About: Pontifícia Universidade Católica do Paraná is a education organization based out in Curitiba, Brazil. It is known for research contribution in the topics: Population & Kidney disease. The organization has 6491 authors who have published 9206 publications receiving 104051 citations.
Papers published on a yearly basis
TL;DR: In this article, a broad view of health behaviour causation, with the social and physical environment included as contributors to physical inactivity, particularly those outside the health sector, such as urban planning, transportation systems, and parks and trails, is presented.
Abstract: Summary Physical inactivity is an important contributor to non-communicable diseases in countries of high income, and increasingly so in those of low and middle income. Understanding why people are physically active or inactive contributes to evidence-based planning of public health interventions, because effective programmes will target factors known to cause inactivity. Research into correlates (factors associated with activity) or determinants (those with a causal relationship) has burgeoned in the past two decades, but has mostly focused on individual-level factors in high-income countries. It has shown that age, sex, health status, self-efficacy, and motivation are associated with physical activity. Ecological models take a broad view of health behaviour causation, with the social and physical environment included as contributors to physical inactivity, particularly those outside the health sector, such as urban planning, transportation systems, and parks and trails. New areas of determinants research have identified genetic factors contributing to the propensity to be physically active, and evolutionary factors and obesity that might predispose to inactivity, and have explored the longitudinal tracking of physical activity throughout life. An understanding of correlates and determinants, especially in countries of low and middle income, could reduce the effect of future epidemics of inactivity and contribute to effective global prevention of non-communicable diseases.
TL;DR: A systematic literature review was carried out to analyse the academic articles within the Industry 4.0 topic that were published online until the end of June 2016 and indicates existing deficiencies and potential research directions through proposing a research agenda.
Abstract: Over the last few years, the fourth industrial revolution has attracted more and more attentions all around the world. In the current literature, there is still a lack of efforts to systematically review the state of the art of this new industrial revolution wave. The aim of this study is to address this gap by investigating the academic progresses in Industry 4.0. A systematic literature review was carried out to analyse the academic articles within the Industry 4.0 topic that were published online until the end of June 2016. In this paper, the obtained results from both the general data analysis of included papers (e.g. relevant journals, their subject areas and categories, conferences, keywords) and the specific data analysis corresponding to four research sub-questions are illustrated and discussed. These results not only summarise the current research activities (e.g. main research directions, applied standards, employed software and hardware), but also indicate existing deficiencies and potential re...
TL;DR: A novel multi-objective algorithm called Multi-Objective Grey Wolf Optimizer (MOGWO) is proposed in order to optimize problems with multiple objectives for the first time.
Abstract: Due to the novelty of the Grey Wolf Optimizer (GWO), there is no study in the literature to design a multi-objective version of this algorithm. This paper proposes a Multi-Objective Grey Wolf Optimizer (MOGWO) in order to optimize problems with multiple objectives for the first time. A fixed-sized external archive is integrated to the GWO for saving and retrieving the Pareto optimal solutions. This archive is then employed to define the social hierarchy and simulate the hunting behavior of grey wolves in multi-objective search spaces. The proposed method is tested on 10 multi-objective benchmark problems and compared with two well-known meta-heuristics: Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D) and Multi-Objective Particle Swarm Optimization (MOPSO). The qualitative and quantitative results show that the proposed algorithm is able to provide very competitive results and outperforms other algorithms. Note that the source codes of MOGWO are publicly available at http://www.alimirjalili.com/GWO.html. A novel multi-objective algorithm called Multi-objective Grey Wolf Optimizer is proposed.MOGWO is benchmarked on 10 challenging multi-objective test problems.The quantitative results show the superior convergence and coverage of MOGWO.The coverage ability of MOGWO is confirmed by the qualitative results as well.
