Miracle-dz/UniFAR-FTUs huggingface dataset:
Mediators of Physical Activity Behavior Change in the "Girls on the Move" Intervention.

BACKGROUND The minimal effect of interventions to date on increasing young adolescent girls' physical activity (PA) may be due to inadequate understanding of the mechanisms underlying behavior change, yet sparse research testing a PA intervention has examined the capacity of theories to explain PA, particularly when using objective measures. OBJECTIVES To examine whether constructs from the Health Promotion Model and Self-Determination Theory mediated changes in moderate-to-vigorous physical activity (MVPA) following a 17-week intervention. METHODS The study was a secondary analysis of data from a group randomized trial, including 12 intervention and 12 control schools in the Midwestern U.S. Data were collected in 2012-2016. Girls (5-8 grade; N = 1519) completed surveys on perceived benefits and enjoyment of PA, PA self-efficacy, social support and motivation for PA, and barriers to PA and wore accelerometers. RESULTS The final path model had a good fit: χ(21) = 1712.44, p < . 001; GFI = 0.75; CFI = 0.32; RMSEA= 0.23; SRMR= 0.19. For MVPA change from baseline to post-intervention, enjoyment (B = 24.48, p < .001) and social support (B = 30.48, p < .001) had a positive direct effect, while the intervention had a positive indirect effect through enjoyment and social support (B = 9.13, p < .001). Enjoyment (B = -13.83, p < .001) and social support (B = -17.22, p < .001) had a negative indirect effect on MVPA change from post-intervention to follow-up. DISCUSSION Enjoyment of PA and social support for PA may be important mediators of PA in young adolescent girls and warrant consideration when designing interventions.
Nonfragile H∞ filtering for discrete multirate time‐delayed systems over sensor networks characterized by Gilbert‐Elliott models

In this article, the nonfragile H∞ filtering problem is investigated for a class of discrete multirate time‐delayed systems over sensor networks. The probabilistic packet dropout occurs during the information transmissions among the sensor nodes in the sensor network characterized by the Gilbert‐Elliott model. In order to take the multirate sampling into account, the state updating period of the system and the sampling period of the sensors are allowed to be different. The variation of the filter gain is considered to reflect the physical errors with the filter implementation. The aim of this article is to design a set of nonfragile filters such that, in the presence of multirate sampling, time‐delays, and packet dropouts, the filtering error dynamics is exponentially mean‐square stable and also satisfies the H∞ performance requirement. By using the Lyapunov‐Krasovskii functional approach, a sufficient condition is derived, which ensures the exponential mean‐square stability and the H∞ performance requirement of the filtering error dynamics. Then, the filter gains are characterized in terms of the solution to a set of matrix inequalities. Finally, a simulation example is provided to demonstrate the effectiveness of the proposed filtering scheme.
Into the Field With Foundations: Social Foundations of Education and University/Public School Partnerships

Abstract Historically, the knowledge, critical skills, and dispositions to be learned in educational foundations courses are explored within the confines of university classrooms, disconnected from the messy and complex realities in local public schools. Because the vast majority of university students in education courses are white and middle to upper-middle class, it is often difficult for them to see beyond their own experiences in school and understand the experiences of students who are members of marginalized or disenfranchized groups. This was the impetus for developing a model of place-based learning for university students—a model to help them develop stronger and more meaningful connections between theory and practice, a stronger sense of familiarity with students and teachers in the local community, and to give them hands-on experience building the trusting relationships with young people that are essential for deep learning. The partnership study described in this paper was intended to help students more deeply understand and apply concepts and theories being taught in a social foundations of education course, thereby shedding light on systemic inequalities that often exist within public schools.
A Mobile Application to Collect Daily Data on Preexposure Prophylaxis Adherence and Sexual Behavior Among Men Who Have Sex With Men: Use Over Time and Comparability With Conventional Data Collection

