Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning styles as a basis for paddlesports instruction: A review of the literature and some alternatives to add to the conversation

I have a confession: I have never quite figured out how to do this. I’ve been teaching paddlesports for over ten years now, and other outdoor activities and content areas for nearly 20, and I still struggle with the idea of learning styles. Don’t get me wrong: I have watched students doze off because I’ve talked too much and others flip their boats because I haven’t sufficiently helped them acquire a ‘feel’ for a particular skill, so I know people have diverse aptitudes I need to address somehow. And I’m always trying to find better ways to reach them – it just doesn’t seem possible That’s right the ACA National Paddlesports Conference will be held in Bend, OR for 2013. Join us September 27-29 for education, stewardship, recreation and competition. For more information as it is available please visit www.americancanoe. org/ NPC Learning Styles as a Basis for Paddlesports Instruction By Jayson Seaman
Involvement of SenC in Assembly of Cytochrome c Oxidase in Rhodobacter capsulatus

ABSTRACT SenC, a Sco1 homolog found in the purple photosynthetic bacteria, has been implicated in affecting photosynthesis and respiratory gene expression, as well as assembly of cytochrome c oxidase. In this study, we show that SenC from Rhodobacter capsulatus is involved in the assembly of a fully functional cbb3-type cytochrome c oxidase, as revealed by decreased cytochrome c oxidase activity in a senC mutant. We also show that a putative copper-binding site in SenC is required for activity and that a SenC deletion phenotype can be rescued by the addition of exogenous copper to the growth medium. In addition, we demonstrate that a SenC mutation has an indirect effect on gene expression caused by a reduction in cytochrome c oxidase activity. A model is proposed whereby a reduction in cytochrome c oxidase activity impedes the flow of electrons through the respiratory pathway, thereby affecting the oxidation/reduction state of the ubiquinone pool, leading to alterations of photosystem and respiratory gene expression.
Lasting Effects of Adaptive Visual Reweighting on Postural Control in Young Adults

Postural control involves the use of sensory cues that must be properly integrated to provide specific information to accommodate continuous changes in the environment. Studies have shown several features of adaptive sensorimotor behavior, but many of the mechanisms are still unknown, such as perdurable effects. The purpose of the present study was to examine the lasting effects of visual reweighting adaptation on postural control in young adults. Seventeen young adults were exposed to a moving room situation in 3 experimental sessions that occurred on different occasions. In the first occasion, participants were exposed to seven 60-s trials, in which the room oscillated sinusoidally (0.2 Hz). The first 3 trials and last 3 trials had an amplitude of 0.6 cm and velocity of 0.6 cm/s (peak-to-peak). The fourth trial had an amplitude of 3.5 cm and velocity of 3.5 cm/s (change trial). In the second and third occasions, 1 and 7 days after the first occasion, respectively, the participants performed 3 trials with the room moving with the same parameters as the first trial in the first occasion. The results indicated that the abrupt increases in amplitude and velocity led to a less coherent and smaller magnitude of postural response to the moving room. The reduction of the induced postural response that was caused by visual manipulation lasted at least 1 week. These results suggest that adaptive changes that are caused by environmental changes are maintained for a relatively long period of time in young adults.
Perception of color in 3D Virtual World architectural computer aided design: Impact of color design in student satisfaction

Interior color design of educational spaces in traditional classrooms has been previously evidenced by research to have an impact on students' enjoyment and achievement from their learning sessions. However scarce research has been dedicated to investigate a comparable effect for interior colors of digitally designed 3D e-learning spaces in 3D Virtual Worlds (utilized as 3D Virtual Learning Environments) on students' satisfaction from their e-learning experiences. This study investigates students' contentment from being immersed in 3D e-learning spaces with a diverse range of colors by ranking the various color hues according to student satisfaction. Hence, this paper aims to shed light and issue recommendations on most and least preferred colors by learners to be used for architectural computer-aided color design of educational spaces in 3D virtual worlds and learning environments in an attempt to initialize guidelines for architectural design of digital educational facilities inside these 3D virtual web applications.
Secure outage performance analysis of wireless multicasting through Weibull fading channel

