Search results for "TP1-1185"

showing 10 items of 376 documents

The Use of Winery by-Products to Enhance the Functional Aspects of the Fresh Ovine “Primosale” Cheese

2021

Fresh ovine “primosale” cheese was processed with the addition of grape pomace powder (GPP). Cheese making was performed using pasteurized ewes’ milk and four selected Lactococcus lactis strains (Mise36, Mise94, Mise169 and Mise190) inoculated individually. For each strain the control cheese (CCP) was not added with GPP, while the experimental cheese (ECP) was enriched with 1% (w/w) GPP. GPP did not influence the starter development that reached levels of 109 CFU/g in all final cheeses. The comparison of the bacterial isolates by randomly amplified polymorphic DNA (RAPD)-PCR showed the dominance of the added strains over indigenous milk bacteria resistant to pasteurization. GPP addition red…

0106 biological sciencesSettore AGR/19 - Zootecnica SpecialeHealth (social science)Settore AGR/13 - Chimica AgrariaPasteurizationPlant Sciencephysicochemical propertieslcsh:Chemical technology01 natural sciencesHealth Professions (miscellaneous)MicrobiologyArticlelaw.invention0404 agricultural biotechnologyStarterLipid oxidationlaw010608 biotechnologySettore BIO/10 - Biochimicavolatile organic compoundslcsh:TP1-1185Food sciencepolyphenolsWinemakingbiologyChemistryLactococcus lactisPomace04 agricultural and veterinary sciencesfunctional ovine cheesebiology.organism_classification040401 food scienceantioxidant propertiesLactococcus lactisgrape pomace powderDigestionBacteriaFood ScienceSettore AGR/16 - Microbiologia AgrariaFoods
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Annual post-market environmental monitoring (PMEM) report on the cultivation of genetically modified maize MON 810 in 2014 from Monsanto Europe S.A.

2016

Requestor: European CommissionQuestion number: EFSA-Q-2015-00650; Following a request from the European Commission, the Panel on Genetically Modified Organisms of the European Food Safety Authority (GMO Panel) assessed the annual post-market environmental monitoring (PMEM) report for the 2014 growing season of maize MON 810 provided by Monsanto Europe S.A. The GMO Panel concludes that the insect resistance monitoring data do not indicate a decrease in susceptibility of field Iberian populations of corn borers to the Cry1Ab protein over the 2014 season. However, as the methodology for insect resistance monitoring remained unchanged compared to previous PMEM reports, the GMO Panel reiterates …

0106 biological sciencesSettore BIO/07 - EcologiaVeterinary (miscellaneous)[SDV]Life Sciences [q-bio]TP1-1185Plant Science010501 environmental sciencesZea mays01 natural sciencesMicrobiologycase‐specific monitoringCry1Ab case-specific monitoring farmer questionnaires general surveillance insect resistance management Zea maysTX341-641Cry1Ab0105 earth and related environmental sciences2. Zero hungerNutrition. Foods and food supplyChemical technologyfungigeneral surveillance10079 Institute of Veterinary Pharmacology and Toxicologyfarmer questionnairesinsect resistance managementSettore AGR/02 - Agronomia E Coltivazioni ErbaceeSettore AGR/11 - Entomologia Generale E Applicata570 Life sciences; biologyAnimal Science and ZoologyParasitology010606 plant biology & botanyFood Science
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Potential of Propolis Extract as a Natural Antioxidant and Antimicrobial in Gelatin Films Applied to Rainbow Trout (Oncorhynchus mykiss) Fillets

2020

Usage of edible films and coatings alone or incorporated with natural extracts are a new approach to preservation and packaging of food. In this study, therefore, the microbiological, chemical quality, and sensorial changes of rainbow trout fillets coated with gelatin films supplemented with propolis extract (PE) (2, 8, 16%), as a source of polyphenols, were determined during 15 days of refrigerated storage (4 &plusmn

0106 biological sciencesendocrine systemanimal structuresHealth (social science)food.ingredientThiobarbituric acidanimal diseasesedible filmsPlant Sciencelcsh:Chemical technology01 natural sciencesHealth Professions (miscellaneous)MicrobiologyGelatinmicrobial qualitychemistry.chemical_compoundnatural extract0404 agricultural biotechnologyfoodlipid oxidationLipid oxidation010608 biotechnologyTBARSlcsh:TP1-1185Peroxide valueFood sciencebiologyurogenital systemfish quality04 agricultural and veterinary sciencesPropolisbiology.organism_classification040401 food scienceTroutantioxidantschemistryRainbow troutFood ScienceFoods
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Assessment of genetically modified maize GA21 for renewal of authorisation under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐RX‐005)

