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1. Ethics, Data Governance, Knowledge Production and Public Engagement in Population Data Science Field from the Perspective of a Brazilian Experience

Author: Bethânia de Araújo Almeida, Mauricio L. Barreto, Adalton dos Anjos Fonseca, and Robespierre Dantas da Rocha Pita
Subjects: Demography. Population. Vital events, HB848-3697
Abstract: Objectives To present and discuss the experience and associated ethical, legal and sociotechnical challenges of creating the Center for Data and Knowledge Integration for Health (CIDACS/Fiocruz Bahia-Brazil), initially constructed to link socioeconomic and health data to make it possible to build the 100 Million Brazilians Cohort aimed to investigate the social inequalities in health and the impact of social protection policies on health in low-income and vulnerable populations throughout Brazil. Approach Presentation of CIDACS’ interdisciplinary work focusing on the complexity of building an infrastructure and capacity to conduct record linkage with quality and accuracy and to provide access to deidentified linked datasets to support knowledge production. Based on an interactive discussion was possible exchanging experiences and insights about design and implementing strategies that enable ethical and inclusive data practices aligned with specific characteristics, challenges, and opportunities of Population Data Science in a broader and contextualized perspective. Results The production of scientific knowledge supported by linked data, in addition to ethical and legal adherence to regulations, must consider social dimensions which pose new questions and contextualized solutions considering the rights of data subjects in groups and communities to implement strategies to promote dialogue and involvement with society, particularly with groups covered by linked data, as well as other data stakeholders, e.g. data regulators, data managers, policymakers and data users. Conclusions From CIDACS’ perspective, the workshop discussed how the main topics regarding populational data science, notably infrastructure, data linkage methods, ethical, legal and social implications, are intertwined and context-dependent. Furthermore, it promoted a comprehensive debate surrounding data practices and public engagement as a dynamic and cumulative process, a perspective which may contribute to similar initiatives in high-income countries.
Published: 2024
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2. O destino da fracassada democracia burguesa

Author: Robespierre de Oliveira
Subjects: Marcuse, Teoria Crítica, Estupidez, Democracia, Philosophy (General), B1-5802, Arts in general, NX1-820
Abstract: O ataque à democracia coloca o problema da defesa da democracia e qual democracia defender. A democracia burguesa propicia o desenvolvimento do aspecto autoritário, possibilitando que falsos líderes acedam ao poder. Isto aumenta o controle do Estado por rackets que visam facilitar as condições de exploração, aumentando a desigualdade e a injustiça sociais. A legitimação de tais líderes ocorre por meio da propaganda, da manipulação de massas estúpidas, que acreditam em notícias falsas, conhecimento falso, e valores morais hipócritas. A estupidez é parte importante desse processo. Somente com o avanço de uma consciência crítica é possível resistir aos ataques da extrema direita.
Published: 2024
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3. Comparison between the Dynamic Responses of Steel Buildings with Medium and Deep Columns under Several Seismic Intensities

Author: Federico Valenzuela-Beltrán, Mario D. Llanes-Tizoc, Eden Bojorquez, Juan Bojorquez, J. M. Leal-Graciano, Victor Baca, Robespierre Chavez, and Alfredo Reyes-Salazar
Subjects: moment-resisting steel frames, deep columns, low-, mid-, and high-rise buildings, seismic loading, local and global response, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract: Structural engineers often use deep columns in high seismic areas to reduce drifts, yet this somehow contradicts what is stated in some tests in the sense that even though deep columns may satisfy current seismic provisions, they can suffer premature twisting; this is an indication that a lot of research is needed in this area. Numerical and experimental studies have been conducted to estimate the response of steel buildings with medium and deep columns under the action of static and cyclic loading; however, studies accounting for the dynamic characteristics of buildings and strong motions are not common. In addition, responses in terms of local parameters have not been considered either. In this study, the nonlinear seismic responses of steel buildings with perimeter moment-resisting frames and medium (W14) columns are numerically calculated and compared to those of similar steel buildings with equivalent deep columns in terms of cost (W27 and larger). Low-, mid-, and high-rise steel building models with different dynamic characteristics, as well as several strong motions with different frequency contents, are considered. Results indicate that the drifts of the models with medium columns may be up to 140% greater than those of the models with deep columns. Significant reductions are also observed for top displacements, normalized interstory shears, and combined normalized axial loads and bending moments. Hence, the seismic demands of the buildings with deep columns may be much smaller than those of the buildings with medium columns and, therefore, the buildings with deep columns exhibit a superior behavior, which results in more economical designs. The reduction is greater for the case of low- and mid-rise buildings than for high-rise buildings. One of the reasons for this is that as medium columns are replaced by deep columns, the stiffness and the strength increase, which are lower in the tallest model.
Published: 2024
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4. Enabling Fast and Accurate Record Linkage of Large-Scale Health-Related Administrative Databases Through a DNA-Encoded Approach.

Author: José Araújo, Juan Silva, André Costa-Martins, Vanderson Sampaio, Daniel Castro, Robson Souza, Jeevan Giddaluru, Pablo Ramos, Robespierre Pita, Maurício Barreto, Manoel Netto, and Helder Nakaya
Subjects: DNA-encoded method, record linkage, genomic tools, epidemiology, BLAST, Demography. Population. Vital events, HB848-3697
Abstract: Objective Public health research frequently requires the integration of information from different data sources. However, errors in the records and the high computational costs involved make linking large administrative databases using record linkage (RL) methodologies a major challenge. We present Tucuxi-BLAST, a versatile tool for probabilistic RL that utilizes a DNA-encoded approach to encrypt, analyze and link massive administrative databases. Materials and Methods Tucuxi-BLAST encodes the identification records into DNA. BLASTn algorithm is then used to align the sequences between databases. We tested and benchmarked on a simulated database containing records for 300 million individuals and also on four large administrative databases containing real data on Brazilian patients. Results Our method was able to overcome misspellings and typographical errors in administrative databases. In processing the RL of the largest simulated dataset (200k records), the state-of-the art method took 5 days and 7 hours to perform the RL, while Tucuxi-BLAST only took 23 hours. When compared with five existing RL tools applied to a gold-standard dataset from real health-related databases, Tucuxi-BLAST had the highest accuracy and speed. Discussion By repurposing genomic tools, researchers are able to perform subject tracing across multiple large epidemiological databases using a regular laptop. Conclusion Tucuxi-BLAST can improve data-driven medical research and provide a fast and accurate way to link individual information across several administrative databases.
Published: 2022
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5. Tucuxi-BLAST: Enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approach

Author: José Deney Araujo, Juan Carlo Santos-e-Silva, André Guilherme Costa-Martins, Vanderson Sampaio, Daniel Barros de Castro, Robson F. de Souza, Jeevan Giddaluru, Pablo Ivan P. Ramos, Robespierre Pita, Mauricio L. Barreto, Manoel Barral-Netto, and Helder I. Nakaya
Subjects: DNA-encoded, Record linkage, Genomic tools, Epidemiology, BLAST, Medicine, Biology (General), QH301-705.5
Abstract: Background Public health research frequently requires the integration of information from different data sources. However, errors in the records and the high computational costs involved make linking large administrative databases using record linkage (RL) methodologies a major challenge. Methods We present Tucuxi-BLAST, a versatile tool for probabilistic RL that utilizes a DNA-encoded approach to encrypt, analyze and link massive administrative databases. Tucuxi-BLAST encodes the identification records into DNA. BLASTn algorithm is then used to align the sequences between databases. We tested and benchmarked on a simulated database containing records for 300 million individuals and also on four large administrative databases containing real data on Brazilian patients. Results Our method was able to overcome misspellings and typographical errors in administrative databases. In processing the RL of the largest simulated dataset (200k records), the state-of-the-art method took 5 days and 7 h to perform the RL, while Tucuxi-BLAST only took 23 h. When compared with five existing RL tools applied to a gold-standard dataset from real health-related databases, Tucuxi-BLAST had the highest accuracy and speed. By repurposing genomic tools, Tucuxi-BLAST can improve data-driven medical research and provide a fast and accurate way to link individual information across several administrative databases.
Published: 2022
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6. CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability

Author: George C. G. Barbosa, M. Sanni Ali, Bruno Araujo, Sandra Reis, Samila Sena, Maria Y. T. Ichihara, Julia Pescarini, Rosemeire L. Fiaccone, Leila D. Amorim, Robespierre Pita, Marcos E. Barreto, Liam Smeeth, and Mauricio L. Barreto
Subjects: Accuracy, Data linkage, Entity resolution, Indexing, Information retrieval techniques, Scalability, Computer applications to medicine. Medical informatics, R858-859.7
Abstract: Abstract Background Record linkage is the process of identifying and combining records about the same individual from two or more different datasets. While there are many open source and commercial data linkage tools, the volume and complexity of currently available datasets for linkage pose a huge challenge; hence, designing an efficient linkage tool with reasonable accuracy and scalability is required. Methods We developed CIDACS-RL (Centre for Data and Knowledge Integration for Health – Record Linkage), a novel iterative deterministic record linkage algorithm based on a combination of indexing search and scoring algorithms (provided by Apache Lucene). We described how the algorithm works and compared its performance with four open source linkage tools (AtyImo, Febrl, FRIL and RecLink) in terms of sensitivity and positive predictive value using gold standard dataset. We also evaluated its accuracy and scalability using a case-study and its scalability and execution time using a simulated cohort in serial (single core) and multi-core (eight core) computation settings. Results Overall, CIDACS-RL algorithm had a superior performance: positive predictive value (99.93% versus AtyImo 99.30%, RecLink 99.5%, Febrl 98.86%, and FRIL 96.17%) and sensitivity (99.87% versus AtyImo 98.91%, RecLink 73.75%, Febrl 90.58%, and FRIL 74.66%). In the case study, using a ROC curve to choose the most appropriate cut-off value (0.896), the obtained metrics were: sensitivity = 92.5% (95% CI 92.07–92.99), specificity = 93.5% (95% CI 93.08–93.8) and area under the curve (AUC) = 97% (95% CI 96.97–97.35). The multi-core computation was about four times faster (150 seconds) than the serial setting (550 seconds) when using a dataset of 20 million records. Conclusion CIDACS-RL algorithm is an innovative linkage tool for huge datasets, with higher accuracy, improved scalability, and substantially shorter execution time compared to other existing linkage tools. In addition, CIDACS-RL can be deployed on standard computers without the need for high-speed processors and distributed infrastructures.
Published: 2020
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7. Theoretical Recommendations of a Mathematical Game Developed from the Intuitive Concept of a Pythagorean Suit

