Reviewerly/exHarmony huggingface dataset:
MAKNA NYANYIAN MA’KAARUYEN DALAM KEHIDUPAN MASYARAKAT MINAHASA

This research is a meaning of Ma'kaaruyen; a traditional musical work of art originating from Minahasa. Ma'kaaruyen is assumed to be one of the arts that reflects the life of the Minahasa community. Through a musicalological approach to the analysis of musical elements and the analysis of the texts of the Ma'kaaruyen song, meaning is found that integrates with the values ​​of the life of the Minahasa community. In the musical meaning it is known that Ma'kaaruyen has musical elements that form this song included in the category of melancholy singing, so that with lyrics or without lyrics this song is a melancholy song that is able to influence the soul. Ma'kaaruyen's extramusical meanings of the musical elements refer to the nature and character of traditional Minahasa community life, including: rhythm, melody, intervals, harmony, texture, and song form. The elements of music in Ma'kaaruyen are a reflection of the character and nature of traditional Minahasa society, which is associated with simplicity, calmness, gentleness, cooperation (mapalus), and mutual affection. Ma'kaaruyen's extramusical meaning from lyrics is that Ma'kaaruyen is a song that conveys religious messages, advice, affection, and expressions of heart (lamentations and regrets).
An Investigation of Health Information Dissemination on Social Media: Content Analysis of CegahStunting Campaign on Instagram

Health information dissemination is one of the importance agendas on the public health sector.The effectivity on the way the health information was spread out plays a crucial-aspects on health habits on the society.In the case of stunting, right and concise information dissemination is very important to educate the citizen on how to prevent stunting in a proper-ways as early as possible.On the social media platform including Instagram, the stunting information dissemination was representing with a campaign employed the usage of #CegahStunting hashtags.This article was tried to reveals how that campaign is going on so far, especially from the content preserved to the society related to stunting and its preventions.In this research, a large number of social media posts data from Instagram during 2018 and 2019 was collected for experimental purposes.Content analysis was then used as an approach for analyzing the collected data.We employed a computational-programs to performed content analysis task over the large Instagram post data containing #CegahStunting hashtags.From the results, we can gather the dominant and also complimentary topics related to that the #CegahStunting campaign on Instagram.
Medical Advice Through Mobil Phone During the COVID-19 Pandemia, June - July 2020 at Nicaragua

In December 2019 an outbreak of pneumonia of unknown etiology emerged in Wuhan, China. World Health Organization named coronavirus disease 2019 (COVID-19) several health platforms have used the mobil phone as tool in different aspects and situations, the pandemia one of these. The golds this study is collection of epidemiological data and to ease medical advice using mobil phone during the pandemic by COVID-19 at Nicaragua. Method: Descriptive study, cohort. We reviewed the file of 5,712 phone call, during two months, using Interactive Voice Response (IVR) service to provide medical advice. Physicians trained with knowledge about COVID 19 according to WHO- PHO and John Hopkins University’s courses. Data collection realized with a format: call number, call duration, demographic data, symptoms, question about COVID 19, medical advice. The Information proceed using Excel office 2010, the univariable review realized with frequency and percentages. Results: During two months (June and July 2020) we received 5712 mobil phone call. The distribution for departments: 4264 (75%) correspondent to Managua, fallow of Masaya 336 (6%) Chinandega 220 (4%), Granada and León (3%) each one, the others minor to 1%. The female represented 3311(58%) and men 2401(42%) according who made the phone call. The distribution according age : 4035(70.6%) major of 30 years and 1677(29.4%) minor to 30 years Each day the ranges of mobil phone call were 110-120 , average 115 for day. Duration call 5-10 minutes, average was 8 minutes. The symptoms reported were: loss of smell and taste 53-52% respectively fallow of myalgia and fever. The medical advice relationship with the most frequent question about: Symptoms, medical treatment, frequent complications, family protection and mask use. Conclusion: Ours results as the international reports show the greatest utility to epidemiological data collection during a health emergency principally in vulnerable peoples and know a part of the behavior of disease in our country. Also have permitted to ease medical advice by health workers trained on the subject.
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations

We study conversational dialog in which there are many possible responses to a given history. We present the MultiTalk Dataset, a corpus of over 320,000 sentences of written conversational dialog that balances a high branching factor (10) with several conversation turns (6) through selective branch continuation. We make multiple contributions to study dialog generation in the highly branching setting. In order to evaluate a diverse set of generations, we propose a simple scoring algorithm, based on bipartite graph matching, to optimally incorporate a set of diverse references. We study multiple language generation tasks at different levels of predictive conversation depth, using textual attributes induced automatically from pretrained classifiers. Our culminating task is a challenging theory of mind problem, a controllable generation task which requires reasoning about the expected reaction of the listener.
Distributed systems and trusted execution environments: Trade-offs and challenges

This extended abstract summarises my PhD thesis, which explores design strategies for distributed systems that leverage trusted execution environments (TEEs). We aim at achieving better security and privacy guarantees while maintaining or improving performance in comparison to existing equivalent approaches. To that end, we propose a few original systems that take advantage of TEEs. On top of prototypes built with Intel software guard extensions (SGX) and deployed on real hardware, we evaluate their limitations and discuss the outcomes of such an emergent technology.
Lymph Node Metastasis Classification Based on Semi-Supervised Multi-View Network

Lymphatic metastasis is one of the most common proliferation pathways of thyroid carcinoma. Accurate diagnosis of lymph nodes is of great significance to surgical planning and prognosis. Due to the continuous development of deep learning recently, computer-aided diagnosis (CAD) systems for thyroid cancer have made considerable progress, but the research on the effective diagnosis of lymphatic metastasis remains insufficient. Focusing on this issue, we propose a semi-supervised multi-view network to diagnose lymph node metastasis, which combines coarse-view and fine-view to obtain a more comprehensive description. This method consists of three parts as follows: 1) joint probabilistic labels of the nodule partition information are generated by fuzzy clustering and perform semi-supervised learning on coarse-view with real labels; 2) an attention mechanism based network for fine-view is designed to capture various differentiated local features in a pyramid manner; 3) the two parts are then combined to extract global and local features more effectively to derive more accurate diagnostic reasoning. Especially, the introduction of fuzzy logic greatly reduces the impact of the uncertainty of the generated labels, thereby ensuring the effectiveness of the pseudo-labels. Extensive experiments on our collected dataset demonstrate that the proposed method is more efficient than other state-of-the-art methods.
Mathematics Determination of Single Tuition: Efforts to Achieve Good Governance

Determination of new student tuition fees for new students needs to be done systematically and mathematically. Therefore, it is necessary to develop an instrument that can be used to determine it. This study aims to find a mathematical pattern of determining single tuition for new students. The deve
Model Fuzzy MADM in The Decision Support System of Mustahik Service Program Beneficiaries at Laznas PPPA Daarul Quran Center Tangerang

Charity is one of the good deeds taught in Islam. Doing charity is giving out or donating a piece of the property or money to someone else. The amil institution is one of the places where they receive donations and distribute them to those who are entitled. One of the amil institutions is Laznas PPPA Daarul Quran that has a mustahik service program where they must be focused on providing educational, health, venture capital, or other aid to mustahik. The problem we found is that mustahik selection is still conducted by hand, resulting in the lack of accuracy of mustahik. There are eight criteria in determining the mustahik; fardhu prayer, family income, reading Al-Quran, sunnah prayer, social activities, number of loads, residence, and marital status. The purpose of this research is to build a decision support system to facilitate the management and distribution of aid to make it more targeted. The method used in this research is Simple Additive Weighting or SAW with a model Fuzzy Multi-Attribute Decision Making or FMADM. The method is selected because it can choose the best alternative by calculating and weighting the weight value of any criteria, and then proceed to determining the mustahik and giving help based on the number of funds available.
Smart Access by Novel Based AI System

Face recognition is the most appreciated identification method compared to other biometric identification during the pandemic situation. In addition, face recognition is a non-invasive way of biometric authentication used in high security places. Hence, smart access becomes revolutionize with safety automation. This paper illustrates a novel based face recognition system access using Artificial Intelligence. The designed hardware system recognizes the face from the frontal face database using haar-cascade classifier. In order to train the system, samples of facial images had taken in different facial angles with different light settings. The proposed system recognizes individual face with 90% accuracy under decent lightings and 70% under deprived lighting condition.
Product liability for autonomous vehicles

Is product liability law of today as harmonised by EC Directive 85/374/EEC suitable for the specific risks posed by autonomous vehicles? Are these risks (better) covered by other liability or compensation mechanisms? A brief snapshot of key arguments highlights the necessity of looking at the bigger picture.
The Contemporary Visual Didactic Directive in the Project “The Life of Remarkable Melodies”

