nils-herrmann/clean_scirepeval huggingface dataset:
From childhood to senior professional football: elite youth players' engagement in non football activities
Venue: Journal of sports sciences
Year: 2014

Despite the large amount of research available on how engagement in football practice relates to future performance level among football players, similar information about the contribution of non football activities is scarce. Based on data from 745 elite youth players this study aimed to identify the characteristics and contribution of diverse participation towards elite youth and senior professional status. The data were collected using a retrospective questionnaire where the players reported the amount of time spent in other sports than football, in addition to their perceived contribution of different non football activities for developing football skills. The accumulated hours of time spent in other sports of players who had obtained a senior professional contract were compared to non professional players, using multilevel modelling (n 558) while a t test compared the activity ratings to each other. No significant differences were identified between professional and non professional players' engagement history, but overall, the players rated sports similar to football to be significantly more relevant for developing football skills than other sports. The results suggests that spending time in non football activities did not contribute to present differences in performance attainment in football, but also that potential advantages of such activities may be related to their characteristics.
Unpacking Young People's National Identities
Year: 2018

The article examines the intricacies implicated in the narration of young people's national identities by shedding light on intersecting allegiances and on the role that perceived 'others' play in their accounts of nationhood. Based upon a qualitative study of youth narratives of identity in the context of Greek society, the article unpacks how participants make sense and narrate their nationhood via utilizing discursive resources, whilst dialogically conversing with the gaze of 'other' The narrative discursive analysis of the in depth interview material illustrates the interweavement of ethnicity with religion, along with the use of historical imagery and cultural signals of alleged similarity and difference. What becomes evident is the salience of ethno cultural and religious identifications, operating as potent resources for self making but also as vehicles for categorization and the potential exclusion of 'others' The article concludes by underlining the importance of empirically substantiating and theorizing the configurations of young people's collective identities.
Sudden death in heart failure with preserved ejection fraction and beyond: an elusive target
Venue: Heart Failure Reviews
Year: 2019

Heart failure (HF) with preserved ejection fraction (HFpEF) represents half of HF patients, who are more likely older, women, and hypertensive. Mortality rates in HFpEF are higher compared with age and comorbidity matched non HF controls and lower than in HF with reduced ejection fraction (HFrEF) the majority (50 70% are cardiovascular (CV) deaths. Among CV deaths, sudden death (SD) 35% and HF death 20% are the leading cardiac modes of death; however, proportionally, CV deaths, SD, and HF deaths are lower in HFpEF, while non CV deaths constitute a higher proportion of deaths in HFpEF (30 40% than in HFrEF 15% Importantly, the underlying mechanism of SD has not been clearly elucidated and non arrhythmic SD may be more prominent in HFpEF than in HFrEF. Furthermore, there is no specific strategy for identifying high risk patients, probably due to wide heterogeneity in presentation and pathophysiology of HFpEF and a plethora of comorbidities in this population. Thus, the management of HFpEF remains problematic due to paucity of data on the clinical benefits of current therapies, which focus on symptom relief and reduction of HF hospitalization by controlling fluid retention and managing risk factors and comorbidities. Matching a specific pathophysiology or mode of death with available and novel therapies may improve outcomes in HFpEF. However, this still remains an elusive target, as we need more information on determinants of SD. Implantable cardioverter defibrillators (ICDs) have changed the landscape of SD prevention in HFrEF; if ICDs are to be applied to HFpEF, there must be a coordinated effort to identify and select high risk patients.
An overview of Google AdSense as a New Business Opportunity for Indian Entrepreneurs
Year: 2013

Google AdSense is owned by Google Inc. It is a free and simple program that facilitates website or blog owners to generate revenue by displaying targeted Google ads on their websites or blogs. Advertisers are individuals or organisations who pay Google for advertizing with Google AdSense. Publishers are bloggers or website owners and Google allows them to show various ads on behalf of advertisers. Based on the content of the blogs or websites and audience, Google AdSense automatically sends targeted text, image, video, and rich media based advertisements on these websites or blogs. Publishers can generate revenue based on the number of times audiences of their websites click the ads. If any entrepreneur has its website or blog, it provides an excellent opportunity for them to generate revenue using Google AdSense. This topic will cover the basics of the Google AdSense and how online entrepreneurs in India can capitalize on this new business opportunity.
Development of non dairy creamer analogs/mimics for an alternative of infant formula using egg white, yolk, and soy proteins
Venue: Asian Australasian journal of animal sciences
Year: 2019

