Os profissionais da informação: avaliação de currículo Lattes no domínio da organização do conhecimento na era do big data

The Big Data phenomenon evidences a context in constant cultural, social, political and economic changes and also in Information Science with a concern in the treatment of data, to guarantee the adequate and efficient recovery, in digital environments. In this way, new horizons for information professionals are opened up. The present research presents as problematic the formation and performance of the information professional for data processing in the Big Data Age, in which the SOCs have the tools to assist in the recovery of digital knowledge. Within this context, we mean the contributions of knowledge organization systems (KOS) supported by technologies and contributions from other fields, such as Computer Science and Linguistics. Therefore, studies and research are needed to better understand the dimensions of how the information professional is preparing and dealing with the systems of knowledge organization in relation to the big data era. In the present research, the training and performance of the information professionals working with knowledge organization systems together with the big data were analyzed. For this, a curricular analysis was carried out by the IC professionals who approach the proposed theme. In this way, it is a general objective to investigate the profile of the IC professional in the KOS theme along with Big Data, to contribute to the development of the area. Specific objectives are to identify: I) what are the university degrees of these professionals, II) if these professionals have a postgraduate degree and in which area, III) the area where the information professionals are performing their duties. In this way, the curricula were retrieved on the Lattes platform, which is a database of the Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq - Plataforma Lattes do Brasil, using the filter "Area of Information Science" and search terms used were "big data and knowledge organization systems" in all fields offered by the database. Once the quantitative survey was carried out, the university training of these professionals and their professional performance were analyzed, and the professional skills and competences of the information professional in the Big Data era were discussed. their contributions. We recovered 71 curricula that work with KOS and big data, in which all these professionals concluded their doctorate, 70 of these professionals act as university professor and only 1 is not professor and is inserted in the administrative branch. It was verified that Blioteconomia is the graduation that most form information professionals working in the area of knowledge organization systems and big data together. All the curricula analyzed have some type of training in higher education, the post graduate that stood out most was in the area of information technology

Os profissionais da informação: avaliação de currículo Lattes no domínio da organização do conhecimento na era do big data

The Big Data phenomenon evidences a context in constant cultural, social, political and economic changes and also in Information Science with a concern in the treatment of data, to guarantee the adequate and efficient recovery, in digital environments. In this way, new horizons for information professionals are opened up. The present research presents as problematic the formation and performance of the information professional for data processing in the Big Data Age, in which the SOCs have the tools to assist in the recovery of digital knowledge. Within this context, we mean the contributions of knowledge organization systems (KOS) supported by technologies and contributions from other fields, such as Computer Science and Linguistics. Therefore, studies and research are needed to better understand the dimensions of how the information professional is preparing and dealing with the systems of knowledge organization in relation to the big data era. In the present research, the training and performance of the information professionals working with knowledge organization systems together with the big data were analyzed. For this, a curricular analysis was carried out by the IC professionals who approach the proposed theme. In this way, it is a general objective to investigate the profile of the IC professional in the KOS theme along with Big Data, to contribute to the development of the area. Specific objectives are to identify: I) what are the university degrees of these professionals, II) if these professionals have a postgraduate degree and in which area, III) the area where the information professionals are performing their duties. In this way, the curricula were retrieved on the Lattes platform, which is a database of the Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq - Plataforma Lattes do Brasil, using the filter "Area of Information Science" and search terms used were "big data and knowledge organization systems" in all fields offered by the database. Once the quantitative survey was carried out, the university training of these professionals and their professional performance were analyzed, and the professional skills and competences of the information professional in the Big Data era were discussed. their contributions. We recovered 71 curricula that work with KOS and big data, in which all these professionals concluded their doctorate, 70 of these professionals act as university professor and only 1 is not professor and is inserted in the administrative branch. It was verified that Blioteconomia is the graduation that most form information professionals working in the area of knowledge organization systems and big data together. All the curricula analyzed have some type of training in higher education, the post graduate that stood out most was in the area of information technology

Biomarker-based prognosis for people with mild cognitive impairment (ABIDE): a modelling study

Background Biomarker-based risk predictions of dementia in people with mild cognitive impairment are highly relevant for care planning and to select patients for treatment when disease-modifying drugs become available. We aimed to establish robust prediction models of disease progression in people at risk of dementia. Methods In this modelling study, we included people with mild cognitive impairment (MCI) from single-centre and multicentre cohorts in Europe and North America: the European Medical Information Framework for Alzheimer's Disease (EMIF-AD; n=883), Alzheimer's Disease Neuroimaging Initiative (ADNI; n=829), Amsterdam Dementia Cohort (ADC; n=666), and the Swedish BioFINDER study (n=233). Inclusion criteria were a baseline diagnosis of MCI, at least 6 months of follow-up, and availability of a baseline Mini-Mental State Examination (MMSE) and MRI or CSF biomarker assessment. The primary endpoint was clinical progression to any type of dementia. We evaluated performance of previously developed risk prediction models—a demographics model, a hippocampal volume model, and a CSF biomarkers model—by evaluating them across cohorts, incorporating different biomarker measurement methods, and determining prognostic performance with Harrell's C statistic. We then updated the models by re-estimating parameters with and without centre-specific effects and evaluated model calibration by comparing observed and expected survival. Finally, we constructed a model combining markers for amyloid deposition, tauopathy, and neurodegeneration (ATN), in accordance with the National Institute on Aging and Alzheimer's Association research framework. Findings We included all 2611 individuals with MCI in the four cohorts, 1007 (39%) of whom progressed to dementia. The validated demographics model (Harrell's C 0·62, 95% CI 0·59–0·65), validated hippocampal volume model (0·67, 0·62–0·72), and updated CSF biomarkers model (0·72, 0·68–0·74) had adequate prognostic performance across cohorts and were well calibrated. The newly constructed ATN model had the highest performance (0·74, 0·71–0·76). Interpretation We generated risk models that are robust across cohorts, which adds to their potential clinical applicability. The models could aid clinicians in the interpretation of CSF biomarker and hippocampal volume results in individuals with MCI, and help research and clinical settings to prepare for a future of precision medicine in Alzheimer's disease. Future research should focus on the clinical utility of the models, particularly if their use affects participants' understanding, emotional wellbeing, and behaviour

