nils-herrmann/clean_scirepeval huggingface dataset:
Changing Teacher Roles, Identities and Professionalism: An Annotated Bibliography
Year: 2007

Preface The aim of this annotated bibliography is to enable researchers, practitioners, policy makers and organizations with an interest in issues of teacher professionalism and teachers' professional development to elicit the latest evidence and understanding about teachers' lives and professional practices. We have selected 100 texts published since January 2000 and, although it is clearly not exhaustive, we view our selection as containing some of the most recent, relevant and important work in this area. In addition to publications which focus on the experiences of UK teachers, our selection includes texts which draw on research on teachers conducted in other national settings, as well as publications which examine professional experiences in other public sector fields (for example, in the health services) Our selection also includes publications which engage with the concept of professionalism in ways that transcend particular occupational or national contexts. Because we are aware that there are highly influential texts preceding our post January 2000 timeframe which have shaped the development of theoretical and empirical work on teachers' roles, identities and professionalism, Geoff Troman has produced a paper which maps the historical development of scholarship on teachers' work and teacher professionalism before 2000  We hope this will provide a useful introduction to the recent history of scholarship in this area for those unfamiliar with it and that it will serve as a useful reminder to all 2 readers of the importance of locating contemporary writing on teachers' work and professionalism in the context of longstanding scholarly debates.
Bayesian 3D velocity field reconstruction with virbius
Year: 2016

I describe a new Bayesian based algorithm to infer the full three dimensional velocity field from observed distances and spectroscopic galaxy catalogues. In addition to the velocity field itself, the algorithm reconstructs true distances, some cosmological parameters and specific non linearities in the velocity field. The algorithm takes care of selection effects, miscalibration issues and can be easily extended to handle direct fitting of e.g. the inverse Tully Fisher relation. I first describe the algorithm in details alongside its performances. This algorithm is implemented in the virbius (VelocIty Reconstruction using Bayesian Inference Software) software package. I then test it on different mock distance catalogues with a varying complexity of observational issues. The model proved to give robust measurement of velocities for mock catalogues of 3000 galaxies. I expect the core of the algorithm to scale to tens of thousands galaxies. It holds the promises of giving a better handle on future large and deep distance surveys for which individual errors on distance would impede velocity field inference.
Cartography, spatial thinking and the study of cities in geographical education
Year: 2018

This text aims to articulate Cartography as a language and the representations as results of pedagogical practices that stimulate spatial thinking in the socio environmental study of the city. In this point of view, in order to have a meaningful learning and a better understanding of reality, it is necessary to have a didactic intentionality that relates the relevance of the cartographic language in the teaching and learning process and its intrinsic condition to Geography to spatially think the contents, concepts and knowledge geographical features. With these discussions and in the theoretical and methodological approaches on teaching Geography, it is possible to transform the classes into more significant moments, with innovative methods that put students in a state of mobilization by spatial thinking, observing, analyzing and working with information and physical and social phenomena at different scales, contributing to the geographical reasoning.
Hiding in Plain Sight: The Embedded Nature of Sexism in Sport
Year: 2016

In this article, from the 2015 Earle F. Zeigler Lecture Award presented in Ottawa, Canada, I hope to create greater awareness of how sexism remains uncontested in sport. I highlight the persistence of sexism in sport and note the form of sexism is different from that found in other industries. I also argue that sexism is treated quite differently than other types of discrimination in sport and provide examples of its impact. I suggest that adapting Shaw and Frisby's (2006) alternative frame of gender equity is necessary for real change to occur and call on all NASSM members as researchers, teachers, or participants to take action to eradicate sexism in sport.
Verification and validation of simulation models
Venue: Proceedings of the 2011 Winter Simulation Conference (WSC)
Year: 2011

In this paper we discuss verification and validation of simulation models. Four different approaches to deciding model validity are described, a graphical paradigm that relates verification and validation to the model development process is presented, and various validation techniques are defined. Conceptual model validity, model verification, operational validity, and data validity are discussed and a way to document results is given. A recommended procedure for model validation is presented and model accreditation is briefly discussed.
Investigating PETE Majors' Perceptions of Lesson Study as a Capstone Experience.
Year: 2012

Lesson Study is a collaborative form of planning and reflecting in which teachers research, plan, implement, and revise lessons with a focus on student learning.  The purpose of the study was to investigate three Physical Education Teacher Education (PETE) majors' perceptions of Lesson Study as a capstone experience.  Results indicate that the student teachers found this form of collaborative planning with their cooperating teachers motivational and presented opportunity to increase their ability to observe students, promote stronger collegial networks, and develop a stronger sense of self efficacy. Implications for physical education teacher education emerged and include further study and implementation of Lesson Study in teacher development.
Design, identification and experimental testing of a light weight flexible joint arm for aerial physical interaction
Venue: 2015 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2015

