nils-herrmann/clean_scirepeval huggingface dataset:
Gaia Data Release 1 Summary of the astrometric, photometric, and survey properties

At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7.  A summary of Gaia DR1 is presented along with illustrations of the scientific quality of the data, followed by a discussion of the limitations due to the preliminary nature of this release.  The raw data collected by Gaia during the first 14 months of the mission have been processed by the Gaia Data Processing and Analysis Consortium (DPAC) and turned into an astrometric and photometric catalogue.  Gaia DR1 consists of three components: a primary astrometric data set which contains the positions, parallaxes, and mean proper motions for about 2 million of the brightest stars in common with the Hipparcos and Tycho 2 catalogues a realisation of the Tycho Gaia Astrometric Solution (TGAS) and a secondary astrometric data set containing the positions for an additional 1.1 billion sources. The second component is the photometric data set, consisting of mean G band magnitudes for all sources. The G band light curves and the characteristics of 3000 Cepheid and RR Lyrae stars, observed at high cadence around the south ecliptic pole, form the third component. For the primary astrometric data set the typical uncertainty is about 0.3 mas for the positions and parallaxes, and about 1 mas yr 1 for the proper motions. A systematic component of 0.3 mas should be added to the parallax uncertainties. For the subset of 94 000 Hipparcos stars in the primary data set, the proper motions are much more precise at about 0.06 mas yr 1. For the secondary astrometric data set, the typical uncertainty of the positions is 10 mas. The median uncertainties on the mean G band magnitudes range from the mmag level to 0.03 mag over the magnitude range 5 to 20.7.  Gaia DR1 is an important milestone ahead of the next Gaia data release, which will feature five parameter astrometry for all sources. Extensive validation shows that Gaia DR1 represents a major advance in the mapping of the heavens and the availability of basic stellar data that underpin observational astrophysics. Nevertheless, the very preliminary nature of this first Gaia data release does lead to a number of important limitations to the data quality which should be carefully considered before drawing conclusions from the data.
SEAGULL: Seam Guided Local Alignment for Parallax Tolerant Image Stitching
Venue: ECCV

Image stitching with large parallax is a challenging problem. Global alignment usually introduces noticeable artifacts. A common strategy is to perform partial alignment to facilitate the search for a good seam for stitching. Different from existing approaches where the seam estimation process is performed sequentially after alignment, we explicitly use the estimated seam to guide the process of optimizing local alignment so that the seam quality gets improved over each iteration. Furthermore, a novel structure preserving warping method is introduced to preserve salient curve and line structures during the warping. These measures substantially improve the effectiveness of our method in dealing with a wide range of challenging images with large parallax.
Increased errors and decreased performance at night: A systematic review of the evidence concerning shift work and quality.
Venue: Work

Shift workers have worse health outcomes than employees who work standard business hours. However, it is unclear how this poorer health shift may be related to employee work productivity.  The purpose of this systematic review is to assess the relationship between shift work and errors and performance.  Searches of MEDLINE/PubMed, EBSCOhost, and CINAHL were conducted to identify articles that examined the relationship between shift work, errors, quality, productivity, and performance. All articles were assessed for study quality.  A total of 435 abstracts were screened with 13 meeting inclusion criteria. Eight studies were rated to be of strong, methodological quality. Nine studies demonstrated a positive relationship that night shift workers committed more errors and had decreased performance.  Night shift workers have worse health that may contribute to errors and decreased performance in the workplace.
Spurs Free Single Bit Output All Digital Frequency Synthesizers With Forward and Feedback Spurs and Noise Cancellation
Venue: IEEE Transactions on Circuits and Systems I: Regular Papers

All digital frequency synthesis architectures with phase and polar S D modulation feedback loops are introduced as a means to overcome the inherent spectral quality limitations of forward dithered all digital frequency synthesizers represented by the family of pulse direct digital synthesizers. The spectrum of dithered pulse direct digital synthesizers is derived first, with and without modulation, as well as that of their variations with multiple dithered paths and with colored dithering resulting in lower noise level. The limited dynamic range achieved by forward dithered all digital frequency synthesizers motivates the introduction of phase and polar S D modulation feedback loop architectures which are modeled and analyzed to derive their noise transfer functions. Extensive MATLAB simulation illustrates the suppressed near in noise and the high spurs free dynamic range the two S D schemes can achieve and the wideband spurs free output of the polar one. Detailed analysis and implementation aspects of the techniques are outside the scope of the paper.
Performance Modeling and Predictive Scheduling for Distributed Stream Data Processing
Venue: IEEE Transactions on Big Data

