Miracle-dz/UniFAR-FTUs huggingface dataset:
Transient response of vertical-cavity surface-emitting lasers of different active-region diameters

The multimode dynamics of vertical-cavity surface-emitting lasers with different active-region diameters was measured under subnanosecond electrical excitation (800-ps pulse duration, 100-ps risetime). The dynamics is characterized by the delayed onset of higher order modes which have a turn-on delay that is dependent on the active-region diameter and the excitation parameters. A simple model that can be used to estimate this turn-on delay for large-area devices is presented. Polarization-resolved measurements show that, under this fast excitation condition, both orthogonal polarization states are isomorphic. The influence of the observed dynamics on the relative intensity noise of these devices is also discussed.
PetFMM—A dynamically load‐balancing parallel fast multipole library

Fast algorithms for the computation of N‐body problems can be broadly classified into mesh‐based interpolation methods, and hierarchical or multiresolution methods. To this latter class belongs the well‐known fast multipole method (FMM), which offers 𝒪(N) complexity. The FMM is a complex algorithm, and the programming difficulty associated with it has arguably diminished its impact, being a barrier for adoption. This paper presents an extensible parallel library for N‐body interactions utilizing the FMM algorithm. A prominent feature of this library is that it is designed to be extensible, with a view to unifying efforts involving many algorithms based on the same principles as the FMM and enabling easy development of scientific application codes. The paper also details an exhaustive model for the computation of tree‐based N‐body algorithms in parallel, including both work estimates and communications estimates. With this model, we are able to implement a method to provide automatic, a priori load balancing of the parallel execution, achieving optimal distribution of the computational work among processors and minimal inter‐processor communications. Using a client application that performs the calculation of velocity induced by N vortex particles in two dimensions, ample verification and testing of the library was performed. Strong scaling results are presented with 10 million particles on up to 256 processors, including both speedup and parallel efficiency. The largest problem size that has been run with the PetFMM library at this point was 64 million particles in 64 processors. The library is currently able to achieve over 85% parallel efficiency for 64 processes. The performance study, computational model, and application demonstrations presented in this paper are limited to 2D. However, the software architecture was designed to make an extension of this work to 3D straightforward, as the framework is templated over the dimension. The software library is open source under the PETSc license, even less restrictive than the BSD license; this guarantees the maximum impact to the scientific community and encourages peer‐based collaboration for the extensions and applications. Copyright © 2010 John Wiley & Sons, Ltd.
Mechanisms of Rule Acquisition and Rule Following in Inductive Reasoning

Despite the recent interest in the neuroanatomy of inductive reasoning processes, the regional specificity within prefrontal cortex (PFC) for the different mechanisms involved in induction tasks remains to be determined. In this study, we used fMRI to investigate the contribution of PFC regions to rule acquisition (rule search and rule discovery) and rule following. Twenty-six healthy young adult participants were presented with a series of images of cards, each consisting of a set of circles numbered in sequence with one colored blue. Participants had to predict the position of the blue circle on the next card. The rules that had to be acquired pertained to the relationship among succeeding stimuli. Responses given by subjects were categorized in a series of phases either tapping rule acquisition (responses given up to and including rule discovery) or rule following (correct responses after rule acquisition). Mid-dorsolateral PFC (mid-DLPFC) was active during rule search and remained active until successful rule acquisition. By contrast, rule following was associated with activation in temporal, motor, and medial/anterior prefrontal cortex. Moreover, frontopolar cortex (FPC) was active throughout the rule acquisition and rule following phases before a rule became familiar. We attributed activation in mid-DLPFC to hypothesis generation and in FPC to integration of multiple separate inferences. The present study provides evidence that brain activation during inductive reasoning involves a complex network of frontal processes and that different subregions respond during rule acquisition and rule following phases.
Association of psychological distress and work psychosocial factors with self-reported musculoskeletal pain among secondary school teachers in Malaysia

