Miracle-dz/UniFAR-FTUs huggingface dataset:
Bullying Prevention: How to Foster Positive Interactions Among Elementary Aged Youth

Bullying Prevention: How to Foster Positive Interactions Among Elementary Aged Youth By: Sara Johnson, LSW Research Chair: David Roseborough, Ph.D., LICSW, ACT Committee Members: Steven Oie, MSW; Nicole Johnston, LSW Bullying has been identified as one of the most widespread forms of violence encountered in U.S. schools, with 30% of children reporting being the victims of bullying sometime during their lives, and approximately 10% reporting being victimized on a regular basis. This research sought to identify common threads that seem important for individuals working with children in school settings to be aware of in order to effectively prevent and respond to bullying based on current prevention efforts and curriculum a sample of Minnesota schools are currently utilizing. A qualitative research design was used to obtain data from a sample of seven school social workers, and data reduction was used to interpret the findings. The findings indicated the importance of social skill development among students, the use of formal and informal curriculum and programming, community building and active supervision, and the bystander effect. The findings speak to the importance of school staff to create a positive school climate, utilize curriculum and other individualized interventions, develop positive relationships with students, increase the level of adult supervision within the schools, and ensure consistent expectations and common language throughout the school in order to effectively prevent and intervene when children are involved in bullying.
Dementia and mild cognitive impairment in patients with Parkinson's disease.

UNLABELLED The objective of this research was to assess the occurrence of cognitive impairment in 32 individuals (average age: 67.2 years old) with Parkinson' disease (PD). PROCEDURES clinical-neurological assessment; modified Hoehn and Yahr staging scale (HYS); standard neuropsychological battery of CERAD (Consortium to Establish a Registry for Alzheimer' Disease); Pfeffer questionnaire; and Clinical Dementia Rating. A comparison was made with a control group (CG), consisting of 26 individuals with similar age and educational level but without cognitive impairment. The PD patients showed an inferior performance in the CERAD battery when compared to the CG. Three PD sub-groups were characterised according to cognition: no cognitive impairment--15 cases; mild cognitive impairment--10; dementia--7 cases. There was a significant association between motor disability (HYS) and the occurrence of dementia. Dementia and mild cognitive impairment frequently occur in PD patients and should be investigated in a routine way.
A Radon-Nikodym theorem for von Neumann algebras

In this paper we present a generalization of the Radon-Nikodym theorem proved by Pedersen and Takesaki. Given a normal, semifinite and faithful (n.s.f.) weight $\phi$ on a von Neumann algebra M and a strictly positive operator $\delta$, affiliated with M and satisfying a certain relative invariance property with respect to the modular automorphism group $\sigma^\phi$ of $\phi$, with a strictly positive operator as the invariance factor, we construct the n.s. f. weight $\phi(\delta^{1/2} . \delta^{1/2})$. All the n.s. f. weights on M whose modular automorphisms commute with $\sigma^\phi$ are of this form, the invariance factor being affiliated with the centre of M. All the n.s. f. weights which are relatively invariant under $\sigma^\phi$ are of this form, the invariance factor being a scalar.
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

We present a simple and effective approach to incorporating syntactic structure into neural attention-based encoder-decoder models for machine translation. We rely on graph-convolutional networks (GCNs), a recent class of neural networks developed for modeling graph-structured data. Our GCNs use predicted syntactic dependency trees of source sentences to produce representations of words (i.e. hidden states of the encoder) that are sensitive to their syntactic neighborhoods. GCNs take word representations as input and produce word representations as output, so they can easily be incorporated as layers into standard encoders (e.g., on top of bidirectional RNNs or convolutional neural networks). We evaluate their effectiveness with English-German and English-Czech translation experiments for different types of encoders and observe substantial improvements over their syntax-agnostic versions in all the considered setups.
Body Burdens of Polybrominated Diphenyl Ethers among Urban Anglers

