58 research outputs found
2024-25 Casey ASPA 135 ANTOS data collection using SAEF AIoT Prototype 1.5 platforms
No full textProgress Code: completedStatement: Data collected by a new prototype smart sensing solution, sensor calibrations may not be accurate.<b>Purpose</b><br/>Measure summer environmental conditions at a proposed future East-ANTOS advanced site and a nearby long-term vegetation monitoring site. Data to be used to understand and model differences between the two locations.Casey 24/25 deployment of two SAEF Artificial Intelligence of Things (AIoT) Prototype 1.5 platforms for data collection in ASPA 135 at Antarctic Nearshore and Terrestrial Observing System (ANTOS) monitoring sites. Field logistic support by AAS 4644 (ANTOS) using smart sensing platforms developed under AAS 4628 (SAEF; SR200100005).<br/><br/>Two AIOT v1.5 units deployed in ASPA 135: <br/>Box 1: ASPA 135 – selected ANTOS tower site (camera facing moss site)<br/>Location: 110.538867809103, -66.2828989690345<br/>External thermocouples measured soil surface (few mm under surface)<br/><br/>Box 2: Long-term vegetation monitoring site (camera facing east)<br/>Location: 110.538288974015, -66.2818963416407<br/>External thermocouples measured inside branched structure of Usnea lichens (above soil surface) <br/><br/>Each unit included an array of sensors and an onboard camera. <br/>Data logged: 06/12/2024 – 03/02/2025. <br/>Sampling rate: hourly<br/><br/>Measurements (unit): <br/>1. Time sample recorded (AEST; YYYY-MM-DD_hh-mm-ss)<br/>2, Temperature inside AIoT enclosure; DHT31 sensor (deg C)<br/>3, Relative humidity inside AIoT enclosure; DHT31 sensor (%)<br/>4, Amount of current used by AIoT sensor interface shield; INA260 (mA)<br/>5, Voltage at sensor interface shield; INA260 (mV)<br/>6, Wattage at main board (sensor interface shield); INA260 (mW)<br/>7, Voltage from battery bank; INA260 (mV)<br/>8. Thermocouple 0 temperature (soil/vegetation); MCP9600 (deg C)<br/>9. Thermocouple 1 temperature (soil/vegetation); MCP9600 (deg C)<br/>10. Thermocouple 2 temperature (soil/vegetation); MCP9600 (deg C)<br/>11. Thermocouple 3 temperature (soil/vegetation); MCP9600 (deg C)<br/>12. Photosynthetic Photon Flux Density; Apogee SQ-500 sensor (µmol/m2/s)<br/>13. Temperature from weather station; HMP60 (deg C)<br/>14. Relative humidity from weather station; HMP60 (%)<br/><br/>Project team:<br/>- Dr Johan Barthelemy – SAEF CI, project lead, supported software development of platform<br/>- Dr Krystal Randall – SAEF Postdoc, field deployed system<br/>- Cameron Angus – Hardware engineer, supported development and assembly of platform<br/>- Dr Jane Wasley – ANTOS CI, supported field deployment of syste
"Literature tests and the Elementary Education Assessment System (SAEF) of the Fortaleza´s Secretary of Education: qualitative and quantitative errors investigation in the Portuguese language descriptors in the fifth grade of Fortaleza´s Elementary School"
No full textA presente pesquisa tem como objetivo investigar as incidências de erros cometidos por alunos do 5º ano do Ensino Fundamental nas avaliações diagnósticas do Sistema de Avaliação do Ensino Fundamental (SAEF) de Língua Portuguesa, com foco nos descritores D1, D2, D3 e D4. O SAEF, desenvolvido pela Secretaria Municipal de Educação (SME) desde 2009, visa monitorar a aprendizagem dos estudantes de diferentes séries, inicialmente do 1º e 2º ano e, posteriormente, abrangendo do 1º ao 9º ano. Este sistema utiliza instrumentos de avaliação como o Protocolo do Programa de Alfabetização na Idade Certa (PAIC) e a Provinha Brasil, com foco em competências de leitura e escrita. A coleta de dados ao longo dos anos consolidou um sistema robusto de acompanhamento educacional, permitindo uma análise das dificuldades de aprendizagem dos alunos. A literatura, como componente essencial do currículo escolar, está intimamente ligada à capacidade de interpretação e produção textual, fatores que influenciam diretamente no sucesso acadêmico. Com a implementação das Avaliações Diagnósticas de Rede (ADR), que ocorrem mensal e periodicamente, é possível identificar não apenas os erros cometidos, mas também as tendências manifestas nas respostas dos alunos. A segmentação das avaliações possibilita a observação das variações de desempenho ao longo do tempo, contribuindo para um diagnóstico mais preciso das dificuldades enfrentadas pelos estudantes em relação a cada descritor da língua portuguesa. A pesquisa adotará metodologia qualitativa, examinando os dados das provas aplicadas, organizadas segundo os descritores considerados mais importantes para o desenvolvimento da capacidade leitora dos alunos, analisando, assim, os principais motivos que levam os avaliados ao equívoco. A abordagem teórica e documental abordará a importância da literatura, utilizando-se as obras de Antonio Candido para maior suporte da literatura técnica a fim de justificar as competências apresentadas nos referidos descritores e a literatura como direito humano e fundamental. O referencial bibliográfico contará também com a abordagem teórica da crítica literária, utilizando-se como parametro a teoria da recepção, com o intuito de examinar o potencial de leitura dos