Miracle-dz/UniFAR-FTUs huggingface dataset:
Teaching Key Vocabulary in Geography and Science Classrooms: An Analysis of Teachers’ Practice with Particular Reference to EAL Pupils’ Learning

This paper discusses findings from research conducted in an inner-city middle school in England where the majority of pupils spoke languages other than English as a first language. The research was motivated both by a belief that the language needs of English as an additional language (EAL) pupils are not properly addressed in the National Curriculum and by a specific concern of the subject teachers that the EAL pupils’ small English vocabularies resulted in their lack of oral participation in lessons and contributed to their below average attainment. The paper discusses the effects on the pupils’ learning of subject teachers’ practices in teaching key vocabulary in science and geography lessons. It argues that a more explicit, systematic and principled approach to vocabulary teaching needs to be integrated into National Curriculum pedagogy.
Portrayal of Depression and Other Mental Illnesses in Australian Nonfiction Media.

This study describes Australian media portrayal of mental illnesses, focusing on depression. A random sample of 1,123 items was selected for analysis from a pool of 13,389 nonfictional media items about mental illness collected between March 2000 and February 2001. Depression was portrayed more frequently than other mental illnesses. Items about depression, eating disorders, and substance use disorders most commonly described policies or programs, whereas items about schizophrenia most frequently portrayed individuals or symptoms and treatment. A minority of items about depression presented information about symptoms, causes, treatment, or prognosis. Although such information was generally accurate, a proportion of items conveyed misleading messages. There is therefore scope for increasing the level of accurate information provided about depression in the Australian media. (c) 2005 Wiley Periodicals, Inc.
The relationship between greater mindfulness and less subjective experience of chronic pain: Mediating functions of pain management self‐efficacy and emotional intelligence

Abstract Previous research shows a connection between greater mindfulness and less subjective experience of pain. The present study examined whether pain management self‐efficacy and emotional intelligence mediate this relationship in individuals experiencing chronic pain. Two hundred participants experiencing chronic pain completed measures of mindfulness, experience of pain, pain management self‐efficacy, and emotional intelligence. Greater mindfulness was associated with less subjective experience of pain, greater pain management self‐efficacy, and more emotional intelligence. More pain management self‐efficacy and higher emotional intelligence were associated with less subjective experience of pain. Emotional intelligence and pain management self‐efficacy significantly mediated the relationship between mindfulness and pain. The connection between greater mindfulness and less subjective experience of pain may be due to mindfulness providing a foundation for emotional functioning and behavioural regulation that result in reductions in the experience of pain.
How Do School Systems Manage Pupils’ Heterogeneity?

School systems worldwide respond in particular ways to students’ academic heterogeneity, and different countries have developed different strategies to manage such heterogeneity. Whereas some countries separate children according to distinctive educational routes (or tracks) at early ages, others rely on intensive use of grade retention, while others more commonly use individualized teaching or tutoring. Previous studies have investigated the influence of such forms of differentiation on students’ performance and trajectories and have compared the consequences of selective school systems (corresponding to early tracking) and those of comprehensive school systems. This stream of research has shown that school systems based on an early tracking process are characterized by a stronger relationship between students’ performance and sociocultural background. In this article, we base our comparison on the more complex classification proposed by Nathalie Mons (2007), which considers how school systems rely on a configuration of institutional parameters (i.e., tracking, ability grouping, grade retention, and individualized teaching) to manage pupils’ heterogeneity. Using data from the 2003 Programme for International Student Assessment (PISA) database, we use this typology to assess differences between four heterogeneity management models concerning the weakest students’ (1) academic routes, (2) educational environments, and (3) level of achievement and social inequality within school systems. Previous Research
Patterns of bullying and victimization associated with other problem behaviors among high school students: a conditional latent class approach

Though rates of bullying are commonly found to peak in middle schools, a non-negligible amount of bullying occurs among high schools too. More information regarding patterns of bullying involvement among high school students is needed, however, as well as greater insight into the relationship high school students' bullying involvement has with other problem behaviors. This study used latent class analysis to construct typologies of bullying involvement among over 3500 high school students from Virginia. Covariates of latent class membership were also examined in an effort to better understand the association between bullying involvement and internalizing and externalizing problem behaviors. A latent class model containing four classes was constructed, composed of a non-involved class (65%), a bullies class (12%), a victims class (16%), and a bully-victims class (8%). Externalizing problem behaviors were significantly higher among students in the bullies and bully-victims classes, while internalizing problem behaviors were higher among victims and bully-victims. Implications for the literature and for practitioners are discussed, as well as limitations and future directions.
Objective factors associated with physicians' and nurses' perceptions of intensive care unit capacity strain.

