Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward a Model of Learning and Transfer: A Review of Instructional Methods and Learning Outcomes in Special Education Teacher Preparation

In the past decade and a half, measurable outcomes of teacher performance and student achievement have moved to the forefront of education policy. Researchers have identified a gap in special education teacher preparation research and have called for the re-envisioning of current educational models, emphasizing a focus on effective methods in special education teacher preparation. Prior studies and literature reviews have demonstrated a need for experimental research on effective methods that move preservice teachers (PSTs) from knowledge to application. In this article, the authors present a model of learning and transfer based on the How People Learn theoretical framework. Guided by this framework, a review of literature resulted in 12 experimental, quantitative studies of instructional methods delivered primarily within university classroom-based settings, measuring PSTs’ outcomes at increasingly deeper levels of learning and transfer. Findings indicate various instructional methods within university coursework lead to strong, positive learning outcomes for PSTs, with most studies measuring knowledge acquisition and conceptual application of knowledge. Yet, more studies are needed to evaluate the effectiveness of coursework on teacher candidates’ application for and within classroom settings, as well as students’ outcomes. Implications and future research are discussed.
Financial Valuation and Risk Management Working Paper No . 237 Consumption Paths under Prospect Utility in an Optimal Growth Model

This paper studies the Cass-Koopmans-Ramsey model of optimal economic growth in the presence of loss aversion and habit formation. The representative agent’s preferences for consumption can be gradually varied between the standard constant intertemporal elasticity of substitution (CIES) case and Kahneman and Tversky’s prospect utility. We find that the transitional dynamics of optimal consumption paths differ distinctly from the standard model, in particular consumption smoothing is more pronounced. We also show that prospect utility can cause the economy to remain in a steady state with low consumption and low capital. JEL-Classification: E21; O41.
A Better Tomorrow: Toward a Stronger Science of Youth Purpose

Having a sense of purpose in life has been discussed as a psychological asset for promoting positive youth development. Yet confidence in the benefits of purpose has accumulated faster than rigorous confirmation of their existence among youth, using instruments and methods calibrated to the developmental stage of those under study. Here, the authors illuminate four problems this asymmetry creates for drawing inferences from extant research on youth purpose, namely its reliance on (1) unclear scientific criteria for distinguishing “youth” and measures that include developmentally presumptuous items, (2) single-informant and self-report methods, (3) misapplication of cross-sectional designs to test prospective or causal theories, and (4) analytic techniques insensitive to purpose content. In delineating these problems, the authors consider the extent to which the three empirical contributions included in this issue are responsive to each and may provide templates to guide future studies of youth purpose.
Profile Instabilities of the Millisecond Pulsar PSR J1022+1001

We present evidence that the integrated profiles of some millisecond pulsars exhibit severe changes that are inconsistent with the moding phenomenon as known from slowly rotating pulsars. We study these profile instabilities in particular for PSR J1022+1001 and show that they occur smoothly, exhibiting longer time constants than those associated with moding. In addition, the profile changes of this pulsar seem to be associated with a relatively narrowband variation of the pulse shape. Only parts of the integrated profile participate in this process, which suggests that the origin of this phenomenon is intrinsic to the pulsar magnetosphere and unrelated to the interstellar medium. A polarization study rules out profile changes due to geometrical effects produced by any sort of precession. However, changes are observed in the circularly polarized radiation component. In total we identify four recycled pulsars that also exhibit instabilities in the total power or polarization profiles due to an unknown phenomenon (PSRs J1022+1001, J1730-2304, B1821-24, and J2145-0750). The consequences for high-precision pulsar timing are discussed in view of the standard assumption that the integrated profiles of millisecond pulsars are stable. As a result we present a new method to determine pulse times of arrival that involves an adjustment of relative component amplitudes of the template profile. Applying this method to PSR J1022+1001, we obtain an improved timing solution with a proper-motion measurement of -17 ± 2 mas yr-1 in ecliptic longitude. Assuming a distance to the pulsar as inferred from the dispersion measure, this corresponds to a one-dimensional space velocity of 50 km s-1.
The Genetic Deletion of 6q21 and PRDM1 and Clinical Implications in Extranodal NK/T Cell Lymphoma, Nasal Type

