Miracle-dz/UniFAR-FTUs huggingface dataset:
Delivering, modifying or collaborating? Examining three teacher conceptions of how to facilitate student engagement

Across Australia, recent policy initiatives have focused on student engagement in school and in learning. Although teachers play a significant role in the implementation of these policy reforms, little research has looked at student engagement from teachers’ perspectives or sought to identify and understand the strategies teachers report using to promote engagement in their classrooms. The study reported in this paper utilised a phenomenographic approach to investigate teacher conceptions of how to facilitate student engagement. Semi‐structured interviews were used to gather data and a phenomenographic process of analysis was employed to identify qualitative differences between participant understandings. The data from this qualitative study indicated that teachers hold diverse understandings about how to facilitate student engagement; three categories described teachers’ ways of engaging students. In the first category, teachers conceptualised delivering set activities and discipline to students to promote engagement. In the second category, teachers suggested that they must modify curriculum and class activities. In the third category, teachers proposed that genuine collaboration with students was necessary to truly engage them in learning; in this category, teachers reported the deepest levels of student engagement. Teacher self‐reports of success when using a collaborative approach suggest that more research should be conducted using a range of approaches to investigate the fruitfulness of this strategy.
Scale effects in steering law tasks

Interaction tasks on a computer screen can technically be scaled to a much larger or much smaller sized input control area by adjusting the input device's control gain or the control-display (C-D) ratio. However, human performance as a function of movement scale is not a well concluded topic. This study introduces a new task paradigm to study the scale effect in the framework of the steering law. The results confirmed a U-shaped performance-scale function and rejected straight-line or no-effect hypotheses in the literature. We found a significant scale effect in path steering performance, although its impact was less than that of the steering law's index of difficulty. We analyzed the scale effects in two plausible causes: movement joints shift and motor precision limitation. The theoretical implications of the scale effects to the validity of the steering law, and the practical implications of input device size and zooming functions are discussed in the paper.
Novel Pharmacologic Candidates for Treatment of Primary Open-Angle Glaucoma

Primary open-angle glaucoma (OAG) affects approximately 45 million people worldwide and more than 2.5 million people aged 40 years or older in the United States. Pharmacologic treatment for glaucoma is directed towards lowering intraocular pressure (IOP) to slow disease progression and delay visual field loss. Current medical treatment options for the lowering of IOP include the following classes of topical medications: beta-adrenergic antagonists, alpha-adrenergic agonists, cholinergic agonists, carbonic anhydrase inhibitors, and prostaglandin analogs. Issues with existing drugs include failure to achieve target IOP with monotherapy, drug-related side effects, and low patient compliance with multiple daily administration of eye drops. In recent years, the scientific and medical community has seen encouraging development of novel classes of drugs for primary OAG, the majority of which lower IOP by targeting the trabecular meshwork outflow pathway to increase aqueous humor outflow. Among the most promising new pharmacologic candidates are rho kinase inhibitors including ripasudil (K-115), netarsudil (AR-13324), and AMA0076; adenosine receptor agonists including trabodenoson (INO-8875); and modified prostaglandin analogs including latanoprostene bunod (LBN, BOL-303259-X) and ONO-9054. This study aims to systematically review and summarize the most recent developments in clinical trials for new pharmacologic options for the treatment of primary open-angle glaucoma.
Geography and the Medicaid mental health care infrastructure: implications for health care reform.

