Reviewerly/exHarmony huggingface dataset:
Analysis of Developers’ Network and Change Burst Metrics as Predictors of Software Faults

Introduction: Many software quality metrics that can be used as proxies of measuring software quality by predicting software faults have previously been proposed. However determining a superior predictor of software faults given a set of metrics is difficult since prediction performances of the proposed metrics have been evaluated in non–uniform experimental contexts. There is need for software metrics that can guarantee consistent superior fault prediction performances across different contexts. Such software metrics would enable software developers and users to establish software quality. Objectives: This research sought to determine a predictor for software faults that requires least effort to detect software faults and has least cost of misclassifying software components as faulty or not given developers’ network metrics and change burst metrics. Methods: Experimental data for this study was derived from Jmeter, Gedit, POI and Gimp open source software projects. Logistic regression was used to predict faultiness of a file while linear regression was used to predict number of faults per file. Results: Change burst metrics model exhibited the highest fault detection probabilities with least cost of mis-classification of components as compared to the developers’ network model. Conclusion: The study found that change burst metrics could effectively predict software faults.
A methodology for procedural piano music composition with mood templates using genetic algorithms

Creating music in an automatic way has been studied since the beginning of artificial intelligence. One of the biggest obstacles of music generation is the vagueness and subjectivity of the mood or emotion transmitted by a music piece. In this work, we experiment with the generation of piano music using template pieces, represented in MIDI format, as a mood directive. We generated a population of random pieces for templates of two opposing moods - happy and sad - and evolved them with a genetic algorithm until their intended mood was close enough to their respective templates. The fitness function that we implemented uses MIDI statistical features to calculate the distance between the given piece and the template. The generated music pieces were evaluated by human listeners thorough a questionnaire. This evaluation has shown that the generated music pieces were able to express the same mood as the template. However, they still sounded computer-generated, probably due to the lack of rhythm regularity and synchronicity.
Design and Development of the E-Bonang Musical Instrument as an Integration of Music and Electronic Prototyping for Educational Purposes

Bonang is one of the instruments used in the gamelan orchestra, which is one of the most valuable cultural heritage of Malaysia. However, due to its high price and bulkiness of the traditional design, the Gamelan is beyond the reach of many schools and musicians in terms of affordability, space and mobility. Development of the E-Bonang is an innovative approach to solve these issues as well as sustaining and promoting this musical heritage through technology to a wider audience, especially the younger generation. The aim of this paper is to highlight the design and developmental process of the E-Bonang musical instrument and the potential of the device in integrating both music education and electronic prototyping education. One of the main contributions of this design approach is that the instrument’s weight will be reduced up to 60% and can be manufactured with much lower cost. The product has the potential of introducing students to traditional music education (gamelan) while emphasizing the D.I.Y feature of electronic prototyping as an experiential education which includes circuit building, microcontroller programming, sound experimentation and product assembly.
Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments

Value-based decision making in complex environments, such as those with uncertain and volatile mapping of reward probabilities onto options, may engender computational strategies that are not necessarily optimal in terms of normative frameworks but may ensure effective learning and behavioral flexibility in conditions of limited neural computational resources. In this article, we review a suboptimal strategy – additively combining reward magnitude and reward probability attributes of options for value-based decision making. In addition, we present computational intricacies of a recently developed model (named MIX model) representing an algorithmic implementation of the additive strategy in sequential decision-making with two options. We also discuss its opportunities; and conceptual, inferential, and generalization issues. Furthermore, we suggest future studies that will reveal the potential and serve the further development of the MIX model as a general model of value-based choice making.
Adaptive Success Rate-based Sensor Relocation for IoT Applications