Author: Edel Guilherme Silva Pontes, Edel Alexandre Silva Pontes, Luciano Martins da Silva, Robespierre Cocker Gomes da Silva, Janaina Rodrigues de Miranda, and Janaine Ferreira dos Santos
Subjects: teaching and learning mathematics. mathematical game. pythagorean suit., Education, Science, Social Sciences
Abstract: Mathematics in elementary school provides a whole foundation of knowledge that the student will need to expand more abstract contexts, establishing competencies and skills necessary to reason and think mathematically. Mathematical games have been an essential tool to minimize these distortions between theory and practice in learning mathematics.This study, carried out in 2019, aimed to present a memory game formed by Pythagorean suits, belonging to a kit of mathematical games produced by the research group GALC -Geometry, Algebra, Combinatory and Logic. Methodologically, the proposal aims to propose this game as an alternative in educational practice in the teaching and learning process of mathematics in basic education. The use of new methodologies for the act of learning and teaching mathematics has strengthened the student's creativity in basic education, stimulating teachers to realign all their pedagogical practice in favor of a more motivating and current mathematics teaching
Published: 2020
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8. Examining the quality of record linkage process using nationwide Brazilian administrative databases to build a large birth cohort

Author: Daniela Almeida, David Gorender, Maria Yury Ichihara, Samila Sena, Luan Menezes, George C. G. Barbosa, Rosimeire L. Fiaccone, Enny S. Paixão, Robespierre Pita, and Mauricio L. Barreto
Subjects: Computer applications to medicine. Medical informatics, R858-859.7
Abstract: Abstract Background Research using linked routine population-based data collected for non-research purposes has increased in recent years because they are a rich and detailed source of information. The objective of this study is to present an approach to prepare and link data from administrative sources in a middle-income country, to estimate its quality and to identify potential sources of bias by comparing linked and non-linked individuals. Methods We linked two administrative datasets with data covering the period 2001 to 2015, using maternal attributes (name, age, date of birth, and municipally of residence) from Brazil: live birth information system and the 100 Million Brazilian Cohort (created using administrative records from over 114 million individuals whose families applied for social assistance via the Unified Register for Social Programmes) implementing an in house developed linkage tool CIDACS-RL. We then estimated the proportion of highly probably link and examined the characteristics of missed-matches to identify any potential source of bias. Results A total of 27,699,891 live births were submited to linkage with maternal information recorded in the baseline of the 100 Million Brazilian Cohort dataset of those, 16,447,414 (59.4%) children were found registered in the 100 Million Brazilian Cohort dataset. The proportion of highly probably link ranged from 39.3% in 2001 to 82.1% in 2014. A substantial improvement in the linkage after the introduction of maternal date of birth attribute, in 2011, was observed. Our analyses indicated a slightly higher proportion of missing data among missed matches and a higher proportion of people living in an urban area and self-declared as Caucasian among linked pairs when compared with non-linked sets. Discussion We demonstrated that CIDACS-RL is capable of performing high quality linkage even with a limited number of common attributes, using indexation as a blocking strategy in larg e routine databases from a middle-income country. However, residual records occurred more among people under worse living conditions. The results presented in this study reinforce the need of evaluating linkage quality and when necessary to take linkage error into account for the analyses of any generated dataset.
Published: 2020
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9. Enhanced Seismic Structural Reliability on Reinforced Concrete Buildings by Using Buckling Restrained Braces

Author: Victor Baca, Juan Bojórquez, Edén Bojórquez, Herian Leyva, Alfredo Reyes-Salazar, Sonia E. Ruiz, Antonio Formisano, Leonardo Palemón, Robespierre Chávez, and Manuel Barraza
Subjects: Physics, QC1-999
Abstract: The control of vibrations and damage in traditional reinforced concrete (RC) buildings under earthquakes is a difficult task. It requires the use of innovative devices to enhance the seismic behavior of concrete buildings. In this paper, we design RC buildings with buckling restrained braces (BRBs) to achieve this objective. For this aim, three traditional RC framed structures with 3, 6, and 9 story levels are designed by using the well-known technique nondominated sorting genetic algorithm (NSGA-II) in order to reduce the cost and maximize the seismic performance. Then, equivalent RC buildings are designed but including buckling restrained braces. Both structural systems are subjected to several narrow-band ground motions recorded at soft soil sites of Mexico City scaled at different levels of intensities in terms of the spectral acceleration at first mode of vibration of the structure Sa(T1). Then, incremental dynamic analysis, seismic fragility, and structural reliability in terms of the maximum interstory drift are computed for all the buildings. For the three selected structures and the equivalent models with BRBs, it is concluded that the annual rate of exceedance is considerably reduced when BRBs are incorporated. For this reason, the structural reliability of the RC buildings with BRBs has a better behavior in comparison with the traditional reinforced concrete buildings. The use of BRBs is a good option to improve strength and seismic behavior and hence the structural reliability of RC buildings subjected to strong earthquake ground motions.
Published: 2021
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10. Rayleigh Damping vs. Modal Damping Matrix Superposition for Steel Frames and Evaluation of Higher-Mode Contribution

Author: Llanes-Tizoc, Mario D., Valenzuela-Beltrán, Federico, Bojórquez, Edén, Bojórquez, Juan, Gaxiola-Camacho, José R., Leal-Graciano, Jesus M., Chavez-López, Robespierre, and Reyes-Salazar, Alfredo
Published: 2024
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11. Effect of the Distribution of Mass and Structural Member Discretization on the Seismic Response of Steel Buildings

Author: Federico Valenzuela-Beltrán, Mario D. Llanes-Tizoc, Edén Bojórquez, Juan Bojórquez, Robespierre Chávez, Jesus Martin Leal-Graciano, Juan A. Serrano, and Alfredo Reyes-Salazar
Subjects: steel moment frames, concentrated mass matrix, consistent mass matrix, inelastic seismic behavior, multi-degree of freedom systems, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract: The response of steel moment frames is estimated by first considering that the mass matrix is the concentrated type (ML) and then consistent type (MC). The effect of considering more than one element per beam is also evaluated. Low-, mid- and high-rise frames, modeled as complex-2D-MDOF systems, are used in the numerical study. Results indicate that if ML is used, depending upon the response parameter under consideration, the structural model, the seismic intensity and the structural location, the response can be significantly overestimated, precisely calculated, or significantly underestimated. Axial loads at columns, on an average basis, are significantly overestimated (up to 60%), while lateral drifts and flexural moments at beams are precisely calculated. Inter-story shears and flexural moments at columns, on average, are underestimated by up to 15% and 35%, respectively; however, underestimations of up to 60% can be seen for some individual strong motions. Similarly, if just one element per beam is used in the structural modeling, inter-story shears and axial loads on columns are overestimated, on average, by up to 21% and 95%, respectively, while the lateral drifts are precisely calculated. Flexural moments at columns and beams can be considerably underestimated (on average up to 14% and 35%, respectively), but underestimations larger than 50% can be seen for some individual cases. Hence, there is no error in terms of lateral drifts if ML or one element per beam is used, but significant errors can be introduced in the design due to the overestimation and underestimation of the design forces. It is strongly suggested to use MC and at least two elements per beam in the structural modeling.
Published: 2022
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12. The Center for Data and Knowledge Integration for Health (CIDACS)

Author: Bethania de Araujo Almeida, Mauricio Lima Barreto, Maria Yuri Ichihara, Marcos Ennes Barreto, Liliana Cabral, Rosemeire Fiaccone, Roberto P Carreiro, Carlos Teles, Robespierre Pita, Gerson Penna, Manoel Barral-Netto, M. Sanni Ali, George Barbosa, Spiros Denaxas, Laura Rodrigues, and Liam Smeeth
Subjects: Administrative Data, Data Linkage, Public Health, Demography. Population. Vital events, HB848-3697
Abstract: The Center for Data and Knowledge Integration for Health (CIDACS) was created in 2016 in Salvador (Bahia, Brazil). This paper aims to present a profile of CIDACS, including its current databases. CIDACS aims to conduct interdisciplinary studies and research, develop new scientific methodology and promote professional training using linked large-scale databases and high-performance computational resources in a secure environment. Administrative data is at the core of the activities conducted by CIDACS. The advantages of administrative data include significantly larger sample sizes, an inherent longitudinal structure and high-quality information. The center’s research projects are primarily focused on enhancing the understanding surrounding the impact of social protection policies (e.g., public cash-transfer and housing programs) on health outcomes in low-income populations throughout Brazil. CIDACS’ primary data source is citizens who register with the Cadastro Único program, which encompasses individuals eligible to receive benefits from over 20 governmental social programs. CIDACS has two separate environments for data handling: 1) Data Production Center, a secure room housing the computational infrastructure for ingesting, storing, cleaning, processing and linking original databases, as well as extracting research-ready datasets and 2) Data Analysis Environment, a computational infrastructure based on data safe haven principles, which allows researchers to access and process requested datasets. Brazil has a large public health community that uses national health and social databases for research programs, and the linkage of different databases has been a widely employed practice in the country. CIDACS is the result of efforts by researchers, policymakers and public health officials to use and improve the quality of Brazilian health databases. CIDACS is expected to be an important resource for researchers and policymakers interested in improving the evidence base in different aspects of health, as well as with regard to the social determinants of health and the effects of social and environmental policies on health in general.
Published: 2019
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13. Administrative Data Linkage in Brazil: Potentials for Health Technology Assessment

Author: M Sanni Ali, Maria Yury Ichihara, Luciane Cruz Lopes, George C.G. Barbosa, Robespierre Pita, Roberto Perez Carreiro, Djanilson Barbosa dos Santos, Dandara Ramos, Nivea Bispo, Fabiana Raynal, Vania Canuto, Bethania de Araujo Almeida, Rosemeire L. Fiaccone, Marcos E. Barreto, Liam Smeeth, and Mauricio L. Barreto
Subjects: administrative data, Brazil, data linkage, epidemiological studies, health technology assessment, record linkage, Therapeutics. Pharmacology, RM1-950
Abstract: Health technology assessment (HTA) is the systematic evaluation of the properties and impacts of health technologies and interventions. In this article, we presented a discussion of HTA and its evolution in Brazil, as well as a description of secondary data sources available in Brazil with potential applications to generate evidence for HTA and policy decisions. Furthermore, we highlighted record linkage, ongoing record linkage initiatives in Brazil, and the main linkage tools developed and/or used in Brazilian data. Finally, we discussed the challenges and opportunities of using secondary data for research in the Brazilian context. In conclusion, we emphasized the availability of high quality data and an open, modern attitude toward the use of data for research and policy. This is supported by a rigorous but enabling legal framework that will allow the conduct of large-scale observational studies to evaluate clinical, economical, and social impacts of health technologies and social policies.
Published: 2019
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14. Crítica cultural e sociedade unidimensional

Author: Robespierre de Oliveira
Subjects: crítica cultural, sociedade unidimensional, teoria crítica, Adorno, Marcuse, Benjamin, Philosophy (General), B1-5802, Arts in general, NX1-820
Abstract: A crítica cultural da “Escola de Frankfurt” não se resume apenas à questão cultural ou artística, tampouco pode ser considerada “pessimista” ou “elitista”. A crítica cultural relaciona tanto a crítica à cultura quanto à sociedade, do mesmo modo que Marx mostrou a relação entre a produção material e a reprodução espiritual da sociedade. É desta maneira que Benjamin elaborou sua crítica ao cinema, Adorno cunhou a expressão “indústria cultural” e Marcuse a “dessublimação repressiva”. Benjamin constatou a afecção da experiência pelas novas tecnologias de reprodução cultural. Adorno apontou a regressão da audição no fenômeno da distribuição musical, mas poder-se-ia estender a noção para a regressão dos sentidos. Marcuse também elaborou a “perda” com o conceito de “dessublimação repressiva” apontando para a sociedade unidimensional. As mudanças na sociedade contemporânea mostram os limites da crítica cultural frankfurtiana, mas, ao mesmo tempo, revelam sua atualidade.
Published: 2017

15. Catástrofe da Libertação

Author: Robespierre de Oliveira
Subjects: catástrofe, libertação, revolução, contrarrevolução, Philosophy (General), B1-5802, Arts in general, NX1-820
Published: 2017

16. Design and evaluation of probabilistic record linkage methods supporting the Brazilian 100-million cohort initiative.

