99 research outputs found

    Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication

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    Mobile devices have been manufactured and enhanced at growing rates in the past decades. While this growth has significantly evolved the capability of these devices, their security has been falling behind. This contrast in development between capability and security of mobile devices is a significant problem with the sensitive information of the public at risk. Continuing the previous work in this field, this study identifies key Machine Learning algorithms currently being used for behavioral biometric mobile authentication schemes and aims to provide a comprehensive review of these algorithms when used with touch dynamics and phone movement. Throughout this paper the benefits, limitations, and recommendations for future work will be discussed

    California Census 2020 Statewide Funders Initiative Final Evaluation Report

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    The 2020 census was among the most fraught in recent history, with threats to a fair and complete count posed by the global pandemic and the federal administration's attempt to limit the inclusion of immigrants. Fortunately, funders and other stakeholders built on the lessons of census 2010, and the California Census 2020 Statewide Funders Initiative coordinated investments with the state to maximize the number of Californians counted. This report documents learnings from the California Census 2020 Statewide Funders Initiative

    The Effects of Energy Intake on Upper Respiratory Symptoms in Ultra-Endurance Triathletes

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    Background: It is unclear whether energy intake can impact the incidence of upper respiratory symptoms (URS). The purpose of this study was to examine if there are differences in energy intake between symptomatic (SYM) and asymptomatic (ASYM) groups of URS in Ironman-triathletes. Methods: Thirty-three subjects competing in the Lake Placid Ironman-triathlon (mean±SD; age,37±8y; height,178±8cm; mass,76.3±10.4kg; body fat,10.8±3.8%) were randomized into either the control (CON) or intervention (INT). INT consumed 4-commercial recovery drinks, two immediately post-race and two 3-hours post-race. Calorie and macronutrient intake were recorded pre-, during, and post-race. Subjects completed the Wisconsin URS Survey to assess URS over the next two weeks. Two analyses were done by comparing results between CON and INT, and when subjects were classified as either asymptomatic (ASYM=20) or symptomatic (SYM=13). Results: There were no differences in energy intake (p\u3e0.05) and URS (INT,32±38; CON,16±23; p=0.155). However, on the race day, SYM (9,044±2,598kcal) consumed less energy intake than ASYM (10,991±2497kcal) (p=0.044). Also, SYM consumed less energy the day before the race (p=0.031) and post-race (p=0.008). ASYM consumed greater carbohydrate the day before the race (p=0.032), fat the day of the race (p=0.006), carbohydrate post-race (p=0.08) and fat post-race (p=0.002). Conclusions: Overall energy intake was similar between CON and INT. However, when subjects were differentiated by URS, SYM consumed less calories the day before and day of the race versus ASYM

    Early risk factors of overweight developmental trajectories during middle childhood

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    Background Research is needed to identify early life risk factors associated with different developmental paths leading to overweight by adolescence. Objectives To model heterogeneity in overweight development during middle childhood and identify factors associated with differing overweight trajectories. Methods Data was drawn from the Quebec Longitudinal Study of Child Development (QLSCD; 1998- 2010). Trained research assistants measured height and weight according to a standardized protocol and conducted yearly home interviews with the child’s caregiver (mother in 98% of cases). Information on several putative early life risk factors for the development of overweight were obtained, including factors related to the child’s perinatal, early behavioral family and social environment. Group-based trajectories of the probability of overweight (6- 12 years) were identified with a semiparametric method (n=1678). Logistic regression analyses were used to identify early risk factors (5 months- 5 years) associated with each trajectory. Results Three trajectories of overweight were identified: “early-onset overweight” (11.0 %), “lateonset overweight” (16.6%) and “never overweight” (72.5%). Multinomial analyses indicated that children in the early and late-onset group, compared to the never overweight group, had 3 common types of risk factors: parental overweight, preschool overweight history, and large size for gestational age. Maternal overprotection (OR= 1.12, CI: 1.01-1.25), short nighttime sleep duration (OR=1.66, CI: 1.07-2.57), and immigrant status (OR=2.01, CI: 1.05-3.84) were factors specific to the early-onset group. Finally, family food insufficiency (OR=1.81, CI: 1.00-3.28) was weakly associated with membership in the late-onset trajectory group. Conclusions The development of overweight in childhood follows two different trajectories, which have common and distinct risk factors that could be the target of early preventive interventions

