Miracle-dz/UniFAR-FTUs huggingface dataset:
Variation among Schools on Classroom Practices in Science Based on TIMSS-1999 in Turkey.

The purpose of this study was to investigate the differences among schools using student responses in the Trends in Mathematics and Science Study–1999 (TIMSS-99) data. Schools were classified into two groups based on eighth grade students' overall achievement in science. Two different discriminant function analyses were performed to distinguish high- and low-performing schools, based both on classroom practices and factor structures (student-centered activities, teacher-centered activities, attitudes toward technology use, socioeconomic status [SES], and doing well in science). The results indicate that there were significant differences between the two classifications of schools on ten variables regarding classroom practices and activities, and 29 variables regarding classroom practices, attitudes toward science, use of the computer and overhead projector (OHP), parental background characteristics, and need to do well in science. Contrary to general expectations, technology use (computer, OHP, etc.) was found to be negatively related to science achievement. Teachers should be trained on how to use technology in their classrooms. Turkey recently revised its curriculum to a student-centered approach and this might increase students' ability to transfer knowledge into real life. Teachers and schools should pay more attention to SES effects. Teachers should also work toward building students' confidence in science. © 2007 Wiley Periodicals, Inc. J Res Sci Teach 44: 1417–1435, 2007
Understanding Others' Feelings: The Role of the Right Primary Somatosensory Cortex in Encoding the Affective Valence of Others' Touch

Brain imaging studies in humans have shown the existence of a shared somatosensory representation in the primary somatosensory cortex (S1), putatively involved in understanding others' sensations (Keysers et al., 2010); however, the role of S1 in such a high-level process is still unknown. To ascertain the causal involvement of S1, and its possible hemispheric lateralization, in encoding the affective valence of emotional scenes, depicting, or not, a tactile event, we gave to healthy participants a picture-based affective go/no-go task and low-frequency repetitive transcranial magnetic stimulation (rTMS). The dorsolateral prefrontal cortex (DLPFC) was chosen as control site. rTMS over the right, but not the left, S1 selectively increased the participants' latencies in the affective go/no-go task, but only when the affective state was conveyed by touch; intriguingly, this interfering effect was associated with the empathic ability to adopt the subjective perspective of others. The left, not the right, DLPFC is also involved in affective go/no-go performance, but regardless of the sight of touch, and independently of empathic abilities. This novel evidence demonstrates the crossmodal role of right S1 in encoding the pleasant and aversive consequences of others' sensations evoked by touch.
Coding of level of ambiguity within neural systems mediating choice

Data from previous neuroimaging studies exploring neural activity associated with uncertainty suggest varying levels of activation associated with changing degrees of uncertainty in neural regions that mediate choice behavior. The present study used a novel task that parametrically controlled the amount of information hidden from the subject; levels of uncertainty ranged from full ambiguity (no information about probability of winning) through multiple levels of partial ambiguity, to a condition of risk only (zero ambiguity with full knowledge of the probability of winning). A parametric analysis compared a linear model in which weighting increased as a function of level of ambiguity, and an inverted-U quadratic models in which partial ambiguity conditions were weighted most heavily. Overall we found that risk and all levels of ambiguity recruited a common “fronto—parietal—striatal” network including regions within the dorsolateral prefrontal cortex, intraparietal sulcus, and dorsal striatum. Activation was greatest across these regions and additional anterior and superior prefrontal regions for the quadratic function which most heavily weighs trials with partial ambiguity. These results suggest that the neural regions involved in decision processes do not merely track the absolute degree ambiguity or type of uncertainty (risk vs. ambiguity). Instead, recruitment of prefrontal regions may result from greater degree of difficulty in conditions of partial ambiguity: when information regarding reward probabilities important for decision making is hidden or not easily obtained the subject must engage in a search for tractable information. Additionally, this study identified regions of activity related to the valuation of potential gains associated with stimuli or options (including the orbitofrontal and medial prefrontal cortices and dorsal striatum) and related to winning (including orbitofrontal cortex and ventral striatum).
Observation of playa salts as nuclei in orographic wave clouds