RATIONALE Time-varying demand for critical care may strain the capacities of intensive care units (ICUs) to provide optimal care. Intensivists and ICU nurses may be the best judges of the strain on their ICU. Yet, it is not clear what ICU and hospital factors contribute to this perceived sense of strain among ICU providers. OBJECTIVES To identify measureable ICU and hospital factors associated with perceived strain by intensivists and ICU nurses. METHODS During a 6-month prospective cohort study, we surveyed nurses and physicians responsible for bed management regarding the ability of a 24-bed medical ICU (MICU) to provide optimal critical care. We simultaneously assessed time-varying ICU-level factors, including patient census, number of admissions, average patient acuity, number of interhospital transfer requests, and censuses of other hospital units. To identify factors associated with strain, we used an algorithm for covariate selection in regression models that selects variables that contribute sufficiently to model prediction to justify their inclusion. MEASUREMENTS AND MAIN RESULTS Of 254 surveys, 226 (89%) were completed by 18 charge nurses and 17 physicians. On a scale of 1 to 10 (where a higher score indicated more strain), the median perceived strain score among nurses was 6 (interquartile range, 3-7) and among physicians was 5 (interquartile range, 3-7), with moderate correlation within days (interclass correlation coefficient, 0.45; 95% confidence interval: 0.30, 0.60). Average patient acuity, MICU census, number of MICU admissions, and general ward census were included in the most efficient model of strain perceived by nurses. Only MICU census was strongly associated with strain perceived by physicians. CONCLUSIONS A model containing commonly available metrics of ICU census, average patient acuity, and the proportion of new admissions has validity as a model of ICU nurses' perceived ICU capacity strain. However, only ICU census was associated with increased perceived capacity strain by physicians, highlighting the need for involvement of multiple stakeholder groups to improve our understanding of ICU capacity strain.
Modelling the Lexicon in Unsupervised Part of Speech Induction

Automatically inducing the syntactic part-of-speech categories for words in text is a fundamental task in Computational Linguistics. While the performance of unsupervised tagging models has been slowly improving, current state-of-the-art systems make the obviously incorrect assumption that all tokens of a given word type must share a single part-of-speech tag. This one-tag-per-type heuristic counters the tendency of Hidden Markov Model based taggers to over generate tags for a given word type. However, it is clearly incompatible with basic syntactic theory. In this paper we extend a state-of-the-art Pitman-Yor Hidden Markov Model tagger with an explicit model of the lexicon. In doing so we are able to incorporate a soft bias towards inducing few tags per type. We develop a particle filter for drawing samples from the posterior of our model and present empirical results that show that our model is competitive with and faster than the state-of-the-art without making any unrealistic restrictions.
Symbolic Action in the Homeric Hymns: The Theme of Recognition

The Homeric Hymns are commonly taken to be religious poems in some general sense but they are often said to contrast with cult hymns in that the latter have a definite ritual function, whereas "literary" hymns do not. This paper argues that despite the difficulty in establishing a precise occasion of performance for the Homeric Hymns, we are nevertheless in a position to identify their ritual function: by intoning a Hymn of this kind, the singer achieves the presence of a god before participants in a public festival. The key mechanism by which the hymnist does this is the evocation of a god via the elaboration of a typical unit of traditional hymnic discourse, what I call the "theme of recognition (before revelation). " The pragmatic operation of narrative such as this is similar to the device known in the study of magical texts as the historiola , or short narrative that serves as a verbal model for a desired outcome in the patient's world. This kind of operation is called, in this paper, "symbolic action," a term borrowed from the rhetorician Kenneth Burke. The theme of recognition is traced in the fabric of the expansive Hymns (II-V, VII), and the paper further argues that an important generic marker in the Hymns, the greeting of the god (χχααiiρρϵϵ), discloses their pragmatic function, the hymnist's skillful deliverance of the god before his hearers.
`You Lucky Punters!' A Study of Gambling in Betting Shops

This paper draws upon an ongoing study into gambling in the United Kingdom to examine off-course betting as a form of social life. Through such an approach it identifies several features of betting shop life that complement and refine the research literature to date: the different sub-groups within the off-course betting population; how they manage their activities in terms of their finances and their domestic and work responsibilities; the often subtle social dynamics of the betting shop. Through an analysis of these features of the punter's world, the paper investigates the rationality of the activities of loss-making punters, and shows how this differs markedly from the rationalities employed by those who win at the game - bookmakers and professional gamblers. One common concern for many punters is the dream of the `big win' for a little stake - a concern not shared by the other two groups - a dream that undermines their ability to win, and thus compounds their losses. The paper then identifies the different sub-groups involved in off-course betting, and discusses the different times at which they bet and the different strategies they use. In such a way the paper contributes to the debate through identifying groups and social processes not addressed in the literature, and shows how they refine the categories and concepts used to date.
Cognitive Characteristics of Delinquents