In this paper we introduce the design of a light weight novel flexible joint arm for light weight unmanned aerial vehicles (UAVs) which can be used both for safe physical interaction with the environment and it represents also a preliminary step in the direction of performing quick motions for tasks such as hammering or throwing. The actuator consists of an active pulley driven by a rotational servo motor, a passive pulley which is attached to a rigid link, and the elastic connections (springs) between these two pulleys. We identify the physical parameters of the system, and use an optimal control strategy to maximize its velocity by taking advantage of elastic components. The prototype can be extended to a light weight variable stiffness actuator. The flexible joint arm is applied on a quadrotor, to be used in aerial physical interaction tasks, which implies that the elastic components can also be used for stable interaction absorbing the interactive disturbances which might damage the flying system and its hardware. The design is validated through several experiments, and future developments are discussed in the paper.
Respiratory Viruses Identified in an Urban Children's Hospital Emergency Department During the 2009 Influenza A(H1N1) Pandemic
Venue: Pediatric emergency care
Year: 2012

Two surges in influenza like illness (ILI) visits to Children's Medical Center Emergency Departments, Dallas and Legacy, occurred in late spring (wave 1) and late summer 2009 (wave 2) This study describes respiratory viruses identified during the first weeks of waves 1 and 2 of the 2009 influenza A(H1N1) pandemic (pH1N1) and compares patients infected with pH1N1 with those infected with other respiratory viruses during wave 1.  From April 27 to May 7 and August 23 to September 7, 2009, nasopharyngeal swab specimens from all patients with temperature 38.2degC or higher plus 2 or more symptoms of ILI were tested by rapid antigen, direct fluorescent antibody, or multiplex polymerase chain reaction assays. Patients with pH1N1 during wave 1 were classified as cases and 3 age and sex matched controls were randomly selected from patients with 1 respiratory virus other than pH1N1. Odds ratios (ORs) and associated 95% confidence intervals (95% CIs) of characteristics associated with patients with pH1N1 were estimated using conditional logistic regression models.  During wave 1, single viruses identified in 1023 symptomatic children were confirmed pH1N1 (55, 5.4% rhinovirus (505, 49.4% parainfluenza 3 (199, 19.5% and human metapneumovirus (169, 16.5% By multivariable analysis, duration of fever (OR, 1.49; 95% CI, 1.02 2.20) and myalgia at presentation (OR, 3.09; 95% CI, 1.09 8.76) were independent predictors associated with pH1N1. During wave 2, 114 (59.7% of single viruses were pH1N1.  During the epidemic of ILI in Spring 2009, other respiratory viruses were identified more frequently than pH1N1 influenza in children with ILIs. Clinical presentation was similar for all respiratory viruses. Molecular diagnostic testing can define the prevalent viruses during community outbreaks and provide guidance to physicians making treatment decisions in emergency departments.
Gender Differences in Recognition for Group Work
Venue: Journal of Political Economy
Year: 2021

We study whether gender influences credit attribution for group work using observational data and two experiments. We use data from academic economists to test whether coauthorship matters differently for tenure for men and women. We find that, conditional on quality and other observables, men are tenured similarly regardless of whether they coauthor or solo author. Women, however, are less likely to receive tenure the more they coauthor. We then conduct two experiments that demonstrate that biases in credit attribution in settings without confounds exist. Taken together, our results are best explained by gender and stereotypes influencing credit attribution for group work.
Fractionating negative and positive affectivity in handedness: Insights from the Reinforcement Sensitivity Theory of personality
Venue: Laterality
Year: 2017

The Annett Hand Preference Questionnaire (AHPQ) as modified by Briggs and Nebes (1975) Patterns of hand preference in a student population. Cortex, 11(3) 230 238. ] was administered to a sample of 177 participants alongside the Reinforcement Sensitivity Theory of Personality Questionnaire [RST PQ; Corr, P. J. Cooper, A. (2016) The Reinforcement Sensitivity Theory of Personality Questionnaire (RST PQ) Development and validation.  which measures two factors of defensive negative emotion, motivation and affectivity the Behavioural Inhibition System (BIS) and the Fight Flight Freeze System (FFFS) and one positive approach dimension related to reward sensitivity, persistence and reactivity the Behavioural Approach System. We sought to clarify the nature of negative, and positive, affectivity in relation to handedness. ANOVAs and multiple regression analyses converged on the following conclusions: left handers were higher on the BIS, not the FFFS, than right handers; in right handers only, strength of hand preference was positively correlated with the FFFS, not the BIS. The original assessment method proposed by Annett was also used to assess handedness, but associations with RST PQ factors were not found. These findings help us to clarify existing issues in the literature and raise new ones for future research.
Efecto del inhibidor acido abscisico en la calidad del fruto de la vid (Vitis vinifera L. cvs. shiraz y cabernet sauvignon franco fase II
Year: 2018

