Reviewerly/exHarmony huggingface dataset:
ENHANCING STUDENTS’ ENGLISH ABILITY BY USING REALIA

Abstract: The aim of the research is to know the strenghts and weaknesses of using realia. The reseacher used classroom action research. The research was conducted in two cycles. Each cycle consisted of four steps. They are planning, acting, observation, and reflecting. In collecting the data, the researcher used test, interview, and observation. In analyzing the data, the researcher used statistic descriptive. The research implementations showed that there was an improvement in students’ speaking ability after Realia implemented in the teaching and learning process, and the students showed better achievement in speaking ability. The strengths were the students become active in classroom, enthusiastic, excited and motivated in the class. The students give more attention to the lesson and they were attracted to do the exercise during teaching learning process. The students more focused to the lesson during the activity in teaching learning process. The activities of Realia is attracted the students’ motivation and interested to the students. The researcher found that that Realia make the class becomes conducive. Meanwhile the weaknesses of using realia are the student had a difficulties to speak something caused of the limited vocabularies and confused how to pronounce the word in English and it spends much time to prepare the media. Keywords :Realia, English ability, Enthusiastic Abstrak: Tujuan dari penelitian ini adalah untuk mengetahui kekuatan dan kelemahan menggunakan realia. Peneliti menggunakan penelitian tindakan kelas. Penelitian ini dilakukan dalam dua siklus. Setiap siklus terdiri dari empat langkah yaitu perencanaan, tindakan, observasi, dan refleksi. Dalam mengumpulkan data, peneliti menggunakan tes, wawancara, dan observasi. Dalam menganalisis data, peneliti menggunakan statistik deskriptif. Hasil penelitian menunjukkan bahwa ada peningkatan kemampuan berbicara siswa setelah Realia diimplementasikan dalam proses belajar mengajar, dan siswa menunjukkan prestasi yang lebih baik dalam kemampuan berbicara. Kekuatan menggunakan realia adalah siswa menjadi aktif di kelas, antusias, bersemangat dan termotivasi di kelas. Para siswa lebih memperhatikan pelajaran dan mereka tertarik untuk melakukan latihan selama proses belajar mengajar. Para siswa lebih fokus pada pelajaran selama kegiatan belajar mengajar. Kegiatan Realia menarik motivasi siswa dan tertarik kepada siswa. Peneliti menemukan bahwa Realia membuat kelas menjadi kondusif. Sementara itu, kelemahan menggunakan realia adalah siswa memiliki kosakata yang terbatas dan kesulitan dalam pengucapan bahasa Inggris dan menghabiskan banyak waktu untuk mempersiapkan media.Kata Kunci: Realia, Kemampuan Bahasa Inggris, Antusias
A method for reconstructing first-order arguments in natural language

This paper develops a new method for reconstructing arguments in natural language by combining the linguistic representation framework of Constructive Adpositional Grammars (CxAdGrams) with the argument classiﬁcation framework of the Periodic Table of Arguments (PTA). The method centers around the notion of ‘argumentative adpositional adtree’ (‘arg-adtree’). After an explanation of the two frameworks involved, the method is illustrated by providing the arg-adtrees of two concrete examples of so-called ‘ﬁrst-order arguments’. It is argued that the resulting ad-trees provide a theoretically informed and empirically reliable reconstruction of an argumentative text or discussion. As such, the method developed in this paper is especially suitable as a point of departure for developing instruments for computer-assisted argumentation analysis.
The robots are here

Do door-opening robodogs herald a new age of intelligent machines? Daniel Cossins separates the truth from the hype
Glorified Secure Search Schema Over Encrypted Secure Cloud Storage With a Hierarchical Clustering Computation

This chapter improves the SE scheme to grasp these contest difficulties. In the development, prototypical, hierarchical clustering technique is intended to lead additional search semantics with a supplementary feature of making the scheme to deal with the claim for reckless cipher text search in big-scale surroundings, such situations where there is a huge amount of data. Least relevance of threshold is considered for clustering the cloud document with hierarchical approach, and it divides the clusters into sub-clusters until the last cluster is reached. This method may affect the linear computational complexity versus the exponential growth of group of documents. To authenticate the validity for search, minimum hash sub tree is also implemented. This chapter focuses on fetching of cloud data of a subcontracted encrypted information deprived of loss of idea and of security and privacy by transmission attribute key to the information. In the next level, the typical is improved with a multilevel conviction privacy preserving scheme.
Reclaiming Technology

