nils-herrmann/clean_scirepeval huggingface dataset:
First Language Longitudinal Predictors of Second Language Literacy in Young L2 Learners.

Can young students' early reading abilities in their first language (L1) predict later literacy development in a second language (L2) The cross language relationships between Chinese (L1) and English (L2) among 87 Hong Kong students were explored in a longitudinal study. Chinese word reading fluency, Chinese rapid digit naming, and Chinese rhyme awareness at age 7 (grade 1) with age and IQ taken into account, were significant concurrent and longitudinal predictors of English word reading, and text level reading and writing skills across ages 7 10. These three Chinese measures together accounted for 16 28% of unique variance in the English literacy tasks across the three year period. Students who showed word reading difficulties in Chinese in grade 1 also performed more poorly than average Chinese readers in English reading and related cognitive tasks later on, especially on phonological tasks. The results provided evidence for the cross language transfer of cognitive linguistic abilities between two distinctly different orthographies. L1 markers underlying reading difficulties in both L1 and L2 can serve as early indicators of possible reading problems that may arise later in L2. These findings have clinical, educational, and theoretical implications.
Temperature Dependent Dielectric Properties of Al/Epoxy Nanocomposites
Venue: Journal of Electronic Materials

Broadband dielectric spectroscopy was carried out to study the transition in electrical properties of Al/epoxy nanocomposites over the frequency range of 1 107 Hz and the temperature range of 20degC to 200degC. The dielectric permittivity, dissipation factor, and electrical conductivity of the nanocomposites increased with temperature and showed an abrupt increase around the glass transition temperature (Tg) The results clearly reveal an interesting transition of the electrical properties with increasing temperature: insulator below 70degC, conductor at about 70degC. The behavior of the transition in electrical properties of the nanocomposites was explored at different temperatures. The presence of relaxation peaks in the loss tangent and electric modulus spectra of the nanocomposites confirms that the chain segmental dynamics of the polymer is accompanied by the absorption of energy given to the system. It is suggested that the temperature dependent transition of the electric properties in the nanocomposite is closely associated with the a relaxation. The large increase in the dissipation factor and electric conductivity depends on the direct current conduction of thermally activated charge carriers resulting from the epoxy matrix above Tg.
Project Outcomes Improved by Emotional Intelligence

Besides the business pressures to keep projects performing, the technology sector faces ever increasing diversity in its workforce, bringing to the project teams challenge of developing soft skills such as emotional intelligence (EI) In the present study, the focus was on the Hispanic population because few researchers have conducted studies involving the significant value of EI and project outcomes from the Hispanic perspective. The purpose of the quantitative correlational research study was to examine whether a significant relationship existed between the EI competencies of Hispanic team members and project outcomes within the technology sector in the United States. The results of the statistical analyses were convincing in establishing a statistically significant relationship between EI competencies, identified as predictor variables and the project outcomes identified as criterion variables. A significant recommendation is to explore the possibilities of integrating EI in the employee development curriculum for project teams. Project managers should explore means to make EI training a routine part of employee development. Managers might also practice EI skills in their daily interactions with project team members inside and outside the organization.
Evaluating different families of prediction methods for estimating software project outcomes
Venue: J. Syst. Softw.

We compare classifiers using AUC when predicting software project outcome.Attribute selection using Information Gain improves our classifiers performance.Statistical and ensemble classifiers are robust for predicting project outcome.Random Forest is the most appropriate technique for determining project outcome.Best prediction is achieved with team dynamics, process, and estimation attributes. Software has been developed since the 1960s but the success rate of development projects is still low. Classification models have been used to predict defects and effort estimation, but little work has been done to predict the outcome of these projects. Previous research shows that it is possible to predict outcome using classifiers based on key variables during development, but it is not clear which techniques provide more accurate predictions. We benchmark classifiers from different families to determine the outcome of a software project and identify variables that influence it. A survey based empirical investigation was used to examine variables contributing to project outcome. Classification models were built and tested to identify the best classifiers for this data by comparing their AUC values. We reduce the dimensionality of the data with Information Gain and build models with the same techniques. We use Information Gain and classification techniques to identify key attributes and their relative importance. We find that four classification techniques provide good results for survey data, regardless of dimensionality reduction. We conclude that Random Forest is the most appropriate technique for predicting project outcome. We identified key attributes which are related to communication, estimation, and process review.
What factors influence knowledge sharing in organizations? A social dilemma perspective of social media communication
Venue: J. Knowl. Manag.