In a distributed stream data processing system, an application is usually modeled using a directed graph, in which each vertex corresponds to a data source or a processing unit, and edges indicate data flow. In this paper, we propose a novel predictive scheduling framework to enable fast and distributed stream data processing, which features topology aware modeling for performance prediction and predictive scheduling. For prediction, we present a topology aware method to accurately predict the average tuple processing time of an application for a given scheduling solution, according to the topology of the application graph and runtime statistics. For scheduling, we present an effective algorithm to assign threads to machines under the guidance of prediction results. To validate and evaluate the proposed framework, we implemented it based on a highly regarded distributed stream data processing platform, Storm, and tested it with 3 representative applications: word count (stream version) log stream processing and continuous query. Extensive experimental results show 1) The topology aware prediction method offers an average accuracy of 84.2 percent. 2) The predictive scheduling framework reduces the average tuple processing time by 24.9 percent on average, compared to Storm's default scheduler.
Processing of positive causal and negative causal coherence relations in primary school children and adults: a test of the cumulative cognitive complexity approach in German*
Venue: Journal of Child Language

Establishing local coherence relations is central to text comprehension. Positive causal coherence relations link a cause and its consequence, whereas negative causal coherence relations add a contrastive meaning (negation) to the causal link. According to the cumulative cognitive complexity approach, negative causal coherence relations are cognitively more complex than positive causal ones. Therefore, they require greater cognitive effort during text comprehension and are acquired later in language development. The present cross sectional study tested these predictions for German primary school children from Grades 1 to 4 and adults in reading and listening comprehension. Accuracy data in a semantic verification task support the predictions of the cumulative cognitive complexity approach. Negative causal coherence relations are cognitively more demanding than positive causal ones. Moreover, our findings indicate that children's comprehension of negative causal coherence relations continues to develop throughout the course of primary school. Findings are discussed with respect to the generalizability of the cumulative cognitive complexity approach to German.
Reference based compressed sensing: A sample complexity approach
Venue: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

We address the problem of reference based compressed sensing: reconstruct a sparse signal from few linear measurements using as prior information a reference signal, a signal similar to the signal we want to reconstruct. Access to reference signals arises in applications such as medical imaging, e.g. through prior images of the same patient, and compressive video, where previously reconstructed frames can be used as reference. Our goal is to use the reference signal to reduce the number of required measurements for reconstruction. We achieve this via a reweighted l1 l1 minimization scheme that updates its weights based on a sample complexity bound. The scheme is simple, intuitive and, as our experiments show, outperforms prior algorithms, including reweighted l1 minimization, l1 l1 minimization, and modified CS.
Economic Convergence in the EU: A Complexity Approach

This paper examines the effect of economic complexity on economic growth in the context of the EU countries. Our results suggest that a group of countries in the EU whose economic complexity exceeds a certain threshold tend to converge to levels of income corresponding to their measured complexity. On the other hand, the interaction of the current account deficit with economic complexity has important effects on growth for a second group of countries with lower levels of complexity. Since we also find that income convergence is faster within the first group, we argue that convergence is much faster for countries whose economic complexity exceeds a certain threshold.
Mindfulness based meditation to decrease stress and anxiety in college students: A narrative synthesis of the research

The primary purpose of this paper was to narratively review the research testing the effects of mindfulness meditation on stress and anxiety in the college students; reviewing the inclusion of mindfulness was a secondary purpose.  A literature search resulted in 57 studies on the effectiveness of mindfulness meditation in reducing stress and anxiety in college students.  Researchers examined anxiety in 40 studies, self reported stress in 34, physiological stress in 11, and mindfulness in 24. Thirty three of 40 and 25 of 34 studies showed significant decreases in anxiety and stress respectively; 22 of 24 showed an increase in mindfulness. Physiological stress had inconsistent results indicating a need for further research. Overall, mindfulness meditation shows promise in reducing stress and anxiety in college students. Additionally, there are a number of differences in mindfulness interventions including frequency, duration, instructional method, and inclusion of yoga, that need quantitative examination (meta analysis) to determine which is most effective.
Mindfulness and the Experience of Psychological Distress: the Mediating Effects of Emotion Regulation and Attachment Anxiety

Mindfulness has been linked with decreased psychological distress, yet little is known about the possible intervening variables to explain this link. The aim of this study was to investigate the contribution of attachment styles and emotion regulation in explaining the relationship between mindfulness and psychological distress. It was hypothesised that mindfulness would be inversely associated with psychological distress, and that attachment style (attachment anxiety and attachment avoidance) and emotion regulation would mediate this relationship. Australian adults (N 402) completed an online questionnaire assessing mindfulness, emotion regulation, attachment style, and current psychological distress. Bootstrap mediation analyses confirmed an inverse relationship between mindfulness and distress. Both attachment anxiety and emotion regulation deficits were found to mediate the association between mindfulness and distress; however, attachment avoidance was not found to have a mediating effect. The findings are the first to demonstrate that attachment anxiety and emotion regulation deficits, in part, explain the association between mindfulness and various indicators of psychological distress. These findings highlight factors that may be useful to focus on within psychosocial interventions addressing psychological distress.
Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults.
Venue: Journal of psychiatric research