estudantes, notadamente, estabelecendo a relação entre a literatura e os conceitos pessoais do autor, contextualizando o espaço cultural onde estariam inseridos e como estes tem reflexos na interpretação literária. A análise qualitativa levará em consideração fatores como a formação dos professores, a abordagem pedagógica utilizada e o contexto cultural dos alunos. A formação docente, por exemplo, pode afetar a maneira como os estilos literários são abordados em sala de aula, influenciando a compreensão dos alunos. Além de identificar os erros cometidos por descritor, a pesquisa buscará, de igual forma, oferecer sugestões para a melhoria das práticas pedagógicas nas escolas. Espera-se que os resultados obtidos possam ser utilizados pela SME para que o Poder Público se responsabilize quanto à disponibilização de programas de formação continuada para educadores e a restruturação curricular. Por fim, essa pesquisa volta-se para a valorização da literatura como meio de desenvolver competências essenciais para a formação integral dos estudantes, tendo em vista que a identificação e a compreensão dos estilos literários nas avaliações serão fundamentais para estabelecer correlações que informem práticas pedagógicas mais adequadas e contextualizadas, favorecendo o aprendizado significativo da literaturaThis research aims to investigate the incidence of errors made by 5th grade elementary school students in diagnostic assessments of the Fundamental Education Assessment System (SAEF) of Portuguese Language, focusing on descriptors D1, D2, D3 and D4. The SAEF, developed by the Municipal Department of Education (SME) since 2009, aims to monitor students learning in different grades, initially from the 1st and 2nd grade and, later, covering the 1st to 9th grade. This system uses assessment instruments such as the Protocol of the Literacy Program at the Right Age (PAIC) and the “Provinha Brasil”, focusing on reading and writing skills. Data collection over the years has consolidated a robust educational monitoring system, allowing an analysis of students' learning difficulties. Literature, as an essential component of the school curriculum, is closely linked to the ability to interpret and produce texts, factors that directly influence academic success. With the implementation of Diagnostic Network Assessments (ADR), which occur monthly and periodically, it is possible to identify not only the errors committed, but also the trends evident in the students' responses. The segmentation of the assessments makes it possible to observe the variations in performance over time, contributing to a more accurate diagnosis of the difficulties faced by students in relation to each descriptor of the Portuguese language. The research will adopt a qualitative methodology, examining the data from the tests applied, organized according to the descriptors considered most important for the development of the students' reading ability skills, thus analyzing the main reasons that lead the evaluated to make mistakes. The theoretical and documentary approach will address the importance of literature, using the works of Antonio Candido for greater support of the technical literature in order to justify the skills presented in the aforementioned descriptors and literature as a human and fundamental right. The bibliographical reference will also include the theoretical approach of literary criticism, using reception theory as a parameter, in order of examining the reading potential of students, notably by establishing the relationship between literature and the personal concepts of the author, contextualizing the cultural space in which they would be inserted and how these have an impact on literary interpretation. The qualitative analysis will take into account factors such as teacher training, the pedagogical approach used and the cultural context of the students. Teacher training, for example, can affect the way literary styles are addressed in the classroom, influencing students' understanding. In addition to identifying errors made by descriptor, the research will also seek to offer suggestions for improving pedagogical practices in schools. It is expected that the results obtained can be used by the SME so that the Public Authorities take responsibility for providing continuing education programs for educators and restructuring the school curriculum. Finally, this research focuses on the appreciation of literature as a means of developing essential skills for the comprehensive education of students, given that the identification and understanding of literary styles in assessments will be fundamental to establishing correlations that inform more appropriate and contextualized pedagogical practices, favoring the significant learning of literatur
Elongation factor Tu is a multifunctional and processed moonlighting protein
