Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Science
Title: OER Recommendations to Support Career Development
Abstract: This Work in Progress Research paper departs from the recent, turbulent changes in global societies, forcing many citizens to re-skill themselves to (re)gain employment. Learners therefore need to be equipped with skills to be autonomous and strategic about their own skill development. Subsequently, high-quality, on-line, personalized educational content and services are also essential to serve this high demand for learning content. Open Educational Resources (OERs) have high potential to contribute to the mitigation of these problems, as they are available in a wide range of learning and occupational contexts globally. However, their applicability has been limited, due to low metadata quality and complex quality control. These issues resulted in a lack of personalised OER functions, like recommendation and search. Therefore, we suggest a novel, personalised OER recommendation method to match skill development targets with open learning content. This is done by: 1) using an OER quality prediction model based on metadata, OER properties, and content; 2) supporting learners to set individual skill targets based on actual labour market information, and 3) building a personalized OER recommender to help learners to master their skill targets. Accordingly, we built a prototype focusing on Data Science related jobs, and evaluated this prototype with 23 data scientists in different expertise levels. Pilot participants used our prototype for at least 30 minutes and commented on each of the recommended OERs. As a result, more than 400 recommendations were generated and 80.9% of the recommendations were reported as useful.
Extracted statement — contains: Model
Research field: Science
Title: Prognos- tic and biologic significance of chromosomal imbalances assessed by comparative genomic hybridization in multiple myeloma
Abstract: Cytogenetic abnormalities, evaluated either by karyotype or by fluorescence in situ hybridization (FISH), are considered the most important prognostic factor in multiple myeloma (MM). However, there is no information about the prognostic impact of genomic changes detected by comparative genomic hybridization (CGH). We have analyzed the frequency and prognostic impact of genetic changes as detected by CGH and evaluated the relationship between these chromosomal imbalances and IGH translocation, analyzed by FISH, in 74 patients with newly diagnosed MM. Genomic changes were identified in 51 (69%) of the 74 MM patients. The most recurrent abnormalities among the cases with genomic changes were gains on chromosome regions 1q (45%), 5q (24%), 9q (24%), 11q (22%), 15q (22%), 3q (16%), and 7q (14%), while losses mainly involved chromosomes 13 (39%), 16q (18%), 6q (10%), and 8p (10%). Remarkably, the 6 patients with gains on 11q had IGH translocations. Multivariate analysis selected chromosomal losses, 11q gains, age, and type of treatment (conventional chemotherapy vs autologous transplantation) as independent parameters for predicting survival. Genomic losses retained the prognostic value irrespective of treatment approach. According to these results, losses of chromosomal material evaluated by CGH represent a powerful prognostic factor in MM patients.
Extracted statement — Disease: Myeloma
Research field: Science
Title: Comparative analyses of seven algorithms for copy number variant identification from single nucleotide polymorphism arrays
Abstract: Determination of copy number variants (CNVs) inferred in genome wide single nucleotide polymorphism arrays has shown increasing utility in genetic variant disease associations. Several CNV detection methods are available, but differences in CNV call thresholds and characteristics exist. We evaluated the relative performance of seven methods: circular binary segmentation, CNVFinder, cnvPartition, gain and loss of DNA, Nexus algorithms, PennCNV and QuantiSNP. Tested data included real and simulated Illumina HumHap 550 data from the Singapore cohort study of the risk factors for Myopia (SCORM) and simulated data from Affymetrix 6.0 and platform-independent distributions. The normalized singleton ratio (NSR) is proposed as a metric for parameter optimization before enacting full analysis. We used 10 SCORM samples for optimizing parameter settings for each method and then evaluated method performance at optimal parameters using 100 SCORM samples. The statistical power, false positive rates, and receiver operating characteristic (ROC) curve residuals were evaluated by simulation studies. Optimal parameters, as determined by NSR and ROC curve residuals, were consistent across datasets. QuantiSNP outperformed other methods based on ROC curve residuals over most datasets. Nexus Rank and SNPRank have low specificity and high power. Nexus Rank calls oversized CNVs. PennCNV detects one of the fewest numbers of CNVs.
Extracted statement — Algorithm: Nexus
Research field: Science
Title: The application of an occupational therapy nutrition education programme for children who are obese
Abstract: The aim of this study was to evaluate an occupational therapy nutrition education programme for children who are obese with the use of two interactive games. A quasi-experimental study was carried out at a municipal school in Fortaleza, Brazil. A convenient sample of 200 children ages 8-10 years old participated in the study. Data collection comprised a semi-structured interview, direct and structured observation, and focus group, comparing two interactive games based on the food pyramid (video game and board game) used individually and then combined. Both play activities were efficient in the mediation of nutritional concepts, with a preference for the board game. In the learning strategies, intrinsic motivation and metacognition were analysed. The attention strategy was most applied at the video game. We concluded that both games promoted the learning of nutritional concepts. We confirmed the effectiveness of the simultaneous application of interactive games in an interdisciplinary health environment. It is recommended that a larger sample should be used in evaluating the effectiveness of play and video games in teaching healthy nutrition to children in a school setting.