During the Ice in Clouds Experiment-Layer Clouds (ICE-L), dry lakebed, or playa, salts from the Great Basin region of the United States were observed as cloud nuclei in orographic wave clouds over Wyoming. Using a counterflow virtual impactor in series with a single-particle mass spectrometer, sodium-potassium-magnesium-calcium-chloride salts were identified as residues of cloud droplets. Importantly, these salts produced similar mass spectral signatures to playa salts with elevated cloud condensation nuclei (CCN) efficiencies close to sea salt. Using a suite of chemical characterization instrumentation, the playa salts were observed to be internally mixed with oxidized organics, presumably produced by cloud processing, as well as carbonate. These salt particles were enriched as residues of large droplets (>19 μm) compared to smaller droplets (>7 μm). In addition, a small fraction of silicate-containing playa salts were hypothesized to be important in the observed heterogeneous ice nucleation processes. While the high CCN activity of sea salt has been demonstrated to play an important role in cloud formation in marine environments, this study provides direct evidence of the importance of playa salts in cloud formation in continental North America has not been shown previously. Studies are needed to model and quantify the impact of playas on climate globally, particularly because of the abundance of playas and expected increases in the frequency and intensity of dust storms in the future due to climate and land use changes.
Measuring the deployment of IPv6: topology, routing and performance

We use historical BGP data and recent active measurements to analyze trends in the growth, structure, dynamics and performance of the evolving IPv6 Internet, and compare them to the evolution of IPv4. We find that the IPv6 network is maturing, albeit slowly. While most core Internet transit providers have deployed IPv6, edge networks are lagging. Early IPv6 network deployment was stronger in Europe and the Asia-Pacific region, than in North America. Current IPv6 network deployment still shows the same pattern. The IPv6 topology is characterized by a single dominant player -- Hurricane Electric -- which appears in a large fraction of IPv6 AS paths, and is more dominant in IPv6 than the most dominant player in IPv4. Routing dynamics in the IPv6 topology are largely similar to those in IPv4, and churn in both networks grows at the same rate as the underlying topologies. Our measurements suggest that performance over IPv6 paths is comparable to that over IPv4 paths if the AS-level paths are the same, but can be much worse than IPv4 if the AS-level paths differ.
Between politics and clinics -- the many faces of biomedical policy in Europe

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TRANSFER FACTOR THERAPY IN A PATIENT WITH CHRONIC VAGINAL CANDIDIASIS

A 32‐year‐old patient with chronic vaginal candidiasis was treated with 8 units of Transfer Factor (TF). Smears and cultures for Candida albicans became negative. Vaginal discharge and itching ceased, and the clinical condition of the vagina improved. Formerly negative delayed type skin tests with candidin converted to positive and Candida lymphocyte stimulation became measurable, suggesting that a defective cellular immunity towards Candida aas restored by TF. Candidiasis reappeared a few months after the last dose of TF when measurable cellular immunity towards candidin was still present. The condition responded rapidly to a local treatment with 5‐fluoro‐cytosin.
Requirement Engineering Assistance Diagnostic ( READ )

This report describes the Requirement Engineering Assistance Diagnostic project, READ, along with my responsibilities during my first work term, supervised by Prof. Olga Ormandjieva at Department of Computer Science and Software Engineering, Concordia University, May to August 2008. The ultimate goal of this research is to develop a Web-based tool which will guide the developers in their in-depth study of the quality of requirements documents and in the timely identification of risks that poorly specified requirements might introduce into the project. The READ project's aim is to automatically generate a graphical representation of a requirements text in the form of a UML model and its XML representation. This is accomplished by applying Natural Language Processing (NLP) techniques within the context of a Requirements Engineering (RE) process. As an undergraduate student involved in the project, I was mainly in charge of providing the proper documentations expressing different parts of the project. Therefore, I studied the project in-depth, gained a detailed insight to the project which was an asset for me to improve my research capabilities. I was also responsible for implementing the rules together with developing some tools for automatic processing.
A study on hierarchical side information generation structure in Distributed Video Coding

Side Information generation is one of major problems in Distributed Video Coding (DVC). This can be performed by motion compensated temporal interpolation (MCTI) between two closest key frames. However, when temporal distance between the key frames increases, its linear interpolation becomes less effective. This paper introduces a hierarchical side information generation structure applicable to DVC with long Group of Picture (GOP) sizes in mind. Moreover, two quantization parameter control techniques are proposed. Experimental results verify efficiency of the proposed algorithms.
Multivoxel MRS: right frontal parafalcine cortex - area of neurobiochemical gender differentiation?

OBJECTIVE To determine the presence of gender neurometabolic differences in healthy men and women by multivoxel magnetic resonance spectroscopy (MRS). MATERIALS AND METHODS We performed multivoxel magnetic resonance imaging and spectroscopy in 50 healthy volunteers (27 women and 23 men) using 1.5T scanner. Spectra from 12 different voxels were obtained, covering frontal, paracentral, and parietal white and gray matter. Three dominant signals were analyzed: NAA, tCr and Cho, and expressed as ratios of Cho/tCr, NAA/tCr, NAA/Cho. RESULTS There was statistically significant gender difference between Cho/Cr and NAA/Cr metabolites ratio in only one location - the right frontal parafalcine cortex. There was no statistically significant difference in NAA/Cho ratio between men and women. CONCLUSION Our study suggests that right frontal parafalcine cortex is a sexually dysmorphic area and supports the value of multivoxel MRS as a method able to define spatial biochemical heterogeneity of the cerebral tissue.
Creative cities through local heritage revival: a perspective from Jordan/Madaba.

