Search results for "STATISTICS"

showing 10 items of 7671 documents

Glycemic Variability Assessment with a 14-Day Continuous Glucose Monitoring System: When and How Long to Measure MAGE (Mean Amplitude of Glucose Excu…

2021

Mean amplitude of glucose excursion (MAGE) is considered as the “gold standard” for assessing the short-term within-day glycemic variability (GV), which is an important component of overall glycemic control. A 14-day continuous glucose monitoring system is now widely used and allows easier assessment of GV. However, it is still unknown whether MAGE, usually calculated on a 48-hour period is identical whatever the time during the 14-day lifespan of the sensor and whether a longer time period might give additional information. We evaluated in 68 patients with type 1 diabetes, MAGE during three 2-day periods (day1-day3; day6-day8; day11-day13) and during periods of 3 days and 4 days. MAGE cal…

Blood Glucosemedicine.medical_specialtyEndocrinology Diabetes and MetabolismBiomedical Engineering030209 endocrinology & metabolismBioengineering030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineInternal medicineTechnology ReportsInternal MedicinemedicineHumansReliability (statistics)GlycemicType 1 diabetesContinuous glucose monitoringbusiness.industryBlood Glucose Self-MonitoringReproducibility of ResultsGold standard (test)Glucose excursionmedicine.diseaseGlucoseAmplitudeDiabetes Mellitus Type 2CardiologybusinessJournal of Diabetes Science and Technology
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Time-in-range for monitoring glucose control: Is it time for a change?

2021

The HbA1c value has been the gold standard for evaluating glucose control for decades. However, it has limitations such as the lack of information on glycemic variability or the risk of hypoglycemia. The increasing use of continuous glucose monitoring has provided patients and healthcare professionals with a range of useful metrics for the management of diabetes. Among them, Time in Range (TIR) is a simple and intuitive metric that gives information regarding the quality of glucose control. It is defined as the time spent in an individual's target glucose range. TIR is strongly correlated with HbA1c, and it has been linked to the risk of developing microvascular and macrovascular complicati…

Blood Glucosemedicine.medical_specialtyEndocrinology Diabetes and MetabolismControl (management)030209 endocrinology & metabolismType 2 diabetesHypoglycemia03 medical and health sciences0302 clinical medicineEndocrinologyDiabetes mellitusInternal MedicinemedicineRange (statistics)Humans030212 general & internal medicineGlycemicbusiness.industryBlood Glucose Self-MonitoringGeneral MedicineGold standard (test)medicine.diseaseHypoglycemiaDiabetes Mellitus Type 1Diabetes Mellitus Type 2Emergency medicineMetric (unit)businessDiabetes research and clinical practice
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Long-range interactions in 1D heterogeneous solids with uncertainty

2013

Abstract In this paper, the authors aim to analyze the response of a one-dimensional non-local elastic solid with uncertain Young's modulus. The non-local effects are represented as long-range central body forces between non-adjacent volume elements. Following a non-probabilistic approach, the fluctuating elastic modulus of the material is modeled as an interval field. The analysis is conducted resorting to a novel formulation that confines the overestimation effect involved in interval models. Approximate closed-form expressions are derived for the bounds of the interval displacement field.

Body forceNon-local elasticityField (physics)non-local elasticity; long-range interactions; interval field; upper bound and lower bound.Mathematical analysisModulusGeneral MedicineInterval (mathematics)Upper and lower boundsLong-range interactionLong-range interactionsInterval field; Long-range interactions; Non-local elasticity; Upper bound and lower boundDisplacement fieldRange (statistics)Interval fieldUpper bound and lower boundSettore ICAR/08 - Scienza Delle CostruzioniElastic modulusMathematics
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One-dimensional heterogeneous solids with uncertain elastic modulus in presence of long-range interactions: Interval versus stochastic analysis

2013

The analysis of one-dimensional non-local elastic solids with uncertain Young's modulus is addressed. Non-local effects are represented as long-range central body forces between non-adjacent volume elements. For comparison purpose, the fluctuating elastic modulus of the material is modeled following both a probabilistic and a non-probabilistic approach. To this aim, a novel definition of the interval field concept, able to limit the overestimation affecting ordinary interval analysis, is introduced. Approximate closed-form expressions are derived for the bounds of the interval displacement field as well as for the mean-value and variance of the stochastic response.

Body forcedecompositionRandom fieldNon-local elasticityStochastic processMechanical EngineeringMathematical analysisKarhunen-Loeve decompositionModulusInterval (mathematics)Karhunen–LoèveComputer Science ApplicationsInterval arithmeticResponse statisticsNon-local elasticity; Interval field; Random field; Karhunen–Loève; decomposition; Upper bound and lower bound; Response statisticsModeling and SimulationDisplacement fieldRandom fieldGeneral Materials ScienceInterval fieldUpper bound and lower boundSettore ICAR/08 - Scienza Delle CostruzioniElastic modulusCivil and Structural EngineeringMathematics
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Body Image Perception in Mexican University Athletes VS Non-Athletes

2014

The objective of this study consisted in determining the differences and similarities among Mexican University students who practice a sport on a regular basis with those who do not do, concerning their body image perception to their actual, ideal, social and body size dissatisfaction. A total sample of 304 male University students, aged 18-29 years participated in this study; 146 of them practice a sport and participate regularly in a tournament or competition. A quantitative approach with a descriptive and transversal survey design was used. All the participants completed the Contour Drawing Rating Scale adapted and computerized by [1]. The results of the one-way multivariate analysis of …

