Expression Matching Research Articles

Spontaneous emotional coordination of first-born dizygotic twins and singletons with their mothers in early infancy

We compare matching of facial expressions of emotion, completion of the positive valence of emotional expression, attunement of emotional intensity, and non-matching of emotion, in engagements with their mothers of firstborn dizygotic twins and of singletons. Nine twins and nine singletons were video-recorded at home in spontaneous face-to-face interactions from the second to the sixth month after birth. Microanalysis of infant and maternal facial expressions of emotion revealed qualitative and quantitative differences that indicate that engagements with twins had more frequent and more accurate emotional matching and attunements compared to those with singletons. Singletons displayed more emotional completion and non-matching reactions. Expressions of matching for pleasure and interest followed different developmental patterns in the two kinds of dyads. These results are discussed in relation to the theory of innate affective intersubjectivity. Differences may shed light on the relationship between sharing early life with a twin, and development of self-other awareness.

Automated Generation of BSP Automata

Bulk-Synchronous Parallel (BSP) is a bridging model between abstract execution and concrete parallel architectures that retains enough information to model performance scalability. In order to model BSP program executions, Hains adapted the theory of finite automata to the BSP paradigm by introducing BSP automata [12]. In the initial description of the theory, BSP automata had to be explicitly defined as structured sets of states and transitions. The lack of a clean and efficient algorithm for generating them from regular expressions would have prevented this theory from being used in practice. To alleviate this problem we introduce in this paper an algorithm that generates a BSP automaton recognizing a BSP language defined by a BSP regular expression. The main practical use of BSP automata developed in this paper is the parallelization of finite state automata with an explicit distribution and a performance model, that enable parallel matching of regular expressions. Secondarily, BSP regular expressions provide a convenient structure for automatic code generation of imperative BSP programs that is also developed in this paper.

An Improved Indexing and Matching Method for Mathematical Expressions Based on Inter-Relevant Successive Tree

In recent years, a growing number of math contents are available on the Web. When conventional search engines deal with mathematical expressions, the two-dimen- sion-al structure of mathematical expressions is lost, which results in a low performance of math retrieval. While the retrieval technology specifically designed for mathematical expressions is not mature currently. Aiming at these problems, an improved mathematical expression indexing and matching method was proposed through employing full text index method to deal with the two-dimensional structure of mathematical expressions. Firstly, through the fully consideration of LaTeX formulae’ characteristics, a feature representation method of mathematical expressions and a clustering method of feature keywords were put forward. Then, an improved inter-relevant successive trees index model was applied to the construction of the mathematical expression index, in which the cluster algorithm of mathematical expression features was employed to solve the problem of the quantity growth of the trees in processing large amount of formulae. Finally, the matching algorithms of mathematical expressions were given which provide four query modes called exact matching, compatible matching, sub-expression matching and fuzzy matching. In browser/server mode, 110027 formulae were used as experimental samples. The index file size was 29.02 Mb. The average time of retrieval was 1.092 seconds. The experimental result shows the effectiveness of the method.

Can the Outputs of LGN Y-Cells Support Emotion Recognition? A Computational Study.

It has been suggested that emotional visual input is processed along both a slower cortical pathway and a faster subcortical pathway which comprises the lateral geniculate nucleus (LGN), the superior colliculus, the pulvinar, and finally the amygdala. However, anatomical as well as functional evidence concerning the subcortical route is lacking. Here, we adopt a computational approach in order to investigate whether the visual representation that is achieved in the LGN may support emotion recognition and emotional response along the subcortical route. In four experiments, we show that the outputs of LGN Y-cells support neither facial expression categorization nor the same/different expression matching by an artificial classificator. However, the same classificator is able to perform at an above chance level in a statistics-based categorization of scenes containing animals and scenes containing people and of light and dark patterns. It is concluded that the visual representation achieved in the LGN is insufficient to allow for the recognition of emotional facial expression.

Comparing emotional coordination in early spontaneous mother–infant and father–infant interactions

We compare matching of facial expressions and attunement of emotional intensity in spontaneous communication of mothers with infants and of fathers with infants, in families in Crete. Eleven infant–mother and 11 infant–father dyads were video-recorded at home in familiar interactions from the 2nd to the 6th month. Microanalysis of infant, maternal and paternal facial expressions of emotion provided evidence of quantitative differences that favour father–infant interaction as more playful, but the infants' behaviours with mothers and fathers show similar developmental curves. These results are discussed in the frame of the theory of innate intersubjectivity and of the emotional support parents give to developing motives of infants.

Abstract LB-349: Differential expression of microRNAs in oligodendrogliomas of different grades of malignancy

Abstract MicroRNAs (miRNAs) are large tiny regulatory RNAs found ubiquitously in plants, insects and mammals. More recently, miRNAs have also been implicated in oncogenesis, acting as tumor suppressors or oncogenes. The role of miRNAs in glioma progression has been intensively investigated chiefly in glioblastomas, the most prevalent malignant glioma. However, there are few data regarding to miRNA expression in oligodendrogliomas. The main goal of this study was to evaluate miRNAs and mRNAs that are differentially expressed in a series of grade II and III oligodendrogliomas (7 per group, with duplicates) in order to obtain miRNAs that correlate with their putative target-mRNAs. After microdissection and diagnosis confirmation, miRNAs and mRNAs expression were evaluate using microarray-based expression profiling platforms (723 transcripts and 41,000 genes, respectively) at same tumor specimens. As controls, samples of temporal lobe white matter from patients operated for clinical intractable complex partial seizures were used (n = 16). Fifteen and 29 miRNAs transcripts were relatively hyper- and hypoexpressed in anaplastic oligodendrogliomas; however, after matching of miRNAs and putative target-mRNAs expressions, only 4 miRNAs transcripts remained overexpressed in which target genes have pivotal role in key cell signaling pathways. Similarly, 20 of 29 miRNAs transcripts remained down regulated. Of these, 4 miRNAs that were previously described as to be involved in cell differentiation in embryonic stem cells (ESC) are being validated through their target genes by real time PCR. Herein, we were able to identify putative oncogenic miRNAs that can be operating in oligodendrogliomas progression, expanding our knowledge about tumor biology and disclosing possible molecular targets for treatment proposals. Support: FAPESP (Grant Proc. No. 05972–2) Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr LB-349. doi:10.1158/1538-7445.AM2011-LB-349

Visual scanpath dysfunction in first-degree relatives of schizophrenia probands: evidence for a vulnerability marker?