Polybrominated diphenyl ethers (PBDEs) have been widely used in the United States and worldwide as flame retardants. Recent PBDE production figures show that worldwide use has increased. To determine whether fish consumption is a source of PBDE exposure for humans, a cross-sectional epidemiologic study of New York and New Jersey urban anglers was conducted during the summers of 2001–2003. Frequency of local fish consumption was assessed by questionnaire, and blood samples for PBDE analysis were collected from 94 anglers fishing from piers on the lower Hudson River and Newark Bay. We analyzed PBDEs by gas chromatography–isotope dilution–high-resolution mass spectrometry. The congeners found in anglers’ serum at the highest concentrations were, by International Union of Pure and Applied Chemistry numbers, BDE-47, BDE-153, and BDE-99. Anglers reporting consumption of local fish had higher, but nonstatistically significantly different, concentrations of PBDEs than did anglers who did not eat local fish. For some congeners (BDE-100 and BDE-153), we observed moderate dose–response relationships between serum PBDE levels and frequency of reported fish intake. These findings suggest that consumption of locally caught fish is not a major route of human exposure for this study population.
Learning graphical models with hubs

We consider the problem of learning a high-dimensional graphical model in which there are a few hub nodes that are densely-connected to many other nodes. Many authors have studied the use of an ℓ1 penalty in order to learn a sparse graph in the high-dimensional setting. However, the ℓ1 penalty implicitly assumes that each edge is equally likely and independent of all other edges. We propose a general framework to accommodate more realistic networks with hub nodes, using a convex formulation that involves a row-column overlap norm penalty. We apply this general framework to three widely-used probabilistic graphical models: the Gaussian graphical model, the covariance graph model, and the binary Ising model. An alternating direction method of multipliers algorithm is used to solve the corresponding convex optimization problems. On synthetic data, we demonstrate that our proposed framework outperforms competitors that do not explicitly model hub nodes. We illustrate our proposal on a webpage data set and a gene expression data set.
Imaging Findings of Localized Lymphoid Hyperplasia of the Pancreas: a Case Report

We report here on a case of localized lymphoid hyperplasia of the pancreas in a 70-year-old man which manifested as double lesions (uncinate process and tail) in the organ. The lesions were incidentally detected as hypoechoic lesions on ultrasonography and they appeared as delayed enhancing lesions on the contrast-enhanced dynamic CT and MRI. Total pancreatectomy was performed, because malignant tumor could not be excluded according to the preoperative imaging studies and the endoscopic ultrasound-guided biopsy failed. Pathology revealed localized lymphoid hyperplasia. The patient had an uneventful postoperative course. He has been alive for 18 months after surgery.
Teachers' Generalized Expectations of Children of Divorce

This study examined teachers' generalized expectations for children living with their divorced vs married mothers. Teachers held significantly more negative expectations on 14 expectancy variables for children living with divorced mothers than for children living in traditional two-parent families. Teachers also had more negative expectations for boys living with divorced mothers than for girls from the same family setting, but there were no differences between teachers' expectations of boys and girls from traditional two-parent families. Results are discussed with respect to teachers' generalized expectations possibly becoming self-fulfilling prophecies.
Conducting research on mental health with refugees

This paper outlines the authors' experiences conducting research with refugee populations. Specifically the paper relates to Cooling's work with 60 refugees resettled in the Townsville community. This research addressed both positive (posttraumatic growth, resilience and acculturation) and negative (trauma exposure, PTSD, depression, anxiety and loss) mental health changes that occur as a result of the refugee experience. While the research that was conducted employed a positive psychology framework much of it was very sensitive in nature as it related to trauma and mental illness. Such mental health research with refugees entails numerous methodological issues that are rarely acknowledged in the conventional psychological literature. These include: problems with translating psychological scales and concepts across languages and cultures; potentially further traumatising already traumatised people; issues with confidentiality (especially when translators are required); issues with informed consent; issues with social desirability; and cultural differences in what is deemed appropriate to discuss. This paper will give a brief outline of the mental health of the sample studied before further discussing the aforementioned issues. While the limitations of Western-based scales and a quantitative approach are discussed, the importance of such research methods for understanding our diverse community is also outlined.
Extremal Regular Graphs: Independent Sets and Graph Homomorphisms