No full text© 2017 The Author(s). Many bacterial moonlighting proteins were originally described in medically, agriculturally, and commercially important members of the low G + C Firmicutes. We show Elongation factor Tu (Ef-Tu) moonlights on the surface of the human pathogens Staphylococcus aureus (SaEf-Tu) and Mycoplasma pneumoniae (MpnEf-Tu), and the porcine pathogen Mycoplasma hyopneumoniae (MhpEf-Tu). Ef-Tu is also a target of multiple processing events on the cell surface and these were characterised using an N-terminomics pipeline. Recombinant MpnEf-Tu bound strongly to a diverse range of host molecules, and when bound to plasminogen, was able to convert plasminogen to plasmin in the presence of plasminogen activators. Fragments of Ef-Tu retain binding capabilities to host proteins. Bioinformatics and structural modelling studies indicate that the accumulation of positively charged amino acids in short linear motifs (SLiMs), and protein processing promote multifunctional behaviour. Codon bias engendered by an A + T rich genome may influence how positively-charged residues accumulate in SLiMs
Elongation factor Tu is a multifunctional and processed moonlighting protein
No full textMany bacterial moonlighting proteins were originally described in medically, agriculturally, and commercially important members of the low G + C Firmicutes. We show Elongation factor Tu (Ef-Tu) moonlights on the surface of the human pathogens Staphylococcus aureus (SaEf-Tu) and Mycoplasma pneumoniae (MpnEf-Tu), and the porcine pathogen Mycoplasma hyopneumoniae (MhpEf-Tu). Ef-Tu is also a target of multiple processing events on the cell surface and these were characterised using an N-terminomics pipeline. Recombinant MpnEf-Tu bound strongly to a diverse range of host molecules, and when bound to plasminogen, was able to convert plasminogen to plasmin in the presence of plasminogen activators. Fragments of Ef-Tu retain binding capabilities to host proteins. Bioinformatics and structural modelling studies indicate that the accumulation of positively charged amino acids in short linear motifs (SLiMs), and protein processing promote multifunctional behaviour. Codon bias engendered by an A + T rich genome may influence how positively-charged residues accumulate in SLiMs
Windmill Island moss and lichen abundance changes (2000-2022)
No full textProgress Code: completedThis record contains moss and lichen abundance data associated with the Windmill Islands long-term vegetation monitoring program, conducted between 2000 and 2022, under projects ASAC_1313, AAS_3042, AAS_4046, AAS_4516 and AAS_4613. This record provides information about field collections and sampling methods, as well as providing raw data for species abundance at two sites in the Windmill Islands (ASPA 135 and Robinson Ridge).<br/>This record was prepared by Elka Blackman and Melinda Waterman in December 2024.<br/><br/>Baseline survey was described in Metadata ID ASAC_1313_Transects_2002-03; five, 10 year and 13 year surveys described in ASAC_1313_Transects_2007-08, AAS_4046_Transects_2012-13, and AAS_4046_Transects_2000-2013 respectively.<br/><br/>Funding and logistics support to collect these data were provided by<br/>Australian Antarctic Science projects ASAC_1313, AAS_3042, AAS_3129, AAS_4046 (Robinson), AAS_4516 (Waterman), and AAS_4613 (SAEF)<br/>Australian Research Council grants (DP200100223) <br/>ARC SRIEAS SR200100005 Securing Antarctica’s Environmental Future (SAEF)<br/><br/><br/>FILE: AAS_4516_QuadratVegetationSpecies_2000-2022.xlsx This excel file provides vegetation community data collected between 2000 and 2022. Four worksheets:<br/><br/>1. "Vocabulary" – provides a detailed description of methods, terms and abbreviations.<br/>2. "DataCollection" – provides information about sampling, analyses and publications.<br/>3. "Quadrat" – provides a schematic of the quadrats used in this study, providing details of the size used for photos (25 x 25 cm), sample collection (20 x 20 cm) and grid interval details.<br/>4. "Species" – species abundance assessments of vegetation microsamples.<br/><br/>Quadrat location data are provided in metadata ID: AAS_4046_quadrat_locations (https://data.aad.gov.au/metadata/records/AAS_4046_quadrat_locations).<br/><br/>And shown in two maps which are available via the AADC map catalogue: <br/>http://data.aad.gov.au/aadc/mapcat/display_map.cfm?map_id=14450 <br/>http://data.aad.gov.au/aadc/mapcat/display_map.cfm?map_id=14451<br/><br/>Quadrat photography data at these two sites in the Windmill Islands are provided in separate metadata records: <br/>https://data.aad.gov.au/metadata/AAS_4046_QuadratPhotographs<br/>https://data.aad.gov.au/metadata/AAS_4046_2014QuadratPhotographs<br/><br/>Baseline survey was described in Metadata ID ASAC_1313_Transects_2002-03; five, 10 year and 13 year surveys described in ASAC_1313_Transects_2007-08, AAS_4046_Transects_2012-13, and AAS_4046_Transects_2000-2013 respectively
Out of sight for the endoscopist? Gastrointestinal bleeding after aortic repair
No full textBackground and study aim: Secondary Aortoenteric Fistulas (sAEF) are difficult to diagnose and usually result in fatal gastrointestinal (GI) bleeding following aortic repair. Outcomes are largely dependent on a timely diagnosis, but AEFs remain challenging to identify endoscopically and are usually diagnosed on computed tomography (CT) scans. The aim of our study was optimize diagnosis of AEF by identifying patients developing GI bleeding after aortic repair, investigate their clinical course and identify factors specific to different bleeding sources.
