Reviewerly/exHarmony huggingface dataset:
Optimising data access latencies of virtual machine placement based on greedy algorithm in datacentre

The total completion time of a task is also the major bottleneck in the big data processing applications based on parallel computation, since the computation and data are distributed on more and more nodes. Therefore, the total completion time of task is an important index to evaluate the cloud performance. The access latency between the nodes is one of the key factors affecting task completion time for cloud applications. Additionally, minimising total access time can reduce the overall bandwidth cost of running the job. This paper proposes an optimisation model focused on optimising VMs placement so as to minimise the total data access latency where the datasets have been located. According to the proposed model, our optimising VMs problem is linear programming. Therefore, we obtain the optimum solution of our model by the branch-and-bound algorithm with time complexity O(2NM). Simultaneously, we also present a greedy algorithm, which has O(NM) of time complexity, to solve our model. Finally, the simulation results show that all of the solutions of our model are superior to existing models and close to the optimal value.
Edublogs: a Media to Improve Students’ Writing Skill in Recount Text

This study designed to improve students’ writing skills through Edublogs of one Senior High Schools in Indonesia. Based on the preliminary observation, there were problems found in the field such as students’ poor writing skills and low interest toward writing, inappropriate teacher’s style in teaching, the role of media and the unsuitable utilization of internet facility. Regarding to the result of the observations, students had some problems in recount text writing those are the generic structure, the purpose and the language features. In addition, they had no capability to make a self-reflection on their mistakes in their own writing. It happens since their English teacher has a tendency to to directly correct their mistakes.This current research was an action research study consisting of two cycles. There are 23 students involved in this study. The data of this study were qualitative and quantitative. The qualitative data were obtained, the first, by observing the teaching and learning process during the implementation of the actions and the second, by interviewing the students and the collaborator about the actions implemented. Furthermore, the qualitative data were in the form of field notes and interview transcripts. Meanwhile, the quantitative data were gained by assessing the students’ writing skills through the pretest and posttest. The qualitative data were analyzed using the qualitative data analysis those are data collection, data reduction, data display, and conclusion drawing and verification. The results of this study show that Edublogs is an effective media that can be used to improve students’ writing skills qualitatively and quantitatively. Qualitatively, using Edublogs, teaching and learning process became more interesting. The students enjoyed the writing process. The students’ problems in writing can be reduced by using Edublogs in teaching-learning process by applying writing stages through Edublogs. Quantitatively, the average score gained by the students in cycle one was 67.37 while in cycle two is 72.58. The results, however, show that students’ writing skill improves significantly through blogging activity. Thus, it can be concluded that the students are more enthusiastic and more interested in writing English.
Analysis of the Influence of Multimedia Network Hybrid Teaching on College Students English Learning Ability

In order to improve college students' English learning ability, this paper puts forward a model to analyse the influence of multimedia network mixed teaching on college students' English learning ability. Based on the logistic regression analysis method, the multimedia hybrid network is designed, and the network node model of multimedia network hybrid teaching is constructed. This paper constructs an information acquisition model adapted to college students' English learning ability, and uses an improved extreme learning machine model to integrate multimedia network teaching information with college students' English learning ability information. The simulation results show that the method has high accuracy in analysing the effect of multimedia network mixed teaching on college students' English learning ability, and reduces the network transmission delay, improves the throughput, and promotes college students' English learning ability.
Implementation Management of Traffic Ethics Education Policy Among High School Students in Indonesia

Number of students as road accident victims due to human factors has been significantly increased every year. This research aims to examine the implementation management of traffic ethics education policy among high school students. This study employed mixed method, a combination of quantitative and qualitative research method. The population and sample are SMA students who ride motorcycles for their daily mobility. The sampling technique used is Multi-stage proportionate random sampling. By using Isaac and Michael formula, a minimum sample of 291 respondents was obtained. Data were collected through questionnaire, interviews, observation, focus group discussion (FGD) and documentation, while analysis was carried out in descriptive quantitative method. The research result showed that the traffic ethics education policies have been implemented well in Yogyakarta by applying well communication, disposition and bureaucratic. However, the lack of resources such as the absent of national curriculum on traffic ethics education (TEE), lack of safety road trainings for teachers and lack of families support, have limited the effectiveness of TEE in building students attitudes on using road and maintaining safety riding.
Time‐in‐action RL