Abstract This survey concerns regular graphs that are extremal with respect to the number of independent sets and, more generally, graph homomorphisms. More precisely, in the family of of d-regular graphs, which graph G maximizes/minimizes the quantity i(G)1/v(G), the number of independent sets in G normalized exponentially by the size of G? What if i (G) is replaced by some other graph parameter? We review existing techniques, highlight some exciting recent developments, and discuss open problems and conjectures for future research.
A scalable optimization approach for fitting canonical tensor decompositions

Tensor decompositions are higher‐order analogues of matrix decompositions and have proven to be powerful tools for data analysis. In particular, we are interested in the canonical tensor decomposition, otherwise known as CANDECOMP/PARAFAC (CP), which expresses a tensor as the sum of component rank‐one tensors and is used in a multitude of applications such as chemometrics, signal processing, neuroscience and web analysis. The task of computing CP, however, can be difficult. The typical approach is based on alternating least‐squares (ALS) optimization, but it is not accurate in the case of overfactoring. High accuracy can be obtained by using nonlinear least‐squares (NLS) methods; the disadvantage is that NLS methods are much slower than ALS. In this paper, we propose the use of gradient‐based optimization methods. We discuss the mathematical calculation of the derivatives and show that they can be computed efficiently, at the same cost as one iteration of ALS. Computational experiments demonstrate that the gradient‐based optimization methods are more accurate than ALS and faster than NLS in terms of total computation time. Copyright © 2011 John Wiley & Sons, Ltd.
Slowing Down: Age-Related Neurobiological Predictors of Processing Speed

Processing speed, or the rate at which tasks can be performed, is a robust predictor of age-related cognitive decline and an indicator of independence among older adults. This review examines evidence for neurobiological predictors of age-related changes in processing speed, which is guided in part by our source based morphometry findings that unique patterns of frontal and cerebellar gray matter predict age-related variation in processing speed. These results, together with the extant literature on morphological predictors of age-related changes in processing speed, suggest that specific neural systems undergo declines and as a result slow processing speed. Future studies of processing speed – dependent neural systems will be important for identifying the etiologies for processing speed change and the development of interventions that mitigate gradual age-related declines in cognitive functioning and enhance healthy cognitive aging.
Two-dimensional Ising model on random lattices with constant coordination number.

We study the two-dimensional Ising model on networks with quenched topological (connectivity) disorder. In particular, we construct random lattices of constant coordination number and perform large-scale Monte Carlo simulations in order to obtain critical exponents using finite-size scaling relations. We find disorder-dependent effective critical exponents, similar to diluted models, showing thus no clear universal behavior. Considering the very recent results for the two-dimensional Ising model on proximity graphs and the coordination number correlation analysis suggested by Barghathi and Vojta [Phys. Rev. Lett. 113, 120602 (2014)PRLTAO0031-900710.1103/PhysRevLett.113. 120602], our results indicate that the planarity and connectedness of the lattice play an important role on deciding whether the phase transition is stable against quenched topological disorder.
Resistance Training with Single vs. Multi-joint Exercises at Equal Total Load Volume: Effects on Body Composition, Cardiorespiratory Fitness, and Muscle Strength