IMPORTANCE Medicaid is the largest payer of mental health (MH) care in the United States, and this role will increase among states that opt into the Medicaid expansion. However, owing to the dearth of MH care providers who accept Medicaid, expanded coverage may not increase access to services. Facilities that provide specialty outpatient MH services and accept Medicaid compose the backbone of the community-based treatment infrastructure for Medicaid enrollees. For states that opt into the expansion, it is important to understand which local communities may face the greatest barriers to access these facilities. OBJECTIVE To examine the availability of outpatient MH facilities that accept Medicaid across US counties and whether specific types of communities are more likely to lack this infrastructure. DESIGN, SETTING, AND PARTICIPANTS Data from the 2008 National Survey of Mental Health Treatment Facilities and Area Resource File were merged. A generalized ordered logistic regression with state fixed effects was estimated to examine determinants of accessibility of these facilities. Covariates included the percentages of residents who are black, Hispanic, living in poverty, and living in a rural area. MAIN OUTCOMES AND MEASURES An ordered variable assessed whether a county had no access to outpatient MH facilities that accept Medicaid, intermediate access to these facilities (ie, ≥1 facility, but not top quintile of facility to Medicaid enrollee per capita ratio), or high access (ie, top quintile of facility to Medicaid enrollee per capita ratio). RESULTS More than one-third of counties do not have any outpatient MH facilities that accept Medicaid. Communities with a larger percentage of residents who are black (marginal effect [ME] = 3.9%; 95% CI, 1.2%-6.6%), Hispanic (ME = 4.8%; 95% CI, 2.3%-7.4%), or living in a rural area (ME = 27.9%; 95% CI, 25.3%-30.4%) are more likely to lack these facilities. CONCLUSIONS AND RELEVANCE Many communities may face constraints on the MH safety-net system as Medicaid is expanded, especially rural communities and communities with a large percentage of black or Hispanic residents.
Does Implementation Follow Design? A Case Study of a Workplace Health Promotion Program Using the 4-S Program Design and the PIPE Impact Metric Evaluation Models

Objective: The aim of this study was to describe the content of a multiyear market-based workplace health promotion (WHP) program and to evaluate design and implementation processes in a real-world setting. Methods: Data was collected from the databases of the employer and the service provider. It was classified using the 4-S (Size, Scope, Scalability, and Sustainability) and PIPE Impact Metric (Penetration, Implementation) models. Data analysis utilized both qualitative and quantitative methods. Results: Program design covered well the evidence-informed best practices except for clear path toward sustainability, cooperation with occupational health care, and support from middle-management supervisors. The penetration rate among participants was high (99%) and majority (81%) of services were implemented as designed. Conclusion: Study findings indicate that WHP market would benefit the use of evidence-based design principles and tendentious decisions to anticipate a long-term implementation process already during the planning phase.
Psychosocial Profile of Mexican American Youths Who Play Aggressive Video Games

The effects of video games on youths have been subject to debate. Some researchers have linked video games to behavioral and emotional problems, while others have found no adverse effects. The behavioral and emotional problems experienced by some gamers may be linked to certain types of video games. We hypothesized that Mexican American youths with lower socioeconomic status and who play “aggressive” video games have more emotional and behavioral problems than those who do not play such games. We examined a total of 579 youths using the Child Behavior Checklist and analyzing the games played within the last 6 months. Youths who played aggressive video games had higher scores and more emotional and behavioral problems compared with those who did not play aggressive video games.
Effect of Pre-Trial Diversion on Recidivism Among Misdemeanants in an Indiana County

ABSTRACT Misdemeanor offenders who participated in a pretrial diversion program were studied. Successful completion of pre-trial diversion in Vanderburgh County, Indiana, significantly reduced recidivism among first time offenders. It was found that 22 of the 243 offenders who completed the pre-trial diversion program (9%) had further contact with the court system during the follow-up period. During the same period, 53 of the 135 offenders who failed to complete the program (39%) had further arrests.
Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study