The authors propose a novel reinforcement learning (RL) framework, where agent behaviour is governed by traditional control theory. This integrated approach, called time-in-action RL, enables RL to be applicable to many real-world systems, where underlying dynamics are known in their control theoretical formalism. The key insight to facilitate this integration is to model the explicit time function, mapping the state-action pair to the time accomplishing the action by its underlying controller. In their framework, they describe an action by its value (action value), and the time that it takes to perform (action time). An action-value results from the policy of RL regarding a state. Action time is estimated by an explicit time model learnt from the measured activities of the underlying controller. RL value network is then trained with embedded time model to predict action time. This approach is tested using a variant of Atari Pong and proved to be convergent.
Conceptual Foundations of the Postmaterialist Paradigm of Science

The purpose of this study is to understand the postmaterialistic paradigm of science in the context of a holistic worldview and evolutionary worldview processes.The cosmological model of Helena Blavatsky, who systematically introduced the symmetric structure of the universe in the form of a hierarchy of mutual-integrational structures of matter of different levels, from crude physical matter to the most subtle, spiritual substance, is the methodological basis of the holistic picture of the world.The unity of the system, according to Blavatsky, is provided by the egregore of the Absolute, approximated by conceptual content to the Transcendent.Accordingly, the absolute foundation of the world is an egregore that emits energy of a higher level than traditional energy sources, limited to the physical picture of the world.The article substantiates the conceptual foundations of the postmaterialistic paradigm of science, based on the achievements of quantum physics, synergetics, eniology and the theory of physical vacuum.The principles of the postmaterialistic paradigm (the ontological principle of holism, the principle of teleological hierarchy, the principle of materialistic-ideal complementarity, the anthropic principle of the predefinition of man and the world, the principle of the spiritual determiner of all theories of being) allowing to change radically the methods of energy use, applying the energy potential of the egregore for subtle, non-material matters of reality to upgrade the energy efficiency taking into account the axiological dominant, are explicated.
Information media literacy to improve working concept comprehension of ignition system with contact breaker and problem-based learning

One of electrical system character is that it is visually unobservable, but the change it brings can be detected.When analyzing the change in each component is presented as the difference of final result from their specifications.Thus the difficulties of understanding Ignition System with Contact Breaker (ISCB) working concept and failure analysis can be solved with Information Media Literacy (IML) using Problem-based Learning (PBL) approach.This research was conducted on 76 K-11 (± 19-21 years old) as experiment group.The results indicated that students' conceptual comprehension posttest score statistically shows the significance of ISCB.The implication of Information Media Literacy, designed to solve problems in the contact breaker ignition system, is that it can effectively help students by facilitating conceptual ability.
A Comparison of Visual Representations of E&M Plane Waves

It is well known that plane waves in electricity and magnetism (E&M) are misunderstood by students.Particularly, the traditional visual representation of these plane waves is misleading, and students are confused by the waves' three-dimensionality.A possible improvement has been designed using an animated vector field.Graduate physics students were presented two different visual representations of E&M plane waves.The students were asked to describe what each visual represents in detail.Students' reactions to those two representations are compared and the content delivered in each visualization is assessed, suggesting that the advantages of the animated vector field may be significant.
A Deep Residual Multi-scale Convolutional Network for Spatial Steganalysis

Recent studies have indicated that Convolutional Neural Network (CNN), incorporated with certain domain knowledge, is capable of achieving competitive performances on discriminating trivial perturbation introduced by spatial steganographic schemes. In this paper, we propose a deep residual multi-scale convolutional network model, which outperforms several CNN-based steganalysis schemes and hand-crafted rich models. Compared to CNN-based steganalyzers proposed in recent studies, our model has a deeper network structure and it is integrated with a series of proven elements and complicated convolutional modules. With the intention of abstracting features from various dimensions, multi-scale convolutional modules are designed in three different ways. Besides, inspired by the idea of residual learning, shortcut components are adopted in the proposed model. Extensive experiments with BOSSbase v1.01 and LIRMMBase are carried out, which demonstrates that our network is able to detect multiple state-of-the-art spatial embedding schemes with different payloads.
The Value of Structured and Unstructured Content Analytics of Employees’ Opinion Mining