Extracted statement — Topic: Nutrition
Research field: Science
Title: Localizing Parts of Faces Using a Consensus of Exemplars
Abstract: We present a novel approach to localizing parts in images of human faces. The approach combines the output of local detectors with a nonparametric set of global models for the part locations based on over 1,000 hand-labeled exemplar images. By assuming that the global models generate the part locations as hidden variables, we derive a Bayesian objective function. This function is optimized using a consensus of models for these hidden variables. The resulting localizer handles a much wider range of expression, pose, lighting, and occlusion than prior ones. We show excellent performance on real-world face datasets such as Labeled Faces in the Wild (LFW) and a new Labeled Face Parts in the Wild (LFPW) and show that our localizer achieves state-of-the-art performance on the less challenging BioID dataset.
Extracted statement — Variations: occlusion
Research field: Science
Title: Robust Face Landmark Estimation under Occlusion
Abstract: Human faces captured in real-world conditions present large variations in shape and occlusions due to differences in pose, expression, use of accessories such as sunglasses and hats and interactions with objects (e.g. food). Current face landmark estimation approaches struggle under such conditions since they fail to provide a principled way of handling outliers. We propose a novel method, called Robust Cascaded Pose Regression (RCPR) which reduces exposure to outliers by detecting occlusions explicitly and using robust shape-indexed features. We show that RCPR improves on previous landmark estimation methods on three popular face datasets (LFPW, LFW and HELEN). We further explore RCPR's performance by introducing a novel face dataset focused on occlusion, composed of 1,007 faces presenting a wide range of occlusion patterns. RCPR reduces failure cases by half on all four datasets, at the same time as it detects face occlusions with a 80/40% precision/recall.
Extracted statement — Variations: occlusion
Research field: Science
Title: Visualizing ontologies with VOWL
Abstract: The Visual Notation for OWL Ontologies (VOWL) is a well-specified visual language for the user-oriented representation of ontologies. It defines graphical depictions for most elements of the Web Ontology Language (OWL) that are combined to a force-directed graph layout visualizing the ontology. In contrast to related work, VOWL aims for an intuitive and comprehensive representation that is also understandable to users less familiar with ontologies. This article presents VOWL in detail and describes its implementation in two different tools: ProtegeVOWL and WebVOWL. The first is a plugin for the ontology editor Protege, the second a standalone web application. Both tools demonstrate the applicability of VOWL by means of various ontologies. In addition, the results of three user studies that evaluate the comprehensibility and usability of VOWL are summarized. They are complemented by findings from an interview with experienced ontology users and from testing the visual scope and completeness of VOWL with a benchmark ontology. The evaluations helped to improve VOWL and confirm that it produces comparatively intuitive and comprehensible ontology visualizations.
Extracted statement — Domain: ontology
Research field: Science
Title: Organizational Resilience
and Using Information
and Communication
Technologies to Rebuild
Communication Structures
Abstract: This study employs the perspective of organizational resilience to examine how information and communication technologies (ICTs) were used by organizations to aid in their recovery after Hurricane Katrina. In-depth interviews enabled longitudinal analysis of ICT use. Results showed that organizations enacted a variety of resilient behaviors through adaptive ICT use, including information sharing, (re)connection, and resource acquisition. Findings emphasize the transition of ICT use across different stages of recovery, including an anticipated stage. Key findings advance organizational resilience theory with an additional source of resilience, external availability. Implications and contributions to the literature of ICTs in disaster contexts and organizational resilience are discussed.
Extracted statement — Focus Group: organizations
Research field: Science
Title: The environmental Kuznets curve: an empirical analysis
Abstract: This paper examines the relationship between per capita income and a wide range of environmental indicators using cross-country panel sets. The manner in which this has been done overcomes several of the weaknesses asscociated with the estimation of environmental Kuznets curves (EKCs). outlined by Stern et al. (1996). Results suggest that meaningful EKCs exist only for local air pollutants whilst indicators with a more global, or indirect, impact either increase monotonically with income or else have predicted turning points at high per capita income levels with large standard errors – unless they have been subjected to a multilateral policy initiative. Two other findings are also made: that concentration of local pollutants in urban areas peak at a lower per capita income level than total emissions per capita; and that transport-generated local air pollutants peak at a higher per capita income level than total emissions per capita. Given these findings, suggestions are made regarding the necessary future direction of environmental policy.
