Reviewerly/exHarmony huggingface dataset:
Software quality model based on SQuaRE standards

Quality is one of the factors that ensure the commercial success and safety of using the software. Quality is understood as conformity the explicit and implicit requirements of various stakeholders. It is necessary to ensure a joint understanding between developers and users, engineers need to understand the meaning of the concept of quality, characteristics and importance of quality for the developed or maintained software. Measurements are the basis for quality assurance. They are the main tool for managing the life cycle of software products, assessing the implementation of plans and monitoring. To quantify quality, it is necessary to measure the characteristics of the software. Standardization provides unification of requirements for quality, its measurement and assessment. The use of standards has many potential benefits for any organization, especially in key areas such as measuring the quality of software products, information and measurement systems. Recognized international standards organizations have published the ISO/IEC 25000 series of standards for systems and software quality requirements and evaluation SQuaRE, which is gaining widespread practical application. The paper discusses a series of international standards SQuaRE, analyzes the relationship between the quality model, quality characteristics, quality measures and a new concept – a quality measure element of the software, presents the measurement of quality based on these standards.
STATE-OF-THE ART IN AGRICULTURE DIGITAL MANAGEMENT ROMANIA CASESTATE-OF-THE ART IN AGRICULTURE DIGITAL MANAGEMENT ROMANIA CASE

Agriculture, animal and plants management are nowadays subject of profound transformations aimed at sustainable development.The article show up performance of digital agricultural management by implementing appropriate software and hardware elements in areas subject to desertification and beyond.Digitalization and Tele_ transmission both on s&m farms and on large plantations used to forecast and eliminate disasters caused by pests, dryness and nutrient compatibility are already implemented but are still topics of discussions and reluctant on the part of Romanian farmers.A survey was launched throughout Romania and it was disseminated by National Rural Development Network (NRDN) to find out the weaknesses and threats but also the opportunities and strengths that would determine the implementation of digital methods and infrastructure in Romanian agricultural management, in order to keep pace with the imposed one by the economic, demographic and climatological conditions.
Pengembangan Media Praktikum PCT (Paper Chromatography Techniques) Berbasis Android dengan QR Code Technology pada Materi Pemisahan Campuran

The purpose of this study was to develop an android-based PCT (Paper Chromatography Techniques) practicum media with QR code technology on mixed separation materials to help improve the quality of learning, especially in general chemistry practicum courses. This development is carried out using a 4D (four-D) research design, namely defining, designing, developing, and disseminating. At the definition stage, the formulation of the practicum objectives is carried out, the design stage is carried out by designing practicum media, while at the development stage the practicum media content validation is carried out by media experts and material experts, the dissemination stage is carried out through e-learning at Bengkulu University. The distribution of practicum media is carried out after the media is declared valid by the validator, namely material experts and media experts. The practicum media validation score by material experts is 70 which is in the "Eligible" category, while the validation results by media experts get 52 which is in the "Eligible" category. The results of the feasibility assessment of practicum media by students also showed results that were in the "appropriate" category with a conversion value of 31.93. Student responses to the PCT practicum media show an average score of 207.5 with a conversion value of 3.98 in the "agree" category. This can be interpreted that in general students agree with the aspects contained in the PCT practicum media so that the PCT media developed can be used in the learning process.
VGTC Virtual Reality Significant New Researcher Award

The 2022 IEEE VGTC Significant New Researcher Award goes to Mar Gonzalez-Franco of Microsoft, in recognition of her research and incipient leadership in the field of Virtual Reality and spatial computing. Her work has provided new insights on how people behave and perceive avatars, haptics, sound and multisensory signals inside Virtual Reality. She has produced numerous new prototypes advancing the state of the art on haptic controllers and haptic displays. She has been prolific in proposing new theories and standardized methods of evaluation for different phenomena such as embodiment, locomotion, the uncanny valley of haptics, avatar self-recognition and the self-avatar follower effect. Meanwhile, Dr. Gonzalez-Franco has helped democratize access to VR technology by open sourcing of avatars and avatar animation libraries (Microsoft Rocketbox).
A New Text Summarization Approach based on Relative Entropy and Document Decomposition