In this paper, we consider the transmission of confidential message through Weibull fading single-input single-output (SISO) channel in the presence of multiple eavesdroppers. At first, we define perfect secrecy capacity in terms of secure outage probability and provide a complete characterization of the maximum transmission rate at which the eavesdroppers are unable to decode any information. Then, we find the average secrecy capacity for multicasting in the presence of multiple eavesdroppers. Finally, we find the closed-form expression for the secure outage probability to investigate the secure outage performance of Weibull fading SISO channel in the presence of multiple eavesdroppers and simulated ergodic secrecy multicast capacity for different fading parameters to observe the effect of diversity on the fading parameter.
Ensuring Correct Rollback Recovery in Dish'ibuted Shared Memory Systems I

shared memory (DSM) implemented on a cluster of workstations is an increasingly attractive platform for executing parallel scientific applications. Checkpointing and rollback techniques can be used in such a system to allow the computation to progress in spite of the temporary failure of one or more processing nodes. This paper presents the design of an independent checkpointing method for DSM that takes advantage of DSM's specific properties to reduce error-free and roll-back overhead. The scheme reduces the dependencies that need to be considered for correct rollback to those resulting from transfers of pages. Furthermore, in-transit messages can be recovered without the use of logging. We extend the scheme to a DSM implementation using lazy release consistency, where the frequency of dependencies is further reduced.
Meta-analysis of efficacy of interventions for elevated depressive symptoms in adults diagnosed with cancer.

BACKGROUND Cancer patients are at increased risk for depression compared with individuals with no cancer diagnosis, yet few interventions target depressed cancer patients. METHODS Efficacy of psychotherapeutic and pharmacologic interventions for depression in cancer patients who met an entry threshold for depressive symptoms was examined by meta-analysis. Five electronic databases were systematically reviewed to identify randomized controlled trials meeting the selection criteria. Effect sizes were calculated using Hedges' g and were pooled to compare pre- and postrandomization depressive symptoms with a random effects model. Subgroup analyses tested moderators of effect sizes, such as comparison of different intervention modalities, with a mixed effects model. All statistical tests were two-sided. RESULTS Ten randomized controlled trials (six psychotherapeutic and four pharmacologic studies) met the selection criteria; 1362 participants with mixed cancer types and stages had been randomly assigned to treatment groups. One outlier trial was removed from analyses. The random effects model showed interventions to be superior to control conditions on reducing depressive symptoms postintervention (Hedges' g = 0.43, 95% confidence interval = 0.30 to 0.56, P < .001). In the four psychotherapeutic trials with follow-up assessment, interventions were more effective than control conditions up to 12-18 months after patients were randomly assigned to treatment groups (P < .001). Although each approach was more effective than the control conditions in improving depressive symptoms (P < .001), subgroup analyses showed that cognitive behavioral therapy appeared more effective than problem-solving therapy (P = .01), but not more effective than pharmacologic intervention (P = .07). CONCLUSIONS Our findings suggest that psychological and pharmacologic approaches can be targeted productively toward cancer patients with elevated depressive symptoms. Research is needed to maximize effectiveness, accessibility, and integration into clinical care of interventions for depressed cancer patients.
Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network

The current development of knowledge discovery domain has pointed out a high number of applications where the need of explanation is at the heart of the process. Using neural networks for those applications requires to be able to provide a set of rules extracted from the trained neural networks, that can help the user to comprehend the learning process. The current literature reports two kinds of rules: ‘if condition then conclusion’ (called if-then) and ‘if m of conditions then conclusion’ (also called MofN). We propose a new method able to extract one intermediate structure (called generators list) from which it is possible to extract both forms of rules. The extracted structure is a generic representation that gives the possibility to the user to visualize each form of rules extracted from the multilayer artificial neural networks.
Abolitionist futures and the US sanctuary movement

