nils-herrmann/clean_scirepeval huggingface dataset:
Injury rate and prevention in elite football: let us first search within our own hearts
Venue: British Journal of Sports Medicine
Year: 2018

Research and discussions about injury rates and their prevention in elite football is one of the hottest topics in the medical and sport science literature. Over the past years, there has been an explosion of the number of publications, including surveys,1 observational, retrospective or prospective2 studies, training interventions and various types of expert opinions and commentaries.3 This array of information are likely useful to improve our understanding of what the best practices may be and, in turn, increase our ability to better prepare, manage and treat players. However, a recent survey has shown that 83% of UEFA clubs do not follow evidenced based prevention  It was also shown that hamstring injuries kept increasing over the last 13 years.2 Taken together, those two papers may suggest that the majority of elite club practitioners likely disregard research findings1 and may therefore be the one to be blamed for those increased injury rates.2 Making supporting staff and coaches responsible for those injuries is easy, especially when considering their perceived typical personality traits (ie, so called type 2,4 high egos and little open mindedness and willingness to learn 'why could they be bothered applying the new study findings? While this may be true sometimes, the reality is that
An Extension of a Class of Cost Sharing Methods to the Solutions of the Class of Two Person Cooperative Games
Year: 2016

Two person games and cost/surplus sharing problems are worth for studying because they are the base for their extending to the classes of such problems with variable population with the help of very powerful consistency properties. In the paper a family of cost sharing methods for cost sharing problems with two agents [Moulin 2000] is extended to a class of solutions for two person cooperative games that are larger than both cost sharing and surplus sharing problems, since cooperative games have no no restrictions on positivity of costs and surpluses. The tool of the extension is a new invariance axiom self covariance that can be applied both to cost sharing methods and to cooperative game solutions. In particular, this axiom replaces the Lower composition axiom not applicable to methods for profit sharing problems
Massively parallel computation of atmospheric neutrino oscillations on CUDA enabled accelerators
Venue: Comput. Phys. Commun.
Year: 2019

The computation of neutrino flavor transition amplitudes through inhomogeneous matter is a time consuming step and thus could benefit from optimization and parallelization. Next to reliable parameter estimation of intrinsic physical quantities such as neutrino masses and mixing angles, these transition amplitudes are important in hypothesis testing of potential extensions of the standard model of elementary particle physics, such as additional neutrino flavors. Hence, fast yet precise implementations are of high importance to research. In the recent past, massively parallel accelerators such as CUDA enabled GPUs featuring thousands of compute units have been widely adopted due to their superior memory bandwidth, vast compute capability, and highly competitive compute to energy ratio in comparison to traditional multi core architectures with a few tens of monolithic cores. In this paper, we introduce two scalable multi GPU extensions of common neutrino oscillation frameworks namely Prob3+ and n SQuIDS allowing for the acceleration of oscillation dynamics computation by one to three orders of magnitude while preserving numerical accuracy. Our software is licensed under LGPLv3 and can be accessed at https:/github.com/fkallen/CUDAProb3 and https:/github.com/fkallen/CUDAnuSQuIDS  CUDAProb3+ and CUDA n SQuIDS   LGPLv3  CUDA, C and C+  Fast computation of neutrino oscillation probabilities in inhomogeneous matter using constant coefficient or variable coefficient ODE solvers.  Solving ordinary differential equations on CUDA enabled GPUs.
On Weighted Portmanteau Tests for Time Series Goodness Of Fit
Year: 2015

Recent work in the literature has shown weighted variants of the classic portmanteau test for time series can be more powerful in many situations. In this article, we study the asymptotic distribution of weighted sums of the squared residual autocorrelations where both the sample size n and maximum lag of the statistic m grow large. Several weighting schemes are introduced, including a data adaptive statistic in which the weights are determined by a function of the sample partial autocorrelations. These statistics can provide more power than other portmanteau tests found in the literature and are much less sensitive to the choice of the maximum correlation lag. The efficacy of the proposed methods is further demonstrated through an analysis of Australian red wine sales.
Emerging therapies for food allergy.
Venue: The Journal of clinical investigation
Year: 2014

