3,085 research outputs found
Learning Analytics and Recommender Systems toward Remote Experimentation
This paper presents a process based on learning analytics and recom- mender systems to provide suggestions to students about remote laboratories ac- tivities in order to scaffold their performance. For this purpose, the records of remote experiments from the VISIR project were analyzed taking into account one of its installations. Each record is composed of requests containing the as- sembled circuits and the configurations of the measuring equipment, as well as the response provided by the measurement server that evaluates whether a par- ticular request can be performed or not. With the log analysis, it was possible to obtain information in order to determine some initial statistics and provide clues about the student’s behavior during the experiments. Using the concept of rec- ommendation, a service is proposed through request analysis and returns to the students more precise information about possible mistakes in the assembly of circuits or configurations. The process as a whole proves consistent in what re- gards its ability to provide suggestions to the students as they conduct the exper- iments. Furthermore, with the log, relevant information can be offered to teach- ers, thus assisting them in developing strategies to positively impact student’s learning.info:eu-repo/semantics/publishedVersio
Remote Experimentation supported by Learning Analytics and Recommender Systems
This paper proposes a process based on learning analytics and recommender systems targeted at making suggestions to students about their remote laboratories activities and providing insights to all stakeholders taking part in the learning process. To apply the process, a log with requests and responses of remote experiments from the VISIR project were analyzed. A request is the setup of the experiment including the assembled circuits and the configurations of the measuring equipment. In turn, a response is a message provided by the measurement server indicating measures or an error when it is not possible to execute the experiment. Along the two phases of analysis, the log was analyzed and summarized in order to provide insights about students' experiments. In addition, there is a recommendation service responsible for analyzing the requests thus returning, in case of error, precise information about the assembly of circuits or configurations. The evaluation of the process is consistent in what regards its ability to afford recommendations to the students as they carry out the experiments. Moreover, the summarized information intends to offer teachers means to better understand and develop strategies to scaffold students' learning.info:eu-repo/semantics/publishedVersio
Remote Experimentation supported by Learning Analytics and Recommender Systems
This paper proposes a process based on learning analytics and recommender systems targeted at making suggestions to students about their remote laboratories activities and providing insights to all stakeholders taking part in the learning process. To apply the process, a log with requests and responses of remote experiments from the VISIR project were analyzed. A request is the setup of the experiment including the assembled circuits and the configurations of the measuring equipment. In turn, a response is a message provided by the measurement server indicating measures or an error when it is not possible to execute the experiment. Along the two phases of analysis, the log was analyzed and summarized in order to provide insights about students' experiments. In addition, there is a recommendation service responsible for analyzing the requests thus returning, in case of error, precise information about the assembly of circuits or configurations. The evaluation of the process is consistent in what regards its ability to afford recommendations to the students as they carry out the experiments. Moreover, the summarized information intends to offer teachers means to better understand and develop strategies to scaffold students' learning.info:eu-repo/semantics/publishedVersio
Personalized Student Assessment based on Learning Analytics and Recommender Systems
This paper presents a process based on learning analytics and recommender systems with the objective of analyzing student assessment in order to provide clues that can help teachers in scaffolding the students’ performance. For this, a set of tests was used to evaluate students' competence in direct current circuits. The tests had multiple versions and to solve them each student had to use multiple approaches. The results indicate a better performance in calculus and simulations approaches when compared with hands-on and remote laboratories approaches. The analyses also provide support for the recommendation step allowing the configuration of a knowledge base. The process as a whole is consistent in what regards its ability to make suggestions to the students as they complete a given test and to provide teachers with information that can help them formulate strategies to positively impact students’ learning.info:eu-repo/semantics/publishedVersio
IT governance frameworks: A literature review of Brazilian publications
IT (Information Technology) governance has been a widely studied subject. This has generated different definitions and conceptual models to explain it. We conduct a concept-centric literature review based on a literature reference model. We used three literature frameworks to identify key-variables to evaluate and classify Brazilian IT governance publications. These variables were used to classify 90 Brazilian publications from 2004 to 2012. The authors chose Brazil due to its economic growth and companies’ internationalization on the last years. The organizations are fonder to regulatory and compliance marks due to market visibility, driving them towards IT governance practices due to growing dependence on IT. The frameworks used in the country are usually developed abroad - then verification on how they fit with Brazilian organizations is relevant to business management. The study shows that; the most used methodology is the case study; 90% of the papers were written in Portuguese; the IT alignment is cited, but not evaluated; few cases are related to small and medium business; and decision structures are not discussed. The authors conclude presenting a conceptual model summarizing all the models and Brazilian companies’ particularities