This article focuses on the histories, current challenges, and future directions of the sanctuary movement in the United States, which is becoming a central front of resistance to the administration of Donald Trump. The article is comprised of three main components. It discusses the history of the US sanctuary movement and situates it in the context of the rise of neoliberalism and its attendant escalating criminalisation, particularly since the 1980s, when the first iteration of the movement began. The article then discusses the limits of sanctuary, rooted in the movement’s liberal framework that risks reproducing the exclusions it has sought to dismantle. It nevertheless argues for the importance of sanctuary in opposing the Trump regime, while advocating that the movement adopt a more radical framework and solidarity-organising strategies inspired by the prison abolition movement.
A Conduit System Distributes Chemokines and Small Blood-borne Molecules through the Splenic White Pulp

Access to the splenic white pulp is restricted to lymphocytes and dendritic cells. Here we show that movement of molecules from the blood into these confined areas is also limited. Large molecules, such as bovine serum albumin (68 kD), immunoglobulin G (150 kD), and 500 kD dextran are unable to enter the white pulp, whereas smaller blood-borne molecules can directly permeate this compartment. The distribution is restricted to a stromal network that we refer to as the splenic conduit system. The small lumen of the conduit contains collagen fibers and is surrounded in the T cell areas by reticular fibroblasts that express ER-TR7. It also contains the chemokine CCL21. Conversely, in B cell follicles the B cell–attracting chemokine CXCL13 was found to be associated with the conduit and absence of ER-TR7+ fibroblasts. These results show heterogeneity of reticular fibroblasts that enfold the conduit system and suggest that locally produced chemokines are transported through and presented on this reticular network. Therefore, the conduit plays a role in distribution of both blood-borne and locally produced molecules and provides a framework for directing lymphocyte migration and organization of the splenic white pulp.
Importance of the residue 190 on bactericidal activity of the bactericidal/permeability-increasing protein 5

The bactericidal/permeability-increasing protein (BPI) with bactericidal and endotoxin-neutralizing activity is of considerable interest in clinical applications. However, the crucial residues responsible for the bactericidal activity of BPI remain elusive. In previous study, we identified the mutation of mBPI5 associated with the male infertility of mice. Here, the effects of Asp190Ala mutation on the antibacterial activity of mBPI5 have been determined. Substitution of Asp190 by alanine caused significant improvement in cytotoxic effect toward both E.coli J5 and P.aeruginosa. Liposome co-sedimentation assay showed that the ratio of Asp190Ala mutant binding to lipids increased by 8 folds. These results were well consistent with known fact that antibacterial activity of BPI is attributed to its high affinity for lipid moiety of lipopolysaccharides (LPS). The constructed structure of mBPI5 revealed that Asp190 was located close to 6 positively charged residues on the surface of N-terminal domain. When replacing Asp190 with alanine, salt linkages with Arg188 were broken, making the side chain of Arg188 be free to move and form tighter contacts with negatively charged LPS. These findings suggest that residue 190 combined with surrounding positively charged residues largely contribute to bactericidal and endotoxin-neutralizing activities of mBPI5.
Sparse Subspace Clustering by Orthogonal Matching Pursuit

Subspace clustering methods based on $\ell_1$, $\ell_2$ or nuclear norm regularization have become very popular due to their simplicity, theoretical guarantees and empirical success. However, the choice of the regularizer can greatly impact both theory and practice. For instance, $\ell_1$ regularization is guaranteed to give the correct clustering under broad conditions (e.g., arbitrary subspaces and corrupted data), but requires solving a large scale convex optimization problem. On the other hand, $\ell_2$ and nuclear norm regularization provide efficient closed form solutions, but require very strong assumptions to guarantee the correct clustering (e.g., independent subspaces and uncorrupted data). This paper proposes a new subspace clustering method based on orthogonal matching pursuit that is computationally efficient and guaranteed to provide the correct clustering for arbitrary subspaces. Experiments on synthetic data verify our theoretical analysis, and applications in handwritten digit and face clustering show that our approach achieves the best trade off between accuracy and efficiency. Moreover, our approach is the only one that can handle 100,000 points.
A method for generating fixing rules from constant conditional functional dependencies

