613 research outputs found
Letramento multimodal e ensino de línguas: a linguística aplicada e suas epistemologias na cultura das mídias
Este texto se propõe a discutir as noções de modo e de letramento multimodal e sua relevância para o campo de ensino de línguas estrangeiras inserido na cultura das mídias, dado ao fato de que aprendizes, no ensino fundamental, médio, superior e em cursos de idiomas, têm acesso constante a tecnologias digitais móveis para o seus processos de aprendizagem e, por essa razão, estão em contínuo contato com multimodalidades propiciadas pelas novas tecnologias. Interessa-nos, sobremaneira, a discussão sobre os aspectos epistemológicos no campo da Linguística Aplicada e ensino de línguas estrangeiras e o papel que a multimodalidade e o letramento multimodal exercem nessas práticas, essenciais ao ensino e à aprendizagem das tais línguas e à formação de professores de que irão ministrá-las1436216232This text aims to discuss the notions of mode and multimodal literacy and their relevance to the fi eld of language teaching within media culture, given the fact that learners in elementary, secondary, higher education and language courses are frequently accessing mobile digital technologies for their learning processes and, for that reason, they are also in contact with multimodalities a orded by these
technologies. We are particularly interested in approaching the epistemological aspects in the fi eld of Applied Linguistics and foreign language teaching and the role that multimodality and multimodal literacy play in these practices, which are essential to foreign language learning and teaching and foreign language teacher educatio
Phytoplankton productivity in the Barra de Navidad coastal lagoon on the Pacific coast of Mexico
La production du phytoplancton a été mesurée dans la lagune Barra de Navidad, Jalisco, Mexique, d'octobre 1983 à septembre 1984. La production nette au cours de la journée était de 772 g O2m-2an-1 et la production brute 1036 gO2m-2an-1. Dans le temps, la productivité a varié en fonction de variations saisonnières bien marquées de la transparence, de la température, de la salinité et des apports par les rivières. Les plus fortes productivités ont été observées en saison des pluies (juin à octobre). Dans l'espace, les plus fortes valeurs ont eu lieu dans la zone centrale, avec une diminution vers l'embouchure de la rivière et la communication avec l'océan. D'une façon générale, les productivités élevées résultent de concentrations en nutriments et de transparence plus favorables dans la zone centrale. La productivité diminue avec la diminution des apports continentaux durant la saison sèche, mais également avec la forte turbidité liée à la crue de la rivière. (Résumé d'auteur
Spin-glass behavior in a three-dimensional antiferromagnet ordered phase: Magnetic structure of Co-2(OH)(PO4)
Co-2(OH)(PO4) has been prepared from hydrothermal synthesis and characterized from powder x-ray diffraction. The nuclear and magnetic structures have been determined by neutron (D2B and D1B) diffraction data. The structure consists of a three-dimensional framework in which Co(1)O-5-trigonal bipyramid dimers and Co(2)O-6-octahedra chains are simultaneously present. The EPR spectrum of Zn-2(OH)(PO4):0.1%Co at 4.2 K shows a strong anisotropy of the g factor. The values obtained for the g tensor and the hyperfine coupling constants for the octahedral symmetry were g(1)=5.890, g(2)=4.550, and g(3)=2.021 and A(1)=240x10(-4) cm(-1), A(2)=155x10(-4) cm(-1), and A(3)=85x10(-4) cm(-1). Signals corresponding to the five-coordinated Co(II) ions were also observed. Magnetization measurements show the presence of two maxima at circa 75 and 15 K, respectively. The first peak was attributed to a three-dimensional antiferromagnetic ordering and the second one reveals the existence of a spin-glass-like state. This state with a cooperative freezing was also confirmed by both ac susceptibility measurements and magnetic irreversibility observed in the zero-field-cooled-field-cooled signals. From low-temperature neutron-diffraction data, antiferromagnetic ordering is established with an ordering temperature of 71 K. The propagation vector of the magnetic structure is k=[0,0,0]. The magnetic moments at 1.7 K are ferromagnetically coupled between CoO6-octahedra chains and the Co2O10 dimers in the z direction. The values obtained for the magnetic moments are: 3.39(7)mu(B) [Co(1)] and 3.84(5)mu(B) [Co(2)]. The absence of any anomaly in both the specific heat and thermal evolution of the magnetic moments below similar to20 K confirms the blocking process of a spin glass behavior. The crystal-field splitting of the Co2+ ions causes a single ion anisotropy along the z (c-axis) direction, giving an Ising character in which the local spins from the Co(1) dimers are frozen. A magnetic frustration in the Co(1) magnetic moments is observed as due to the presence of antiferromagnetic interactions between Co(2) neighbor chains. It is to note the existence of a Co(1)-O(3)(PO3)-Co(2) superexchange angle with a value of 107degrees that involves ferromagnetic couplings between chain and dimer neighbors ferromagnetically coupled. This exchange pathway together with the anisotropy and frustration could be the responsible of the spin glass behavior observed in the three-dimensional antiferromagnetic Co-2(OH)(PO4) ordered phase.66