Author: Robespierre Pita, Clicia Pinto, Marcos Barreto, Samila Sena, Rosemeire Fiaccone, Leila Amorim, and Mauricio Barreto
Subjects: Demography. Population. Vital events, HB848-3697
Abstract: ABSTRACT Background and aims A cooperation Brazil-UK was set in mid-2013 aiming at to build a huge cohort comprised by individuals registered in CadastroÚnico (CADU), a socioeconomic database used in social programmes of the Brazilian government. Epidemiologists and statisticians wish to assess the impact of Bolsa Família (PBF), a conditional cash transfer programme, on the incidence of several diseases (tuberculosis, leprosy, HIV etc). The cohort must contain all individuals who received at least one payment from PBF between 2007 and 2012, which results in a 100-million records according to our preliminary analysis. These individuals must be probabilistically linked with databases from the Unified Health System (SUS), such as hospitalization (SIH), notifiable diseases (SINAN), mortality (SIM), live births (SINASC), to produce data marts (domain-specific data) to the proposed studies. Within this cooperation, our first goal was to design and evaluate probabilistic methods to routine link the cohort, PBF, and SUS outcomes. Approach We implemented two probabilistic linkage methods: a full probabilistic, based on the Dice similarity (Sorensen index) of Bloom filters; and an hybrid approach, based on rules to deterministic and probabilistic matching. We performed linkages involving CADU (2011 extraction) and SUS outcomes (SIH, SINAN, and SIM) with samples from 3 states (Sergipe, Santa Catarina and Bahia) with an increasing size (from 1,447,512 to 12,036,010). Results Using a Dice between 0.90 and 0.92, our methods retrieved more than 95% of true positive pairs amongst the linked pairs. For Sergipe, we obtained as : , , , respectively for SIH, SINAN, and SIM. For Bahia: , , . Another linkage between CADU (1,447,512 records) and SINAN (624 records), for tuberculosis in Sergipe, returned 397 (full probabilistic) and 311 (hybrid) linked pairs, being 306 and 300 true positives. Another execution considering CADU (1,988,599 records) and SINAN (2,094 records), for tuberculosis in Santa Catarina, returned 791 (full probabilistic) and 500 (hybrid) linked pairs, with 667 and 472 true positives. Linking CADU (1.685,697 records) and SIM, for mortality of children under-4, returned 18 linked pairs, all of them true positives, for a Dice between 0.90 and 0.92 and with 100% of sensitivity, specificity, and positive predictive value. Conclusion Due to the absence of gold standards, we use samples with increasing sizes and manual review when adequate. Our results are quite accurate, although obtained with an unique extraction of CADU. We are starting to run linkages with the entire cohort.
Published: 2017
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17. Cinema and Language: perceptual and cognitive changes

Author: Robespierre de Oliveira and Angélica Antonechen Colombo
Subjects: Cinema. Percepção. Cognição. Linguagem., Photography, TR1-1050, Communication. Mass media, P87-96
Abstract: The present study has aimed to investigate the emergence of film language and aesthetic character of the film and how their characteristics influence the forms of artistic apprehension by society, as a result of seeking the idea that this film aesthetic experience transformed the perception of the viewers. Christian Metz and his theory of language in the film were chosen as the theoretical framework, and as methodology we used bibliographic research.
Published: 2014
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18. Association of the Waist-to-Height Ratio with Cardiovascular Risk Factors in Children and Adolescents: The Three Cities Heart Study

Author: Robespierre C Ribeiro, Mário Coutinho, Marco A Bramorski, Isabela C. Giuliano, and Júlia Pavan
Subjects: Anthropometry, Cardiovascular risk factors, Multicenter study, Obesity, Pediatrics, Brazil, Medicine
Abstract: Objectives: To determine the best anthropometric index in relation tocardiovascular disease risk factors among children and adolescents.Methods: This cross-sectional school-based study was conductedamong a random sample of 3179 students, aged 6 to 18 years, in threelarge cities in Brazil.Results: The prevalence of overweight and obesity was 10% and 5%,respectively. In relation to the students in the lower quartile (Q1) of thedistribution of subscapular skinfold, the students in the upper quartile(Q4) presented a 2.0 times higher risk (odds ratio) of having elevatedtotal cholesterol levels. Overweight and obese students had a 3.3 timeshigher risk of having elevated systolic blood pressure, and a 1.9 timeshigher risk of elevated diastolic blood pressure than other students.The less active students presented a 1.58 times higher risk of havingwaist-to-height ratio (WHtR) above the upper tertile (Q3). WHtR meanvalues was 0.46 (SE 0.00) presented the largest area under the curve(AUC) [0.613 (CI995%:0.578-0.647)] for high total cholesterol levels,[0.546 (CI995%: 0.515-0.578)] for low HDL-C levels, and [0.614(CI95%: 0.577-0.651)] for high LDL-C levels, while body mass indexpresented the largest AUC [0.669 (CI95%: 0.64-0.699)] for increaseddiastolic blood pressure followed by the waist circumference for increasedsystolic blood pressure [0.761 (CI95%: 0.735-0.787)].Conclusions: WHtR is considered as a simple and accurate anthropometricparameter that identifies youth with cardiovascular risk factors.In this study, WHtR above 0.44 was indicative of risk factors inchildren and adolescents. These findings can be applied in future preventivestrategies against CVDs, and screening programs.
Published: 2010

19. Fatores adicionais de risco cardiovascular associados ao excesso de peso em crianças e adolescentes: o estudo do coração de Belo Horizonte Additional cardiovascular risk factors associated with excess weigth in children and adolescents: the Belo Horizonte heart study

Author: Robespierre Q. C. Ribeiro, Paulo A. Lotufo, Joel A. Lamounier, Reynaldo G. Oliveira, José Francisco Soares, and Denise Aparecida Botter
Subjects: Obesidade, pressão arterial, atividade física, nutrição, criança, adolescente, Obesity, blood pressure, motor activity, nutrition, child, adolescent, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: OBJETIVO: Examinar a associação de sobrepeso e obesidade com perfis de atividade física, pressão arterial (PA) e lípides séricos. MÉTODOS: Inquérito epidemiológico com 1.450 estudantes - seis a dezoito anos, em Belo Horizonte-MG. Dados: peso, altura, PA, espessura de pregas cutâneas, circunferência das cinturas, atividade física, colesterol total (CT), LDL-c, HDL-c, e hábitos alimentares. RESULTADOS:Prevalências de sobrepeso e obesidade foram 8,4% e 3,1%. Em relação aos estudantes situados no quartil inferior (Q1) da distribuição da prega subescapular, os estudantes do quartil superior (Q4) apresentaram um risco (odds ratio) 3,7 vezes maior de ter um CT aumentado. Os estudantes com sobrepeso e obesos tiveram 3,6 vezes mais risco de apresentar PA sistólica aumentada, e 2,7 vezes para PA diastólica aumentada, em relação aos estudantes com peso normal. Os estudantes menos ativos, no Q1 da distribuição de MET, apresentaram 3,8 vezes mais riscos de terem CT aumentado comparados com os mais ativos (Q4). CONCLUSÃO: Estudantes com sobrepeso ou obesos ou nos quartis superiores para outras variáveis de adiposidade, assim como os estudantes com baixos níveis de atividade física ou sedentários apresentaram níveis mais elevados de PA e perfil lipídico de risco aumentado para o desenvolvimento de aterosclerose.OBJECTIVE: To examine the association of overweight and obesity with physical activity, blood pressure (BP) and serum lipid profiles. METHODS: Epidemiologic investigation of 1,450 students, between the ages of 6 and 18, in the city of Belo Horizonte, MG. Data: weight, height, BP, skinfold thickness, waist circumference, physical activity, total cholesterol (TC), LDL-c, HDL-c, and dietary habits. RESULTS: The prevalence rates for overweight and obesity were 8.4% and 3.1%, respectively. In relation to the students in the lower quartile (Q1) of the distribution of subscapular skinfold, the students in the upper quartile (Q4) presented a 3.7 times higher risk (odds ratio) of having elevated TC levels. Overweight and obese students had a 3.6 times higher risk of having elevated systolic blood pressure, and a 2.7 times higher risk of elevated diastolic blood pressure when compared to normal weight students. The less active students in the Q1 of distribution of MET presented a 3.8 times higher risk of having elevated TC levels compared to those who were more active (Q4). CONCLUSION: Students who were overweight, obese or in the upper quartiles for other adiposity variables, as well as students with low levels of physical activity or a sedentary lifestyle presented higher blood pressure levels and a lipid profile indicative of an increased risk of developing atherosclerosis.
Published: 2006
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20. Lípides séricos em crianças e adolescentes de Florianópolis, SC: Estudo Floripa saudável 2040 Serum lipids in school kids and adolescents from Florianópolis, SC, Brazil: Healthy Floripa 2040 study