In the era of the fourth industrial revolution, the rapid relay on using the Internet made online resources explosively grow.This revolution emphasized the demand for new approaches to utilize the use of online resources such as texts.Thus, the difficulty to compare unstructured resources (text) is urging the demand of proposing a new approach, which is the core of this paper.In fact, text summarization technology is a vital part of text processing, therefore.The focus is on the semantic information not just on the basic information.It requires mining topic features in order to obtain topic-words and topic-sentences relationships.This automatic text summarization is document decomposition according to relative entropy analysis; which means measuring the difference of the probability distribution to measure the correlation between sentences.This paper introduced a new method for document decomposition, which categorizes the sentences into three types of content.The performance demonstrated the efficiency of using the relative entropy of the topic probability distribution over sentences, which enriched the horizon of text processing and summarization research field.
The Ability of Deaf Students to Pronounce Words at The Cendrawasih Special School in Makassar City

The Ability of the deaf children in pronouncing Indonesian sounds at the School of Hearing Disorder Students Cendrawasih in Makassar.The study aimed to describe the speech sound of the deaf children at the School of Hearing Disorder Cendrawasih in Makassar.Deaf children have a neurophysiological disorder that is the disorder in the motoric area producing the speech sound.The study population was all vowels representing vowels and Consonant in Indonesian.The samples were words representing vowel and Consonant in Indonesian selected purposively.The study was descriptive qualitative.The data were collected through observation, recording, games, and interviews.The result of the study indicates that the pronunciation of the speech sound in Indonesian by deaf children results in long vowels, short vowels, nasals, consonant clusters, and gemination.There is a regular shift in the sound produced by deaf children.The ability of deaf children to pronounce Indonesian sounds is based on the class level and comparison of easy, complicated sounds that cannot be pronounced clearly.
A Two-Level Learning Based Approach for Fake Portrait Video Tracing

Fake Portrait Video Tracing (FPVT), which investigates the fake portrait video and traces source video from the suspected video database at frame level, is a challenging task for video forensics. In this paper, we propose the first solution exploiting two-level learning based approach to trace fake portrait video. Our approach mainly consists of two stages. First, the scene tracing stage aims to retrieve the source video to the input fake portrait video from the suspected video database based on the scene feature. Second, the optical flow tracing stage aims to locate the source clip to the input fake portrait video from the retrieved source video based on the motion mode. Then, the source video of the fake portrait video can be traced at frame level precisely. Experimental results demonstrate the effectiveness of our proposed approach. Besides, we released a FPVT datasetÂ to support the development of more effective FPVT methods.
The Role of Adjacency Pairs to Create Politeness Strategies in Students’ Phatic Utterances

Adjacency pair is one of the language features to make utterances more polite as it creates turn-taking, which means that none of the participants dominates. Adjacency pairs also create functions of phatic communication as stated by Padilla Cruz. According to Levinson, there are nine patterns of adjacency pairs, and most could be found in utterances. The data were taken from 24 students’ phatic utterances, and they were chosen because all participants are classmates. COVID-19 pandemic has forced them not to meet each other for almost 2 semesters, yet they show their closeness and solidarity. After all the data were analyzed using the qualitative method, it can be concluded that there are 7 adjacency pairs: Question-Answer, Offer-Accept, Taking leave-Taking leave, Summons-Answer, Request for information-Grant, Request-Apology, and Greeting-Greeting, and most of them have phatic functions of communication. Using adjacency pairs employs politeness strategies and negative and positive politeness strategies from Brown and Levinson. Negative politeness strategies found are Be conventionally indirect, Question, hedge, and Quality-hedges, while positive politeness strategies found are: Offer, promise, Include both S and H in the activity, and Give gifts to H. One of adjacency- pairs and phatic utterances’ functions is to maintain politeness though the students are classmates with close social distance and equal power, they perform politeness strategies to keep their social relations. The appearance of politeness strategies shows that no matter how informal utterances are, closeness and politeness must stay together.Keywords: adjacency-pairs; phatic utterances; politeness; strategies
Students' Anxiety in Speaking in Front of the Class

This study investigated the factors that cause students to feel anxious during impromptu activities in speaking class. Qualitative descriptive methods were employed. An openended questionnaire was used to collect the data. Nine students from class A in the second semester of the academic year 2019/2020 took part in this study. They were majoring in English education at one of Southeast Sulawesi’s higher education institutes, and they had speaking anxiety when performing impromptu activities in speaking class. The study’s findings indicated that students had feelings of nervousness, fear and worry, and a lack of vocabulary during impromptu activities. The findings also demonstrated their reasons for feeling anxious and how they overcame their anxiety. This research found that teachers used impromptu activity performance to create and provide a learning environment that made students feel less nervous about speaking in front of the class.&#x0D; Keywords: kwd
Signal Reconstruction from Noisy Multichannel Samples

