Reviewerly/exHarmony huggingface dataset:
Comparison of Learning Method Effectiveness Between Jigsaw and Team Game Tournament on Achievement and Interpersonal Relationship Skill in Nursing Freshmen

Introduction: Evaluation results every semester about biochemical obtained by students the average value below 50. Cooperative learning method jigsaw and team game tournament (TGT) were an alternative learning method that can improved student learning outcomes. The purpose of this research was to understand the effectiveness of applied of jigsaw learning method compared to TGT to interpersonal relationship skill and achievement. Methods: This research used pre-experiment with research design Pretest-Posttest Comparison Group Design. Target population was all nursing students in two nursing institutions in Surabaya. Sample size were 208 chosen by total sampling. Independent variables were jigsaw and TGT and dependent variables were interpersonal relationship skill and achievement. Study instruments were interpersonal relationship skill questionnaire and objective test. Data analysis uses paired t test with α ≤ 0.05, prior normality test will be conducted. Results: Most respondents were 19 years old, single, female and lived with their parents. There was different result in student achievement between TGT and Jigsaw method (p = 0,005), TGT mean rank was 97,89 than jigsaw was 76,52. There was no different interpersonal relationship ability between TGT and jigsaw method (p = 0,263). Conclusions: TGT more effective than jigsaw to increase student learning achievement in biochemical. Those method has not different for student interpersonal relationship ability, because the student has been in good criteria for interpersonal relationship ability. Further implementation could be broad, other object in nursing could be the target, difficult subject would be underlined.
An Adaptive Strategy for Tuning Duplicate Trails in SAT Solvers

In mainstream conflict driven clause learning (CDCL) solvers, because of frequent restarts and phase saving, there exists a large proportion of duplicate assignment trails before and after restarts, resulting in unnecessary time wastage during solving. This paper proposes a new strategy—identifying those duplicate assignments trails and dealing with them by changing the sort order. This approach’s performance is compared with that of the Luby static restart scheme and a dynamic Glucose-restart strategy. We show that the number of solved instances is increased by 3.2% and 4.6%. We also make a compassion with the MapleCOMSPS solver by testing against application benchmarks from the SAT Competitions 2015 to 2017. These empirical results provide further evidence of the benefits of the proposed heuristic, having the advantage of managing duplicate assignments trails and choosing appropriate decision variables adaptively.
Common Types Of Crime And Deviance Among University Students In Kenya. The Case Of Njoro Campus Of Egerton University

The study aimed at exploring the common types of crime and deviance among university students in Kenya, the case of Njoro Campus, Egerton University.A sample of 67 undergraduate students was drawn from eight (8) faculties at various levels of academics.The study found that theft and drug and alcohol abuse were the most common crimes while sexual immorality was the most common type of deviance action committed by students.The study concluded that opportunity crimes and deviance were the most rampant in Njoro Campus of Egerton University.Such crimes and deviance are facilitated by the presence of suitable targets, presence of motivated offenders and absence of capable guardians to guard against actions of crime and deviance.The study recommended that the problem of crime and deviance is real in the university and stern measures need to be taken by the university management to get the situation under control and reduce levels of crime and deviance for a more tolerable environment for all students.The study also recommended that thorough investigations should be done on cases of crime and deviance and those found guilty punished accordingly.The security department should work closely with Njoro Police Station especially on serious offences committed both inside and outside the university space such as external drug peddling.This is to serve a stern warning to any other students who may wish to commit such a crime.
Named Entity Recognition in Biomedical Domain: A Survey

Named Entity Recognition plays an important role in locating and classifying atomic elements into predefined categories such as person names, locations, organizations, expression of times, temporal expressions etc. Named entity recognition is also called as entity chunking, entity identification and entity extraction.It is a subtask of information extraction, where the structured text is extracted from unstructured text.Named Entity Recognition (NER) is one of the major tasks in Natural Language Processing (NLP).NER has been an active area of research for the past twenty years.An ability to automatically perform NER i.e., identify occurrences of NE in Web contents can have multiple benefits, such as improving the expressiveness of queries and also improving the quality of the search results.A number of factors make building highly accurate NER a challenging task.Though a lot of progress has been made in detecting named entities, NER still remains a big problem at large.In this paper, we explore various methods that are applied to solve NER in the biomedical domain.
Levels of formation of gnostic-technological competence of future speech therapist to work in the conditions of inclusive education

