nils-herrmann/clean_scirepeval huggingface dataset:
How Did I Get Here? The Evolution of Social Network Position Within Firms
Year: 2010

Volumes have been written on the subject of innovation, in academic literature as well as the popular press. Conventional wisdom would have one believe that innovation is the purview of the lone inventor at the workbench or the solo scientist huddled over the laboratory microscope. Yet a growing body of literature points to how relationships among actors be they individuals, teams or entire companies form the foundations of new knowledge (Hargadon Sutton 1997; Powell, Koput Smith Doerr 1996; Uzzi Spiro 2005) The most effective networks of relations are those that facilitate the exchange of unique information, often from distinct domains (Fleming 2002; Hargadon 2003) Within those networks, the people best situated to conduct such exchanges possess either large numbers of connections or, more typically, occupy positions as bridges between otherwise disconnected third parties (Burt 1992; Galaskiewicz 1979; Gould Fernandez 1989) Despite the role social networks may play in fostering innovation, we do not well understand the processes by which actors come to occupy these positions. In this dissertation, I make use of a novel dataset to provide insight into how some people come to occupy certain preferential network position while others do not. Specifically, I study the work flow network among software engineers at a large, West Coast technology company as defined by the writing and reviewing of lines of code. By following a sample of 804 new entrants to the firm over a period of three years, I am able to trace the evolution of their positions within the larger network and understand the influence of factors present at time of entry.The results of the analyses paint a consistent picture as to the determinants of position in the code review network for software engineers: one's team and one's job at time of entry play the strongest roles in determining one's subsequent centrality and autonomy. I find little to no evidence in support of a role for either intellectual endowment (educational attainment, years of previous work experience, coding ability) or social endowment (pre employment relationships with other employees present at time of entry) Indeed, while non significant, results were frequently opposite the hypothesized direction for individual attributes. The strong evidence on the influence of job and team related factors suggests that individuals have the greatest opportunity to shape their network positions when they choose their jobs and their managers, and thus their teams. One additional finding suggests that network activity also matters. That is, one can increase both centrality and autonomy through the brute force of writing a great deal of code.
A Switchable Cross Species Liquid Repellent Surface.
Venue: Advanced materials
Year: 2017

A switchable cross species liquid repellent surface is developed that can rapidly switch between two distinct liquid repellent modes: i) the superhydrophobic mode, modeled after lotus leaves, and ii) the slippery mode, modeled after the pitcher plant peristome. Adaptive liquid repellency and programmable fog harvesting are demonstrated as application examples for the new switchable surface.
Les Golems du numerique. Droit d'auteur et Lex Electronica.
Year: 2016

Les golems dont il est question dans cet ouvrage ne sont pas ces creatures en argile de la mythologie yiddish, depourvues de libre arbitre en droit, la metaphore du GOLEM (Govenment Originated Legally Enforced Monopoly) designe la propriete intellectuelle en tant que monopole patrimonial garanti par la loi. Dans cet ouvrage reprenant la these de doctorat de l'auteure, il s'agit principalement des Digital Rights Management systems (DRM) dispositifs techniques de regulation controlant l'usag.
The Effects of Key Audit Matters on the Auditor's Report's Communicative Value: Experimental Evidence from Investment Professionals and Non professional Investors
Year: 2020

We investigate the effect of key audit matters (KAM) in the auditor's report as required by the new ISA 701. We consider investment professionals and non professional investors in our experiments, in which we test the communicative value of a KAM section relating to goodwill impairment. Our main results show that in the condition in which the KAM section suggests that already small changes in the key assumptions could eventually lead to a goodwill impairment (KAM negative condition) investment professionals assess the economic situation of the company to be significantly better as compared to the condition in which the KAM section suggests that only large changes in the key assumptions could eventually lead to a goodwill impairment (KAM positive condition) In the additional analysis with non professional investors, we find that a KAM section has no communicative value, implying that non professional investors have difficulties with processing the information conveyed with KAM.
Differential expression analysis for sequence count data
Year: 2010

High throughput nucleotide sequencing provides quantitative readouts in assays for RNA expression (RNA Seq) protein DNA binding (ChIP Seq) cell counting. Statistical inference of differential signal in these data needs to take into account their natural variability throughout the dynamic range. When the number of replicates is small, error modeling is needed to achieve statistical power.  We propose an error model that uses the negative binomial distribution, with variance and mean linked by local regression, to model the null distribution of the count data. The method controls type I error and provides good detection power. A free open source R/Biondonductor software package, called "DESeq" is available from "http:/www huber.embl.de/users/anders/DESeq":http:/www huber.embl.de/users/anders/DESeq
Evaluacion de calidad de un servicio de voluntariado hospitalario en oncologia: niveles de satisfaccion de los pacientes de cancer y sus familias
Year: 2017