2017

Efsa Panel On Genetically Modified Organisms (gmo) Requestor: European Commission (DG SANTE)Question number: EFSA-Q-2016-00714Correspondence; Following the submission of application EFSA-GMO-RX-005 under Regulation (EC) No 1829/2003 from Syngenta Crop Protection NV/SA, the Panel on Genetically Modified Organisms of the European Food Safety Authority (GMO Panel) was asked to deliver a scientific risk assessment on the data submitted in the context of the renewal of authorisation application of the herbicide-tolerant genetically modified maize GA21. The data received in the context of this renewal application contained post-market environmental monitoring reports, a systematic search and eval…

0106 biological sciencesmaïsVeterinary (miscellaneous)[SDV]Life Sciences [q-bio]Context (language use)TP1-1185Plant Science010501 environmental sciencesOriginal Applicationmaize01 natural sciencesMicrobiologyGenetically modified soybeanzea maysGA21articles 11 and 23media_common.cataloged_instanceTX341-641European union0105 earth and related environmental sciencesmedia_common2. Zero hungerrenewalNutrition. Foods and food supplybusiness.industryindian cornChemical technologyfungiAuthorizationRegulation (EC) No 1829/200310079 Institute of Veterinary Pharmacology and ToxicologyFood safetyGenetically modified organismBiotechnologyScientific Opinionmaize;GA21 renewal;Regulation (EC) No 1829/2003;articles 11 and 23Regulation (EC) No1829/2003570 Life sciences; biologyAnimal Science and ZoologyParasitologyRisk assessmentbusinessRegulation (EC) No 1829/2003010606 plant biology & botanyFood Science
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Machine Learning Approaches for Activity Recognition and/or Activity Prediction in Locomotion Assistive Devices—A Systematic Review

2020

Locomotion assistive devices equipped with a microprocessor can potentially automatically adapt their behavior when the user is transitioning from one locomotion mode to another. Many developments in the field have come from machine learning driven controllers on locomotion assistive devices that recognize/predict the current locomotion mode or the upcoming one. This review synthesizes the machine learning algorithms designed to recognize or to predict a locomotion mode in order to automatically adapt the behavior of a locomotion assistive device. A systematic review was conducted on the Web of Science and MEDLINE databases (as well as in the retrieved papers) to identify articles published…

0209 industrial biotechnologyComputer science0206 medical engineeringWalkingReview02 engineering and technologyMachine learningcomputer.software_genrelcsh:Chemical technologyBiochemistryField (computer science)Analytical ChemistryActivity recognition020901 industrial engineering & automationMode (computer interface)Robustness (computer science)Humansassistive deviceslcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationbusiness.industryembedded sensorsSelf-Help Devices020601 biomedical engineeringAtomic and Molecular Physics and Opticslocomotionmachine learningArtificial intelligencebusinesscomputerAlgorithmsSensors
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Smart sensing and adaptive reasoning for enabling industrial robots with interactive human-robot capabilities in dynamic environments — a case study

2019

Traditional industry is seeing an increasing demand for more autonomous and flexible manufacturing in unstructured settings, a shift away from the fixed, isolated workspaces where robots perform predefined actions repetitively. This work presents a case study in which a robotic manipulator, namely a KUKA KR90 R3100, is provided with smart sensing capabilities such as vision and adaptive reasoning for real-time collision avoidance and online path planning in dynamically-changing environments. A machine vision module based on low-cost cameras and color detection in the hue, saturation, value (HSV) space is developed to make the robot aware of its changing environment. Therefore, this vision a…

0209 industrial biotechnologyComputer scienceMachine visionTKReal-time computingRobot manipulator02 engineering and technologyWorkspaceAdaptive Reasoninglcsh:Chemical technologyBiochemistryHuman–robot interactionArticleAnalytical ChemistrySettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchinehuman-robot interaction020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Motion planningElectrical and Electronic EngineeringInstrumentationpath planningCollision avoidancerobot controlsmart sensingAdaptive reasoningdynamic environmentsAtomic and Molecular Physics and OpticsRobot control:Engineering::Mechanical engineering [DRNTU]ObstacleDynamic EnvironmentsRobot020201 artificial intelligence & image processingadaptive reasoning
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Assembly Assistance System with Decision Trees and Ensemble Learning

2021

This paper presents different prediction methods based on decision tree and ensemble learning to suggest possible next assembly steps. The predictor is designed to be a component of a sensor-based assembly assistance system whose goal is to provide support via adaptive instructions, considering the assembly progress and, in the future, the estimation of user emotions during training. The assembly assistance station supports inexperienced manufacturing workers, but it can be useful in assisting experienced workers, too. The proposed predictors are evaluated on the data collected in experiments involving both trainees and manufacturing workers, as well as on a mixed dataset, and are compared …

