01129nam0 22002531i 450 SUN001923320070214120000.020040708d1998 |0itac50 baitaIT|||| |||||ˆIl ‰manuale dei capitolati e dei prezzaria cura di Enrico Milone RomaMancosu19981 v. (paginazione varia)ill.31 cm1 CD ROM.001SUN00194302001 ˆI ‰grandi manuali210 RomaMancosu.RomaSUNL000360Milone, EnricoSUNV015396MancosuSUNV000324650ITSOL20181109RICASUN0019233BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALE01 PREST IVB18 01 4961 Buono di ordinazione n.59 del 21/04/2004.BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALEIT-CE01074961PREST IVB18paBuono di ordinazione n.59 del 21/04/2004.Manuale dei capitolati e dei prezzari810981UNICAMPANIA01200nam 2200385 450 991058301130332120180127102404.00-12-813305-80-12-813304-X(CKB)4100000000646811(MiAaPQ)EBC5102184(PPN)226415201(EXLCZ)99410000000064681120171114h20182018 uy 0engurcnu||||||||rdacontentrdamediardacarrierSafety theory and control technology of high-speed train operation /Junfeng WangLondon, England :Academic Press,2018.©20181 online resource (388 pages) illustrations (some color), graphsIncludes bibliographical references and index.High speed trainsSafety measuresHigh speed trainsSafety measures.363.122Wang Junfeng932159MiAaPQMiAaPQMiAaPQBOOK9910583011303321Safety theory and control technology of high-speed train operation2097122UNINA06164nam 2201585z- 450 991055714740332120231214133501.0(CKB)5400000000040584(oapen)https://directory.doabooks.org/handle/20.500.12854/68592(EXLCZ)99540000000004058420202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvancement in Dietary Assessment and Self-Monitoring Using TechnologyBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (348 p.)3-03928-058-9 3-03928-059-7 Although methods to assess or self-monitor intake may be considered similar, the intended function of each is quite distinct. For the assessment of dietary intake, methods aim to measure food and nutrient intake and/or to derive dietary patterns for determining diet-disease relationships, population surveillance or the effectiveness of interventions. In comparison, dietary self-monitoring primarily aims to create awareness of and reinforce individual eating behaviours, in addition to tracking foods consumed. Advancements in the capabilities of technologies, such as smartphones and wearable devices, have enhanced the collection, analysis and interpretation of dietary intake data in both contexts. This Special Issue invites submissions on the use of novel technology-based approaches for the assessment of food and/or nutrient intake and for self-monitoring eating behaviours. Submissions may document any part of the development and evaluation of the technology-based approaches. Examples may include: web adaption of existing dietary assessment or self-monitoring tools (e.g., food frequency questionnaires, screeners) image-based or image-assisted methods mobile/smartphone applications for capturing intake for assessment or self-monitoring wearable cameras to record dietary intake or eating behaviours body sensors to measure eating behaviours and/or dietary intake use of technology-based methods to complement aspects of traditional dietary assessment or self-monitoring, such as portion size estimation.Research & information: generalbicsscBiology, life sciencesbicsscchildrendietary assessmentnutrientscarbohydrate countingprotein and fat countingcalorie countingautomatic bolus calculatorvoice description of mealsinsulin dosageglycemic controldiabetes mellitusnutritionfood measurementnutrient databaseenergy intakevalidityreliabilityfood frequency questionnairewebunder-reportingover-reportingmobile applicationsadultsnutritional sciencequalitative researchmobile food record24-h recalldevelopmental disabilitiesspina bifidadown syndrometechnologypediatricsimage-assisted methodinfantfood recorddoubly labeled waternutritional applicationsmartphoneDGAdietary behaviorshousehold food purchase behaviorobesityoverweight weight controlmobile technologiesWeb-based technologiesusabilityhuman factorsAutomated Self-Administered Dietary Assessment Tool (ASA24)24-h dietary recalllow socioeconomic statusdietassessmentfood logrecalldiet appsrecipe calculationsnutrient retentiondietary intake assessmenttechnological innovationsType 2 diabetes mellitusdiabetes managementdietary applicationphysical activityblood glucosemHealthsugar intakesdietary recordEast Asianschewing detectionAIMneural networksfood intake detectionvideo annotationsensor validationdiet assessmentrelative validityyoung adultsappsmobile appfruitsvegetablesself-monitoringhealthy dietshared plate eatinglower middle income countriesfood energy estimationgenerative modelsgenerative adversarial networksimage-to-energy mappingregressionseating activity detectionhand-to-mouth movementwrist-mounted motion tracking sensoraccelerometergyroscopetext messagestype 2 diabetesdiabetes self-care activitiescardiovascular disease risk awarenessfood availabilityfood choicesResearch & information: generalBiology, life sciencesBurrows Tracyedt1288395Rollo MeganedtBurrows TracyothRollo MeganothBOOK9910557147403321Advancement in Dietary Assessment and Self-Monitoring Using Technology3031960UNINA