nils-herrmann/clean_scirepeval huggingface dataset:
Tribocorrosion behavior of biofunctional titanium oxide films produced by micro arc oxidation: Synergism and mechanisms.
Venue: Journal of the mechanical behavior of biomedical materials

Dental implants, inserted into the oral cavity, are subjected to a synergistic interaction of wear and corrosion (tribocorrosion) which may lead to implant failures. The objective of this study was to investigate the tribocorrosion behavior of Ti oxide films produced by micro arc oxidation (MAO) under oral environment simulation. MAO was conducted under different conditions as electrolyte composition: Ca/P (0.3M/0.02M or 0.1M/0.03M) incorporated with/without Ag (0.62g/L) or Si (0.04M) and treatment duration (5 and 10min) Non coated and sandblasted samples were used as controls. The surfaces morphology, topography and chemical composition were assessed to understand surface properties. ANOVA and Tukey's HSD tests were used (a=0.05) Biofunctional porous oxide layers were obtained. Higher Ca/P produced larger porous and harder coatings when compared to non coated group (p<0.001) due to the presence of rutile crystalline structure. The total mass loss (Kwc) which includes mass loss due to wear (Kw) and that due to corrosion (Kc) were determined. The dominant wear regime was found for higher Ca/P groups (Kc/Kw0.05) and a mechanism of wear corrosion for controls and lower Ca/P groups (Kc/Kw0.11) The group treated for 10min and enriched with Ag presented the lowest Kwc (p<0.05) Overall, MAO process was able to produce biofunctional oxide films with improved surface features, working as tribocorrosion resistant surfaces.
Association Between Patient and Emergency Department Operational Characteristics and Patient Satisfaction Scores in a Pediatric Population
Venue: Pediatric emergency care

BackgroundEmergency departments (EDs) are seeing an increase in the importance of patient satisfaction scores, yet little is known about their association with patient and operational characteristics. ObjectivesThis study aimed to identify patient and operational characteristics associated with patient satisfaction scores. MethodsThis was a retrospective analysis of data from Press Ganey patient satisfaction surveys of pediatric patients <18 years) and their families, discharged from the ED of a single, academic, pediatric ED from December 2009 to May 2013. A linear mixed effects regression model was used to identify significant associations while taking the clustering within patients and physicians into account. Outcome variables included scores for overall experience (0 10) wait time to be seen by a provider (0 100) and likelihood to recommend (0 100) The ED characteristics considered included daily census, proportion of left without being seen, average length of stay (LOS) and total boarding hours, as well as time of day by shift, door to room time, and discharge LOS. Patient characteristics included pa tient age, sex, race, person completing survey, survey language, survey method (mailed or online) payer type, mode of arrival, distance to hospital, weekend or weekday visit, and difference of patient reported LOS to actual LOS. Only statistically significant variables were included in the final model.  total of 810 pediatric surveys were included for analysis. The overall mean (SD) was 8.7 (2.0) for overall experience, 84.0 (23.5) for waiting time to be seen by a provider, and 90.1 (22.2) for likelihood to recommend. The score for overall experience was highly correlated with likelihood to recommend (r 0.90) and less strongly correlated with score for waiting time (r 0.58) In the final models, increased door to room time was associated with a significant decrease in scores for all 3 outcome variables. In addition, a difference between perceived and actual LOS >2 hours) was significantly associated with lower scores in overall experience and likelihood to recommend, whereas surveys completed online had higher scores for waiting time to see a provider compared with mailed. ConclusionsEmergency departments looking to increase satisfaction scores should focus efforts on decreasing door to room times.
On the gamification of human centric traceability tasks in software testing and coding
Venue: 2016 IEEE 14th International Conference on Software Engineering Research, Management and Applications (SERA)

Traceability is the ability to trace the influence of one software artifact on another by linking dependencies. Test to code traceability (relationships between test and system code) plays a vital role in the production, verification, reliability and certification of highly dependable systems. In practical settings, however, traceability tasks are most often observed in the breach by human developers/testers. Prior research works on test to code traceability in software engineering do not provide high traceability output and accuracy as they mainly rely on sought after approaches to recover links. Gamified Software Engineering (GSE) is a growing field that in particular taps into gamification, the application of game mechanics in non game contexts, to address human related concerns in the field of SE. This paper argues that a new gamified approach is necessary to tackle the human issue of capturing traceability information in a by product manner. Thus, it advocates for the induction of gamification concepts in software traceability. We propose a conceptual framework where the gamification is infusing engagement into human centric traceability tasks to record trace links. An empirical evaluation was performed to assess the performance of the framework compared with a state of the art approach.
Gamification technique for supporting transparency on construction sites: a case study