Introduction Individual-level immunization data captured electronically can facilitate evidence-based decision-making and planning. Populating individual-level records through manual data entry is time-consuming. An alternative is to use scannable forms, completed at the point of vaccination and subsequently scanned and exported to a database or registry. To explore the suitability of this approach for collecting immunization data, we conducted a feasibility study in two settings in Ontario, Canada. Methods and Findings Prior to the 2011–2012 influenza vaccination campaign, we developed a scannable form template and a corresponding database that captured required demographic and clinical data elements. We examined efficiency, data quality, and usability through time observations, record audits, staff interviews, and client surveys. The mean time required to scan and verify forms (62.3 s) was significantly shorter than manual data entry (69.5 s) in one organization, whereas there was no difference (36.6 s vs. 35.4 s) in a second organization. Record audits revealed no differences in data quality between records populated by scanning versus manual data entry. Data processing personnel and immunized clients found the processes involved to be straightforward, while nurses and managers had mixed perceptions regarding the ease and merit of using scannable forms. Printing quality and other factors rendered some forms unscannable, necessitating manual entry. Conclusions Scannable forms can facilitate efficient data entry, but certain features of the forms, as well as the workflow and infrastructure into which they are incorporated, should be evaluated and adapted if scannable forms are to be a meaningful alternative to manual data entry.
It's More than Personal: Development and Validation of a Multidimensional Privacy Orientation Scale

This study summarizes the development and validation of a multidimensional privacy orientation scale designed for measuring privacy attitudes of Social Network Site (SNS) users. Findings confirm the existence of four dimensions: 1) belief in the value of “privacy as a right”; 3) “other-contingent privacy”; 2) “concern about own informational privacy” and 4) “concern about privacy of others. ” Moreover, a segmentation of SNS users reveals three types of users: 1) privacy advocates, who are concerned about both their own and other people’s privacy; 2) privacy individualists, who are concerned mostly about their own privacy , and 3) privacy indifferents, whose score on all dimensions are lower than other segments . The results indicate that the four privacy orientation dimensions and three user segments predict key differences in terms of privacy protective behavior, information disclosure, and viewing personal information of others.
Polysomnography in Kleine-Levin syndrome

Background: Cause and pathogenesis of the Kleine-Levin syndrome (KLS), a recurrent hypersomnia affecting mainly male adolescents, remain unknown, with only scant information on the sleep characteristics during episodes. We describe findings obtained with polysomnography (PSG) and Multiple Sleep Latency Test (MSLT) and correlation obtained between clinical and PSG findings from different episodes. Method: Nineteen patients (17 male) were investigated with PSG and MSLT. Ten patients had data during both symptomatic episode and asymptomatic interval. The analyses considered day of onset of symptoms and relationship between this time of onset and day of recording during the symptomatic period. Results: When PSG was performed early (before the end of the first half of the symptomatic period), an important reduction in slow wave sleep (SWS) was always present with progressive return to normal during the second half (with percentages very similar to those monitored during the asymptomatic period) despite persistence of clinical symptoms. REM sleep remained normal in the first half of the episode but decreased in the second half: the differences between first and second half of episodes were significant for SWS (p = 0.014) and REM sleep (p = 0.027). The overall mean sleep latency at MSLT was 9.51 ± 4.82 minutes and 7 of 17 patients had two or more sleep onset REM periods during the symptomatic period. Conclusion: Important changes in sleep occur over time during the symptomatic period, with clear impairment of slow wave sleep at symptom onset. But Multiple Sleep Latency Test (MSLT) is of little help in defining sleep problems and findings from the MSLT do not correlate with symptom onset.
An Applied Framework for Incorporating Multiple Sources of Uncertainty in Fisheries Stock Assessments

Estimating fish stock status is very challenging given the many sources and high levels of uncertainty surrounding the biological processes (e.g. natural variability in the demographic rates), model selection (e.g. choosing growth or stock assessment models) and parameter estimation. Incorporating multiple sources of uncertainty in a stock assessment allows advice to better account for the risks associated with proposed management options, promoting decisions that are more robust to such uncertainty. However, a typical assessment only reports the model fit and variance of estimated parameters, thereby underreporting the overall uncertainty. Additionally, although multiple candidate models may be considered, only one is selected as the ‘best’ result, effectively rejecting the plausible assumptions behind the other models. We present an applied framework to integrate multiple sources of uncertainty in the stock assessment process. The first step is the generation and conditioning of a suite of stock assessment models that contain different assumptions about the stock and the fishery. The second step is the estimation of parameters, including fitting of the stock assessment models. The final step integrates across all of the results to reconcile the multi-model outcome. The framework is flexible enough to be tailored to particular stocks and fisheries and can draw on information from multiple sources to implement a broad variety of assumptions, making it applicable to stocks with varying levels of data availability The Iberian hake stock in International Council for the Exploration of the Sea (ICES) Divisions VIIIc and IXa is used to demonstrate the framework, starting from length-based stock and indices data. Process and model uncertainty are considered through the growth, natural mortality, fishing mortality, survey catchability and stock-recruitment relationship. Estimation uncertainty is included as part of the fitting process. Simple model averaging is used to integrate across the results and produce a single assessment that considers the multiple sources of uncertainty.
Correlates of Dissatisfaction in Marriage