POST-PANDEMIC SELF-EFFICACY AND JOB PERFORMANCE OF EARLY GRADES SCHOOLTEACHERS IN ASSOCIE INTERNATIONAL KINDERGARTEN BANGKOK 35
This research study endeavors to assess the levels of post-pandemic self-efficacy and job performance among early grades schoolteachers with the primary objective of providing a foundation for a professional development plan. The study profiles teachers based on age, gender, marital status, and teaching experience, evaluates their self-efficacy sources, and measures job performance. It explores differences in self-efficacy and performance based on teacher profiles and investigates the relationship between self-efficacy and job performance. The research employed a quantitative descriptive research design at Associe International Kindergarten Bangkok 35 (AIKB35), involving thirty-four early grades teachers selected randomly. Data was collected using a survey assessing self-efficacy and job performance ratings. Findings show high self-efficacy and consistent "Good" job performance across profiles, with a positive relationship between self-efficacy and performance. Recommendations include prioritizing the well-being of older teachers, promoting male role models in early education, inspiring mentorship, introducing Learning Action Cell programs, enhancing psychosocial and wellness programs, providing teacher training, fostering school-community partnerships, and recognizing and incentivizing high-performing educators. This study sheds light on the connection between self-efficacy and job performance among early grades schoolteachers in the post-pandemic era, offering valuable insights for educational institutions and administrators to support teachers and enhance the quality of education
A Profile Likelihood Analysis of the Constrained MSSM with Genetic Algorithms
The Constrained Minimal Supersymmetric Standard Model (CMSSM) is one of the
simplest and most widely-studied supersymmetric extensions to the standard
model of particle physics. Nevertheless, current data do not sufficiently
constrain the model parameters in a way completely independent of priors,
statistical measures and scanning techniques. We present a new technique for
scanning supersymmetric parameter spaces, optimised for frequentist profile
likelihood analyses and based on Genetic Algorithms. We apply this technique to
the CMSSM, taking into account existing collider and cosmological data in our
global fit. We compare our method to the MultiNest algorithm, an efficient
Bayesian technique, paying particular attention to the best-fit points and
implications for particle masses at the LHC and dark matter searches. Our
global best-fit point lies in the focus point region. We find many
high-likelihood points in both the stau co-annihilation and focus point
regions, including a previously neglected section of the co-annihilation region
at large m_0. We show that there are many high-likelihood points in the CMSSM
parameter space commonly missed by existing scanning techniques, especially at
high masses. This has a significant influence on the derived confidence regions
for parameters and observables, and can dramatically change the entire
statistical inference of such scans.Comment: 47 pages, 8 figures; Fig. 8, Table 7 and more discussions added to
Sec. 3.4.2 in response to referee's comments; accepted for publication in
JHE
Towards Machine Wald
The past century has seen a steady increase in the need of estimating and
predicting complex systems and making (possibly critical) decisions with
limited information. Although computers have made possible the numerical
evaluation of sophisticated statistical models, these models are still designed
\emph{by humans} because there is currently no known recipe or algorithm for
dividing the design of a statistical model into a sequence of arithmetic
operations. Indeed enabling computers to \emph{think} as \emph{humans} have the
ability to do when faced with uncertainty is challenging in several major ways:
(1) Finding optimal statistical models remains to be formulated as a well posed
problem when information on the system of interest is incomplete and comes in
the form of a complex combination of sample data, partial knowledge of
constitutive relations and a limited description of the distribution of input
random variables. (2) The space of admissible scenarios along with the space of
relevant information, assumptions, and/or beliefs, tend to be infinite
dimensional, whereas calculus on a computer is necessarily discrete and finite.
