nils-herrmann/clean_scirepeval huggingface dataset:
Design Features of a Professional Development Program in Digital Literacy.
Year: 2019

We had been together for five years before we decided to celebrate. Instead of celebrating with a party, we wrote this article to reflect on, wonder about, and consider what we have built together with the help of many willing hands, including 25 faculty colleagues from around the country and around the world. Every summer since 2013, we have worked with K 12 educators, youth media professionals, school leaders, college faculty, and librarians who share our interests in the intersection of education, information, communication, and media studies. Through designing, implementing, and assessing a professional development (PD) program, we have conceptualized digital literacy in relation to the needs of experienced adult learners whose motives for wanting to incorporate digital texts, tools, and technologies into the curriculum vary widely. Our collaborative work in digital literacy is thus located in pragmatic action focused on PD. Over time and as a result of sustained exposure to the many more than 500 adult learners who have participated in an intensive PD program at the University of Rhode Island's Summer Institute in Digital Literacy (SIDL) we have collaboratively built a joint understanding of digital literacy education. In developing the program, we have taken time to consider the interplay among elementary, secondary, higher education, and informal learning contexts, and our approach spans the disciplines of both literacy education and communication/media studies. A little context may be useful here: The first SIDL was held in July 2013, and the program has run annually since then. As a weeklong, 42hour PD program, the SIDL has enrolled participants from 25 states and 15 countries. Each year, 60 to 120 people have enrolled in the program. It was one of three PD programs showcased in the U.S. Department of Education's (2016) National Educational Technology Plan. The program has included keynote lectures from authors, educators, and activists such as Douglas Rushkoff, Howard Rheingold, Joyce Valenza, Christopher Lehman, Dan Gillmor, and Nuala and Len Cabral. During the week, participants select from among 40 workshops in which they can experiment with digital platforms, tools, and texts and learn about research and program development in digital literacy. Each afternoon, participants collaborate with a partner to develop a Design Studio project that is relevant to their needs, showcasing this work to their peers at the end of the week. A variety of facetoface and online learning activities encourage collaboration and metacognitive reflection on one's identity as an educator, learner, team member, and leader. In the summer and extending all year, the learning community shares ideas and
Asymmetrical bidirectional optical wireless communication system based on a transmissive 1D LC SLM for NG PON2.
Venue: Optics letters
Year: 2020

An asymmetric bidirectional optical wireless communication (B OWC) system using optical fibers as the transmitter and receiver and capable of wavelength switching is proposed for next generation passive optical network stage two (NG PON2) extension to home area network (HAN) without optical/electrical (O/E) and electrical/optical (E/O) conversions, which is based on a transmissive "floating" pixel size one dimensional (1D) liquid crystal spatial light modulator (LC SLM) at the access node (AN) and a modulated retroreflector (MRR) at the terminal user (TU) The utilization of a reflective grating element and a low cost LC SLM in the AN offers a high flexibility of beam steering and wavelength selection in the scenario of B OWC. Instead of a light source used at conventional TU, a MRR was employed at a TU in order to improve the problems of the power consumptions, alignment difficulties, wavelength contentions, and cost of the TUs. Downlink and uplink data transmissions at a link speed over 2.5 Gbits/s, using wavelengths between 1590~1603nm and 1524~1544nm, respectively, corresponding to the downlink and uplink wavelengths specified by the NG PON2 standard, have been experimentally demonstrated successfully, with quality factors (Q factors) beyond the forward error correction limit (Q factor=16.9dB, bit error rate=10 12)
Material Requirements for Power and High Temperature Multilayer Ceramic Capacitors (MLCC)
Year: 2015

Recent trends and progresses in power electronics rely on fast, miniaturized, high current and high temperature switching semiconductors. However, in electronics system design, passive components technologies, in particular capacitors, limit their full exploitation. The goal of the present paper is, firstly, to analyse the capacitor technologies, in particular ceramic technologies for the limits set by high current, high voltages, high temperatures, high frequencies, and by cost items. Secondly, for each of the identified limits, to define the tools and technologies that are capable to overcome it. The new technologies include a new PLZT based antiferroelectric ceramic material with high switching field, copper inner electrode for the multilayer construction, firing in reducing atmosphere, applying a sputter method for the outer connecting electrode combined with silver sintering of a flexible termination or of a pressfit connector. The third goal is to show how the new technologies are applied such that
Public Health Significance of Foodborne Helminthiasis: A Systematic Review
Year: 2018