6q21 genetic deletion has been frequently detected in extranodal NK/T cell lymphoma, nasal type (EN-NK/T-NT), and PRDM1 is considered as candidate gene. However, direct detection of PRDM1 deletion has not been well documented. We investigated genetic alterations of 6q21 and PRDM1 in 43 cases of EN-NK/T-NT and cell lines by FISH. PRDM1 expression was evaluated by immunohistochemistry and Western blot. The correlation between genetic alteration and PRDM1 expression and the significance in clinic-pathologic were analyzed. Heterozygous deletion of 6q21 and/or PRDM1 was observed in 24 of 43 cases (55.81%) of EN-NK/T-NT including 16 cases (37.21%) for 6q21 deletion and 19 cases (44.19%) for PRDM1 deletion. Similarly, heterozygous codeletion of 6q21 and PRDM1 was identified in NK92 and NKL cells. The heterozygous deletion of 6q21 and/or PRDM1 was correlated with PRDM1 expression. However, genetic deletion of 6q21 and/or PRDM1 was not correlated with clinicopathological features of EN-NK/T-NT, while PRDM1 expression showed positive effect on the outcome of patients as those as disease site, B symptom, and clinical stage. Thus, heterozygous deletion of 6q21 and/or PRDM1 was frequently detected in EN-NK/T-NT and correlated with downregulation of PRDM1. But the prognostic role of genetic deletion needs to be further evaluated in larger cohort.
Detecting Problematic Control-Plane Protocol Interactions in Mobile Networks

The control-plane protocols in 3G/4G mobile networks communicate with each other, and provide a rich set of control functions, such as radio resource control, mobility support, connectivity management, to name a few. Despite their significance, the problem of verifying protocol correctness remains largely unaddressed. In this paper, we examine control-plane protocol interactions in mobile networks. We propose CNetVerifier, a two-phase signaling diagnosis tool to detect problematic interactions in both design and practice. CNetVerifier first performs protocol screening based on 3GPP standards via domain-specific model checking, and then conducts phone-based empirical validation in operational 3G/4G networks. With CNetVerifier, we have uncovered seven types of troublesome interactions, along three dimensions of cross (protocol) layers, cross (circuit-switched and packet-switched) domains, and cross (3G and 4G) systems. Some are caused by necessary yet problematic cooperation (i.e., protocol interactions are needed but they misbehave), whereas others are due to independent yet unnecessary coupled operations (i.e., protocols interactions are not required but actually coupled). These instances span both design defects in 3GPP standards and operational slips by carriers and vendors. They all result in performance penalties or functional incorrectness. We deduce root causes, present empirical results, propose solutions, and summarize learned lessons.
GenoGuard: Protecting Genomic Data against Brute-Force Attacks

Secure storage of genomic data is of great and increasing importance. The scientific community's improving ability to interpret individuals' genetic materials and the growing size of genetic database populations have been aggravating the potential consequences of data breaches. The prevalent use of passwords to generate encryption keys thus poses an especially serious problem when applied to genetic data. Weak passwords can jeopardize genetic data in the short term, but given the multi-decade lifespan of genetic data, even the use of strong passwords with conventional encryption can lead to compromise. We present a tool, called Geno Guard, for providing strong protection for genomic data both today and in the long term. Geno Guard incorporates a new theoretical framework for encryption called honey encryption (HE): it can provide information-theoretic confidentiality guarantees for encrypted data. Previously proposed HE schemes, however, can be applied to messages from, unfortunately, a very restricted set of probability distributions. Therefore, Geno Guard addresses the open problem of applying HE techniques to the highly non-uniform probability distributions that characterize sequences of genetic data. In Geno Guard, a potential adversary can attempt exhaustively to guess keys or passwords and decrypt via a brute-force attack. We prove that decryption under any key will yield a plausible genome sequence, and that Geno Guard offers an information-theoretic security guarantee against message-recovery attacks. We also explore attacks that use side information. Finally, we present an efficient and parallelized software implementation of Geno Guard.
Association between Serum 25-Hydroxy-Vitamin D and Aggressive Prostate Cancer in African American Men

African American men have higher incidence rates of aggressive prostate cancer, where high levels of calcium and serum vitamin D deficient levels play a role in the racial differences in incidence. In this study, we examined associations of serum vitamin D with aggressive prostate cancer to improve our understanding of higher susceptibility of aggressive disease in this racial cohort. From Howard University Hospital, 155 African American men with clinically-identified prostate cancer were identified; 46 aggressive cases, and 58 non-aggressive cases. Serum vitamin D was assessed from fasting blood samples, and total calcium intake was assessed using the Block Food Frequency Questionnaire. Vitamin D receptor polymorphisms from three different loci were genotyped; rs731236, rs1544410, and rs11568820. Multivariate logistic regression models were used to determine odds ratios (OR) and 95% confidence intervals (CI) comparing aggressive to non-aggressive prostate cancer. Vitamin D deficiency (<20 ng/mL) significantly increased risk of aggressive disease (OR: 3.1, 95% CI: 1.03–9.57, p-value = 0.04). Stratification by total calcium showed high calcium levels (≥800 mg/day) modified this association (OR: 7.3, 95% CI: 2.15–47.68, p-interaction = 0.03). Genetic variant rs11568820 appeared to increase the magnitude of association between deficient serum vitamin D and aggressive prostate cancer (OR: 3.64, 95% CI: 1.12–11.75, p-value = 0.05). These findings suggest that high incidence of aggressive prostate cancer risk in African American men may be due in-part to deficient levels of serum vitamin D. Other factors, including genetics, should be considered for future studies.
Monoamine Oxidase‐B Inhibition in the Treatment of Parkinson's Disease