Body image perceptionbiologyAthletesFigure rating scaleOrganic ChemistrySurvey researchSample (statistics)Variance (accounting)biology.organism_classificationBiochemistryMultivariate analysis of varianceRating scalePsychologySocial psychologyClinical psychologyScience Journal of Public Health
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The influence of non-verbal body language on sport performance in professional tennis

2019

The main objective of this study was to analyse the relationship between players´ non-verbal body language and their performance in sport. The sample consists of a total of 477 actions from 40 players competing in the ATP Tour. All actions were taken from tie-breaks in official tournaments. The categories that were analyzed were previous performance, dominant non-verbal body language, submissive non-verbal body language, and performance later on. Results show how the players´ non verbal body language impacts on their performance later on.  Thus, we can conclude that following dominant non-verbal body language, the probabilities of better performance in the next point are greater than follow…

Body languageNonverbal communicationPoint (typography)Sample (statistics)PsychologyCognitive psychologyITF Coaching & Sport Science Review
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An Anthropometric Analysis of Seated and Standing People

2012

Thermal radiative exchanges of the human body with surrounding surfaces play an essential role in describing the thermal conditions of people in a given environment. Moreover, they could be induced by, among other causes, the presence of high intensity radiant sources, like lighting spots or infrared heating panels. This implies that a suitable set of radiation data related to human body anthropometry is required. This set of data mainly comprises the body surface area, the clothing area factor, the effective radiation area factor, and projected area factors. Several analytical or experimental methods may be utilized in order to compute these parameters. A detailed description of the most c…

Body surface areaeducation.field_of_studyDry Heat Exchanges clothing area factor effective radiation area factor projected area factors southern Italy.Settore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industrySample (material)PopulationAnthropometryClothingStatisticsProjected areaRadiative transferEnvironmental scienceeducationSet (psychology)business
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Five-year results following treatment of intrabony defects with enamel matrix proteins and guided tissue regeneration

2004

Treatment with enamel matrix proteins (EMD) or guided tissue regeneration (GTR) has been shown to enhance periodontal regeneration. However, until now there are limited data on the long-term results following these treatment modalities.The aim of the present clinical study was to present the 5-year results following treatment of intrabony defects with EMD, GTR, combination of EMD and GTR, and open flap debridement (OFD).Forty-two patients, each of whom displayed one intrabony defect of a probing depth of at least 6 mm, were randomly treated with one of the four treatment modalities. The following parameters were evaluated prior to surgery, at 1 year and at 5 years after: plaque index, gingi…

Bone RegenerationTreatment outcomeAlveolar Bone LossDentistryStatistics NonparametricRoot PlaningPrimary outcomeDental Enamel ProteinsHumansMedicineBone regenerationAnalysis of VarianceEnamel paintbusiness.industryOpen flap debridementRoot planingLong term resultsMiddle Agedvisual_artGuided Tissue Regeneration Periodontalvisual_art.visual_art_mediumPeriodonticsPeriodontal IndexbusinessEnamel matrix proteinsFollow-Up StudiesJournal of Clinical Periodontology
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Alternating model trees

2015

Model tree induction is a popular method for tackling regression problems requiring interpretable models. Model trees are decision trees with multiple linear regression models at the leaf nodes. In this paper, we propose a method for growing alternating model trees, a form of option tree for regression problems. The motivation is that alternating decision trees achieve high accuracy in classification problems because they represent an ensemble classifier as a single tree structure. As in alternating decision trees for classification, our alternating model trees for regression contain splitter and prediction nodes, but we use simple linear regression functions as opposed to constant predicto…

Boosting (machine learning)Computer scienceWeight-balanced treeDecision treeLogistic model treeStatistics::Machine LearningComputingMethodologies_PATTERNRECOGNITIONTree structureStatisticsLinear regressionAlternating decision treeGradient boostingSimple linear regressionAlgorithmProceedings of the 30th Annual ACM Symposium on Applied Computing
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Emergence of statistically validated financial intraday lead-lag relationships

2014

According to the leading models in modern finance, the presence of intraday lead-lag relationships between financial assets is negligible in efficient markets. With the advance of technology, however, markets have become more sophisticated. To determine whether this has resulted in an improved market efficiency, we investigate whether statistically significant lagged correlation relationships exist in financial markets. We introduce a numerical method to statistically validate links in correlation-based networks, and employ our method to study lagged correlation networks of equity returns in financial markets. Crucially, our statistical validation of lead-lag relationships accounts for mult…

Bootstrap methodFinancial market01 natural sciencesLead-lag correlation010305 fluids & plasmasFOS: Economics and businessCorrelationSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Statistically validated network0502 economics and business0103 physical sciencesStatisticsEconomicsEconometricsStock (geology)FinanceStatistical Finance (q-fin.ST)050208 financeHigh-frequency databusiness.industry05 social sciencesFinancial marketMarket efficiencyEquity (finance)Quantitative Finance - Statistical FinanceStock returnSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Economics Econometrics and Finance (all)2001 Economics Econometrics and Finance (miscellaneous)Multiple comparisons problemLead–lag compensatorbusinessGeneral Economics Econometrics and FinanceTransaction dataFinanceQuantitative Finance
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