Reviewerly/exHarmony huggingface dataset:
The Awareness of the Faculty Members And Their Assistantsin Beni-Suef University towards The Aplications of Web 2.0

A University professor must be allowed an opportunity to learn about the latest developments and technologies in the area of the internet in general, and the world of the Web in particular, to be able to make use of them in carrying out his academic work and research. This study aims at measuring the attitudes of the Faculty members toward the techniques of Web 2.0. The researcher has chosen the Faculty members and the teaching assistants at Beni-Suef University as examples. The importance of the internet and its impact on modern life cannot be denied. It has been able to change the pattern of modern life, to innovate different concepts and patterns of requirements, which have transformed the world into a small village thanks to the technology of communication, which made the Internet a window through which researchers and scientists acquire various kinds of knowledge and cultures this study tries to answer the following queries: To what extent the Faculty members of Beni-Suef University and their assistants use the Internet?,What are their skills in using the internet, and to what extent they benefit from the service of browsing? ,To what extent are the Faculty members of Beni-Suef University and their assistants aware of the importance Web 2.0?,The ways through which the Faculty members of Beni-Suef University and their assistants acquire the available information about the Web 2.0. ,How much knowledge do the Faculty members of Beni-Suef University and their assistants have about Web 2.0? ,To what extent the Faculty members of Beni-Suef University and their assistants use the services and sites available through the techniques of Web 2.0?,What are the opinions of the Faculty members of Beni-Suef University and their assistants on the services and available sites through the techniques of Web 2.0? This study attempts to measure the extent of the Faculty members of Beni-Suef University and their assistants' use of the applications of Web 2.0, the time limit of this study is the academic year 2011/2012 AD, when the researcher collected the data needed to conduct the study through the distribution of the questionnaire on the sample during this period
Research on image of enterprise after-sales service based on text sentiment analysis

In recent years, the popularity of the internet has not only brought convenience to consumers, but also brought opportunities and challenges to enterprises. Among them, online reviews have a great impact on the enterprises, especially consumer reviews of the enterprises' after-sales service will affect the enterprises' image. In this paper, text sentiment analysis method is used for the analysis of after-sale online comments. According to the analysis results, enterprises can find the shortcomings of after-sales service and improve it. This paper provides the steps of the text sentiment analysis method, and uses the empirical data of the website to carry out the experiment. The results show that the method can effectively analyse the customer's sentiment and help the after-sales staff of the company to answer questions well, thereby improving the level of after-sales service and enterprise image.
VARIETY OF ARRANGEMENTS OF NUMERICAL DATA FOR A DEEPER UNDERSTANDING OF MATHEMATICS

Effective arranging of numerical data and design of associated computational algorithms are important for any area of mathematics for teaching, learning and research purposes. Usage of various algorithms for the same area makes mathematics teaching goal-oriented and diverse. Matrices and linear-algebraic ideas can be used to make algorithms visual, two dimensional (2D) and easy to use. It may contribute to the planned educational reforms by teaching school and university students deeper mathematical thinking. In this article we give novel data arranging techniques (2D and 3D) for matrix multiplication. Our 2D method differs from the standard, formal approach by using block matrices. We find this method a helpful alternative for introducing matrix multiplication. We also give a new innovative 3D visualisation technique for matrix multiplication. In this method, matrices are positioned on the faces of a rectangular cuboid. Computerized implementations of this method may be considered as student project proposals.
Penerapan Metode Debat dan Model Artikulasi untuk melihat perbandingan kemampuan Berbicara Siswa kelas XI SMK Negeri Palopo

This research is an experimental research that aims to compare differences in students' speaking abilities using the debate method and articulation models. This study was designed with a post-test only control group desaign. This research was conducted at SMK Negeri 1 Palopo, with a population of 143 students consisting of four classes. Sampling using purposive sample technique so that the chosen ones are accounting class 1 and accounting class 2. The data obtained is data that explains the comparison of speaking skills between those who use the debate method and those who use the articulation model of students of SMK Negeri 1 Palopo, in this study, the data collected will be analyzed by using descriptive statistical techniques and parametric infrential statistics of the type of independent sample T test that is processed with a computer program Statistics Product Service Solution (SPSS). The results showed that the results of the debating method class completeness category contained 29 students who scored&gt; 75 with a percentage of completeness (94%), and only 2 students who scored ≤ 75 with a percentage of completeness (6%). Likewise with the class using the articulation model there were 29 students who scored&gt; 75 with a percentage of completeness (94%), and only 2 students who scored ≤ 75 with a percentage of completeness (6%). This proves that there is no significant difference between the speaking ability of class XI students of SMK Negeri 1 Palopo using the debate method and the articulation model
STUDENTS’ PERCEPTIONS IN USING NARROW READING AND NARROW LISTENING IN SPEAKING CLASS AT THIRD SEMESTER OF ENGLISH DEPARTMENT UNIVERSITAS BANDAR LAMPUNG