Background We studied the use of a mobile application (app) to measure human immunodeficiency virus (HIV) preexposure prophylaxis (PrEP) adherence and sexual behavior, assessed determinants of app use, and we compared data in app and questionnaires. Methods Men who have sex with men participating in the Amsterdam PrEP project (AMPrEP) on daily or event-driven PrEP at the Public Health Service of Amsterdam completed the data on sexual risk behavior and PrEP adherence through a standard questionnaire every 3 months and on a daily basis using the project's app. Regression analyses were used to assess factors associated with app use. Among those who reported 90% or greater of data in the app, the number of PrEP pills taken and number of unknown casual sex partners were compared between the app and the questionnaires by Wilcoxon signed-rank test. Results Of all participants (n = 374), 94% (352 of 374) reported data in the app at least once; 72% (261 of 362) reported data ≥90% of the days in the sixth month and 62% (222 of 359) in the 12th month following PrEP initiation. Factors associated with reporting data in the app were using daily PrEP and recent initiation of PrEP. The reported numbers of pills taken and unknown sexual partners were comparable between app and questionnaires. Conclusions The AMPrEP app was used frequently, especially by those using a daily PrEP regimen. Data collected by app regarding adherence and sexual risk behavior were consistent with questionnaire data among those who used the app consistently. An app is a promising tool to measure PrEP adherence and sexual risk behavior.
Charting Cognitive Growth of Nursing Students Using Linguistic Software.

BACKGROUND Students' word choice when writing in a reflective journal may reveal their emotional development, sense of belonging, cognitive processing, and ability to appraise their own growth and understanding. New linguistic analysis software can scan and categorize these journals for the use of pronouns, positive and negative emotions, and cognitive keywords. METHODS A retrospective study design evaluated student journaling from a psychiatric clinical course. Journal entries from weeks 1 and 12 were compared by z-score analysis. FINDINGS Significant increases were found in the use of "we" (P = .001), positive emotions (P < .001), inclusion words (P < .001), and insight words (P = .004), whereas the use of cause and self-discrepancy words were not significantly different. CONCLUSION Identification of learning as expressed in words could have an impact on how student assignments are designed by including the use of the Linguistic Inquiry and Word Count software to assess changes in student cognition.
A graph-based approach for the structural analysis of road and building layouts

ABSTRACT A better understanding of the relationship between the structure and functions of urban and suburban spaces is one of the avenues of research still open for geographical information science. The research presented in this paper develops several graph-based metrics whose objective is to characterize some local and global structural properties that reflect the way the overall building layout can be cross-related to the one of the road layout. Such structural properties are modeled as an aggregation of parcels, buildings, and road networks. We introduce several computational measures (Ratio Minimum Distance, Minimum Ratio Minimum Distance, and Metric Compactness) that respectively evaluate the capability for a given road to be connected with the whole road network. These measures reveal emerging sub-network structures and point out differences between less-connective and more-connective parts of the network. Based on these local and global properties derived from the topological and graph-based representation, and on building density metrics, this paper proposes an analysis of road and building layouts at different levels of granularity. The metrics developed are applied to a case study in which the derived properties reveal coherent as well as incoherent neighborhoods that illustrate the potential of the approach and the way buildings and roads can be relatively connected in a given urban environment. Overall, and by integrating the parcels and buildings layouts, this approach complements other previous and related works that mainly retain the configurational structure of the urban network as well as morphological studies whose focus is generally limited to the analysis of the building layout.
A Novel Method for Extracting Hierarchical Functional Subnetworks Based on a Multisubject Spectral Clustering Approach