We described the levels of formation of the gnostic-technological competence of future special teachers to work in inclusive education, using the method of questioning and analysis. A special educator must have the necessary level of professional competence for successful introduction into practice of various innovations, realization in the conditions of inclusion of the tasks. Specialist should have knowledge about the features of organization and work in inclusive education; he/she can creatively apply knowledge in organizing the interaction of all participants in educational and correctional work; to create a development environment in an inclusive educational institution, etc.The authors highlighted the criterion of the gnostic-technological competence of future speech therapists to work in an inclusive educational institution and indicators for it: the meaningfulness of theoretical and technological knowledge about the features of the organization and work in inclusive education; creativity of technological knowledge and creative approach in organizing the interaction of all participants in educational and remedial work; creating a developing environment in an inclusive educational institution. We have distinguished the gnostic-deontological criterion, because the speech therapist should take into account the management, regulation of various mental conditions of the child with peculiarities of psychophysical development, correction of its defects in the interaction of "special pedagogue - child". Interaction with the child should not complicate his/her cognitive and educational activities with inclusive education. The child's health status depends on the educational and emotional load.To carry out the experimental work, we have developed experimental tasks for selected criteria indicators in order to ascertain the level of formation of the gnostic-technological competence of future special teachers to work in inclusive educational institutions. For each task, a rating scale is formed
Review of software applications for agricultural production in Croatia

The application of mobile devices (smartphones, tablets, etc.) to the agriculture sector has been greatly increased in the last decade. The ICT technologies have become an essential part of any business. Using Internet on mobile devices can prove to be essential in agriculture production. A new generation of mobile devices are lower in price and more user-friendly. This paper provides an overview of software applications that are created in Croatia and are mostly in the Croatian language. They are divided into groups of agriculture related applications; agriculture management information apps; agriculture information resource apps; agriculture calculator apps; agriculture news apps, weather apps. The research shows the agri-apps are still in its infancy and we can say that it reflects the state of agriculture in Croatia. Apps are a promising solution for farmers enabling them quick and trustworthy access to information. At the moment, further analyses are needed for scientific proof and improvement of a product
Innovative Technologies in Entrepreneurship Education: The Case of European and Asian Countries

The use of the outdated methods and technologies that do not meet the requirements to a modern specialist in the labor market is one of the most urgent problems of modern education. The purpose of the research is to describe the current condition of the Russian entrepreneurship education in terms of the use of innovative technologies. Besides, the research is aimed at identifying the deficiencies of their implementation process that can lead to the students’ dissatisfaction with learning process and to the lack of their readiness for professional activity. The authors surveyed 210 four-year students of the following universities: Elabuga Institute of Kazan Federal University, I.N. Ulianov Chuvash State University and Mari State University (The Russian Federation). The purpose of the research is to evaluate to effectiveness of the innovative methods that have been introduced into education program of four-year students, to identify their deficiencies that can somehow influence the students’ readiness for professional (in our case, entrepreneurial) activity.The students demonstrated general dissatisfaction with the influence of innovative technologies in universities upon education quality. They mentioned a lack of innovative methods that have been applied in practice, the insufficient technical facilities of the classrooms. Besides, it has been identified that the change in the requirements to education on the part of economic sector of labor market led to the students’ dissatisfaction with their professional skills. The result of the research can influence the innovative transformations in education in the following specialties: “Enterprise and Organization Economics”, “Entrepreneurship”, “Economics. International business”. As a result of the research, the recommendations have been formulated that can be realized by virtue of the joint work of local authorities, administration of universities and teaching staff. It is recommended to modernize the technical facilities of universities (computer classrooms, the use interactive boards). Besides, introduction of innovative methods is very important, because they will significantly increase the students’ readiness for practical activity. Such methods include case-technologies, “round tables”, seminars in a form of debates. The list of the subjects at each faculty needs certain revision. More innovative disciplines must be introduced that directly relate to the students’ professional activity with the emphasis upon practice.
Contention-aware prediction for performance impact of task co-running in multicore computers