Enterprise social media platforms provide new ways of sharing knowledge and communicating within organizations to benefit from the social capital and valuable knowledge that employees have. Drawing on social dilemma and self determination theory, the purpose of this paper is to understand what factors drive employees' participation and what factors hamper their participation in enterprise social media.  Based on a literature review, a unified research model is derived integrating demographic, individual, organizational and technological factors that influence the motivation of employees to share knowledge. The model is tested using statistical methods on a sample of 114 respondents in Denmark. Qualitative data are used to elaborate and explain quantitative findings.  The findings pinpoint towards the general drivers and barriers to knowledge sharing within organizations. The significant drivers to knowledge sharing are: enjoy helping others, monetary rewards, management support, management encourages and motivates knowledge sharing behavior and knowledge sharing is recognized. The significant identified barriers are: change of behavior, lack of trust and lack of time.  The proposed knowledge sharing framework helps to understand what factors impact engagement on social media. Furthermore, the article suggests different types of interventions to overcome the social dilemma of knowledge sharing.  The study contributes to an understanding of factors leading to the success or failure of enterprise social media drawing on self determination and social dilemma theory.
Neural dialog state tracker for large ontologies by attention mechanism
Venue: 2016 IEEE Spoken Language Technology Workshop (SLT)

This paper presents a dialog state tracker submitted to Dialog State Tracking Challenge 5 (DSTC 5) with details. To tackle the challenging cross language human human dialog state tracking task with limited training data, we propose a tracker that focuses on words with meaningful context based on attention mechanism and bi directional long short term memory (LSTM) The vocabulary including a plenty of proper nouns is vectorized with a sufficient amount of related texts crawled from web to learn a good embedding for words not existent in training dialogs. Despite its simplicity, our proposed tracker succeeded to achieve high accuracy without sophisticated pre and post processing.
Genomic insights into the origin of farming in the ancient Near East
Venue: Nature

We report genome wide ancient DNA from 44 ancient Near Easterners ranging in time between ~12,000 and 1,400 bc, from Natufian hunter gatherers to Bronze Age farmers. We show that the earliest populations of the Near East derived around half their ancestry from a 'Basal Eurasian' lineage that had little if any Neanderthal admixture and that separated from other non African lineages before their separation from each other. The first farmers of the southern Levant (Israel and Jordan) and Zagros Mountains (Iran) were strongly genetically differentiated, and each descended from local hunter gatherers. By the time of the Bronze Age, these two populations and Anatolian related farmers had mixed with each other and with the hunter gatherers of Europe to greatly reduce genetic differentiation. The impact of the Near Eastern farmers extended beyond the Near East: farmers related to those of Anatolia spread westward into Europe; farmers related to those of the Levant spread southward into East Africa; farmers related to those of Iran spread northward into the Eurasian steppe; and people related to both the early farmers of Iran and to the pastoralists of the Eurasian steppe spread eastward into South Asia.
Effects of activated charcoal on physical and mechanical properties of microwave dewaxed investment casting moulds

Dewaxing processes are crucial to investment casting. But the processes currently in use required series of steps that consume a lot of time (e.g. steam production in an autoclave and preheating in furnace systems) Ceramic moulds should meet required strength, porosity, collapsibility and reliability. The aim of the research is to study the effects of increasing activated charcoal content on dewaxing time and moulds properties. Ceramic moulds were prepared using modified coarse back up stucco that was applied to the layers 3 6 only. The modified stucco was prepared by mixing with 0 30% activated charcoal. The moulds were dewaxed in microwave dewaxing test rig and then fired. During dewaxing, it was found that moulds with 30% activated charcoal usually crack on their edges. The green and fired moulds were tested for density, porosity and strength. Weibull analysis was conducted on the strength data for moulds with 0% and 25% activated the charcoal content. The dewaxing time reduced by about 37.5% density and flexural strength of the both green and fired samples decreased for 25% increase in activated charcoal content. Whereas the porosity increase in both samples for the corresponding increase in activated charcoal content. The Weibull analysis shows a narrower strength distribution at 25% activated charcoal content. Lastly, the findings of this research show that increasing activated charcoal content in the moulds improves microwave absorption and decrease dewaxing time with no preheating required. Furthermore, porosity and collapsibility of the mould improve, while moulds strength and density decreased.
Assessment of the Impact of Window Size, Position and Orientation on Building Energy Load Using BIM