Food allergy is a common condition for which there are currently no approved treatments except avoidance of the allergenic food and treatment of accidental reactions. There are several potential treatments that are under active investigation in animal and human studies, but it is not yet clear what the best approach may be. Here, we review approaches that are currently in clinical trials, including oral, sublingual, and epicutaneous immunotherapy, immunotherapy combined with anti IgE, and Chinese herbal medicine as well as approaches that are in preclinical or early clinical investigation, including modified protein immunotherapy, adjuvants, DNA vaccines, and helminth administration. We discuss the importance of fully exploring the risks and benefits of any treatment before it is taken to general clinical practice and the need for clarity about the goals of treatment.
State and trait greed, its impact on risky decision making and underlying neural mechanisms
Venue: Social neuroscience
Year: 2015

We investigated whether greed would predict risky decision making and recorded neural responses during a monetary gambling task using the electroencephalogram. We found that individuals high in trait greed took higher risks to maximize monetary outcome. Furthermore, this relation was moderated by state greed; specifically, trait greed had a stronger impact on risky decision making when activated by situational characteristics. On the neural level, greedy individuals showed a specific response to favorable and unfavorable outcomes. Specifically, they had a reduced feedback related negativity difference score to these events, indicating that they might have difficulty in learning from experience, especially from mistakes and negative feedback. It is concluded that greed may explain risky and reckless behavior in diverse settings, such as investment banking, and may account for phenomena such as stock market bubbles.
Information technology and the accountant today: What has really changed?
Year: 2020

One of the major advancements in information technology (IT) is the use of IT tools to perform accounting functions and processes. In this paper, we provide discussions on how IT has affected the accountancy profession. We argued that the traditional duty of accountants is the preparation of financial statements, and consequently, several tasks are carried out throughout that function. In the pre IT era, accountants were faced with delays in transaction processing and reporting, continuous errors and misstatements, and difficulty in storing large data on papers. However, following the emergence of sophisticated IT tools, accountants in the IT era are now able to prepare and present financial statements more timely and accurately. The availability of the internet has also increased access to financial reports by external users. This paper further argues that in light of the continuous advancements in IT, future accountants and accounting processes are likely to; be cloud based, communicate with and through Artificial Intelligence machines; invest in Big Data and cyber security, and explore the potentials of Virtual Reality and Augmented Reality in meeting users' information needs. Hence, accountants and accountancy firms are advised to embrace new IT skills and tools, and keep up with technological trends.  Accountant, information technology, accountant, information technology, cloud computing, artificial intelligence and the big data.
Altered cytotoxicity of ROS inducing compounds by sodium pyruvate in cell culture medium depends on the location of ROS generation
Venue: SpringerPlus
Year: 2015

Induction of oxidative stress by drugs and other xenobiotics is an important mechanism of cytotoxicity. However, in vitro studies on the relationship between oxidative stress and cytotoxicity in cultured cells is frequently complicated by the fact that cell culture medium components affect reactive oxygen species (ROS) exposures in ways that vary with the mode of ROS production. The objectives of this study were to first determine the mode of ROS induction by certain model compounds when they are applied to cultured cells, and then to determine how ROS induction and cytotoxicity were affected by the ROS quenching medium component pyruvate. Three compounds, eseroline, benserazide, and pyrogallol induced H2O2 in cell culture media independent of cells. However, another compound, menadione, induced H2O2 in a manner largely dependent on the MDA MB 231 breast cancer cells used in this study, which is consistent with its known mechanism of inducing ROS through intracellular redox cycling. 1 mM pyruvate, as well as catalase, reduced the H2O2 in culture wells with each ROS inducer tested but it only reduced the cytotoxicity of cell independent inducers. It reduced the cytotoxicity of benserazide and pyrogallol >10 fold and of eseroline about 2.5 fold, but had no effect on menadione cytotoxicity. From this data, it was concluded that depending on the mechanism of ROS induction, whether intra or extracellular, a ROS quenching medium component such as pyruvate will differentially affect the net ROS induction and cytotoxicity of a test compound.
Inoculating against the spread of Islamophobic and radical Islamist disinformation
Venue: Cognitive research: principles and implications
Year: 2021