Methods: A retrospective, single-center study capturing all patients developing upper or lower GI bleeding after aortic surgery between January 2009 and March 2020 was performed. Electronic health records were screened for diagnostic codes of the relevant procedures. Bleeding was classified into three groups: AEF with demonstrable fistula, ischemic - macroscopic ulceration plus histological confirmation or imaging and "other" due to other recognized conventional cause, such as peptic ulcer disease.
Results: 47 GI bleeding episodes in 39 patients were identified. Of these, 10 episodes (21%) were caused by AEF, 16 (34%) by ischemic ulceration and 21 (45%) due to other causes. Patients with AEF exhibited more frequent hemodynamic instability requiring vasopressors and had higher mortality, while ischemic ulcerations were associated with more recent operation or hypotensive episode.
Conclusions: GI bleeding complications are uncommon following aortic surgery. AEF and ischemic ulceration are however frequent bleeding causes in this cohort. In patients presenting with fulminant bleeding, primary CT-scanning should be considered.
Keywords: Aortoenteric Fistula (AEF); gastrointestinal bleeding; ischemic ulceration; aortic repair; endoscopy
Severe leukoaraiosis portends a poor outcome after traumatic brain injury
No full textFirst author Nils Henninger is a doctoral student in the Millennium PhD Program (MPP) in the Graduate School of Biomedical Sciences (GSBS) at UMass Medical School.BACKGROUND AND PURPOSE: It is now well accepted that traumatic white matter injury constitutes a critical determinant of post-traumatic functional impairment. However, the contribution of preexisting white matter rarefaction on outcome following traumatic brain injury (TBI) is unknown. Hence, we sought to determine whether the burden of preexisting leukoaraiosis of presumed ischemic origin is independently associated with outcome after TBI. METHODS: We retrospectively analyzed consecutive, prospectively enrolled patients of > /=50 years (n = 136) who were admitted to a single neurological/trauma intensive care unit. Supratentorial white matter hypoattenuation on head CT was graded on a 5-point scale (range 0-4) reflecting increasing severity of leukoaraiosis. Outcome was ascertained according to the modified Rankin Scale (mRS) and Glasgow outcome scale (GOS) at 3 and 12 months, respectively. RESULTS: After adjustment for other factors, leukoaraiosis severity was significantly associated with a poor outcome at 3 and 12 months defined as mRS 3-6 and GOS 1-3, respectively. The independent association between leukoaraiosis and poor outcome remained when the analysis was restricted to patients who survived up to 3 months, had moderate-to-severe TBI [enrollment Glasgow Coma Scale (GCS) < /=12; p = 0.001], or had mild TBI (GCS 13-15; p = 0.002), respectively. CONCLUSION: We provide first evidence that preexisting cerebral small vessel disease independently predicts a poor functional outcome after closed head TBI. This association is independent of other established outcome predictors such as age, comorbid state as well as intensive care unit complications and interventions. This knowledge may help improve prognostic accuracy, clinical management, and resource utilization
Out of sight for the endoscopist? Gastrointestinal bleeding after aortic repair
No full textSecondary Aortoenteric Fistulas (sAEF) are difficult to diagnose and usually result in fatal gastrointestinal (GI) bleeding following aortic repair. Outcomes are largely dependent on a timely diagnosis, but AEFs remain challenging to identify endoscopically and are usually diagnosed on computed tomography (CT) scans. The aim of our study was optimize diagnosis of AEF by identifying patients developing GI bleeding after aortic repair, investigate their clinical course and identify factors specific to different bleeding sources. A retrospective, single-center study capturing all patients developing upper or lower GI bleeding after aortic surgery between January 2009 and March 2020 was performed. Electronic health records were screened for diagnostic codes of the relevant procedures. Bleeding was classified into three groups: AEF with demonstrable fistula, ischemic – macroscopic ulceration plus histological confirmation or imaging and “other” due to other recognized conventional cause, such as peptic ulcer disease. 47 GI bleeding episodes in 39 patients were identified. Of these, 10 episodes (21%) were caused by AEF, 16 (34%) by ischemic ulceration and 21 (45%) due to other causes. Patients with AEF exhibited more frequent hemodynamic instability requiring vasopressors and had higher mortality, while ischemic ulcerations were associated with more recent operation or hypotensive episode. GI bleeding complications are uncommon following aortic surgery. AEF and ischemic ulceration are however frequent bleeding causes in this cohort. In patients presenting with fulminant bleeding, primary CT-scanning should be considered.</p