Based on parents' ratings, 53 male delinquents were classified as either psychopathic, neurotic, immature, or socialized-aggressive. The relationships of several cognitive characteristics derived from the Role Construct Repertory Test to membership in the above groups were investigated. Few differences between groups emerged on the variables measured. However, an analysis of group differences in perceived similarities among other people was fruitful. Implications for differential treatment were derived.
Population Estimation From Floor Area: a Restudy of "Naroll's Constant"

This paper is a cross-cultural study of dwelling floor area and population size, which uses Naroll (1962) as a starting point and guide. Naroll's research has been used extensively by archaeologists for population prediction from dwelling floor area. At the outset, Naroll's empirical results are called into question because of data inaccuracy. The restudy begins with a review of the critical literature. Questions of variable measurement that were not elaborated by Naroll are explored: What is dwelling floor area, what is a dwelling, and what is a typical measure of dwelling floor area for a culture? Three distributional models are used as guides to correlational analysis. A gourd-shaped model is preferred, but cannot be given unequivocal support. Never theless, one way to derive a worldwide population estimator from the restudy data is to use the predictor of 6 m 2/person. This predictor is supported by convergent validity from two other samples. A "basic needs" theory for dwelling floor area is advanced. Little support, however, is found for the two basic needs that have been postulated- the need to avoid the deleterious effects of crowding and the need for shelter from severe climate.
TPK1 Is a Vacuolar Ion Channel Different from the Slow-Vacuolar Cation Channel1

TPK1 (formerly KCO1) is the founding member of the family of two-pore domain K+ channels in Arabidopsis (Arabidopsis thaliana), which originally was described following expression in Sf9 insect cells as a Ca2+- and voltage-dependent outwardly rectifying plasma membrane K+ channel. In plants, this channel has been shown by green fluorescent protein fusion to localize to the vacuolar membrane, which led to speculations that the TPK1 gene product would be a component of the nonselective, Ca2+ and voltage-dependent slow-vacuolar (SV) cation channel found in many plants species. Using yeast (Saccharomyces cerevisiae) as an expression system for TPK1, we show functional expression of the channel in the vacuolar membrane. In isolated vacuoles of yeast yvc1 disruption mutants, the TPK1 gene product shows ion channel activity with some characteristics very similar to the SV-type channel. The open channel conductance of TPK1 in symmetrically 100 mm KCl is slightly asymmetric with roughly 40 pS at positive membrane voltages and 75 pS at negative voltages. Similar to the SV-type channel, TPK1 is activated by cytosolic Ca2+, requiring micromolar concentration for activation. However, in contrast to the SV-type channel, TPK1 exhibits strong selectivity for K+ over Na+, and its activity turned out to be independent of the membrane voltage over the range of ±80 mV. Our data clearly demonstrate that TPK1 is a voltage-independent, Ca2+-activated, K+-selective ion channel in the vacuolar membrane that does not mediate SV-type ionic currents.
Phylloremediation of Air Pollutants: Exploiting the Potential of Plant Leaves and Leaf-Associated Microbes

Air pollution is air contaminated by anthropogenic or naturally occurring substances in high concentrations for a prolonged time, resulting in adverse effects on human comfort and health as well as on ecosystems. Major air pollutants include particulate matters (PMs), ground-level ozone (O3), sulfur dioxide (SO2), nitrogen dioxides (NO2), and volatile organic compounds (VOCs). During the last three decades, air has become increasingly polluted in countries like China and India due to rapid economic growth accompanied by increased energy consumption. Various policies, regulations, and technologies have been brought together for remediation of air pollution, but the air still remains polluted. In this review, we direct attention to bioremediation of air pollutants by exploiting the potentials of plant leaves and leaf-associated microbes. The aerial surfaces of plants, particularly leaves, are estimated to sum up to 4 × 108 km2 on the earth and are also home for up to 1026 bacterial cells. Plant leaves are able to adsorb or absorb air pollutants, and habituated microbes on leaf surface and in leaves (endophytes) are reported to be able to biodegrade or transform pollutants into less or nontoxic molecules, but their potentials for air remediation has been largely unexplored. With advances in omics technologies, molecular mechanisms underlying plant leaves and leaf associated microbes in reduction of air pollutants will be deeply examined, which will provide theoretical bases for developing leaf-based remediation technologies or phylloremediation for mitigating pollutants in the air.
RiboAbacus: a model trained on polyribosome images predicts ribosome density and translational efficiency from mammalian transcriptomes