Brain network modularity analysis has attracted increasing interest due to its capability in measuring the level of integration and segregation across subnetworks. Most studies have focused on extracting modules at a single level, although brain network modules are known to be organized in a hierarchical manner. A few techniques have been developed to extract hierarchical modularity in human functional brain networks using resting-state functional magnetic resonance imaging (fMRI) data; however, the focus of those methods is binary networks produced by applying arbitrary thresholds of correlation coefficients to the connectivity matrices. In this study, we propose a new multisubject spectral clustering technique, called group-level network hierarchical clustering (GNetHiClus), to extract the hierarchical structure of the functional network based on full weighted connectivity information. The most reliable results of hierarchical clustering are then estimated using a bootstrap aggregation algorithm. Specifically, we employ a voting-based ensemble method, that is, majority voting; random subsamples with replacement are created for clustering brain regions, which are further aggregated to select the most reliable clustering results. The proposed method is evaluated over a range of group sample sizes, based on resting-state fMRI data from the Human Connectome Project. Our results show that GNetHiClus can extract relatively consistent hierarchical network structures across a range of sample sizes investigated. In addition, the results demonstrate that GNetHiClus can hierarchically cluster brain functional networks into specialized subnetworks from upper-to-lower level, including the high-level cognitive and the low-level perceptual networks. Conversely, from lower-to-upper level, information processed by specialized lower level subnetworks is integrated into upper level for achieving optimal efficiency for brain functional communications. Importantly, these findings are consistent with the concept of network segregation and integration, suggesting that the proposed technique can be helpful to promote the understanding of brain network from a hierarchical point of view.
Monte Carlo simulations of protein micropatterning in biomembranes: effects of immobile sticky obstacles

Single molecule trajectories of lipids and proteins can yield valuable information about the nanoscopic organization of the plasma membrane itself. The interpretation of such trajectories, however, is complicated, as the mobility of molecules can be affected by the presence of immobile obstacles, and the transient binding of the tracers to these obstacles. We have previously developed a micropatterning approach that allows for immobilizing a plasma membrane protein and probing the diffusional behavior of a putative interaction partner in living cells. Here, we provide guidelines on how this micropatterning approach can be extended to quantify interaction parameters between plasma membrane constituents in their natural environment. We simulated a patterned membrane system and evaluated the effect of different surface densities of patterned immobile obstacles on the relative mobility as well as the surface density of diffusing tracers. In the case of inert obstacles, the size of the obstacle can be assessed from its surface density at the percolation threshold, which in turn can be extracted from the diffusion behavior of the tracer. For sticky obstacles, 2D dissociation constants can be determined from the tracer diffusion or surface density.
The Role of Snail Homolog 1 in Embryonic Stem Cell Differentiation

OF THE DISSERTATION The Role of Snail Homolog 1 in Embryonic Stem Cell Differentiation by Jennifer Gibson Gill Doctor of Philosophy in Biology and Biomedical Sciences Immunology Washington University in St. Louis, 2012 Professor Kenneth M. Murphy, Chairperson During gastrulation, epiblast cells undergo an epithelial-to-mesenchymal transition (EMT) as they ingress through the primitive streak and form mesoderm. To better understand the molecular pathways of EMT during this developmental transition, we developed a model system utilizing mouse embryonic stem (ES) cells. We show that EMT occurs during ES cell differentiation and is dependent on the Wnt signaling pathway. We further show that the Wnt-dependent transcription factor Snail homolog 1 (Snail) is expressed and capable of inducing EMT in differentiating ES cells. In addition to EMT, Snail accelerates differentiation, promotes mesoderm commitment, and restricts markers of primitive ectoderm and epiblast. Snail's impact on differentiation can be partly explained through its repression of ES cell-associated microRNAs, including the miR-200 family. The miR-200 family is down-regulated in a Wnt-dependent manner during ES cell differentiation. We find that maintenance of miR-200 expression prevents EMT and stalls differentiating ES cells at
Induction of SOS function in Escherichia coli by some mycotoxins

The genotoxic activity of 11 mycotoxins was investigated in Escherichia coli K12. The induction of the SOS function s fi A whose level of expression is monitored by means of a s fi A :: lac Z operon fusion was assayed by measuring the β-galactosidase activity in the PQ 37 strain. Most of these fungal metabolites did not induce SOS response in this bacterial test. Only aflatoxicol, a reduced metabolite of aflatoxin B1, was well detected as an SOS inducer if metabolic activation was performed. Patulin, penicillic acid, and viomellein were only weak inducing agents. The other fungal compounds tested failed to demonstrate a positive SOS inducing activity. The relationship between the SOS Chromotest, mutagenicity to Salmonella typhimurium, and in vivo carcinogenicity was discussed.
Newborn vitamin D levels in relation to autism spectrum disorders and intellectual disability: A case–control study in california

