990 research outputs found

    Teachers of Substance: Subject Matter Knowledge for Teaching

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    In this paper they are put forward, in the first place, a overview of the reasons why, in the american context, teacher education must share the responsability for the transmission of subject matter knowledge to prospective teachers. They move to a discussion of the research that has been done in this area, getting into focus in your research program about “Growth of Knowledge in Teaching”. Finally, they explore four prominent dimensions of the knowledge for the teaching: subject matter knowledge, substantive knowledge, syntactic knowledge, and beliefs about subject matter

    Profesores de Sustancia: El conocimiento de la materia para la enseñanza

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    En este trabajo se aducen, en primer lugar, un conjunto de razones por las que, en el contexto norteamericano, es relevante el conocimiento de la materia en la formación del profesorado. Después se hace una revisión crítica de la investigación que se ha hecho en este área, centrándose en su propio programa de investigación sobre “Desarrollo del conocimiento en una profesión”. Finalmente, se definen y exploran cuatro dimensiones sobresalientes del conocimiento de la materia para la enseñanza: conocimiento del contenido, conocimiento sustantivo, conocimiento sintáctico y creencias acerca de la materia

    Teachers of Substance: Subject Matter Knowledge for Teaching

    Get PDF
    En este trabajo se aducen, en primer lugar, un conjunto de razones por las que, en el contexto norteamericano, es relevante el conocimiento de la materia en la formación del profesorado. Después se hace una revisión crítica de la investigación que se ha hecho en este área, centrándose en su propio programa de investigación sobre “Desarrollo del conocimiento en una profesión”. Finalmente, se definen y exploran cuatro dimensiones sobresalientes del conocimiento de la materia para la enseñanza: conocimiento del contenido, conocimiento sustantivo, conocimiento sintáctico y creencias acerca de la materia.In this paper they are put forward, in the first place, a overview of the reasons why, in the american context, teacher education must share the responsability for the transmission of subject matter knowledge to prospective teachers. They move to a discussion of the research that has been done in this area, getting into focus in your research program about “Growth of Knowledge in Teaching”. Finally, they explore four prominent dimensions of the knowledge for the teaching: subject matter knowledge, substantive knowledge, syntactic knowledge, and beliefs about subject matter.Grupo de Investigación FORCE (Formación Centrada en la Escuela). Universidad de Granad

    Coherent State path-integral simulation of many particle systems

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    The coherent state path integral formulation of certain many particle systems allows for their non perturbative study by the techniques of lattice field theory. In this paper we exploit this strategy by simulating the explicit example of the diffusion controlled reaction A+A0A+A\to 0. Our results are consistent with some renormalization group-based predictions thus clarifying the continuum limit of the action of the problem.Comment: 20 pages, 4 figures. Minor corrections. Acknowledgement and reference correcte

    Results of a Second Year of Therapy with the 12-Month Histrelin Implant for the Treatment of Central Precocious Puberty

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    Background. Gonadotropin releasing hormone analogs (GnRHas) are standard of care for central precocious puberty (CPP). The histrelin subcutaneous implant is safe and effective in the treatment of CPP for one year. Objective. The study evaluates a second year of therapy in children with CPP who received a new implant after one year of treatment. Methods. A prospective one-year study following an initial 12-month treatment period was conducted. Results. Thirty-one patients (29 girls) aged 7.7 ± 1.5 years received a second implant. Eighteen were naïve to GnRHa therapy at first implantation. Peak LH declined from 0.92 ± 0.58 mIU/mL at 12 months to 0.51 ± 0.33 mIU/mL at 24 months (P < .0001) in naïve subjects, and from 0.74 ± 0.50 mIU/mL at 12 months to 0.45 ± 0.35 mIU/mL at 24 months (P = .0081) in previously treated subjects. Predicted adult height increased by 5.1 cm at 24 months (P = .0001). Minor implant site reactions occurred in 61%, while minor difficulties with explantation occurred in 32.2% of subjects. Conclusion. The histrelin implant demonstrates profound hypothalamic-pituitary-gonadal axis suppression when a new implant is placed for a second year of treatment. Prospective follow-up of this therapeutic modality for the treatment of CPP is needed

    Abnormal white matter blood-oxygen-level-dependent signals in chronic mild traumatic brain injury

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    Concussion, or mild traumatic brain injury (mTBI), can cause persistent behavioral symptoms and cognitive impairment, but it is unclear if this condition is associated with detectable structural or functional brain changes. At two sites, chronic mTBI human subjects with persistent post-concussive symptoms (three months to five years after injury) and age- and education-matched healthy human control subjects underwent extensive neuropsychological and visual tracking eye movement tests. At one site, patients and controls also performed the visual tracking tasks while blood-oxygen-level-dependent (BOLD) signals were measured with functional magnetic resonance imaging. Although neither neuropsychological nor visual tracking measures distinguished patients from controls at the level of individual subjects, abnormal BOLD signals were reliably detected in patients. The most consistent changes were localized in white matter regions: anterior internal capsule and superior longitudinal fasciculus. In contrast, BOLD signals were normal in cortical regions, such as the frontal eye field and intraparietal sulcus, that mediate oculomotor and attention functions necessary for visual tracking. The abnormal BOLD signals accurately differentiated chronic mTBI patients from healthy controls at the single-subject level, although they did not correlate with symptoms or neuropsychological performance. We conclude that subjects with persistent post-concussive symptoms can be identified years after their TBI using fMRI and an eye movement task despite showing normal structural MRI and DTI

    Shot Noise at High Temperatures

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    We consider the possibility of measuring non-equilibrium properties of the current correlation functions at high temperatures (and small bias). Through the example of the third cumulant of the current (S3{\cal{S}}_3) we demonstrate that odd order correlation functions represent non-equilibrium physics even at small external bias and high temperatures. We calculate S3=y(eV/T)e2I{\cal{S}}_3=y(eV/T) e^2 I for a quasi-one-dimensional diffusive constriction. We calculate the scaling function yy in two regimes: when the scattering processes are purely elastic and when the inelastic electron-electron scattering is strong. In both cases we find that yy interpolates between two constants. In the low (high) temperature limit yy is strongly (weakly) enhanced (suppressed) by the electron-electron scattering.Comment: 11 pages 4 fig. submitted to Phys. Rev.

    FLORA: a novel method to predict protein function from structure in diverse superfamilies

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    Predicting protein function from structure remains an active area of interest, particularly for the structural genomics initiatives where a substantial number of structures are initially solved with little or no functional characterisation. Although global structure comparison methods can be used to transfer functional annotations, the relationship between fold and function is complex, particularly in functionally diverse superfamilies that have evolved through different secondary structure embellishments to a common structural core. The majority of prediction algorithms employ local templates built on known or predicted functional residues. Here, we present a novel method (FLORA) that automatically generates structural motifs associated with different functional sub-families (FSGs) within functionally diverse domain superfamilies. Templates are created purely on the basis of their specificity for a given FSG, and the method makes no prior prediction of functional sites, nor assumes specific physico-chemical properties of residues. FLORA is able to accurately discriminate between homologous domains with different functions and substantially outperforms (a 2–3 fold increase in coverage at low error rates) popular structure comparison methods and a leading function prediction method. We benchmark FLORA on a large data set of enzyme superfamilies from all three major protein classes (α, β, αβ) and demonstrate the functional relevance of the motifs it identifies. We also provide novel predictions of enzymatic activity for a large number of structures solved by the Protein Structure Initiative. Overall, we show that FLORA is able to effectively detect functionally similar protein domain structures by purely using patterns of structural conservation of all residues
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