In the transition from World War II to the Cold War, military innovations were domesticated and repurposed for civilian, scientific, and cultural advancement. Information theory is one such discourse—birthed from Shannon’s wartime cryptography work at Bell Labs—that burgeoned outward in a series of connected, interdisciplinary spirals in the 1950s. The WDR studio was a locale where wartime “technology” (defined broadly to include ideas) was reclaimed for cultural gain. After the initial experiments of the early 1950s, composers found themselves hemmed in by technological limits and unhappy with the serial, pointillist music they had so far made. Enter Meyer-Eppler, a former Nazi communications researcher turned phonetics scientist and electronic music expert, whose information-theoretic teachings helped composers solve their problems in several ways: to understand when their music had been too information dense; to incorporate gestures, approximations, and perceptible shapes; and to circumvent the technological limitations of the studio. The core concepts of information theory—perception, sampling and continuity, and probability—became the foundation for much mid-1950’s music from a range of composers in the studio and beyond. Working cooperatively, scientists, technicians, and composers participated in a process of culturally reclaiming information theory from its wartime origin, making it the conceptual foundation for 1950’s avant-garde music.
Overview of the Enterprise Architecture Framework

An enterprise architecture framework is really a statement of philosophy. It spells out what is important about how enterprise systems should be designed and built and how they should interoperate with one another. Like any philosophy, it is a means of organizing one’s thoughts about the task to be accomplished. The enterprise architecture framework is built on a foundation of model-based engineering. It relies on creating models that accurately capture the most important elements of the enterprise architecture in a format that enables automated analysis. It relies on carefully modeling what is needed to govern the enterprise and only those things; everything else is either completely extraneous or properly the domain of a solution architecture (i.e., an architecture for a specific system to be built).
Special Section on Multimodal Understanding of Social, Affective, and Subjective Attributes

Multimedia scientists have largely focused their research on the recognition of tangible properties of data such as objects and scenes. Recently, the field has started evolving toward the modeling of more complex properties. For example, the understanding of social, affective, and subjective attributes of visual data has attracted the attention of many research teams at the crossroads of computer vision, multimedia, and social sciences. These intangible attributes include, for example, visual beauty, video popularity, or user behavior. Multiple, diverse challenges arise when modeling such properties from multimedia data. The sections concern technical aspects such as reliable groundtruth collection, the effective learning of subjective properties, or the impact of context in subjective perception; see Refs. [2] and [3].
The Influence of leadership behaviour on employees’ job satisfaction and performance

Purpose : This study explored the influence of leadership behavioural factors on employees’ job satisfaction, and consequently on employees’ performance. Design/methodology/approach : Empowerment, Humility, Courage, Forbearance, Directive, Supportive and Participative are the key factors applied in this study as significant dimensions of leadership behaviours. Random samples of 78 participant managers were collected from a six manufacturing organizations in Dubai to be applied for the analysis of this study. The data needed to measure the hypotheses of the proposed conceptual methods were collected via the 5-point Likert scale structured questionnaire from top, middle and first line managers through survey questionnaires. SPSS statistics tool has been used to analyse the collected data and formulate and measure the proposed hypotheses using regression and correlation analyses. Findings: Results show that the five leadership behaviour’s dimensions were statistically significant and positively related with employee’s job satisfaction. Originality/Values: This study adds to the existing literature by shedding the light on the process by which the selected leadership behavioural factors enhance employees’ satisfactions and performance.
Windows Forensics Analysis

In July 2018, the market share of the Windows operating system (desktop version) range stood at 82.88%. This means that the majority of personal computers worldwide run using this operating system (using its different versions) (see Figure 7-1). Obviously, a world running on Windows computers certainly means that most of our digital forensic work involves investigating this type of OS; knowing how to find your way using Windows is a must for any digital forensics practitioner.
A Pareto optimal multi-objective optimisation for parallel dynamic programming algorithm applied in cognitive radio ad hoc networks

In this paper, we present a Pareto optimal multi-objective optimisation for parallel dynamic programming algorithm applied in cognitive radio ad hoc networks. To measure the performance of our contribution, we have used a multi-core architecture. The parallel version of the dynamic programming is implemented with the concept of Pareto. To select the most compromising solution from the Pareto front, Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is used in this paper. We have also implemented a meta-heuristic (cuckoo search) with the Pareto principle in order to validate our proposal. Our simulations approve the desired results, showing significant gain in terms of execution time. The main objective is to allow a cognitive engine to use an exact method and to have better results compared to the use of meta-heuristics while satisfying QoS parameters.
When a Repository Is Not Enough: Redesigning a Digital Ecosystem to Serve Scholarly Communication