SAM-Melt_EA - R Code used in Saunderson et al. (2023; GRL Submission)
No full textOverviewThe notebooks in this repository contain R code that has been used to investigate the influence of the Southern Annular Mode (SAM) on surface melt in East Antarctica.This work has been undertaken as part of my PhD with the Monash Ice Sheet Initiative and SAEF at Monash University, where I am supervised by Prof. Andrew Mackintosh, Dr. Felicity McCormack, and Dr. Richard Jones. An accompanying manuscript has been submitted to the Geophysical Research Letters journal.Code & InstructionsThis project uses the R programming language and was written using RStudio, on both Windows 10 and MacOS 12.6.3. It uses the renv package to help with portability / replicability.The code here can also be found on GitHub in the SAM-Melt_EA repository, and is tagged as version v4.0. See the README.md file there for more information about the project and the repository set-up, plus where to download the necessary raw data. In particular, it is necessary to download the RACMO2.3p3 data, provided by co-author Christiaan van Dalum, and available online at: https://doi.org/10.5281/zenodo.7639053.Note: In addition to standard R packages from CRAN, it will be necessary to install 5 packages from my GitHub page. These packages (and the version used in this project) are:polarcm (v0.1.3) eases use of output from the polar regional climate models RACMO and MARterrapin (v0.1.1) spinoff from terra that eases handling dates of spatial datafiguR (v0.1.2) for easily customisable figureskulaR (v0.1.5) a wrapper around khroma to ease colour management in plotsdomR (v0.1.5) functions for easing how I approach a project with R</ul
SAM-Melt_EA v5.0 (R Code)
No full textOverviewThe notebooks in this repository contain R code that has been used to investigate the influence of the Southern Annular Mode (SAM) on surface melt in East Antarctica.This work has been undertaken as part of my PhD with MISI and SAEF at Monash University, where I am supervised by Prof. Andrew Mackintosh, Dr. Felicity McCormack, and Dr. Richard Jones. The work has also been supported by co-author Dr. Christiaan van Dalum (IMAU, Utrecht University).This project uses output from the RACMO2.3p3 regional climate model to identify spatiotemporal variability in the SAM-Melt relationship, and to understand the physical mechanisms responsible for the relationship. An accompanying manuscript is currently under review for publication.Code & InstructionsThis project uses the R programming language and was written using RStudio, on both Windows 10 and MacOS 14.1. It uses the renv package to help with portability / replicability.The code here can also be found on GitHub in the SAM-Melt_EA repository, and is tagged as Version v5.0. See the "README.md" file on GitHub for more information about the project and the repository set-up, plus where to download the necessary raw data. In particular, it is necessary to download the RACMO2.3p3 data, available online at: https://doi.org/10.5281/zenodo.7639053.NOTE: This version of the code (v5.0) makes some minor changes to the formatting of the v4.1 figures following the first stage of the peer review process, and includes more comments and notes in the code.Note: In addition to standard R packages from CRAN, it will be necessary to install 5 packages from my GitHub page. These packages (and the version used in this project) are:polarcm (v0.1.3) eases use of output from the polar regional climate models RACMO and MARterrapin (v0.1.1) spinoff from terra that eases handling dates for spatial datafiguR (v0.1.2) for easy-to-customise figureskulaR (v0.1.5) a wrapper around khroma to ease colour management in plotsdomR (v0.1.5) functions for easing how I approach a project with R</p
- …
