nils-herrmann/clean_scirepeval huggingface dataset:
Oral administration of chestnut tannins to reduce the duration of neonatal calf diarrhea
Venue: BMC Veterinary Research
Year: 2018

BackgroundNeonatal calf diarrhea is generally caused by infectious agents and is a very common disease in bovine practice, leading to substantial economic losses. Tannins are known for their astringent and anti inflammatory properties in the gastro enteric tract. The aim of this study was to evaluate the effect of the oral administration of chestnut tannins (Castanea sativa Mill. in order to reduce the duration of calf neonatal diarrhea. Twenty four Italian Friesian calves affected by neonatal diarrhea were included. The duration of the diarrheic episode (DDE) was recorded and the animals were divided into a control group (C) which received Effydral(r) in 2 l of warm water, and a tannin treated group (T) which received Effydral(r) in 2 l of warm water plus 10 g of extract of chestnut tannins powder. A Mann Whitney test was performed to verify differences for the DDE values between the two groups.ResultsThe DDE was significantly higher in group C than in group T (p 0.02) resulting in 10.1 3.2 and 6.6 3.8 days, respectively.ConclusionsPhytotherapic treatments for various diseases have become more common both in human and in veterinary medicine, in order to reduce the presence of antibiotic molecules in the food chain and in the environment. Administration of tannins in calves with diarrhea seemed to shorten the DDE in T by almost 4 days compared to C, suggesting an effective astringent action of chestnut tannins in the calf, as already reported in humans. The use of chestnut tannins in calves could represent an effective, low impact treatment for neonatal diarrhea.
Uso de las Tic para fomentar el aprendizaje significativo del Ingles a traves de canciones
Year: 2019

Esta tesis denominada uso de las TIC para fomentar el aprendizaje significativo del ingles a traves de canciones, es una investigacion accion practica, en la que se realizaron dos ciclos investigativos para determinar, de que manera se puede utilizar la tecnologia para aprender y compartir conocimiento sobre una lengua extranjera, iniciando desde el aula de clase. Igualmente, como trabajar las destrezas linguisticas por medio de una herramienta pedagogica basada en canciones, para motivar y fortalecer los aprendizajes, disminuyendo la tension que se genera cuando se aprende una lengua extranjera. Se llevo a cabo en la institucion educativa Concentracion de Desarrollo Rural, de San Jose del Guaviare Guaviare, con los estudiantes del grado octavo A. fue necesario ahondar sobre las causas que conllevan a la apatia hacia el area del ingles, el rol de los padres de familia y el papel que juega la musica en la vida cotidiana de los estudiantes. Por medio de esta investigacion se pudo concluir que el uso de canciones escogidas, ayuda a los alumnos a mejorar sus habilidades para escuchar y su pronunciacion; tambien pueden ser utiles para ensenar vocabulario y estructuras de oraciones. Ademas, haber utilizado las TIC, en el proceso, me sirvio para crear espacios virtuales reales, lo cual multiplico el aprendizaje y aumento la sensibilidad por la lengua y su cultura. Las TIC, abrieron una puerta hacia el aprendizaje individual y personal, gracias a que los estudiantes continuan haciendo uso de ellas, fuera del contexto educativo, lo que se convierte en auto aprendizaje.
Multi Robot Localization and Mapping Based on Signed Distance Functions
Venue: J. Intell. Robotic Syst.
Year: 2016

This publication describes a 2D Simultaneous Localization and Mapping approach applicable to multiple mobile robots. The presented strategy uses data of 2D LIDAR sensors to build a dynamic representation based on Signed Distance Functions. Novelties of the approach are a joint map built in parallel instead of occasional merging of smaller maps and the limited drift localization which requires no loop closure detection. A multi threaded software architecture performs registration and data integration in parallel allowing for drift reduced pose estimation of multiple robots. Experiments are provided demonstrating the application with single and multiple robot mapping using simulated data, public accessible recorded data, two actual robots operating in a comparably large area as well as a deployment of these units at the Robocup rescue league.
The Calculation on the Temperature Drop of Stations lntersite for Repairing the Buried Hot Waxy Crude Oil Pipeline On line
Year: 2006

When pipeline is being repaired,the temperature drop of stations intersite increases with the coefficient of heat transmission rising.In this paper,the fractionation method is adopted to calculate the temperature drop of stations intersite for repairing the buried hot waxy crude oil pipeline on line.In every element,the final temperature is dibble dabbled by the method of average temperature.In the process of solving the coefficient of heat transmission in the buried element,the dichotomy truncation method is adopted.In the process of solving the coefficient of heat transmission in the excavated element,the combination of the dichotomy method and the dichotomy truncation method is adopted.The computer program is made and case calculation is given.
Specific crime fear linkage: the effect of actual burglary incidents reported to the police on residents' fear of burglary
Year: 2012