We report the results of a preregistered study that tested the effectiveness of inoculating participants against Islamophobic and radical Islamist disinformation. Participants in the experimental (inoculation) condition watched a video that explained common rhetorical markers of radical Islamist and Islamophobic disinformation that had been identified in an analysis of YouTube content. The information was presented in a neutral context not involving Islam and focused on analysis of the misleading argumentation. The control group watched a video about an unrelated topic. Participants were then exposed to target videos with "gateway" content that constituted an entry point to potential Islamist or Islamophobic radicalization. Both videos contained numerous items of disinformation. Participants then answered a variety of questions such as how likely they were to share the video, their level of agreement, and their perceived accuracy of the video. Participants who had received the inoculation displayed less agreement with the video content, perceived the video as less reliable, and were less likely to share it in comparison with participants in the control group. The study provides support for the use of argument based inoculation in combatting extremist messages.
Analysis of the Existing Problems and the Countermeasures in the Community Group Purchase Model
Year: 2020

Compared with the traditional store sales model, the community group purchase model caters to the needs of many customers because of its service advantages such as convenient pickup and low price. This model has developed rapidly in the country since its appearance in 2016, but many community group purchase merchants still have Many aspects are not done properly. From the perspective of consumer demand, this article analyzes the problems that currently exist in the services of community group buying merchants from the five aspects of goods, prices, distribution, services and publicity, and proposes corresponding solutions.
The Fractalkine/CX3CR1 System Regulates b Cell Function and Insulin Secretion
Venue: Cell
Year: 2013

Here, we demonstrate that the fractalkine (FKN)/CX3CR1 system represents a regulatory mechanism for pancreatic islet b cell function and insulin secretion. CX3CR1 knockout (KO) mice exhibited a marked defect in glucose and GLP1 stimulated insulin secretion, and this defect was also observed in vitro in isolated islets from CX3CR1 KO mice. In vivo administration of FKN improved glucose tolerance with an increase in insulin secretion. In vitro treatment of islets with FKN increased intracellular Ca(2+ and potentiated insulin secretion in both mouse and human islets. The KO islets exhibited reduced expression of a set of genes necessary for the fully functional, differentiated b cell state, whereas treatment of wild type (WT) islets with FKN led to increased expression of these genes. Lastly, expression of FKN in islets was decreased by aging and high fat diet/obesity, suggesting that decreased FKN/CX3CR1 signaling could be a mechanism underlying b cell dysfunction in type 2 diabetes.
Percepcion sobre alimentacion saludable en cuatro instituciones escolares
Year: 2020

Resumen Introduccion La obesidad infantil ha venido en aumento en los ultimos anos y Colombia no es ajena a esta problematica. Uno de los lugares para conocer la percepcion sobre comida saludable son las instituciones educativas, en las cuales los escolares son quienes escogen sus alimentos. Objetivo Caracterizar los habitos alimentarios de una poblacion pediatrica de cuatro instituciones educativas colombianas, con el fin de conocer las prioridades infantiles en cuanto a la escogencia de los alimentos, y por ende generar recomendaciones. Metodologia Estudio descriptivo multicentrico que presenta los resultados de encuestas dirigidas a escolares entre 8 y 18 anos, usuarios de tiendas escolares. Se realizo un analisis descriptivo de acuerdo con las preferencias de alimentacion por institucion, genero, edad, entre otros. Resultados Se incluyeron en total 512 escolares. La distribucion por genero y edad fue similar en las cuatro instituciones educativas. Entre los alimentos de preferencia predominaron los empaquetados, la pizza, los helados y, en menor proporcion, las frutas. En cuanto a las bebidas sobresalieron la gaseosa y el te en botella. En las razones para escoger los alimentos predomino "el sabor" seguido de la "facilidad y rapidez" en tanto que entre las razones para no escoger se encontro el precio como el motivo principal.  Es necesario hacer intervencion desde temprana edad para generar habitos de alimentacion saludable y equilibrada. Asi mismo, es prioritario disenar un programa para la deteccion de habitos alimentarios inadecuados en las instituciones escolares con el fin de combatirlos.
Trace element concentrations (labile and total measurements) in particles collected with GO Flo bottles and analyzed with ICP MS from the US GEOTRACES Arctic cruise (HLY1502; GN01) from August to October 2015
Venue: Biological and Chemical Oceanography Data Management Office
Year: 2019