This reseacrh describes the student’s perceptions in using narrow reading and narrow listening in speaking class at third semester of English Department Universitas Bandar Lampung. It is to find out the student’s perception about narrow reading and narrow listening whether those methods are effective or not to be used in speaking class, and whether those methods could help them in improving their speaking ability or not. The population of this research were the third semester students of English Department Universitas Bandar Lampung. The sample of this research was taken by using purposive sampling method. The instruments used for collecting the data were observation, questionnaire, and interview. The data analysis of this research was qualitative. The result of this research show that the students’ were very interested in learning and they gave a positive attitude and good response when those methods were implemented in their classes. From the questionnaire and the interview result, it showes that mostly they said that those methods can help them to speak as well as to understand what they should say when they should tell their topic in front of the class. Based on the research, it was found that the use of narrow reading and narrow listening in speaking class was effective and it was very useful and help the students in improving their speaking skill as well as help the students in achieving their goal in learning speaking skill. Therefore, it was suggested to use narrow reading and narrow as a media in teaching English generally and teaching speaking skill particularly.
Novel image detector of fixed-valued impulse noise with high noise intensity

Impulse noise is a common noise in digital image processing, which includes the fixed-valued impulse noise and the random-valued impulse noise. A novel method is proposed to detect the fix-value impulse that uses the deviation of slant angle as test object to recognize whether a noise candidate is impulse noise pixel. Distinguishing the average method and medium method, the method uses the new test object to detect the impulse noise. The mathematical model and the detection algorithm of this method are stated and analyzed, and the experiments show the performance of this method under the different circumstance. The biggest advantage of this method is to detect the fixed-valued impulse noise correctly and robustly under the different noise intensity that is up to 0.95.
The brain in light of edgar morin’s paradigm of complexity

This paper aims at pointing out the contributions of Edgar Morin´s complexity theory for the study of the brain. According to Morin, the brain is a unity of multiplicities, “Unitas multiplex,” given that it works through dialog and sociocultural, genetic brain domains converge within it, from which multiple ecosystem religares emerge, which turn it into the core of the phenomenal association, shaping, and reproduction. The brain is polycentric, poly-phenomenal and multidimensional; order–chaos–organization come together as a result of a recursive, recurrent, organizational operation.
Large left atrial myxoma: Thorough clinical evaluation is the key

The Journal is the primary organ of Continuing Paediatric Medical Education in Sri Lanka. The journal also has a website. Free full text access is available for all readers.The Sri Lanka Journal of Child Health is now indexed in SciVerse Scopus (Source Record ID 19900193609), Index Medicus for South-East Asia Region (IMSEAR), CABI (Centre for Agriculture and Bioscience International Global Health Database), DOAJ and is available in Google, as well as Google Scholar.The policies of the journal are modelled on the Committee on Publication Ethics (COPE) Guidelines on Principles of Transparency and Best Practice in Scholarly Publishing. Sri Lanka Journal of Child Health is recognised by the International Committee of Medical Journal Editors (ICMJE) as a publication following the ICMJE Recommendations.
Design of Sequence Detector using Finite State Machine

Automata Theory is a tool which is used in multidisciplinary computing and scientific research.It is the basis behind the traditional model of computation and is used for many purposes such as controller circuit design, sequential circuit design etc.A Sequence detector is a sequential state machine used to detect consecutive bits in a binary string..This technical paper examines various sequences and gives output as 1 if the sequence is detected.The types of the sequence examined are overlapping sequences.Realization of the designed algorithm for detecting the sequence is with the help of flip-flops.The flip-flops help to detect the pattern in the given string.
Potential of Global Solar Radiation as Future Energy Source in Southern Region of Peninsular Malaysia

Energy sector in Malaysia is still adopting conventional method in electricity generation by using fossil fuel.The effect of fossil fuel utilization in electricity generation is releasing of greenhouse gases (GHGs) in the atmosphere specifically carbon dioxide (CO2).Releasing of uncontrolled GHGs may cause the earth to suffer from global warming.This paper is conducted to study the solar radiation potential at Southern Region of Peninsular Malaysia specifically in Iskandar Malaysia (IM) Region.The daily and annual means of solar radiation is analysed in order to examine the potential of solar energy to be energy source for electricity generation in the future.The results in this study indicate that the annual average of global solar radiation is higher in year 2010 with value of 13.31 MJ/m2/day whilst the lowest value of global solar radiation is recorded in year 2013 at 12.48 MJ/m2/day.The daily maximum global solar radiation values was collected on month of May and September during Southeast Monsoon.The daily minimum global solar radiation values was collected on January and December during Southeast Monsoon.The results also indicate that the maximum and minimum solar radiation captured 694 kWh/day and 651 kWh/day respectively.The results achieved in this study show that the potential to adopt solar energy as future energy source is very encouraging for energy sector.
A Self-Stabilizing Phase Decoder for Quantum Key Distribution