In the past four decades, most studies examining fear of crime have focused on the relationship between the overall crime phenomenon and general fear of crime. Wilcox Rountree argued that fear of crime is a multidimensional concept, suggesting that different types of crime/victimization may lead to specific crime fear linkages. This study tested Wilcox Rountree's thesis by examining the association between actual burglaries reported to the police and residents' fear of burglary. Using data from a random telephone survey of 737 respondents living in Houston, Texas, the findings suggest that burglary incidents surrounding each respondent's residence had a significant impact on their expressed fear of burglary, while the numbers of violent and/or disorder incidents were not correlated with burglary specific fear. In addition, the results show that fear of burglary was significantly associated with respondents' race (i.e. African American) home ownership, victimization experience, and satisfaction with police work.
A generation based optimal restart strategy for surrogate assisted social learning particle swarm optimization
Venue: Knowl. Based Syst.
Year: 2019

Evolutionary algorithm provides a powerful tool to the solution of modern complex engineering optimization problems. In general, a great deal of evaluation effort often requires to be made in evolutionary optimization to locate a reasonable optimum. This poses a serious challenge to extend its application to computationally expensive problems. To alleviate this difficulty, surrogate assisted evolutionary algorithms (SAEAs) have drawn great attention over the past decades. However, in order to ensure the performance of SAEAs, the use of appropriate model management is indispensable. This paper proposes a generation based optimal restart strategy for a surrogate assisted social learning particle swarm optimization (SL PSO) In the proposed method, the SL PSO restarts every few generations in the global radial basis function model landscape, and the best sample points archived in the database are employed to reinitialize the swarm at each restart. Promising individual with the best estimated fitness value is chosen for exact evaluation before each restart of the SL PSO. The proposed method skillfully integrates the restart strategy, generation based and individual based model managements into a whole, whilst those three ingredients coordinate with each other, thus offering a powerful optimizer for the computationally expensive problems. To assess the performance of the proposed method, comprehensive experiments are conducted on a benchmark test suit of dimensions ranging from 10 to 100. Experimental results demonstrate that the proposed method shows superior performance in comparison with four state of the art algorithms in a majority of benchmarks when only a limited computational budget is available.
NLO QCD and electroweak corrections to WWW production at the LHC
Year: 2017

In this paper we calculate the next to leading order (NLO) QCD \cal O}\alpha_s \alpha^3) and electroweak (EW) \cal O}\alpha^4) corrections to the $WWW$ production at the LHC and deal with the subsequent leptonic decays from $W$ bosons by adopting an improved narrow width approximation which takes into account the spin correlation and finite width effects. The NLO QCD correction from the real jet radiation is discussed, which significantly enhances the production rate, particularly in the high energy region. We also provide the integrated cross section for the $WWW$ production and various kinematic distributions of final products at the QCD+EW NLO. We find that the convergence of the perturbative QCD description can be improved by applying a hard jet veto in the event selection, but this jet veto would introduce a new source of theoretical uncertainty. The pure NLO QCD relative correction to the integrated cross section for the $W^+W^ W^ production at the $14~\rm TeV} LHC is on the order of $30\ in the jet veto event selection scheme with $p^ \rm cut}}_{T, \rm jet} 50~\rm GeV} while the genuine NLO EW relative correction can reach about $15\ in the inclusive event selection scheme. Our numerical results show that both the NLO QCD and NLO EW corrections should be taken into consideration in precision predictions.
Deep Face Recognition: A Survey
Venue: 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
Year: 2018

Face recognition made tremendous leaps in the last five years with a myriad of systems proposing novel techniques substantially backed by deep convolutional neural networks (DCNN) Although face recognition performance sky rocketed using deep learning in classic datasets like LFW, leading to the belief that this technique reached human performance, it still remains an open problem in unconstrained environments as demonstrated by the newly released IJB datasets. This survey aims to summarize the main advances in deep face recognition and, more in general, in learning face representations for verification and identification. The survey provides a clear, structured presentation of the principal, state of the art (SOTA) face recognition techniques appearing within the past five years in top computer vision venues. The survey is broken down into multiple parts that follow a standard face recognition pipeline: (a) how SOTA systems are trained and which public data sets have they used; (b) face preprocessing part (detection, alignment, etc. (c) architecture and loss functions used for transfer learning (d) face recognition for verification and identification. The survey concludes with an overview of the SOTA results at a glance along with some open issues currently overlooked by the community.
Time Synchronization Free Localization in Large Scale Underwater Acoustic Sensor Networks
Venue: 2009 29th IEEE International Conference on Distributed Computing Systems Workshops
Year: 2009