Evaluar el efecto del Acido Abscisico en las caracteristicas fisicas y quimicas del fruto de la vid en los cultivares Shiraz y Cabernet Sauvignon Franco.
Automated Evaluation of Hole Cleaning Efficiency While Drilling Improves Rate of Penetration
Year: 2020

Hole cleaning of drilled hole section of planned oil or gas well is considered as a major part of optimization of rate of penetration (ROP) ROP significantly depends on hole cleaning of drilled hole section. Hole cleaning can minimize hole problems such as stuck pipe incidents, drilling cuttings accumulation, torque and drag, erratic equivalent circulating density (ECD) in annulus, wellbore instability, tight spot and hole conditions and improves well drilling performance to maximum limit of rate of penetration which depends on rig equipment as well, however, hole cleaning will help to utilize maximum output of those equipment to achieve satisfactory performance. In addition, hole cleaning contributes effectively to optimize rig performance as well. It can optimize running time of casings, cementing and well displacement. Hole cleaning is practical more than theoretical and it requires immediate intervention for ensuring efficient hole cleaning to have optimized performance of rate of penetration. In order to achieve proper hole cleaning efficiency, it must be planned and engineered in well design. A new hole cleaning automated models or indexes were developed to monitor, optimize and alert drilling team to realize and recognize and perform an immediate intervention to optimize or control well drilling and operations performance. Drilling parameters and fluid rheology were collected and studied to come up with efficient hole cleaning models. Collected parameters were compared with other hole cleaning models parameters and rate of penetration to assign strong, qualitative and quantitative relationships that support developed models. The hole cleaning model (or hole cleaning efficiency index) can be automated and provide general idea about hole cleaning efficiency applied in drilled hole section and optimized drilling rate. The developed models were applied in challenging hole sections and showed improvement in well drilling and operations performance. Similarly, it has shown improvement of drilling rate more than 50%
Unwinding a spiral of cellulose nanocrystals for stimuli responsive stretchable optics
Venue: Nature Communications
Year: 2019

Cellulose nanocrystals (CNCs) derived from biomass spontaneously organize into a helical arrangement, termed a chiral nematic structure. This structure mimics the organization of chitin found in the exoskeletons of arthropods, where it contributes to their remarkable mechanical strength. Here, we demonstrate a photonic sensory mechanism based on the reversible unwinding of chiral nematic CNCs embedded in an elastomer, leading the materials to display stimuli responsive stretchable optics. Vivid interference colors appear as the film is stretched and disappear when the elastomer returns to its original shape. This reversible optical effect is caused by a mechanically induced transition of the CNCs between a chiral nematic and pseudo nematic arrangement.Cellulose nanocrystals (CNCs) spontaneously organize into a helical arrangement but flexible CNC elastomer composite materials with this structure were so far not realized. Here the authors demonstrate the fabrication of a CNC based elastomer composite and its application as a photonic strain sensor.
The influence of change oriented leadership on work performance and job satisfaction in hospitals the mediating roles of learning demands and job involvement.
Venue: Leadership in health services
Year: 2019

The purpose of this paper is to examine the mechanisms through which change oriented leadership in hospitals influences job performance and employee job satisfaction. The authors examine the direct and the mediating effects of perceived learning demands and job involvement.  This cross sectional study is based on a survey of four public hospitals in a regional health authority in Norway.  The findings illustrate how change oriented leadership directly and indirectly influences work performance and job satisfaction. Learning demands and job involvement play mediating roles. Higher levels of change oriented leadership decrease learning demands and increase job involvement, work performance and job satisfaction. Learning demands have a negative influence on work performance and job satisfaction. Job involvement has a positive influence on work performance and job satisfaction. The strongest relationship in the structural modelling is between change oriented leadership and job involvement.  This study is based on cross sectional data. Future studies should therefore explore this further using a longitudinal design.  The practical implication of the study is to show how leaders by change oriented behaviour can influence work performance and job satisfaction by reducing learning demands and increasing job involvement.  This study illustrates different paths towards influencing job performance and job satisfaction from change oriented leadership. It is important to use the potential of reducing learning demands and increasing job involvement, to improve job performance and job satisfaction.  The authors have developed and validated a new theoretical mediational model explaining variance in job performance and job satisfaction, and how this is related to change oriented leadership, job involvement and learning demands. This knowledge can be used to increase the probability of successful change initiatives.
Evodiamine Reduces Caffeine Induced Sleep Disturbances and Excitation in Mice
Venue: Biomolecules therapeutics
Year: 2018