A study was conducted to develop non dairy creamer analogs/mimics using egg white, egg yolk, soy protein and their combinations, and their nutrient content, shelf life and flavor acceptability were compared.  Spray dried egg white, egg yolk, and soy protein isolate were purchased from manufacturers and used for the formulae.  The protein contents of the non dairy creamer analogs/mimics were about 8.5% as calculated. The amounts of oleic and linoleic acid content increased as the amount of yolk increased in the formula, but the increases of polyunsaturated fatty acids were <0.5% of total fat. Addition of egg yolk to the formula increased choline and lutein content in the products, but the amounts were <0.4 mg/g for choline and 4 mg/g for lutein. The lutein in the products continued to decrease over the storage time, and only about 15% to 20% of the 0 month amounts were left after 3 months of storage. Although the thiobarbituric acid reactive substances values of the spray dried non dairy creamer analogs/mimics increased as storage time increased, the values were still low. Yellowness, darkness, and egg flavor/odor of the non dairy creamer analogs/mimics increased as the amount of egg yolk in the formula increased. The overall acceptability of the non dairy creamer analogs/mimics was closely related to the intensity of egg flavor/odor, but storage improved their overall acceptance because most of the off odor volatiles disappeared during the storage. Water temperature was the most important parameter in dissolving spray dried non dairy creamer analogs/mimics, and 55degC to 75degC was the optimal water temperature conditions to dissolve them.  Higher amounts of yolk and soy protein combinations in place of egg white reduced the cost of the products significantly and those products contained better and balanced nutrients than the commercial coffee creamers. However, off flavor and solubility were two important issues in the products.
Synthese bibliographique portant sur le diagnostic des shunts portosystemiques par l'imagerie chez les carnivores domestiques
Year: 2018

Les shunts portosystemiques sont des anomalies vasculaires frequentes chez les carnivores domestiques. Cliniquement, les animaux presentent principalement des troubles gastro intestinaux et urinaires peu specifiques. De meme, les examens biochimiques, urinaires et hematologiques mettent en evidence des anomalies peu specifiques qui peuvent orienter le clinicien vers une anomalie d'origine hepatique. L'imagerie tient donc une place centrale dans le diagnostic des shunts portosystemiques. Les differentes methodes disponibles peuvent conduire a un diagnostic de certitude mais constituent egalement un outil precieux dans la planification d'une eventuelle prise en charge chirurgicale. Apres un rappel sur l'anatomie et l'embryologie vasculaire du foie, les differentes methodes d'imagerie sont etudiees. Les grands principes ainsi que la mise en pratique des examens de radiographie, d'angiographie, d'echographie, de scintigraphie, de scanner et d'IRM sont expliques. Pour chaque methode, les images normales sont comparees aux images obtenues lors de shunt portosystemique. Enfin, les avantages et les inconvenients de chacune des techniques sont soulignes.
Multi Material 3D and 4D Printing: A Survey
Venue: Advanced science
Year: 2020

Recent advances in multi material 3D and 4D printing (time as the fourth dimension) show that the technology has the potential to extend the design space beyond complex geometries. The potential of these additive manufacturing (AM) technologies allows for functional inclusion in a low cost single step manufacturing process. Different composite materials and various AM technologies can be used and combined to create customized multi functional objects to suit many needs. In this work, several types of 3D and 4D printing technologies are compared and the advantages and disadvantages of each technology are discussed. The various features and applications of 3D and 4D printing technologies used in the fabrication of multi material objects are reviewed. Finally, new avenues for the development of multi material 3D and 4D printed objects are proposed, which reflect the current deficiencies and future opportunities for inclusion by AM.
Educational Data Mining and Learning Analytics for Improving Online Learning Environments
Year: 2020

The proliferation of educational technology systems has led to the advent of a large number of datasets related to learner interaction. New fields have emerged which aim to use this data to identify interventions that could help the learners become efficient and effective in their learning. However, these systems have to follow user centered design principles to ensure that the system is usable and the data is of high quality. Human factors literature is limited on the topics regarding Educational Data Mining (EDM) and Learning Analytics (LA) To develop improved educational systems, it is important for human factors engineers to be exposed to these data oriented fields. This paper aims to provide a brief introduction to the fields of EDM and LA, discuss data visualization and dashboards that are used to convey results to learners, and finally to identify where human factors can aid other fields.
#Sponsoring the #FrenchOpen: An Examination of Social Media Buzz and Sentiment
Year: 2015

Scholars have frequently examined sponsorship effectiveness via survey instrument; however, no efforts have been made to gauge sponsorship effectiveness via social networking sites. As a medium for consumer activity and interaction, scholars and industry professionals can leverage social media to monitor the effects of sponsorship in real time, as consumers experience a sporting event. In this exploratory study, we employed a mixed methods study design to examine Twitter users' discussion of 2013 French Open sponsors during the tennis tournament. We found a weak positive relationship between sponsor event functional fit and positive sponsor related sentiment, and a weak positive relationship between a sponsor company's social media presence and event related buzz. Through case study analysis, we discovered unintended misrepresentation and activation were apparent drivers of sponsor related social media conversation during the 2013 French Open. As an emerging area for sponsorship research, we provide sugge.
A Deeper Look into Dependency Based Word Embeddings
Venue: NAACL
Year: 2018

