Reviewerly/exHarmony huggingface dataset:
Analysis of Telecollaborative Exchanges among Secondary Education Students: Communication Strategies and Negotiation of Meaning

espanolEste estudio presenta el analisis de un corpus de 12 interacciones telecolaborativas grabadas en video entre estudiantes britanicos y espanoles de educacion secundaria durante un proyecto telecolaborativo financiado por la Comision Europea. El principal objetivo es analizar la negociacion de significado en estos intercambios, que son percibidos en la literatura como una senal significativa de interaccion. Es esencial estudiar ocasiones de telecolaboracion para identificar las posibles potencialidades en la adquisicion de competencias comunicativas e interculturales. El modelo de Interaccion Negociada Mediada por Ordenador de Smith (2005), basado en Varonis y Gass (1985), se emplea para analizar las interacciones por video entre los estudiantes espanoles y britanicos para observar como manejan errores linguisticos u otro tipo de errores de comunicacion durante interaciones sincronicas entre iguales. Los resultados muestran que los alumnus emplean una amplia variedad de estrategias de negociacion del significado, evitando correcciones explicitas a no ser que resulte absolutamente necesario con el fin de no interrumpir la comunicacion. Tambien se observo destreza en tecnicas de correccion y de resolucion de problemas de comunicacion. Estas estrategias indujeron interacciones fluidas y eficiencia en la finalizacion de tareas. Se percibio que los alumnos enseguida estaban preparados para tomar la iniciativa a la hora de afrontar la negociacion de significado, correccion y recibieron apoyo, tareas que son normalmente llevadas a cabo por los profesores en ambitos mas tradicionales. EnglishThis study presents the analysis of a corpus of 12 telecollaborative interactions, recorded on video, between British and Spanish secondary education students during a telecollaborative project funded by the European Commission. The main aim is to analyse negotiation of meaning in these telecollaboration exchanges which are perceived in the literature as a sign of meaningful interaction. It is essential to study instances of telecollaboration in order to identify the possible affordances in the acquisition of communicative and intercultural competences. Smith’s (2005) Model of Computer-Mediated Negotiated Interaction based on Varonis and Gass (1985) is employed to analyse the video interactions between Spanish and English students to find how learners deal with linguistic mistakes or any other type of communication problem during synchronous peer interaction. The results show that students employ a wide variety of strategies to negotiate meaning, while avoiding overt correction unless it is absolutely necessary to avoid communication breaking down. Skilful use of corrective techniques and resolving communication problems was also observed. These strategies led to fluid interactions and efficient task completion. Students were seen to readily take the initiative when tackling negotiation of meaning and correction and were provided scaffolding, a task that is normally carried out by teachers in more traditional settings.
University of Education, Winneba Productivity and Efficiency: A Data Envelopment Analysis Exploration, Ghana

IntroductionThe University of Education, Winneba (UEW)a fully Government of Ghana (GOG) owned public HEI had been under intense pressure to provide its services as efficiently as possible, whilst undergoing huge changes in its size and structure since its inception in 1992.In an environment of expanding student numbers it is important to understand as well the cost structures that underpin provision of these outputs and the potential for UEW improved productivity and efficiency.Unfortunately there has not been any empirical study of UEW productivity and efficiency all because it is perceived as a publicly (GOG owned) HEI.As economic theory suggests, competitive pressure will affect the organisational efficiency of a firm's production processes by forcing profit-maximising firms to strive constantly to produce more efficiently.In the context of UEW the argument that such market-like mechanisms can be applied with equal force might not hold true for at least three reasons: The UEW is completely publicly (GOG) financed and controlled;  And because the UEW is a non-profit entity, the 'market-driven' cost-minimisation assumption for production might not be its primary behavioural objective; and  In the publicly (GOG) owned HEIs market in Ghana, price information of inputs and outputs are most times difficult to obtain.To overcome this deficiency and demonstrate that the UEW productivity and efficiency measurement as a public HEI could be empirically analysed is what this paper seeks to undertake.In evaluating the UEW productivity and efficiency, its multiproduct nature as HEI is acknowledged.The paper unfolds.The next section deals with the background of UEW, followed by the data and methodology sections.The description of the variables section follows.The penultimate section presents the empirical estimates and the discussion and the last section concludes the paper.
Blended Formula Four Di (4D) with Actor Network Theory to Increases the Outcome of Literacy Culture