Worldwide, caffeine is among the most commonly used stimulatory substances. Unfortunately, significant caffeine consumption is associated with several adverse effects, ranging from sleep disturbances (including insomnia) to cardiovascular problems. This study investigates whether treatment with the Evodia rutaecarpa aqueous extract (ERAE) from berries and its major molecular component, evodiamine, can reduce the adverse caffeine induced sleep related and excitation effects. We combined measurements from the pentobarbital induced sleep test, the open field test, and the locomotor activity test in mice that had been dosed with caffeine. We found that ERAE and evodiamine administration reduced the degree of caffeine induced sleep disruption during the sleep test. Additionally, we found that evodiamine significantly inhibits caffeine induced excitation during the open field test, as well as decreasing hyperlocomotion in the locomotor activity test. Additional in vitro experiments showed that caffeine administration decreased the expression of g aminobutyric acid (GABA)A receptor subunits in the mouse hypothalamus. However, evodiamine treatment significantly reversed this expression reduction. Taken together, our results demonstrate that ERAE and its major compound, evodiamine, provide an excellent candidate for the treatment or prevention of caffeine induced sleep disturbances and excitatory states, and that the mechanism of these beneficial effects acts, at least in part, through the GABAA ergic system.
Task Independent Knowledge Makes for Transferable Representations for Generalized Zero Shot Learning
Venue: AAAI
Year: 2021

Generalized Zero Shot Learning (GZSL) targets recognizing new categories by learning transferable image representations. Existing methods find that, by aligning image representations with corresponding semantic labels, the semanticaligned representations can be transferred to unseen categories. However, supervised by only seen category labels, the learned semantic knowledge is highly task specific, which makes image representations biased towards seen categories. In this paper, we propose a novel Dual Contrastive Embedding Network (DCEN) that simultaneously learns taskspecific and task independent knowledge via semantic alignment and instance discrimination. First, DCEN leverages task labels to cluster representations of the same semantic category by cross modal contrastive learning and exploring semantic visual complementarity. Besides task specific knowledge, DCEN then introduces task independent knowledge by attracting representations of different views of the same image and repelling representations of different images. Compared to high level seen category supervision, this instance discrimination supervision encourages DCEN to capture low level visual knowledge, which is less biased toward seen categories and alleviates the representation bias. Consequently, the task specific and task independent knowledge jointly make for transferable representations of DCEN, which obtains averaged 4.1% improvement on four public benchmarks.
Evaluating social ecological aspects of buffer zones at the borders of Etosha National Park, Namibia
Year: 2015

The study aims to investigate the premise that the implementation of a buffer zone around a national park provides opportunities for local communities to become active in the management of such areas. The study focuses on the Etosha National Park in Namibia, where the implementation of a buffer zone has been proposed, since the park fence is a potential barrier for ecosystem and social ecological integrity. The research explores the extent to which the park fence influences the livelihoods of landowners and resource users in selected areas, by assessing local perspectives on the artificial boundary between them and their natural environment. Effectively implementing a buffer zone will require innovative solutions, dependent on consensus building and the formation of partnerships between the park and its neighbours. The study aims to assess the social ecological edge effects and resulting land use conflicts at the borders of the park, as this will aid in identifying suitable implementation strategies. Current and potential institutional arrangements and linkages are to be investigated to further adaptive co governance of land and natural resources.
Algorithm Selection for Classification Problems via Cluster based Meta features
Venue: 2018 IEEE International Conference on Big Data (Big Data)
Year: 2018

Meta features describe the characteristics of the datasets to facilitate algorithm selection. This paper proposes a new set of meta features based on clustering the instances within datasets. We propose the use of a greedy clustering algorithm, and evaluate the meta features generated based on the learning curves produced by the Random Forest algorithm. We also compared the utility of the proposed meta features against preexisting meta features described in the literature, and evaluated the applicability of these meta features over a sample of UCI datasets. Our results show that these meta features do indeed improve the performance when applied to the algorithm selection task.