Fluctuations in mRNA levels only partially contribute to determine variations in mRNA availability for translation, producing the well-known poor correlation between transcriptome and proteome data. Recent advances in microscopy now enable researchers to obtain high resolution images of ribosomes on transcripts, providing precious snapshots of translation in vivo. Here we propose RiboAbacus, a mathematical model that for the first time incorporates imaging data in a predictive model of transcript-specific ribosome densities and translational efficiencies. RiboAbacus uses a mechanistic model of ribosome dynamics, enabling the quantification of the relative importance of different features (such as codon usage and the 5′ ramp effect) in determining the accuracy of predictions. The model has been optimized in the human Hek-293 cell line to fit thousands of images of human polysomes obtained by atomic force microscopy, from which we could get a reference distribution of the number of ribosomes per mRNA with unmatched resolution. After validation, we applied RiboAbacus to three case studies of known transcriptome-proteome datasets for estimating the translational efficiencies, resulting in an increased correlation with corresponding proteomes. RiboAbacus is an intuitive tool that allows an immediate estimation of crucial translation properties for entire transcriptomes, based on easily obtainable transcript expression levels.
Genome scan of hybridizing sunflowers from Texas (Helianthus annuus and H. debilis) reveals asymmetric patterns of introgression and small islands of genomic differentiation

Although the sexual transfer of genetic material between species (i.e. introgression) has been documented in many groups of plants and animals, genome‐wide patterns of introgression are poorly understood. Is most of the genome permeable to interspecific gene flow, or is introgression typically restricted to a handful of genomic regions? Here, we assess the genomic extent and direction of introgression between three sunflowers from the south‐central USA: the common sunflower, Helianthus annuus ssp. annuus; a near‐endemic to Texas, Helianthus debilis ssp. cucumerifolius; and their putative hybrid derivative, thought to have recently colonized Texas, H. annuus ssp. texanus. Analyses of variation at 88 genetically mapped microsatellite loci revealed that long‐term migration rates were high, genome‐wide and asymmetric, with higher migration rates from H. annuus texanus into the two parental taxa than vice versa. These results imply a longer history of intermittent contact between H. debilis and H. annuus than previously believed, and that H. annuus texanus may serve as a bridge for the transfer of alleles between its parental taxa. They also contradict recent theory suggesting that introgression should predominantly be in the direction of the colonizing species. As in previous studies of hybridizing sunflower species, regions of genetic differentiation appear small, whether estimated in terms of FST or unidirectional migration rates. Estimates of recent immigration and admixture were inconsistent, depending on the type of analysis. At the individual locus level, one marker showed striking asymmetry in migration rates, a pattern consistent with tight linkage to a Bateson–Dobzhansky–Muller incompatibility.
The Role of Ongoing Dendritic Oscillations in Single-Neuron Dynamics

The dendritic tree contributes significantly to the elementary computations a neuron performs while converting its synaptic inputs into action potential output. Traditionally, these computations have been characterized as both temporally and spatially localized. Under this localist account, neurons compute near-instantaneous mappings from their current input to their current output, brought about by somatic summation of dendritic contributions that are generated in functionally segregated compartments. However, recent evidence about the presence of oscillations in dendrites suggests a qualitatively different mode of operation: the instantaneous phase of such oscillations can depend on a long history of inputs, and under appropriate conditions, even dendritic oscillators that are remote may interact through synchronization. Here, we develop a mathematical framework to analyze the interactions of local dendritic oscillations and the way these interactions influence single cell computations. Combining weakly coupled oscillator methods with cable theoretic arguments, we derive phase-locking states for multiple oscillating dendritic compartments. We characterize how the phase-locking properties depend on key parameters of the oscillating dendrite: the electrotonic properties of the (active) dendritic segment, and the intrinsic properties of the dendritic oscillators. As a direct consequence, we show how input to the dendrites can modulate phase-locking behavior and hence global dendritic coherence. In turn, dendritic coherence is able to gate the integration and propagation of synaptic signals to the soma, ultimately leading to an effective control of somatic spike generation. Our results suggest that dendritic oscillations enable the dendritic tree to operate on more global temporal and spatial scales than previously thought; notably that local dendritic activity may be a mechanism for generating on-going whole-cell voltage oscillations.
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks

Convolutional neural networks (CNNs) have proven highly effective at image synthesis and style transfer. For most users, however, using them as tools can be a challenging task due to their unpredictable behavior that goes against common intuitions. This paper introduces a novel concept to augment such generative architectures with semantic annotations, either by manually authoring pixel labels or using existing solutions for semantic segmentation. The result is a content-aware generative algorithm that offers meaningful control over the outcome. Thus, we increase the quality of images generated by avoiding common glitches, make the results look significantly more plausible, and extend the functional range of these algorithms---whether for portraits or landscapes, etc. Applications include semantic style transfer and turning doodles with few colors into masterful paintings!