Vitamin D deficiency has been increasing concurrently with prevalence of autism spectrum disorders (ASD), and emerging evidence suggests vitamin D is involved in brain development. Most prior studies of ASD examined vitamin D levels in children already diagnosed, but a few examined levels during perinatal development, the more likely susceptibility period. Therefore, we examined newborn vitamin D levels in a case–control study conducted among births in 2000–2003 in southern California. Children with ASD (N = 563) or intellectual disability (ID) (N = 190) were identified from the Department of Developmental Services and compared to population controls (N = 436) identified from birth certificates. 25‐hydroxyvitamin D (25(OH)D) was measured in archived newborn dried blood spots by a sensitive assay and corrected to sera equivalents. We categorized 25(OH) D levels as deficient (<50 nmol/L), insufficient (50–74 nmol/L), and sufficient (≥75 nmol/L), and also examined continuous levels, using logistic regression. The adjusted odds ratios (AOR) and 95% confidence intervals for ASD were 0.96 (0.64–1.4) for 25(OH)D deficiency (14% of newborns) and 1.2 (0.86–1.6) for insufficiency (26% of newborns). The AORs for continuous 25(OH)D (per 25 nmol/L) were 1.0 (0.91–1.09) for ASD and 1.14 (1.0–1.30) for ID. Thus, in this relatively large study of measured newborn vitamin D levels, our results do not support the hypothesis of lower 25(OH)D being associated with higher risk of ASD (or ID), although we observed suggestion of interactions with sex and race/ethnicity. 25(OH)D levels were relatively high (median 84 nmol/L in controls), so results may differ in populations with higher prevalence of low vitamin D levels. Autism Res 2019, 12: 989–998. © 2019 International Society for Autism Research, Wiley Periodicals, Inc.
Antibody‐Based Ticagrelor Reversal Agent in Healthy Volunteers

Background Ticagrelor is an oral P2Y12 inhibitor that is used with aspirin to reduce the risk of ischemic events among patients with acute coronary syndromes or previous myocardial infarction. Spontaneous major bleeding and bleeding associated with urgent invasive procedures are concerns with ticagrelor, as with other antiplatelet drugs. The antiplatelet effects of ticagrelor cannot be reversed with platelet transfusion. A rapid‐acting reversal agent would be useful. Methods In this randomized, double‐blind, placebo‐controlled, phase 1 trial, we evaluated intravenous PB2452, a monoclonal antibody fragment that binds ticagrelor with high affinity, as a ticagrelor reversal agent. We assessed platelet function in healthy volunteers before and after 48 hours of ticagrelor pretreatment and again after the administration of PB2452 or placebo. Platelet function was assessed with the use of light transmission aggregometry, a point‐of‐care P2Y12 platelet‐reactivity test, and a vasodilator‐stimulated phosphoprotein assay. Results Of the 64 volunteers who underwent randomization, 48 were assigned to receive PB2452 and 16 to receive placebo. After 48 hours of ticagrelor pretreatment, platelet aggregation was suppressed by approximately 80%. PB2452 administered as an initial intravenous bolus followed by a prolonged infusion (8, 12, or 16 hours) was associated with a significantly greater increase in platelet function than placebo, as measured by multiple assays. Ticagrelor reversal occurred within 5 minutes after the initiation of PB2452 and was sustained for more than 20 hours (P<0.001 after Bonferroni adjustment across all time points for all assays). There was no evidence of a rebound in platelet activity after drug cessation. Adverse events related to the trial drug were limited mainly to issues involving the infusion site. Conclusions In healthy volunteers, the administration of PB2452, a specific reversal agent for ticagrelor, provided immediate and sustained reversal of the antiplatelet effects of ticagrelor, as measured by multiple assays. (Funded by PhaseBio Pharmaceuticals; ClinicalTrials.gov number, NCT03492385.)
Dual Measures of Sexual Consent: A Confirmatory Factor Analysis of the Internal Consent Scale and External Consent Scale