Background Musculoskeletal pain is common among teachers. Work-related psychosocial factors are found to be associated with the development of musculoskeletal pain, however psychological distress may also play an important role. Objectives To assess the prevalence of self-reported low back pain (LBP), and neck and/or shoulder pain (NSP) among secondary school teachers; and to evaluate the association of LBP and NSP with psychological distress and work-related psychosocial factors. Methods This was a cross-sectional study conducted among teachers in the state of Penang, Malaysia. The participants were recruited via a two stage sampling method. Information on demographic, psychological distress, work-related psychosocial factors, and musculoskeletal pain (LBP and NSP) in the past 12 months was collected using a self-administered questionnaire. Poisson regression was used to estimate the prevalence ratio (PR) for the associations between psychological distress and work-related psychosocial factors with LBP and NSP. Results The prevalence of self-reported LBP and NSP among 1482 teachers in the past 12 months was 48.0% (95% Confidence Interval (CI) 45.2%, 50.9%) and 60.1% (95% CI 57.4%, 62.9%) respectively. From the multivariate analysis, self-reported LBP was associated with teachers who reported severe to extremely severe depression (PR: 1.71, 95% CI 1.25, 2.32), severe to extremely severe anxiety (1.46, 95% CI 1.22, 1.75), high psychological job demand (1.29, 95% CI 1.06, 1.57), low skill discretion (1.28, 95% CI 1.13, 1.47) and poorer mental health (0.98, 95% CI 0.97, 0.99). Self-reported NSP was associated with mild to moderate anxiety (1.18, 95% CI 1.06, 1.33), severe to extremely severe anxiety (1.25, 95% CI 1.09, 1.43), low supervisory support (1.13, 95% CI 1.03, 1.25) and poorer mental health (0.98, 95% CI 0.97, 0.99). Conclusions Self-reported LBP and NSP were common among secondary school teachers. Interventions targeting psychological distress and work-related psychosocial characteristics may reduce musculoskeletal pain among school teachers.
Introduction to SIGHAN 2015 Bake-off for Chinese Spelling Check

This paper introduces the SIGHAN 2015 Bake-off for Chinese Spelling Check, including task description, data preparation, performance metrics, and evaluation results. The competition reveals current state-of-the-art NLP techniques in dealing with Chinese spelling checking. All data sets with gold standards and evaluation tool used in this bake-off are publicly available for future research.
Cause of death in patients with atrial fibrillation admitted to French hospitals in 2012: a nationwide database study

Objective Most patients with atrial fibrillation (AF) have risk factors and coexisting conditions that increase their mortality risk. We performed a cause-of-death analysis to identify predictors of mortality in hospitalised patients with AF in France. Methods and results In this retrospective, population-based cross-sectional study, the Programme de médicalisation des systèmes d'information was used to identify 533 044 adults with a diagnosis of AF or atrial flutter hospitalised for any reason in France from January through December 2012. Stepwise multivariable analyses were performed to identify determinants of mortality. The mean age was 78.0±11.4 years, 47.1% were women, and the mean CHA2DS2-VASc score was 4.0±1.8. During hospitalisation, 9.4% (n=50 165) of the patients died, 34% due to a cardiovascular event, most often heart failure (16.6%), stroke/transient ischaemic attack/systemic embolism (9.8%) or vascular or ischaemic disease (4.0%). The strongest predictors of overall death were age ≥75 years (OR 2.57, 95% CI 2.47 to 2.68), renal failure (OR 1.85, 95% CI 1.81 to 1.89), cancer (OR 1.81, 95% CI 1.78 to 1.85) and lung disease (OR 1.58, 95% CI 1.55 to 1.62). Conclusions Cardiovascular events were the most common cause of death, occurring in one-third of patients, in this comprehensive study of hospitalised patients with AF. Despite the high risk of stroke in this population, only 10% died from stroke/transient ischaemic attack/systemic embolism. The strongest predictors of overall death were non-cardiovascular. Physicians should be encouraged to focus on preventable serious and disabling cardiovascular events (such as stroke) as well as on potentially fatal non-cardiovascular comorbidities.
EFFECTS OF COMPOST AND LIME APPLICATION ON SOIL CHEMICAL PROPERTIES , SOIL MICROBIAL COMMUNITY , AND FUSARIUM WILT IN FLORIDA-GROWN

Soils used for vegetable production in Florida are sandy, have low organic matter content and fertility, and can support the growth of soil-borne pathogens. Some growers choose to apply compost as an antagonistic suppression approach to combat soil-borne disease effects on crop yields or to increase organic matter and improve soil fertility. The objective of this on-farm study was to determine the effect of compost and lime on soil chemical properties, the soil microbial community (including Fusarium spp.), and the incidence and severity of fusarium wilt in commercially produced tomato with a history of fusarium wilt. Seasonal trials were conducted in spring and fall of 2010, where soil treatments (composted yard waste and lime) were applied to plots in a randomized complete block design with three replications using a calibrated tractor spreader. Composite soil samples were collected immediately following application of soil treatments, at flowering, and at fruit set and analyzed for soil chemical properties (e.g., organic matter, pH, soil test nutrients, etc.) and soil microbes (e.g., total bacteria, Fusarium oxysporum spp., etc.). Incidence of fusarium wilt was assessed on a periodic basis over the course of tomato production. Data showed that the application of compost and/or lime to soils prior to bedding had no effect on soil pH, EC, or Mehlich 3 nutrients, with the exception of organic matter and Mehlich 3-Mg in fall 2010. Soil organic matter increased when compost was applied at the 30 ton/acre application rate in the fall season, while Mehlich 3 Mg increased when
A function of huntingtin in guanine nucleotide exchange on Rab11