Cities in developed countries are increasingly challenged by the advent of a global economy that mandates generating creative images of their cities. Meanwhile, it is argued in this study that globalisation, and its Arabic version of Dubaisation, is affecting the sustainability of cities as distinguished destinations because urban representation is influenced not only by ‘standardised global cliche’ but also by ‘standardised local images’ that transforms local cultures into contested heritage as it intensifies an official and civic nexus. The paradox is examined in Jordan, specifically the famously branded ‘city of mosaic’ – Madaba, where the state government is currently competing for attracting international investments and tourism development to achieve neoliberal urban restructuring. Urban heritage representation has been subject to passive dominant official discourse that rests upon orthodox mosaic practices of remote past – a praxis that is not necessarily endorsed by civic Ahl elbalad. The local mo.
MicroRNA expression array identifies novel diagnostic markers for conventional and oncocytic follicular thyroid carcinomas.

OBJECTIVE The most difficult thyroid tumors to be diagnosed by cytology and histology are conventional follicular carcinomas (cFTCs) and oncocytic follicular carcinomas (oFTCs). Several microRNAs (miRNAs) have been previously found to be consistently deregulated in papillary thyroid carcinomas; however, very limited information is available for cFTC and oFTC. The aim of this study was to explore miRNA deregulation and find candidate miRNA markers for follicular carcinomas that can be used diagnostically. DESIGN Thirty-eight follicular thyroid carcinomas (21 cFTCs, 17 oFTCs) and 10 normal thyroid tissue samples were studied for expression of 381 miRNAs using human microarray assays. Expression of deregulated miRNAs was confirmed by individual RT-PCR assays in all samples. In addition, 11 follicular adenomas, two hyperplastic nodules (HNs), and 19 fine-needle aspiration samples were studied for expression of novel miRNA markers detected in this study. RESULTS The unsupervised hierarchical clustering analysis demonstrated individual clusters for cFTC and oFTC, indicating the difference in miRNA expression between these tumor types. Both cFTCs and oFTCs showed an up-regulation of miR-182/-183/-221/-222/-125a-3p and a down-regulation of miR-542-5p/-574-3p/-455/-199a. Novel miRNA (miR-885-5p) was found to be strongly up-regulated (>40-fold) in oFTCs but not in cFTCs, follicular adenomas, and HNs. The classification and regression tree algorithm applied to fine-needle aspiration samples demonstrated that three dysregulated miRNAs (miR-885-5p/-221/-574-3p) allowed distinguishing follicular thyroid carcinomas from benign HNs with high accuracy. CONCLUSIONS In this study we demonstrate that different histopathological types of follicular thyroid carcinomas have distinct miRNA expression profiles. MiR-885-5p is highly up-regulated in oncocytic follicular carcinomas and may serve as a diagnostic marker for these tumors. A small set of deregulated miRNAs allows for an accurate discrimination between follicular carcinomas and hyperplastic nodules and can be used diagnostically in fine-needle aspiration biopsies.
Genetic Algorithm Approach to Edge Detection for Dental X-ray Image Segmentation

Genetic Algorithm is an optimization solver, which does an analogy to Darwin evolution by combining mutation, crossover and selection step. One of the biggest advantages of Genetic Algorithm is its ability to find a global optimum. The X-ray data set, which consists of an image and its expected edge features, is used for training by the GA. Image edge detection refers to the extraction of the edges in a digital image. An edge is a boundary between the object and its background. Edge detection is most common approach to detect discontinuity in an image. Edge detection is a process to identify points in an image where discontinuities or sharp changes in intensity occur. This process is crucial to understanding the content of an image and has its applications in image analysis and machine vision. Edge detection is usually applied in initial stages of computer vision applications. In this paper, the main aim is to study the edge detection method for Dental X-ray image segmentation based on a genetic algorithm approach.
BCB 1 genetic variability and methadone osage requirements in opioid-dependent ndividuals

