Miracle-dz/UniFAR-FTUs huggingface dataset:
Intergenerational Mobility in the United States: What We Have Learned from the PSID

This article reviews the contributions of the Panel Study of Income Dynamics (PSID) to the study of intergenerational mobility. The PSID enables researchers to track individuals as they form new households and covers many dimensions of socioeconomic status over large portions of the life cycle, making the data ideal for studying intergenerational mobility. Studies have used PSID data to show that the United States is among the least economically mobile countries among advanced economies. The PSID has been instrumental to understanding various dimensions of intergenerational mobility, including occupation; wealth; education; consumption; health; and group differences by gender, race, and region. Studies using the PSID have also cast light on the mechanisms behind intergenerational persistence.
Clustering with Spiking

We present a novel neural method for data clustering using temporal segmentation of spiking neurons. Our clustering algorithm relies only on distances between data points. Each point is associated with a neuron, and the distances are used to determine the synaptic weights between those neurons. The dynamical development of this system leads to synchronous ring of neurons that belong to the same cluster, while diierent clusters re at diierent times. Such dynamic behavior is called temporal segmenta-tion. It is achieved via two mechanisms-intra cluster synchrony, induced by excitatory connections within each cluster, and desynchronization between clusters induced by inhibitory competition. We test our clustering method on the iris data set. For problems that do not have a unique clustering solution, we construct a pair-correlation matrix on the basis of multiple clustering solutions. By performing a second clustering algorithm, this time on the pair-correlation matrix, we are able to deene second order clusters of the original distance matrix. This method is demonstrated on a biological data set.
Functional morphology of feeding in the scale-eating specialist Catoprion mento

SUMMARY The wimple piranha, Catoprion mento, has a narrow-range natural diet with fish scales comprising an important proportion of its total food intake. Scales are eaten throughout most of ontogeny and adults feed almost exclusively on this food source. Catoprion exhibits a novel prey capture behavior when removing scales for ingestion. Scale feeding strikes involve a high-speed, open-mouth, ramming attack where the prey is bitten to remove scales and the force of the collision knocks scales free. Unique kinematic parameters of scale-feeding strikes include a mean gape angle of nearly 120° and a `plateau' stage of prolonged maximum displacement for cranial elevation and opercular expansion. When feeding on live fish or loose scales, Catoprion performs a typical ram/suction attack that is modulated according to the elusiveness of the prey. Captures of elusive fish elicit faster strikes with greater displacement of cranial elements than do attacks on loose scales sinking in the water column. Despite its specialized diet and suite of anatomical characters, functional versatility in feeding behavior has not been reduced in Catoprion, as predicted by many analogous studies in functional morphology. On the contrary, the behavioral repertoire of Catoprion has been broadened by the addition of a novel behavior for scale feeding.
Statistical approach to measure the efficacy of anthelmintic treatment on horse farms

SUMMARY Resistance to anthelmintics in gastrointestinal nematodes of livestock is a serious problem and appropriate methods are required to identify and quantify resistance. However, quantification and assessment of resistance depend on an accurate measure of treatment efficacy, and current methodologies fail to properly address the issue. The fecal egg count reduction test (FECRT) is the practical gold standard for measuring anthelmintic efficacy on farms, but these types of data are fraught with high variability that greatly impacts the accuracy of inference on efficacy. This paper develops a statistical model to measure, assess, and evaluate the efficacy of the anthelmintic treatment on horse farms as determined by FECRT. Novel robust bootstrap methods are developed to analyse the data and are compared to other suggested methods in the literature in terms of Type I error and power. The results demonstrate that the bootstrap methods have an optimal Type I error rate and high power to detect differences between the presumed and true efficacy without the need to know the true distribution of pre-treatment egg counts. Finally, data from multiple farms are studied and statistical models developed that take into account between-farm variability. Our analysis establishes that if inter-farm variability is not taken into account, misleading conclusions about resistance can be made.
A simple model to interpret the ultraviolet, optical and infrared emission from galaxies

