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201
Behavioral Markers in Older Adults During COVID-19 Confinement: Secondary Analysis of In-Home Sensor Data
Published 2025-06-01“…We compared features derived from sensors for approximately one month before the COVID-19 outbreak (January 14, 2020-February 13, 2020) and one month after the onset of the pandemic (March 14, 2020-April 13, 2020). We used descriptive statistics and paired-sample t ResultsSensor data from 64 older adults were analyzed, the majority identifying as female (n=51, 80%), aged >76 years (n=58, 92%), and living alone (n=50, 78%). …”
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202
DIABETES RISK AND ASSOCIATIONS WITH DEMOGRAPHIC AND BEHAVIORAL FACTORS IN RUSSIAN POPULATION: DATA FROM THE ESSE-RF STUDY
Published 2017-10-01“…To evaluate 10-year risk of potential development of type 2 diabetes (DM) in Russian population with the FINDRISC score, and to assess its associations with social, demographic and behavioral factors by the data from epidemiological study ESSE-RF. …”
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203
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204
On the use of the stepped isostress method in the prediction of creep behavior of polyamide 6
Published 2022-10-01“…However, the performance of this method is highly dependent on the numerical model and the time spent in data processing. In this paper, the effect of the extrapolation techniques on the creep curves trend is investigated using the SSM data of Polyamide test. …”
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205
Identifying Driver Behavior in Preturning Maneuvers Using In-Vehicle CANbus Signals
Published 2018-01-01“…Our objective in this contribution is to categorize driver behavior in terms of preturning maneuvers. We analyze driving behavior in an urban environment prior to turns using data obtained from the CANbus of an instrumented vehicle during a one-hour driving period for 12 different individuals. …”
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206
Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning
Published 2023-06-01Get full text
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207
On the use of the stepped isostress method in the prediction of creep behavior of polyamide 6
Published 2022-09-01“…However, the performance of this method is highly dependent on the numerical model and the time spent in data processing. In this paper, the effect of the extrapolation techniques on the creep curves trend is investigated using the SSM data of Polyamide test. …”
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208
A Sensor-Enabled Smart Tray for Understanding Consumer Eating Behavior in a Restaurant
Published 2025-06-01“…This preliminary study explores the use of a smart tray prototype equipped with a weight sensor to analyze consumer eating behavior in real-life conditions. …”
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209
THE RELATIONSHIP BETWEEN BEHAVIOR OF USING REPEATED COOKING OILS AND RECURRENCE OF HYPERTENSION
Published 2021-05-01“…The sampling technique was carried out by purposive sampling with a sample size of 82 respondents. Collecting data using a questionnaire instrument with data processing using the T-score and Chi Square statistical test. …”
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210
Evaluation of the ratcheting behavior of Cr-Mo steel used in CNG tank
Published 2025-03-01“…In this paper, the ratcheting behavior of 25CrMo4 steel used in constructing of a CNG tank was investigated numerically. …”
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211
Promising or discouraging? Potentials and reactivity of real-time data collection in monitoring suicide-related thoughts and behaviors over weeks and months....
Published 2025-05-01“…Debriefings on participants’ thoughts and experiences were conducted via telephone interviews after EMA 1 (n = 68) and after EMA 2 (n = 51) using rating scales and open questions. Qualitative and quantitative methods were used to analyze the data. …”
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212
Factors influencing intentions to use Apple Pay: A behavioral perspective.
Published 2025-01-01“…The survey was distributed online via social media platforms. Data from 221 valid responses were analyzed using partial least squares structural equation modeling. …”
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213
Tobacco use behaviors in response to menthol restriction: A scoping review
Published 2025-02-01“…We extracted data from each study regarding: 1) target population (US vs non-US); 2) type of ban (hypothetical or actual menthol ban); and 3) behavioral responses, including intended outcomes (quitting), harm reduction options (switching to e-cigarettes), and unintended consequences (continuing or switching to non-menthol products). …”
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214
Adolescents' use of care for behavioral and emotional problems: types, trends, and determinants.
Published 2014-01-01“…<h4>Methods</h4>We obtained longitudinal data on 2,230 adolescents during ages 10-19 from four measurements regarding use of general care and specialized care (youth social care and mental healthcare) in the preceding 6 months, the Child Behavior Checklist (CBCL) and Youth Self-Report, and child and family characteristics. …”
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215
Classification of disciplinary practices for controlling children's behavior using cluster analysis
Published 2025-06-01“… The statistical method known as cluster analysis was used to classify a group of observations according to the types of disciplinary behaviors provided by parents and educational caregivers practiced on children according to the economic, social and demographic characteristics of the family. …”
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216
Examining Parents’ Views and Behaviors About Preschool Children’s Technology Use
Published 2024-04-01“…The purpose of this study is to examine the views and behaviors of parents of preschool children about their use of technology. …”
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217
Clustering and Investigation of Human Driving Behavior Using Autoencoder and Risk Assessment
Published 2025-01-01“…The autoencoder extracts features from the driving data and enables us to analyze the effects of shoe type on driving behavior. …”
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218
Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity
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219
Spatiotemporal understanding of behaviors of laying hens using wearable inertial sensors
Published 2024-12-01“…Furthermore, using the time-series information included in the sensor data, we analyzed the behavioral transition from one behavior to another. …”
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220
Modeling Customer Purchase Behavior in the Insurance Industry Using System Dynamics
Published 2025-03-01“…System dynamics is a powerful approach for modeling and simulation that has shown its applicability in analyzing and predicting the behavior of complex systems. Therefore, this article used this tool to model and simulate the impact of advertising on the behavior of life insurance customers and its relationship with revenue and asset management. …”
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