INTRODUCTION Our library’s digital asset management system (DAMS) was no longer meeting digital asset management requirements or expanding scholarly communication needs. We formed a multiunit task force (TF) to (1) survey and identify existing and emerging institutional needs; (2) research available DAMS (open source and proprietary) and assess their potential fit; and (3) deploy software locally for in-depth testing and evaluation. DESCRIPTION OF PROGRAM We winnowed a field of 25 potential DAMS down to 5 for deployment and evaluation. The process included selection and identification of test collections and the creation of a multipart task based rubric based on library and campus needs assessments. Time constraints and DAMS deployment limitations prompted a move toward a new evaluation iteration: a shorter criteria-based rubric. LESSONS LEARNED We discovered that no single DAMS was “just right,” nor was any single DAMS a static product. Changing and expanding scholarly communication and digital needs could only be met by the more flexible approach offered by a multicomponent digital asset management ecosystem (DAME), described in this study. We encountered obstacles related to testing complex, rapidly evolving software available in a range of configurations and flavors (including tiers of vendor-hosted functionality) and time and capacity constraints curtailed in-depth testing. While we anticipate long-term benefits from “going further together” by including university-wide representation in the task force, there were trade-offs in distributing responsibilities and diffusing priorities. NEXT STEPS Shifts in scholarly communication at multiple levels—institutional, regional, consortial, national, and international—have already necessitated continual review and adjustment of our digital systems.
Self-Reference and Entanglement Network

One of the important concepts in logical studies is the self-reference, which often leads to semantic inconsistencies. In order to resolve this problem, the cyclical time process of self-reference is discussed in terms of computing machines. This approach provides an interconnection between matter and mind that may help to solve one of the important physics predicaments, namely, the cosmological constant problem. On the other hand, entanglement is often considered a natural phenomenon that is clearly distinguishable from classical theory. Moreover, entanglement has been shown to be an essential part of recent developments in quantum computing and quantum cryptography. In this paper, the entanglement swapping protocol is applied to four 2-level non-maximal states, and a new non-trivial class of non-maximal states that approximate the weakest link is examined numerically.
A Study on Job Satisfaction among Employees in Quick Service Restaurants

The study aims to evaluate the job satisfaction of employees at quick service restaurants, the fast growing outward appearance of hospitality industry. To accomplish this, a pragmatic study was conducted among 250 employees at national and international branded Quick Service Restaurants in Chennai. A methodical questionnaire was distributed among employees, data collected and a series of statistical test are done with SPSS (21.0) statistical tool. The study exhibits, job satisfaction among the employees at quick service restaurants is directly proportional to their remuneration, promotions and work opportunities. Employees on full time are more satisfied than the part time employees. Enhancement of personal satisfaction and periodic training for employees improves the job satisfaction.
PEMANFAATAN MEDIA WORD SQUARE DALAM PENGEMBANGAN LEMBAR KERJA SISWA (LKS) KOMPETENSI MENULIS PENUTUR ASING

Teaching materials is a thing that is needed by learners, especially foreign speakers who learn Indonesian. Teaching materials can also be used by Indonesian teachers to facilitate learning Indonesian language for foreign speakers. Teaching materials developed by researchers to facilitate the process of foreign speakers is LKS Bahasa Indonesia One of the teaching materials developed by researchers to facilitate the process of foreign speakers is LKS Indonesian Language people Foreign. LKS developed by researchers through this paper is LKS Writing Competency for Beginner BIPA Students. LKS developed by researchers based on word square learning model. Word square learning model is one of the contextual learning models that use media box answers. The problem in this research is how the needs of BIPA Beginner students and teachers in writing lessons that serve as learning materials development. The subject of this research is all BIPA students of Bina Darma University.
Sequential dimension reduction and clustering of mixed-type data

Clustering of a set of objects described by a mixture of continuous and categorical variables can be a challenging task. In the context of data reduction, an effective class of methods combine dimension reduction with clustering in the reduced space. In this paper, we review three approaches for sequential dimension reduction and clustering of mixed-type data. The first step of each approach involves the application of principal component analysis on a suitably transformed matrix. In the second step, a partitioning or hierarchical clustering algorithm is applied to the object scores in the reduced space. The common theoretical underpinnings of the three approaches are highlighted. The results of a benchmarking study show that sequential dimension reduction and clustering is an effective strategy, especially when categorical variables are more informative than continuous with regard to the underlying cluster structure. Strengths and limitations are also demonstrated on a real mixed-type dataset.
A formal framework-based K-Maude for modelling scalable software architectures

Dynamic software architecture (DySA) is one of the most important challenges and crucial problems for managing dynamically scalable software evolution. In this paper, we propose DySAL, a DySA specific modelling language, primarily based on interfaces, dealing with both evolution types: spatial reconfiguration at system level and architectural elements changes (types and behaviour) at architecture level. DySAL combines MDE and K-Maude techniques for modelling different DySA aspects (topology, behaviour, interactions, and dynamic evolution). It is defined according to an incremental and multi-level approach and may benefit from the strength of the used approaches: meta-modelling (MDE) and formal semantics (Maude). This has the advantage to manage all types of dynamic evolution and their eventual side effects. Moreover, DySAL facilitates DySA definition with multiple views while covering all phases of dynamic application development life cycle, including validation and verification. Our approach is illustrated and evaluated through a realistic example of a ubiquitous system.
Response Time Based Resource Allocation According to Service Level Agreements in Cloud Computing

