341 research outputs found

    On the role of segmental contrasts in the acquisition of clusters

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    The acquisition of an underlying contrast between /l/ and /r/ has been claimed to be a necessary prerequisite to the acquisition of clusters (Archibald 1998). To evaluate this claim, an archival database including more than a hundred children with phonological delays, ages 3;0 to 8;6, was consulted. A number of apparent counterexamples were identified. All problematic cases reliably produced consonant + /l/ clusters but lacked an underlying contrast between /l/ and /r/. In an effort to reconcile these (apparent) counterexamples with the many compliant cases, these data were further reanalyzed within optimality theory (McCarthy and Prince 1995). The analyses revealed that the apparent clusters were more properly understood as complex segments similar to affricates. Thus, while such cases do not contradict Archibald's proposal, they do provide a richer account of the development of clusters. The paper concludes with a discussion of the implications of OT accounts for the learnability of structure and for clinical treatment.National Institutes of Health DC00433, RR7031K, DC00076, DC001694 (PI: Gierut

    Disability Studies Pedagogy: Engaging Dissonance and Meaning Making

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    Student responses to disability studies pedagogy are influenced by the context in which they learn. This study examined student responses in two disability studies initiatives: one within a teacher preparation program that included American Indian students, the other within a stand alone, interdisciplinary course taken primarily by Americans of European descent. Course dialogue and students' written assignments were used to identify and categorize their responses. While some students readily engaged in critique of disability as culturally constructed, experiences of significant resistance related to positivist filters, adherence to individualism, and defense of identity-related norms. These responses are discussed as considerations for more effective pedagogy in this relatively new field

    A play ground: Supporting interactions of children with autism through music therapy groups in a special education classroom

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    Children with autism face significant obstacles to social interaction and learning. This qualitative, exploratory study of student music therapy practice in a special education Unit, focused on supporting interactions of children with autism through music therapy groups integrated into the school programme. Clinical work took place over ten months, and the research employed secondary analysis of three data sources: clinical records, notes from supervision and staff meetings, and a reflective research journal. Two complementary forms of music therapy groups, on the same day and with the same children, were developed: an established morning structured music therapy group, and at the end of the day, a free form music therapy group more like a typical playground. Findings suggest that the work of adults to engage the children, music play which attended to sensory sensitivities, promoting calm, giving new experiences and giving structured interaction opportunities contributed to an increase in the children’s interactive behaviors in music therapy groups. When adults provided a free play community experience, the children showed an increase in initiating interactions and more expressive communications. Eliciting emotional responsivity and giving patterned interactive experiences, through both improvisation and familiar music, seemed to build bridges with the children’s communications and support motivation to interact

    Almost perfect nonlinear power functions with exponents expressed as fractions

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    Let FF be a finite field, let ff be a function from FF to FF, and let aa be a nonzero element of FF. The discrete derivative of ff in direction aa is Δaf ⁣:F→F\Delta_a f \colon F \to F with (Δaf)(x)=f(x+a)−f(x)(\Delta_a f)(x)=f(x+a)-f(x). The differential spectrum of ff is the multiset of cardinalities of all the fibers of all the derivatives Δaf\Delta_a f as aa runs through F∗F^*. The function ff is almost perfect nonlinear (APN) if the largest cardinality in the differential spectrum is 22. Almost perfect nonlinear functions are of interest as cryptographic primitives. If dd is a positive integer, the power function over FF with exponent dd is the function f ⁣:F→Ff \colon F \to F with f(x)=xdf(x)=x^d for every x∈Fx \in F. There is a small number of known infinite families of APN power functions. In this paper, we re-express the exponents for one such family in a more convenient form. This enables us to give the differential spectrum and, even more, to determine the sizes of individual fibers of derivatives.Comment: 30 page

    Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts

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    Methods that are resilient to artifacts in the cardiac magnetic resonance imaging (MRI) while performing ventricle segmentation, are crucial for ensuring quality in structural and functional analysis of those tissues. While there has been significant efforts on improving the quality of the algorithms, few works have tackled the harm that the artifacts generate in the predictions. In this work, we study fine tuning of pretrained networks to improve the resilience of previous methods to these artifacts. In our proposed method, we adopted the extensive usage of data augmentations that mimic those artifacts. The results significantly improved the baseline segmentations (up to 0.06 Dice score, and 4mm Hausdorff distance improvement).Comment: accepted for the STACOM2022 workshop @ MICCAI202

    Using atmospheric trajectories to model the isotopic composition of rainfall in central Kenya

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    Publisher’s version made available under a Creative Commons license.The isotopic composition of rainfall (δ2H and δ18O) is an important tracer in studies of the ecohydrology, plant physiology, climate and biogeochemistry of past and present ecosystems. The overall continental and global patterns in precipitation isotopic composition are fairly well described by condensation temperature and Rayleigh fractionation during rainout. However, these processes do not fully explain the isotopic variability in the tropics, where intra-storm and meso-scale dynamics may dominate. Here we explore the use of atmospheric back-trajectory modeling and associated meteorological variables to explain the large variability observed in the isotopic composition of individual rain events at the study site in central Kenya. Individual rain event samples collected at the study site (n = 41) range from −51‰ to 31‰ for δ2H and the corresponding monthly values (rain volume-weighted) range from −15‰ to 15‰. Using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model, we map back-trajectories for all individual rain hours occurring at a research station in central Kenya from March 2010 through February 2012 (n = 544). A multiple linear regression analysis demonstrates that a large amount of variation in the isotopic composition of rainfall can be explained by two variables readily obtained from the HYSPLIT model: (1) solar radiation along the trajectory for 48 hours prior to the event, and (2) distance covered over land. We compare the measurements and regression model results to the isotopic composition expected from simple Rayleigh distillation along each trajectory. The empirical relationship described here has applications across temporal scales. For example, it could be used to help predict short-term changes in the isotopic composition of plant-available water in the absence of event-scale sampling. One can also reconstruct monthly, seasonal and annual weighted mean precipitation isotope signatures for a single location based only on hourly rainfall data and HYSPLIT model results. At the study site in East Africa, the annual weighted mean δ2H from measured and modeled values are −7.6‰ and −7.4‰, respectively, compared to −18‰ predicted for the study site by the Online Isotopes in Precipitation Calculator
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