We introduce and study the localization problem in large scale underwater acoustic sensor networks. Considering that depth information is typically available for underwater sensors, we transform the 3D underwater positioning problem into its two dimensional counterpart via a projection technique. We then introduce a localization scheme specifically designed for large scale acoustic underwater sensor networks. The proposed localization scheme does not require time synchronization in the network. This scheme relies on time differences of arrival (TDoA) measured locally at a sensor to detect range differences from the sensor to three anchors that can mutually hear each other. We consider variations in the speed of sound and analyze the performance of the proposed scheme in terms of the number of localized nodes, location errors, and the number of reference nodes.
The Role of Culture on Food Choices: A Case Study of Hospitality Clientele in Independent Commercial Catering Outlets
Year: 2017

Food and culture are two different worlds that go very well together. When one grows up in a distinctive culture, it's bound to influence his/her lifestyle, including adopted traditions, taboos, rituals, belief system and perhaps most enjoyable, his/her food choice (Lamb 2015) This means cultural factors remain fundamental in our daily food choice and consumption across the world, and thus it is true to say that hospitality clientele's food choice has been, and will remain to be as a result of the cultural determinants. Nonetheless, Lillicrap Cousins (2010) confirms that modern day food choices are as a result of a number of factors, including culture, and thus food choice diversity.
Enhanced luminescence in rare earth free fast sintering glass ceramic
Venue: Optica
Year: 2019

One of the major challenges pursued in the luminescent materials community is to develop rare earth free phosphors in order to reduce the use of rare earth elements, because of the lack of their availability and the environmental problems derived from their mining and processing. In this work, a rare earth free glass ceramic based phosphor with high photoluminescence has been designed. This novel phosphor rich in Na rich plagioclase feldspar crystallizations presents high crystallinity, ~94% and a dual micro nanostructure provided by a fast sintering processing route. Structural disorder in Si Al distribution favors formation of luminescent centers in the glass ceramic material, which results in an enhancement of both the UV blue and the red luminescence regarding natural feldspars, 1 order of magnitude and 6 times, respectively. A microstructural and structural study by means of x ray diffraction, Raman spectroscopy, scanning electron microscopy, transmission electron microscopy (TEM) high resolution TEM, cathodoluminescence, and nuclear magnetic resonance evidence the important role of composition in the alteration of Si Al ordering schemes. A strong correlation between Si Al disorder and the presence of active luminescent centers is corroborated. Our research shows a sustainable, cost effective, innovative, and scalable material that may be considered as an alternative to rare earth phosphors for applications such as security markers or light emitting glasses. This novel family of rare earth free glass ceramics opens a new gate through structural tailoring to enhance and tune the intrinsic luminescent emissions displayed for relevant future optical applications.
Latent Discriminant Analysis with Representative Feature Discovery
Venue: AAAI
Year: 2017

Linear Discriminant Analysis (LDA) is a well known method for dimension reduction and classification with focus on discriminative feature selection. However, how to discover discriminative as well as representative features in LDA model has not been explored. In this paper, we propose a latent Fisher discriminant model with representative feature discovery in an semi supervised manner. Specifically, our model leverages advantages of both discriminative and generative models by generalizing LDA with data driven prior over the latent variables. Thus, our method combines multi class, latent variables and dimension reduction in an unified Bayesian framework. We test our method on MUSK and Corel datasets and yield competitive results compared to baselines. We also demonstrate its capacity on the challenging TRECVID MED11 dataset for semantic keyframe extraction and conduct a human factors ranking based experimental evaluation, which clearly demonstrates our proposed method consistently extracts more semantically meaningful keyframes than chal
Designing, writing up and reviewing case study research: an equifinality perspective
Year: 2019

Several researchers struggle with designing, writing up and reviewing case study research, but constructing a template for describing and justifying methodological choices is in contrast with quantitative research undesirable due to the creative nature of qualitative research. Therefore, the purpose of this paper is to provide insight into the multitude of paths to rigorous case study research and promote rigorous case study research in the service community.,Based upon a review of seminal articles and textbooks, different paths to rigorous case study research are identified. Subsequently, these paths are compared with existing practices in case studies in service research published between March 2017 and April 2019.,Seminal articles and textbooks detail different paths to achieve rigor with regard to research purpose, design, data, analyses and write up. Overall, the most popular paths in the service community are those proposed by Eisenhardt and Yin. Meanwhile, service researchers increasingly challenge the dichotomy between the inductive and deductive logic by choosing an abductive logic. Transparency and reflexivity are the main points of attention among service researchers doing case study research.,By providing insight into the multitude of paths to rigorous case study research along with their popularity in the service community, this paper helps service researchers to balance rigor and creativity when engaging in case study research. Additionally, this paper offers a framework for reviewing case study research in terms of rigor and creativity.
Rethinking the NAIHS Model for NEC
Year: 2008