Abstract In this paper, we investigate the influential factors that impact on the performance when the tasks are co-running on a multicore computers. Further, we propose the machine learning-based prediction framework to predict the performance of the co-running tasks. In particular, two prediction frameworks are developed for two types of task in our model: repetitive tasks (i.e., the tasks that arrive at the system repetitively) and new tasks (i.e., the task that are submitted to the system the first time). The difference between which is that we have the historical running information of the repetitive tasks while we do not have the prior knowledge about new tasks. Given the limited information of the new tasks, an online prediction framework is developed to predict the performance of co-running new tasks by sampling the performance events on the fly for a short period and then feeding the sampled results to the prediction framework. We conducted extensive experiments with the SPEC2006 benchmark suite to compare the effectiveness of different machine learning methods considered in this paper. The results show that our prediction model can achieve the accuracy of 99.38% and 87.18% for repetitive tasks and new tasks, respectively.
Edge enhancement of IBP reconstruction by using sharp infinite symmetrical exponential filter

This study contributes to provide an enhancement technique for improving the Iterative Back Projection (IBP) Super Resolution technique by using the Sharp Infinite Symmetrical Filter (SISEF). Theoretically, the IBP technique operates as minimizer the error reconstruction iteratively until it refined the High Resolution (HR) image. However, due to iterative manner and lack of edge guidance during the back projection operation, this technique has suffered from produced the ringing artefact on the HR image appearances. Additionally, the IBP reconstruction also demands for large number iteration for accomplishing the prediction HR image. This problem arose when the IBP estimator tended to oscillate at the same solution frequently. In order to overcome these constraints, the SISEF is deployed as regulator to improve the IBP estimator with provides an accurate edge information for enhancing the edge image and reduce the ringing artefacts. Fortunately, highly precision of edge information provided by SISEF capable to reduce amount of estimation process repetition.
A Framework for Analytical Approaches to Combine Interpretable Models

Analytic approaches to combine interpretable models, although presented in different contexts, can be generalized to highlight the components that can be specialized. We propose a framework that structures the combination process, formalizes the problems that can be solved in alternative ways and evaluates the combined models based on their predictive ability to replace the base ones, without loss of interpretability. The framework is illustrated with a case study using data from the University of Porto, Portugal, where experiments were carried out. The results show that grouping base models by scientific areas, ordering by the number of variables and intersecting their underlying rules creates conditions for the combined models to outperform them.
Storage Area Network Architecture to support the Flexibility of Digital Evidence Storage

Cybercrime is a criminal activity that utilizes computers and the internet as a media in committing its crimes.In solving the case of cybercrime, it is useful with the help of digital forensics.The critical component in digital forensics is electronic evidence that has a physical form and digital evidence that has form in the binary file.Both types of evidence require handling in the storage process with different treatments.In this case, physical evidence of physical nature will be stored in the evidence room while digital evidence will be stored in evidence storage.The solution that has existed so far is through the mechanism of storing digital evidence stored in evidence storage based on internal storage with limited accessibility to one device.It causes inflexibility and effectiveness to support collaborative efforts between officers and law enforcement in the process of investigating and handling digital evidence.This research is to develop previous research on digital evidence storage and handling systems.This paper presents a solution for centralized and networkbased digital evidence storage architecture to address the weaknesses of previously available solutions.Flexibility repositories based on SAN (Storage Area Network) and webbased technology are used as network-based centralized storage architectures.The system is expected to help between law enforcement in terms of chain of custody management for digital evidence.
Publisher Correction: Understanding dynamic friction through spontaneously evolving laboratory earthquakes

The HTML version of this Article incorrectly omits Supplementary Movie 1. Supplementary Movie 1 can be found as Supplementary Information associated with this Correction.
Development of intuition in a new currency, the Euro: The Slovak experience

Adaptation to an unfamiliar currency is required regularly of international travellers – and also of citizens of countries changing their currency, such as the 19 (to date) Eurozone members. We report on the currency adaptation process in the Slovak Republic during 2008-2011. We analyse its effects on citizens’ development of price intuition in the euro. Our study draws on Hofmann et al.’s (2007) work, which proposed four different strategies for coping, ranging from direct numerical conversion to developing intuition. We conducted repeated cross-sectional surveys using structured questionnaires in realistic Slovak settings. We describe European and Slovak institutions’ supports for the public, such as dual display of prices, and readily available conversion tables. We found that, whereas the numerical conversion strategy was used most frequently by respondents in the first year, within two years they were already developing intuition in the new currency, especially for frequently bought products. We also investigated the ‘Euro Illusion’, the extent to which Slovak citizens, in their evaluation of prices, may have been influenced to make decisions based on nominal values, whereby prices in euros seemed smaller than those in Slovak crowns. We summarise suggestions for promoting learning in situations of currency change, and briefly discuss the features of the Slovak process as a ‘numerate environment’.&#x0D; KeywordsPrice intuition; numeracy; learning; intuition strategy; marker value strategy; anchor strategy; numerical conversion strategy.
Dimensionality Reduction for Time Series Decoding and Forecasting Problems