Background and Objectives: The most common treatment for opioid dependence is substitution therapy with another opioid such as methadone. The methadone dosage is individualized but highly variable, and program retention rates are low due in part to nonoptimal dosing resulting in withdrawal symptoms and further heroin craving and use. Methadone is a substrate for the P-glycoprotein transporter, encoded by the ABCB1 gene, which regulates central nervous system exposure. This retrospective study aimed to investigate the influence of ABCB1 genetic variability on methadone dose requirements. Methods: Genomic deoxyribonucleic acid was isolated from opioid-dependent subjects (n 60) and non– opioid-dependent control subjects (n 60), and polymerase chain reaction–restriction fragment length polymorphism and allele-specific polymerase chain reaction were used to determine the presence of single nucleotide polymorphisms at positions 61, 1199, 1236, 2677, and 3435. ABCB1 haplotypes were inferred with PHASE software (version 2.1). Results: There were no significant differences in the allele or genotype frequencies of the individual single nucleotide polymorphisms or haplotypes between the 2 populations. ABCB1 genetic variability influenced daily methadone dose requirements, such that subjects carrying 2 copies of the wild-type haplotype required higher doses compared with those with 1 copy and those with no copies (98.3 10.4, 58.6 20.9, and 55.4 26.1 mg/d, respectively; P .029). In addition, carriers of the AGCTT haplotype required significantly lower doses than noncarriers (38.0 16.8 and 61.3 24.6 mg/d, respectively; P .04). Conclusion: Although ABCB1 genetic variability is not related to the development of opioid dependence, identification of variant haplotypes may, after larger prospective studies have been performed, provide clinicians with a tool for methadone dosage individualization. (Clin Pharmacol Ther 2006;80:682-90.)
Yokukansan Increases 5-HT1A Receptors in the Prefrontal Cortex and Enhances 5-HT1A Receptor Agonist-Induced Behavioral Responses in Socially Isolated Mice

The traditional Japanese medicine yokukansan has an anxiolytic effect, which occurs after repeated administration. In this study, to investigate the underlying mechanisms, we examined the effects of repeated yokukansan administration on serotonin 1A (5-HT1A) receptor density and affinity and its expression at both mRNA and protein levels in the prefrontal cortex (PFC) of socially isolated mice. Moreover, we examined the effects of yokukansan on a 5-HT1A receptor-mediated behavioral response. Male mice were subjected to social isolation stress for 6 weeks and simultaneously treated with yokukansan. Thereafter, the density and affinity of 5-HT1A receptors were analyzed by a receptor-binding assay. Levels of 5-HT1A receptor protein and mRNA were also measured. Furthermore, (±)-8-hydroxy-2-(dipropylamino)tetralin hydrobromide (8-OH-DPAT; a 5-HT1A receptor agonist) was injected intraperitoneally, and rearing behavior was examined. Social isolation stress alone did not affect 5-HT1A receptor density or affinity. However, yokukansan significantly increased receptor density and decreased affinity concomitant with unchanged protein and mRNA levels. Yokukansan also enhanced the 8-OH-DPAT-induced decrease in rearing behavior. These results suggest that yokukansan increases 5-HT1A receptors in the PFC of socially isolated mice and enhances their function, which might underlie its anxiolytic effects.
Perceptual strategies in prelingual speech segmentation

ABSTRACT Previous work has suggested that infants may segment continuous speech by a BRACKETING STRATEGY that segregates portions of the speech stream based on prosodic cues to their endpoints. The two present studies were designed to assess whether infants also can deploy a CLUSTERING STRATEGY that exploits asymmetries in transitional probabilities between successive elements, aggregating elements with high transitional probabilities and identifying points of low transitional probabilities as boundaries between units. These studies examined effects of the structure and redundancy of speech context on infants' discrimination of two target syllables using an operant head-turning procedure. After discrimination training on the target syllables in isolation, discrimination maintenance was tested when the target syllables were embedded in one of three contexts. Invariant Order contexts were structured to promote clustering, whereas the Redundant and Variable Order contexts were not. Thirty-six seven-month-olds were tested in Experiment I, in which stimuli were produced with varying intonation contours; 36 eight-month-olds were tested in Experiment 2, in which stimuli were produced with comparable flat pitch contours. In both experiments, performance of the three groups was equivalent in an initial 20-trial test. However, in a second 20-trial test, significant improvements in performance were shown by infants in the Invariant Order condition. No such gains were shown by infants in the other two conditions. These studies suggest that clustering may complement bracketing in infants' discovery of units of language.
CL system: Giving instructions by corpus based selection

The CL system uses an algorithm that, given a task-based corpus situated in a virtual world, which contains human instructor's speech acts and the user's responses as physical actions, generates a virtual instructor that helps a user achieve a given task in the virtual world. In this report, we explain how this algorithm can be used for generating a virtual instructor for a game-like, task-oriented virtual world such as GIVE's.