Author: Isabela de Carlos Back Giuliano, Mário Sérgio Soares de Azeredo Coutinho, Sérgio Fernando Torres de Freitas, Maria Marlene de Souza Pires, João Nilson Zunino, and Robespierre Queiroz da Costa Ribeiro
Subjects: criança, adolescente, lípides, aterosclerose, fatores de risco, child, adolescent, lipids, atherosclerosis, risk factors, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: OBJETIVO: Determinar a distribuição dos lipídeos séricos em crianças e adolescentes de Florianópolis, SC. Determinar a associação entre colesterol não-desejável (>170 mg/dL) e outros fatores de risco para aterosclerose. MÉTODOS: Amostra aleatória estratificada (por idade e tipo de escola) de alunos da rede escolar de Florianópolis. Dados sobre fatores de risco, antropometria, pressão arterial e concentração sérica de lípides foram coletados. RESULTADOS: Participaram 1.053 indivíduos com idade entre 7 e 18 anos. A concentração sérica do colesterol (média±DP) foi 162±28 mg/dL; dos triglicerídeos 93±47 mg/dL; do HDL-colesterol 53±10 mg/dL; do LDL-colesterol 92±24 mg/dL e do colesterol não-HDL 109± 26 mg/dL. As médias das relações CT/HDL e LDL/HDL foram, respectivamente, 3,1±0,6 e 1,8±0,5. Os lípides foram mais elevados nas crianças de escola privada, nos menores de 10 anos, no sexo feminino e nos de cor negra. O modelo de regressão logística que melhor previu os níveis de colesterol anormal incluía: obesidade, história familiar de acidente vascular cerebral ou infarto do miocárdio, sexo feminino, idade inferior a 10 anos e a imagem corporal definida pelo médico como sobrepeso/obesidade. CONCLUSÃO: As concentrações de lipídeos em crianças e adolescentes mostraram valores intermediários quando comparados a estudos semelhantes. Uma grande parcela dos indivíduos apresenta níveis de colesterol sérico classificados como não-desejáveis para idade. Pela significância da associação do colesterol com o excesso de peso, o controle deste fator na infância deve ser tomado como prioridade nos programas de prevenção primordial com o objetivo de reduzir a incidência das doenças relacionadas à aterosclerose na idade adulta.OBJECTIVE: To determine the distribution of serum lipids in children and adolescents of Florianopolis, Santa Catarina State, Brazil. To determine the association between undesirable levels for total cholesterol (>170 mg/dL) and others coronary heart disease risks factors. METHODS: A questionnaire, physical examination and blood analyses were collected from randomized sample from school kids aged range from 7 to 18 years old. RESULTS: 1,053 students participated, aged between 7 and 18 years old. They presented a total cholesterol mean of 162±28 mg/dl, triglyceride mean of 93±47 mg/dl, HDL-cholesterol mean of 53±10 mg/dl, LDL-cholesterol mean of 92±24 mg/dl and non-HDL cholesterol mean of 109±26 mg/dl. The TC/HDL and LDL/HDL mean rates were, respectively, 3.1±0.6 and 1.8±0.5. Findings showed that private school children, 10 years old or less, girls and black children had higher lipids values. Overall findings suggest that the best logistic regression model which explained abnormal total cholesterol levels included: obesity, stroke and heart attack familial history, feminine gender, age of 10 years old or less and overweight body image determined on inspection. CONCLUSION: In comparison to international literature, our results, showed intermediated total cholesterol, lower LDL-cholesterol and non-HDL-cholesterol and higher HDL-cholesterol. Therefore, primary prevention programs are needed to be carrying out, especially among overweight children and adolescents so to prevent ischemic heart disease as adulthood.
Published: 2005
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21. Prediction of Maximum Story Drift of MDOF Structures under Simulated Wind Loads Using Artificial Neural Networks

Author: Omar Payán-Serrano, Edén Bojórquez, Juan Bojórquez, Robespierre Chávez, Alfredo Reyes-Salazar, Manuel Barraza, Arturo López-Barraza, Héctor Rodríguez-Lozoya, and Edgar Corona
Subjects: dynamic analysis, wind simulation, artificial neural networks, parallel computing, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract: The aim of this paper is to investigate the prediction of maximum story drift of Multi-Degree of Freedom (MDOF) structures subjected to dynamics wind load using Artificial Neural Networks (ANNs) through the combination of several structural and turbulent wind parameters. The maximum story drift of 1600 MDOF structures under 16 simulated wind conditions are computed with the purpose of generating the data set for the networks training with the Levenberg–Marquardt method. The Shinozuka and Newmark methods are used to simulate the turbulent wind and dynamic response, respectively. In order to optimize the computational time required for the dynamic analyses, an array format based on the Shinozuka method is presented to perform the parallel computing. Finally, it is observed that the already trained ANNs allow for predicting adequately the maximum story drift with a correlation close to 99%.
Published: 2017
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22. Cinema e Linguagem: as transformações perceptivas e cognitivas.

Author: Robespierre de Oliveira and Angélica Antonechen Colombo
Subjects: Percepção. Cognição. Linguagem., Photography, TR1-1050, Communication. Mass media, P87-96
Abstract: O presente estudo apresenta como objetivo a investigação do surgimento da linguagem cinematográfica como caráter estético do cinema e de como as suas características influenciaram nas formas de apreensão artística pela sociedade, buscando como resultado a ideia de que essa experiência estética cinematográfica ransformou a percepção dos espectadores. Christian Metz e sua teoria sobre a linguagem no cinema foram escolhidos como fundamentação teórica e, como etodologia, utilizamos a pesquisa bibliográfica.
Published: 2014

23. Cardiologista: um Prometeu acorrentado El cardiólogo: un prometeo encadenado The cardiologist: a chained Prometheus

Author: Robespierre Queiroz da Costa Ribeiro
Subjects: Artículo histórico, enfermedades cardiovasculares, biotecnología, análisis costo-beneficio, Artigo histórico, doenças cardiovasculares, biotecnologia, análise custo-benefício, Historical article, cardiovascular diseases, biotechnology, cost-benefit analysis, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Esta reflexão crítica discute os descaminhos do modelo hegemônico flexineriano da prática médica, realizada sob a ótica da paleomedicina, e evidências relevantes oriundas de pesquisas. Se por um lado possuímos um conhecimento preciso e suficiente sobre a carga de doenças que afligem a humanidade e seus determinantes, por outro lado a atenção volta-se para estratégias que não causam impacto de forma efetiva em tais doenças, consumindo um volume maior de recursos destinados à saúde: doenças cardiovasculares isquêmicas seguidas pelo diabete melito II. Seus fatores de risco são bem conhecidos e comprovadamente controláveis através de ações de promoção da saúde, que constituem uma tecnologia de processo mais custo-efetiva do que a biotecnologia. Entretanto, opta-se por aplicar grande parte dos recursos financeiros na assistência ao indivíduo já enfermo em detrimento da promoção da saúde da população, que prescinde então deste benefício, determinando uma iniquidade nas ações de saúde.Esta reflexión crítica discute los extravíos del modelo hegemónico flexineriano de la práctica médica, realizada bajo la óptica de la paleomedicina, y evidencias relevantes oriundas de investigaciones. Si por un lado poseemos un conocimiento preciso y suficiente sobre la carga de enfermedades que afligen a la humanidad y sus determinantes, por otro lado la atención se vuelca hacia estrategias que no causan impacto de forma efectiva en tales enfermedades, consumiendo un volumen mayor de recursos destinados a la salud: enfermedades cardiovasculares isquémicas seguidas por diabetes mellitus II. Sus factores de riesgo son bien conocidos y comprobadamente controlables a través de acciones de promoción de la salud, que constituyen una tecnología de proceso más costo-efectiva que la biotecnología. Entre tanto, se opta por aplicar gran parte de los recursos financieros en la asistencia al individuo ya enfermo en detrimento de la promoción de la salud de la población, que prescinde entonces de este beneficio, determinando una iniquidad en las acciones de salud.This critical review discusses the deviations from the Flexnerian hegemonic model of medical practice, carried out under the point of view of paleomedicine and relevant evidence from research. If we, on the one hand, have the required and sufficient knowledge on the burden of diseases that afflict mankind and its determinant factors, on the other hand the attention turns to strategies that do not have an effective impact on such diseases, consuming a larger portion of resources directed to healthcare: ischemic cardiovascular diseases, followed by type 2 diabetes mellitus. Their risk factors are well-known and have been shown to be controllable through health promotion actions, which constitute a process technology that is more cost-effective than biotechnology. However, we choose to apply large part of the financial resources on the care of the affected individual to the detriment of health promotion in the general population, who goes without this benefit, which characterizes an injustice in terms of healthcare actions.
Published: 2010

24. A ground motion intensity measure based on different spectral-shape types to predict nonlinear structural response in steel buildings

Author: Baca, Victor, Valenzuela-Beltrán, Federico, Chávez, Robespierre, Bojórquez, Edén, Reyes-Salazar, Alfredo, and Bojórquez, Juan
Published: 2024
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25. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Author: Phelps, Nowell H, Singleton, Rosie K, Zhou, Bin, Heap, Rachel A, Mishra, Anu, Bennett, James E, Paciorek, Christopher J, Lhoste, Victor PF, Carrillo-Larco, Rodrigo M, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Bixby, Honor, Bentham, James, Di Cesare, Mariachiara, Danaei, Goodarz, Rayner, Archie W, Barradas-Pires, Ana, Cowan, Melanie J, Savin, Stefan, Riley, Leanne M, Aguilar-Salinas, Carlos A, Baker, Jennifer L, Barkat, Amina, Bhutta, Zulfiqar A, Branca, Francesco, Caixeta, Roberta B, Cuschieri, Sarah, Farzadfar, Farshad, Ganapathy, Shubash, Ikeda, Nayu, Iotova, Violeta, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Lin, Hsien-Ho, Ma, Jun, Mbanya, Jean Claude N, Miranda, J Jaime, Pradeepa, Rajendra, Rodríguez-Artalejo, Fernando, Sorić, Maroje, Turley, Maria, Wang, Limin, Webster-Kerr, Karen, Aarestrup, Julie, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Abubakar Garba, Jamila, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J, Adu-Afarwuah, Seth, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Ågren, Åsa, Aguenaou, Hassan, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lahou, Badreya, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Al Qaoud, Nawal M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A, Alexius, Sylvia, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkerwi, Ala'a, Alkhatib, Buthaina M, Allin, Kristine, Alomary, Shaker A, Alomirah, Husam F, Alshangiti, Arwa M, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amoah, John, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assefa, Nega, Aspelund, Thor, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Aung, May Soe, Aurélio de Valois, Correia Júnior Marco, Auvinen, Juha, Avdičová, Mária, Avi, Shina, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Babu, Bontha V, Bacopoulou, Flora, Bæksgaard Jørgensen, Maja, Baharudin, Azli, Bahijri, Suhad, Bajramovic, Izet, Bakacs, Marta, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Banegas, José R, Baran, Joanna, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barreto, Marta, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz, Bata, Iqbal, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berhane, Yemane, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Berrios Carrasola, Ximena, Bettiol, Heloísa, Beutel, Manfred E, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Biasch, Katia, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Anne A, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Blychfeld Magnazu, Moran, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boer, Jolanda MA, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Botomba, Steve, Bourne, Rupert RA, Bovet, Pascal, Boymatova, Khadichamo, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Braithwaite, Tasanee, Brajkovich, Imperia, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brophy, Sinead, Brug, Johannes, Bruno, Graziella, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de León, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula c, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajús, José A, Casanueva, Felipe F, Casas, Maribel, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Angelique, Chan, Queenie, Charchar, Fadi J, Charles, Marie-Aline, Chaturvedi, Himanshu K, Chaturvedi, Nish, Che Abdul Rahim, Norsyamlina, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Cojocaru, Cosmin R, Colorado-Yohar, Sandra, Compañ-Gabucio, Laura-María, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Coppinger, Tara C, Corpeleijn, Eva, Cortés, Lilia Yadira, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Csányi, Tamás, Csilla, Semánová, Cucu, Alexandra M, Cui, Liufu, Cureau, Felipe V, Czenczek-Lewandowska, Ewelina, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva, Alanna G, Dacica, Liliana, Dahm, Christina C, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Dankner, Rachel, Dantoft, Thomas M, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Backer, Guy, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, De Neve, Jan-Walter, Duarte de Oliveira, Paula, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R, de Sá, Ana Carolina MGN, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent Jr, Delisle, Hélène, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Dereń, Katarzyna, Deschamps, Valérie, Devrishov, Ruslan D, Dhimal, Meghnath, Di Castelnuovo, Augusto, Dias-da-Costa, Juvenal Soares, Díaz-Sánchez, María Elena, Diaz, Alejandro, Díaz Fernández, Pedro, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha TP, Dobson, Annette J, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Dong, Yanhui, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Dörr, Marcus, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duan, Jia Li, Duante, Charmaine A, Duboz, Priscilla, Duleva, Vesselka L, Dulskiene, Virginija, Dumith, Samuel C, Dushpanova, Anar, Dwyer, Terence, Dyussupova, Azhar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ammari, Laila, El Ati, Jalila, Eldemire-Shearer, Denise, Elliott, Paul, Enang, Ofem, Endevelt, Ronit, Engle-Stone, Reina, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Evans, Roger G, Faeh, David, Fagherazzi, Guy, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farrugia Sant'Angelo, Victoria, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Fawzi, Wafaie W, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Gerson, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferreira, Haroldo S, Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, 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Published: 2024
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26. Comparison between the Dynamic Responses of Steel Buildings with Medium and Deep Columns under Several Seismic Intensities