Self-stabilization quantum key distribution (QKD) systems are often based on the Faraday magneto-optic effect such as “plug and play” QKD systems and Faraday–Michelson QKD systems. In this article, we propose a new anti-quantum-channel disturbance decoder for QKD without magneto-optic devices, which can be a benefit for the photonic integration and applications in magnetic environments. The decoder is based on a quarter-wave plate reflector–Michelson (Q–M) interferometer, with which the QKD system can be free of polarization disturbance caused by quantum channel and optical devices in the system. The theoretical analysis indicates that the Q–M interferometer is immune to polarization-induced signal fading, where the operator of the Q–M interferometer corresponding to Pauli Matrix σ2 makes it satisfy the anti-disturbance condition naturally. A Q–M interferometer based time-bin phase encoding QKD setup is demonstrated, and the experimental results show that the QKD setup works stably with a low quantum bit error rate about 1.3% for 10 h over 60.6 km standard telecommunication optical fiber.
Video Super-resolution Reconstruction Using Deep and Shallow Convolutional Neural Networks

So far, convolutional neural networks have proven successful in computer vision fields. In this article, we build a video super-resolution model using deep and shallow convolutional neural networks (VRDS). Continuous video frames are used as input of VRDS after motion compensation, and VRDS provides video frames recovered with super-resolution as output. The shallow CNN restores the fundamental components of HR images, while deep CNN predicts high frequency texture and contour details. To facilitate network training, we jointly train our deep CNN and the relatively shallow CNN as the entirety, resulting in faster convergence and better performance. In deep CNN, the multi-scale receptive field pattern is used for HR recovery, and it can combine the short-distance and long-distance contextual message in the meantime to restore HR images more accurately. Our networks adopt loss fusion, optimized MSE and SSIM to provide high quality visual perception. In the end, the experimental results prove that our method is better than the existing methods in the publicly available datasets.
A framework for assume-guarantee regression verification of evolving software

This paper presents a framework for verifying evolving component-based software using assume-guarantee logic. The goal is to improve CDNF-based assumption generation method by having local weakest assumptions that can be used more effectively when verifying component-based software in the context of software evolution. For this purpose, we improve the technique for responding to membership queries when generating candidate assumptions. This technique is then integrated into a proposed backtracking algorithm to generate local weakest assumptions. These assumptions are effectively used in rechecking the evolving software by reducing time required for assumption regeneration within the proposed framework. The proposed framework can be applied to verify software that is continually evolving. An implemented tool and experimental results are presented to demonstrate the effectiveness and usefulness of the framework.
Chintia Monica Roliani, Natalina Asi, Maria Arina Luardini

AbstractThe research was conducted using qualitative research method with one Englishteacher of SMPN 16 Palangka Raya as the subject of the study, and the objectives are toanalyse (1) the teacher’s use of spoken English in her instruction referring to the Lesson Plan,(2) the structure used by the teacher, (3) the vocabulary used by the teacher. The data wereobtained from class observation and interview with the teacher. The result of data analysisand the discussion of the findings show several matters related to the teacher’s spokenlanguage in English class of SMPN 16 Palangka Raya as follows : (1) The teacher’s use ofEnglish Instruction was appropriate with the Lesson Plan, which included orientation,apperception, motivation, and giving references; (2) the teacher used English spoken languageat first and then followed by Indonesian due to the students’ weakness in English; (3) theteacher used simple vocabulary, which all of them were used to make the condition of theclassroom alive and give relaxing atmosphere that the teacher’s utterances could be easilyunderstood by the students.Keywords : discourse analysis, spoken language
Electroencephalogram Features Based on One Dimensional Local Binary Pattern

This paper discusses the extraction process, to generate unique features of an Electroencephalogram (EEG) signal, using a one-dimensional local binary pattern (1D-LBP) technique.For recognition and classification application, the proposed method has been used to describe the characteristics of an EEG signal.The results of this technique have shown that the unique characteristics of the EEG signal can be obtained well.This paper also presents, an attempt to develop a common feature extraction scheme, which can be used to differentiate ECG features from various EEG signal location.
Automated Collection of Artifacts from a Live Windows System using e-Triage Tool