With this purpose, this paper explores the foundations of a rigorous framework
for the scientific computation of optimal statistical estimators/models and
reviews their connections with Decision Theory, Machine Learning, Bayesian
Inference, Stochastic Optimization, Robust Optimization, Optimal Uncertainty
Quantification and Information Based Complexity.Comment: 37 page
Review of imaging solutions for integrated quantitative immunohistochemistry in the Pathology daily practice.
The role of mTOR and phospho-p70S6K in pathogenesis and progression of gastric carcinomas: an immunohistochemical study on tissue microarray
<p>Abstract</p> <p>Background</p> <p>mTOR signaling pathway and its downstream serine/threonine kinase p70S6k were frequently activated in human cancers. The dysregulation of the mTOR pathway has been found to be a contributing factor of a variety of different cancer. To investigate the role of mTOR signal pathway in the stepwise development of gastric carcinomas, we analyzed the correlations between the mTOR and P70S6K expression and clinic pathological factors and studied its prognostic role in gastric carcinomas.</p> <p>Methods</p> <p>mTOR and phospho-p70S6K proteins were examined by immunohistochemistry on tissue microarray containing gastric carcinomas (n = 412), adenomas (n = 47) and non-neoplastic mucosa (NNM, n = 197) with a comparison of their expression with clinicopathological parameters of carcinomas.</p> <p>Results</p> <p>There was no difference of mTOR expression between these three tissues (p > 0.05). Cytoplasmic phospho(p)-P706SK was highly expressed in adenoma, compared with ANNMs (p < 0.05), whereas its nuclear expression was lower in gastric carcinomas than gastric adenoma and ANNMs (p < 0.05). These three markers were preferably expressed in the older patients with gastric cancer and intestinal-type carcinoma (p < 0.05). mTOR expression was positively correlated with the cytoplasmic and nuclear expression of p-P70S6K(p < 0.05). Nuclear P70S6K was inversely linked to tumor size, depth of invasion, lymph node metastasis and UICC staging (p < 0.05). Univariate analysis indicated that expression of mTOR and nuclear p-P70S6K was closely linked to favorable prognosis of the carcinoma patients (p < 0.05). Multivariate analysis showed that age, depth of invasion, lymphatic invasion, lymph node metastasis, Lauren's classification and mTOR expression were independent prognostic factors for overall gastric carcinomas (p < 0.05).</p> <p>Conclusion</p> <p>Aberrant expression of p-P70S6K possibly contributes to pathogenesis, growth, invasion and metastasis of gastric carcinomas. It was considered as a promising marker to indicate the aggressive behaviors and prognosis of gastric carcinomas.</p
The Zoning of Semi-Enclosed Bodies of Water According to the Sediment Pollution: The Bay of Algeciras as a Case Example
This paper reports a study of the occurrence and
levels of polycyclic aromatic hydrocarbons (PAHs) in a bay
characterised by a chronic persistent impact. A total of 55
sediment samples were taken at different depths up to
111 m in two sampling campaigns. Chemical analyses were
carried out by gas chromatography-mass spectroscopy. The
results indicate that: (1) significant spatial variations exist,
(2) levels of PAHs are related more strongly to the spatial
distribution of sediments than to mineralogy/granulometry,
(3) the sediments are slightly-to-moderately contaminated
by PAHs, and (4) these PAHs derive from pyrolytic and
petrogenic sources. Through use of an innovative data
classification system (proposed according to depth and
spatial location of sampling points), and using factorial and
cluster techniques, five zones have been differentiated
depending on the contamination level and source
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