Reviewerly/exHarmony huggingface dataset:
Effects of transition technique on motivation of the students at secondary level

The paper was designed to investigate the effects of classroom transition techniques on the student's motivation.Students observe relevance to their learning when they have ownership of the process, and when they feel it is appropriate to meet their needs, they are more motivated.These are important factors to believe both in the planning of daily lessons and in the introduction of transition techniques in the class.Connecting students to the actions of classroom management created a change in the behavioral model so that everyone in the classroom worked together.In order to motivate students to participate in appropriate behavior, they needed to know that their efforts and actions were important.The study was based on the quantitative approach.The Population of the study was all Government Secondary school students in district Peshawar.A stratified sampling technique was used for the collection of sample size.The Sample size of the study was 400 students from 20 schools.The instrument used for data collection was a questionnaire.The data found that almost 92.8 % of respondent students reported that transition help to motivate the slow learner to work hard and perform well.Almost 90 % of respondent students agreed, to the fact that transition gives pleasure when it is completed along with friends, It is recommended that the instruction during the transition must be clear so it will prove more effective.
Page-Level Handwritten Word Spotting via Discriminative Feature Learning

Handwritten word spotting (HWS) is a task of retrieving word instances within handwritten documents, which is typically assisted by word annotations (word-level HWS). Previous methods following this paradigm are always in the manual feature modelling fashion, failing to capture sufficient discriminative information of the original input; also, they are always quite time-consuming in the artificial segmentation phase, limiting their applications in practice. To address these problems, we revisit HWS and model it on page-level via discriminative feature learning. Two distinct components modelled as neural networks are combined: word discriminative representation learning by Siamese Feature Network (SFNet) and the word discriminative spotting by Word Discriminative Spotting Network (WdsNet). Even without annotation of boxes, our WdsNet reaches impressive results on the IAM benchmark dataset with 76.8% mAP for the full page word spotting, revealing its superiority over other competitors.
IMPROVING STUDENTS’ SPEAKING SKILL THROUGH ROLE PLAY: AN ACTION RESEARCH FOR THE EIGHT GRADE STUDENTS OF SMP NEGERI 1 PEDONGGA

Speaking is the special moment when the student can be improve their speaking in daily life or their classroom. With speaking the students can practice their knowledge of English and they can get new vocabularies. The objective of the research is to improve speaking skill for the eight grade students of SMP Negeri 1 Pedongga in the academic year of 2019/2020 with the use of role play method. Based on the observation, there were some problems in the teaching and learning of speaking. To solve those problems, the researcher implemented role play as a speaking activity.The research was carried out through action research that consisted of two cycles. Each cycle consisted of two meetings. The results of the research showed that there were some improvements in the students speaking skill. In cycle I, there were some unsuccessful actions. Meanwhile, in cycle II, the implementation of role play techniques was successful in improving the students’ speaking skill. The conclusion of this research were the students low in speaking was caused by lack in vocabulary, self-confident, and they were confused how to pronounced the word. The success in teaching doesn’t depend on the lesson program only, but more important is how to the teacher present the lesson and uses various method to manage the class.
Adaptive Non-Immersive VR Environment for Eliciting Fear of Cockroaches: A Physiology-Driven Approach Combined with 3D-TV Exposure

Non-immersive VR environments are related to the least interactive application of VR techniques, such that interaction with the VR environment can occur commonly by 3D-TV without full immersion into the environment. This study presents how 3D-TV exposure combined with physiology recording can elicit fear of cockroaches among individuals with different levels of fear. Thirty-six participants, set apart into three fear groups (low vs. moderate vs. high), were exposed to VR environment with cockroaches for 4 minutes while recording and using cardiac activity as input to the VR environment. Results revealed significant effects on self-report measures and heart rate between different fear groups. Moreover, participants with higher levels of fear were more likely to trigger cockroaches into the scenario due to their cardiac acceleration. Overall results suggest that our physiology-driven VR environment is valid for fear elicitation while having potential use in therapeutic domain.
Jacques Calmet dies at 77

The computer algebra community lost one of its pioneers when Jacques Calmet died on 7th April 2019 aged 77. Born in Marseille, he studied physics at the University of Aix-Marseille where he received his Ph.D. in 1966 and his Doctorat-és-Sciences in 1970. He was from 1965 to 1988 first a researcher, then a research director with the French CNRS. Until 1981 he was mainly working in physics at the Centre de Physique Théorique de Marseille, then he moved to Grenoble to work first at IMAG and then at LIFIA more in the field of computer science. During this time, he spent repeatedly longer spells at foreign universities and research centres like the Universities of Utah and Delaware in the USA, the University of Karlsruhe, Germany, and the CERN Theory Division in Geneva, Switzerland. In 1988 he moved permanently to the University of Karlsruhe where he was a professor of computer science until his retirement in 2007.
Prioritizing Cloud Service Threats for Succession to Information Security Management System