The purpose of this paper is to evaluate the impacts of using gamification techniques to improve transparency of production assignments and worker performance and to increase the engagement of construction workers.  The research strategy is based on design science research. A web tool called Gamified Construction Project System was designed, implemented and evaluated through empirical studies.  The effectiveness of game mechanics used in the GamifiedSystem, such as the point system, the badge, the leaderboard and the feedbacks loops, improved the communication of weekly tasks, rules and policies through better information transparency; the system also motivated the workers to be more engaged and to improve their performance to win the game.  The main contribution of this study is the incorporation of gamification techniques in the visual management construction field and the adherence of the workforce to production tasks and rules.
Analysis and design methods of screw piles: A review

The focus of this review is the design of axially loaded screw piles. Through a comprehensive collation of all relevant literature regarding the design of screw piles, comparisons are made and relations are drawn which will ultimately be relevant to future efforts associated with the design of screw piles. Contemporary design approaches to screw piling are covered and the consequential relationships among the various geotechnical design parameters are asserted. The review is centred on vertically loaded axial piles in compression and tension in both cohesive and cohesionless soils. Through a rigid analysis of all viable design methods, in relation to the bearing capacity of helical piles, comparisons are made among the different design methods and attention is brought to the need for more research on the settlement of screw piles in order to allow for a more complete design.
Landmark of Mandarin nasal codas and its application in pronunciation error detection
Venue: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

L2 learners of Mandarin have difficulty learning native like pronunciation of nasal codas. In order to help them learn native like pronunciation, we propose to develop targeted classifiers for automatic pronunciation error detection. In this paper, perceptual experiments with modified speech are designed to analyze the exact position of the landmark of a nasal coda. Based on perceptual results from isolated words, we propose that information about nasal coda place of articulation is most dense near a landmark at the center of the nasalized vowel. Landmarks detected in a database of Japanese learners of Mandarin, and classified as correct vs. incorrect using an SVM. The result shows that the detection performance of the SVM+Landmark system is similar to that of a DNN HMM+MFCC system. When the two systems are combined, an FRR of 4.6% is achieved at DA of 83.9% This performance is comparable to that of previously developed classifiers for 16 common Mandarin pronunciation errors.
Graph clustering using k Neighbourhood Attribute Structural similarity
Venue: Appl. Soft Comput.

Display Omitted Novel graph clustering algorithms (kNAS) is proposed, for overlapping community detection in large graph by combining the topological and attribute similarity that partitions the large graph into m clusters having high intracluster and low intercluster similarity.The core node in the graph is identified using Local Outlier Factor. Structural Similarity is based on grouping of nodes based on the neighbourhood of the core node and Attribute Similarity is achieved using Similarity Score.An objective function is defined for the faster convergence of the clustering algorithm.Density and Tanimoto coefficient are the validation measures used to define the effectiveness and quality of the proposed algorithm with the existing algorithms. A simple and novel approach to identify the clusters based on structural and attribute similarity in graph network is proposed which is a fundamental task in community detection. We identify the dense nodes using Local Outlier Factor (LOF) approach that measures the degree of outlierness, forms a basic intuition for generating the initial core nodes for the clusters. Structural Similarity is identified using k neighbourhood and Attribute similarity is estimated through Similarity Score among the nodes in the group of structural clusters. An objective function is defined to have quick convergence in the proposed algorithm. Through extensive experiments on dataset (DBLP) with varying sizes, we demonstrate the effectiveness and efficiency of our proposed algorithm k Neighbourhood Attribute Structural (kNAS) over state of the art methods which attempt to partition the graph based on structural and attribute similarity in field of community detection. Additionally, we find the qualitative and quantitative benefit of combining both the similarities in graph.
A Small Academic Library and the Power of EBSCO Discovery Service

Discovery systems are important tools that libraries use to connect patrons to the multitude of open access resources and subscription databases. Whitaker Library is a small academic library with a small staff that serves a large population of first generation college students. Time is a valuable commodity. This article expands on a presentation made at the 2016 North Carolina Serials Conference about how Whitaker Library's collaboration with EBSCO Support helped to create a better user experience for our students and allowed library staff more time to focus on other student needs.
Students' meaning making and sense making of vocational knowledge in Dutch senior secondary vocational education