The purpose of this research is to evaluate the effectiveness of the Blended Formula Four Di (4D) with Actor Network Theory in increasing the outcome of literacy culture is a case study that involves all school members. The obtained data were analysed by using qualitative descriptive methods. The analysis results inform that the Blended Formula Four Di (4D) with Actor Network Theory has proven to be effective in improving the outcome of literacy culture in schools. The application of "Blended Formula Four Di (4D) with Actor Network Theory to Increases The Outcome of Literacy Culture" is also able to improve literacy culture in SMAN 1 Ngimbang with indicators (1) increasing the number of visitors and borrowers in the library, (2) increasing the writing of the school residents, and (3) becoming the winner of the library competition.
Nebengin: Android-based Collaborative Transportation Application

Online transportation services are transportation services that take advantage of advances in information technology. In Indonesia, several online transportation service providers have grown, such as Gojek, Grab and several other startup startups. In addition to the many benefits and conveniences that have been provided, the service price factor is still felt expensive for the community, especially the lower classes. One solution is to build a Collaborative Transportation Application that utilizes the Collaborative Transportation Management (CTM) interaction method. The main features contained in the application, namely the feature of finding driver routes in the direction of the consumer route, online chat, and route management by utilizing the Android mobile application based on Google Map API and Firebase Cloud Messaging. Performance testing using JMeter from a total of 300 virtual users performs 6 HTTP requests resulting in an average response time of 0.852 alias tolerated according to Apdex standards. Based on the results of testing of 15 respondents obtained the results that this application is easy to use, supports traveling activities, fast response time when used, features provided are quite complete, an accurate position tracking system, unidirectional route search is very compatible with consumer routes, and the process of coordination and driver collaboration is very good so that the travel costs borne by consumers become more economical..
Knowledge Management by Extended Dimensional Expression of Physical Quantity and SemiStructured Contradiction Matrix

There always be needs to establish efficient usage of large knowledge database to solve problems. TRIZ was invented by Genrikh Saulovich Altshuller in Soviet around 1980s. TRIZ is characterized by its classification of problems according to the contradiction of improving and worsening parameters and its Contradiction Matrix to find Invention Principles. However, TRIZ parameters are not mutually exclusive and some people may choose different parameter for same problems. Previous research shows a physical-quantity-based semistructured contradiction matrix to improve TRIZ system by using physical quantities as independent parameters and physical dimensional relationships to calculate similarity and search for similar problems. However, people may choose different physical quantity for same problem and the system can handle a problem only if it can be expressed by physical quantity. This research shows some potential solution for the problems of previous research and suggests more precise system.
The Study of Failure Mode Prediction Using Failure-causal Bayesian Network

The diagnosis system which predicts failure mode of industrial machines is being developed for maintenance service. The conventional data-driven diagnosis required much failure data. But it is much time-consuming and costly to collect failure data because of very fewer failed machines than normal machines. Thus, the failure-causal Bayesian network is presented which utilizes engineer's knowledge on failures instead of failure data to predict failure mode. While the failure-causal Bayesian network is the model which incorporates causal relationships into Bayesian network. This model can be improved gradually using machine learning algorithms as more failure data is collected.The failure-causal Bayesian network was prototyped for demonstration to predict failure modes of viper-compression refrigerator from only failure knowledge. A viper-compression refrigerator was adopted as first prototype because failure knowledge about viper-compression refrigerator was reported by ASHRAE and it facilitated the modeling of failure-causal Bayesian network. Consequently, it looks promising with the feasibility verification of failure-causal Bayesian network and its achievement of the diagnosis system.
How to Development E-Learning Model of Data Base System

This study aims to develop products in the form of teaching materials database system subjects with the application of e-learning. The research method used is the R&amp;D method. The results of the formative one-to-one learner evaluation were carried out between the developer and three individual students. Tech reading in learning materials in information and communication technology courses is very clear and can be read by students well. The quality of the images displayed in the learning material and e-learning is very good and in accordance with the material content of clarity of basic competencies to be achieved and indicators of material presentation on learning materials and e-learning programs in the Database Systems course have been very good and easily understood by students.
LibGuides: Library Access Browser Extension: How to temporarily disable / remove the browser?