Trace element concentrations in particles collected with GO Flo bottles and analyzed with ICP MS. Concentrations of labile and total metal fractions are reported. Samples were collected during the U.S. Arctic GEOTRACES cruise aboard USCGC Healy (GN01; HLY1502) from August to October 2015.
3D DCT based volumetric three dimensional video data compression method
Year: 2012

A three dimensional discrete cosine transform(3D DCT) based volumetric three dimensional video data compression method was proposed in order to solve the problem of huge volumetric three dimensional video data.The method combines 3D DCT and three dimensional motion estimation.The 3D DCT was adopted to exploit spacial redundancies in a volumetric frame.A fast three dimensional cube matching algorithm was proposed in motion estimation in order to reduce temporal redundancies between adjacent volumetric frames.A half voxel search algorithm was employed in order to improve the precision of cube matching.A quantitative method for intra frame and inter frame cube was proposed,and the quantified DCT coefficients were organized by a three dimensional zigzag scan.The 3D DCT coefficients were coded by a run length/adaptive arithmetic encoding system.Experimental results showed that the method outperformed JPEG2000 for sequences with slow motion,while the performance of the method was worse than JPEG2000 at high bitrates for sequences with drastic motion.The method gained 2 dB in average peak signal to noise ratio compared with the 3D DCT based static volumetric image compression method.
Incomplete multi view gene clustering with data regeneration using Shape Boltzmann Machine
Venue: Comput. Biol. Medicine
Year: 2020

Deciphering patterns in the structural and functional anatomy of genes can prove to be very helpful in understanding genetic biology and genomics. Also, the availability of the multiple omics data, along with the advent of machine learning techniques, aids medical professionals in gaining insights about various biological regulations. Gene clustering is one of the many such computation techniques that can help in understanding gene behavior. However, more comprehensive and reliable insights can be gained if different modalities/views of biomedical data are considered. However, in most multi view cases, each view contains some missing data, leading to incomplete multi view clustering. In this study, we have presented a deep Boltzmann machine based incomplete multi view clustering framework for gene clustering. Here, we seek to regenerate the data of the three NCBI datasets in the incomplete modalities using Shape Boltzmann Machines. The overall performance of the proposed multi view clustering technique has been evaluated using the Silhouette index and Davies Bouldin index, and the comparative analysis shows an improvement over state of the art methods. Finally, to prove that the improvement attained by the proposed incomplete multi view clustering is statistically significant, we perform Welch's t test. AVAILABILITY OF DATA AND MATERIALS: https:/github.com/piyushmishra12/IMC.
Brazil United States Military Relations during the Cold War: Political Dynamic and Arms Transfers
Year: 2012

This article discusses the military relations between Brazil and United States in the Cold War. Focusing on the dynamic of these relations and on arms transfers, one argues that the Brazilian military sought in the USA a path towards organizational modernization, industrialization and regional supremacy. Thus Brazil operated a movement from a very close and dependent position to a more distant one, since Washington did not support Brazilian objectives of military modernization and strategic autonomy and the anticommunist agenda became less important to Brazil.
Dissipative soliton trapping in normal dispersion fiber lasers.
Venue: Optics letters
Year: 2010