Association between IgM Anti-Herpes Simplex Virus and Plasma Amyloid-Beta Levels

OBJECTIVE: Herpes simplex virus (HSV) reactivation has been identified as a possible risk factor for Alzheimer's disease (AD) and plasma amyloid-beta (Aβ) levels might be considered as possible biomarkers of the risk of AD. The aim of our study was to investigate the association between anti-HSV antibodies and plasma Aβ levels. METHODS: The study sample consisted of 1222 subjects (73.9 y in mean) from the Three-City cohort. IgM and IgG anti-HSV antibodies were quantified using an ELISA kit, and plasma levels of Aβ(1-40) and Aβ(1-42) were measured using an xMAP-based assay technology. Cross-sectional analyses of the associations between anti-HSV antibodies and plasma Aβ levels were performed by multi-linear regression. RESULTS: After adjustment for study center, age, sex, education, and apolipoprotein E-e4 polymorphism, plasma Aβ(1-42) and Aβ(1-40) levels were specifically inversely associated with anti-HSV IgM levels (β = -20.7, P=0.001 and β = -92.4, P=0.007, respectively). In a sub-sample with information on CLU- and CR1-linked SNPs genotyping (n=754), additional adjustment for CR1 or CLU markers did not modify these associations (adjustment for CR1 rs6656401, β = -25.6, P=0.002 for Aβ(1-42) and β = -132.7, P=0.002 for Aβ(1-40;) adjustment for CLU rs2279590, β = -25.6, P=0.002 for Aβ(1-42) and β = -134.8, P=0.002 for Aβ(1-40)). No association between the plasma Aβ(1-42)-to-Aβ(1-40) ratio and anti-HSV IgM or IgG were evidenced. CONCLUSION: High anti-HSV IgM levels, markers of HSV reactivation, are associated with lower plasma Aβ(1-40) and Aβ(1-42) levels, which suggest a possible involvement of the virus in the alterations of the APP processing and potentially in the pathogenesis of AD in human

Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median $z\sim 0.03$). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between $z\sim 0.6$ and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July

Perspectives and Integration in SOLAS Science

Why a chapter on Perspectives and Integration in SOLAS Science in this book? SOLAS science by its nature deals with interactions that occur: across a wide spectrum of time and space scales, involve gases and particles, between the ocean and the atmosphere, across many disciplines including chemistry, biology, optics, physics, mathematics, computing, socio-economics and consequently interactions between many different scientists and across scientific generations. This chapter provides a guide through the remarkable diversity of cross-cutting approaches and tools in the gigantic puzzle of the SOLAS realm. Here we overview the existing prime components of atmospheric and oceanic observing systems, with the acquisition of ocean–atmosphere observables either from in situ or from satellites, the rich hierarchy of models to test our knowledge of Earth System functioning, and the tremendous efforts accomplished over the last decade within the COST Action 735 and SOLAS Integration project frameworks to understand, as best we can, the current physical and biogeochemical state of the atmosphere and ocean commons. A few SOLAS integrative studies illustrate the full meaning of interactions, paving the way for even tighter connections between thematic fields. Ultimately, SOLAS research will also develop with an enhanced consideration of societal demand while preserving fundamental research coherency. The exchange of energy, gases and particles across the air-sea interface is controlled by a variety of biological, chemical and physical processes that operate across broad spatial and temporal scales. These processes influence the composition, biogeochemical and chemical properties of both the oceanic and atmospheric boundary layers and ultimately shape the Earth system response to climate and environmental change, as detailed in the previous four chapters. In this cross-cutting chapter we present some of the SOLAS achievements over the last decade in terms of integration, upscaling observational information from process-oriented studies and expeditionary research with key tools such as remote sensing and modelling. Here we do not pretend to encompass the entire legacy of SOLAS efforts but rather offer a selective view of some of the major integrative SOLAS studies that combined available pieces of the immense jigsaw puzzle. These include, for instance, COST efforts to build up global climatologies of SOLAS relevant parameters such as dimethyl sulphide, interconnection between volcanic ash and ecosystem response in the eastern subarctic North Pacific, optimal strategy to derive basin-scale CO2 uptake with good precision, or significant reduction of the uncertainties in sea-salt aerosol source functions. Predicting the future trajectory of Earth’s climate and habitability is the main task ahead. Some possible routes for the SOLAS scientific community to reach this overarching goal conclude the chapter

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

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