Foodborne diseases, caused by biological as well as chemical agents, have an impact in both developing and developed nations. The foodborne diseases of microbial origin are acute where as those caused by chemical toxicants are resulted due to chronic exposure. Amongst various microbial agents of foodborne diseases, parasitic infections have been recently identified as an important public health problems having considerable economic impact in terms of morbidity, loss of productivity, and health care costs. The risk factors for acquiring foodborne helminthic infections are overcrowding, unhygienic living conditions, scarcity of water, contaminated food and water, under nutrition and other poverty related factors. According to the World Health Organization, there are 32 important foodborne pathogens, of which 10 are helminthes. Several foodborne and waterborne helminthic diseases such as echinococcosis, fascioliasis, taeniasis, cysticercosis, diphyllobothriosis, capillariasis, and ascariasis have shown increased trend in the last decades. Majority of the mentioned parasites have no successful detection and controlling mechanisms. Immunization of food animals against foodborne parasites in certain conditions is very limited because there is generally a lack of vaccines for foodborne parasites. Mass chemotherapy has been found most suitable approach to reduce the impact of helminthic diseases. In addition, education of consumers, food handlers and food producers with respect to personal hygiene is an essential component of food safety. Further, there is a need to strengthen veterinary services in order to reduce the occurrence of such diseases in livestock population. Emphasis should be given to undertake further studies on the diagnostic techniques and epidemiology of foodborne helminthic diseases.
Generation of non diffractive Bessel beams by inward cylindrical traveling wave aperture distributions.
Venue: Optics express
Year: 2014

The focusing capabilities of an inward cylindrical traveling wave aperture distribution and the non diffractive behaviour of its radiated field are analyzed. The wave dynamics of the infinite aperture radiated field is clearly unveiled by means of closed form expressions, based on incomplete Hankel functions, and their ray interpretation. The non diffractive behaviour is also confirmed for finite apertures up to a defined limited range. A radial waveguide made by metallic gratings over a ground plane and fed by a coaxial feed is used to validate numerically the analytical results. The proposed system and accurate analysis of non diffractive Bessel beams launched by inward waves opens new opportunities for planar, low profile beam generators at microwaves, Terahertz and optics.
Climate change and human lakeside adaptation in the Central Afar Region (Lake Abhe basin, Ethiopia Djibouti) during the Later Stone Age Neolithic transition: a multi scalar and multi proxy approach
Year: 2020

Climate change and human lakeside adaptation in the Central Afar Region (Lake Abhe basin, Ethiopia Djibouti) during the Later Stone Age Neolithic transition: a multi scalar and multi proxy approach Carlo Mologni1,2, Lamya Khalidi2, Marie Revel1, Laurent Bruxelles3,4, Jessie Cauliez3, Fabien Arnaud 5 Emmanuel Malet 5 Eric Chaumillon 6 Thibault Colombier 6 Gourguen Davtian 2 Laure Schenini 1 Clement Menard 7 and Isabelle Crevecoeur 8
Additivity of colour harmony
Year: 2011

An additive approach to predict harmony for three colour combinations is proposed in this article. It is hypothesised that a three colour combination can be seen as a combination of three colour pairs, each generating a harmonious/disharmonious feeling that can be quantified by a two colour harmony model the authors previously derived; the average of these three harmony values can then determine the overall harmony. To establish whether this hypothesis was valid, two psychophysical experiments were conducted in the United Kingdom and the United States. Experiment 1 used 6545 three colour wheels as the stimuli, presented individually on a calibrated cathode ray tube display. Under the same viewing conditions, Experiment 2 used 111 interior images as the stimuli. In each experiment, 20 British and 31 American participated as the observers. An additional test was undertaken, with 64 observers taking part, to address the issue of large sample size as encountered in Experiment 1, using 90 colour wheels selected randomly from those used in Experiment 1. The experimental results show close agreement between the observers' response and the harmony value predicted by the proposed method, with a correlation coefficient of 0.71 for the 6545 colour wheels, 0.93 for the 111 interior images and 0.88 for the additional 90 colour wheels. The results support the additive approach as a simple but robust method for predicting harmony in any three colour combinations, which may also apply to combinations generated by any number of colours.
Optimization of Digital Transfer Textile Printing Process using Multi Objective Function Analysis
Year: 2017

Digital textile printing (DTP) is widely used because it is more efficient and simpler than conventional textile printing methods. Digital transfer textile printing (DTTP) is one of the most efficient and simplest DTP methods. In this study, the optimum process conditions for DTTP have been investigated, to minimize the distortion of printed images and maximize the color reproducibility. First, a novel measurement method for fabric shrinkage and image distortion was developed. Then 9 characteristic values were defined and a series of experiments were designed and performed using the Taguchi method. Finally, two different multiple characteristic value analyses were performed on the results. In one method, 9 characteristic values were converted into a single value. In the other method, the characteristic values were divided into 3 groups for analysis. Finally, results from the two methods were compared to determine which method was more suitable.
The role of embodied cognition for transforming learning
Year: 2019