A variety of data dependencies have been proposed for data cleaning, including conditional functional dependencies, editing rules and so on. Fixing rule is a newly proposed class of data dependencies for data repairing with high accuracy. However, to our knowledge, algorithms for automatically designing fixing rules have not been developed. In this paper, a workflow of generating fixing rules has been proposed and an efficient algorithm for automatically producing fixing rules from constant CFDs has been developed. The algorithm has been proved to have the ability to avoid generating conflict FRs, and experiments show that the algorithm scales well with the size of input and can output a consistent set of FRs with fairly good usability.
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

The propensity score is defined as a subject's probability of treatment selection, conditional on observed baseline covariates. Weighting subjects by the inverse probability of treatment received creates a synthetic sample in which treatment assignment is independent of measured baseline covariates. Inverse probability of treatment weighting (IPTW) using the propensity score allows one to obtain unbiased estimates of average treatment effects. However, these estimates are only valid if there are no residual systematic differences in observed baseline characteristics between treated and control subjects in the sample weighted by the estimated inverse probability of treatment. We report on a systematic literature review, in which we found that the use of IPTW has increased rapidly in recent years, but that in the most recent year, a majority of studies did not formally examine whether weighting balanced measured covariates between treatment groups. We then proceed to describe a suite of quantitative and qualitative methods that allow one to assess whether measured baseline covariates are balanced between treatment groups in the weighted sample. The quantitative methods use the weighted standardized difference to compare means, prevalences, higher‐order moments, and interactions. The qualitative methods employ graphical methods to compare the distribution of continuous baseline covariates between treated and control subjects in the weighted sample. Finally, we illustrate the application of these methods in an empirical case study. We propose a formal set of balance diagnostics that contribute towards an evolving concept of ‘best practice’ when using IPTW to estimate causal treatment effects using observational data. © 2015 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.
A Direct Approach to Organic/Inorganic Semiconductor Hybrid Particles via Functionalized Polyfluorene Ligands

Controlled Suzuki–Miyaura coupling polymerization of 7′‐bromo‐9′,9′‐dioctyl‐fluoren‐2′‐yl‐4,4,5,5‐tetramethyl‐[1,3,2]dioxaborolane initiated by bromo(4‐tert‐butoxycarbonylamino‐phenyl)(tri‐tert‐butylphosphine)palladium (1) or bromo(4‐diethoxyphosphoryl‐phenyl)(tri‐tert‐butylphosphine)palladium (2) yields functionalized polyfluorenes (Mn = 4 × 103 g mol−1, Mw/Mn < 1.2) with a single amine or phosphonic acid, respectively, end‐group. High temperature synthesis of cadmium selenide quantum dots with these functionalized polyfluorenes as stabilizing ligands yields hybrid particles consisting of good quality (e.g. emission full width at half maximum of 30 nm; size distribution σ < 10%) inorganic nanocrystals with polyfluorene attached to the surface, as corroborated by transmission electron microscopy analysis and analytical ultracentrifugation. Sedimentation studies on particle dispersions show that a substantial portion (ca. half) of the phosphonic acid terminated polyfluorene ligands is bound to the inorganic nanocrystals, versus ca. 5% for the amino‐functionalized polyfluorene ligands. Single particle micro‐photoluminescence spectroscopy shows an efficient and complete energy transfer from the polyfluorene layer to the inorganic quantum dot.
ATMOSPHERE-INTERIOR EXCHANGE ON HOT, ROCKY EXOPLANETS

