Reviewerly/exHarmony huggingface dataset:
Comparing Compressor Interface Designs : How do visual displays on digital compressors impact how audio engineers navigate an interface and the choices they make?

This research tested to see how audio engineers navigate and use compressors differently with alternative designs. A pre-study in the form of a semi-structured interview with a focus group was held ...
Change Impact Analysis by Concept Propagation

Software maintenance is an important phase of the software life cycle. An important task in this phase is to locate code fragments affected by user change requests. However, performing this task manually is costly and requires prior knowledge of the software structure. In previous studies, Latent Semantic Indexing (LSI) has been applied to map the user change queries to the relevant code segments automatically. However, due to the lack of domain knowledge embedded in the source code, LSI might be unable to perform this mapping accurately. In this paper, we have proposed a domain knowledge propagation method to obtain more relevant impact set for each change request. This method spreads the user interface originated domain knowledge to the program classes according to the program dependency graph. The proposed method has been applied to ArgoUML case-study which is an open-source project associated with its change requests. It was observed that applying the concept propagation resulted in 5% increase in the accuracy of the plain LSI method.
Peningkatan Kemampuan Menulis Permulaan dengan Metode Analisis Glass

This study aims to determine the increase in the ability to write early using the glass analysis method. This research is a case study of grade 1 elementary school students who have difficulty writing beginning. After identification of the main factors children have difficulty writing (disgrafia), namely factors in their own children and the environment, especially parents and daily habits at home. The use of creative methods such as the glass analysis method, namely the separation of syllables, makes it easier for students to write because they remember one by one syllables that will be arranged into a word and sentence. Conclusion, the provision of learning using the glass analysis method can provide an improvement in the writing ability of students' beginning&#x0D; Keywords: Writing Ability, Glass Analysis Method
Influence of Mobile Phone Use on Secondary Schools Students’ Discipline, in Moshi Municipality, Kilimanjaro, Tanzania

Introduction and BackgroundStudents' disciplinary problem has been a major concern in schools and a major challenge facing teachers at school and society at large.Students as key stakeholders and the most essential resources in education it is absolutely necessary to direct them to exhibit acceptable attitude and behaviour within and outside the school.It has been noted that these disciplinary problems can be the main hindrance to effective teaching and learning.In an attempt to achieve an organized and peaceful school environment and maintain law and order, school management specifies rules and regulations to guide the activities of members of the educational institution as sound education can be provided when there is discipline in schools.The aim and objectives of the education and training policy in Tanzania are stated as meant to inculcate a sense of self confidence, to develop enquiring minds in students to develop respect for human dignity and to make students socially responsible for the national welfare (Ministry of Education & Vocational Training [MoEVT], 1995).In order to make a good society the school can be seen as a workshop over the individual.Character comprises the willing of the individual for goodness of other people and moral thought, behaviours for being honest and responsible, personal and affective properties of the one across various circumstances for creating effective approaches, and affective commitment of the individual.Good character helps people to have a democratic life style which includes being equal and respectful to other people and being able to add positive values to the society (Battistich, 2005).Poor discipline in schools creates violence and unsafe environment within a school community resulting in lower achievement rates.Indiscipline in schools often includes truancy, drug abuse, peddling drugs, bullying, drinking alcohol, smoking, sexual affairs, abusive language, bad dressing style and theft.Simatwa (2002) noted that the major aim of discipline both in school and at home should be to nurture young people who will be responsible citizens in future.The aim of school discipline should therefore be seen to help students cope well, be happy, safe and useful to the society they belong.
Development of an Eye- and Gaze-Tracking Mechanism in an Active and Assisted Living Ecosystem

This paper details the development of an opensource eye-and gaze-tracking mechanism designed for open, scalable, and decentralized Active and Assisted Living (AAL) ecosystems built on Wireless Sensor and Actuator Networks (WSANs).Said mechanism is deliberately conceived as yet another service-feature in an on-going implementation of an extended intelligent built-environment framework, one motivated and informed by both Information and Communication Technologies (ICTs) as well as by emerging Architecture, Engineering, and Construction (AEC) considerations.It is nevertheless designed as a compatible and subsumable servicefeature for existing above-characterized AAL frameworks.The eye-and gaze-tracking mechanism enables the user (1) to engage (i.e., open, shut, slide, turn-on/-off, etc.) with a variety of actuable objects and systems deployed within an intelligent builtenvironment via sight-enabled identification, selection, and confirmation; and (2) to extract and display personal identity information from recognized familiar faces viewed by the user.The first feature is intended principally (although not exclusively) for users with limited mobility, with the intention to support independence with respect to the control of remotely actuable mechanisms within the built-environment.The second feature is intended to compensate for loss of memory and/or visual acuity associated principally (although not exclusively) with the natural aging process.As with previously developed service-features, the present mechanism intends to increase the quality of life of its user(s) in an affordable, intuitive, and highly intelligent manner.
Quaternion Security Using Modifying Vernam Cipher With İmage Steganography

