scispace - formally typeset
Search or ask a question
Institution

Federal University of São Carlos

EducationSão Carlos, Brazil
About: Federal University of São Carlos is a education organization based out in São Carlos, Brazil. It is known for research contribution in the topics: Population & Microstructure. The organization has 16471 authors who have published 34057 publications receiving 456654 citations. The organization is also known as: UFSCar & Federal University of São Carlos.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, high density polyethylene (HDPE) was mixed in a twin screw extruder with organophilic treated clay, Cloisite 20A, and a compatibility agent, a HDPE grafted with maleic anhydride (PEMA).

110 citations

Journal ArticleDOI
TL;DR: In this article, a novel nanocomposite material based on the exfoliation of montmorillonite into a matrix of urea/urea-formaldehyde polymer was developed to be used as nitrogen-loaded slow release fertilizers.

110 citations

Journal ArticleDOI
TL;DR: Strong evidence was found to support the effectiveness of physical exercise in controlling neck pain among workers who performed sedentary tasks in offices or administrative environments, while moderateEvidence was found for low back pain relief among healthcare and industrial workers who perform heavy physical tasks.
Abstract: Background: Musculoskeletal disorders have been recognized as a worldwide health problem One of the measures for controlling these disorders is workplace exercise, either at the workstation or in a separate environment within the company However, there is controversy regarding the effectiveness and means of applying these interventions Objectives: To assess and provide evidence of the effectiveness of workplace exercise in controlling musculoskeletal pain Methods: The following databases were searched: PubMed, MEDLINE, Embase, Cochrane, PEDro and Web of Science Two independent reviewers selected the elegible studies Possible disagreements were solved by consensus All randomized controlled clinical trials that evaluated exercise interventions in the workplace musculoskeletal pain relief were included The PEDro scale (range=0-10 points) was used to rate the quality of the studies included in this review Results and Conclusions: The electronic search yielded a total of 8680 references published in English At the end of the selection process, 18 studies were included Strong evidence was found to support the effectiveness of physical exercise in controlling neck pain among workers who performed sedentary tasks in offices or administrative environments, while moderate evidence was found for low back pain relief among healthcare and industrial workers who performed heavy physical tasks These positive results were reported when the training periods were longer than 10 weeks, the exercises were performed against some type of resistance and the sessions were supervised None of the studies evaluating sedentary workers reported positive results for controlling musculoskeletal shoulder pain Further randomized controlled trials are needed to comparatively evaluate, among other aspects, the effects of light and heavy training for shoulder pain relief

110 citations

Journal ArticleDOI
TL;DR: In this article, a systematic study was made of the synthesis of V2O5·nH2O nanostructures, whose morphologies, crystal structure, and amount of water molecules between the layered structures were regulated by stric...
Abstract: A systematic study was made of the synthesis of V2O5·nH2O nanostructures, whose morphologies, crystal structure, and amount of water molecules between the layered structures were regulated by stric...

110 citations

Proceedings ArticleDOI
04 Oct 2004
TL;DR: A fault tolerant and low latency algorithm, which is referred to as PEQ (Periodic, Event-Driven and Query-Based Protocol), that meets sensor networks requirements for critical conditions surveillance applications is presented.
Abstract: Sensor networks are increasingly being deployed for fine-grain monitoring of physical environments subjected to critical conditions such as fire, leaking of toxic gases and explosions A great challenge to these networks is to provide a fast, reliable and fault tolerant channel for events diffusion, which meets the requirements of query-based, event-driven and periodic sensor networks application scenarios, even in the presence of emergency conditions that can lead to node failures and path disruption to the sink that receives those events This paper presents a fault tolerant and low latency algorithm, which we refer to as PEQ (Periodic, Event-Driven and Query-Based Protocol), that meets sensor networks requirements for critical conditions surveillance applications The algorithm uses the publish/subscribe paradigm to disseminate requests across the network and an ack-based scheme to provide fault tolerance The algorithm was implemented using NS-2 simulator and compared to the Directed Diffusion paradigm Important metrics were evaluated showing that the proposed algorithm can be a proper solution to meet constraints and requirements of events delivery in critical conditions monitoring applications

109 citations


Authors

Showing all 16693 results

NameH-indexPapersCitations
Akihisa Inoue126265293980
Michael R. Hamblin11789959533
Daniel P. Costa8953126309
Elson Longo86145440494
Ross Arena8167139949
Tom M. Mitchell7631541956
José Arana Varela7674823005
Luiz H. C. Mattoso6645517432
Steve F. Perry6629413842
Edson R. Leite6353515303
Juan Andrés6049313499
Edward R. T. Tiekink60196721052
Alex A. Freitas6034514789
Mary F. Mahon5953914258
Osvaldo N. Oliveira5961416369
Network Information
Related Institutions (5)
Federal University of Rio de Janeiro
89.1K papers, 1.5M citations

95% related

Universidade Federal do Rio Grande do Sul
89.4K papers, 1.4M citations

95% related

Sao Paulo State University
100.4K papers, 1.3M citations

95% related

Universidade Federal de Minas Gerais
75.6K papers, 1.2M citations

94% related

University of São Paulo
272.3K papers, 5.1M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202365
2022371
20212,710
20202,728
20192,435
20182,346