We present a simple, largely empirical but physically motivated model to interpret the mid- and far-infrared spectral energy distributions of galaxies consistently with the emission at ultraviolet, optical and near-infrared wavelengths. Our model relies on an existing angle-averaged prescription to compute the absorption of starlight by dust in stellar birth clouds and in the ambient interstellar medium (ISM) in galaxies. We compute the spectral energy distribution of the power reradiated by dust in stellar birth clouds as the sum of three components: a component of polycyclic aromatic hydrocarbons (PAHs); a mid-infrared continuum characterising the emission from hot grains at temperatures in the range 130–250 K; and a component of grains in thermal equilibrium with adjustable temperature in the range 30–60 K. In the ambient ISM, we fix for simplicity the relative proportions of these three components to reproduce the spectral shape of diffuse cirrus emission in the Milky Way, and we include a component of cold grains in thermal equilibrium with adjustable temperature in the range 15–25 K. Our model is both simple and versatile enough that it can be used to derive statistical constraints on the star formation histories and dust contents of large samples of galaxies using a wide range of ultraviolet, optical and infrared observations. We illustrate this by deriving median-likelihood estimates of the star formation rates, stellar masses, effective dust optical depths, dust masses, and relative strengths of different dust components of 66 well-studied nearby star-forming galaxies from the Spitzer Infrared Nearby Galaxy Survey (SINGS). We explore how the constraints derived in this way depend on the available spectral information. From our analysis of the SINGS sample, we conclude that the mid- and far-infrared colours of galaxies correlate strongly with the specific star formation rate, as well as with other galaxywide quantities connected to this parameter, such as the ratio of infrared luminosity between stellar birth clouds and the ambient ISM, the contributions by PAHs and grains in thermal equilibrium to the total infrared emission, and the ratio of dust mass to stellar mass. Our model can be straightforwardly applied to interpret ultraviolet, optical and infrared spectral energy distributions from any galaxy sample.
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but also to track the trajectory of the changing optima over dynamic environments. To address this requirement, this paper investigates a clustering particle swarm optimizer (PSO) for dynamic optimization problems. This algorithm employs a hierarchical clustering method to locate and track multiple peaks. A fast local search method is also introduced to search optimal solutions in a promising subregion found by the clustering method. Experimental study is conducted based on the moving peaks benchmark to test the performance of the clustering PSO in comparison with several state-of-the-art algorithms from the literature. The experimental results show the efficiency of the clustering PSO for locating and tracking multiple optima in dynamic environments in comparison with other particle swarm optimization models based on the multiswarm method.
Witnessing intimate partner violence and child maltreatment in Ugandan children: a cross-sectional survey

Objectives Existing evidence, mainly from high-income countries, shows children who witness intimate partner violence (IPV) at home are more likely to experience other forms of violence, but very little evidence is available from lower income countries. In this paper we aim to explore whether Ugandan children who witness IPV at home are also more likely to experience other forms of maltreatment, factors associated with witnessing and experiencing violence, and whether any increased risk comes from parents, or others outside the home. Design A representative cross-sectional survey of primary schools. Participants 3427 non-boarding primary school students, aged about 11–14 years. Setting Luwero District, Uganda, 2012. Measures Exposure to child maltreatment was measured using the International Society for the Prevention of Child Abuse and Neglect Child Abuse Screening Tool-Child Institutional, and 2 questions measured witnessing IPV. Results 26% of children reported witnessing IPV, but nearly all of these children had also experienced violence themselves. Only 0.6% of boys and 1.6% of girls had witnessed partner violence and not experienced violence. Increased risk of violence was from parents and also from other perpetrators besides parents. Both girls and boys who witnessed and experienced violence had between 1.66 (95% CI 0.96 to 2.87) and 4.50 (95% CI 1.78 to 11.33) times the odds of reporting mental health difficulties, and 3.23 (95% CI 1.99 to 5.24) and 8.12 (95% CI 5.15 to 12.80) times the odds of using physical or sexual violence themselves. Conclusions In this sample, witnessing IPV almost never occurred in isolation—almost all children who witnessed partner violence also experienced violence themselves. Our results imply that children in Uganda who are exposed to multiple forms of violence may benefit from intervention to mitigate mental health consequences and reduce use of violence. IPV prevention interventions should be considered to reduce child maltreatment. Large numbers of children also experience maltreatment in homes with no partner violence, highlighting the need for interventions to prevent child maltreatment more broadly. Trial registration number NCT01678846, results.
Social Capital and the Growth of the Nonprofit Sector

This article examines the extent to which nonprofit organizational foundings are determined by various forms of social capital. Our hypothesis is that, controlling for other relevant social, political, and economic factors, communities with higher levels of social capital should experience more extensive growth in their nonprofit sectors. Copyright (c) 2005 by the Southwestern Social Science Association.
Identification of a signature motif in target mRNAs of RNA-binding protein AUF1

The ubiquitous RNA-binding protein AUF1 promotes the degradation of some target mRNAs, but increases the stability and translation of other targets. Here, we isolated AUF1-associated mRNAs by immunoprecipitation of (AUF1–RNA) ribonucleoprotein (RNP) complexes from HeLa cells, identified them using microarrays, and used them to elucidate a signature motif shared among AUF1 target transcripts. The predicted AUF1 motif (29–39 nucleotides) contained 79% As and Us, consistent with the AU-rich sequences of reported AUF1 targets. Importantly, 10 out of 15 previously reported AUF1 target mRNAs contained the AUF1 motif. The predicted interactions between AUF1 and target mRNAs were recapitulated in vitro using biotinylated RNAs. Interestingly, further validation of predicted AUF1 target transcripts revealed that AUF1 associates with both the pre-mRNA and the mature mRNA forms. The consequences of AUF1 binding to 10 predicted target mRNAs were tested by silencing AUF1, which elevated the steady-state levels of only four mRNAs, and by overexpressing AUF1, which also lowered the levels of only four mRNAs. In total, we have identified a signature motif in AUF1 target mRNAs, have found that AUF1 also associates with the corresponding pre-mRNAs, and have discovered that altering AUF1 levels alone only modifies the levels of subsets of target mRNAs.
Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis

Learning preferences is a useful tool in application fields like information retrieval, or system configuration. In this paper we show a new application of this Machine Learning tool, the analysis of sensory data provided by consumer panels. These data sets collect the ratings given by a set of consumers to the quality or the acceptability of market products that are principally appreciated through sensory impressions. The aim is to improve the production processes of food industries. We show how these data sets can not be processed in a useful way by regression methods, since these methods can not deal with some subtleties implicit in the available knowledge. Using a collection of real world data sets, we illustrate the benefits of our approach, showing that it is possible to obtain useful models to explain the behavior of consumers where regression methods only predict a constant reaction in all consumers, what is unacceptable.
Acyclic Argumentation: Attack = Conflict + Preference

In this paper we study the fragment of Dung's argumentation theory in which the strict attack relation is acyclic. We show that every attack relation satisfying a particular property can be represented by a symmetric conflict relation and a transitive preference relation in the following way. We define an instance of Dung's abstract argumentation theory, in which 'argument A attacks argument B' is defined as 'argument A conflicts with argument B' and 'argument A is at least as preferred as argument B', where the conflict relation is symmetric and the preference relation is transitive. We show that this new preference-based argumentation theory characterizes the acyclic strict attack relation, in the sense that every attack relation defined as such a combination satisfies the property, and for every attack relation satisfying the property we can find a symmetric conflict relation and a transitive preference relation satisfying the equation.
Lys-315 at the Interfaces of Diagonal Subunits of δ-Crystallin Plays a Critical Role in the Reversibility of Folding and Subunit Assembly

δ-Crystallin is the major structural protein in avian eye lenses and is homologous to the urea cycle enzyme argininosuccinate lyase. This protein is structurally assembled as double dimers. Lys-315 is the only residue which is arranged symmetrically at the diagonal subunit interfaces to interact with each other. This study found that wild-type protein had both dimers and monomers present in 2–4 M urea whilst only monomers of the K315A mutant were observed under the same conditions, as judged by sedimentation velocity analysis. The assembly of monomeric K315A mutant was reversible in contrast to wild-type protein. Molecular dynamics simulations showed that the dissociation of primary dimers is prior to the diagonal dimers in wild-type protein. These results suggest the critical role of Lys-315 in stabilization of the diagonal dimer structure. Guanidinium hydrochloride (GdmCl) denatured wild-type or K315A mutant protein did not fold into functional protein. However, the urea dissociated monomers of K315A mutant protein in GdmCl were reversible folding through a multiple steps mechanism as measured by tryptophan and ANS fluorescence. Two partly unfolded intermediates were detected in the pathway. Refolding of the intermediates resulted in a conformation with greater amounts of hydrophobic regions exposed which was prone to the formation of protein aggregates. The formation of aggregates was not prevented by the addition of α-crystallin. These results highlight that the conformational status of the monomers is critical for determining whether reversible oligomerization or aggregate formation occurs.
The effect of dislike of school on risk of teenage pregnancy: testing of hypotheses using longitudinal data from a randomised trial of sex education

Study objective: To examine whether attitude to school is associated with subsequent risk of teenage pregnancy. To test two hypotheses that attitude to school is linked to pregnancy via pathways involving young people having “alternative” expectations or deficits in sexual health knowledge and confidence. Design: Analysis of longitudinal data arising from a trial of sex education. Examination of associations between attitude to school and protected first sex, unprotected first sex, unprotected and protected last sex, and pregnancy, both crude and adjusting in turn for expectation of parenting by age 20, lack of expectation of education/training at age 20, and sexual health knowledge and confidence. Setting: Schools in central and southern England. Participants: Girls of median age 13.7 years at baseline, 14.7 years at follow up 1, and 16.0 years at follow up 2. Main results: In unadjusted analysis, attitude to school was significantly associated with protected and unprotected first sex by follow up 1, protected first sex between follow up 1 and 2, unprotected last sex, and pregnancy. Dislike of school was more strongly associated with increased risk of these outcomes than was ambivalence to school. These associations remained after adjusting for socioeconomic status and for expectation of parenting, lack of expectation of education/training, and various indicators of knowledge and confidence about sexual health. Conclusions: Dislike of school is associated with subsequent increased risk of teenage pregnancy but the mechanism underlying any possible causal link is unlikely to involve “alternative” expectations or deficits in sexual health knowledge or confidence.
Phase I/II investigation of paclitaxel, ifosfamide and carboplatin for advanced non-small-cell lung cancer.