Sexual assault, often defined as nonconsensual sex, is a problem among college students. Universities have made efforts to increase student awareness about sexual consent, which varies along two dimensions: internal feelings of wantedness and external expressions of consent. However, interventions focus on increasing knowledge of the external expression of consent despite the importance of both dimensions for effective sexual communication. A validated research tool that captures students’ ecological experiences along both dimensions is critical. The current study aimed to replicate and validate the factor structure of the Internal Consent Scale (ICS) and External Consent Scale (ECS) in a sample of 610 undergraduate students and to expand on prior work by examining associations with relationship to partner and sexual orientation. Confirmatory factor analyses (CFA) provided support for the ICS in its current form (i.e., model fit and factor loadings for the ICS were good). Although model fit for the ECS was good, one subscale, no response signals, had poor factor loadings (.16, .38); thus, suggestions are offered to improve its psychometric properties. Despite limitations of the ECS, these dual measures fill a gap in the consent literature by providing a tool to quantify internal and external aspects of sexual consent.
School efforts to promote parental involvement: the contributions of school leaders and teachers

ABSTRACT School leaders and teachers are two important agents within the school organisation to promote parental involvement. The aim of the study was to investigate how school leaders and teachers foster parents’ involvement in their children’s education. It was hypothesised that both transformational school leadership for the support of parental involvement and inviting behaviour from the part of teachers encourage parents to become more strongly involved with their child’s education. Surveys were administered to 2,151 parents and 90 teachers of 18 elementary schools spread across Java, Indonesia and analysed using multilevel regression analyses. Results showed that transformational leadership did not have significant direct effects on parental involvement. Significant effects were found of teacher invitations on parental involvement. In particular, teacher invitations contributed to school-based parental involvement, such as recruiting parents as volunteers and involvement in decision-making at school.
Is Biodiversity a Relevant Attribute for Assessing Natural Parks? Evidence from Cornalvo Natural Park in Spain

The economic valuation of goods that do not have a market, like services offered by natural parks, provide a lot of information for the purpose of policy making on the conservation and protection of the natural environment, as well as for establishing park use strategies for potential park visitors. In this respect, this paper aims to analyse visitor preferences for Cornalvo Natural Park, which has been classed, since 1992, as a Site of Community Importance. To do this, we conducted an analysis adopting the choice experiment methodology to determine visitor preferences for a set of attributes. Additionally, we included a visitor preference heterogeneity analysis based on a mixed logit model in order to calculate individual willingness to pay with respect to a set of previously specified attributes. Finally, we also implemented the latent class methodology to define groups of individuals with similar characteristics. The information was gathered from visitor surveys conducted during 2019. The main results show that tourists had a high preference and willingness to pay for higher biodiversity levels and lower numbers of visitors, whereas the other attributes were less relevant. Additionally, we detected some degree of heterogeneity in willingness to pay by sex, age and income. Finally, Latent class analysis identified two visitor classes, determined primarily by age and income.
Global Crisis Leadership for Disease‐Induced Threats: One Health and Urbanisation

Abstract The concept of ‘One Health’ (OH) has gathered momentum among the public health and animal health communities as an important global policy agenda for drawing together these disciplines to inform urban planning and health security policies. OH research, from a risk governance perspective, is generally concerned with identifying preventative programmes that can minimise the threats posed by diseases at the animal‐human interface (e.g. Corona virus, Ebola, avian influenza, the Q virus, for example). This article, by drawing on examples of disease threats, discusses the multi‐level challenges of establishing OH with a particular focus on urban change. It considers the risks posed by the increasing urbanisation of animal habitats and what this means for achieving OH. The article concludes by discussing why social scientists need to pay greater attention to the concept of OH.