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From English Language Arts Teacher to Literacy Expert: Reimagining Our Roles
No full textThis article focuses on the collaboration of English language arts (ELA) teachers and content-area teachers with the implementation of the Common Core State Standards (CCSS) in the U.S. It states that CCSS provide opportunities for ELA teachers to emerge as literacy experts in their schools and beyond. It further discusses effective literacy professional development, honoring the literacy expertise of non-ELA teachers and disciplinary vocabulary
A General Multipatch Model of Ebola Dynamics
No full textA model for the transmission dynamics of Ebola virus in a multipatch network setting is studied. The model considers the contribution to the dynamics by people who are susceptible, infectious, isolated, deceased but still infectious and not yet buried, as well as the dynamics of the pathogen at interacting nodes or patches. Humans can move between patches carrying the disease to any patch in a region of n communities (patches). Both direct and indirect transmission are accounted for in this model. Matrix and graph-theoretic methods and some combinatorial identities are used to construct appropriate Lyapunov functions to establish global stability results for both the disease-free and the endemic equilibrium of the model. While the model is focused on Ebola, it can be adapted to the study of other disease epidemics, including COVID-19, currently affecting all countries in the world
Perceptions of Poverty in Springfield, Missouri: Causes, Consequences, and Proposed Solutions
No full textBook Review: UNBOUND: How Inequality Constricts Our Economy and What We Can Do About It”
No full textNoise optimizes super-Turing computation in recurrent neural networks
No full textThis paper explores the benefit of added noise in increasing the computational complexity of digital recurrent neural networks (RNNs). The physically accepted model of the universe imposes rational number, stochastic limits on all calculations. An analog RNN with those limits calculates at the super-Turing complexity level BPP/log∗. In this paper, we demonstrate how noise aids digital RNNs in attaining super-Turing operation similar to analog RNNs. We investigate moving limited-precision systems from not being chaotic at small amounts of noise, through consistency with chaos, to overwhelming it at large amounts of noise. A Kolmogorov-complexity-based proof shows that an infinite computational class hierarchy exists between P, the Turing class, and BPP/log∗. The hierarchy offers a possibility that the noise-enhanced digital RNNs could operate at a super-Turing level less complex than BPP/log∗. As the uniform noise increases, the digital RNNs develop positive Lyapunov exponents intimating that chaos is mimicked. The exponents maximize to the accepted values for the logistic and Hénon maps when the noise equals eight times the least significant bit of the noisy recurrent signals for the logistic digital RNN and four times the Hénon digital RNN
International academic publishing in Vietnam: policy efficiency and room for development
No full textBrain network effects by continuous theta burst stimulation in mal de débarquement syndrome: simultaneous EEG and fMRI study
No full text. Heterogeneous clinical responses to treatment with non-invasive brain stimulation are commonly observed, making it necessary to determine personally optimized stimulation parameters. We investigated neuroimaging markers of effective brain targets of treatment with continuous theta burst stimulation (cTBS) in mal de débarquement syndrome (MdDS), a balance disorder of persistent oscillating vertigo previously shown to exhibit abnormal intrinsic functional connectivity.Twenty-four right-handed, cTBS-naive individuals with MdDS received single administrations of cTBS over one of three stimulation targets in randomized order. The optimal target was determined based on the assessment of acute changes after the administration of cTBS over each target. Repetitive cTBS sessions were delivered on three consecutive days with the optimal target chosen by the participant. Electroencephalography (EEG) was recorded at single-administration test sessions of cTBS. Simultaneous EEG and functional MRI data were acquired at baseline and after completion of 10-12 sessions. Network connectivity changes after single and repetitive stimulations of cTBS were analyzed.Using electrophysiological source imaging and a data-driven method, we identified network-level connectivity changes in EEG that correlated with symptom responses after completion of multiple sessions of cTBS. We further determined that connectivity changes demonstrated by EEG during test sessions of single administrations of cTBS were signatures that could predict optimal targets.Our findings demonstrate the effect of cTBS on resting state brain networks and suggest an imaging-based, closed-loop stimulation paradigm that can identify optimal targets during short-term test sessions of stimulation.NCT02470377
Building a Repertoire of Joint Attention Bids in Children With Autism
No full textThe current study extended previous research through evaluating if a multiple-probe procedure including auditory scripts and script-fading procedures could build a generalized repertoire of initiating bids for joint attention in three young children with autism. Stimuli were selected from four categories. Three categories were associated with teaching procedures and within-category generalization. The fourth category was associated with across-category generalization. The four categories were (a) visually alluring toys, (b) strangely placed objects, (c) large pictures, and (d) sounds. Category assignments in which teaching procedures or generalization were assessed were counterbalanced across the participants. Three different auditory scripts were selected and used during intervention for each of stimuli associated with teaching, which taught response generalization. All three participants learned to initiate bids for joint attention. After scripts were faded, bids for joint attention were maintained and generalized to novel stimuli and settings
Rock glaciers and related cold rocky landforms: Overlooked climate refugia for mountain biodiversity
No full textMountains are global biodiversity hotspots where cold environments and their associated ecological communities are threatened by climate warming. Considerable research attention has been devoted to understanding the ecological effects of alpine glacier and snowfield recession. However, much less attention has been given to identifying climate refugia in mountain ecosystems where present-day environmental conditions will be maintained, at least in the near-term, as other habitats change. Around the world, montane communities of microbes, animals, and plants live on, adjacent to, and downstream of rock glaciers and related cold rocky landforms (CRL). These geomorphological features have been overlooked in the ecological literature despite being extremely common in mountain ranges worldwide with a propensity to support cold and stable habitats for aquatic and terrestrial biodiversity. CRLs are less responsive to atmospheric warming than alpine glaciers and snowfields due to the insulating nature and thermal inertia of their debris cover paired with their internal ventilation patterns. Thus, CRLs are likely to remain on the landscape after adjacent glaciers and snowfields have melted, thereby providing longer-term cold habitat for biodiversity living on and downstream of them. Here, we show that CRLs will likely act as key climate refugia for terrestrial and aquatic biodiversity in mountain ecosystems, offer guidelines for incorporating CRLs into conservation practices, and identify areas for future research
Understanding the career and job outcomes of contemporary career attitudes within the context of career environments: An integrative meta-analysis
No full textThe number of empirical studies on contemporary career attitudes (e.g., protean and boundaryless career orientation) has grown in volume, and yet our understanding of how these attitudes relate to career and job outcomes is rather limited. There are inconsistent findings on these career attitudes and their outcomes. The purpose of this review is to integrate the two core arguments that explain this inconsistency: (1) there is a need for greater construct clarity in the attitudes, and (2) the current career environment has not seen a complete dissolution of the conditions underlying traditional, employer-centric careers. We begin to develop an integrative conceptual framework to explain the effects of contemporary career attitudes and conducted a comprehensive meta-analysis of these attitude constructs with their outcomes and correlates. Results of the meta-analysis generally provided support for the explanation that the current career environment is a blend of employer- and employee-centric elements, and the greater conceptual distance a contemporary career attitude dimension has from this blended environment and is towards a more purely employee-centric environment, the less beneficial it will be to outcomes. Drawing from our findings, we provide a systematic guide highlighting the areas where additional research is needed on the study of contemporary career attitudes