BACKGROUND The aim of this study was to evaluate feasibility and tolerability of the three-drug combination of paclitaxel, ifosfamide and carboplatin (TIC) in patients with advanced non-small-cell lung cancer. The specific objectives of the study were: (i) to define the dose-limiting toxicities (DLTs) and the maximum-tolerated dose of ifosfamide administered as part of the combination; and (ii) to determine the overall response rate and overall survival of patients treated with this regimen. PATIENTS AND METHODS Patients with untreated, stage IIIB (pleural effusion) or stage IV non-small-cell lung cancer were enrolled in one of three cohorts. Patients received paclitaxel 200 mg/m(2) as a 1-h infusion on day 1 with carboplatin at an area under the concentration-time curve (AUC) of 6 mg.min/ml on day 2. For dose level I, ifosfamide was administered at a dose of 2 g/m(2) on days 1 and 2. For dose levels II and III, the dose of ifosfamide was decreased to 1.5 g/m(2) on days 1 and 2 and the dose of carboplatin was decreased to AUC 5 mg.ml/min. Therapy for dose levels I and III included filgrastim support (5 micro g/kg/day), which was initiated on day 3 and continued until after day 11 or until an absolute neutrophil count >10 000/ micro l. Treatment cycles were repeated every 21 days. Once the phase II dose was established, a full cohort of patients received therapy at this dose level to examine further the regimen's activity and tolerability. RESULTS Neutropenia was the DLT encountered for dose levels I and II. No DLT was encountered in the initial six patients treated at dose level III, and therefore this dose level was declared the recommended phase II dose. A total of 49 patients were treated at the recommended phase II dose. The predominant non-hematological toxicity encountered with this triplet regimen was cumulative peripheral neuropathy. Of the 65 eligible patients enrolled in this study, 17 (26%) responded. There were 15 patients with partial responses (23%), two with regression, and 26 with stabilization of disease (40%). Median progression-free and overall survival were 4.8 and 9.4 months, respectively. CONCLUSIONS The combination TIC is well-tolerated. This triplet regimen produced response and survival rates in advanced non-small-cell lung cancer similar to those of other current combination chemotherapy regimens.
An Ionizing Ultraviolet Background Dominated by Massive Stars

We discuss the implications of a stellar-dominated UV background at high redshifts for the star formation history of Lyman break galaxies (LBGs) and the thermal and ionization state of the intergalactic medium (IGM). The composite spectrum of 29 LBGs evaluated by Steidel et al. at ⟨z⟩ = 3.4 can be well fitted by a stellar population with ongoing star formation, a Salpeter initial mass function, modest or negligible dust reddening, and no intrinsic H I photoelectric absorption. Fading starbursts in which star formation has ceased for 107 yr or more cannot reproduce the observed flux shortward of 1 ryd. The small H I optical depth in LBGs suggests that the neutral gas from which stars form is most likely contained in compact clouds of neutral gas with small covering factor. The escape fraction of H-ionizing photons must be close to 100% for the observed sample of LBGs. The spectrum of ionizing photons produced by a stellar population with ongoing star formation is similar to that of QSOs between 1 and 3 ryd but becomes softer between 3 and 4 ryd and drops sharply shortward of 4 ryd. A galaxy-dominated UV background appears inconsistent with the observed He II/H I opacity ratio at z = 2.4 but might be able to explain the Si IV/C IV abundances measured at z > 3 in QSO absorption spectra. A scenario may be emerging where star-forming galaxies reionize intergalactic hydrogen at z > 6 and dominate the 1 ryd metagalactic flux at z > 3, with quasi-stellar sources taking over at lower redshifts. If the large amplitude of the H-ionizing flux estimated by Steidel et al. is correct, hydrodynamical simulations of structure formation in the IGM within the cold dark matter paradigm require a baryon density (to explain the observed opacity of the Lyα forest in QSO absorption spectra) that is similar to or larger than that favored by recent cosmic microwave background experiments and is inconsistent with standard nucleosynthesis values.
“We’re Here to Learn to Speak French”: An Exploration of World Language Teachers’ Beliefs About Students and Teaching

The purpose of this qualitative study was to explore five world language teachers’ beliefs about their students, their attributions about student enrollment, and their reported teaching practices. Findings represent a continuum of critical practice in that three teachers appeared to espouse deficit thinking and stereotypes about students of color, and color-evasiveness or colorblindness as an approach to teaching. Two teachers appeared to espouse beliefs that may be more representative of inclusive classrooms, and these teachers reported advocacy work for certain student groups and efforts to develop students’ critical consciousness in their classrooms. Findings are contextualized via critical lenses, and implications for language teacher education and policy are discussed.