The paper is devoted to the problem of decoding multiscaled time series and forecasting. The goal is to recover the dependence between an input signal and a target response. The proposed method allows receiving the predicted values not for the next timestamp but for the whole range of values in forecast horizon. The prediction is a multidimensional target vector instead of one timestamp point. We consider the linear model of partial least squares (PLS). The method finds the matrix of a joint description for the design matrix and the outcome matrix. The obtained latent space of the joint descriptions is low-dimensional. This leads to a simple, stable predictive model. We conducted computational experiments on the real dataset of energy consumption and electrocorticograms signals (ECoG). The experiments show significant reduction of the original spaces dimensionality, while the models achieve good prediction quality.
Norwegian Artist Names Authority List of Artists in Norwegian Art Collections

How can one best transform a paper-based publication into a living online resource? This is the theme of a project at The National Museum of Art, Architecture and Design in Norway, supported by the Arts Council Norway. The National Museum aims to create, publish and maintain an authority list of Norwegian artists, architects, designers and craftsmen. The objective is to ease the digitisation process for other museums, scholars and the public in general and contribute to better data quality in Norwegian online collections. The list will in part be based on the Norsk Kunstnerleksikon (Encyclopaedia of Norwegian Artists in English), published in 1982–1986 and subsequently digitised in 2013. With the help of other public collections in Norway, the purpose is to make the new resource as complete as possible and available in both human- and machine-readable formats. Although the original paper publication contains biographical texts as well as lists of exhibitions, education, travels, publications and more, the data in the new authority list will be constrained to a set of core biographical data. It will however carry references to online biographical resources such as Norsk Kunstnerleksikon (NKL), Wikidata, Union List of Artist Names (ULAN) and Virtual International Authority File (VIAF). This article discusses the process of defining the scope of and setting constraints for the list, how to enrich and reconcile existing data, as well as strategies to ensure that other institutions contribute both as content publishers and end users. It will also shed light on issues concerning keeping such a resource updated and maintained.
A fuzzy model of directional relationships from the phi-descriptor

Directional spatial relationships are a category of spatial relationships and have applications in the fields of image processing, geographic information systems, natural language processing, and robot navigation. They can be directly extracted from images or can be interpreted from a type of image descriptors called the relative position descriptors. Examples of relative position descriptors are the angle histogram, the force histogram, and the recently proposed phi-descriptor. So far, fuzzy models of directional spatial relationships from the angle histogram and force histograms have been proposed in the literature. These include the compatibility method, the aggregation method, and the method of effective forces. However, extraction of directional spatial relationships from the phi-descriptor has not been investigated. In this work, the first fuzzy model of directional spatial relationships from the phi-descriptor is presented. The model calculates the truth degree of a directional spatial proposition (e.g. object A is to the right of object B) about two objects from the average angle between the objects. Furthermore, it takes into account the angle which the argument object subtends the reference object when calculating the truth-degree. A novelty of the proposed model is the use of the cone concept in the calculation of the average direction and the handling of boundary cases. The model was tested on standard image data and the results were compared with those of the existing models. The performance is found to be satisfactory and the results meet users' perceptions and expectations.
KESALAHAN SINTAKSIS TULISAN MAHASISWA ASING PROGRAM STUDI PENDIDIKAN BAHASA INDONESIA UNIVERSITAS BINA DARMA

Study has objectives, (1) describe the mistakes in the language in the field of syntax in the essay writing of foreign students in the regular class, and (2) describe the analysis of the mistakes in the language in the field of syntax in the essay writing of foreign students in the regular class in Bina Darma University. This research is a descriptive qualitative research. Sources of data in this study iswriting of foreign students in the regular class in UBD. The data is a form of language errors in the essay writting. Analyzed using a unified method and agih. Results can be divided into nine aspects, there are (1) sentence structure not standard, (2) sentence is ambiguous, (3) sentence is unclear, (4) diction is not appropriate in forming sentences, (5) contamination sentence, (6) coherence, (7) word redundant, (8) the word uptake used in a sentence, and (9) logic sentence.