Learning Analytics and Recommender Systems toward Remote Experimentation
This paper presents a process based on learning analytics and recom- mender systems to provide suggestions to students about remote laboratories ac- tivities in order to scaffold their performance. For this purpose, the records of remote experiments from the VISIR project were analyzed taking into account one of its installations. Each record is composed of requests containing the as- sembled circuits and the configurations of the measuring equipment, as well as the response provided by the measurement server that evaluates whether a par- ticular request can be performed or not. With the log analysis, it was possible to obtain information in order to determine some initial statistics and provide clues about the student’s behavior during the experiments. Using the concept of rec- ommendation, a service is proposed through request analysis and returns to the students more precise information about possible mistakes in the assembly of circuits or configurations. The process as a whole proves consistent in what re- gards its ability to provide suggestions to the students as they conduct the exper- iments. Furthermore, with the log, relevant information can be offered to teach- ers, thus assisting them in developing strategies to positively impact student’s learning.info:eu-repo/semantics/publishedVersio
Africa RISING fast track workplan 2012: Sustainable intensification of cereal-based farming systems in the Sudano-Sahelian Zone
Evaluation of trace metal levels in surface sediments of the Sergipe River Hydrographic Basin, Northeast Brazil
Exercise training prevents the deterioration in the arterial baroreflex control of sympathetic nerve activity in chronic heart failure patients
Arterial baroreflex control of muscle sympathetic nerve activity (ABRMSNA) is impaired in chronic systolic heart failure (CHF). the purpose of the study was to test the hypothesis that exercise training would improve the gain and reduce the time delay of ABRMSNA in CHF patients. Twenty-six CHF patients, New York Heart Association Functional Class II-III, EF <= 40%, peak (V) over dot O-2 <= 20 ml.kg(-1).min(-1) were divided into two groups: untrained (UT, n = 13, 57 +/- 3 years) and exercise trained (ET, n = 13, 49 +/- 3 years). Muscle sympathetic nerve activity (MSNA) was directly recorded by microneurography technique. Arterial pressure was measured on a beat-to-beat basis. Time series of MSNA and systolic arterial pressure were analyzed by autoregressive spectral analysis. the gain and time delay of ABRMSNA was obtained by bivariate autoregressive analysis. Exercise training was performed on a cycle ergometer at moderate intensity, three 60-min sessions per week for 16 wk. Baseline MSNA, gain and time delay of ABRMSNA, and low frequency of MSNA (LFMSNA) to high-frequency ratio (HFMSNA) (LFMSNA/HFMSNA) were similar between groups. ET significantly decreased MSNA. MSNA was unchanged in the UT patients. the gain and time delay of ABRMSNA were unchanged in the ET patients. in contrast, the gain of ABRMSNA was significantly reduced [3.5 +/- 0.7 vs. 1.8 +/- 0.2, arbitrary units (au)/mmHg, P = 0.04] and the time delay of ABRMSNA was significantly increased (4.6 +/- 0.8 vs. 7.9 +/- 1.0 s, P = 0.05) in the UT patients. LFMSNA-to-HFMSNA ratio tended to be lower in the ET patients (P < 0.08). Exercise training prevents the deterioration of ABRMSNA in CHF patients.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Fundacao ZerbiniCoordenação de Aperfeiçoamento de Pessoal de NÃvel Superior (CAPES)Conselho Nacional de Desenvolvimento CientÃfico e Tecnológico (CNPq)National Heart, Lung, and Blood InstituteUniv São Paulo, Sch Med, Heart Inst InCor, São Paulo, BrazilUniv São Paulo, Sch Phys Educ & Sport, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Med, Div Cardiol, São Paulo, BrazilUniv Calif Los Angeles, David Geffen Sch Med, Dept Med Cardiol & Physiol, Los Angeles, CA 90095 USAUniversidade Federal de São Paulo, Dept Med, Div Cardiol, São Paulo, BrazilFAPESP: 2010/50048-1FAPESP: 140643/2009-5FAPESP: 2013/07651-7CNPq: 142366/2009-9CNPq: 301867/2010-0CNPq: 308068/2011-4FAPESP: 2013/15651-7National Heart, Lung, and Blood Institute: RO1-HL084525Web of Scienc
Remote ischemic preconditioning in myocardial protection in hemodialysis patients
Background: Remote ischemic preconditioning (RIPC) is a procedure that generates a brief period of ischemia followed by reperfusion. The role of RIPC in protecting myocardial ischemia during hemodialysis is not yet established. The aim of the study was to evaluate RIPC myocardial protection as evaluated by ultrasensitive I troponin in hemodialysis outpatients. Patients and methods: A double-blind randomized trial with two groups: intervention submitted to RIPC and control group without RIPC. Intervention group received RIPC in three consecutive hemodialysis sessions. Blood samples were taken before and after each session. Blood urea nitrogen for calculation of single-pool Kt/v and ultrasensitive I troponin were measured to evaluate dialysis adequacy and myocardial injury. Results: A total of 47 patients were randomized. About 60.8% were men and 54% were diabetic. The mean single-pool Kt/v was 1.51 in the intervention group and 1.49 in control. The ultrasensitive troponin I measured no significant change from the time of collection: before or after dialysis. Conclusion: The RIPC applied in three consecutive sessions did not demonstrate superiority to control, therefore another study tested RIPC in 12 consecutive sessions with a positive result in myocardial protection. In our study, more than half of the patients were diabetic. Diabetic patients have a trend to show a lower response to RIPC because of the greater presence of collateral coronary circulation. In summary, in this model there was no interference of RIPC in ultrasensitive troponin I values, but troponin had a high negative predictive value for myocardial infarction in all tested models.ABC, Fac Med, Dept Gen Practice, Av Principe Gales N 821, BR-09060650 Santo Andre, SP, BrazilABC, Fac Med, Dept Cardiol, Santo Andre, SP, BrazilABC, Fac Med, Clin Anal Lab, Santo Andre, SP, BrazilUniv Fed Sao Paulo, Dept Pharmaceut Sci, Diadema, SP, BrazilUniv Fed Sao Paulo, Dept Pharmaceut Sci, Diadema, SP, BrazilWeb of Scienc
- …