We provide estimates of atmospheric pressure and surface composition on short-period, rocky exoplanets with dayside magma pools and silicate-vapor atmospheres. Atmospheric pressure tends toward vapor-pressure equilibrium with surface magma, and magma-surface composition is set by the competing effects of fractional vaporization and surface-interior exchange. We use basic models to show how surface-interior exchange is controlled by the planet’s temperature, mass, and initial composition. We assume that mantle rock undergoes bulk melting to form the magma pool, and that winds flow radially away from the substellar point. With these assumptions, we find that: (1) atmosphere-interior exchange is fast when the planet’s bulk-silicate FeO concentration is low, and slow when the planet’s bulk-silicate FeO concentration is high; (2) magma pools are compositionally well mixed for substellar temperatures ≲2400 K, but compositionally variegated and rapidly variable for substellar temperatures ≳2400 K; (3) currents within the magma pool tend to cool the top of the solid mantle (“tectonic refrigeration”); (4) contrary to earlier work, many magma planets have time-variable surface compositions.
Differences in science based innovation by technology life cycles: the case of solar cell technology

This paper analyzes the role of university research in industrial innovation by different phases of the technology life cycle (TLC) and by patent analysis of solar cell technology. It is found that, in the early phase of TLC, the role of academic research is to broaden the technology scope to provide a variety of technologies to the market. Industry can be benefited directly from universities as a source of new technology. In contrast, in the later phase of TLC where both product and process innovation are important, university industry collaboration (UIC) patents are greater in patent quality as measured by normalized forward citation. In addition, scientific paper citations and the experience of UIC by firms' inventors are beneficial to high impact inventions. Therefore, the impact of academic research comes into play in a more indirect way, using scientific knowledge embodied by industry researchers in the later phase of TLC.
Prevalence and Management of Diabetes and Metabolic Risk Factors in Thai Adults

OBJECTIVE To determine the prevalence of impaired fasting glucose (IFG) and undiagnosed and diagnosed diabetes in Thai adults in 2009 and examine the extent of changes in proportions of diagnosis, treatment, and control for blood glucose, high blood pressure, and high total cholesterol between 2004 and 2009. RESEARCH DESIGN AND METHODS Data from the multistage cross-sectional National Health Examination Survey (NHES) IV of 18,629 Thai adults aged ≥20 years conducted in 2009 were used to analyze and compare with the data from NHES III in 2004. RESULTS The prevalence of IFG and diabetes was 10.6 and 7.5%, respectively. Of all diabetes diagnoses, 35.4% were not previously diagnosed, and the proportion was higher in men than in women (47.3 vs. 23.4%, P < 0.05). Compared with those in year 2004, the proportions of individuals with diabetes and concomitant hypertension did not significantly decrease in 2009 in both sexes, but the proportions of women with diabetes who were abdominally obese or had high total cholesterol (≥5.2 mmol/L) significantly increased in 2009 by 18.0 and 23.5%, respectively (all P < 0.01). The rates of treatment and control of blood glucose, high blood pressure, and high total cholesterol were favorably improved in 2009. However, in substantial proportions of individuals with diabetes these concomitants were still controlled suboptimally. CONCLUSIONS The prevalence of diabetes and IFG remained high in Thai adults. Improvement in detection and control of diabetes and associated metabolic risk factors, particularly obesity and high serum cholesterol, are necessary.
Stable convergence of generalized stochastic integrals and the principle of conditioning: L 2 theory

Consider generalized adapted stochastic integrals with respect to independently scattered random measures with second moments. We use a decoupling technique, known as the "principle of conditioning", to study their stable convergence towards mixtures of infinitely divisible distributions. Our results apply, in particular, to multiple integrals with respect to independently scattered and square integrable random measures, as well as to Skorohod integrals on abstract Wiener spaces. As a specific application, we establish a Central Limit Theorem for sequences of double integrals with respect to a general Poisson measure, thus extending the results contained in Nualart and Peccati (2005) and Peccati and Tudor (2004) to a non-Gaussian context.