Extracted statement — Type of data: Panel
Research field: Science
Title: Environmental Kuznets Curves for CO2: Heterogeneity versus Homogeneity
Abstract: We explore the emissions income relationship for CO2 in OECD countries using various modelling strategies.Even for this relatively homogeneous sample, we find that the inverted-U-shaped curve is quite sensitive to the degree of heterogeneity included in the panel estimations.This finding is robust, not only across different model specifications but also across estimation techniques, including the more flexible non-parametric approach.Differences in restrictions applied in panel estimations are therefore responsible for the widely divergent findings for an inverted-U shape for CO2.Our findings suggest that allowing for enough heterogeneity is essential to prevent spurious correlation from reduced-form panel estimations.Moreover, this inverted U for CO2 is likely to exist for many, but not for all, countries.
Extracted statement — Type of data: Panel
Research field: Science
Title: Carbon emissions in Central and Eastern Europe: environmental Kuznets curve and implications for sustainable development
Abstract: This study examines the impact of various factors such as gross domestic product (GDP) per capita, energy use per capita and trade openness on carbon dioxide (CO 2 ) emission per capita in the Central and Eastern European Countries. The extended environmental Kuznets curve (EKC) was employed, utilizing the available panel data from 1980 to 2002 for Bulgaria, Hungary, Romania and Turkey. The results confirm the existence of an EKC for the region such that CO 2 emission per capita decreases over time as the per capita GDP increases. Energy use per capita is a significant factor that causes pollution in the region, indicating that the region produces environmentally unclean energy. The trade openness variable implies that globalization has not facilitated the emission level in the region. The results imply that the region needs environmentally cleaner technologies in energy production to achieve sustainable development. Copyright © 2008 John Wiley & Sons, Ltd and ERP Environment.
Extracted statement — Type of data: Panel
Research field: Science
Title: Does One Size Fit All? A Reexamination of the Environmental Kuznets Curve Using the Dynamic Panel Data Approach
Abstract: This article applies the dynamic panel generalized method of moments technique to reexamine the environmental Kuznets curve (EKC) hypothesis for carbon dioxide (CO_2) emissions and asks two critical questions: "Does the global data set fit the EKC hypothesis?" and "Do different income levels or regions influence the results of the EKC?" We find evidence of the EKC hypothesis for CO_2 emissions in a global data set, middle-income, and American and European countries, but not in other income levels and regions. Thus, the hypothesis that one size fits all cannot be supported for the EKC, and even more importantly, results, robustness checking, and implications emerge. Copyright 2009 Agricultural and Applied Economics Association
Extracted statement — Type of data: Panel
Research field: Science
Title: A panel data heterogeneous Bayesian estimation of environmental Kuznets curves for CO2emissions
Abstract: This article investigates the Environmental Kuznets Curves (EKC) for CO2 emissions in a panel of 109 countries during the period 1959 to 2001. The length of the series makes the application of a heterogeneous estimator suitable from an econometric point of view. The results, based on the hierarchical Bayes estimator, show that different EKC dynamics are associated with the different sub-samples of countries considered. On average, more industrialized countries show evidence of EKC in quadratic specifications, which nevertheless are probably evolving into an N-shape based on their cubic specification. Nevertheless, it is worth noting that the EU, and not the Umbrella Group led by US, has been driving currently observed EKC-like shapes. The latter is associated to monotonic income–CO2 dynamics. The EU shows a clear EKC shape. Evidence for less-developed countries consistently shows that CO2 emissions rise positively with income, though there are some signs of an EKC. Analyses of future performance, nevertheless, favour quadratic specifications, thus supporting EKC evidence for wealthier countries and non-EKC shapes for industrializing regions.
Extracted statement — Type of data: Panel
Research field: Science
Title: An Empirical Study on the Environmental Kuznets Curve for China’s Carbon Emissions: Based on Provincial Panel Data
Abstract: Abstract Based on the Environmental Kuznets Curve theory, the authors choose provincial panel data of China in 1990–2007 and adopt panel unit root and co-integration testing method to study whether there is Environmental Kuznets Curve for China’s carbon emissions. The research results show that: carbon emissions per capita of the eastern region and the central region of China fit into Environmental Kuznets Curve, but that of the western region does not. On this basis, the authors carry out scenario analysis on the occurrence time of the inflection point of carbon emissions per capita of different regions, and describe a specific time path.
Extracted statement — Type of data: Panel
Research field: Science
Title: Environmental Kuznets curve: evidences from developed and developing economies
Abstract: Previous studies show that the environmental quality and economic growth can be represented by the inverted U curve called Environmental Kuznets Curve (EKC). In this study, we conduct empirical analyses on detecting the existence of EKC using the five common pollutants emissions (i.e. CO2, SO2, BOD, SPM10, and GHG) as proxy for environmental quality. The data spanning from year 1961 to 2009 and cover 40 countries. We seek to investigate if the EKC hypothesis holds in two groups of economies, i.e. developed versus developing economies. Applying panel data approach, our results show that the EKC does not hold in all countries. We also detect the existence of U shape and increasing trend in other cases. The results reveal that CO2 and SPM10 are good data to proxy for environmental pollutant and they can be explained well by GDP. Also, it is observed that the developed countries have higher turning points than the developing countries. Higher economic growth may lead to different impacts on environmental quality in different economies.