Cognitive psychology has undergone a paradigm shift in the ways we understand how knowledge is acquired and represented within the brain, yet the implications for how this impacts students' learning of material across disciplines has yet to be fully applied. In this article, we present an integrative review of embodied cognition, and demonstrate how it differs from previously held theories of knowledge that still influence the ways in which many subjects are taught in the classroom. In doing so, we review the literature of embodied learning in the areas of reading instruction, writing, physics, and math. In addition, we discuss how these studies can lead to the development of new learning strategies that utilized the principles of embodied cognition.
Implementation of a self adaptive real time recommendation system using spark machine learning libraries
Venue: 2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES)
Year: 2017

Real time recommendation systems have become an essential component of e commerce web applications. With increasing volume and velocity of data handled by these applications, known as the bigdata problem, traditional recommendation systems that analyze data and update models at regular time intervals would not be able to satisfy this requirement. With the evolution of technologies for processing bigdata in real time, it has become fairly easy to implement real time recommendation systems. Stream computing is a new computing paradigm for handling the velocity attribute of bigdata which makes it possible to develop real time bigdata applications. This paper gives the details of implementation of a real time recommendation system using Apache Spark, a widely used platform for stream computing. This system is implemented for recommending TV channels to viewers in real time. This becomes a challenging task due to continuous changes in the set of available channels and the context dependent preference of viewers. In channel recommendation scenario, characterized by its dynamic nature, volume of data, and tight time constraints, traditional approaches cannot be used. We have implemented a highly scalable TV channel recommendation system optimized for the processing of real time data streams originating from set top boxes. The proposed system implements a self adaptive approach for model building. The system effectively uses distributed processing power of Apache Spark to make recommendations in real time with scalability to meet the real time constraints with increasing load. The Spark Machine Learning Libraries (Spark MLLib) provide several algorithms which were used for developing the proposed recommendation system. The large amount of data in the system is efficiently managed by the data processing method of Lambda Architecture.
Learning to compare image patches via convolutional neural networks
Venue: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2015

In this paper we show how to learn directly from image data (i.e. without resorting to manually designed features) a general similarity function for comparing image patches, which is a task of fundamental importance for many computer vision problems. To encode such a function, we opt for a CNN based model that is trained to account for a wide variety of changes in image appearance. To that end, we explore and study multiple neural network architectures, which are specifically adapted to this task. We show that such an approach can significantly outperform the state of the art on several problems and benchmark datasets.
Weight 1 for level N=20
Year: 2011

From Sect. 21.1 we know that for primes p>=7 there are 9 new holomorphic eta products of weight 1 for G*(4p) and another 60 such eta products for G0(4p) Table 24.1 shows that the corresponding numbers of eta products are slightly larger for level N=45=20 and considerably larger for level N=43=12. In the present section we are going to discuss theta series identities for the eta products of weight 1 and level 20.
Dispositif tendeur pour une voile solaire pouvant etre deroulee d'un arbre d'enroulement
Year: 2009

L'invention concerne un dispositif tendeur pour une voile solaire (1) pouvant etre deroulee a partir d'un arbre d'enroulement (3) dispositif comportant un cable de traction (10) agissant sur les coins (4, 5) de la voile, qui peuvent etre tires a partir de l'arbre d'enroulement (3) dans la direction opposee, cable formant une boucle autour de deux galets de renvoi (8, 9) associes chacun a l'un des deux coins de la voile (4, 5) galets dont l'un est fixe en position, et l'autre est haubane a un cable tendeur (11) d'une maniere approximativement perpendiculaire a l'arbre d'enroulement (3) Pour creer des conditions d'enroulement avantageuses, il est propose que le brin (14) du cable (10) courant entre les galets de renvoi (8, 9) soit guide sur un galet intermediaire (15) fixe en position, et que le segment (17) du brin (14) entre le galet intermediaire (15) et le galet de renvoi (8) haubane au cable (11) courre dans un plan au moins approximativement perpendiculaire a l'arbre d'enroulement (3) la distance entre le galet de renvoi (8) haubane au cable (11) et le galet intermediaire (15) quand la voile solaire (1) est entierement ouverte, correspondant au moins a la longueur, apres extension, du coin (4) de la voile sur le cote du cable (11)
Dinamicas de grupo, agrupamientos y trabajo cooperativo
Year: 2014