Previous research demonstrates that people with schizophrenia have abnormally ‘restricted’ visual scanpaths to face and facial expression stimuli, which appear to be diagnostically specific to schizophrenia [Schizophr. Res. 55 (2002) 159; Biol. Psychiatry 52 (2002) 338]. This study examined the familial transmission of ‘restricted’ scanpaths in first-degree relatives of schizophrenia subjects. We recorded visual scanpaths for 65 schizophrenia subjects, 37 biological first-degree relatives and 61 nonrelated ‘healthy’ control subjects in two experiments: ‘face recognition’ and ‘facial affect recognition’. Concurrent behavioral tasks were face matching and expression matching, each under two multiple-choice conditions (seven or three options). As predicted, first-degree relatives generally showed an attenuated form of the markedly ‘restricted’ scanpaths of schizophrenia subjects across all face stimuli. The notable exception to this pattern was the relatives' extreme avoidance of facial features (compared to both schizophrenia and healthy control groups). Our results offer the first evidence that some components of visual scanpath dysfunction may represent a trait marker in the familial transmission of schizophrenia, but that first-degree relatives may have additional disturbances in social cognition associated with the perception of facial features.

Schizophrenia and affective disorder show different visual scanning behavior for faces: a trait versus state-based distinction?

Background: Abnormal visual scanpaths to faces and facial expressions in schizophrenia may underlie schizophrenic subjects’ disturbed interpersonal communication. This study is the first to examine the specificity of these impairments to schizophrenia, by including an affective disorder psychiatric control group. Methods: The visual scanpath performance of 65 schizophrenia, 52 affective disordered, and 61 control subjects were compared in two experiments. In the “face recognition” experiment, subjects viewed four identifiable (non-degraded) neutral faces versus four matched non-identifiable (degraded) control faces. In the “facial affect recognition” experiment, subjects viewed positive (happy), negative (sad), and neutral (control) facial emotion stimuli. Concurrent behavioral tasks were face matching (face recognition) and expression matching (facial affect recognition), each under two multiple-choice conditions (7 or 3 options). Results: Scanpath disturbances were most apparent in schizophrenia subjects, who maintained a comparatively “restricted” scanpath style to all face stimuli. Schizophrenics subjects also showed the greatest recognition difficulties, particularly for neutral and happy faces. Scanpath parameters for affective disorder subjects differed only from the schizophrenia (but not the control) group, except for attention to facial features where they generally avoided facial features in all expressions and showed the greatest attentional problems of all groups for degraded faces. Conclusions: Our results suggest that a global restriction of visual scanpaths is specific to schizophrenic psychosis and might be a trait marker for this disorder, whereas scanpath abnormalities in affective disorder might instead reflect severe state-based (or discrete) attentional disturbances.

Intrusion detection techniques and approaches

Recent security incidents and analysis have demonstrated that manual response to such attacks is no longer feasible. Intrusion detection systems (IDS) offer techniques for modelling and recognising normal and abusive system behaviour. Such methodologies include statistical models, immune system approaches, protocol verification, file and taint checking, neural networks, whitelisting, expression matching, state transition analysis, dedicated languages, genetic algorithms and burglar alarms. This paper describes these techniques including an IDS architectural outline and an analysis of IDS probe techniques finishing with a summary of associated technologies.

Different scalp topography of brain potentials related to expression and identity matching of faces

Event-related potentials (ERPs) and behavioral data were recorded while subjects performed two tasks on the same set of faces (presented in pairs). One task was identity matching and the other expression matching. Two groups of subjects participated, one familiar and the other unfamiliar with the faces. Subjects were less accurate in matching expressions than identity. Familiarity facilitated identity but not expression matching. ERPs to mismatches in both tasks elicited a negativity around 400 ms, which was similar in latency and amplitude in the two tasks, but differed in scalp topography. Whereas the mismatch negativity had the same landscape over the left hemisphere for both tasks, the component related to expression had larger amplitudes over the right-temporal regions. Familiarity had no effect on these negativities, although it affected a late positivity (LP). These results support the idea of distinct neural systems subserving face processing, and agree with a role of the right hemisphere for the processing of emotional expressions.

Interpreting figurative language expressions.

Interpretations of figurative language expressions were compared in matched samples of 28 language/learning-disabled (LLD) and 28 academically achieving (non-LLD) adolescents. LLD adolescents performed significantly poorer than their non-LLD age peers. All but 1 of 12 figurative language expressions contributed to the significant group difference. Stepwise discriminant analysis identified 3 figurative expressions as the best single predictors of an LLD group placement. Qualitative analysis indicated that the LLD group produced predominantly literal error interpretations while the non-LLD controls produced predominantly partial and/or incomplete error interpretations. The results indicate that interpretation and matching of figurative language expressions can assess levels of acquisition of metaphoric ability by adolescents and provide suggestions for intervention.