Small-sized IoT wireless sensing devices can be deployed with small aircraft such as drones, and the deployment of mobile IoT devices can be relocated to suit data collection with efficient relocation algorithms.However, the terrain may not be able to predict its shape.Mobile IoT devices suitable for these terrains are hopping devices that can move with jumps.So far, most hopping sensor relocation studies have made the unrealistic assumption that all hopping devices know the overall state of the entire network and each device's current state.Recent work has proposed the most realistic distributed network environment-based relocation algorithms that do not require sharing all information simultaneously.However, since the shortest path-based algorithm performs communication and movement requests with terminals, it is not suitable for an area where the distribution of obstacles is uneven.The proposed scheme applies a simple Monte Carlo method based on relay nodes selection random variables that reflect the obstacle distribution's characteristics to choose the best relay node as reinforcement learning, not specific relay nodes.Using the relay node selection random variable could significantly reduce the generation of additional messages that occur to select the shortest path.This paper's additional contribution is that the world's first distributed environment-based relocation protocol is proposed reflecting real-world physical devices' characteristics through the OMNeT++ simulator.We also reconstruct the three days-long disaster environment, and performance evaluation has been performed by applying the proposed protocol to the simulated real-world environment.
Digital Literacy Based on Local Wisdom in Language Learning

This paper aims to determine the application of language teaching in the digital era based on local wisdom. Who plays a role in the learning process. The Indonesian language subject is very likely to help in the application of local wisdom for students in this digital era by incorporating it into learning. Indonesian is one of the lessons in which it teaches various kinds of lessons related to everyday human life. In this digital era, learning Indonesian based on local wisdom has to be improved by the presence of technology and the proliferation of slang languages that do not reflect positive characters. The community has a broad role in helping the world of education in introducing local wisdom in the lives of their students. With the mastery of digital literacy, students are able to use digital technology tools to become citizens who have a sense of nationalism, are responsible, have a sense of pride in being Indonesian citizens, and can set a good example for the next generation, and preserve local culture and regional languages. Learning Indonesian based on local wisdom in the digital era is very appropriate so that students are able to develop an interest in using Indonesian, have a sense of love for the country, and form student understanding and skills in solving social problems that occur in life. Respondents strongly agree that digital literacy can be mastered if individuals have adequate language skills through language learning. Respondents also strongly agree that language has an important role in digital literacy. From the results and discussion, it was also found that good and correct language can affect a person‘s literacy skills. Even though they are good at digital literacy, respondents agree that the characteristics of locality must be maintained
On quality assessment of electronic training course interfaces

The development of e-learning, both in distance and mixed forms, becomes especially relevant in the modern educational process. A high-quality e-learning course is developed through the efforts of two parties: the teacher, who creates the methodological content, and the programmer, who creates the electronic shell of the course. The article substantiates the importance of quality issues in the development of a user interface for electronic educational resources, since the user of an electronic course deals with the direct implementation of educational material. The indicators for assessing the quality of software products in accordance with international and Russian standards and their applicability for assessing user interfaces of electronic educational resources are analyzed. The conclusion is made about the importance of the indicator “practicality” in relation to this type of software product as an indicator of an individual evaluation of the use of a product by a certain user or circle of users. The classical methods for assessing the quality of the human-machine interaction interface and the applicability of experimental and formal methods for assessing quality are considered. The analysis of modern approaches to the design of user interfaces based on UX/UI design is given. An assessment of the requirements and criteria for assessing the user interface from the standpoint of modern design is given. The tasks and features of the UX and UI components of the design process are analyzed. The essence of the modern term “usability” as an indicator of the interface evaluation is explained, and the qualitative evaluation criteria for this indicator are considered. The concept of UX testing is given, the main stages of this process are considered. The importance of taking into account the subjective psychological factors of interface perception is substantiated. The indicators for assessing the quality of user interfaces, based on the cognitive factors of its perception by a person, are analyzed.
MODERN DESIGN EDUCATION: THE EXPERIENCE OF ASIAN COUNTRIES

The article is devoted to the consideration and identification of the features of modern design education in Asian countries on the example of Singapore.It is emphasized that Singapore is one of the most developed countries in the world in the field of education, which is confirmed by the assessment of the International Center for Education Quality PISA: in 2018 Singapore ranked 2nd among 180 countries on three indicators (mathematics, science, reading).The modern education system of Singapore is described.The strategy for the development of Singapore until 2025, which contains recommendations for the development of design education, is considered.Defining skills of design students in the following areas are systematized: innovative business model, content development and strategy, creative entrepreneurship, sustainable development of design and ethics management, "responsive" design, interaction design practice, systems thinking, user interface design.The list of educational institutions that train designers for different sectors of the economy is presented.
LibGuides: Getting Started: Logging In

Are you new to HeinOnline? Do you have questions about the basics of HeinOnline research? Follow this guide to get started with our research platform. Learn how to log in to HeinOnline
DLRmagazine 163 – Metropolitan transformer

