13 research outputs found
Pesquisa dos Modelos de Valor Adicionado (MVA) para as políticas de educação: Delimitação da discussão
In this manuscript, the guest editors of the EPAA Special Issue on “Value-Added Model (VAM) Research for Educational Policy” (1) introduce the background and policy context surrounding the increased use of VAMs for teacher evaluation and accountability purposes across the United States; (2) summarize the five research papers and one research-based commentary that were peer-reviewed and selected for inclusion in this special issue; and (3) discuss the relevance of the papers both individually and collectively. Their importance is discussed in terms of each paper’s contribution to the general research on this topic and each paper’s potential to inform educational policy. In addition, the papers reflect our shared thinking about VAMs, VAM output, and the inference-based decisions for which VAMs are increasingly being used.En este artículo, los editores invitados de este número especial de EPAA/AAPE sobre la investigación de los Modelos de Valor Agregado (MVA) para las políticas educativas: (1) presentan los antecedentes y el contexto político que rodean la utilización de MVA en la evaluación de los docentes y rendición de cuentas en los Estados Unidos, (2) un resumen de los cinco trabajos de investigación y el comentarios que fueron seleccionados para su inclusión en este número especial, y (3) analizamos la pertinencia de los documentos, tanto individual como colectivamente. Su importancia se discuten en términos de la contribución de cada documento para la investigación general sobre este tema y el potencial de cada artículo para informar la política educativa. Además, los documentos reflejan nuestro pensamiento sobre la producción de MVA y las decisiones basadas en MVA son cada vez más utilizados.Neste artigo, os editores convidados desta edição especial da EPAA/AAPE sobre a Pesquisa dos Modelos de Valor Adicionado (MVA) para as políticas de educação: (1) Apresentam o contexto político em torno do uso dos MVA na avaliação de professores e de responsabilização nos Estados Unidos, (2) um resumo dos cinco trabalhos de pesquisa e o comentário que foram selecionados para inclusão nesta edição especial, e (3) analisar a relevância dos trabalhos selecionados tanto individualmente como coletivamente. Sua importância é discutida em termos da contribuição de cada artigo para a pesquisa geral sobre este tema e as potencialidades de cada artigo para informar a política educacional. Além disso, os artigos refletem o nosso pensamento sobre a produção de decisões e MVA, e como são cada vez mais utilizados
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An index to assess the health and benefits of the global ocean
The ocean plays a critical role in supporting human well-being, from providing food, livelihoods and recreational opportunities to regulating the global climate. Sustainable management aimed at maintaining the flow of a broad range of benefits from the ocean requires a comprehensive and quantitative method to measure and monitor the health of coupled human–ocean systems. We created an index comprising ten diverse public goals for a healthy coupled human–ocean system and calculated the index for every coastal country. Globally, the overall index score was 60 out of 100 (range 36–86), with developed countries generally performing better than developing countries, but with notable exceptions. Only 5% of countries scored higher than 70, whereas 32% scored lower than 50. The index provides a powerful tool to raise public awareness, direct resource management, improve policy and prioritize scientific research.This is the publisher’s final pdf. The published article is copyrighted by the Nature Publishing Group and can be found at: http://www.nature.com/nature/index.htm
Variable-Velocity Traveling-Wave Ion Mobility Separation Enhancing Peak Capacity for Data-Independent Acquisition Proteomics
High mass accuracy,
data-dependent acquisition is the current standard
method in mass spectrometry-based peptide annotation and quantification.
In high complexity samples, limited instrument scan speeds often result
in under-sampling. In contrast, all-ion data-independent acquisition
methods bypass precursor selection, alternating high and low collision
energies to analyze product and precursor ions across wide mass ranges.
Despite capturing data for all events, peptide annotation is limited
by inadequate alignment algorithms or overlapping ions. Ion mobility
separation can add an orthogonal analytical dimension, reducing ion
interference to improve reproducibility, peak capacity, and peptide
identifications to rival modern hybrid quadrupole orbitrap systems.
Despite the advantages of ion mobility separation in complex proteomics
analyses, there has been no quantitative measure of ion mobility resolution
in a complex proteomic sample. Here, we present TWIMExtract, a data
extraction tool to export defined slices of liquid chromatography/ion
mobility/mass spectrometry (LC-IM-MS) data, providing a route to quantify
ion mobility resolution from a commercial traveling-wave ion mobility
time-of-flight mass spectrometer. Using standard traveling-wave ion
mobility parameters (600 m/s, 40 V), 90% of the annotated peptides
occupied just 23% of the ion mobility drift space, yet inclusion of
ion mobility nearly doubled the overall peak capacity. Relative to
fixed velocity traveling-wave ion mobility settings, ramping the traveling-wave
velocity increased drift space occupancy, amplifying resolution by
16%, peak capacity by nearly 50%, and peptide/protein identifications
by 40%. Overall, variable-velocity traveling-wave ion mobility-mass
spectrometry significantly enhances proteomics analysis in all-ion
fragmentation acquisition
Raising the bar for systematic conservation planning
Systematic conservation planning (SCP) represents a significant step toward cost-effective, transparent allocation of resources for biodiversity conservation. However, research demonstrates important consequences of uncertainties in SCP and of basing methods on simplified circumstances involving few real-world complexities. Current research often relies on single case studies with unknown forms and amounts of uncertainty as well as low statistical power for generalizing results. Consequently, conservation managers have little evidence for the true performance of conservation planning methods in their own complex, uncertain applications. To build effective and reliable methods in SCP, there is a need for more challenging and integrated testing of their robustness to uncertainty and complexity, and much greater emphasis on generalization to real-world situations
Assessing nature's contributions to people
A major challenge today and into the future is to maintain or enhance beneficial contributions of nature to a good quality of life for all people. This is among the key motivations of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), a joint global effort by governments, academia, and civil society to assess and promote knowledge of Earth's biodiversity and ecosystems and their contribution to human societies in order to inform policy formulation. One of the more recent key elements of the IPBES conceptual framework (1) is the notion of nature's contributions to people (NCP), which builds on the ecosystem service concept popularized by the Millennium Ecosystem Assessment (MA) (2). But as we detail below, NCP as defined and put into practice in IPBES differs from earlier work in several important ways. First, the NCP approach recognizes the central and pervasive role that culture plays in defining all links between people and nature. Second, use of NCP elevates, emphasizes, and operationalizes the role of indigenous and local knowledge in understanding nature's contribution to people.
The broad remit of IPBES requires it to engage a wide range of stakeholders, spanning from natural, social, humanistic, and engineering sciences to indigenous peoples and local communities in whose territories lie much of the world's biodiversity. Being an intergovernmental body, such inclusiveness is essential not only for advancing knowledge but also for the political legitimacy of assessment findings (3)