We consider the signal reconstruction problem under the case of the signals sampled in the multichannel way and with the presence of noise. Observing that if the samples are inexact, the rigorous enforcement of multichannel interpolation is inappropriate. Thus the reasonable smoothing and regularized corrections are indispensable. In this paper, we propose several alternative methods for signal reconstruction from noisy multichannel samples under different smoothing and regularization principles. We compare these signal reconstruction methods theoretically and experimentally in various situations. To demonstrate the effectiveness of the proposed methods, the probability interpretation and the error analysis for these methods are provided. Additionally, the numerical simulations as well as some guidelines to use the methods are also presented.
CYBERSECURITY: THE ENDGAME – PART TWO

In Part One, the conversation between the sisters and the origin story of “controls” revealed how errors in assumptions, use of wrong math and method – compounded by complexity, and uncertainty created structural flaws in cybersecurity. Recall, a “structural flaw” is about design, whether a business process or a building. Better implementation/construction, maintenance or bandage solutions cannot fix a structural flaw. Part One analyzed the first of four structural flaws in cybersecurity – “controls.” These flaws churn cyber pros, CISOs and senior managers. These flaws are more dangerous in an era of cyberwarfare. Part One then described how to review controls to determine which to keep, fix or eliminate. The opportunity is to achieve more efficient and effective security – with less waste, distraction, and false sense of security. In Part Two, we diagnose three more structural flaws – “lines of defense,” frameworks and insider threats. The emphasis continues on structural flaws that cannot be fixed by better implementation, working longer hours or tweaking. Instead, cybersecurity improvements come from fixing the structural flaws and shifting to better approaches. Better approaches are drawn from proven and practical business management methods in simplification, psychology, systems thinking and design thinking. These can more easily achieve benefits through diverse, high-performing teams.
Fuzzy Ontology for Requirements Determination and Documentation During Software Development

Every business has an underlying information system. Quality and creditability of a system depend mainly on provided requirements. Good quality requirements of a system increase the degree of quality of the system. Hence, requirements determinations is of prime importance. Inadequate and misunderstood requirements are major problems in requirements determination. Major stakeholders of the requirements are non-computer professional users, who may provide imprecise, vague, and ambiguous requirements. Further, the system development process may be partly automated and based on platform such as web or Semantic Web. In this case, a proper ontology to represent requirements is needed. The chapter proposes a fuzzy RDF/XML-based ontology to document various requirements. A generic architecture of requirements management system is also provided. To demonstrate the presented approach, a case of student monitoring and learning is presented with sample software requirements specifications and interfaces to collect requirements. The chapter concludes with advantages, applications, and future enhancements.
User Search Goals with Feedback Sessions Using Map-Reduce Algorithm

In the existing search results the search engine users search there results for different goals. It will be very useful for improving search engine relevance and user experience. In existing system there are so many Data mining algorithm used for searching relevant information. Rank algorithm, correlation algorithm has been used but that was not effective. In this paper introduces the map reduce algorithm for improving the search results proposed system, the data mining domain introduce the map reduce algorithm. It is effective for cross domain environment and also can use Big data for future work. The search results achieved through using feedback sessions and map reduce technique. This results of the cross domain have been improved using this technique. The experimented results show the efficiency.
STUDENTS’ PERCEPTIONS TOWARDS DIGITAL TEXT READING

ABSTRACTThis research is a survey research in line with finding out the dominant perceptions of UPT students of SMA Negeri 7 Ogan Ilir towards Digital Text Reading. The samples of the research were 87 students, 44 tenth graders and 43 eleventh graders. The researchers used collect the data. To analyze the data, the researchers used percentage analysis. The results showed that the students had positive perception towards digital text reading in their daily life. They often learn and do assignment using digital media because it gives positive experience,motivation and improve reading comprehension achievement. In conclusion, It is comfortable, flexible and helpful to search relevant additional text to study
Self-regulation and Other Learning Dimensions in Hybrid Courses: Which Characteristics Matter in Academic Performance?