We investigate the effect of various dependency based word embeddings on distinguishing between functional and domain similarity, word similarity rankings, and two downstream tasks in English. Variations include word embeddings trained using context windows from Stanford and Universal dependencies at several levels of enhancement (ranging from unlabeled, to Enhanced+ dependencies) Results are compared to basic linear contexts and evaluated on several datasets. We found that embeddings trained with Universal and Stanford dependency contexts excel at different tasks, and that enhanced dependencies often improve performance.
Towards a comprehensive model for understanding adaptations' impact: the model for adaptation design and impact (MADI)
Venue: Implementation Science
Year: 2020

Implementation science is shifting from qualifying adaptations as good or bad towards understanding adaptations and their impact. Existing adaptation classification frameworks are largely descriptive (e.g. who made the adaptation) and geared towards researchers. They do not help practitioners in decision making around adaptations (e.g. is an adaptation likely to have negative impacts? Should it be pursued? Moreover, they lack constructs to consider "ripple effects" of adaptations (i.e. both intended and unintended impacts on outcomes, recognizing that an adaptation designed to have a positive impact on one outcome may have unintended impacts on other outcomes) Finally, they do not specify relationships between adaptations and outcomes, including mediating and moderating relationships. The objective of our research was to promote systematic assessment of intended and unintended impacts of adaptations by using existing frameworks to create a model that proposes relationships among constructs.  We reviewed, consolidated, and refined constructs from two adaptation frameworks and one intervention implementation outcome framework. Using the consolidated and refined constructs, we coded qualitative descriptions of 14 adaptations made to an existing evidence based intervention; the 14 adaptations were designed in prior research by a stakeholder panel using a modified Delphi approach. Each of the 14 adaptations had detailed descriptions, including the nature of the adaptation, who made it, and its goal and reason. Using coded data, we arranged constructs from existing frameworks into a model, the Model for Adaptation Design and Impact (MADI) that identifies adaptation characteristics, their intended and unintended impacts (i.e. ripple effects) and potential mediators and moderators of adaptations' impact on outcomes. We also developed a decision aid and website MADIguide.org to help implementation scientists apply MADI in their work.  Our model and associated decision aids build on existing frameworks by comprehensively characterizing adaptations, proposing how adaptations impact outcomes, and offering practical guidance for designing adaptations. MADI encourages researchers to think about potential causal pathways of adaptations (e.g. mediators and moderators) and adaptations' intended and unintended impacts on outcomes. MADI encourages practitioners to design adaptations in a way that anticipates intended and unintended impacts and leverages best practice from research.
Context aware intrusion detection for building automation systems
Venue: Comput. Secur.
Year: 2019

The Internet of Things (IoT) will connect not only computers and mobile devices, but also smart cities, buildings, and homes, as well as electrical grids, gas, and water networks, automobiles, airplanes, etc. IoT will lead to extensive interconnection between Building Automation Systems (BAS) communication protocols and the Internet. The connection to Internet and public networks increases significantly the risk of the BAS networks being attacked, since there's a significant lack of detection and defensive mechanisms for BAS networks. In this paper, we present a framework for a context aware intrusion detection of a widely deployed Building Automation and Control network. We developed runtime models for service interactions and functionality patterns by modeling the heterogeneous information that is continuously acquired from building assets into a novel BAS context aware data structure. Our IDS performs anomaly based behavior analysis to accurately detect anomalous events triggered by cyber attacks or any functional failure. An attack classification and severity analysis of detected attacks allow our IDS to automatically launch protective countermeasures. We evaluate our approach in the Smart Building testbed developed at the University of Arizona Center for Cloud and Autonomic Computing, by launching several cyber attacks that exploit the generic vulnerabilities of BACnet protocol.
Factors Affecting Venture Funding of Healthcare AI Companies
Venue: ICIMTH
Year: 2019

Venture Capital (VC) funding raised by companies producing Artificial Intelligence (AI) or Machine Learning (ML) solutions is on the rise and a driver of technology development. In healthcare, VC funding is distributed unevenly and certain technologies have attracted significantly more funding than others have. We analyzed a database of 106 Healthcare AI companies collected from open online sources to understand factors affecting the VC funding of AI companies operating in different areas of healthcare. The results suggest that there is a significant connection between higher funding and having research organizations or pharmaceutical companies as the customer of the product or service. In addition, focusing on AI solutions that are applied to direct patient care delivery is associated with lower funding. We discuss the implications of our findings for public health technology funding institutions.
Etude de la synchronisation temporelle dans les systemes MIMO OFDM appliques aux reseaux mobiles
Year: 2014