The article presents a searching-experimental Project “The Life of Remarkable Melodies” (“LRM”), the conception of which is based on the application of the didactic principle of multidimensionality to the phenomenon of the “musical image” in the form of specially selected and ranged creative arrangements and performances of remarkable melodies in assembly works — mono-anthologies, as well as on the technology of comparative music listening. According to the latter, the listener — the User of the “LRM” Project — intuitively emphasizes the distinctive features of the arrangement and specifies his or her preferences. The peculiarity of the “LRM” Project is in the convenient multipage interface and the exclusive title included in the text of Testimonial RU 2018612220: Instructional Program Complex “The Life of Remarkable Melodies.” For the aggrandizement of demonstrativeness, the article makes use of didactic means of figurative visualization of knowledge, which would initiate a synesthetic perception of depicted informative and operative components, facilitating the process of operating it in the teaching process. In particular, a visual didactic directive is introduced of the logical-semantic type, the “Self-Effectivity of the User of the LRM Project,” obtained by modeling information presented in a natural language. It realizes the conception of construction of semantic networks, moreover, the figurative form of the directive is provided by the graphics of a “solar” — radial type.
RANDOM NUMBER GENERATOR BASED ON HUMAN-COMPUTER INTERACTION

The paper is devoted to the development and analysis of a software random number gen-erator based on human-computer interaction for software and cryptographic applications. De-scribed is a method of generating random numbers based on human-computer interaction, using time and position of a cursor on a computer or smartphone display. Based on this meth-od, a random number generator has been developed and programmatically implemented. A preliminary analysis of the algorithm was performed, during which 11,000 numbers were gen-erated. The test software for this method has been created, preliminary indicators of generated random numbers have been considered. The random number distribution function is shown to be uniform. The advantage of this generator is its ease of manufacture and operation
Reuse Alternatives based on the Sources of Software Assets

Abstract— Since the idea of software reuse appeared in 1968, software reuse has become a software engineering discipline. Software reuse is one of the main techniques used to enhance the productivity of software development, which it helps reducing the time, effort, and cost of developing software systems, and enhances the quality of software products. However, software reuse requires understanding, modifying, adapting and testing processes in order to be performed correctly and efficiently. This study aims to analyze and discuss the process of software reuse, identify its elements, sources and usages. The alternatives of acquiring and using software assets either normal or reusable assets are discussed. As a result of this study, four main methods are proposed in order to use the concept of reuse in the software development process. These methods are proposed based on the source of software assets regardless the types of software assets and their usages.
The Concept of Character Assassination: A Sociological Approach

Character assassination, a reputation-damaging manipulative technology, is closely analyzed and categorized in this article.A theoretical basis for representation of this concept in the sphere of sociology is proposed.The approach argues that the use of communication models and interaction theories creates a way for character assassination to be traced and examined with the help of sociological methods.Consequently, several structural forms for analysis of character assassination are presented, but not limited to the suggested sets of questions as the flexible sociological methodology allows to study the concept from different angles while mixing various theoretical approaches.
Towards Group Development Stages in Software Engineering Courses Projectwork

Wheelan et al. established that a group of individuals working together towards a common goal goes through four different stages—i.e., Dependency&amp; Inclusion, Counter-dependency &amp; Fighting, Trust &amp; Structure, and Work &amp; Productivity. Such development includes both group structure (e.g., which individual takes which responsibility) and interpersonal processes. Group work projects, spanning several weeks, are common in applied disciplines such as Software Engineering (SE). This is the first step towards validating whether the four stages of group development take place for SE students working together in groups during a semester-long software development project. Moreover, we focus on factors of interest, namely the students' different backgrounds and the new working conditions they had to adapt to due to the COVID-19 pandemic. We carried out a longitudinal survey with 11 students taking part in the group work of a Master-level course in SE at Blekinge Institute of Technology, Sweden. We used a simplified version of the Likert-scale questionnaire originally proposed by Wheelan et al. as well as open-ended questions. The preliminary analysis of the survey data shows that the four stages of group development do not occur among students working together on a SE project, although later stages are more pronounced than others. These results seem to be impacted to the social aspects of unusual working conditions.
Student Leadership Development as a new trend of Higher Education in Kazakhstan

In this paper, some specific issues of student leadership development in Kazakhstan universities were consid-ered. The authors draw attention to the fact that leadership development is now becoming an integral part of the undergraduate and graduate educational programs. This paper reviews different leadership approaches and theories to analyze the question of student leadership development and gives the historical classification of leadership studies in the USA. Likewise, in the paper, a brief review was given to the experience of Toraighyrov University in implementing a specific leadership development program, which is designed with taking into account the cultural, professional and educational uniqueness of the region. The researchers of the article offer another alternative way for leadership skills development — creation of a leadership school in the form of non-government organization. Based on the theoretical research conducted by the authors, the main ways of formation of leadership qualities and necessary skills due to several objective and subjective circumstances were identified.
How Are Cryptocurrency Systems Represented and Who is Liable for Misrepresentation?