With the growth of the cloud computing industry, there is also an increased risk that cloud service providers are stably providing services.Cloud service providers need to identify these threats and be proactive.Because cloud service is a service that requires a high availability rate of at least 99.9%.Therefore, this study presents a framework for collecting and prioritizing potential threats that could compromise the service of a cloud service provider.In addition, a case study was conducted to verify the proposed framework.This framework can be used only when the cloud service provider has a risk management procedure, and has a limitation in that the subjective characteristics of the cloud service provider may be included in the use of the framework.Nevertheless, it can be used in establishing a proactive threat management plan for cloud service delivery and researching cloud security management methodology.
Critical Analysis of Information Security Culture Definitions

This article aims to advance the understanding of information security culture through a critical reflection on the wide-ranging definitions of information security culture in the literature. It uses the hermeneutic approach for conducting literature reviews. The review identifies 16 definitions of information security culture in the literature. Based on the analysis of these definitions, four different views of culture are distinguished. The shared values view highlights the set of cultural value patterns that are shared across the organization. An action-based view highlights the behaviors of individuals in the organization. A mental model view relates to the abstract view of the individual’s thinking on how information security culture must work. Finally, a problem-solving view emphasizes a combination of understanding from shared value-based and action-based views. The paper analyzes and presents the limitations of these four views of information security culture definitions.
Collaborating and Learning in Shared Virtual Environments

The five articles in this special section focus on collaboration and learning in shared virtual environments (VE). VEs are an excellent tool for the provision of training and education. The articles examine techniques and technologies for education and training in virtual environments, spanning both solo and collaborative approaches. These articles include original submissions as well as extended and revised versions of selected best papers presented at the VS-Games 2019 conference.
Autocompensating high-dimensional quantum cryptography by phase conjugation in optical fibers

We present a system based on phase conjugation in optical fibers for autocompensating highdimensional quantum cryptohraphy. Phase changes and coupling effects are auto-compensated by a single loop between Alice and Bob. Bob uses a source of coherent states and next Alice attenuate them up to a single photon level and thus 1-qudit states are generated for implementing a particular QKD protocol, for instance the BB84 one, together with decoy states to detect eavesdropping attacks.
Portraying Screen Reading Behavior of College Students of University of Delhi

The present paper explored various screen reading activities of undergraduate students of twelve colleges of University of Delhi. It included browsing/scanning, keyword spotting, concentrated reading, one time reading, reading selectively and non-linear reading. It also investigated several ways of handling the electronic documents along with frequently used reading devices and preferred location for reading the documents. The study administered structured print questionnaires and received 506 completed questionnaires from undergraduate students of different disciplines i.e. sciences, social sciences and humanities. Cronbach’s Alpha Reliability Coefficient test was applied using the SPSS (Statistical Package for Social Science, Version-25) along with the Weighted Mean. Results revealed that Screen reading activities such as browsing/scanning (54.0 %), reading selectively (51.0 %), concentrated reading (36.2 %), one time reading (33.0 %), keyword spotting (28.3 %) and non-linear reading (23.5 %) were increasing among undergraduate students of all the three disciplines. The preferences of undergraduate students for reading devices and locations reveals that majority of 51.0 per cent students used smartphones followed by laptops (29.5 %), personal computers (7.4 %) and the minimum number of only 5.5 per cent of students were using tablets. Maximum number of 38.3 per cent students preferred reading at their homes followed by library (17.8 %) and while travelling (17.2 %). The lowest number of (6.8 %) students read books in their hostels. Overall, it revealed that in present scenario, students’ concentration level has found increased reading the content on screen. Whereas, the situation was other way round with the earlier generations. Few factors such as convenience, flexibility, portability and ownership in using smart devices make them connected online with the peer groups and read content on screen at their own pace.
K-Nearest Neighbor Berbasis Particle Swarm Optimization untuk Analisis Sentimen Terhadap Tokopedia