Extracted statement — Type of data: Panel
Research field: Science
Title: A panel estimation of the relationship between trade liberalization, economic growth and CO2 emissions in BRICS countries
Abstract: In the last few years, several studies have found an inverted-U relationship between per capita income and environmental degradation. This relationship, known as the environmental Kuznets curve (EKC), suggests that environmental degradation increases in the early stages of growth, but it eventually decreases as income exceeds a threshold level. However, this paper investigation relationship between per capita CO2 emission, growth economics and trade liberalization based on econometric techniques of unit root test, co-integration and a panel data set during the period 1960-1996 for BRICS countries. Data properties were analyzed to determine their stationarity using the LLC , IPS , ADF and PP unit root tests which indicated that the series are I(1). We find a cointegration relationship between per capita CO2 emission, growth economics and trade liberalization by applying Kao panel cointegration test. The evidence indi cates that in the long-run trade liberalization has a positive significant impact on CO2 emissions and impact of trade liberalization on emissions growth depends on the level of income Our findings suggest that there is a quadratic relationship between relationship between real GDP and CO2 emissions for the region as a whole. The estimated long-run coefficients of real GDP and its square satisfy the EKC hypothesis in all of studied countries. Our estimation shows that the inflection point or optimal point real GDP per capita is about 5269.4 dollars. The results show that on average, sample countries are on the positive side of the inverted U curve. The turning points are very low in some cases and very high in other cases, hence providing poor evidence in support of the EKC hypothesis. Thus, our findings suggest that all BRICS countries need to sacrifice economic growth to decrease their emission levels
Extracted statement — Type of data: Panel
Research field: Science
Title: The environmental Kuznets curve in Asia: the case of sulphur and carbon emissions”
Abstract: The present study examines whether the Race to the Bottom and Revised EKC scenarios presented by Dasgupta and others (2002) are, with regard to the analytical framework of the Environmental Kuznets Curve (EKC), applicable in Asia to representative environmental indices, such as sulphur emissions and carbon emissions. To carry out this study, a generalized method of moments (GMM) estimation was made, using panel data of 19 economies for the period 1950-2009. The main findings of the analysis on the validity of EKC indicate that sulphur emissions follow the expected inverted U-shape pattern, while carbon emissions tend to increase in line with per capita income in the observed range. As for the Race to the Bottom and Revised EKC scenarios, the latter was verified in sulphur emissions, as their EKC trajectories represent a linkage of the later development of the economy with the lower level of emissions while the former one was not present in neither sulphur nor carbon emissions.
Extracted statement — Type of data: Panel
Research field: Science
Title: An Environment Kuznets Curve for GHG Emissions: A Panel Cointegration Analysis
Abstract: In this article, we attempt to use panel unit root and panel cointegration tests as well as the fully-modified ordinary least squares (OLS) approach to examine the relationships among carbon dioxide emissions, energy use and gross domestic product for 22 Organization for Economic Cooperation and Development (OECD) countries (Annex II Parties) over the 1971–2000 period. Furthermore, in order to investigate these results for other direct greenhouse gases (GHGs), we have estimated the Environmental Kuznets Curve (EKC) hypothesis by using the total GHG, methane, and nitrous oxide. The empirical results support that energy use still plays an important role in explaining the GHG emissions for OECD countries. In terms of the EKC hypothesis, the results showed that a quadratic relationship was found to exist in the long run. Thus, other countries could learn from developed countries in this regard and try to smooth the EKC curve at relatively less cost.
Extracted statement — Type of data: Panel
Research field: Science
Title: An empirical examination of environmental Kuznets curve (EKC) in West Africa
Abstract: This study aims to examine the relationship between income and environmental degradation in West Africa and ascertain the validity of EKC hypothesis in the region. The study adopted a panel data approach for fifteen West Africa countries for the period 1980-2012. The available results from our estimation procedure confirmed the EKC theory in the region. At early development stages, pollution rises with income and reaching a turning point, pollution dwindles with increasing income; as indicated by the significant inverse relation between income and environmental degradation. Consequently, literacy level and sound institutional arrangement were found to contribute significantly in mitigating the extent of environmental degradation. Among notable recommendation is the need for awareness campaign on environment abatement and adaptation strategies, strengthening of institutions to caution production and dumping pollution emitting commodities and encourage adoption of cleaner technologies.
Extracted statement — Type of data: Panel