The DLRmagazine's fourth issue of 2019 has been published. The topics in issue 163 range from space to Earth, and span from the north to the South Pole. The cover image features the Urban Modular Vehicle – a project of DLR's transportation research.The urban car of tomorrow must meet three requirements: it should be be clean, safe and autonomous. According to DLR researchers, we will drive intelligent electric modular vehicles that come in variants ranging from small cars to delivery vans. The car with which we will be travelling individually in the future will be rethought. In the meantime, the Polarstern research vessel is moving in a completely different direction. The research vessel is drifting frozen in sea ice through the Arctic Ocean as teams from 19 countries head for the epicentre of climate change. On board is a DLR antenna for receiving satellite signals. The data it collects will be used for research into better positioning and navigation services. Read more about the largest expedition in the history of Arctic research and about DLR's 'passenger' on board in the article 'Go with the floe'. The DLR research aircraft, HALO, was on its way to the other end of the world. From Argentina, it investigated the air above the South Polar region in order to better understand the chemical and physical processes at play in the atmosphere. The DLRmagazine reports on this 'Night flight at the end of the world'.Finally, we honour two extraordinary personalities. With the help of Andrea Wulf, one of Alexander von Humboldt's biographers, we immerse ourselves in his cosmos and celebrate the 250th birthday of the explorer, environmentalist and communicator. We also remember a more recent explorer, Sigmund Jahn, the first German to go to space. The cosmonaut aviator, a colleague held in high regard and with great affection not just by his fellow astronauts, passed away on 21 September 2019.As always, we feature many exciting research projects and include interesting recommendations for your time of leisure.
Clifton Fowler Library: Computer Science, Networking, & Cyber Security: Web Resources

Collection of resources for Computer Science, Networking and Cyber Security (articles, books, and websites) Websites in the realm of Computer Science, Networking and Cyber Security
PENGARUH LITERASI MEDIA SOSIAL TERHADAP KESADARAN KRITIS MASYARAKAT UNTUK MENGHINDARI MODUS PENIPUAN ONLINE : Survei Pengguna Media Sosial Instagram Pada Mahasiswa Program Studi Ilmu Komunikasi UPN “Veteran” Jakarta

The development of communication technology is increasingly growing rapidly. The communication media that is most widely used by many people is social media, one of which is Instagram. According to Napoleon Cat data, Instagram social media users in Indonesia as of November 2020 amounted to 81,770,000. Based on the number of social media users, Instagram is also followed by the amount of information received. In this study, researchers will conduct research on the effect of social media literacy on UPN “Veteran” Jakarta Communication Study Program students in an effort to avoid online fraud mode on Instagram social media. Researchers used James Potter's theory of media literacy to measure the effect of social media literacy on people's critical awareness. In this study, researchers used a quantitative approach by determining as many as 92 people who would be respondents to be researched. This study uses an explanative survey method, which can be said that there is a strong influence of 0.794 social media literacy on people's critical awareness to avoid online fraud mode. The results of testing the coefficient of determination showed the effect of Social Media Literacy on Community Critical Awareness of 63%, while the remaining 37% was caused by other factors not examined in this study. The results of hypothesis testing from this study obtained tcount of 12.406. So hereby H0's statement is rejected and H1 is accepted. This means that there is an influence of Social Media Literacy on Community Critical Awareness to avoid online fraud mode.
The Technology Of Rotation Model Of Blended Learning Method In Technical Institutions

In this research we defined the effects of Rotation Model of Blended Learning method on first-year students’ attitude toward English as a foreign language (EFL). An experimental part was performed to two intact groups consisting of 40 students at Moscow Aviation Institute (National Research University). Two groups of students with the same language level were taken but two different strategies were applied to carry out the experiment. We taught the control group using traditional teaching approach. The integration of Rotation Model of blended learning method was used while teaching the experimental group. Students from both groups were testing before and after to measure their efficiency and relation toward EFL. We noticed significant difference between the respective average growth scores of the two groups under our consideration. Findings showed a considerable difference in their achievements before the test and after it though only the experimental group demonstrated substantial different attitude toward EFL. The authors defined the existence of a considerable difference in results of the two groups as well as in their relation toward EFL where the experimental group was announced to show better results. A slight positive ratio between the efficiency and relation toward EFL could be observed from the experimental group.
ASSESS THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMMED REGARDING COLLECTION OF CORD BLOOD FOR STEM CELL THERAPY AT BRAM HOSPITAL OF RAIPUR