Ludwig Institute for Cancer Research1, University of São Paulo2, State University of Campinas3, Sao Paulo State University4, Federal University of São Paulo5, Institut national de la recherche agronomique6, Instituto Biológico7, Universidade de Ribeirão Preto8, German Cancer Research Center9, Instituto Butantan10, Novartis11, Pontifícia Universidade Católica do Paraná12, University of Paraíba Valley13, Universidade de Mogi das Cruzes14
TL;DR: The complete genome sequence of X. fastidiosa clone 9a5c is reported, providing direct evidence of phage-mediated horizontal gene transfer and indicating that the molecular basis for bacterial pathogenicity is both conserved and independent of host.
Abstract: Instituto Ludwig de Pesquisa sobre o Câncer, Rua Prof. Antonio Prudente, 109-4 andar, 01509-010, Sao Paulo-SP
University of British Columbia1, Allen Institute for Brain Science2, Memorial Sloan Kettering Cancer Center3, University of Virginia4, University of California, San Francisco5, Thomas Jefferson University6, University of Toronto7, University of Utah8, University of Minnesota9, Mayo Clinic10, Northwestern University11, University of Pittsburgh12, Johns Hopkins University13, Harvard University14, Ohio State University15, University of Texas Health Science Center at Houston16, University of Texas MD Anderson Cancer Center17, Icahn School of Medicine at Mount Sinai18, Kanazawa University19, Pontifícia Universidade Católica do Paraná20, University of South Florida21, University of Saskatchewan22
TL;DR: The Spine Instability Neoplastic Score is a comprehensive classification system with content validity that can guide clinicians in identifying when patients with neoplastic disease of the spine may benefit from surgical consultation and aid surgeons in assessing the key components of spinal instability due to neoplasia.
Abstract: Study design Systematic review and modified Delphi technique. Objective To use an evidence-based medicine process using the best available literature and expert opinion consensus to develop a comprehensive classification system to diagnose neoplastic spinal instability. Summary of background data Spinal instability is poorly defined in the literature and presently there is a lack of guidelines available to aid in defining the degree of spinal instability in the setting of neoplastic spinal disease. The concept of spinal instability remains important in the clinical decision-making process for patients with spine tumors. Methods We have integrated the evidence provided by systematic reviews through a modified Delphi technique to generate a consensus of best evidence and expert opinion to develop a classification system to define neoplastic spinal instability. Results A comprehensive classification system based on patient symptoms and radiographic criteria of the spine was developed to aid in predicting spine stability of neoplastic lesions. The classification system includes global spinal location of the tumor, type and presence of pain, bone lesion quality, spinal alignment, extent of vertebral body collapse, and posterolateral spinal element involvement. Qualitative scores were assigned based on relative importance of particular factors gleaned from the literature and refined by expert consensus. Conclusion The Spine Instability Neoplastic Score is a comprehensive classification system with content validity that can guide clinicians in identifying when patients with neoplastic disease of the spine may benefit from surgical consultation. It can also aid surgeons in assessing the key components of spinal instability due to neoplasia and may become a prognostic tool for surgical decision-making when put in context with other key elements such as neurologic symptoms, extent of disease, prognosis, patient health factors, oncologic subtype, and radiosensitivity of the tumor.
Showing all 6544 results
|David W. Bates||159||1239||116698|
|Carlos A. Camargo||125||1283||69143|
|Peter J. Fleming||66||529||24395|
|Alex A. Freitas||60||345||14789|
|Abdul Rashid Qureshi||55||254||10463|
|Fredric O. Finkelstein||53||224||9868|
|Gilad J. Kuperman||51||172||12757|
|Leandro dos Santos Coelho||51||331||9022|
|Rodrigo Siqueira Reis||49||246||11097|
|Luiz S. Oliveira||44||230||7004|
|Marilene Henning Vainstein||42||208||6054|
Related Institutions (5)
Universidade Federal de Minas Gerais
75.6K papers, 1.2M citations
State University of Campinas
104.6K papers, 1.8M citations
Universidade Federal de Santa Catarina
55.4K papers, 714.4K citations
Universidade Federal do Rio Grande do Sul
89.4K papers, 1.4M citations
University of São Paulo
272.3K papers, 5.1M citations