In improving energy efficiency of buildings, windows play a significant role as they largely influence the energy load. Although there are many studies about the energy efficient window design, a rigorous study is missing which analyzes the mutual impact of windows' size, position and orientation on the energy load. This study aims to address this gap through a case study on a single family house. For this aim, 65 different design scenarios are created which vary by window size, position and orientation. Building information models (BIMs) are created for each scenario via Autodesk Revit(r) and are used for the calculation of the total energy load conducted by Autodesk Green Building Studio(r) In the first analysis stage, window to wall ratio (WWR) and the windows' position are studied to assess their effect on the energy load. The preliminary results at this stage indicate that the total energy load increases when the WWR grows, and the windows' position has the biggest impact on the load when the WWR is 20. Using these results, in the next stage, the position of windows in different orientation is studied to assess how the energy load changes by windows' position in each orientation. The results show that the building requires the lowest load when the windows are located in the middle height in all orientations, and the east windows' positioning affects the total energy load the most.
A study on data visualization of embedded sensors for building energy monitoring using BIM

In recent years, building energy consumption has increased in response to climate change, resulting in a worldwide reduction of energy efficiency. A strong response is required, through both the enhancement of building energy efficiency and the reduction of power usage. These objectives could be achieved by pursuing "Blackout" prevention, through developing a control unit such as that of the urban energy grid system that was used in the Energy Operation Center (EOC) for smart cities. In this context, this paper presents an optimization operation technique for Building Energy Management Systems (BEMS) using control monitor based Building Information Modeling (BIM) for the efficient operation of the EOC. BIM is one of the approaches that can be used for the visual representation, management, and exchange of information on all aspects of a building. The EOC should be able to efficiently represent the data from the building information, and the operator maintaining it should be able to promptly acquire the data for handling it. This suggests that the control of energy consumption by a Building Automation System (BAS) to maximize building energy efficiency will lead to improved total energy performance, reduced operating costs, and reduced environmental impact.
How your colleagues' reputation impact your patients' odds of posting experiences: Evidence from an online health community
Venue: Electron. Commer. Res. Appl.

We looked into the role of reputation in healthcare.We used the data of a large online health community.We found the moderation effect of a physician's colleagues' reputation. Given our limited and irrational use of medical resources, governments hope that using online health communities can help patients receive necessary treatments. Although abundant research has studied the role of reputation in e commerce, studies on the role of reputation in online health communities (OHCs) remain scarce. This paper focuses on investigating how the reputation of one physician's colleagues affects the focal physician's future review amount, which is an important predictor for physicians' performance in the future. We examine this question by studying a special service: Online Booking, Service in Hospitals (OBSH) We find that both the focal physician's reputation and his/her colleagues' reputation have significant impact on his/her patients' odds of sharing their treatment experience online. In addition, colleagues' reputation negatively moderates the relationship between the focal physician's reputation and his/her patients' odds of sharing their treatment experience.
Unsupervised discriminant canonical correlation analysis based on spectral clustering
Venue: Neurocomputing

Canonical correlation analysis (CCA) has been widely applied to information fusion. However, it only considers the correlated information between the paired data and ignores the correlated information between the samples in the same class. Furthermore, class information is helpful for CCA to extract the discriminant feature, but there is no class information available in application of clustering. Thus, it is difficult to utilize the correlated information between the samples in the same class. In order to utilize this correlated information, we propose a method named Unsupervised Discriminant Canonical Correlation Analysis based on Spectral Clustering (UDCCASC) Class membership of the samples is calculated using the normalized spectral clustering, while the mappings for feature fusion are computed by using the generalized eigenvalue method. These two algorithms are executed alternately before the desired result is obtained. Two extensions of UDCCASC are proposed also to deal with multi view data and nonlinear data. The experimental results on MFD dataset, ORL dataset, MSRC v1 dataset show that our methods outperform traditional CCA and part of state of art methods for feature fusion.
Fast radio bursts and their gamma ray or radio afterglows as Kerr Newman black hole binaries

Fast radio bursts (FRBs) are radio transients lasting only about a few milliseconds. They seem to occur at cosmological distances. We propose that these events can be originated in the collapse of the magnetosphere of Kerr Newman black holes (KNBHs) We show that the closed orbits of charged particles in the magnetosphere of these objects are unstable. After examining the dependencies on the specific charge of the particle and the spin and charge of the KNBH, we conclude that the resulting timescale and radiation mechanism fit well with the extant observations of FRBs. Furthermore, we argue that the merger of a KNBH binary is one of the plausible central engines for potential gamma ray or radio afterglow following a certain FRBs, and can also account for gravitational wave (GW) events like GW 150914. Our model leads to predictions that can be tested by combined multi wavelength electromagnetic and GW observations.
The Fiction of Sovereignty and the Real State of Exception: Giorgio Agamben's Critique of Carl Schmitt