We report on the dissipative soliton (DS) trapping in a fiber ring laser mode locked with a semiconductor saturable absorber mirror and operated in normal dispersion regime. It was shown that despite the fact that a DS is strongly frequency chirped, two DSs formed along the two orthogonal polarization directions of a birefringent cavity fiber laser can incoherently couple and travel with the same group velocity in the laser. Numerical simulations have well confirmed the experimental observations.
Multitask Model for Person Re identification by Attribute aware
Year: 2021

The image based person re identification problem can be transformed into a similar image retrieval problem. At present, most of the current identity based methods do not consider pedestrian attributes. Moreover, many methods that consider pedestrian attributes and identities fail to fully simulate the relationship between pedestrian attributes and identities. In this article, we propose a new image based person re identification method by attributeaware. Based on the introduction of instance batch normalization, the nonlocal module based on attention is used to transform the ResNet network structure to improve the feature extraction performance. After using generalized mean pooling for feature aggregation, the identity based and attribute based double stream network modules pay attention to the relationship between identities and pedetrian features, and the relationship between attributes and pedestrian features, so as to fully activate the relationship between pedestrian attributes and identities. Experiments are carried out on two classic person re identification by attribute dataset Market 1501 and DukeMTMC reID, and the results prove the effectiveness of the method. The method proposed in this paper has achieved the best performance on some evaluation metrics.
Implementation of the Lattice Boltzmann Method on Heterogeneous Hardware and Platforms using OpenCL
Year: 2012

The Lattice Boltzmann method (LBM) has become an alternative method for computational fluid dynamics with a wide range of applications. Besides its numerical stability and accuracy, one of the major advantages of LBM is its relatively easy parallelization and, hence, it is especially well fitted to many core hardware as graphics processing units (GPU) The majority of work concerning LBM implementation on GPU's has used the CUDA programming model, supported exclusively by NVIDIA. Recently, the open standard for parallel programming of heterogeneous systems (OpenCL) has been introduced. OpenCL standard matures and is supported on processors from most vendors. In this paper, we make use of the OpenCL framework for the lattice Boltzmann method simulation, using hardware accelerators AMD ATI Radeon GPU, AMD Dual Core CPU and NVIDIA GeForce GPU's. Application has been developed using a combination of Java and OpenCL programming languages. Java bindings for OpenCL have been utilized. This approach offers the benefits of hardware and operating system independence, as well as speeding up of lattice Boltzmann algorithm. It has been showed that the developed lattice Boltzmann source code can be executed without modification on all of the used hardware accelerators. Performance results have been presented and compared for the hardware accelerators that have been utilized.
Unsupervised Adversarial Instance Level Image Retrieval
Venue: IEEE Transactions on Multimedia
Year: 2021

With the wide use of visual sensors in the Internet of Things (IoT) in the past decades, huge amounts of images are captured in people's daily lives, which poses challenges to traditional deep learning based image retrieval frameworks. Most such frameworks need a large amount of annotated training data, which are expensive. Moreover, machines still lack human intelligence, as illustrated by the fact that they pay less attention to the interesting regions that humans generally focus on when searching for images. Hence, this paper proposes a novel unsupervised framework that focuses on the instance object in the image and integrates human intelligence into the deep learning based image retrieval. This framework is called adversarial instance level image retrieval (AILIR) We incorporate adversarial training and an attention mechanism into this framework that considers human intelligence with artificial intelligence. The generator and discriminator are redesigned to guarantee that the generator retrieves similar images while the discriminator selects unmatched images and creates an adversarial reward for the generator. A minimax game is conducted by the adversarial reward retrieval mechanism until the discriminator is unable to judge whether the image sequence retrieved matches the query. Comparison and ablation experiments on four benchmark datasets prove that the proposed adversarial training framework indeed improves instance retrieval and outperforms the state of the art methods focused on instance retrieval.