Employees and their knowledge are critical for a company's success and were extensively covered by literature.Free form of knowledge, as opinions or feedback is analyzed in some companies in order to understand potential areas of improvement or satisfaction.This research focuses on analyzing free format opinions collected with a survey instrument from 586 employees of a bank.Various techniques as text analytics, word embedding, supervised and unsupervised learning were explored, extracting key concepts or entities.Attribution and relational similarity was explored using techniques as supervised text classification or unsupervised, by word vector representation and embedding using word2vdec.The aim was to explain overall satisfaction combining structured data (collected with closed questions survey, using 7 points Likert scale) enhanced with text classification of opinions, related to best and worst applications, along with explanations.The theoretical model used for ontology and taxonomy of text classification was based on Technology Acceptance Model, mapped into the main perceptual constructs, Perceived Ease of Use and Perceived Utility.The scope of research was the banks' enterprise IT environment, not focused on a specific application.Various quantitative models, including linear models, decision trees and neural nets, were evaluated to capture potential causality of overall employee IT satisfaction level.The results suggest strong influence of perceptual constructs towards satisfaction, within all methods, while unstructured textual data provide additional insights on employees' perception from concept associations.
Quantum information capsule in multiple-qudit systems and continuous-variable systems

Quantum correlations in an entangled many-body system are capable of storing information. Even when the information is injected by a local unitary operation to the system, the entanglement delocalizes it. In a recent study on multiple-qubit systems, it is shown that a virtual qubit defined in the correlation space plays a role of perfect storage of delocalized information, which is called a quantum information capsule (QIC). To enhance the capacity of quantum information storage, it is crucial to formulate the cases for multiple-qudit systems and continuous-variable (CV) systems. We analytically prove that it is possible to construct a QIC for general write operations of the systems. It turns out that the extension to quantum field theory is achievable. For Gaussian states, we explicitly construct a QIC for shift write operations. We analyze the time-evolution of QIC in a CV system to demonstrate the diffusion of information in entangled pure states.
MODIFIKASI MODEL PEMBELAJARAN THINK TALK WRITE (TTW) DENGAN STRATEGI PEMBELAJARAN TUGAS DAN PAKSA

The learning model that is still teacher-centered causes low activity and student learning outcomes in the classroom, many students do not understand the material taught in the classroom especially if the teacher does not provide additional assignments. This writing aims to improve the activities and student learning outcomes by analyzing the combination of Think Talk Write (TTW) learning models with forced and task learning strategies. To provide a motivation for teachers to package learning that is creative and innovative, making learning activities interesting and not monotonous. The results of this modification indicate that learning with the Think Talk Write (TTW) learning model through forced and task strategies can improve the learning process so that students become more disciplined and do not waste time doing tasks. The advantages of modification of the Think Talk Write (TTW) learning model with forced and task learning strategies is to increase student learning motivation, improve the quality of learning, train students' understanding by giving assignments continuously, teach discipline to students in order to be accountable for tasks assigned, and reduce laziness in students. It is recommended to modify the Think Talk Write (TTW) learning model with forced and forced learning strategies both applied in the classroom so that the application becomes more effective while still taking into account the conditions of the school environment, students and teachers
Intelligent Image Processing and Optical Means for Archeological Artifacts Examination

This chapter describes how optical information and advanced image processing can be used to study archeological objects and artworks in order to determine more precisely and noninvasively the characteristics of the shape and color of artifacts. The purpose of this research is to develop a passive experimental technique for artifact investigation to help human experts make the best decisions in the process of authenticating and preserving-restoring objects. The method used is digital capture of object images followed by processing them with specialized software tools to analyze the chromatic characteristics and apparent geometric details. The proposed methodology consists of intelligently combining digital image analysis functions to build a set of chromatic-structural features useful for recognizing possible differences and estimating color and shape evolution. The investigation of the artifacts through digital image processing is a noninvasive and precise complementary method of analysis that can reduce the costs, and it must be extensively integrated into decision support systems for experts and curators in the field of artistic heritage preservation.
INVESTIGATING STUDENTS’ ABILITY TO USE GERUND AND PRESENT PARTICIPLE AT ENGLISH EDUCATION DEPARTMENT OF SORONG MUHAMMADIYAH UNIVERSITY