The present study aimed to compare the effects of equal-volume resistance training performed with single-joint (SJ) or multi-joint exercises (MJ) on VO2max, muscle strength and body composition in physically active males. Thirty-six participants were divided in two groups: SJ group (n = 18, 182.1 ± 5.2, 80.03 ± 2.78 kg, 23.5 ± 2.7 years) exercised with only SJ exercises (e.g., dumbbell fly, knee extension, etc.) and MJ group (n = 18, 185.3 ± 3.6 cm, 80.69 ± 2.98 kg, 25.5 ± 3.8 years) with only MJ exercises (e.g., bench press, squat, etc.). The total work volume (repetitions × sets × load) was equated between groups. Training was performed three times a week for 8 weeks. Before and after the training period, participants were tested for VO2max, body composition, 1 RM on the bench press, knee extension and squat. Analysis of covariance (ANCOVA) was used to compare post training values between groups, using baseline values as covariates. According to the results, both groups decreased body fat and increased fat free mass with no difference between them. Whilst both groups significantly increased cardiorespiratory fitness and maximal strength, the improvements in MJ group were higher than for SJ in VO2max (5.1 and 12.5% for SJ and MJ), bench press 1 RM (8.1 and 10.9% for SJ and MJ), knee extension 1 RM (12.4 and 18.9% for SJ and MJ) and squat 1 RM (8.3 and 13.8% for SJ and MJ). In conclusion, when total work volume was equated, RT programs involving MJ exercises appear to be more efficient for improving muscle strength and maximal oxygen consumption than programs involving SJ exercises, but no differences were found for body composition.
A correspondence between continuation passing style and static single assignment form

We define syntactic transformations that convert continuation passing style (CPS) programs into static single assignment form (SSA) and vice versa. Some CPS programs cannot be converted to SSA, but these are not produced by the usual CPS transformation. The CPS→SSA transformation is especially helpful for compiling functional programs. Many optimizations that normally require flow analysis can be performed directly on functional CPS programs by viewing them as SSA programs. We also present a simple program transformation that merges CPS procedures together and by doing so greatly increases the scope of the SSA flow information. This transformation is useful for analyzing loops expressed as recursive procedures.
Bruising in Slaughter Cattle and Its Relationship with Creatine Kinase Levels and Beef Quality as Affected by Animal Related Factors

The objective of the study was to determine the effects of animal related factors on bruising in slaughter cattle, creatine kinase (CK) and beef quality. Three hundred and twenty one cattle from three breeds (108 Bonsmara, 130 Beefmaster and 83 Brahman) were used in this study. The animals were grouped as follows: Group 1 (16 months old), Group 2 (18 months old) and Group 3 (24 months old). At exsanguinations, blood samples for CK determination were collected using disposable vacutainer tubes. Muscularis longissimus thoracis et lumborum (LTL) was collected 24 h after slaughter to determine the colour (L*, a*, and b*) and ultimate pH (pHu) of beef. Breed, sex and age had significant effects (p<0.05) on bruising score, CK levels and beef quality. Bonsmara breed had the highest (80%) bruising score percentage, CK (705.3±80.57 U/L) and pHu (6.3±0.05) values while the Bonsmara had the highest L* (24.8±0.78) a* (17.5±0.53) and b* (12.8±0.53) values. Higher CK levels were also observed in winter compared to summer, spring and autumn respectively. Therefore, animal factors (sex, breed and animal age at slaughter) contribute to the development of bruises and have an effect on the levels of CK and meat quality. It was also concluded that there is no significant relationship between meat parameters (L,* a*, and b*) and CK levels.
Lipid mobilization of long-distance migrant birds in vivo: the high lipolytic rate of ruff sandpipers is not stimulated during shivering