Hybrid education has been referred to as the 'third generation' of distance education. An increasing number of universities are including hybrid courses within their academic offer, especially due to the worldwide pandemic that COVID-19 has caused. Therefore, it is very important to understand how students deal with the hybrid experience. Previous studies have been focused mainly in 100% online courses, but little research has been done in hybrid education. It is important to understand how self-regulation and student learning profiles can affect in a positive or in a negative way their academic performance during the course. The data was collected on hybrid courses offered by the Tecnologico de Monterrey in Mexico, through the CEVEAPEU questionnaire to 4,857 students of different careers programs of the 26 different campuses around the country. An exploratory data analysis was performed, as well as a statistical correlation analysis of Pearson and Spearman. Our findings show that the factors that affect the final academic performance of a student more significantly, although with a weak correlation, are intrinsic/extrinsic motivation, anxiety, self-regulation, and information processing. Therefore, we can conclude that, although self-regulation is a dimension that affects performance in hybrid courses, it is not the only dimension, nor it is a determining factor in the final grade on whether a student will pass or fail a course.
Characterizing the Program Expressive Power of Existential Rule Languages

Existential rule languages are a family of ontology languages that have been widely used in ontology-mediated query answering (OMQA). However, for most of them, the expressive power of representing domain knowledge for OMQA, known as the program expressive power, is not well-understood yet. In this paper, we establish a number of novel characterizations for the program expressive power of several important existential rule languages, including tuple-generating dependencies (TGDs), linear TGDs, as well as disjunctive TGDs. The characterizations employ natural model-theoretic properties, and automata-theoretic properties sometimes, which thus provide powerful tools for identifying the definability of domain knowledge for OMQA in these languages.
The Impacts of Edmodo App on EFL Students’ Paragraph Writing

The study aims to investigate the impacts of Edmodo on EFL students’ paragraph writing. It also attempted to explore students’ attitudes towards Edmodo application in a writing classroom. The study is a quasi-experimental study using a mixed research method with the participant of 70 tenth-grade learners in a high school. The participants were randomly divided in either the experimental or control group. For both groups, a pretest was run to check for group homogeneity and for later comparisons. Participants in the control group had a conventional class of writing whereas those in the experimental group learned writing lessons by integrating Edmodo application. The intervention lasted for eight weeks. Afterward, a posttest was given to the learners of the two groups to check if there is any improvement of their paragraph writing performance. Data collected from the pretest, posttest and questionnaire were analyzed using SPSS. The results of the interviews were transcribed and analyzed. The findings of the study indicated that the application of Edmodo significantly improved learners’ paragraph writing performance. It is also found that students had positive attitudes toward the application of Edmodo in their writing classrooms.
MATHEMATICAL DESCRIPTION OF LOGIC-TIME FUNCTIONS OF MULTIPLE-VALUED LOGIC AND SOME OPERATIONS OVER THEM

The article states that mathematical and computer modeling are the main tools for studying complex dynamic processes and systems. At the level of computing devices, time is a criterion for streamlining the sequence of operations and is implicit, and for specific nodes, time ensures their proper operation and is represented at the level of clocks or clock pulses. The paper shows the expediency of the idea of replacing an arbitrary digital signal (variable) that changes over time with a time logic function, which allows to facilitate the preliminary analytical processing of digital signals and variables using the properties of such functions. The article presents a new mathematical apparatus for describing logic-time functions of multivalued logic and individual operations on them using modeling of known implementation schemes. An index form of representation of functions is proposed, which is quite easy to understand and allows to consider any logical-temporal functions as a numerical sequence. Lukasevich's negation operation and the shift operation are considered as basic operations, which will allow to introduce more complex operations on logical-temporal functions of multivalued logic, such as inequality, differentiation and integration, and to investigate their properties.
Investigating Undergraduate Students’ Outline and Essay Writing

Abstract - Writing an essay is quite tricky as it needs more than pouring all ideas in written arrangement. Those ideas must be gathered, organized, and planned to be arranged in an outline. The main goal of this study was aimed at examining the students’ outlines and their essays based on their outlines. To evaluate their outline, the framework was based on the outline checklist proposed by Zemach &amp; Rumisek (2005). This study employed qualitative study and involved 30 students in the third semester of 2020/2021 academic year enrolled in the Essay Writing course, at English Department, Faculty of Letters, Universitas Pamulang (Unpam). The results of constructing an outline, it showed that the highest percentage (73%) in constructing an outline was in organization for paragraphs in the right order. On the other hand, insSupport for each main idea related to the thesis statement had the lowest percentage (40%). However, the results of generating essay writing based on their outline, there were 80% students who were successful following their outline when they created their essay. It can be concluded that most of students when they produced an outline and developed their ideas to write an essay from their outline, they followed their outline. On the other hand, they had challenge in developing support for Each main idea related to the thesis statement.