Author: Valenzuela-Beltrán, Federico, primary, Llanes-Tizoc, Mario D., additional, Bojorquez, Eden, additional, Bojorquez, Juan, additional, Leal-Graciano, J. M., additional, Baca, Victor, additional, Chavez, Robespierre, additional, and Reyes-Salazar, Alfredo, additional
Published: 2024
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27. Leptin improves in-vitro maturation of goat oocytes through MAPK and JAK2/STAT3 pathways and affects gene expression of cumulus cells

Author: Costa, Joana Amélia de Senna, Cezar, Guilherme Arruda, Monteiro, Pedro Leopoldo Jerônimo, Silva, Diogo Manoel Farias, Araújo Silva, Robespierre Augusto Joaquim, Bartolomeu, Cláudio Coutinho, Santos Filho, Antônio Santana dos, Wischral, Aurea, and Batista, André Mariano
Published: 2022
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28. Diluent Containing Dimethylformamide Added With Sucrose Improves In Vitro Quality After Freezing/Thawing Stallion Sperm

Author: Moura, Thalles C.M., Arruda, Lúcia C.P., Araújo Silva, Robespierre A.J., Silva, Raquel P.F., Oliveira, Aline S., Tobal, Lucas F.M., Batista, André M., Carneiro, Gustavo F., and Guerra, Maria M.P.
Published: 2022
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29. OPTIMAL INELASTIC DESIGN OF REINFORCED CONCRETE FRAMES WITH BUCKLING RESTRAINED BRACES

Author: Leyva Madrigal, Herian, primary, Bojórquez Mora, Edén, additional, Bojórquez Mora, Juan, additional, Carvajal Soto, Joel, additional, Reyes Salazar, Alfredo, additional, Silva González, Francisco, additional, Chávez, Robespierre, additional, and Serrano, Juan, additional
Published: 2024
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30. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

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Kromhout, Daan, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M, Kulaga, Zbigniew, Kumar, R Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S, Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le, Tuyen D, Lee, Jeannette, Lee, Jeonghee, Lehmann, Nils, Lehtimäki, Terho, Lemogoum, Daniel, Levitt, Naomi S, Li, Yanping, Lilly, Christa L, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lo, Wei-Cheng, Loit, Helle-Mai, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A, Lozano, José Eugenio, Lukačević Lovrenčić, Iva, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lustigová, Michala, Luszczki, Edyta, Ma, Guansheng, Ma, Jun, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Macieira, Luisa M, Madar, Ahmed A, Maggi, Stefania, Magliano, Dianna J, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Mallikharjuna Rao, Kodavanti, Malyutina, Sofia K, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Marcil, Anie, Mårild, Staffan B, Marinović Glavić, Mihalea, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Mascarenhas, Luis P, Matasin, Marija, Mathiesen, Ellisiv B, Mathur, Prashant, Matijasevich, Alicia, Matlosz, Piotr, Matsha, Tandi E, Mavrogianni, Christina, Mbanya, Jean Claude N, Mc Donald Posso, Anselmo J, McFarlane, Shelly R, McGarvey, Stephen T, McLachlan, Stela, McLean, Rachael M, McLean, Scott B, McNulty, Breige A, Mediene Benchekor, Sounnia, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisinger, Christa, Mendoza Montano, Carlos, Menezes, Ana Maria B, Menon, Geetha R, Mereke, Alibek, Meshram, Indrapal I, Metspalu, Andres, Meyer, Haakon E, Mi, Jie, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C, Minderico, Cláudia S, Mini, GK, Mirjalili, Mohammad Reza, Mirrakhimov, Erkin, Mišigoj-Duraković, Marjeta, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K, Mohamed, Shukri F, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Møllehave, Line T, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muhihi, Alfa J, Muiesan, Maria L, Müller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musa, Kamarul Imran, Musić Milanović, Sanja, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M, Najafi, Farid, Nakamura, Harunobu, Námešná, Jana, Nang, Ei Ei K, Nangia, Vinay B, Narake, Sameer, Ndiaye, Ndeye Coumba, Neal, William A, Nejatizadeh, Azim, Nenko, Ilona, Neovius, Martin, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang V, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Niiranen, Teemu J, Nikitin, Yury P, Ninomiya, Toshiharu, Nishtar, Sania, Njelekela, Marina A, Noale, Marianna, Noboa, Oscar A, Noorbala, Ahmad Ali, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Børge G, Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nunes, Baltazar, O'Neill, Terence W, O'Reilly, Dermot, Ochimana, Caleb, Oda, Eiji, Odili, Augustine N, Oh, Kyungwon, Ohara, Kumiko, Ohtsuka, Ryutaro, Olié, Valérie, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M, Ordunez, Pedro, Ornelas, Rui, Ortiz, Pedro J, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, Paiva, Karina Mary de, Pająk, Andrzej, Palli, Domenico, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Panza, Francesco, Paoli, Mariela, Papandreou, Dimitrios, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pasquet, Patrick, Patel, Nikhil D, Pavlyshyn, Halyna, Pećin, Ivan, Pednekar, Mangesh S, Pedro, João M, Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Karen GDA, Peres, Marco A, Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Pham, Son Thai, Pichardo, Rafael N, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia n, Plans-Rubió, Pedro, Polašek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Price, Jacqueline F, Providencia, Rui, Puhakka, Soile E, Puiu, Maria, Punab, Margus, Qasrawi, Radwan F, Qorbani, Mostafa, Queiroz, Daniel, Quoc Bao, Tran, Radić, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M, Ramachandra Rao, Sudha, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A, Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M, Regecová, Valéria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, Rinke de Wit, Tobias F, Ritti-Dias, Raphael M, Robitaille, Cynthia, Rodríguez-Artalejo, Fernando, Rodriguez-Perez, María del Cristo, Rodríguez-Villamizar, Laura A, Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L, Rosengren, Annika, Roy, Joel GR, Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Rusakova, Iuliia A, Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Sakarya, Sibel, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Sánchez-Abanto, Jose, Sans, Susana, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Rute, Saramies, Jouko L, Sardinha, Luis B, Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E, Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Servais, Jennifer, Shalnova, Svetlana A, Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöström, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugène, Söderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Sørgjerd, Elin P, Sorić, Maroje, Sossa Jérome, Charles, Soumaré, Aïcha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A, Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stieber, Jutta, Stöckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G, Syddall, Holly E, Sylva, René Charles, Szklo, Moyses, Tai, E Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B, Taylor, Anne, Taylor, Julie, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thinggaard, Mikael, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H, Timmermans, Erik J, Tjandrarini, Dwi H, Tjonneland, Anne, Toft, Ulla, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Tormo, María José, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu MT, Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, van Zutphen, Elisabeth M, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, WM Monique, Verstraeten, Roosmarijn, Victora, Cesar G, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Emmanuel A, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C, Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O, Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zapata, Maria Elisa, Zaw, Ko Ko, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, and Ezzati, Majid
Published: 2021
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31. Structural reliability of reinforced concrete buildings under earthquakes and corrosion effects

Author: Bojórquez, Juan, Ponce, Sandra, Ruiz, Sonia E., Bojórquez, Edén, Reyes-Salazar, Alfredo, Barraza, Manuel, Chávez, Robespierre, Valenzuela, Federico, Leyva, Herian, and Baca, Victor
Published: 2021
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32. K-Fact: Using the Frequency Factor for Clustering Categorical Data.

Author: Robespierre Pita, Gabriela Borges, Nivea Bispo, Daniela Almeida, Rosemeire Fiaccone, and Marcos E. Barreto
Published: 2019
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33. Reliability analysis of steel buildings considering the flexibility of the connections of the GFs

Author: Llanes-Tizoc, Mario D., Reyes-Salazar, Alfredo, Ruiz, Sonia E., Valenzuela-Beltrán, Federico, Bojorquez, Edén, and Chávez, Robespierre
Published: 2020
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34. Ground motion selection for the evaluation of residual inter-story drifts in moment-resisting reinforced concrete frame buildings

Author: Valenzuela-Beltrán, Federico, Reyes-Salazar, Alfredo, Bojórquez, Edén, Chávez, Robespierre, Bojórquez, Juan, and Llanes-Tizoc, Mario D.
Published: 2020
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35. Trends in cardiometabolic risk factors in the Americas between 1980 and 2014: a pooled analysis of population-based surveys