El objetivo principal de este trabajo es intentar aclarar las diferencias entre dinamicas de grupo, agrupamientos y trabajo cooperativo, asi como destacar su utilidad en el aula. El profesor en ocasiones se enfrenta a grupos de clase que, aun sin existir conflictos entre ellos, no terminan de conectar. En relacion con esto Stevick (1980, en Arnold, 2006) afirma que "en la clase, el exito depende menos de los materiales, las tecnicas y el analisis linguistico y mas de lo que ocurre entre las personas y en su interior" Dinamicas de grupo, agrupamientos y trabajo cooperativo son herramientas que pueden ser usadas para la creacion de grupos cohesionados de trabajo y, consecuentemente, de entornos adecuados para el aprendizaje de la lengua. Es por ello que consideramos conveniente distinguir la naturaleza de estas tecnicas para alcanzar de una manera eficaz los objetivos que como grupo se establezcan.
Domain Adaptation for Statistical Classifiers
Venue: J. Artif. Intell. Res.
Year: 2006

The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applications, the "in domain" test data is drawn from a distribution that is related, but not identical, to the "out of domain" distribution of the training data. We consider the common case in which labeled out of domain data is plentiful, but labeled in domain data is scarce. We introduce a statistical formulation of this problem in terms of a simple mixture model and present an instantiation of this framework to maximum entropy classifiers and their linear chain counterparts. We present efficient inference algorithms for this special case based on the technique of conditional expectation maximization. Our experimental results show that our approach leads to improved performance on three real world tasks on four different data sets from the natural language processing domain.
Non Performing Loans for Italian Companies: When Time Matters. An Empirical Research on Estimating Probability to Default and Loss Given Default
Year: 2020

Within bank activities, which is normally defined as the joint exercise of savings collection and credit supply, risk taking is natural, as in many human activities. Among risks related to credit intermediation, credit risk assumes particular importance. It is most simply defined as the potential that a bank borrower or counterparty fails to fulfil correctly at maturity the pecuniary obligations assumed as principal and interest. Whenever this happens, a loan is non performing. Among the main risk components, the Probability of Default (PD) and the Loss Given Default (LGD) have been the subject of greater interest for research. In this paper, logit model is used to predict both components. Financial ratios are used to estimate the PD. Time of recovery and presence of collateral are used as covariates of the LGD. Here, we confirm that the main driver of economic losses is the bureaucratically encumbered recovery system and the related legal environment. The long time required by Italian bureaucratic procedures, simply put, seems to lower dramatically the chance of recovery from defaulting counterparties.
Post combustion carbon capture by membrane separation, Review
Year: 2020

The human induced increase in average global temperature since pre industrial times (1850 1900 average) has already reached 1.0 degC in 2017 so there is a strong call for effective carbon capture and storage/utilization technology especially in the energy sector where the CO2 emissions are the largest. Membrane technologies are often declared to be a good option. This work tries to find how the commercially available modules are doing from the economical and practical point of view and if there are some new membrane materials which could be feasible and practically applicable in the power plat post combustion CO2 separation. The main conclusion is that membrane technology is potentially suitable for fuel gas purification in the future but there are still some issues to be solved such as for example membrane resistance for humid feed stream, fouling and long term stability of thin selective layer.
Explaining the Technology Use Behavior of Privacy Enhancing Technologies: The Case of Tor and JonDonym
Venue: Proc. Priv. Enhancing Technol.
Year: 2020

Today's environment of data driven business models relies heavily on collecting as much personal data as possible. Besides being protected by governmental regulation, internet users can also try to protect their privacy on an individual basis. One of the most famous ways to accomplish this, is to use privacy enhancing technologies (PETs) However, the number of users is particularly important for the anonymity set of the service. The more users use the service, the more difficult it will be to trace an individual user. There is a lot of research determining the technical properties of PETs like Tor or JonDonym, but the use behavior of the users is rarely considered, although it is a decisive factor for the acceptance of a PET. Therefore, it is an important driver for increasing the user base. We undertake a first step towards understanding the use behavior of PETs employing a mixed method approach. We conducted an online survey with 265 users of the anonymity services Tor and JonDonym (124 users of Tor and 141 users of JonDonym) We use the technology acceptance model as a theoretical starting point and extend it with the constructs perceived anonymity and trust in the service in order to take account for the specific nature of PETs. Our model explains almost half of the variance of the behavioral intention to use the two PETs. The results indicate that both newly added variables are highly relevant factors in the path model. We augment these insights with a qualitative analysis of answers to open questions about the users' concerns, the circumstances under which they would pay money and choose a paid premium tariff (only for JonDonym) features they would like to have and why they would or would not recommend Tor/JonDonym. Thereby, we provide additional insights about the users' attitudes and perceptions of the services and propose new use factors not covered by our model for future research.