for explaining the Ever-shed effect as a result of traveling magnetoconvection waves in highly inclined magnetic field of sunspot penumbra. The phenomenon of traveling magnetoconvection waves is considered also in the dynamics of the Earth's core (Walker & Barenghi 1999; Zhang 1999),and may happen in various astrophysical objects, such as magnetic stars, accretion disks, compact objects and active galactic nuclei. Thus, detailed observational and theoretical studies of this phenomenon are of great interest.
Sexually Abused Children Suffering Posttraumatic Stress Symptoms: Initial Treatment Outcome Findings

This study examined the differential effects of child or non-offending mother participation in a cognitive behavioral intervention designed to treat posttraumatic stress disorder (PTSD) and other behavioral and emotional difficulties in school-aged sexually abused children. The 100 participating families were randomly assigned to one of three experimental treatment conditions—child only, mother only, or mother and child—or to a community control condition. Pre- and post-treatment evaluation included standardized measurement of children's behavior problems, anxiety, depression, and PTSD symptoms as well as of parenting practices. Two-by-two least-squares analyses of covariance were used to compare outcome measures. Results indicated that mothers assigned to the experimental treatment condition described significant decreases in their children's externalizing behaviors and increases in effective parenting skills; their children reported significant reductions in depression. Children who were assigned to the experimental intervention exhibited greater reductions in PTSD symptoms than children who were not. Implications for treatment planning and further clinical research are discussed.
The Remediation of Pass Cognitive Processing in Helping Children with Reading Difficulties

This study examined the effectiveness of Cognitive Assessment System (CAS) in measuring PASS cognitive functions of children with Reading Difficulties (RD). The PASS cognitive functions that represent human intelligence were based on the Luria‘s three functional units of brain which are Planning, Attention, Simultaneous and Successive (PASS). Cognitive Assessment System (CAS) was used to measure the PASS cognitive functions, while Wide Range Achievement Test-4 (WRAT-4) was used to determine reading processes Word Reading, Reading Comprehension and Spelling. CAS and WRAT-4 were administered individually to 50 normal readers and 50 children with RD from the primary Standard 3 English as the second language (ESL) learners. First part of this study aimed to obtain profiles of the CAS and WRAT-4, and to determine the specific weakness of cognitive functions and reading processes of children with RD. There were distinct PASS cognitive profiles among the children with RD, but gender was not the determinant. There were also significant differences for both PASS cognitive processing and reading processes between the normal readers and children with RD. There was no significant difference between girls and boys in term of cognitive functioning except one which female significantly outperformed male on Word Reading among children with RD. However, girls scored higher on Planning and Attention processing while boys scored higher on Simultaneous and Successive processing. Overall, the poor readers were significantly lower for Simultaneous processing. Result of WRAT-4 indicated that both groups of readers had low scores on reading comprehension. Besides, there was significant relationship between PASS cognitive functions and reading composite (r = 0.381, p < 0.01) among the children with RD and (r = 0.412, p < 0.01) among the normal readers. While, the simultaneous processing was significantly correlated with reading comprehension (r = 0.395, p < 0.01). Second part of this study was an experimental design that revealed the intervention of PREP program which had effectively enhanced the Simultaneous processing.
Automatic music tagging via PARAFAC2

Automatic music tagging is addressed by resorting to auditory temporal modulations and Parallel Factor Analysis 2 (PARAFAC2). The starting point is to represent each music recording by its auditory temporal modulations. Then, an irregular third order tensor is formed. The first slice contains the vectorized training temporal modulations, while the second slice contains the corresponding multi-label vectors. The PARAFAC2 is employed to effectively harness the multi-label information for dimensionality reduction. Any vectorized test auditory representation of temporal modulations is first projected onto the semantic space derived via the PARAFAC2 and the coefficient vector is obtained. Then, the annotation vector is obtained by multiplying this coefficient vector by the left singular vectors of the second slice (i.e., the slice associated to the label vector). The proposed framework, outperforms the state-of-the-art auto-tagging systems, when applied to the CAL500 dataset in a 10-fold cross-validation experimental protocol.
Software project schedule variance prediction using Bayesian Network

The major objective of software engineer is to guarantee to deliver high-quality software on time and within budget. But as the development of software technology and the rapid extension of application areas, the size and complexity of software is increasing so quickly that the cost and schedule is often out of control. However, few groups or researchers have proposed an effective method to help project manager make reasonable project plan, resource allocation and improvement actions. This paper proposes Bayesian Network to solve the problem of predicting and controlling of software schedule in order to achieve proactive management. Firstly, we choose factors influencing software schedule and determine some significant cause-effect relationship between factors. Then we analyze data using statistical analysis and deal with data using data discretization. Thirdly, we construct the Bayesian structure of software schedule and learn the condition probability table of the structure. The structure and condition probability table constitute the model for software schedule variance. The model can be used not only to help project manager predict probability of software schedule variance but also guide software developers to make reasonable improvement actions. At last, an application shows how to use the model and the result proves the validity of the model. In addition, a sensitivity analysis is developed with the model to locate the most important factor of software schedule variance.
Immobilization Technique for High-Resolution MR Imaging of the Testes

Techniques for testis immobilization can facilitate high-resolution MR imaging applications for testicular diseases by assuring good positioning of the testis on small radiofrequency coils and reducing motion artifacts. We tested negative pressure suction to immobilize the testis of rats during MR image acquisitions. Suction pressure between −5 and −10 kPa assured good positioning, suppressed motion artifacts, and allowed the observation of blood vessels and seminiferous tubules.