Objetivo y metodo: evaluar el impacto del programa de voluntariado hospitalario a traves de la importancia atribuida, el grado de satisfaccion manifestado por los usuarios y la disposicion a recomendar el servicio. Para ello se realizo un estudio de satisfaccion realizado en dos fases. Estudio cuantitativo a traves de entrevista personal con cuestionario semi estruturado y estudio cualitativo a traves de entrevista personal abierta.  Participaron 654 pacientes y familiares. En la valoracion de la actividad voluntaria se obtiene una puntuacion de (9,3) en pacientes (9,2) en familiares en una escala de 0 a 10. El 77% de los usuarios se muestra dispuesto a recomendar a otras personas el servicio de voluntariado obteniendose un Indice NPS netamente positivo +80) Los usuarios destacan de los voluntarios especialmente la amabilidad y el respeto por la intimidad (89% y el 82% respectivamente) y ofrecen una puntuacion media de 9,2, y 9,4 en una escala de 10.  Se obtiene una valoracion unanimemente positiva de la labor de los voluntarios y una gran disposicion a recomendar el contacto con los voluntarios. La mayor utilizacion de los servicios de los voluntarios se vincula a una mejor valoracion. Se concede mayor prioridad a la actividad de visitar a pacientes ingresados para acompanar y ofrecer apoyo emocional. La valoracion de la labor desempenada por los voluntarios es muy positiva especialmente en amabilidad y respeto por la intimidad. Los usuarios no demandan nada nuevo pero si incrementar la difusion del servicio, mas voluntarios y ampliar el horario de atencion.
LZ77 Like Lossy Transformation of Quality Scores
Venue: 2018 Data Compression Conference
Year: 2018

The current development in the Next Generation Sequencing (NGS) technologies and the gradual growth of its use leads to the production of a huge amount of sequencing data. There is a need to efficiently transfer and store these data. This article introduces a novel lossy transformation algorithm for quality scores in sequencing data. Asymptotically, the algorithm preserves the likelihood of occurrence of particular quality score in individual positions of quality sequences. Such a model may be advantageous for sequencing data with very high coverage, such as targeted amplicon sequencing data. In experimental results, we show the comparison of characteristics of this algorithm with other algorithms performing lossy compression of the quality sequences. The proposed algorithm can be easily integrated into current sequencing pipelines. In this work we apply the algorithm to SAM files, which are then compressed into BAM files. The goal of the algorithm is to modify the data so that the subsequent Deflate algorithm application achieves a better compression ratio while minimizing the negative effects in the subsequent variant calling.
Long term recurrent convolutional networks for visual recognition and description
Venue: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2015

Models based on deep convolutional networks have dominated recent image interpretation tasks; we investigate whether models which are also recurrent, or "temporally deep" are effective for tasks involving sequences, visual and otherwise. We develop a novel recurrent convolutional architecture suitable for large scale visual learning which is end to end trainable, and demonstrate the value of these models on benchmark video recognition tasks, image description and retrieval problems, and video narration challenges. In contrast to current models which assume a fixed spatio temporal receptive field or simple temporal averaging for sequential processing, recurrent convolutional models are "doubly deep" in that they can be compositional in spatial and temporal "layers" Such models may have advantages when target concepts are complex and/or training data are limited. Learning long term dependencies is possible when nonlinearities are incorporated into the network state updates. Long term RNN models are appealing in that they directly can map variable length inputs (e.g. video frames) to variable length outputs (e.g. natural language text) and can model complex temporal dynamics; yet they can be optimized with backpropagation. Our recurrent long term models are directly connected to modern visual convnet models and can be jointly trained to simultaneously learn temporal dynamics and convolutional perceptual representations. Our results show such models have distinct advantages over state of the art models for recognition or generation which are separately defined and/or optimized.
El final del modernismo en la obra de Ricardo Leon
Year: 2012

La tesis titulada "El final del modernismo en la obra de Ricardo Leon" es una biografia intelectual de este autor, uno de los mas leidos en la Espana de los anos 20 y 30 y hoy practicamente olvidado. Esta biografia transcurre de forma paralela al estudio de todas sus obras, y entroncando ambos aspectos, vida y obra del escritor, con el proceso historico sufrido por Espana entre el desastre del 98 y la guerra de 1936 39 y la posguerra. Todo ello en relacion con los movimientos literarios surgidos en ese periodo, desde el modernismo hasta el realismo en sus diversas variantes. El objetivo basico de este trabajo es mostrar los contornos de la obra de Ricardo Leon al trasluz de su vida, al tiempo que se situa a ambos en su contexto historico y estetico, para ofrecer un ejemplo del cambio general de un autor significado.
Students' engagement in first year university
Year: 2008