To have quick and simple access to all of USEK Library’s digital content use the Library Access Browser Extension
Comparable study of convolutional neural networks in classification and feature extraction applications

Convolutional neural networks (CNNs) become very useful tools in classification and feature extraction applications. In this research, we present a comparable study of several commonly-used CNNs in terms of performance. Most recently developed CNNs are selected in our study, which include NASNet-Large, Inception-Resnet-v2, DenseNet201, NASNet- Mobile, MovileNet-v2 as well as well-known ResNet50 and VGG19 for comparisons. In our classification experiments there are eight different geometrical shapes, each of which includes 486 to 620 computer-generated images. Two basic shapes, triangle and square, vary with solid or hollow shapes, and then overlapping with or without three-disk distractors. CNNs training and testing both can use the shape images as the experiments conducted on the ImageNet. On the other hand, we can use the pretrained CNNs on ImageNet to extract features, then train a multiclass support vector machine (SVM) to do classification. Training images may include four shapes or two categories (solid or hollow), while testing images are four shapes or two categories with distractors. The performance of CNNs includes classification accuracies and time costs in training and testing. The experimental results will provide guidance in selecting CNN models.
Extended retinex and optimized image sharpening for hidden detail uncovering, visual range improvement, and image enhancement

Camera images often contain more information than the human eye can notice. Despite numerous influences degrading image quality, there is potentially some information present or there are at least traces in the image data which would be interesting to be examined but which are below a recognition threshold. And quite often hard to see information needs to be extracted from degraded images or image parts. This paper focuses on making such information visible. First, a novel dedicated retinex algorithm uncovers hidden details due to low contrast. Unlike other retinex variants, it does not only improve the contrast in dark image regions but at any grayvalue or color level. Additionally, it avoids halo effects to a high degree. Second, a dedicated image sharpening method uncovers hidden details due to blurring or haziness and clarifies washed-out details. In comparison to known methods this is done more effectively while image noise and compression artifacts are significantly less increased. Both proposed image enhancement methods are easy to implement. The given results show them to be powerful to uncover image details and to increase the amount of obtained visualized information, which eventually improves the visual range of the camera.
Establishing the validity and reliability of Kuwait resources of nation branding model

To transform the economy of a nation and develop a strong national brand performance, various resources are needed and must be managed by the government to ensure that strong nation brand performance. This study is aimed at developing and assessing the validity and reliability of a model for the measurement of the perception of Kuwaiti businesspersons toward the implementation of nation branding management in Kuwait. A questionnaire is utilised for data collection and is distributed to a sample of 72 Kuwaiti business persons using the snowball technique. The reliability of all measures was confirmed using the results of alpha test (α > 0.7) with minimum value of 0.835. For convergent reliability, AVE had higher values than the recommended threshold of ≥ 0.5 with minimum value of 0.513 and CR values > 0.6. The study found that the proposed KRNB model is valid as well as reliable.
An Overview of Ontology Learning Process from Arabic Text

Ontology learning (OL) Plays an important role in many fields such as semantic web, Data Integration and Interoperability, Machine Translation, and Information Retrieval. The success of any of these fields depends on the quality of its ontologies. This paper presents a comprehensive survey of research on the Ontology Learning for Arabic texts. Most of the previous works focused on three main issues: extracting the terms, extracting the semantic relations, and building the ontology from the Arabic text. There are more of techniques and methods can be used for this process. In this paper, first we present the Arabic challenges that were reasons for developing few Arabic Ontology Learning systems. Second we make a research comparison based on the techniques used and their results. Third, we pointed limitations and comments of research works on Arabic Ontology Learning. Finally, we concluded the paper and outlined our future research direction in this area.
Developoment of Automatic Extraction Technology of Causal Model from Trouble Information

We are developing an automatic generation technology of fault tree for supporting utilization of trouble information at design stage. It aims to prevent the recurrence of trouble. As the elemental technology, we developed an automatic extraction technology of causal model from trouble information. The causal model is a modeling of the physical causal relationship leading up to the fault to improve reusability of it. We showed that causal models could be extracted from NUSIA and fault trees could be generated from the causal models by using an automatic generation technology of fault tree.
Water Loss Dependence on the Change in Permeability Coefficient of the Bottom and the Side Walls of the Channel

The problem solution is constructed for the homogeneous case of the co-efficient of permeability. In the case of a variable concentration obtained by changing the salt content, neutral representations are obtained that allow us to determine the main hydrodynamic parameters of the filtration process.
CUSTOMER PERCEPTION ON TECHNOLOGICAL SERVICE EFFECTIVENESS OF ONLINE CLOTHING WEBSITES