Agamben is perhaps best known for his analysis of the "logic of sovereignty" drawn from Carl Schmitt. This article examines the critique of sovereignty that Agamben develops through his reading of Walter Benjamin's messianism. For Agamben, Schmitt's analysis of sovereignty claims that the state of exception is a juridical condition, in that the law survives its suspension in the form of the "force of law." Drawing on Benjamin, Agamben argues that sovereignty is a fiction that covers over the originary inoperativity of the law and the illegitimacy of authority. The purpose of Agamben's analysis is to open space for a new understanding of the relationship between law and political action that responds to the contemporary crisis of tradition.
Modeling Behavior of Friction Pile in Compacted Glacial Till

AbstractExperimental and numerical modeling studies related to the behavior of pile foundations are conventionally undertaken based on the assumption that the surrounding soils are in a state of saturated condition. Such an assumption may contribute to erroneous estimations of the stability and settlement behavior of pile foundations installed in unsaturated soils due to neglecting the influence of soil suction. In this paper, the behavior of a single friction pile loaded in drained and undrained conditions in a compacted glacial till is modeled using finite element analyses (FEAs) The influence of the soil suction on (1) the shear strength and the modulus of elasticity of the soil and (2) the shear strength of the pile soil interface derived from the experimental studies is discussed and considered in the FEA. There is reasonable agreement between the load settlement behavior and the bearing capacity of the friction pile modeled using the FEA and the measured results from experimental studies. This stud.
Meteorological factors driving glacial till variation and the associated periglacial debris flows in Tianmo Valley, south eastern Tibetan Plateau.

Meteorological studies have indicated that high alpine environments are strongly affected by climate warming, and periglacial debris flows are frequent in deglaciated regions. The combination of rainfall and air temperature controls the initiation of periglacial debris flows, and the addition of meltwater due to higher air temperatures enhances the complexity of the triggering mechanism compared to that of storm induced debris flows. On the south eastern Tibetan Plateau, where temperate glaciers are widely distributed, numerous periglacial debris flows have occurred over the past 100 years, but none occurred in the Tianmo watershed until 2007. In 2007 and 2010, three large scale debris flows occurred in the Tianmo Valley. In this study, these three debris flow events were chosen to analyse the impacts of the annual meteorological conditions, including the antecedent air temperature and meteorological triggers. The remote sensing images and field measurements of the adjacent glacier suggested that sharp glacier retreats occurred in the 1 to 2 years preceding the events, which coincided with spikes in the mean annual air temperature. Glacial till changes providing enough active sediment driven by a prolonged increase in the air temperature are a prerequisite of periglacial debris flows. Different factors can trigger periglacial debris flows, and they may include high intensity rainfall, as in the first and third debris flows, or continuous, long term increases in air temperature, as in the second debris flow event.
Diagnosing institutional barriers and opportunities for adaptation to climate change
Venue: Mitigation and Adaptation Strategies for Global Change

Institutions are one of the decisive factors which enable, constrain and shape adaptation to the impacts of climate change, variability and extreme events. However, current understanding of institutions in adaptation situations is fragmented across the scientific community, evidence diverges, and cumulative learning beyond single studies is limited. This study adopts a diagnostic approach to elaborate a nuanced understanding of institutional barriers and opportunities in climate adaptation by means of a model centred meta analysis of 52 case studies of public climate adaptation in Europe. The first result is a novel taxonomy of institutional attributes in adaptation situations. It conceptually organises and decomposes the many details of institutions that empirical research has shown to shape climate adaptation. In the second step, the paper identifies archetypical patterns of institutional traps and trade offs which hamper adaptation. Thirdly, corresponding opportunities are identified that enable actors to alleviate, prevent or overcome specific institutional traps or trade offs. These results cast doubt on the validity of general institutional design principles for successful adaptation. In contrast to generic principles, the identified opportunities provide leverage to match institutions to specific governance problems that are encountered in specific contexts. Taken together, the results may contribute to more coherence and integration of adaptation research that we need if we are to foster learning about the role of institutions in adaptation situations in a cumulative fashion.