Cloud computing is a technology which offers various services as and when required by the user through various cloud providers. The scalable nature of cloud has made it to reach various domains and have a strong root in every organisation. The resource provisioning has become a challenging task for many cloud providers. This work proposes an efficient framework for handling storage, application and computation services, offering service level agreements (SLA) backed performance and uptime promises for their services in cloud computing. Further, this tries to benefit both the users as well as cloud providers by enhancing the features for the customers and by gaining profit for the providers. The proposed SLA-based resource provisioning system is found to perform better than the existing other resource provisioning systems in terms of response time and other QoS parameters.
Design of Infiltration Well to Reduce Inundation in Rawa Makmur Village, Bengkulu City

Rawa Makmur Village, especially Merpati I, has an area of 3.6 hectares, has experienced land use changes of 30% in the last 3 years. The purpose of this study is to design infiltration wells to reduce inundation that often occurs in this region. The data used are primary data (soil sampling and laboratory testing) and secondary data (rainfall data, land use data and other supporting data) that are processed using hydrological analysis and hydraulic analysis. Based on the results of data processing obtained the intensity of rainfall with a 20-year return period is 2.56 mm/hour and the flood discharge plan is 0.01229 m3/s. The household debit is 0.212 m3/s, the roof discharge is 0.00000037 m3/s, so the total debit that must be reduced is 0.222 m3/s. The soil sample at the study location is taken and tested in the laboratory. The test results show the soil permeability coefficient is 2.630 x 10-4 m3/s. Infiltration discharge into the soil is 0.000152 m3/s, then the reduced discharge is 0.2218 m3/s. Based on the analysis results obtained the design of infiltration wells with a diameter of 1 meter and a depth of 2.2 meters. One well was effectively used for 2 houses with a reduction of 0.2218 m3/s with a reduction time of 1,297 minutes.
Harness the hetorogeneity in textual data

Over the last decades, there has been an increasing use of information systems, resulting in an exponential increase in textual data. Although the volumetric dimension of these textual data has been resolved, its heterogeneous dimension remains a challenge for the scientific community. The management of the heterogeneity in data offers many opportunities through an access to a richer information. In our work, we design a process for mapping heterogeneous textual data, based on their spatiality. In this article, we present the results returned by this process on data produced in Madagascar as part of the BVLAC project, led by CIRAD. Based on a set of 4 quality criteria, we obtain good spatial correspondence between these documents.
Towards highly-efficient single-photon storage based on electromagnetically induced transparency

Optical quantum memories are important components in the long-distance quantum communication based on quantum repeater protocol. To outperform the direct transmission of light with quantum repeaters, it is crucial to develop quantum memories with high fidelity, high efficiency and long storage time. Recently, we demonstrate that it is feasible to achieve a high storage efficiency of 92% for electromagnetically-induced-transparency (EIT)-based memory with weak coherent signal pulses in cold atomic ensembles [1]. To realize the highly-efficient memory with quantum light, we have built a bright and narrowband photon-pair source which can be locked to atomic transition based on the cavity-enhanced spontaneous parametric down conversion [2]. Here, we present our results on the storage of single photons generated by such a source in EIT-based memories. A storage efficiency of 36% is obtained in initial runs. Future improvements toward a high efficiency are discussed. Such a development paves the way for the applications of photon-pair-based quantum repeater and multi-photon synchronization.
Educational Robotics—Engage Young Students in Project-Based Learning

This paper reports on the impact of a cross-generational project, which links seniors’ needs and high school students’ expertise with the development of the student’s self-efficacy, communication and collaboration skills as well as their interests. The project iBridge integrates in its framework several different out-school activities with the concrete development of a prototypical service assistant (a cuddly toy robot) for seniors. During the study, the self-efficacy is measured with questionnaires. Students’ communication skill is demonstrated during interviews and in their interactions training elderly people in computer technology. Collaboration skills and responsible work efforts are manifested in their team efforts to develop a robotic prototype. The study also shows different outcomes for students participating in iBridge and students who are not involved in the project.
Testing Web Views

Today we can find mobile applications for almost everything—gaming, social networking, banking, music, etc. Such a variety of applications developed by a single developer, small startup, or solid company means different development approaches. These approaches are represented by native and hybrid applications. Native applications are developed for a mobile operating system following platform standards, user interface, and user experience guidelines and access mobile device capabilities like the camera, GPS, etc. Hybrid applications typically use websites that are in a native wrapper or container. On Android, this container is called the WebView.