This research presented analysing the students’ ability to use gerund and present participle at English Education Department of Sorong Muhammadiyah University and the factors affecting the students’ ability to use gerund and present participle. This research used descriptive method with the test and questionnaire instruments. The test consisted of 30 items and the questionnaire consisted of 23 items. The population of the research was the students of English Education Department of Sorong Muhammadiyah University in academic year 2011/2012 that consistent of 423 students. The sample of this research consisted of 43 students taken by applying purposive sampling technique. The result of the data analysis indicated that the students’ ability to use gerund and present participle was poor. It was indicated by the rate of percentage of the students’ score obtained through in which out of 43 students, 3 students (7 %) got very poor score, 19 students (44.2%) got poor score, 20 students (46.5%) got fairly score, and 1 (2.3%) students got good score. While none of them got very good score. The mean score of the test was 5.41 that falls into poor classification. The finding showed that the factors affected the students’ ability to use gerund and present participle because the same form of gerund and present participle, the students did not know about the use of gerund and present participle and the students lack ability of memorizing.
The Impact of Using Brainstorming in the Development of Creative Thinking and Achievement in the English Language of the 10th Grade Students at King Abdullah II Schools of Excellence in Amman

This study aimed to identify the effect of using brainstorming in the development of creative thinking and achievement in the English language among 10th grade students at King Abdullah II School of Excellence. The study sample consisted of (168) students. The problem of the study was to answer the main question: What is the impact of using brainstorming strategy in the development of creative thinking and achievement in English language of 10th grade students at King Abdullah II School of Excellence in Amman?, to answer this question and the sub questions, the researcher built the study tools, which were: 1) A test for creative thinking in English, prepared by the researcher. 2) Achievement test of English language prepared by the researcher and consisted of (30) multiple choice questions.&#x0D; The validity and reliability of the tools were verified. The researcher used the semi-experimental method according to the nature of the study. The researcher applied the pre and post study tools to the two groups (experimental and control), Where the students of the control group were taught using the normal way, while the experimental group was taught using the brainstorming strategy. The study was conducted in the second semester of the academic year 2017/2018.&#x0D; The results of the study showed that there were statistically significant differences at (α≤0.05) between the mean scores of the experimental group (taught using the brainstorming strategy) and the control group (taught in the usual way) in the pre/posttest of creative thinking. Results also showed there were statistically significant differences at (α≤0.05) between the mean scores of the experimental group (taught using the brainstorming strategy) and the control group (taught in the usual way) in each skill of creative thinking (fluency, flexibility, and originality) in the pre/posttest of creative thinking. And also there were statistically significant differences at (α≤0.05) between the mean scores of the experimental group and the control group in the achievement test of English language. &#x0D; In light of the results of the study, the researcher proposed some recommendations such as: English language books in the educational stages should include some creative thinking skills, such as fluency, flexibility and originality, and the use of modern methods and strategies in teaching English in different educational stages, such as the use of brainstorming.
Teaching ESL through SMS: Prospects and Problems in Nigeria Idegbekwe, Destiny

There is a growing call for English as a second language teachers to explore different learning environments and teaching options to spice up the traditional ‘boring’ English language classes. The onus has been on language teachers to discover these innovative platforms and implement same in their classes. It is against this background that the present study presents the prospects and problems of using the SMS on mobile phones for teaching the English language in Nigeria knowing fully well that at least 15.5 million Nigerians of different ages own at least one mobile phone. The study reveals that most English language teachers do not recognise the cheap, exciting and handy nature of the SMS learning environment. The study also discovers that amongst all the network providers in the country, only MTN provides an SMS based ESL class that is mainly focused on grammar tips. The study examines some problems associated with the SMS learning environment; chief amongst them being the restricted text typing environment of SMS and the inability to take pictures for illustrations. However, the study recommends that despite the short comings, the SMS platform still provides an efficient and cheap learning environment.
Codes detecting, locating and correcting random errors occurring in multiple sub-blocks

In this paper, we study bounds on the number of check digits of linear codes that can detect multiple sub-blocks each affected by e or less random errors and can locate such corrupted multiple sub-blocks. Further, we obtain an upper bound on the number of check digits of linear codes which can correct such errors occurring in multiple sub-blocks. We also give examples of such codes.