Author: Miranda, J Jaime, Carrillo-Larco, Rodrigo M, Ferreccio, Catterina, Hambleton, Ian R, Lotufo, Paulo A, Nieto-MartSínez, Ramfis, Zhou, Bin, Bentham, James, Bixby, Honor, Hajifathalian, Kaveh, Lu, Yuan, Taddei, Cristina, Abarca-Gómez, Leandra, Acosta-Cazares, Benjamin, Aguilar-Salinas, Carlos A, Andrade, Dolores S, Assunção, Maria Cecília F, Barceló, Alberto, Barros, Aluisio JD, Barros, Mauro VG, Bastos, Joao Luiz D, Bata, Iqbal, Batista, Rosangela L, Benet, Mikhail, Bernabe-Ortiz, Antonio, Bettiol, Heloísa, Bia, Daniel, Bloch, Katia V, Boggia, Jose G, Boissonnet, Carlos P, Brajkovich, Imperia, Brewster, Lizzy M, Cameron, Christine, Cândido, Ana Paula C, Cañete, Felicia, Cardoso, Viviane C, Carmuega, Esteban, Cesar, Juraci A, Chan, Queenie, Christofaro, Diego G, Clarke, Janine, Confortin, Susana C, Craig, Cora L, Cureau, Felipe V, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Donoso, Silvana C, d'Orsi, Eleonora, Duarte de Oliveira, Paula, Dumith, Samuel C, Eldemire-Shearer, Denise, Elliott, Paul, Escobedo-de la Peña, Jorge, Ferguson, Trevor S, Fernandes, Romulo A, Ferrante, Daniel, Francis, Damian K, Fuchs, Flavio D, Fuchs, Sandra C, Gazzinelli, Andrea, Goltzman, David, Gonçalves, Helen, Goncalves Cordeiro da Silva, Bruna, Gonzalez, Angel R, Gonzalez-Chica, David A, González-Leon, Margot, González-Rivas, Juan P, González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gorbea Bonet, Mariano, Gregor, Ronald D, Guerrero, Ramiro, Guimaraes, Andre L, Gulliford, Martin C, Gutierrez, Laura, Hernandez Cadena, Leticia, Herrera, Victor M, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Howitt, Christina, Irazola, Vilma E, James, Kenneth, Jimenez, Ramon O, Jiménez-Acosta, Santa Magaly, Joffres, Michel, Kolsteren, Patrick, Landrove, Orlando, Lazo-Porras, Maria, Lilly, Christa L, Lima-Costa, M Fernanada, Lopez, Tania, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Makdisse, Marcia, Margozzini, Paula, Marques, Larissa Pruner, Martorell, Reynaldo, Mascarenhas, Luis, Matijasevich, Alicia, Mc Donald Posso, Anselmo J, McFarlane, Shelly R, McLean, Scott B, Menezes, Ana Maria B, Miquel, Juan Francisco, Monroy-Valle, Michele, Monterrubio, Eric A, Monterubio Flores, Eric, Moreira, Leila B, Morejon, Alain, Morin, Suzanne N, Motta, Jorge, Neal, William A, Nervi, Flavio, Nieto-Martínez, Ramfis E, Noboa, Oscar A, Ochoa-Avilés, Angélica M, Olinto Anselmo, Maria Teresa, Oliveira, Isabel O, Ono, Lariane M, Ordunez, Pedro, Ortiz, Ana Paula C, Ortiz, Pedro J, Otero, Johanna A, Palloni, Alberto, Peixoto, Sergio Viana, Pereira, Alexandre C, Peres, Marco A, Pérez, Cynthia M, Pichardo, Rafael N, Rangel Reina, Daniel A, Rascon-Pacheco, Ramon A, Revilla, Luis, Ribeiro, Robespierre, Ritti-Dias, Raphael M, Rivera, Juan A, Robitaille, Cynthia, Rodríguez-Villamizar, Laura A, Rojas-Martinez, Rosalba, Roy, Joel GR, Rubinstein, Adolfo, Ruiz-Betancourt, Blanca Sandra, Salazar Martinez, Eduardo, Sánchez-Abanto, Jose, Santos, Ina S, Silva, Diego Augusto Santos, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schargrodsky, Herman, Sequera, Victor, Servais, Jennifer, Silva, Antonio M, Soto-Rojas, Victoria E, Sparrenberger, Karen, Stein, Aryeh D, Suárez-Medina, Ramón, Szklo, Moyses, Tebar, William R, Tello, Tania, Tulloch-Reid, Marshall K, Ueda, Peter, Ugel, Eunice, Valdivia, Gonzalo, Velasquez-Melendez, Gustavo, Verstraeten, Roosmarijn, Victora, Cesar G, Wanderley Jr, Rildo S, Wang, Ming-Dong, Wilks, Rainford J, Wong-McClure, Roy A, Younger-Coleman, Novie O, Zapata, Maria Elisa, Zocalo, Yanina, Zuñiga Cisneros, Julio, Danaei, Goodarz, Stevens, Gretchen A, Riley, Leanne M, Ezzati, Majid, and Di Cesare, Mariachiara
Published: 2020
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36. Applying Term Frequency-Based Indexing to Improve Scalability and Accuracy of Probabilistic Data Linkage.

Author: Robespierre Pita, Luan Menezes, and Marcos E. Barreto
Published: 2018

37. Na+, K+-ATPase in ram sperm – Its importance for kinematics, localisation and expression on the sperm surface

Author: de Oliveira, Aline Saraiva, Câmara, Diogo Ribeiro, Batista, André Mariano, Silva, Robespierre Augusto Joaquim Araújo, Arruda, Lúcia Cristina Pereira, Monteiro, Millena Maria, Costa, Joana Amélia de Senna, and Guerra, Maria Madalena Pessoa
Published: 2019
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38. National data linkage assessment of live births and deaths in Mexico: Estimating under‐five mortality rate ratios for vulnerable newborns and trends from 2008 to 2019

Author: Lorena Suárez‐Idueta, Robespierre Pita, Hannah Blencowe, Arturo Barranco, Jesus F. Gonzalez, Enny S. Paixao, Mauricio L. Barreto, Joy E. Lawn, and Eric O. Ohuma
Subjects: Epidemiology, Pediatrics, Perinatology and Child Health
Published: 2023

39. Probabilistic Integration of Large Brazilian Socioeconomic and Clinical Databases.

Author: Clícia Pinto, Robespierre Pita, George Caique Gouveia Barbosa, Bruno Araújo, Juracy Bertoldo, Samila Sena, Sandra Reis, Rosemeire Fiaccone, Leila Amorim, Maria Yuri Ichihara, Mauricio Barreto, Marcos Barreto 0001, and Spiros C. Denaxas
Published: 2017
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40. A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage.

Author: Robespierre Pita, Everton Mendonça, Sandra Reis, Marcos Barreto 0001, and Spiros C. Denaxas
Published: 2017
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41. A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage

Author: Pita, Robespierre, Mendonça, Everton, Reis, Sandra, Barreto, Marcos, Denaxas, Spiros, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bellatreche, Ladjel, editor, and Chakravarthy, Sharma, editor
Published: 2017
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42. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

Author: Abarca-Gómez, Leandra, Abdeen, Ziad A, Hamid, Zargar Abdul, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Acuin, Cecilia, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, Akhtaeva, Nazgul, Al-Hazzaa, Hazzaa M, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Al Buhairan, Fadia, Al Dhukair, Shahla, Ali, Mohamed M, Ali, Osman, Alkerwi, Ala'a, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A, Andrade, Dolores S, Ängquist, Lars H, Anjana, Ranjit Mohan, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assunção, Maria Cecília F, Aung, May Soe, Avdicová, Mária, Azevedo, Ana, Azizi, Fereidoun, Babu, Bontha V, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Barbagallo, Carlo M, Barceló, Alberto, Barkat, Amina, Barros, Aluisio JD, Barros, Mauro VG, Bata, Iqbal, Batieha, Anwar M, Batista, Rosangela L, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Romdhane, Habiba Ben, Benedics, Judith, Benet, Mikhail, Bennett, James E, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bhatti, Zaid, Bhutta, Zulfiqar A, Bi, Hongsheng, Bi, Yufang, Biehl, Anna, Bikbov, Mukharram, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boeing, Heiner, Boggia, Jose G, Boissonnet, Carlos P, Bonaccio, Marialaura, Bongard, Vanina, Bovet, Pascal, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Brinduse, Lacramioara, Bruno, Graziella, Bueno-de-Mesquita, H B(as), Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, de León, Antonio Cabrera, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula C, Capanzana, Mario, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Carvalho, Maria J, Casanueva, Felipe F, Casas, Juan-Pablo, Caserta, Carmelo A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nishi, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Cho, Belong, Cho, Yumi, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cinteza, Eliza, Claessens, Frank, Clays, Els, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Cooper, Rachel, Coppinger, Tara C, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crujeiras, Ana B, Cucu, Alexandra, D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Danaei, Goodarz, Dankner, Rachel, Dantoft, Thomas M, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, Karin, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, Dehghan, Abbas, Delisle, Hélène, Delpeuch, Francis, Deschamps, Valérie, Dhana, Klodian, Di Castelnuovo, Augusto F, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Do, Ha TP, Dobson, Annette J, Donati, Maria Benedetta, Donfrancesco, Chiara, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Doua, Kouamelan, Drygas, Wojciech, Duan, Jia Li, Duante, Charmaine, Duleva, Vesselka, Dulskiene, Virginija, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Egbagbe, Eruke E, Eggertsen, Robert, Eiben, Gabriele, Ekelund, Ulf, El Ati, Jalila, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T, Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G, la Peña, Jorge Escobedo-de, Evans, Alun, Faeh, David, Fall, Caroline H, Sant'Angelo, Victoria Farrugia, Farzadfar, Farshad, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrieres, Jean, Finn, Joseph D, Fischer, Krista, Flores, Eric Monterubio, Föger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Forsner, Maria, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Franco, Oscar H, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Galeone, Daniela, Galvano, Fabio, Garcia-de-la-Hera, Manoli, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Geiger, 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Hambleton, Ian R, Hardy, Rebecca, Kumar, Rachakulla Hari, Hassapidou, Maria, Hata, Jun, Hayes, Alison J, He, Jiang, Heidinger-Felso, Regina, Heinen, Mirjam, Hendriks, Marleen Elisabeth, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Herrera, Victor M, Herter-Aeberli, Isabelle, Heshmat, Ramin, Hihtaniemi, Ilpo Tapani, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Hofman, Albert, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Petrescu, Constanta Huidumac, Huisman, Martijn, Husseini, Abdullatif, Huu, Chinh Nguyen, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Iannone, Anna G, Ibarluzea, Jesús M, Ibrahim, Mohsen M, Ikeda, Nayu, Ikram, M Arfan, Irazola, Vilma E, Islam, Muhammad, Ismail, Aziz al-Safi, Ivkovic, Vanja, Iwasaki, Masanori, Jackson, Rod T, Jacobs, Jeremy M, Jaddou, Hashem, Jafar, Tazeen, Jamil, 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McLean, Rachael M, McLean, Scott B, McNulty, Breige A, Yusof, Safiah Md, Mediene-Benchekor, Sounnia, Medzioniene, Jurate, Meirhaeghe, Aline, Meisfjord, Jørgen, Meisinger, Christa, Menezes, Ana Maria B, Menon, Geetha R, Mensink, Gert BM, Meshram, Indrapal I, Metspalu, Andres, Meyer, Haakon E, Mi, Jie, Michaelsen, Kim F, Michels, Nathalie, Mikkel, Kairit, Miller, Jody C, Minderico, Cláudia S, Miquel, Juan Francisco, Miranda, J Jaime, Mirkopoulou, Daphne, Mirrakhimov, Erkin, Mišigoj-Durakovic, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A, Mohamed, Mostafa K, Mohammad, Kazem, Mohammadifard, Noushin, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Molbo, Drude, Møllehave, Line T, Møller, Niels C, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monterrubio, Eric A, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mota, Jorge, Mota-Pinto, Anabela, Motlagh, Mohammad Esmaeel, Motta, Jorge, Mu, Thet Thet, Muc, Magdalena, Muiesan, Maria Lorenza, Müller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M, Musil, Vera, Nabipour, Iraj, Nagel, Gabriele, Naidu, Balkish M, Nakamura, Harunobu, Námešná, Jana, Nang, Ei Ei K, Nangia, Vinay B, Nankap, Martin, Narake, Sameer, Nardone, Paola, Navarrete-Muñoz, Eva Maria, Neal, William A, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Norat, Teresa, Norie, Sawada, Noto, Davide, Nsour, Mohannad Al, O'Reilly, Dermot, Obreja, Galina, Oda, Eiji, Oehlers, Glenn, Oh, Kyungwon, Ohara, Kumiko, Olafsson, Örn, Olinto, Maria Teresa Anselmo, Oliveira, Isabel O, Oltarzewski, Maciej, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Osler, Merete, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, Pajak, Andrzej, Palli, Domenico, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Panza, Francesco, Papandreou, Dimitrios, Park, Soon-Woo, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Patel, Nikhil D, Pecin, Ivan, Pednekar, Mangesh S, Peer, Nasheeta, Peeters, Petra H, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Perez-Farinos, Napoleon, Pérez, Cynthia M, Peters, Annette, Petkeviciene, Janina, Petrauskiene, Ausra, Peykari, Niloofar, Pham, Son Thai, Pierannunzio, Daniela, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Plans-Rubió, Pedro, Poh, Bee Koon, Pohlabeln, Hermann, Pop, Raluca M, Popovic, Stevo R, Porta, Miquel, Portegies, Marileen LP, Posch, Georg, Poulimeneas, Dimitrios, 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Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skovbjerg, Sine, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, Smith, Margaret C, Snijder, Marieke B, So, Hung-Kwan, Sobngwi, Eugène, Söderberg, Stefan, Soekatri, Moesijanti YE, Solfrizzi, Vincenzo, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Soric, Maroje, Jérome, Charles Sossa, Soumare, Aicha, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Starc, Gregor, Stathopoulou, Maria G, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stieber, Jutta, Stöckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Suárez-Medina, Ramón, Sun, Chien-An, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sy, Rody G, Szponar, Lucjan, Tai, E Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, 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Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lars, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Viikari-Juntura, Eira, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Völzke, Henry, Voutilainen, Sari, Vrijheid, Martine, Wade, Alisha N, Wagner, Aline, Waldhör, Thomas, Walton, Janette, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, Wanderley, Rildo S, Jr., Wang, Ming-Dong, Wang, Qian, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Weber, Adelheid, Wedderkopp, Niels, Weerasekera, Deepa, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wijga, Alet H, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Justin YY, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yamborisut, Uruwan, Yan, Weili, Yang, Xiaoguang, Yardim, Nazan, Ye, Xingwang, Yiallouros, Panayiotis K, Yngve, Agneta, Yoshihara, Akihiro, You, Qi Sheng, Younger-Coleman, Novie O, Yusoff, Faudzi, Yusoff, Muhammad Fadhli M, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zhussupov, Baurzhan, Zimmermann, Esther, Cisneros, Julio Zuñiga, Bentham, James, Di Cesare, Mariachiara, Bilano, Ver, Bixby, Honor, Zhou, Bin, Stevens, Gretchen A, Riley, Leanne M, Taddei, Cristina, Hajifathalian, Kaveh, Lu, Yuan, Savin, Stefan, Cowan, Melanie J, Paciorek, Christopher J, Kengne, Andre Pascal, Zhu, Aubrianna, and Ezzati, Majid
Published: 2017
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43. The University of Santo Tomas Hospital (USTH) 2022 Institutional Chest Pain Pathway: Approach to Diagnosis, Risk Stratification, and Management