L'evolution rapide dans les systemes de communications sansfil couplee a l'utilisation de telephones mobiles, des services satellite, de l'internet sur les reseaux sans fil et les reseaux locaux necessitent un debit de donnees tres eleve et une grande fiabilite. Ces debits ont augmente rapidement dans les nouvelles applications de transmission de donnees de nouvelle generation. Pour repondre aux contraintes de la limitation du spectre disponible, les systemes a porteuses multiples (OFDM) permettent une haute efficacite spectrale a cause de l'orthogonalite et un debit total s'approchant du debit de Nyquist. Par ailleurs, un systeme de reseaux des antennes a multi entrees et multi sorties (MIMO) apporte des gains importants, a la fois, pour les liens et les capacites du reseau, sans transmission de puissance supplementaire ou sans consommation de la bande passante. La combinaison de ces deux systemes (MIMO et OFDM) permet d'exploiter la robustesse de la liaison sur des canaux selectifs en frequence et sur des canaux non correles en espace. Une des problematiques de cette combinaison reside dans les methodes de synchronisation. La synchronisation se divise en deux parties, la synchronisation temporelle et la synchronisation frequentielle. La synchronisation temporelle se fait, d'une part par la synchronisation grossiere qui consiste a estimer le debut de chaque trame recue, et d'autre par la synchronisation fine qui detecte le debut de chaque symbole OFDM dans la trame recue. Le principe de la synchronisation frequentielle est de trouver le dephasage entre la frequence a l'emission et la frequence locale du recepteur. Dans une premiere partie, nous avons propose des methodes pour la synchronisation temporelle en se basant sur des sequences de synchronisation connues au niveau du recepteur. Nous avons realise une etude des differentes sequences existantes afin de comparer les efficacites de chacune de ces sequences pour la synchronisation dans un systeme MIMOOFDM. Dans une deuxieme partie, un travail de simulation sous Matlab a ete realise afin d'etudier les performances de nos methodes proposees dans des canaux selectifs en frequence et a trajets multiples. Les resultats de simulations de ces methodes expriment la probabilite d'acquisition de synchronisation temporelle selon le SNR.
104.37 An inequality for the tanradii of a triangle
Venue: The Mathematical Gazette
Year: 2020

References 1. Eric W. Weisstein, Perspective Triangles, From MathWorld A Wolfram Web Resource http:/mathworld.wolfram.com/PerspectiveTriangles.html 2. Eric W. Weisstein, Barycentric Coordinates, From MathWorld A Wolfram Web Resource http:/mathworld.wolfram.com/BarycentricCoordinates.html 10.1017/mag.2020.114 THANH TUNG VU (c) The Mathematical Association 2020 250 Quang Trung, Namdinh City, Vietnam e mail: tungvtt@gmail.com QUOC MY VU 23 Ta Hien, Hoan Kiem District, Hanoi, Vietnam e mail: vuquocmy@gmail.com
Entrepreneurship and economic growth: Evidence from emerging and developed countries
Year: 2009

This paper presents an extension to the economic growth model developed by Wong, Ho, and Autio (2005) to reflect differences in the economic effects of opportunity and necessity based entrepreneurship in both emerging and developed countries. Data from 44 countries for the years 2004 and 2005, as collected by Global Entrepreneurship Monitor (GEM) research and Global Competitiveness Report (GCR) research, are used to identify predictors of GDP growth for emerging and developed nations. The GEM data are used to determine the effect of different types of entrepreneurship on GDP growth. The GCR data operationalize additional control variables suggested by three economic growth theories: new economic geography, endogenous growth theory and national systems of innovation. This contribution to the literature suggests that, in developed countries, a significant portion of economic growth rates can be attributed to high expectation entrepreneurs exploiting national investments in knowledge creation and regulatory freedom. However, in emerging countries this effect is absent. It is hypothesized that a threshold exists for entrepreneurs to gain access to the formal economy, below which entrepreneurial contributions act through informal mechanisms.
Nanostructured multilayer compartments towards multifunctionality and 'cell like' hierarchical complexity
Year: 2012

Superhydrophobic patterned chips for the combinatorial and rapid study of 3D biomaterials cells interactions and protein delivery systems MB Oliveira, CL Salgado, WL Song and JF Mano 3B's Research Group Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, AvePark, Taipas, Guimaraes, Portugal; ICVS/3B's PT Government Associate Laboratory, Braga/ Guimaraes, Portugal