As mobile data capture tools for patient reported outcomes proliferate in clinical research, a key dimension of measure performance is sensitivity to change. This study compared performance of patient reported measures of mindfulness, depression, and anxiety symptoms using traditional paper and pencil forms versus real time, ambulatory measurement of symptoms via ecological momentary assessment (EMA) Sixty seven emotionally distressed older adults completed paper and pencil measures of mindfulness, depression, and anxiety along with two weeks of identical items reported during ambulatory monitoring via EMA before and after participation in a randomized trial of Mindfulness Based Stress Reduction (MBSR) or a health education intervention. We calculated effect sizes for these measures across both measurement approaches and estimated the Number Needed to Treat (NNT) in both measurement conditions. Study outcomes greatly differed depending on which measurement method was used. When EMA was used to measure clinical symptoms, older adults who participated in the MBSR intervention had significantly higher mindfulness and significantly lower depression and anxiety than participants in the health education intervention at post treatment. However, these significant changes in symptoms were not found when outcomes were measured with paper and pencil measures. The NNT for mindfulness and depression measures administered through EMA were approximately 25 50% lower than NNTs derived from paper and pencil administration. Sensitivity to change in anxiety was similar across administration modes. In conclusion, EMA measures of depression and mindfulness substantially outperformed paper and pencil measures with the same items. The additional resources associated with EMA in clinical trials would seem to be offset by its greater sensitivity to detect change in key outcome variables.
Linear codes with few weights from weakly regular bent functions based on a generic construction
Venue: Cryptography and Communications

We contribute to the knowledge of linear codes with few weights from special polynomials and functions. Substantial efforts (especially due to C. Ding) have been directed towards their study in the past few years. Such codes have several applications in secret sharing, authentication codes, association schemes and strongly regular graphs. Based on a generic construction of linear codes from mappings and by employing weakly regular bent functions, we provide a new class of linear p ary codes with three weights given with its weight distribution. The class of codes presented in this paper is different from those known in literature.
Antifungal activity of pomegranate peel extract against fusarium wilt of tomato
Venue: European Journal of Plant Pathology

Pomegranate (Punica granatum) is an important source of bioactive compounds and has been used in folk medicine for many centuries. This paper describes the in vitro antifungal activity of pomegranate peel aqueous extract (pae) on the development of Fusarium wilt of tomato caused by Fusarium oxysporum, f. sp. lycopersici. HPLC DAD ESI/MS analysis was performed to identify punicalagins and ellagic acid, which are the main antifungal compounds. In vivo tests established the efficacy of pae treatments in controlling Fusarium wilt by evaluating improvements in growth variables of tomato plants. At high concentrations, pae showed allelopathic activity in tomato plants. The germination and the radicle growth of tomato seeds were significantly affected by pae. Increasing the extract concentration led to a progressive decrease in germination and in the length of the radicle. The reduction of the Fusarium population in soil and the increase in number of healthy plants obtained as a result of pae treatments indicate that this plant extract could have an important role in biologically based management strategies for the control of Fusarium wilt in tomato crops.
Multi product inventory modeling with demand forecasting and Bayesian optimization

espanolLa complejidad de las cadenas de suministro exige mejores metodos para programar los inventarios de una empresa. En este trabajo se presenta una comparacion entre modelos de pronosticos de demanda de multiples productos, eligiendo el mejor entre: ARIMA, Suavizacion exponencial, Regresion Lineal Bayesiana y un Modelo Lineal Dinamico Bayesiano. Para ello, primero se realiza una simulacion de casos donde no hay una Distribucion Normal en las series de tiempo, segundo, se estiman las predicciones de ventas de tres productos de una estacion de servicios de gasolina con los cuatro modelos, encontrando los mejores resultados para la Regresion Lineal Bayesiana. Seguido a esto, se presenta la optimizacion de un Modelo de Inventarios Multi Producto. Para definir la politica de pedidos, inventarios, costos y ganancias, se utiliza una busqueda bayesiana, que integra elementos de busqueda Tabu para mejorar la solucion. Dicha Optimizacion del Modelo de Inventarios se aplica a un caso de una estacion de combustibles en Colombia. EnglishThe complexity of supply chains requires advanced methods to schedule companies' inventories. This paper presents a comparison of model forecasts of demand for multiple products, choosing the best among the following: autoregressive integrated moving average (ARIMA) exponential smoothing (ES) a Bayesian regression model (BRM) and a Bayesian dynamic linear model (BDLM) To this end, cases in which the time series is normally distributed are first simulated. Second, sales predictions for three products of a gas service station are estimated using the four models, revealing the BRM to be the best model. Subsequently, the multi product inventory model is optimized. To define the policies for ordering, inventory, costs, and profits, a Bayesian search integrating elements of a Tabu search is used to improve the solution. This inventory model optimization process is then applied to the case of a gas service station in Colombia.
Requerimientos de riego y prediccion del rendimiento en el cultivo de banano mediante un modelo de simulacion en el Uraba antioqueno, Colombia