    Child Dev

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    We investigated whether child temperament (negative emotionality, 5 months) moderated the association between maternal stimulation (5 months-2½ years) and academic readiness and achievement (vocabulary, mathematics, and reading). We applied structural equation modeling to the data from the Quebec Longitudinal Study of Child Development (N = 1121-1448; mostly Whites; 47% girls). Compared to children with low negative emotionality, those with high negative emotionality had higher levels of academic readiness (6 years) and mathematics achievement (7 years) when exposed to high levels of maternal stimulation (β = 3.17, p < .01 and β = 2.91, p < .01, respectively). The results support the differential susceptibility model whereby highly emotionally negative children were more susceptible to the influences of low and high levels of maternal stimulation in academic readiness and mathematics achievement's developments

    Antioxidant Properties of Aminoethylcysteine Ketimine Decarboxylated Dimer: A Review

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    Aminoethylcysteine ketimine decarboxylated dimer is a natural sulfur-containing compound detected in human plasma and urine, in mammalian brain and in many common edible vegetables. Over the past decade many studies have been undertaken to identify its metabolic role. Attention has been focused on its antioxidant properties and on its reactivity against oxygen and nitrogen reactive species. These properties have been studied in different model systems starting from plasma lipoproteins to specific cellular lines. All these studies report that aminoethylcysteine ketimine decarboxylated dimer is able to interact both with reactive oxygen and nitrogen species (hydrogen peroxide, superoxide anion, hydroxyl radical, peroxynitrite and its derivatives). Its antioxidant activity is similar to that of Vitamin E while higher than other hydrophilic antioxidants, such as trolox and N-acetylcysteine

    The Role of Schools in Early Adolescents’ Mental Health: Findings from the MYRIAD Study

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    This is the author accepted manuscript. The final version is available on open access from Elsevier via the DOI in this recordData Sharing: The corresponding study protocol can be found at https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-017-1917-4. R code is available from the Open Science Framework (https://osf.io/s63fm/?view_only=5ae58f6c053c4a16b5ddfccd0e6e1ece). The baseline data and codebook from the MYRIAD trial is available from Prof. Kuyken ([email protected]) upon request (release of data is subject to an approved proposal and a signed data access agreement).Objective: Recent studies suggest deteriorating youth mental health. The current UK policy emphasises the role of schools for mental health promotion and prevention, but little data exist on what aspects of schools explain pupils’ mental health. We explored school-level influences on the mental health of young people in a large school-based sample from the UK. Methods: We analysed baseline data from a large cluster randomized controlled trial (ISRCTN 86619085) collected between 2016‒2018 from mainstream UK secondary schools selected to be representative in relation to their quality rating, size, deprivation, mixed or single-sex pupil population and country. Participants were pupils in their first or second year of secondary school. We assessed whether school-level factors were associated with pupil mental health. Results: 26,885 pupils (response rate=90%), aged 11‒14 years, 55% female, attending 85 UK schools, were included. Schools accounted for 2.4% (95% CI=2.0‒2.8; p<0.0001) of the variation in psychopathology, 1.6% (95% CI=1.2‒2.1; p<0.0001) of depression and 1.4% (95% CI=1.0‒1.7; p<0.0001) of well-being. Schools in urban locations, with a higher percentage of free school meals and of White British, were associated with poorer pupil mental health. A more positive school climate was associated with better mental health. Conclusion: School-level variables, primarily related to contextual factors, characteristics of their pupil population, and school climate explain a small but significant amount of variability in young people’s mental health. This might be used to identify schools that are in need of more resources to support young people’s mental health.Wellcome TrustNational Institute for Health Research (NIHR)Medical Research Council (MRC
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