Inhibitors of monoamine oxidase (MAO) with selectivity and specificity for MAO type B prolong the activity of both endogenously and exogenously derived dopamine, making them an option either as monotherapy in early Parkinson's disease or as adjunctive therapy in patients treated with levodopa who are experiencing motor complications. In addition to symptomatic benefits, experimental data suggest that MAO‐B inhibitors may be neuroprotective through MAO‐B inhibition and other mechanisms that have yet to be clearly defined. The two available MAO‐B inhibitors approved for use in the United States, rasagiline and selegiline, each provide symptomatic relief as monotherapy and as adjunctive therapy, and have shown potential disease‐modifying effects in experimental models and clinical studies. Selegiline in a conventional tablet formulation is less bioavailable than rasagiline, resulting in limited potency. It also has amphetamine metabolites that may produce adverse effects and interfere with any putative disease‐modifying effects. The oral disintegrating tablet formulation of selegiline allows pregastric absorption, minimizing first‐pass metabolism, thereby increasing selegiline bioavailability and reducing the concentration of amphetamine metabolites. Rasagiline, more potent than selegiline, exhibits disease‐modifying effects in experimental models and lacks amphetamine metabolites. Both the symptomatic and potential disease‐modifying effects of rasagiline are under investigation. A third agent with MAO‐B inhibition properties, safinamide, is in phase III development. Although not yet approved, safinamide may offer the added advantage of combined MAO‐B and dopamine reuptake inhibition.
Relationship between maternal periodontal disease and low-birth-weight pre-term infants.

OBJECTIVES The purpose of this study was to determine the influence of periodontal status on low-birth-weight pre-term delivery. MATERIAL AND METHODS Ninety-six pregnant women were examined in their first, second and third trimester to record plaque scores, clinically assessed gingival inflammation and probing depth (mean depth and percentage of sites with depth of >3 mm). Binary logistic regression analyses were performed using SUDAAN 7.5 program. The type 1 (alpha) error established at 0.05 and an (alpha) error of 0.05-0.1 were considered nearly significant. RESULTS The 96 women delivered 89 newborns: 16 were pre-term and seven of these were of low birth weight. There were seven miscarriages, all in the second trimester. No statistically significant association was found between gestational age and periodontal parameters. No significant relationship was found between low-weight delivery and plaque index measurements, although the association with gingival index was close to significant. A relationship was observed between low-weight birth and probing depth measurements, especially the percentage of sites of >3 mm depth, which was statistically significant (p=0.0038) even when gestational age was controlled for. CONCLUSIONS According to these results, periodontal disease is a significant risk factor for low birth weight but not for pre-term delivery.
Where is the radiation edge in magnetized black hole accretion discs

General relativistic (GR) magnetohydrodynamic (MHD) simulations of black hole accretion find significant magnetic stresses near and inside the innermost stable circular orbit (ISCO), suggesting that such flows could radiate in a manner noticeably different from the prediction of the standard model, which assumes that there are no stresses in that region. We provide estimates of how phenomenologically interesting parameters like the ‘radiation edge’, the innermost ring of the disc from which substantial thermal radiation escapes to infinity, may be altered by stresses near the ISCO. These estimates are based on data from a large number of three-dimensional GRMHD simulations combined with GR ray tracing. For slowly spinning black holes (a/M < 0.9), the radiation edge lies well inside where the standard model predicts, particularly when the system is viewed at high inclination. For more rapidly spinning black holes, the contrast is smaller. At fixed total luminosity, the characteristic temperature of the accretion flow increases between a factor of 1.2 and 2.4 over that predicted by the standard model, whilst at fixed mass accretion rate, there is a corresponding enhancement of the accretion luminosity which may be anywhere from tens of per cent to order unity. When all these considerations are combined, we find that, for fixed black hole mass, luminosity and inclination angle, our uncertainty in the characteristic temperature of the radiation reaching distant observers due to uncertainty in dissipation profile (around a factor of 3) is greater than the uncertainty due to a complete lack of knowledge of the black hole's spin (around a factor of 2) and furthermore that spin estimates based on the stress-free inner boundary condition provide an upper limit to a/M.
Safety, tolerability and efficacy of peginterferon alpha-2a and ribavirin in chronic hepatitis C in clinical practice: The German Open Safety Trial