El cultivo de banano es la actividad agricola mas importante de la economia del Uraba antioqueno, desarrollada en 49 000 ha. El fenomeno ENSO ha afectado la produccion debido a deficit de precipitacion, incrementos de temperatura y periodos de sequia mas intensos, a lo que se suman las altas incertidumbres asociadas con el cambio climatico y la distribucion desigual de las lluvias en la zona; todo ello ha aumentado la necesidad de riego. El objetivo fue estimar mediante simulaciones con el modelo CROPWAT los requerimientos de riego y la reduccion del rendimiento del banano cuando se cultiva en condiciones sin riego en tres escenarios de precipitacion: 20% (humedo) 50% (normal) y 80% (seco) de probabilidad de excedencia. Se usaron datos diarios de precipitacion y temperatura maxima y minima de siete estaciones meteorologicas, informacion fenologica y referencias edafologicas del Uraba, con siembras: en la estacion seca (verano) (SV) y en la estacion humeda (temporada de lluvias) (SL) En los resultados, la evapotranspiracion del cultivo presenta sus valores mayores con (SV) en marzo agosto y con (SL) en julio agosto, Salpicon es la mayor. Todas las estaciones presentan sus valores menores de precipitacion efectiva entre enero y marzo, y los requerimientos hidricos mayores para la SV y en el escenario seco (80 La reduccion del rendimiento en SV fue de 0.9% (humedo) 5 a 15% (normal) y 25 a 30% (seco) en SL de 2% (humedo) 1 a 3% (normal) y 5 a 10% (seco) En la zona norte del Uraba antioqueno, el riego suplementario es importante para no tener bajas en el rendimiento en los escenarios seco y normal.
Aplicacion de Tecnicas de Validacion de un Modelo de Simulacion de Dinamica de Sistemas. Caso de Estudio

La validacion de un modelo constituye un paso fundamental para garantizar la confiabilidad de la informacion. En este articulo se presenta una aplicacion de las tecnicas de validacion propuesta por varios autores para un modelo dinamico en un caso de estudio real de aplicacion industrial, en el ramo del area metal mecanica. Se presenta un esquema metodologico de varios aspectos y pasos de la validacion formal del modelo propuesto, en el cual se especifica las pruebas de validacion en dos etapas: estructura del modelo y estructura del comportamiento. Los principales resultados muestras que estas tecnicas de validacion disminuyen el riesgo asociado a errores potenciales del desarrollo del modelo y su representacion con la realidad al ser comparado con eventos de la vida real
New type of Weyl semimetal with quadratic double Weyl fermions
Venue: Proceedings of the National Academy of Sciences

We predict a new Weyl semimetal candidate. This is critically needed for this rapidly developing field as TaAs is the only known Weyl semimetal in nature. We show that SrSi2 has many new and novel properties not possible in TaAs. Our prediction provides a new route to studying the elusive Weyl fermion particles originally considered in high energy physics by tabletop experiments. Weyl semimetals have attracted worldwide attention due to their wide range of exotic properties predicted in theories. The experimental realization had remained elusive for a long time despite much effort. Very recently, the first Weyl semimetal has been discovered in an inversion breaking, stoichiometric solid TaAs. So far, the TaAs class remains the only Weyl semimetal available in real materials. To facilitate the transition of Weyl semimetals from the realm of purely theoretical interest to the realm of experimental studies and device applications, it is of crucial importance to identify other robust candidates that are experimentally feasible to be realized. In this paper, we propose such a Weyl semimetal candidate in an inversion breaking, stoichiometric compound strontium silicide, SrSi2, with many new and novel properties that are distinct from TaAs. We show that SrSi2 is a Weyl semimetal even without spin orbit coupling and that, after the inclusion of spin orbit coupling, two Weyl fermions stick together forming an exotic double Weyl fermion with quadratic dispersions and a higher chiral charge of 2. Moreover, we find that the Weyl nodes with opposite charges are located at different energies due to the absence of mirror symmetry in SrSi2, paving the way for the realization of the chiral magnetic effect. Our systematic results not only identify a much needed robust Weyl semimetal candidate but also open the door to new topological Weyl physics that is not possible in TaAs.