A probability sample of 4452 households in Alameda County, California yielded 5163 adult respondents who were currently married and living with spouse. Their responses to six survey questions about their marriages were analyzed with race, sex, and age controlled. Black people were more likely than white to be dissatisfied with their marriages, as were people with low income or little education. People reporting physical illness or disability, low morale, isolation, depression or heavy drinking and people with few intimate associates were also more likely than others to be dissatisfied with their marriages. These findings suggest that unhappy marriage is a disability, analogous to minority race, economic deprivation or physical illness.
Cytokine genotypes correlate with pain and radiologically defined joint damage in patients with juvenile rheumatoid arthritis.

OBJECTIVES Single nucleotide polymorphisms (SNPs) in cytokine genes have been associated with risk of a number of autoimmune diseases. Moreover, some SNPs are associated with variations in rates of in vitro gene expression, and it is therefore possible that these functional polymorphisms may differentially affect inflammatory processes and disease outcome. This project's objective was to determine whether cytokine genotypes correlate with disease outcomes in patients with juvenile rheumatoid arthritis (JRA). METHODS Genotypes of SNPs of pro-inflammatory cytokines, tumour necrosis factor-alpha -308G -->A, interleukin-6 (IL-6) -174G -->C and interferon-gamma +874G -->A, and anti-inflammatory, immunosuppressive cytokines, interleukin-10 -1082G -->A, -819C -->T and -592A -->C and transforming growth factor-beta1 (TGF-beta1) codon 10T -->C and codon 25G -->C, were determined for patients with JRA who previously participated in a long-term outcome study. Cytokine genotypes and clinical variables showing significant correlations with clinical outcomes at the alpha = 0.100 level in univariate analyses were entered in multivariate tests. RESULTS In multivariate tests, the IL-6 genotype -174G/G was positively correlated with pain [regression coefficient B = 0.899, 95% confidence intervals (CI) 0.185, 1.612, P = 0.014]. The homozygous TGF-beta1 codon 25G/G genotype showed a protective effect against joint space narrowing on radiographs taken within 2 yr of disease onset, but confidence intervals were wide [odds ratio (OR) 0.176, 95% CI 0.037, 0.837 P = 0.029]. CONCLUSIONS The correlation of IL-6 genotype with pain and the possible association of the TGF-beta1 codon 25 genotype with short-term radiographic damage (G/C with greater risk and G/G with decreased risk) suggests that both these polymorphisms may be useful early prognostic indicators. Further studies of the relation between cytokine genotypes and outcomes in patients with all forms of juvenile idiopathic arthritis (JIA) are warranted.
The end curve theorem for normal complex surface singularities

We prove the "End Curve Theorem," which states that a normal surface singularity . X;o/ with rational homology sphere link 6 is a splice quotient singularity if and only if it has an end curve function for each leaf of a good resolution tree. An "end curve function" is an analytic function . X;o/! C; 0/ whose zero set intersects 6 in the knot given by a meridian curve of the exceptional curve corresponding to the given leaf. A "splice quotient singularity". X;o/ is described by giving an explicit set of equations describ- ing its universal abelian cover as a complete intersection in C t , wheret is the number of leaves in the resolution graph for.X;o/, together with an explicit description of the covering transformation group. Among the immediate consequences of the End Curve Theorem are the previously known results: . X;o/ is a splice quotient if it is weighted homogeneous (Neumann 1981), or rational or minimally elliptic (Okuma 2005).
Neural Network Matrix Factorization