Meaning making and sense making are generally assumed to be part of students' personal vocational knowledge development, since they contribute to both students' socialisation in a vocation and students' personalisation of concepts, values and beliefs regarding that vocation. However, how students in vocational education acquire meaning and make sense of vocational knowledge is not explained. Furthermore, examples of what these processes entail in the context of vocational education are lacking. A multiple case study was performed to explore students' meaning making and sense making in classroom interactions in Dutch senior secondary vocational education. Our results show that meaning making is a process in which students interpret vocational knowledge by explicating and clarifying this knowledge. Sense making is perceived to be a process in which students concretise vocational knowledge by testing and justifying this knowledge. A research model was developed to describe how students make meaning and sense of vocational knowledge in interaction with practitioners.
The Model of Monitoring of Vocational Pedagogical Competences of Professors in Secondary Vocational Education

The relevance of the researched issue is preconditioned by the strategic changes in the secondary vocational education system taking place not only in Russia, but also in majority of industrially developed countries. Provision of the system with qualified pedagogical staff is the leading strategic objective of development of the secondary vocational educational system. Its solution must be based on the justified monitoring system, which objectively represents the condition as well as quantitative and qualitative changes taking place in the educational sphere. The article is aimed at developing, substantiating and approbating the model of monitoring of vocational pedagogical competences of professors in secondary vocational education. Integration of the competence, functional and general pedagogical analysis became the leading approach to research into this problem, which has enabled substantiating the model of monitoring of vocational pedagogical competences of professors in the secondary vocational education system. The article presents results of the theoretical and methodological analysis of Russian and foreign research dedicated to identification of key and emerging competences in various spheres. The competence model of a professor of secondary vocational education has been developed and substantiated as a monitoring basis. The article may be useful to improve the quality of the human resource potential in the secondary vocational education system in Russia, to define current and long range objectives of its development.
Conditions for Use of Dialogue Method of Students Career Guidance in Secondary Vocational Education

The dynamic contemporary society where continuous change is inevitable, dialogue practice is regarded as an important component of sustainable change and successful cooperation. Its presence is relevant in everyone's life, including career development and guidance. In the secondary vocational education environment where learning of general and special theories interspersed with practice of special subjects, requires not only dialogue as a simple form of communication, but dialogue method as a package of deliberate sequential activities that can efficiently operate under conditions if between student and learning environment occurs reciprocal communicative interactions that promote new behavior and attitude towards themselves, their learning and for the further life plans. The scientific article is answered to the following questions: Why is need dialogue method in the career guidance of students of secondary vocational education? What conditions ensure successful use of dialogue methods in students' career guidance in secondary vocational education? The aim of the study is to explore and evaluate the conditions that ensure the successful use of the dialogue methods of students' career guidance in secondary vocational education.  1) to describe the dialogue method and its principles; 2) to justify the need for dialogue methods career guidance of students in secondary vocational education; 3) to characterize the conditions that promote the dialogue method of guidance of students in secondary vocational education.
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques

Today, many processes at the Earth's surface are constantly monitored by multiple data streams. These observations have become central to advancing our understanding of vegetation dynamics in response to climate or land use change. Another set of important applications is monitoring effects of extreme climatic events, other disturbances such as fires, or abrupt land transitions. One important methodological question is how to reliably detect anomalies in an automated and generic way within multivariate data streams, which typically vary seasonally and are interconnected across variables. Although many algorithms have been proposed for detecting anomalies in multivariate data, only a few have been investigated in the context of Earth system science applications. In this study, we systematically combine and compare feature extraction and anomaly detection algorithms for detecting anomalous events. Our aim is to identify suitable workflows for automatically detecting anomalous patterns in multivariate Earth system data streams. We rely on artificial data that mimic typical properties and anomalies in multivariate spatiotemporal Earth observations like sudden changes in basic characteristics of time series such as the sample mean, the variance, changes in the cycle amplitude, and trends. This artificial experiment is needed as there is no gold standard for the identification of anomalies in real Earth observations. Our results show that a well chosen feature extraction step (e.g. subtracting seasonal cycles, or dimensionality reduction) is more important than the choice of a particular anomaly detection algorithm. Nevertheless, we identify three detection algorithms (k nearest neighbors mean distance, kernel density estimation, a recurrence approach) and their combinations (ensembles) that outperform other multivariate approaches as well as univariate extreme event detection methods. Our results therefore provide an effective workflow to automatically detect anomalies in Earth system science data.
Influence of CSH carbonation on the porosity of cement paste