This paper reports on seven calibrated scales of student engagement emerging from a large scale study of first year undergraduate students in Australian universities. The analysis presents insights into contemporary undergraduate student engagement, including online, self managed, peer and student staff engagement. The results point to the imperative for developing a broader understanding of engagement as a process with several dimensions. These must be acknowledged in any measurement and monitoring of this construct in higher education. The paper calls for a more robust theorising of the engagement concept that encompasses both quantitative and qualitative measures. It considers implications for pedagogy and institutional policy in support of enhancing the quality of the student experience.
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
Venue: ArXiv
Year: 2020

Adversarial training has shown its ability in producing models that are robust to perturbations on the input data, but usually at the expense of decrease in the standard accuracy. To mitigate this issue, it is commonly believed that more training data will eventually help such adversarially robust models generalize better on the benign/unperturbed test data. In this paper, however, we challenge this conventional belief and show that more training data can hurt the generalization of adversarially robust models in the classification problems. We first investigate the Gaussian mixture classification with a linear loss and identify three regimes based on the strength of the adversary. In the weak adversary regime, more data improves the generalization of adversarially robust models. In the medium adversary regime, with more training data, the generalization loss exhibits a double descent curve, which implies the existence of an intermediate stage where more training data hurts the generalization. In the strong adversary regime, more data almost immediately causes the generalization error to increase. Then we move to the analysis of a two dimensional classification problem with a 0 1 loss. We prove that more data always hurts the generalization performance of adversarially trained models with large perturbations. To complement our theoretical results, we conduct empirical studies on Gaussian mixture classification, support vector machines (SVMs) and linear regression.
Trends in Su x Sorting: A Survey of Low Memory Algorithms
Venue: ACSC
Year: 2012

The suffix array is a sorted array of all the suffixes in a string. This remarkably simple data structure is fundamental for string processing and lies at the heart of efficient algorithms for pattern matching, pattern mining, and data compression. In many applications suffix array construction, or equivalently suffix sorting, is a computational bottleneck and so has been the focus of intense research in the last 20 years. This paper outlines several suffix array construction algorithms that have emerged since the survey due to Puglisi, Smyth and Turpin [ACM Computing Surveys 39, 2007] These algorithms have tended to strive for small working space (RAM) often at the cost of runtime, and make use of compressed data structures or secondary memory (disk) to achieve this goal. We provide a high level description of each algorithm, avoiding implementation details as much as possible, and outline directions that could benefit from further research.
Bacillus anthracis SlaQ Promotes S Layer Protein Assembly
Venue: Journal of bacteriology
Year: 2015

Bacillus anthracis vegetative forms assemble an S layer comprised of two S layer proteins, Sap and EA1. A hallmark of S layer proteins are their C terminal crystallization domains, which assemble into a crystalline lattice once these polypeptides are deposited on the bacterial surface via association between their N terminal S layer homology domains and the secondary cell wall polysaccharide. Here we show that slaQ, encoding a small cytoplasmic protein conserved among pathogenic bacilli elaborating S layers, is required for the efficient secretion and assembly of Sap and EA1. S layer protein precursors cosediment with SlaQ, and SlaQ appears to facilitate Sap assembly. Purified SlaQ polymerizes and when mixed with purified Sap promotes the in vitro formation of tubular S layer structures. A model is discussed whereby SlaQ, in conjunction with S layer secretion factors SecA2 and SlaP, promotes localized secretion and S layer assembly in B. anthracis.  S layer proteins are endowed with the propensity for self assembly into crystalline arrays. Factors promoting S layer protein assembly have heretofore not been reported. We identified Bacillus anthracis SlaQ, a small cytoplasmic protein that facilitates S layer protein assembly in vivo and in vitro.
Influence of Spartina Colonization on the Supply and Accumulation of Organic Carbon in Tidal Salt Marshes of Northern Jiangsu Province, China
Year: 2011