The evolution of computers and technology is outpacing the effectiveness of forensic techniques.In traditional computer forensic methodology, when an organization is effected by a cyber-attack, the systems were plugged off at the scene which results in loss of acquiring volatile memory and further seized media are analyzed at forensic laboratories to get report.In the current work, a novel e-Triage tool is developed which extracts artifacts present within a defined live windows system.It yields on-site identification and interpretation of digital evidences in a short period of time.The e-Triage tool follows live forensic methodology and facilitates to extract and collect artifacts related to system information, registry, events and network information, Random Access Memory, browsing history, shell bag, page file, hibernation file, swap file and also records the changes done by tool on registry whose novelty improves the forensic report.The current proposed e-Triage tool carries out prioritizing and collecting artifacts in preliminary investigation until a potential source is being identified and from then it accelerates further investigation.
Curriculum Development and Education Officers in/about Culturally Responsive Pedagogy

This paper tries to excavate the perceptions, experiences and non/cooperation of curriculum development officers and district education officers in culturally non/responsive pedagogical approaches of private schools in Nepal. This paper tries to decontextualize and culturally non responsive education cannot address the pedagogical and socio cultural requirements of the learners and multicultural societies. This research is oriented to fundamental traits of interpretivism, criticalism and postmodernism so that the varying and complicated features of culture and culturally responsive pedagogy would be met. Therefore, it would be a heuristics of multi-paradigmatic research. In this paper I have explored the views, experiences and perceptions of responsible government officials working in curriculum designing and implementation in making our educational endeavors culturally responsive. I have tried to delve into 'world of duty' to reveal how result oriented they are. Shifting of responsibilities and lack of professionalism has been found to be the major stumbling blocks.
A Systematic plan of Blockchain Technology on Security Key

In recent decades, blockchain has (slowly) become one of the most frequently discussed methods for securing data storage and transfer through decentralized, trustless, peer-topeer systems.This review provides a complete and detailed documentation of the present technological and literary state of the Blockchain technology within Information Systems research.This paper also identifies peer-reviewed literature that seeks to apply blockchain for cyber security purposes and presents a systematic analysis of the most commonly approved blockchain security applications.It reviews moreover categories the current findings into different concept categories to enable further research into the area.Finally, it is noted that the Blockchain technology in its present state still has way to go before the technology will reach a state considered sufficient for mainstream adoption.
Prediction on Deposit Subscription of Customer based on Bank Telemarketing using Decision Tree with Entropy Comparison

Banking system collect enormous amounts of data every day. This data can be in the form of customer information, transaction details, risk profiles, credit card details, limits and collateral details, compliance Anti Money Laundering (AML) related information, trade finance data, SWIFT and telex messages. In addition, Thousands of decision are made in Banking system. For example, banks everyday creates credit decisions, relationship start up, investment decisions, AML and Illegal financing related decision. To create this decision, comprehensive review on various reports and drills down tools provided by the banking systems is needed. However, this is a manual process which is error prone and time consuming due to large volume of transactional and historical data available. Hence, automatic knowledge mining is needed to ease the decision making process. This research focuses on data mining techniques to handle the mentioned problem. The technique will focus on classification method using Decision Tree algorithms. This research provides an overview of the data mining techniques and procedures will be performed. It also provides an insight into how these techniques can be used in deposit subscription in banking system to make a decision making process easier and more productive. Keywords - Telemarketing, bank deposit, decision tree, classification, data mining, entropy.
PENERAPAN MODEL PEMBELAJARAN PICTURE AND PICTURE PADA MATERI PRINSIP KERJA SISTEM PENGAPIAN ELEKTRONIK

From the results of observations and interviews with the teacher who taught the material understand the working principle of an electronic ignition system at SMK Negeri 2 Katingan Hilir, it’s known that the value of TBSM class XI students has not been fully achieved. This is related to the learning outcomes of some students who scored below 65, which did not meet the KKM score set by the school. This study aims to find out how student learning outcomes after applying the picture and picture learning model. The collection is done by using test methods in the form of pre-test and post-test, student response questionnaire, observation in the form of teacher activity sheets and student activity sheets, as well as documentation. The application of the picture and picture learning model to the material understanding the working principle of electronic ignition system of the students of Vocational High School 2 Katingan Hilir, which has been able to make students who take this model successfully obtain complete results and exceed the KKM set by the school which is 70 with 85.67 and lowest value 69 and classical completeness 95.83%. There is a significant increase in student learning outcomes