Aspectos genéticos em estrabismo

Purpose: To evaluate the genetic aspects of strabismus. Methods: Ophthalmic and orthoptic evaluations were performed prospectively on 110 strabismic probands and 478 relatives. We used 3 different criteria in the diagnosis of strabismus: primary diagnosis (dx1) defined as any manifest horizontal or vertical deviation, a secondary diagnosis (dx2) including esophoria (>7 prism diopters) or exophoria (>9 prism diopters), and a tertiary diagnosis (dx3) including abnormal fusional amplitudes, accommodative convergence/accommodation (AC/A) ratio, and/or stereopsis; monofixation syndrome; 4 prism diopters base out; and/or abnormal Maddox test responses. Analyses were carried out within mating types. Results: Hypotheses of autosomal dominant or recessive inheritance with no sporadics were rejected. Based on the dx1, 25% of the families had more than one individual affected and there was vertical transmission in 13%; adding dx2 there were 36% of the families with more than one affected and 21% had vertical transmission; and adding dx3, there were 73% with more than one affected and 51% with vertical transmission. Conclusions: There is evidence for a pattern consistent with an autosomal dominant form of strabismus in most families.Objetivo: Avaliar aspectos genéticos em estrabismo. Métodos: Foram realizados exames oftalmológicos e ortópticos prospectivamente em 110 propósitos estrábicos e 478 familiares. Foram usados 3 diferentes critérios no diagnóstico de estrabismo: diagnóstico primário (dx1) foi definido como qualquer desvio horizontal ou vertical manifesto, diagnóstico secundário (dx2) incluiu esoforias (> 7 dioptrias prismáticas) ou exoforia (< 9 dioptrias prismáticas) e diagnóstico terciário (dx3), que incluiu amplitudes de fusão anormal, relação convergência acomodativa/acomodação (CA/A) elevada, estereopsia anormal, síndrome de monofixação, e teste das 4 dioptrias prismáticas e teste de Maddox anormais. A análise dos resultados foi por meio da avaliação dos pedigrees segundo o tipo de união. Resultados: As hipóteses de herança autossômicas dominantes ou recessivas sem casos esporádicos foram rejeitadas. Baseado no dx1, 25% das famílias tiveram mais de um indivíduo afetado e houve transmissão vertical em 13%; adicionando o dx2, foi encontrado que 36% das famílias tinham mais de um membro afetado e houve transmissão vertical em 21%; e adicionando dx3, 73% das famílias tinham mais de um membro afetado e houve transmissão vertical em 51% delas. Conclusão: Existem evidências que apontam para um padrão compatível com herança autossômica dominante na maioria das famílias.Federal University of São Paulo Department of OphthalmologyUCLA Jules Stein Eye Institute Department of OphthalmologyUniversity of Colorado The Children's Hospital Rocky Mountain Lions Eye InstituteUNIFESP, Department of OphthalmologySciEL

Assessing the Sensitivity of the Non-Hydrostatic Regional Climate Model to Boundary Conditions and Convective Schemes over the Philippines

Regional climate models have been useful in climate studies and in downscaling climate projections from global climate models, especially for areas characterized by complex topography and coastline features, such as the Philippines. However, several factors may affect model skill, such as uncertainties related to the boundary conditions and model configuration. This study evaluates the performance of the non-hydrostatic regional climate model (NHRCM) over the Philippines. Present-day climate simulations at 50 km resolution are conducted using two sets of boundary conditions (ECMWF ERA-Interim and the NCEP/NCAR Reanalysis Project NNRP1), as well as two convective parameterization schemes in the model (Grell and Kain-Fritsch). Results show that the seasonal changes in the spatial distribution of temperature, rainfall, and winds over the Philippines are simulated reasonably well. NHRCM has an overall cold and dry bias over land, the degree of which depends on the boundary condition and the convective scheme used. After adjusting the simulated temperature because of the difference in topography, the temperature differs from that observed by -0.90°C to -0.42°C on average. The rainfall bias in NHRCM ranges from -62.13 % to -25.20 %. Regardless of the boundary condition, the Grell scheme results in the lowest temperature bias with high skill scores, while the Kain-Fritsch scheme gives the lowest rainfall bias with high correlation and skill scores. The boundary conditions also influence model skill, such that the model bias is lower for temperature when ERA-Interim is used, but lower for rainfall with NNRP1. NHRCM represents the seasonal cycles of temperature and rainfall for all regions, but tends to generate more occurrences of cold and dry months. Improvements in the model are still possible, but these results indicate the potential of the model to be used for providing essential information for describing historical and future changes in the Philippine climate

Return to Nursing: A Meta-Synthesis of Academic Bridging Programs’ Effect on Internationally Educated Nurses

This meta-synthesis explored the effect of bridging programs on internationally educated nurses (IENs). Eight papers that met the inclusion criteria were selected for this review. There were 437 participants from eight studies who come from different parts of the globe and who settled in either Australia, Canada, New Zealand, or the United Kingdom. Using a grounded theory approach for data analysis, four effects of bridging programs on IENs were identified. These are: (a) the concepts from the regulatory body, the client-centred care; (b) do something better for us, for our future; (c) we have to learn English; and, (d) faculty, program coordinator and preceptors that were willing to work with them. These effects were defined and explored in light of the study samples selected for this study

Diagnostic Analysis of the Canary Current System of West Africa: The need for a paradigm shift to proactive natural resource management