Increased online access and smart phone penetration has led a way in development of e-commerce market of different industries. Among the various industries, fashion e-commerce is one of the global markets which are expanding out from western parts of the world. According to the research data presented by shopifyplus, the worldwide revenue and revenue per user among e-commerce clothing segment are projected to grow from $317 billion (USD) in the year 2018 to $475 billion (USD) in 2022. Influence of Consumer perception develops the performance of a business. This research was conducted in Coimbatore city among youth customer segment and reveals the customer perception on four identified e-commerce websites namely, Jabong, Myntra, Shein and Peach mode. The important purpose of the study is to analyze the customer perception towards technological services offered by the service providers. It has recommended that technologies such as Augmented Reality, Payment Gateways, Personalization, Fit Intelligence applications plays a major role in creating better experience among consumers with ease of use. This Study helps the clothing e-commerce industry to remodel their promotion effectiveness and thereby clinching brand reputation.
PSYCHOLOGICAL STRUCTURE OF PERSONAL RELIABILITY OF SUBJECTS OF ENTREPRENEURIAL ACTIVITY

The article is devoted to research of psychological structure of personal reliability of subjects of entrepreneurial activity.The purpose of the article is to highlight and substantiate the results of empirical research of the psychological structure of personal reliability in business entities.Personality reliability of subjects of entrepreneurial activity includes moral and legal and pro-social, humanistic-oriented values that correspond to the ethics of the chosen professional activities and provide for the recognition of social significance and personal responsibility for the results of entrepreneurial activity.The structure of individual psychological peculiarities of subjects of entrepreneurial activity with different levels of personal reliability is determined.The results of correlation, factor analysis of individual psychological peculiarities of entrepreneurs, which determine the level of personal reliability of subjects of entrepreneurial activity, are presented.A typology of personal reliability (axiological, proactive, prosocial, praxeological, synergetic, and innovative) is also proposed.
Inducing visibility and visual deduction

Scientists use diagrams not just to visualize objects and relations in their fields, both empirical and theoretical, but to reason with them as tools of their science. While the two dimensional space of diagrams might seem restrictive, scientific diagrams can depict many more than two elements, can be used to visualise the same materials in myriad different ways, and can be constructed in a considerable variety of forms. This paper takes up two generic puzzles about 2D visualizations. First: How do scientists in different communities use 2D spaces to depict materials which are not fundamentally spatial? This prompts the distinction between diagrams that operate in different kinds of spaces: ‘real’, ‘ideal’, and ‘artificial’. And second: How do diagrams, in these different usages of 2D space, support various kinds of visual reasoning that cross over between inductive and deductive? The argument links the representational form and content of a diagram (its vocabulary and grammar) with the kinds of inferential and manipulative reasoning that are afforded, and constrained, by scientists’ different usages of 2D space.
PENGGUNAAN MODEL PEMBELAJARAN NUMBERED HEADS TOGETHER NHT UNTUK MENINGKATKAN HASIL BELAJAR BAHASA INGGRIS SISWA PADA MATERI TEKS ANALYTICAL EXPOSITION KELAS XI IPS 2 SMA NEGERI 14 PEKANBARU TAHUN PELAJARAN 2015-2016

This research was expected to provide benefits for: (1) For learners easier to understand and master English materials with Numbered Heads Together (NHT). (2) The results of this study are expected to provide input to teachers the importance of used NHT Learning Model to improve English learning outcomes. (3) The results of this study were expected to find out the learners' learning outcomes of English subjects delivered used NHT. This research took place in XI IPS 2 class SMAN 14 Pekanbaru Jl. Tengku Bey/Sei. Mintan I. The instrument of this study consists of observation sheet and tests. This study was a classroom action research consisting of four stages namely, planning, action, observation, and reflection. From the results of the study that the initial data was known that the students complete only 15 students with percentage of 42.86% while the student was not complete as many as 20 students with percentage of 57.14%. With an average student score of 74.49. On the completeness of student scores on the first cycle students expressed complete only as many as 24 students with percentage 85.71%. While the students who do not complete as many as 11 students with a percentage of 31.43% with an average student score of 81.94. In this case from the number of students mastery expectations have not been achieved from the number of students as much as 70% of the number of students. On the completeness of student scores on the second cycle of students who expressed thoroughly only as many as 35 students with 100% percentage. While there are no students who were not complete with an average student score of 89.91. In this case from the number of students' mastery expectation had been achieved from 70% of the total number of students as 35 students expressed thoroughly so that in this case there was no need to take action back in the following cycle or research conducted only two cycles