Tokopedia is a popular marketplace used by e-commerce in Indonesia. Customers’ perception of Twitter towards Tokopedia can be used as an important source of information and can be processed into useful insights. Sentiment analysis is a solution that can be used to process the customers’ perception using K-Nearest Neighbor based on Particle Swarm Optimization. The purpose of this study is to classify customers’ perception based on positive, neutral, and negative classes. The test is carried out with four different scenarios and k values which are evaluated using a confusion matrix. Evaluation results showed the distribution of the dataset is 90:10 and the value of k = 1 is the best evaluation result, which is 88.11%. The feature selection was used for results by using Particle Swarm Optimization. The Particle Swarm Optimization used 20 iterations and 10 particles. It produced 97.9% the best evaluation accuracy, 96.17% precision, 96.62% recall, and 96.39% f-measure.
Constructions of Nonequivalent F<sub>p</sub>-Additive Generalised Hadamard Codes

A subset of a vector space F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</sub> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> is K-additive if it is a linear space over the subfield K ⊆ F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</sub> . Let q = p <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">e</sup> , p prime, and e > 1. Bounds on the rank and dimension of the kernel of generalised Hadamard (GH) codes which are F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> -additive are established. For specific ranks and dimensions of the kernel within these bounds, F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> -additive GH codes are constructed. Moreover, for the case e = 2, it is shown that the given bounds are tight and it is possible to construct an F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> -additive GH code for all allowable ranks and dimensions of the kernel between these bounds. Finally, we also prove that these codes are self-orthogonal with respect to the trace Hermitian inner product, and generate pure quantum codes.
FORECASTING ANALYSIS OF NEW STUDENTS ACCEPTANCE USING TIME SERIES FORECASTING METHOD

New students admission (PMB) is a routine activities for education institution. Therefore, it was necessary for the institution to be aware of the mechanism of PMB to produce competent and qualified prospective students. Forecasting of PMB needed to predict the number of students and to prepare the institution infrastucture facilities to welcome the new freshmen.  The research discussed the determination of forecasting number of Universitas Bina Sarana Informatika PSDKU Karawang students by using time series forecasting with three different method: moving everage, exponential smoothing and trend analysis. It also compare Mean Absolute Presentage Error (MAPE) calculated by QM for Windows. The result of the research showed that trend analysis was the most effective method which had 41.84 MAD, 2324.28 MAD, 4.99 % of MAPE and 557 students for next forecasting. The conclussion from data analysis processing showed that Universitas Bina Sarana Informatika should provide all of infrastructure facilities for the teaching and learning process with the number of 557 students in 2020.
Cluster Analysis Using the Hierarki Method For Grouping Sub-Districts in The District Steps Based on Health Indicators

&lt;span lang="EN"&gt;Cluster analysis is a method used to group objects based on similarity of characteristics they have. Cluster analysis using the hierarchy method is a method with a grouping process that is used in stages. Health is a condition where a person is not sick, has no complaints, and can carry out daily activities. To find out information about the level of health in Langkat Regency, it is necessary to use the grouping method. The grouping was carried out in 23 districts in Langkat Regency. The purpose of this study is to classify sub-districts in Langkat Regency which have similar characteristics based on health indicators through the square euclidian distance is used to measure the similarity between object pairs and the ward method. From the results of cluster analysis using the ward method.&lt;/span&gt;
Small Group Discussion For The Students’ Reading Comprehension Of The Senior High School Students

This studies involved approximately the impact of Small Group Discussion Strategy (SGDS) on the students’ reading comprehension at grade X SMK Swasta Panca Dharma Padangsidimpuan. There had been a few issues determined for the students: 1) they were given problems in comprehending the text, 2) they have problems in deciphering phrases and a few vital components which include predominant idea, normal structure, and particular language features, 3) they had been less practice to the gaining knowledge of process. The purpose of this study is to examine the effectiveness of the SGDS to the students’ reading comprehension. This study turned into experimental studies with pre-test and post-test design. The population turned into all the 10th grade of SMK S Panca Dharma Padangsidimpuan., they are 112 students; and taken as sample 2 classes, they are XA as experimental group and XB as control group. To examine the information, the researcher used t-test formula.Based at the calculation of t-test, the researcher determined that t-count = 4.18 and t-table = 1.67591, it means that t-count is higher than t-table (4.18 1.67591). So, the researcher should concluded that Ha is accepted and Ho is rejected. It can be concluded that SGDS has big impact to student’s reading comprehension at grade X SMK Swasta Panca Dharma Padangsidimpuan.
Non-planar illumination sources for deflectometry