The Internet is the essential wellspring of data in the present life where it offers the trade of data to the clients.The exchange of such data prompts an incredible security danger.Cryptography and steganography are two issues in security systems.Cryptography jumbles the message to be incomprehensible While Steganography shroud the message To be invisible.Therefore, Encryption any private data before concealing in the cover object will provide twofold security.This paper presents a technique for disguise message with four levels of security where the message first encrypt using modifying vernam cipher, in which the initial key originate automatically from random pixel of camouflage cover and alter continuously along message length then embedded cipher message in grayscale cover image, after that encrypt this cover using modifying vernam cipher also then embedded it in RGB color cover image.The simulation consequence illustrates that the scheme provides better protection.
Secure Intermittent Computing

Low-power embedded systems exist in many forms. Using batteries for these devices generally imposes high maintenance costs and there are many applications where a grid connection is not feasible [1 ...
THE DEVELOPMENT OF ENTREPRENEURIAL SKILLS AMONG STUDENTS OF AVERAGE PROFESSIONAL EDUCATIONAL INSTITUTIONS: THE EXPERIENCE OF THE TOMSK REGION

The paper aims to define the solution to the problem of developing entrepreneurial skills among students. Based on the experience of developing and shaping entrepreneurial skills and professional competencies in the Tomsk region, it is proposed to organize educational activities in two areas: the actual educational (introduction of academic disciplines) and extracurricular (participation in competitions and programs of entrepreneurial projects).
ORCID in Authority Files (NNL-10, VIAF, OCLC and more)

in Authority Files (NNL-10, VIAF, OCLC and more) was presented by Ahava Cohen (The National Library of Israel) at the ORCID Israel Consortium Workshop on March 27, 2019.
Insights into the Economy of Open Scholarship: A look into Zenodo with Tim Smith, head of collaboration, devices and applications, CERN/IT

Following the report Knowledge Exchange Approach to Open Scholarship and in line with the recommendations resulting from the workshop Moving from Ambition to Reality, two interconnected activities have been dedicated to the Economy of Open Scholarship, one conceptual, one practical. The practical activity - Insights into the Economy of Open Scholarship: A Collection of Interviews - have collected examples which illustrate how pioneering initiatives set up and operate new or alternative business models in the area of Open Scholarship. Interviews with a selection of initiatives have been conducted to build this collection to illustrate the successes and challenges within the economy of Open Scholarship. The purpose of this practical investigation is to inform and inspire a transition to Open Scholarship. Through a collection of interviews, including highlights and currents trends, the collection displays how pioneers and early adopters of openness pave the way for unhindered access to research outputs in relation to research community needs and practices. Interviews have been conducted with ten selected initiatives including:1. Open Library of Humanities (OLH) (UK): Martin Paul Eve 2. OpenEdition (FR): Pierre Mounier 3. Opasnet (FI): Jouni Tuomisto 4. ASAPBio (US): Jessica Polka 5. ScienceOpen (GER): Stephanie Dawson 6. HRCAK (HR): Jadranka Stojanovski 7. Helsinki University Press (HUP) (FI): Leena Kaakinen 8. Impactstory (US): Heather Piwowar 9. Figshare (UK): Mark Hahnel 10. Zenodo (CH): Tim SmithFull details of all interviews are available on the Knowledge Exchange website: http://www.knowledge-exchange.info/event/insights-into-open-scholarship
Image Search Using Features and Social Ranking

specific Social-Visual Ranking(SVR), Social image search, Image re-ranking, Social relevance, feature extraction, tagging
Predictability of School Administrator’s Job Satisfaction through Hybrid Segmentation-based Prediction Model

Today, various researchers have amplified the use of data mining techniques in almost all sectors of society.In this study, the effectiveness of data mining techniques, particularly the use of K-Means segmentation in aid of increasing prediction accuracy when used to job satisfaction dataset is observed.Researches on job satisfaction have long been acclaimed as the prime index of worker's wellbeing as well as a core motivational construct that plays key implications for organizational and administrative policy.Due to the advent of technology, well-established mining and extraction of knowledge from databases are optimized.In this paper, the use of predictive models such as C4.5, DT, Naïve Bayes, OneR, KNN, and JRip algorithms was observed.However, prior to prediction, the variables from the dataset obtained from the 157 school administrator-respondents from the Department of Education, Division of Surigao del Norte, Philippines was segmented using the K-Means algorithm.This study strengthens the notion that a reduced number of variables in the dataset increases the accuracy of a prediction model.Simulation results showed that with the integration of K-Means segmentation, an accuracy of 83.54% using Decision Table algorithm is depicted from the previously identified 82.16% using the DT algorithm alone.
THE STUDENTS’ DECODING ABILITY IN COMPREHENDING READING A TEXT