Thermogravimetric analysis and mercury intrusion porosimetry were used to determine the relationship between cement paste porosity and calcium silicate hydrate (CSH) carbonation during the carbonation process. A method that is not based on the chemical formula of CSH was developed to calculate porosity variation during CSH carbonation. This method is based on the variation of calcium hydrate volume and total volume to obtain the CSH volume variation during carbonation, as well as the porosity variation caused by CSH carbonation. The CSH carbonation results showed that the main factor in the variation of paste porosity was CSH carbonation, which accounted for more than 70% of the total porosity variation. A transition point was observed on the CSH volume variation curve. CSH generated calcium carbonate during the early carbonation process, at which a volume expansion also occurred. The volume shrinkage and calcium carbonate content reached maximum when the carbonation process was completed.
Synthesis of CsH and its effect on the hydrogen storage properties of the Mg(NH2)2 2LiH system

Cesium hydride (CsH) was successfully synthesized by ball milling Cs under a hydrogen atmosphere of 50 bar at 50 degC. The effect of the prepared CsH on the hydrogen storage properties of the Mg(NH 2 2 2LiH system was systematically investigated. The Mg(NH 2 2 2LiH 0.08CsH composite exhibited optimal hydrogen storage properties because it reversibly stores approximately 4.62 wt% hydrogen with a dehydrogenation onset temperature of 70 degC via a two stage reaction. At 150 degC, approximately 80% of the reversible capacity was quickly released from the Mg(NH 2 2 2LiH 0.08CsH composite within 100 min. The fully dehydrogenated CsH containing sample began to absorb hydrogen at 55 degC and took up approximately 4.58 wt% hydrogen at 130 degC. A cycling analysis indicated that the CsH containing Mg(NH 2 2 2LiH system exhibited good reversible hydrogen storage abilities. Detailed mechanistic studies revealed that during the initial heating process, CsH gradually reacted with Mg(NH 2 2 to afford CsMg(NH)(NH 2 and CsH acted as a catalyst to reduce the activation energy barrier of the first dehydrogenation step. As the operating temperature increased, CsMg(NH)(NH 2 as a reactant participated in a second dehydrogenation step to decrease the desorption enthalpy change. This behavior reasonably explains the significantly improved hydrogen storage properties of the CsH containing Mg(NH 2 2 2LiH system.
Effects of water level and grassland management on alpha and beta diversity of birds in restored wetlands

Nearly 60% of European wetlands have been lost to drainage or to the cessation of grassland management. Large amounts of resources are put into wetland restoration with the aim to recover biodiversity. However, few studies have simultaneously evaluated effects of management, wetness and flooding dynamics on biodiversity of restored wetlands such as seasonally flooded wet grasslands. We inventoried bird communities over 4 years at 137 sites (each 3*1 ha) within five restored wet grassland areas in Sweden to investigate whether species richness and occurrence of 12 common wet grassland species were related to (i) local conditions such as management (grazing, mowing and unmanaged areas) basic wetness and spring flooding dynamics. Further, we investigated whether (ii) the composition of the adjacent landscape (20 ha) related to local bird diversity and (iii) species turnover (i.e. beta diversity) differed between sites characterized by their basic wetness, degree of flooding and predominant management regime. Local species richness was positively linked to degree of flooding and basic wetness of grasslands but not to type of grassland management. Species richness tended also to be negatively linked to proportion of forest at the landscape scale. Although variable, the same results were also true concerning the probability of the occurrence of a single species at the local scale. Species turnover between sites, and thus total species richness, was distinctly higher in (i) grazed as compared to mowed grasslands except in dry non flooded grasslands and (ii) flooded as compared to non flooded sites. Similar patterns held for the subset of 12 red listed species. We suggest that the high beta diversity in grazed and flooded grasslands is driven by the heterogeneous vegetation structure, resulting in good conditions for foraging and nesting for several wet grassland bird species. Synthesis and applications. The selection of wetlands for conserving wet grassland birds should prioritize temporary flooded grasslands of moderate wetness, preferably far from forest edges. Restoration and management of wet grasslands should include water level management, removal of shrubs and trees, and low intensity grazing, whereas mowing could be used in non flooded grasslands of low basic wetness.