We introduce the design of a highly compact, non-planar illumination source for deflectometry. The source emits uniform and Lambertian light from a curved area resembling the inner bore of a cylinder. When equipped with motion hardware, the ring source behaves like a spatially modulated screen with a pixel pitch comparable to that of a typical LCD monitor. If this source, a detector, and test optic are coaxially aligned, then on-axis deflectometry measurements are possible for axicons and centrally obscured, convex optics. This paper highlights the illumination design behind a cylindrical ring source and its implementation as a prototype in the visible spectrum.
A complex criterion for the evaluation of the video data lossy compression efficiency based on wavelet transforms

The paper proposes a complex criterion of codec evaluation used to compress lossy video data and a test bench to determine this criterion value.Earlier it was shown that the majority of multimedia coding algorithms could be described by a general multistage scheme.The multiple stage data processing provides an independent algorithm choice for any of the stages but requires interstage parameter coherence to increase the overall codec efficiency.The purpose is to develop an algorithm to evaluate the video data compression efficiency by implementing the hybrid codec architecture on the example of the wavelet transform.A software test bench was developed to evaluate the efficiency of various potentially applicable wavelet transforms for lossy compression and to determine the values of the proposed compression efficiency criteria.The subjective and objective evaluations of compression results for various wavelet function implementation were made.The objective evaluation made on the developed software test bench by the proposed criteria made it possible to range the given wavelet functions by applying to the lossy image compression task.The subjective evaluation showed that on the low level of transformation (3 and lower) all the given wavelets were giving satisfactory visual results.The visual differences are becoming obvious on wavelet transforms of level 6 and higher.The advantage of the proposed approach is an ability to implement a software test bench for the non-reference evaluation of video data compression parameters based on the hybrid codec concept.The development of automated systems for the evaluation of video data compression efficiency makes it possible to speed up the process of video codec development and to standardize the results of video compression system evaluation.
PENGAJARAN SASTRA BAHASA JERMAN DI SEKOLAH MENENGAH ATAS (SMA)

Abstract. This research is a descriptive qualitative research. It aims to obtain information on the relevant themes and types of literary works taught in school. Data seurcesof this research were primary and secondary data . Data collecting, the researcher used library technique. The data obtained were then analyzed using the heuristic and hermeneutic reading methods. The findings show that the relevant themes of German literary work that can be used in teaching are family, daily life, divinity, nature, and health by paying attention to the level of students' language skill. As for the types of German literary works based on the findings, the relevant types are Lyrics and Short Stories.
Potential Ecological Risk of Swamps Sediments in Illegal Refineries Sites: A Case Study of Isoko South, Delta State, Nigeria

This study was carried to determine the level of heavy metals toxicity in swampy forest of Isoko South, Delta State, Nigeria. Sediments samples were collected from nine spatial points, within the swampy forest of Enwhe community of Delta State, Nigeria. The study area contained clusters of illegal crude oil refineries, before they were destroyed by the Nigeria military, during the first quarter of 2020. A total area of 1 km2 of the swampy environment was covered in this study. Six toxic heavy metals (Cu, Zn, Cr, Cd, Pb, and Ni) contents, in the sediments were determined in accordance to international approved standards. The results revealed that the activities of the illegal refineries located in the study area, significantly increased the heavy metals toxicity in the sediments. When compared with the results obtained from a reference point, the concentrations of the heavy metals were significantly higher, across the study area. Within the study area, spatial points B and D sediments contained the highest heavy metals concentrations. In addition, the study revealed that contamination factor of the sediments ranged between moderate and high degree of heavy metals contamination. This portrayed the potential ecological risks of the illegal refineries activities, to the environment of the region. Therefore, if these illegal refineries activities are allowed to continue unabated, they will cause a serious ecological risk to the Niger Delta region ecosystems.
INFERRING THE SCALE AND CONTENT OF A MAP USING DEEP LEARNING

Abstract. Visually impaired people cannot use classical maps but can learn to use tactile relief maps. These tactile maps are crucial at school to learn geography and history as well as the other students. They are produced manually by professional transcriptors in a very long and costly process. A platform able to generate tactile maps from maps scanned from geography textbooks could be extremely useful to these transcriptors, to fasten their production. As a first step towards such a platform, this paper proposes a method to infer the scale and the content of the map from its image. We used convolutional neural networks trained with a few hundred maps from French geography textbooks, and the results show promising results to infer labels about the content of the map (e.g. ”there are roads, cities and administrative boundaries”), and to infer the extent of the map (e.g. a map of France or of Europe).