For long migrations, birds must rely on high flux capacities at all steps of lipid metabolism, from the mobilization of adipose reserves to fatty acid oxidation in flight muscle mitochondria. Substrate kinetics and indirect calorimetry were used to investigate key parameters of lipid metabolism in a highly aerobic shorebird: the ruff sandpiper Philomachus pugnax. In this study, we have quantified the effects of cold exposure because such measurements are presently impossible during flight. Lipolytic rate was monitored by continuous infusion of 2-[3H]-glycerol and lipid oxidation by respirometry. Plasma lipid concentrations (non-esterified fatty acids, neutral lipids and phospholipids) and their fatty acid composition were also measured to assess whether cold exposure causes selective metabolism of specific lipids. Results show that shivering leads to a 47% increase in metabolic rate (44.4±3.8 ml O2kg–1 min–1 to 65.2±8.1 ml O2 kg–1 min–1), almost solely by stimulating lipid oxidation (33.3± 3.3 ml O2 kg–1 min–1 to 48.2±6.8 ml O2 kg–1 min–1) because carbohydrate oxidation remains close to 11.5± 0.5 ml O2 kg–1 min–1. Sandpipers support an unusually high lipolytic rate of 55–60 μmol glycerol kg–1 min–1. Its stimulation above thermoneutral rates is unnecessary during shivering when the birds are still able to re-esterify 50% of released fatty acids. No changes in plasma lipid composition were observed, suggesting that cold exposure does not lead to selective metabolism of particular fatty acids. This study provides the first measurements of lipolytic rate in migrant birds and shows that their capacity for lipid mobilization reaches the highest values measured to date in vertebrates. Extending the limits of conventional lipid metabolism has clearly been necessary to achieve long-distance migrations.
Population pharmacokinetic analysis of carboxyhaemoglobin concentrations in adult cigarette smokers.

AIMS To develop a population-based model to describe and predict the pharmacokinetics of carboxyhaemoglobin (COHb) in adult smokers. METHODS Data from smokers of different conventional cigarettes (CC) in three open-label, randomized studies were analysed using NONMEM (version V, Level 1.1). COHb concentrations were determined at baseline for two cigarettes [Federal Trade Commission (FTC) tar 11 mg; CC1, or FTC tar 6 mg; CC2]. On day 1, subjects were randomized to continue smoking their original cigarettes, switch to a different cigarette (FTC tar 1 mg; CC3), or stop smoking. COHb concentrations were measured at baseline and on days 3 and 8 after randomization. Each cigarette was treated as a unit dose assuming a linear relationship between the number of cigarettes smoked and measured COHb percent saturation. Model building used standard methods. Model performance was evaluated using nonparametric bootstrapping and predictive checks. RESULTS The data were described by a two-compartment model with zero-order input and first-order elimination with endogenous COHb. Model parameters included elimination rate constant (k(10)), central volume of distribution (Vc/F), rate constants between central and peripheral compartments (k(12) and k(21)), baseline COHb concentrations (c0), and relative fraction of carbon monoxide absorbed (F1). The median (range) COHb half-lives were 1.6 h (0.680-2.76) and 30.9 h (7.13-367) (alpha and beta phases, respectively). F1 increased with increasing cigarette tar content and age, whereas k(12) increased with ideal body weight. CONCLUSION A robust model was developed to predict COHb concentrations in adult smokers and to determine optimum COHb sampling times in future studies.
The Zyxin‐related protein thyroid receptor interacting protein 6 (TRIP6) is overexpressed in Ewing's sarcoma and promotes migration, invasion and cell growth

Ewing's sarcoma (ES) is the second most common bone‐associated malignancy in children and is driven by the fusion oncogene EWS/FLI1 and characterised by rapid growth and early metastasis. Here, we explored the role of the Zyxin‐related protein thyroid receptor interacting protein 6 (TRIP6) in ES. The Zyxin family comprises seven homologous proteins involved in migration and proliferation of many cell types of which Zyxin has been described as a tumour suppressor in ES.
Freedom of the Press

The world system theory can provide a refreshingly different perspective of global press freedom. The starting point of assessing press freedom should be the world system, not the ‘atomistic’ nation-state, because one cannot understand the part without knowing the whole, which is more than the sum of the parts. This article proposes the application of a revised formulation of the world system theory – which presumes a capitalist world-economy dominated by three competing center-clusters each associated with a dependent hinterland of peripheral economic clusters – to examine global press freedom. It proposes a three-tiered typology for measuring press freedom at the world system, nation-state and individual levels. It suggests that press freedom indices should factor in the power of the center-clusters, themselves led by a hegemon cluster, to flood the hinterlands technologically with a barrage of information-communication.