Huntingtin is ubiquitously expressed and enriched in the brain. Deletion of the huntingtin gene in mice is lethal during early embryonic development. The function of huntingtin is, however, not clear. Here, we report that huntingtin is important for the function of Rab11, a critical GTPase in regulating membrane traffic from recycling endosomes to the plasma membrane. In huntingtin-null embryonic stem cells, the levels of Rab11 on membranes and nucleotide exchange activity on Rab11 were significantly reduced compared with normal embryonic stem cells. In brain membranes, an antibody against huntingtin immunoprecipitated a nucleotide exchange activity on Rab11 and huntingtin was coprecipitated with Rab11 in the presence of guanosine diphosphate. These data suggest a role for huntingtin in a complex that activates Rab11.
Contribution of Hepatitis B to Long-Term Outcome Among Patients With Acute Myocardial Infarction

Abstract Although a possible association between hepatitis B and cardiovascular disease has been identified, the impact of viral hepatitis B on long-term prognosis after an acute myocardial infarction (AMI) is uncertain. Therefore, the aim of our study was to evaluate the specific impact of viral hepatitis B on survival after a first AMI through a retrospective analysis of data from the Taiwan National Health Insurance Research Database. This was a nationwide, propensity score-matched case–control study of patients admitted to hospitals between January 2000 and December 2012 with a primary diagnosis of a first AMI. Among the 7671 prospective patients, 244 patients with a confirmed diagnosis of viral hepatitis B infection were identified. A propensity score, one-to-one matching technique was used to match 244 controls to the AMI group for analysis. Controls were matched on the following variables: sex, age, hypertension, dyslipidemia, diabetes, peripheral vascular disease, heart failure, cerebrovascular accidents, end-stage renal disease, chronic obstructive pulmonary disease, and percutaneous coronary intervention (PCI). Overall, viral hepatitis B infection did not influence the 12-year survival rate (P = 0.98). However, survival was lower in female patients with viral hepatitis B infection compared to those without (P = 0.03; hazard ratio, 1.79; 95% confidence interval, 1.08–2.94). Inclusion of percutaneous coronary management improved survival, independent of sex, age, or hepatitis B status. Hepatitis B infection might increase the mortality risk of female patients after a first AMI. PCI may improve the long-term survival of patients after a first AMI, regardless of sex, age, and hepatitis B status.
Direct Estimation of Equity Market Impact

The impact of large trades on market prices is a widely discussed but rarely measured phenomenon, of essential importance to selland buy-side participants. We analyse a large data set from the Citigroup US equity trading desks, using a simple but realistic theoretical framework. We fit the model across a wide range of stocks, determining the dependence of the coecients on parameters such as volatility, average daily volume, and turnover. We reject the common square-root model for temporary impact as function of trade rate, in favor of a 3/5 power law across the range of order sizes considered. Our results can be directly incorporated into optimal trade scheduling algorithms and pre- and post-trade cost estimation.
Intention and Willingness in Understanding Ritalin Misuse Among Iranian Medical College Students: A Cross-Sectional Study

Ritalin misuse can create powerful stimulant effects and serious health risks. The main aim of present study was compared that two cognitive construct (behavioral intention or behavioral willingness) for predicting Ritalin misuse. This cross-sectional study was conducted among 264 Iranian medical college students; participants selected in random sampling, and data were collected by using self-report questionnaire. Data were analyzed by SPSS version 21 at 95% significant level. Our findings showed, the three predictor variables of (1) attitude, (2) subjective norms, and (3) prototype accounted for 29% of the variation in intention and 25% of the variation in willingness to Ritalin misuse. In addition, behavioral intention was a stronger prediction factor compared to willingness for Ritalin misuse, with odds ratio estimate of 1.607 [95% CI: 1.167, 2.213]. There is some support to use the prototype willingness model to design interventions to improve individuals’ beliefs that academic goals are achievable without the misuse of Ritalin.
Recognizing Viral Antigens in the Context of Human B Cells Secrete Granzyme B When