Advances in network technologies enable distributed systems, operating in complex environments to coordinate their activities over larger areas within shorter time intervals. Recently a model for such systems called the NAIHS model has been proposed, where NAIHS stands for Networked Adaptive Interactive Hybrid (human and artificial) System. The NAIHS model identifies information, temporal and physical abstractions to structure the system functions that act as agents. In this paper we investigate how this model relates to other models that try to structure such systems like the JDL model that focuses on sensor fusion, the model of Endsley on human situation awareness, the approach of Rasmussen that focuses on (physical) structure and the approach of Brooks that advocates a temporal hierarchy of sensor actuator layers. We then investigate the applicability of this NAIHS model for NEC. In the domain of NEC a number of maturity levels have been identified. Particularly at the higher maturity levels, next to the humans, the artificial part of the system will also behave in a more intelligent manner. From this perspective it seems natural to model the future NEC systems as a (complex adaptive) multi (human and artificial) agent system where the agents have the intention to cooperate as good as possible while they adapt themselves to a dynamic environment. The applicability of the NAIHS model to NEC is first considered from a functional perspective, i.e. how do the functional components identified in the NAIHS model relate to the NEC domain. Then we consider, for the higher NEC maturity levels, the interaction mechanisms between the agents
Study of the influence of surfactants on the activity coefficients and mass transfer coefficients of methanol in aqueous mixtures by reversed flow gas chromatography.
Venue: Journal of chromatography. A
Year: 2017

This work focuses on the influences of surfactants on the activity coefficients, g, of methanol in binary mixtures with water, as well as on the mass transfer coefficients, kc, for the evaporation of methanol, which is a ubiquitous component in the troposphere, from mixtures of methanol with water at various surfactant's and methanol's concentrations. The technique used is the Reversed Flow Gas Chromatography (R.F.G.C. a version of Inverse Gas Chromatography, which allows determining both parameters by performing only one experiment for the kc parameter and two experiments for the g parameter. The kc and g values decrease in the presence of the three surfactants used (CTAB, SDS, TRITON X 100) at all methanol's and surfactant's concentrations. The decrease in the methanol's molar fraction, at constant number of surfactant films leads to a decrease in the kc and g values, while the decrease in the surfactant's concentration, at constant methanol's molar fraction leads to an increase in both the kc and g parameters. Mass transfer coefficients for the evaporation of methanol at the surfactant films, are also calculated which are approximately between 4 and 5 orders of magnitude larger than the corresponding mass transfer coefficients at the liquid films. Finally, thicknesses of the boundary layer of methanol in the mixtures of methanol with water were determined. The quantities found are compared with those given in the literature or calculated theoretically using various empirical equations. The precision of the R.F.G.C. method for measuring g and kc parameters is approximately high (94.3 98.0% showing that R.F.G.C. can be used with success not only for the thermodynamic study of solutions, but also for the interphase transport.
A 203 FPS VLSI Architecture of Improved Dense Trajectories for Real Time Human Action Recognition
Venue: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2018

This paper introduces architecture with high throughput, low on chip memory, and efficient data access for Improved Dense Trajectories (iDT) as video representations for realtime action recognition. The iDT feature can capture longterm motion cues better than any existing deep feature, which makes it crucial in state of the art action recognition systems. There are three major features in our architecture design, including a low bandwidth frame wise feature extraction, low on chip memory architecture for point tracking, and two stage trajectory pruning architecture for low bandwidth. Using TSMC 40nm technology, our chip area is 3.1 mm2, and the size of on chip memory is 40.8 kB. The chip can support videos in resolution of 320x240 with a throughput of 203 fps under 215 MHz, which is a 81.2 times speedup compared with CPU. Under the same operating frequency, it can also provide feature extraction for six windows of size 320 x 240 in higher resolution videos with a throughput of 34 fps.
Nietzsche's Naturalism and Nineteenth Century Biology
Year: 2017

Christian Emden's recent book sheds fascinating light on Nietzsche's readings in the nineteenth century life sciences and his relationship to Darwinism, though it is less successful in showing how particular readings influenced Nietzsche's claims. Emden largely follows my distinction between substantive and methodological naturalism in Nietzsche, but argues unpersuasively, I argue that the latter must collapse into the former, and that the latter requires "uniform" scientific methods, though I explicitly deny that and no plausible form of naturalism requires it. I also discuss Emden's treatment of the Kant Nietzsche relationship, and raise doubts about whether what Emden sometimes calls "the problem of normativity" is really a Nietzschean problem.