0209 industrial biotechnologyDecision support systemComputer scienceDecision treetraining stations02 engineering and technologyTP1-1185Machine learningcomputer.software_genreBiochemistryArticleAnalytical Chemistry020901 industrial engineering & automationPrediction methodsComponent (UML)decision tree0202 electrical engineering electronic engineering information engineeringassembly assistance systemsElectrical and Electronic EngineeringInstrumentationbusiness.industryChemical technologyNoveltyContrast (statistics)Ensemble learningAtomic and Molecular Physics and Opticsensemble learning020201 artificial intelligence & image processingSupport systemArtificial intelligencebusinesscomputerdecision support systemsSensors
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Improved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton.

2020

Neurological disorders such as cerebral paralysis, spinal cord injuries[acronym](SCI), and strokes, result in the impairment of motor control and induce functional difficulties to human beings like walking, standing, etc. Physical injuries due to accidents and muscular weaknesses caused by aging [english]affectsaffect people and can cause them to lose their ability to perform daily routine functions. In order to help people recover or improve their dysfunctional activities and quality of life after accidents or strokes, assistive devices like exoskeletons and orthoses are developed. Control strategies for control of exoskeletons are developed with the desired intention of improving the qual…

0209 industrial biotechnologyObserver (quantum physics)Computer sciencenonlinear state error feedback (NLSEF)02 engineering and technologyWalkingActive disturbance rejection controllcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryDifferentiator020901 industrial engineering & automationimproved active disturbance rejection control (I-ADRC)Control theory0202 electrical engineering electronic engineering information engineeringHumanstrajectory trackingnonlinear state error feedback (NLSEF).lcsh:TP1-1185State observerElectrical and Electronic Engineeringlower limb robotic rehabilitation exoskeleton (LLRRE)Instrumentationtracking differentiator (TD)020208 electrical & electronic engineeringRehabilitationMotor controlRoboticsExoskeleton DeviceAtomic and Molecular Physics and OpticsExoskeletonNonlinear systemLower ExtremityTrajectoryQuality of LifeRobust controllinear extended state observer (LESO)Sensors (Basel, Switzerland)
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A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

2020

Computer vision based indoor localization methods use either an infrastructure of static cameras to track mobile entities (e.g., people, robots) or cameras attached to the mobile entities. Methods in the first category employ object tracking, while the others map images from mobile cameras with images acquired during a configuration stage or extracted from 3D reconstructed models of the space. This paper offers an overview of the computer vision based indoor localization domain, presenting application areas, commercial tools, existing benchmarks, and other reviews. It provides a survey of indoor localization research solutions, proposing a new classification based on the configuration stage…

0209 industrial biotechnologyQR codesComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologyBiochemistryArticlecomputer visionAnalytical ChemistryDomain (software engineering)fiducial markers020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringComputer visionlcsh:TP1-11853D reconstructionElectrical and Electronic EngineeringInstrumentationOrientation (computer vision)business.industry3D reconstructionAtomic and Molecular Physics and Opticsindoor localizationVideo trackingRobot020201 artificial intelligence & image processingAugmented realityArtificial intelligencebusinessSensors
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Nanoparticle delivery to metastatic breast cancer cells by nanoengineered mesenchymal stem cells

2017

We created a 3D cell co-culture model by combining nanoengineered mesenchymal stem cells (MSCs) with the metastatic breast cancer cell line MDA-MD-231 and primary breast cancer cell line MCF7 to explore the transfer of quantum dots (QDs) to cancer cells. First, the optimal conditions for high-content QD loading in MSCs were established. Then, QD uptake in breast cancer cells was assessed after 24 h in a 3D co-culture with nanoengineered MSCs. We found that incubation of MSCs with QDs in a serum-free medium provided the best accumulation results. It was found that 24 h post-labelling QDs were eliminated from MSCs. Our results demonstrate that breast cancer cells efficiently uptake QDs that a…

0301 basic medicineCellGeneral Physics and Astronomyquantum dotsspheroidslcsh:Chemical technologylcsh:TechnologyFull Research Paper03 medical and health sciences3D cell culturemedicineNanotechnologycancerlcsh:TP1-1185General Materials ScienceElectrical and Electronic Engineeringlcsh:Scienceskin and connective tissue diseases3D cell culturemesenchymal stem cellslcsh:TChemistryMesenchymal stem cellCancermedicine.diseaseMetastatic breast cancerlcsh:QC1-999Nanoscience030104 developmental biologymedicine.anatomical_structureTargeted drug deliveryCell cultureCancer cellCancer researchlcsh:Qlcsh:PhysicsBeilstein Journal of Nanotechnology
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