Data often comes in the form of an array or matrix. Matrix factorization techniques attempt to recover missing or corrupted entries by assuming that the matrix can be written as the product of two low-rank matrices. In other words, matrix factorization approximates the entries of the matrix by a simple, fixed function---namely, the inner product---acting on the latent feature vectors for the corresponding row and column. Here we consider replacing the inner product by an arbitrary function that we learn from the data at the same time as we learn the latent feature vectors. In particular, we replace the inner product by a multi-layer feed-forward neural network, and learn by alternating between optimizing the network for fixed latent features, and optimizing the latent features for a fixed network. The resulting approach---which we call neural network matrix factorization or NNMF, for short---dominates standard low-rank techniques on a suite of benchmark but is dominated by some recent proposals that take advantage of the graph features. Given the vast range of architectures, activation functions, regularizers, and optimization techniques that could be used within the NNMF framework, it seems likely the true potential of the approach has yet to be reached.
No association between apolipoprotein E epsilon 4 allele and rate of decline in Alzheimer's disease.

OBJECTIVE The relationship between number of apolipoprotein E epsilon 4 (APOE epsilon 4) alleles and the rate of cognitive decline in patients with Alzheimer's disease was examined. METHOD Rate of decline in score on the Mini-Mental State was measured during the active phase of the decline curve between Mini-Mental State scores of 23 and 0. To characterize onset, the authors also estimated for each subject the age at which the Mini-Mental State score fell below 23 and obtained a retrospective report of age at onset from the caregiver. The number of APOE epsilon 4 alleles carried by each subject was determined from genomic DNA samples. The study included 86 subjects with probable Alzheimer's disease who had had at least two cognitive evaluations (a mean of 5.6 evaluations per subject over an average period of 3.6 years). RESULTS The results did not support an association between APOE epsilon 4 dosage and rate of cognitive decline. Age at onset and age at which the Mini-Mental State score fell below 23 were also not related to APOE epsilon 4 dosage. The APOE allele frequencies were similar to those in other studies of subjects with Alzheimer's disease, showing an enrichment of the epsilon 4 allele. CONCLUSIONS Although the APOE epsilon 4 allele is a risk factor for Alzheimer's disease, there is no support of a strong association between APOE epsilon 4 dosage and rate of cognitive decline. The epsilon 4 allele did not predict age at onset. Methodological inconsistencies may account for discrepancies between these results and previous findings.
Finger printing of mycobacterium tuberculosis in patients with intracranial tuberculomas by using in vivo, ex vivo, and in vitro magnetic resonance spectroscopy

In vivo, ex vivo, and in vitro proton magnetic resonance spectroscopy was performed in 12 patients with intracranial tuberculomas with an aim of detecting the biochemical constituents of Mycobacterium tuberculosis in a granuloma. One dimensional (1D) single pulse and spin‐echo sequences and 2D correlative spectroscopy were used for the ex vivo study to confirm the resonances seen on in vivo study. Spectroscopic studies of the perchloric acid and lipid extract of granuloma and M. tuberculosis were performed to look for similarity of resonance. In vivo study showed the presence of lipids at 0.9, 1.3, 2.0, 2.8 ppm, and phosphoserine at 3.7 ppm. All these resonances were confirmed on ex vivo study. In addition, distinct resonances of serine and phenolic lipids were seen on ex vivo and in vitro study of tuberculous granuloma, which have not been observed in other intracranial tumors. Lipid extract of granuloma and M. tuberculosis showed phenolic lipids at 7.1 and 7.4 ppm, a constituent of the cell wall of the bacteria in a tuberculoma. It appears that it may be possible to finger print the biochemicals of the cell wall of M. tuberculosis in a tuberculous granuloma and thus may help in detection and diagnosis of such lesions.