Human B cells are currently not known to produce the proapoptotic protease granzyme B (GrB) in physiological settings. We have discovered that BCR stimulation with either viral Ags or activating Abs in the context of the acute phase cytokine IL-21 can induce the secretion of substantial amounts of GrB by human B cells. Importantly, GrB response to viral Ags was significantly stronger in B cells from subjects recently vaccinated against the corresponding viruses as compared with unvaccinated subjects. GrB-secreting B cells featured a homogeneous CD19 ؉ CD20 ؉ CD27 ؊ CD38 ؊ IgD ؊ phenotype, improved survival, and enhanced expression of costimulatory, Ag-presenting and cell-adhesion molecules. B cell-derived GrB was enzymatically active and its induction required the activation of similar signaling pathways as those in CTLs. Our findings suggest that GrB-secreting B cells support the early antiviral immune response against viruses with endosomal entry pathways, thereby counteracting overwhelming viral replication at the beginning of an infection until virus-specific T cells from draining lymph nodes arrive at the site of infection. Our data may also explain the elevated serum GrB levels found in the early phase of various viral diseases. F ull activation of virus-specific CTL normally requires the uptake of viral Ags by APC, migration of these APC into the draining lymph nodes, and processing and presentation of Ags by the APC in the context of MHC molecules, a complex process that can take up to several days (1, 2). Therefore a high rate of viral replication may pose a considerable challenge for an antiviral T cell response. In contrast to CTL, B cells can recognize Ags in an immediate and MHC-independent manner. Furthermore, BCR can recognize a larger variety of potential Ags than TCR, including peptide, carbohydrate, glycolipid, and nucleic acid Ags (3, 4). Granzymes such as granzyme B (GrB) 4 represent a major constituent of the granules of CTL (5). The ligation of the TCR by MHC-presented Ag on the target cell, in combination with secondary signals including IL-2, IL-15, and CD28 activation, results in the degranulation of cytotoxic granules and the release of ef-fector molecules such as GrB into the secretory synapse. CTL can deliver GrB to targets such as virus-infected cells, thereby effectively inducing apoptosis (6). Apart from CTL and NK cells, no other normal human lymphocyte population is currently known to produce and secrete active GrB in physiological settings. IL-21, a recently discovered member of …
AN A POSTERIORI ERROR ANALYSIS OF ADAPTIVE FINITE ELEMENT METHODS FOR DISTRIBUTED ELLIPTIC CONTROL PROBLEMS WITH CONTROL CONSTRAINTS

We present an a posteriori error analysis of adaptive finite element approximations of distributed control problems for second order elliptic boundary value problems under bound constraints on the control. The error analysis is based on a residual-type a posteriori error estimator that consists of edge and element residuals. Since we do not assume any regularity of the data of the problem, the error analysis further invokes data oscillations. We prove reliability and efficiency of the error estimator and provide a bulk criterion for mesh refinement that also takes into account data oscillations and is realized by a greedy algorithm. A detailed documentation of numerical results for selected test problems illustrates the convergence of the adaptive finite element method.
Stability of the Magnetic Schrödinger Operator in a Waveguide

Abstract The spectrum of the Schrödinger operator in a quantum waveguide is known to be unstable in two and three dimensions. Any local enlargement of the waveguide produces eigenvalues beneath the continuous spectrum. Also, if the waveguide is bent, eigenvalues will arise below the continuous spectrum. In this paper a magnetic field is added into the system. The spectrum of the magnetic Schrödinger operator is proved to be stable under small local deformations and also under small bending of the waveguide. The proof includes a magnetic Hardy-type inequality in the waveguide, which is interesting in its own right. *Also on leave of absence from Nuclear Physics Institute, Academy of Sciences, Rez, near Prague, Czech Republic.
Estimating Unbiased and Precise Realized Covariances

Existing empirical work on realized covariances partitions the trading day in 5- or 30-minute intervals and then computes the sample covariance based on the resulting 5- or 30-minute returns. Such frequencies are heuristically or subjectively chosen to minimize the bias and avoid market microstructure effects. However, it is also important to consider the preciseness of the covariance estimator. This study compares different methods. Both when only non-trading matters (using midpoints of quotes) and when also bid-ask bounce matters (using transaction prices) the bias-adjusted sample covariance of returns (averaging over all possible subsamples) computed from interpolated prices around equidistant time marks performs well based on the root mean squared error. The optimal choice substantially lowers the RMSE compared to existing heuristic choices.
Supply-Side Macroeconomics

This paper tests New Classical and Keynesian explanations of output determination within an encompassing "factor utilization" model wherein the output decision by producers is modelled as the choice of a utilization rate for employed factors. In this encompassing model, the ratio of actual to normal output (with the latter defined by a nested CES vintage production function with capital, energy and employment as factor inputs) is explained by unexpected sales (a Keynesian element), abnormal profitability (one component of which is the Lucas "price surprise" effect), and abnormal inventories. Results using Canadian data show that the Keynesian and New Classical elements contribute explanatory power, as does the production-function-based measure of normal output, while each of these partial models is strongly rejected in favour of the encompassing model. The highly structured factor utilization model is also seen to fit better than an unstructured VAR model. U.S. data confirm the results, and show that there are significant effects from abnormal demand, profitability and inventory levels even if the labour and capital components of normal output are defined using hours and utilized capital rather than employment and the capital stock. The results are also confirmed using alternative output (and hence input) concepts, using a translog function instead of a CES function to define normal output, and using data for several other major industrial countries.