Summary. The combination treatment of peginterferon alpha‐2a (PEG‐IFN alpha‐2a; Pegasys®) plus ribavirin (RBV) is recommended as a standard care for HCV infections. Side effects and aspects of efficacy and safety have to be balanced. This study evaluates clinical practice data on safety and efficacy of HCV treatment with PEG‐IFN in combination with RBV over 24 and 48 weeks. This study was a phase III, multi‐centre, open‐label study with two treatment groups: PEG‐IFN in combination with RBV for 24 or 48 weeks. The allocation to the treatment groups was at the discretion of the investigator; 309 patients entered active treatment: 90 patients received PEG‐IFN plus RBV for 24 weeks and 219 patients PEG‐IFN plus RBV for 48 weeks. A sustained virological response (SVR) was achieved in 48.9% of all patients. Genotype 1 patients with a 48‐week combination treatment achieved an SVR of 39.9%. In the 48‐week group a low baseline viral load was associated with a higher SVR rate (47.0% vs. 32.4%). For genotype 2 or 3 patients, the SVR was 67.9%. For these patients there was no relevant difference between patients with low and high viral loads; 97.7% of the patients experienced at least one adverse event. The incidence of serious adverse events was distinctly lower in the 24‐week group (4.4% vs. 10.5%). This investigation confirms the well‐known risk–benefit ratio found in controlled studies in a clinical practice setting. The safety profile is similar and shows the highest incidence of adverse events in the first 12 weeks of treatment.
EAST syndrome: Clinical, pathophysiological, and genetic aspects of mutations in KCNJ10

ABSTRACT EAST syndrome is a recently described autosomal recessive disorder secondary to mutations in KCNJ10 (Kir4.1), a gene encoding a potassium channel expressed in the brain, eye, ear and kidney. This condition is characterized by 4 cardinal features; Epilepsy, Ataxia, Sensorineural deafness, and (a renal salt-wasting) Tubulopathy, hence the acronym EAST syndrome. Here we review reported clinical manifestations, in particular the neurological signs and symptoms which typically have the most impact on the quality of life of patients. In addition we review the pathophysiology and genetic aspects of the disease. So far 14 different KCNJ10 mutations have been published which either directly affect channel function or may lead to mislocalisation. Investigations of the pathophysiology may provide clues to potential treatments.
It's the thought that counts: content vs. contact

We are currently exploring two domains where the introduction of content gathering technologies is having a negative impact on social contact, particularly telecare technologies on independent living and sensor technologies on remote regional workers. To minimise the incidental cost of such interventions we are investigating enhanced design options that include contact, in the form of presence/awareness, as secondary functionality of these technologies. In this paper we classify a sample of presence technologies from the home environments using a model of presence, based on the concept of content and contact. Content is discussed in terms of the communication bandwidth while contact is viewed from the attention requirement of both initiator and receiver. Issues and successes of each category are highlighted, and we conclude with a contact focused interaction pattern that relates to, but is not driven by, content.
Automated Behavioral Testing of Refactoring Engines

Refactoring is a transformation that preserves the external behavior of a program and improves its internal quality. Usually, compilation errors and behavioral changes are avoided by preconditions determined for each refactoring transformation. However, to formally define these preconditions and transfer them to program checks is a rather complex task. In practice, refactoring engine developers commonly implement refactorings in an ad hoc manner since no guidelines are available for evaluating the correctness of refactoring implementations. As a result, even mainstream refactoring engines contain critical bugs. We present a technique to test Java refactoring engines. It automates test input generation by using a Java program generator that exhaustively generates programs for a given scope of Java declarations. The refactoring under test is applied to each generated program. The technique uses SafeRefactor, a tool for detecting behavioral changes, as an oracle to evaluate the correctness of these transformations. Finally, the technique classifies the failing transformations by the kind of behavioral change or compilation error introduced by them. We have evaluated this technique by testing 29 refactorings in Eclipse JDT, NetBeans, and the JastAdd Refactoring Tools. We analyzed 153,444 transformations, and identified 57 bugs related to compilation errors, and 63 bugs related to behavioral changes.
Learning to simplify

In this paper, we present a novel technique to simplify sketch drawings based on learning a series of convolution operators. In contrast to existing approaches that require vector images as input, we allow the more general and challenging input of rough raster sketches such as those obtained from scanning pencil sketches. We convert the rough sketch into a simplified version which is then amendable for vectorization. This is all done in a fully automatic way without user intervention. Our model consists of a fully convolutional neural network which, unlike most existing convolutional neural networks, is able to process images of any dimensions and aspect ratio as input, and outputs a simplified sketch which has the same dimensions as the input image. In order to teach our model to simplify, we present a new dataset of pairs of rough and simplified sketch drawings. By leveraging convolution operators in combination with efficient use of our proposed dataset, we are able to train our sketch simplification model. Our approach naturally overcomes the limitations of existing methods, e.g., vector images as input and long computation time; and we show that meaningful simplifications can be obtained for many different test cases. Finally, we validate our results with a user study in which we greatly outperform similar approaches and establish the state of the art in sketch simplification of raster images.