Large exports of land-based contaminants to the ocean exacerbate the effects of climate change, pollute ocean waters, disrupt biogeochemical cycles, harm marine organisms, and consequently jeopardise food security and the livelihoods of ocean-dependent communities. The Canary Current Large Marine Ecosystem (CCLME) is characterised by a mix of the Atlantic Ocean basin waters, reverse flow from the Mediterranean Sea, and inland waters from adjacent countries. This biodiversity-rich ecosystem is a source of ecosystem goods and services that provide sustenance for populations in the coastal states of West Africa and beyond. However, with the ocean surface warming, ocean productivity and fisheries’ outputs have declined across multiple trophic levels. Therefore, in this diagnostic study based on a systematic literature review (publications from 2009 to 2020), we (a) provide an integrative assessment of the CCLME with the exception of Morocco, in the context of the modular large marine ecosystem framework using the categories ‘environmental’ (productivity, fish and fisheries, pollution, and ecosystem health) and ‘non-environmental’ (socioeconomic and governance), and (b) identify knowledge gaps and data scarce regions. The key drivers of change in the CCLME were identified as fishing pressure, land-based pollution, coastal habitat loss, and climate change. Productivity, land-based pollution, and ecosystem health were priority areas for data collection in the CCLME, with data deficiencies particularly apparent in The Gambia and Guinea. Therefore, to mitigate further degradation and accelerate progress toward sustainable management of the CCLME, research should be conducted in these priority areas of data deficiency. Furthermore, as most drivers of change in this ecosystem are related to weak management and a lack of regulatory enforcement, we recommend effective implementation, monitoring, and enforcement of existing national and transboundary regulations, as well as ecosystem-based human-centred management approaches, as proactive strategies for decoupling anthropogenic disturbances from climate change and optimising the productivity of the CCLME

Wind Energy Projection for the Philippines based on Climate Change Modeling

To complement the existing method of wind energy assessment, this study presents wind energy projection by downscaling a regional climate model, RegCM3, which is also used in predicting rainfall and temperature changes, and using a conversion method using the Weibull distribution. A couple of papers which used long-term predicting models focused on two regions, China and the US High Plains, show a decrease of about 14% and 7%-17% respectively in wind power density due to global warming over the next century. This paper focuses on a smaller grid size of 10 km x 10 km to concentrate on a specific wind farm in Pililla, Rizal, Philippines which is considered as a commercially feasible site by wind developers. Wind energy projection that considers the effects of climate change for the expected period of operation of 25 years is used because this gives wind developers an outlook on the power production during the wind farm\u27s lifetime and would contribute in determining the wind farm\u27s potential for financial returns. Percentage difference of wind power density between the baseline period of 2008-2012 and five-year projection periods from 2013-2037 are presented. Contrary to the results of studies in China and western US, the results of this research show that there is an average five-year period increase of 6% in wind power density in Pililla, Rizal over the next 25 years

An introduction to Graph Data Management

A graph database is a database where the data structures for the schema and/or instances are modeled as a (labeled)(directed) graph or generalizations of it, and where querying is expressed by graph-oriented operations and type constructors. In this article we present the basic notions of graph databases, give an historical overview of its main development, and study the main current systems that implement them

UNLOCKing creative & innovative teaching in higher education extended abstracts

No abstract available.publishe

Future changes in annual precipitation extremes over Southeast Asia under global warming of 2°C

THIS ARTICLE PROVIDES detailed information on projected changes in annual precipitation extremes over Southeast Asia under global warming of 2°C based on the multi-model simulations of the Southeast Asia Regional Climate Downscaling/Coordinated Regional Climate Downscaling Experiment Southeast Asia (SEACLID/CORDEX-SEA). Four indices of extreme precipitation are considered: annual total precipitation (PRCPTOT), consecutive dry days (CDD), frequency of rainfall exceeding 50 mm/day (R50mm), and intensity of extreme precipitation (RX1day). The ensemble mean of 10 simulations showed reasonable performance in simulating observed characteristics of extreme precipitation during the historical period of 1986–2005. The year 2041 was taken as the year when global mean temperature reaches 2°C above pre-industrial levels under unmitigated climate change scenario based on Karmalkar and Bradley (2017). Results indicate that the most prominent changes during the period of 2031–2051 were largely significant. Robust increases in CDD imply impending drier conditions over Indonesia, while increases in RX1day suggest more intense rainfall events over most of Indochina under 2°C global warming scenario. Furthermore, northern Myanmar is projected to experience increases in CDD, R50mm and RX1day, suggesting that the area may face more serious repercussions than other areas in Southeast Asia

The climatic impact‐driver framework for assessment of risk‐relevant climate information

The climate science and applications communities need a broad and demand-driven concept to assess physical climate conditions that are relevant for impacts on human and natural systems. Here, we augment the description of the “climatic impact-driver” (CID) approach adopted in the Working Group I (WGI) contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report. CIDs are broadly defined as “physical climate system conditions (e.g., means, events, and extremes) that affect an element of society or ecosystems. Depending on system tolerance, CIDs and their changes can be detrimental, beneficial, neutral, or a mixture of each across interacting system elements and regions.” We give background information on the IPCC Report process that led to the development of the 7 CID types (heat and cold, wet and dry, wind, snow and ice, coastal, open ocean, and other) and 33 distinct CID categories, each of which may be evaluated using a variety of CID indices. This inventory of CIDs was co-developed with WGII to provide a useful collaboration point between physical climate scientists and impacts/risk experts to assess the specific climatic phenomena driving sectoral responses and identify relevant CID indices within each sector. The CID Framework ensures that a comprehensive set of climatic conditions informs adaptation planning and risk management and may also help prioritize improvements in modeling sectoral dynamics that depend on climatic conditions. CIDs contribute to climate services by increasing coherence and neutrality when identifying and communicating relevant findings from physical climate research to risk assessment and planning activities