J. 2012. Influence of Spartina colonization on the supply and accumulation of organic carbon in tidal salt marshes of northern Jiangsu Province, China. Two species of cordgrass (Spartina anglica Hubbard and Spartina alterniflora Loisel. were artificially introduced to the intertidal zone of Jiangsu Province, China, in 1963 and 1982, respectively. However, as alien species, the impact of Spartina on the tidal flat ecosystem remains largely unknown. Suaeda salsa and Phragmites australis, two native plants in the intertidal zone of northern Jiangsu Province, China, are C3 type plants, whereas the Spartina species are C4 type plants. In this article, we investigate the vertical distribution of total organic carbon, total nitrogen, and organic carbon isotope ratios in different ecosystems associated with the northern Jiangsu tidal flats; analyze changes in the organic carbon sources in the tidal flat sediments after Spartina colonization; compare carbon burial patterns at different evolutionary stages in the tidal flats; and discuss the effects of Spartina on organic carbon cycling over the intertidal flats on the Jiangsu, China, coast. Before the introduction of Spartina, the organic material in the intertidal sediments of the study area mainly came from a combination of marine and C3 plants. After the introduction of Spartina, the contribution of S. alterniflora to the organic carbon content in the salt marsh strata exceeded those made by marine sources and other C3 plants. On the S. anglica flat, the quantity of organic carbon originated from S. anglica was lower than from S. alterniflora but was still greater than the contribution made by native C3 plants. The introduction of Spartina not only had a significant effect on primary productivity throughout the tidal flats but also enhanced the organic carbon accumulation rate in the sediment.
MONEY LAUNDERING: MACROECONOMIC ASSESSMENT METHODS AND CURRENT TREND IN UKRAINE
Year: 2020

The paper examines the scientists' approaches to the evaluation of money laundering. Attention is drawn to the macroeconomic results of such an analysis. The research on the scope of money laundering and its impact on the country's economy is reviewed. Relevant literature and selected techniques have been highlighted and are widely available in the world. The focus is on discussing the macroeconomic implications of money laundering and on finding methods for evaluating the various scales and conclusions reached by various scholars on the scope and flows of money laundering. An authors' approach to the analysis of the phenomenon of money laundering is proposed based on the study of the links between the level of money laundering with the level of vulnerability of economic sectors and the spread of other negative socio economic phenomena. Using unique empirical data obtained as a result of an expert survey in the field of money laundering, conducted a statistical analysis and test of the statistical hypothesis regarding the presence of interconnections and to determine the essential dependence of money laundering level on the selected indicators' subgroups of macroeconomic nature for analysis based on Pearson and Kendall's Taw correlation coefficients. The conclusions on the correlation between the level of money laundering in Ukraine and macroeconomic processes in Ukraine are substantiated: shadowing of economic relations, optimization of tax burden at the initiative of business entities and <prosperity> of money laundering due to strong corruption ties in this sphere. The grounds for determining the priorities of further state policy in the sphere of anti money laundering have been formed, for the national financial monitoring of relevant benchmarks of increased risk of financial transactions in specific sectors of the economy and possible further methodological use of sectoral analysis (with wider coverage of the national economic sectors) money laundering risks.
Structural study of Na2O FeO Fe2O3 P2O5 glasses by Raman and Mossbauer spectroscopy
Year: 2014

Five series of Na 2 O FeO Fe 2 O 3 P 2 O 5 glasses with compositional ranges of 3.0 Fe of the Fe ions decreased, as indicated by the Mossbauer data. The interaction between phosphate anions and iron polyhedra causes systematic changes in the Raman frequencies as well as peak intensities.
Formacion universitaria y aprendizaje de la escritura profesional
Year: 2015

In this paper, the results of three investigations in which the perceptions of psico pedagogues students and teachers of the Licenciatura en Psicopedagogia (UNRC) regarding the relationship between academic training and the development of professional writing are researched. This work is about case studies oriented to (1) characterizing the writing practices of psico pedagogues; (2) exploring their perspectives about the training they received at university regarding such practices; (3) inquiring into the students' beliefs regarding the training done at university in relation to their future professional writing; and (4) determining the role assigned to the development of professional writing skills in specific curricular spaces. The results obtained in the research allowed us to identify different appraisements regarding the relationship mentioned above. The psico pedagogues seem to believe that professional writing skills only start developing at the time they start working, though they recognize the importance of the training received at university. The students admit that the writing they are required to do at university has an influence in what they need to know for their professional lives but they are not very precise in this respect. The teachers agree in the need to train their students in specific writing practices though they do not often require their students to produce written texts that reflect the writing they will need to produce as professionals and they do offer them systematic training in the specific professional genres.
Definition of users' requirements in the customized product design through a user centered translation method
Year: 2017

The design of customized product must correspond to users' requirements to reach the expectations of the consumer. To include users in the design product process, we are interested in their perception of the product. We essentially realize a technical approach to guide the user for defining his personalized product. Based on the complexities of user's profiles in order to translate his requirements, we define a systemic approach in a chain of design and additive manufacturing. The method is implemented into a web demonstrator. We defined a combinatory scheme and several illustrated scenari from Information Technology (IT) used as a template to analyze rich field data exchanges. The method provided a toolkit for leading the participation of multiple stakeholders in the design process (users, designers, advisers, community. Finally, we determine a workflow required to product lifecycle management in the case where the user is in the center of the application to realize a customized product. The research framework shows that the community participation is central to the system so that the economic model is reliable. This paper presents the research method associated to the Internet platform creation.