Author: Jannah Lee Tarranza, Christine Joy Bongon, Maria Monica Valdez, John Paul Tiopianco, Alexander Reyes, John Patrick Ona, Don Robespierre Reyes, Marcellus Francis Ramirez, Aileen Cynthia De Lara, Clarissa Mendoza, Wilson Tan de Guzman, Manuel Zacarias, Eduardo S Caguioa, and Milagros Yamamoto
Abstract: This clinical pathway for the diagnosis and risk stratification of patients presenting with acute chest pain, including acute coronary syndromes, provides recommendations and algorithms for clinicians to diagnose, risk stratify, and manage acute chest pain in adult patients. The writing committee reviewed existing international and local guidelines. Modifications to the algorithm following face-to-face and virtual meetings resulted in expert decisions written as recommendations and presented in a flow diagram format. The USTH Chest Pain Pathway provides guidance based on current guidelines and recommendations on assessing and evaluating acute chest pain, tailored to local needs and institution-specific facilities. We recommend its use to ensure quality patient care in the hospital. Key Words: angina pectoris, acute chest pain, acute coronary syndrome, clinical decision pathway, diagnostic pathway, risk stratification, emergency care
Published: 2022

44. A simplified procedure to estimate peak drift demands for mid-rise steel and R/C frames under narrow-band motions in terms of the spectral-shape-based intensity measure INp

Author: Bojórquez, Edén, Baca, Victor, Bojórquez, Juan, Reyes-Salazar, Alfredo, Chávez, Robespierre, and Barraza, Manuel
Published: 2017
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45. A new ground motion intensity measure IB

Author: Bojórquez, Edén, Chávez, Robespierre, Reyes-Salazar, Alfredo, Ruiz, Sonia E., and Bojórquez, Juan
Published: 2017
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46. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants

Author: Zhou, Bin, Bentham, James, Di Cesare, Mariachiara, Bixby, Honor, Danaei, Goodarz, Cowan, Melanie J, Paciorek, Christopher J, Singh, Gitanjali, Hajifathalian, Kaveh, Bennett, James E, Taddei, Cristina, Bilano, Ver, Carrillo-Larco, Rodrigo M, Djalalinia, Shirin, Khatibzadeh, Shahab, Lugero, Charles, Peykari, Niloofar, Zhang, Wan Zhu, Lu, Yuan, Stevens, Gretchen A, Riley, Leanne M, Bovet, Pascal, Elliott, Paul, Gu, Dongfeng, Ikeda, Nayu, Jackson, Rod T, Joffres, Michel, Kengne, Andre Pascal, Laatikainen, Tiina, Lam, Tai Hing, Laxmaiah, Avula, Liu, Jing, Miranda, J Jaime, Mondo, Charles K, Neuhauser, Hannelore K, Sundström, Johan, Smeeth, Liam, Soric, Maroje, Woodward, Mark, Ezzati, Majid, Abarca-Gómez, Leandra, Abdeen, Ziad A, Rahim, Hanan Abdul, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adams, Robert, Aekplakorn, Wichai, Afsana, Kaosar, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmadvand, Alireza, Ahrens, Wolfgang, Al Raddadi, Rajaa, Al Woyatan, Rihab, Ali, Mohamed M, Alkerwi, Ala'a, Aly, Eman, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A, Ängquist, Lars, Anjana, Ranjit Mohan, Ansong, Daniel, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Aryal, Krishna, Arveiler, Dominique, Assah, Felix K, Assunção, Maria Cecília F, Avdicová, Mária, Azevedo, Ana, Azizi, Fereidoun, Babu, Bontha V, Bahijri, Suhad, Balakrishna, Nagalla, Bandosz, Piotr, Banegas, José R, Barbagallo, Carlo M, Barceló, Alberto, Barkat, Amina, Barros, Aluisio J D, Barros, Mauro V, Bata, Iqbal, Batieha, Anwar M, Baur, Louise A, Beaglehole, Robert, Romdhane, Habiba Ben, Benet, Mikhail, Benson, Lowell S, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bi, Yufang, Bikbov, Mukharram, Bjerregaard, Peter, Bjertness, Espen, Björkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boeing, Heiner, Boggia, Jose G, Boissonnet, Carlos P, Bongard, Vanina, Braeckman, Lutgart, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M, Bruno, Graziella, Bueno-de-Mesquita, H B(as), Bugge, Anna, Burns, Con, Bursztyn, Michael, de León, Antonio Cabrera, Cacciottolo, Joseph, Cameron, Christine, Can, Günay, Cândido, Ana Paula C, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Carvalho, Maria J, Casanueva, Felipe F, Casas, Juan-Pablo, Caserta, Carmelo A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nishi, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Dekkaki, Imane Cherkaoui, Chetrit, Angela, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Cho, Belong, Cho, Yumi, Chudek, Jerzy, Cifkova, Renata, Claessens, Frank, Clays, Els, Concin, Hans, Cooper, Cyrus, Cooper, Rachel, Coppinger, Tara C, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crujeiras, Ana B, Cruz, Juan J, D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Damasceno, Albertino, Dankner, Rachel, Dantoft, Thomas M, Dauchet, Luc, De Backer, Guy, De Bacquer, Dirk, de Gaetano, Giovanni, De Henauw, Stefaan, De Smedt, Delphine, Deepa, Mohan, Dehghan, Abbas, Delisle, Hélène, Deschamps, Valérie, Dhana, Klodian, Di Castelnuovo, Augusto F, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dickerson, Ty T, Do, Ha T P, Dobson, Annette J, Donfrancesco, Chiara, Donoso, Silvana P, Döring, Angela, Doua, Kouamelan, Drygas, Wojciech, Dulskiene, Virginija, Džakula, Aleksandar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eggertsen, Robert, Ekelund, Ulf, El Ati, Jalila, Ellert, Ute, Elosua, Roberto, Erasmus, Rajiv T, Erem, Cihangir, Eriksen, Louise, de la Peña, Jorge Escobedo, Evans, Alun, Faeh, David, Fall, Caroline H, Farzadfar, Farshad, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrieres, Jean, Finn, Joseph D, Fischer, Krista, Föger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Forsner, Maria, Fortmann, Stephen P, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Franco, Oscar H, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Gavrila, Diana, Geleijnse, Johanna M, Ghasemian, Anoosheh, Ghimire, Anup, Giampaoli, Simona, Gianfagna, Francesco, Giovannelli, Jonathan, Goldsmith, Rebecca A, Gonçalves, Helen, Gross, Marcela Gonzalez, Rivas, Juan P González, Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dušan, Grajda, Aneta, Gregor, Ronald D, Grodzicki, Tomasz, Grøntved, Anders, Gruden, Grabriella, Grujic, Vera, Guan, Ong Peng, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc, Gupta, Prakash C, Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Hadaegh, Farzad, Halkjær, Jytte, Hambleton, Ian R, Hardy, Rebecca, Harikumar, Rachakulla, Hata, Jun, Hayes, Alison J, He, Jiang, Hendriks, Marleen Elisabeth, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Heshmat, Ramin, Hihtaniemi, Ilpo Tapani, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Hofman, Albert, Dinc, Gonul Horasan, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Hu, Yonghua, Huerta, José María, Husseini, Abdullatif S, Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G, Ibrahim, M Mohsen, Ikram, M Arfan, Irazola, Vilma E, Islam, Muhammad, Ivkovic, Vanja, Iwasaki, Masanori, Jacobs, Jeremy M, Jafar, Tazeen, Jamrozik, Konrad, Janszky, Imre, Jasienska, Grazyna, Jelakovic, Bojan, Jiang, Chao Qiang, Johansson, Mattias, Jonas, Jost B, Jørgensen, Torben, Joshi, Pradeep, Juolevi, Anne, Jurak, Gregor, Jureša, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kalter-Leibovici, Ofra, Kamaruddin, Nor Azmi, Kasaeian, Amir, Katz, Joanne, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli, Keil, Ulrich, Boker, Lital Keinan, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han C G, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khang, Young-Ho, Khaw, Kay-Tee, Kiechl, Stefan, Killewo, Japhet, Kim, Jeongseon, Klumbiene, Jurate, Kolle, Elin, Kolsteren, Patrick, Korrovits, Paul, Koskinen, Seppo, Kouda, Katsuyasu, Koziel, Slawomir, Kristensen, Peter Lund, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kuh, Diana, Kujala, Urho M, Kula, Krzysztof, Kulaga, Zbigniew, Kumar, R Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S, Kuulasmaa, Kari, Kyobutungi, Catherine, Lachat, Carl, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Laugsand, Lars E, Bao, Khanh Le Nguyen, Le, Tuyen D, Leclercq, Catherine, Lee, Jeannette, Lee, Jeonghee, Lehtimäki, Terho, Lekhraj, Rampal, León-Muñoz, Luz M, Levitt, Naomi S, Li, Yanping, Lilly, Christa L, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lin, Xu, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lorbeer, Roberto, Lotufo, Paulo A, Lozano, José Eugenio, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lytsy, Per, Ma, Guansheng, Ma, Jun, Machado-Coelho, George L L, Machi, Suka, Maggi, Stefania, Magliano, Dianna J, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Malyutina, Sofia, Manios, Yannis, Mann, Jim I, Manzato, Enzo, Margozzini, Paula, Marques-Vidal, Pedro, Marrugat, Jaume, Martorell, Reynaldo, Mathiesen, Ellisiv B, Matijasevich, Alicia, Matsha, Tandi E, Mbanya, Jean Claude N, Posso, Anselmo J Mc Donald, McFarlane, Shelly R, McGarvey, Stephen T, McLachlan, Stela, McLean, Rachael M, McNulty, Breige A, Khir, Amir Sharifuddin Md, Mediene-Benchekor, Sounnia, Medzioniene, Jurate, Meirhaeghe, Aline, Meisinger, Christa, Menezes, Ana Maria B, Menon, Geetha R, Meshram, Indrapal I, Metspalu, Andres, Mi, Jie, Mikkel, Kairit, Miller, Jody C, Miquel, Juan Francisco, Mišigoj-Durakovic, Marjeta, Mohamed, Mostafa K, Mohammad, Kazem, Mohammadifard, Noushin, Mohan, Viswanathan, Yusoff, Muhammad Fadhli Mohd, Møller, Niels C, Molnár, Dénes, Momenan, Amirabbas, Monyeki, Kotsedi Daniel K, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Muiesan, Maria L, Müller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musil, Vera, Nagel, Gabriele, Naidu, Balkish M, Nakamura, Harunobu, Námešná, Jana, Nang, Ei Ei K, Nangia, Vinay B, Narake, Sameer, Navarrete-Muñoz, Eva Maria, Ndiaye, Ndeye Coumba, Neal, William A, Nenko, Ilona, Nervi, Flavio, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Niiranen, Teemu J, Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Noorbala, Ahmad Ali, Noorbala, Teresa, Noto, Davide, Al Nsour, Mohannad, O'Reilly, Dermot, Oh, Kyungwon, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ordunez, Pedro, Osmond, Clive, Ostojic, Sergej M, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, Pajak, Andrzej, Palli, Domenico, Palmieri, Luigi, Panda-Jonas, Songhomitra, Panza, Francesco, Papandreou, Dimitrios, Parnell, Winsome R, Parsaeian, Mahboubeh, Pecin, Ivan, Pednekar, Mangesh S, Peer, Nasheeta, Peeters, Petra H, Peixoto, Sergio Viana, Pelletier, Catherine, Peltonen, Markku, Pereira, Alexandre C, Pérez, Rosa Marina, Peters, Annette, Petkeviciene, Janina, Pham, Son Thai, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Plans-Rubió, Pedro, Polakowska, Maria, Polašek, Ozren, Porta, Miquel, Portegies, Marileen LP, Pourshams, Akram, Pradeepa, Rajendra, Prashant, Mathur, Price, Jacqueline F, Puiu, Maria, Punab, Margus, Qasrawi, Radwan F, Qorbani, Mostafa, Radic, Ivana, Radisauskas, Ricardas, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Sanjay, Reina, Daniel A Rangel, Rasmussen, Finn, Redon, Josep, Reganit, Paul Ferdinand M, Ribeiro, Robespierre, Riboli, Elio, Rigo, Fernando, de Wit, Tobias F Rinke, Ritti-Dias, Raphael M, Robinson, Sian M, Robitaille, Cynthia, Rodríguez-Artalejo, Fernando, Rodriguez-Perez del Cristo, María, Rodríguez-Villamizar, Laura A, Rojas-Martinez, Rosalba, Rosengren, Annika, Rubinstein, Adolfo, Rui, Ornelas, Ruiz-Betancourt, Blanca Sandra, Horimoto, Andrea R V Russo, Rutkowski, Marcin, Sabanayagam, Charumathi, Sachdev, Harshpal S, Saidi, Olfa, Sakarya, Sibel, Salanave, Benoit, Salazar Martinez, Eduardo, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Sánchez-Abanto, Jose, Sans, Susana, Santos, Diana, Santos, Ina S, dos Santos, Renata Nunes, Santos, Rute, Saramies, Jouko L, Sardinha, Luis B, Margolis, Giselle Sarganas, Sarrafzadegan, Nizal, Saum, Kai-Uwe, Savva, Savvas C, Scazufca, Marcia, Schargrodsky, Herman, Schneider, Ione J, Schultsz, Constance, Schutte, Aletta E, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sharma, Sanjib K, Shaw, Jonathan E, Shibuya, Kenji, Shin, Dong Wook, Shin, Youchan, Siantar, Rosalynn, Sibai, Abla M, Silva, Diego Augusto Santos, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöström, Michael, Skovbjerg, Sine, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smith, Margaret C, Snijder, Marieke B, So, Hung-Kwan, Sobngwi, Eugène, Söderberg, Stefan, Solfrizzi, Vincenzo, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Jérome, Charles Sossa, Soumare, Aicha, Staessen, Jan A, Starc, Gregor, Stathopoulou, Maria G, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stieber, Jutta, Stöckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G, Tai, E Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tang, Line, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B, Taylor, Anne, Theobald, Holger, Thijs, Lutgarde, Thuesen, Betina H, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Tormo, María José, Torrent, Maties, Traissac, Pierre, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh T H, Trivedi, Atul, Tshepo, Lechaba, Tulloch-Reid, Marshall K, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu M T, Valdivia, Gonzalo, Valvi, Damaskini, van der Schouw, Yvonne T, Van Herck, Koen, van Rossem, Lenie, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lars, Vega, Tomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W M Monique, Verstraeten, Roosmarijn, Victora, Cesar G, Viet, Lucie, Viikari-Juntura, Eira, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vollenweider, Peter, Voutilainen, Sari, Vrdoljak, Ana, Vrijheid, Martine, Wade, Alisha N, Wagner, Aline, Walton, Janette, Mohamud, Wan Nazaimoon Wan, Wang, Ming-Dong, Wang, Qian, Wang, Ya Xing, Wannamethee, S Goya, Wareham, Nicholas, Wedderkopp, Niels, Weerasekera, Deepa, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wijga, Alet H, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Emmanuel A, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong, Tien Yin, Wong-McClure, Roy A, Woo, Jean, Wu, Aleksander Giwercman, Wu, Frederick C, Wu, Shou Ling, Xu, Haiquan, Yan, Weili, Yang, Xiaoguang, Ye, Xingwang, Yiallouros, Panayiotis K, Yoshihara, Akihiro, Younger-Coleman, Novie O, Yusoff, Ahmad F, Yusoff, Muhammad Fadhli M, Zambon, Sabina, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Yingffeng, Zhu, Dan, Zimmermann, Esther, and Zuñiga Cisneros, Julio
Published: 2017
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47. CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability

Author: Barbosa, George C. G., Ali, M. Sanni, Araujo, Bruno, Reis, Sandra, Sena, Samila, Ichihara, Maria Y. T., Pescarini, Julia, Fiaccone, Rosemeire L., Amorim, Leila D., Pita, Robespierre, Barreto, Marcos E., Smeeth, Liam, and Barreto, Mauricio L.
Published: 2020
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48. Examining the quality of record linkage process using nationwide Brazilian administrative databases to build a large birth cohort

Author: Almeida, Daniela, Gorender, David, Ichihara, Maria Yury, Sena, Samila, Menezes, Luan, Barbosa, George C. G., Fiaccone, Rosimeire L., Paixão, Enny S., Pita, Robespierre, and Barreto, Mauricio L.
Published: 2020
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49. 'Avaliação da saúde e deficiência através do WHODAS 2.0 em indivíduos com Lesões Medulares'

Author: Hunny Fernanda Robespierre Santana and Ana Karolina Pontes Lima
Subjects: Marketing, Pharmacology, Organizational Behavior and Human Resource Management, Strategy and Management, Drug Discovery, Pharmaceutical Science
Abstract: Introdução: A Lesão Medular é uma alteração na medula que compromete algumas funções fisiológicas e pode ser permanente ou temporária. Ocorre geralmente em homens adultos. Sua etiologia pode ser traumática ou não traumática. É necessária a realização de uma avaliação minuciosa para melhor estabelecer o tratamento individual. Objetivo: Avaliar as condições de saúde e deficiência de indivíduos com Lesões Medulares, através do WHODAS 2.0. Metodologia: Trata-se de um estudo observacional, transversal e descritivo, que foi realizado em um laboratório na cidade de Recife - PE. Foram incluídos na pesquisa indivíduos que sofreram uma lesão medular, acima dos 18 anos e de ambos os sexos. A avaliação foi composta por uma ficha de avaliação sócio clínico demográfico e pelo questionário WHODAS 2.0. Resultados: A pesquisa foi composta por 7 indivíduos, sendo a sua maioria homens (n=6), com idade média de 34 anos, escolaridade incompleta (n=6), em condição de vida assistida (n=5), vivendo casado ou com o companheiro (n=6), desempregado (n=5) e com lesão na cervical (n=5). Em relação ao WHODAS 2.0, o domínio que obteve uma maior facilidade entre os voluntários foi o domínio 4 (relações interpessoais), resultando em 3,57% de dificuldade entre eles ao realizá-la. Entre esses, o domínio mais difícil foi o domínio 5 (atividades de vida), onde os indivíduos mostraram aproximadamente uma média de 74,55% de dificuldade em realizar suas tarefas. Considerações finais: Foi observado a eficácia do WHODAS 2.0, para uma melhor avaliação funcional de cada paciente. Entretanto, devido à pandemia foi impossível explorar esse estudo, logo o ideal seria ampliar esse estudo.
Published: 2022

50. A Spark-based Workflow for Probabilistic Record Linkage of Healthcare Data.

Author: Robespierre Pita, Clícia Pinto, Pedro Melo, Malu Silva, Marcos Barreto 0001, and Davide Rasella
Published: 2015

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