This study aimed to know the students’ decoding ability in comprehending reading text. Related to the object of the research, the researcher used the descriptive method by using quantitative approach. The research was conducted at the fourth semester of English Program. The population of this research was the all students of fourth semester of English program at STAI Hubbulwathan Duri in academic year 2017/2018.The sample of the research was 13 students. In analyzing the research data, the researcher used SPSS. The data were taken from the students’ decoding ability in comprehending reading text is test score. Based on statistical calculation in data analysis, the researcher interpreted test score. From the calculation, the result mean values that researcher obtained through analyzing the data that has been collected from sixth components of decoding ability in comprehending reading text, they are previewing, reading for main idea, using context for vocabulary, scanning for detail, making inference and locating reference is around “76.73‖ and from that data, the researcher can conclude that the value is in ―Average‖ category.
Evaluation of Similarity Metrics Under the Context of an Autonomous Reactive System

Currently, in the field of robotics, institutions and researchers are working on the design and development of autonomous navigation systems on robots for dynamic environments. The most advanced implementations of autonomous behaviors are found on vehicles or wheeled devices, allowing them to move on controlled environments and even on rough terrain. In this paper, it is presented the design of an autonomous reactive system for humanoid robots. This system requires to know the current state of the robot, during a specific activity, to make the right reactive action for a specific situation. In the context of inquiring the current state of the robot, we consider the implementation of a knowledge base populated with diverse states of the joints and their possible reactive actions. To recover the possible reactive actions from the knowledge base, it is required to search for the current state of the robot in the knowledge base. However, this process may incur in high computational cost depending on the size of the knowledge base. Therefore, in this work, we carried out a comparative study of six similarity metrics, with the objective of identifying the metric that offers the best computational time. In these studies, it is identified that the metrics with lower mathematical complexity showed the best results. Additionally, we used Wilcoxon and Friedman statistics tests to assess the performance of the similarity metrics. Finally, we included an analysis of the characteristics and functionality of several similarity metrics, which showed that some of them are not suitable in the context of our proposal. On the other hand, other metrics were identified as viable and with potential for future works.
Use of information uncertainty in identification tasks

Informational methods for analyzing and managing systems under uncertainty are studied.The expediency of use of information uncertainty in tasks of identification of control objects and synthesis of regulatory systems is justified.For the numerical evaluation of information uncertainty, an amount of disinformation is used as Bongard's negative useful information.Such information uncertainty can serve as a criterion for the adequacy of a mathematical model of a control object.Information assessment of the modeling accuracy is applicable to any method of identification and allows a researcher to compare the accuracy of models that differ from each other by the method of obtaining (analytical or experimental), nature (deterministic or stochastic models), specific implementation (physical or mathematical models).In the course of parametric identification, an optimization problem of finding a minimum of information uncertainty in the parameter space of a mathematical model can be solved.The information uncertainty criterion provides verification of the statistical hypothesis about the adequacy of a particular model.If the criterion value exceeds a certain critical value, the adequacy hypothesis must be rejected.To calculate the critical values of the information adequacy criterion, a statistical experiment was performed.Using the Monte Carlo method, the probability distribution of the information criterion was investigated.A sufficiently smooth empirical criterion distribution function was constructed.The distribution of the information criterion has a pronounced asymmetry and a small positive kurtosis.It is revealed that this distribution is best approximated by the Generalized Extreme Value Distribution law.The critical value can be defined as a quantile of the level of 0.01 or 0.05 for this distribution.
Students’ Motivation In Learning Vocabulary By UsingVideo Songs And Pictures (A Case Study Of 15 Students With Dyslexia At Sds Tunas Indonesia Bintaro)