The stem cells, derived from the cord blood are hematopoietic stem cells. These have immense potential in curing blood related disorders like blood cancers, thalassemia etc. These can be useful in treating tissue related disorders of heart, bone, spinal cord etc. Stem cells are characterized by the ability to renew through mitotic cell division and differentiate into a diverse range of specialized cell types. Stem Cells are the basic building blocks of the body and have the potential to replenish other cells and give rise to number of tissues which constitute different organs. To conduct the study, 60 antenatal mothers are selected the age range of subjects was 21 to 40 years. The need for the study arises after knowing those antenatal mothers were unaware and having inadequate knowledge regarding cord blood collection for stem cell therapy. The above facts created an interest to conduct a structured teaching programme to assess its effectiveness on knowledge and attitude of antenatal mother on cord blood collection for stem cell therapy. The pretest, the mean score of knowledge is 13.2 mean % is 50.7, &amp; attitude is 31.58, mean % 63.16, the post test the mean score of knowledge is 18.1, mean % is 69.65. Attitude 38.05, mean % 76.1.
The Common Move and Step in Research Article Abstracts

Abstract: Move and step are components that can provide effective contribution to overall communicative purpose in research article. This study aims to investigate the moves and steps in 48 abstracts publication from cross-disciplinary study under UM journal website. The design of this study is qualitative research. Swales et.al (2014) and Hyland’s (2000) models are used to identify moves and steps occurrence. The result shows that the majority of abstracts use M3 (46 abstracts), M4 (44 abstracts), M2 (40 abstracts). Authors mostly apply step 1 in M2 (40 times), step 1 in M4 (42 times), and step 3 in M3 (35 times). Abstrak: Moves and Steps adalah komponen yang dapat memberikan kontribusi efektif untuk keseluruhan tujuan komunikasi dalam artikel penelitian. Penelitian ini bertujuan untuk menyelidiki langkah-langkah dan langkah-langkah dalam 48 publikasi abstrak dari studi lintas disiplin di situs web jurnal UM. Desain penelitian ini adalah penelitian kualitatif. Model Swales et.al (2014) dan Hyland (2000) digunakan untuk mengidentifikasi keberadaan moves dan steps. Hasilnya menunjukkan bahwa mayoritas abstrak menggunakan M3 (46 abstrak), M4 (44 abstrak), M2 (40 abstrak). Penulis kebanyakan menerapkan step 1 di M2 (40 kali), step 1 di M4 (42 kali), dan step 3 di M3 (35 kali).
Verifiable Integrity and Availability for Code and Execution in Simple Embedded Systems

Author(s): De Oliveira Nunes, Ivan | Advisor(s): Tsudik, Gene | Abstract: Modern society is increasingly surrounded by, and is growing accustomed to, a wide range of Cyber-Physical Systems (CPS), Internet-of-Things (IoT), and smart devices. They often perform safety-critical functions, e.g., personal medical devices, automotive CPS as well as industrial and residential automation (such as sensor-alarm combinations). On the lower end of the scale, these devices are small, cheap, and specialized sensors and/or actuators. They tend to host small CPUs, have small amounts of memory, and run simple software. If such devices are left unprotected, consequences of forged sensor readings or ignored actuation commands can be catastrophic, particularly, in safety-critical settings. This prompts the following questions: (1) How to trust data produced, or guarantee that actions will be performed, by a simple remote embedded device?, (2) How to bind actions and results to the execution of expected software? and, (3) Can (1) and (2) be attained even if all software on a device can be modified and/or compromised (e.g., by malware) at any given time?This dissertation presents a set of hardware/software co-designs for obtaining several security services – namely remote attestation, TOCTOU-avoidance, proofs of execution, and root of trust availability – which can be used to assure the integrity and availability of software and its execution, even on some of the most resource-constrained micro-controllers. We realize these services with four formally verified and publicly available architectures (VRASED, RATA, APEX, and TAROT) and show how they have been securely implemented atop the TI MSP430 micro-controller at a relatively low cost.