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José Lima

Researcher at Instituto Politécnico Nacional

Publications -  139
Citations -  1279

José Lima is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 14, co-authored 114 publications receiving 886 citations. Previous affiliations of José Lima include Polytechnic Institute of Porto & University of Porto.

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In vitro scavenging capacity of annatto seed extracts against reactive oxygen and nitrogen species

TL;DR: The ethanol:ethyl acetate and ethyl acetate extracts of annatto seeds, which presented the highest levels of hypolaetin and bixin, respectively, were the extracts with the highest antioxidant capacity, although bixIn standard presented the lowest IC(50) values.
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Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform

TL;DR: This paper added to PCL a new algorithm for performing correspondence estimation using lookup tables that was inspired by the PM approach to solve this problem and proved to be 40 to 60 times faster than the existing k-d tree approach in PCL and allowed the Iterative Closest Point algorithm to perform point cloud registration 5 to 9 times faster.
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Fostering STEAM through challenge‐based learning, robotics, and physical devices: A systematic mapping literature review

TL;DR: This paper shows that robotics and mechatronics applied with active methodologies is to be a good means to engage students in STEAM disciplines and thus aid the acquisition of what is commonly known as “21st‐century skills.”
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Antioxidant activity and inhibition of human neutrophil oxidative burst mediated by arylpropionic acid non-steroidal anti-inflammatory drugs.

TL;DR: The results obtained in the present work demonstrate that under the present experimental conditions, many of the studied APA NSAIDs showed O2*- scavenging activity, which may strongly contribute to the anti-inflammatory therapeutical activity observed with these NSAIDs.
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A Machine Learning Approach for Collaborative Robot Smart Manufacturing Inspection for Quality Control Systems

TL;DR: An innovative approach that uses a collaborative robot to support the smart inspection and corrective actions for quality control systems in the manufacturing process, complemented by an intelligent system that learns and adapts its behavior according to the inspected parts.