The purpose of this study is to show the students’ motivation in learning English vocabulary, especially for students with dyslexia. This study entitled is “Students’ Motivation In Learning Vocabulary by Using Video Songs and Pictures” (a case study of 15 students with dyslexia at SDS Tunas Indonesia Bintaro). This study was conducted to show the learning activities in motivating the students with dyslexia in learning English vocabulary. The method used in this study was qualitative, through observation, documentation and questionnaire. This study was conducted by direct observation in two different classes. In conducting the study, the writer involved two English teachers; a local English teacher and native English teacher. The data were collected by observing the process of learning vocabulary in the class, giving the questionnaire to the students to know their motivation in learning vocabulary by using video songs and pictures, and taking pictures while learning process in the class as documentation. The study used the theory of Wu (2003), about instrinsic and extrinsic motivation. The result showed that the implementation of learning vocabulary by using video songs and pictures made the students with dyslexia enjoyed the learning process also made them interactive more with the teachers and friends in the class. Besides that, the students with dyslexia interested more and excited in studying vocabulary by using video songs and pictures. In summary, learning vocabulary by using video songs and pictures made the students with dyslexia motivated in learning English vocabulary.Key words : Students motivation, Teaching vocabulary, Video songs and pictures, and students with dyslexia.
LibGuides: Data Management and Sharing: Citing Data and Digital Research Objects

This guide provides current resources available to the Brown University community for management, long-term storage, and, when appropriate, sharing of research data as required by funders and journals. Contact data_management@brown.edu for assistance.
Implementation of the Attacks on the BM-FssAgg and AR-FssAgg Signature Schemes

This publication contains the implementation of the attacks on the BM-FssAgg and AR-FssAgg cryptographic signature schemes.These attacks were published and presented at the Financial Cryptography Conference 2017.
Factors Associated with Open Defecation in Flood-Prone Areas in Indonesia

Background: Open defecation (OD) is the human practice of defecating outside (in the open environment) rather than into a toilet.This practice is still happening in some countries, especially in low-and middle-income countries (LMIC).Natural disaster can happened to worsen the OD practice.There is still no study that eligible to the association of natural disaster and OD practice.This study aimed to determine the factors associated with open defecation in flood-prone areas in Indonesia. Subjects and Methods:This was an observational study.The data were obtained from Basic Health Research (Riskesdas) and National Socio-Economic Survey (Susenas), in 2013.OD practice and socio-demographic characteristics of the households were obtained from Riskesdas in 2013.Flood experience of the households was obtained from Susenas in 2013.The data were analyzed by multivariate logistic regression and odds ratio (OR) as the measure of association.Results: Out of 835,256 people, 18.93% reported defecation in an open environment.The OD prevalence was higher in the rural areas (28.61%) than in the urban areas (7.48%).People lived in flood-prone area was more likely to practice OD (OR= 1.85; 95% CI= 1.81 to 1.89; p< 0.001) than those who lived in non-flood-prone area.Access to drinking water, sanitation facility, and household socioeconomic status were also found to be significantly associated with OD practice.Conclusion: Open defecation (OD) practice in the rural area is higher than in the urban area.People lived in flood-prone area is more likely to practice OD.Access to drinking water, sanitation facility, and household socioeconomic status are associated with OD practice.
Politeness in Firends TV Series: Does it Represent American Value?

This research intends to analyze utterances of conversation in Friend’s TV Series Season 1 of 24 episodes to find out whether or not politeness represents American value, especially the value of independence with which American Society is associated with. The method used is content analysis in which eleven speech situations with the theme of ‘friendship’ and sub themes of ‘asking for favor’ and ‘gift giving’ are analyzed. First, utterances are analyzed to see the form and meaning; second, they are identified of their politeness function. Third, they are analyzed to see their relation with the value of independence; fourth or lastly, language feature of each politeness is identified. The result of the research shows that politeness showing agreement is realized in 7 speech situations or 63.64%; politeness showing tact is realized in 4 speech situations or 36.36%; and politeness showing generosity is realized in only one speech situation or 9.09%. The language feature used are the words of support and agreement: yeah, right, go, okay, sure, you got it, I can’t believe.
Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study

Abstract The development of custom interactive visualization tools for specific domains and applications has been made much simpler recently by a surge of visualization tools, libraries and frameworks. Most of these tools are developed for classical data science applications, where a user is supported in analyzing measured or simulated data. But recently, there has also been an increasing interest in visual support for understanding machine learning algorithms and frameworks, especially for deep learning. Many, if not most, of the visualization support for (deep) learning addresses the developer of the learning system and not the end user (data scientist). Here we show on a specific example, namely the development of a matrix calculus algorithm, that supporting visualizations can also greatly benefit the development of algorithms in classical domains like in our case computer algebra. The idea is similar to visually supporting the understanding of learning algorithms, namely provide the developer with an interactive, visual tool that provides insights into the workings and, importantly, also into the failures of the algorithm under development. Developing visualization support for matrix calculus development went similar as the development of more traditional visual support systems for data analysts. First, we had to acquaint ourselves with the problem, its language and challenges by talking to the core developer of the matrix calculus algorithm. Once we understood the challenge, it was fairly easy to develop visual support that streamlined the development of the matrix calculus algorithm significantly.