Cryptocurrency systems are characterized by arcane technologies and complexity. They may be intended to replace existing infrastructures and assets, but they also serve ideological, political, and speculative agendas. Grand narratives, analogies, mathematical models, and fancy charts, among others, are used to represent their features. Stakeholders often rely on others' representations in their decision-making regarding involvement in cryptocurrency systems as, inter alia, investors, users, validators, and developers of services. Such representations may be misrepresentations for various reasons, such as bias from profit-motivated incentives, lack of understanding, or simply analogies and simplifications gone wrong. This paper addresses the representation of cryptocurrency systems and liability for misrepresentation. Many misrepresentations are likely to escape liability except when special duties to not misrepresent are present. However, by creatively exploring liability theories and causal concepts, inadequate liability gaps may be narrowed. Well-designed misrepresentation liability can serve as regulatory policy for cryptocurrency systems.
A COMPARATIVE STUDY OF TECHNIQUES OF VISUALIZATION OF DISTRIBUTIONS FOR GEOGRAPHICAL DATA

Currently, technological advances have revolutionized the way natural phenomena are studied. Natural phenomena can be represented through distributions of geographic data that are a rich source of information and can be explored in different ways. One of them is the representation of uncertainty through the distribution of probability. Modeling the uncertainty of this type of distribution and representing it in geographic visualization is complicated because maps (common types of geographic visualization) need the visual environment to represent geographic space and there are not many ways to represent any other information. One of the ways often used as a solution is statistical summarization such as mean, but summarizing the data alone may can hide the data’s behavior and generates ambiguity. The concealment of the uncertainty of the data in visualization can be justified by the way the uncertainty is represented that may not be understood by the user. Technical proposals have been proposed to represent distributions, but generally they only represent the presence and spread of uncertainty recently others approaches based on probability of proportion of data, animation and interaction have proposed to make quantification of probability, but have not been used or compared formally for geographic data. The objective was qualitatively compare main approaches to visualize probability distributions on a geographical scenario (includes factors such as distance, size and variation), using the recent proposed approaches in the context of abstract data, analytical tasks and user study. The results show which approach has the better performance in the presented cases.
A comparative analysis of Biology books included in the Federal list of school textbooks (2018) for grades 5–7

The paper discusses one of the most important issues for educational process organization while teaching Biology at secondary school educational and methodological support and its main component a course book. The authors prove the urgency of this problem as school teachers face a great choice of Biology course books. The paper also contains a brief overview how the notion course book developed in Russia. The authors have given a modern interpretation of the notion course book taking into account the Federal State Educational Standards of General Education. Particular attention is paid to considering the structure of the course book. The specificity of a Biology course book for secondary schools is characterized. The authors have also revealed some variability of Biology course books for 57 grades of secondary schools in modern conditions when there are two federal lists of school textbooks. The reasons for the existing difficulties in the choice of a Biology course book by school Biology teachers are revealed. Particular attention is paid to the criteria for a comparative analysis of the content of Biology course books for secondary schools. The authors have also revealed a degree of completeness of Biology courses with various components for grades 57. The presented materials can be used by school teachers while teaching a Biology course at a secondary school.
The Relationship between Innovation, Financial Development, and Economic Growth : Testing in ASEAN Countries for the Period 1986-2015

This study aims to determine the relationship between innovation, financial development, and economic growth. Innovation is measured by patents, and economic growth is measured by the percentage of GDP per capita, while financial development is measured by seven indicators, namely banking sector development. Index formation is done through the Principal Component Analysis (PCA), with the note of the variable were defined earlier. This study uses data from ten ASEAN member countries with observation periods from 1986-2015. Research data is secondary data derived from the World Development Indicator and Global Financial Development at the World Bank. The analytical method used in this study is granger causality test, VECM, and IRF and FEVD analysis. The results showed that there were several differences in results in the direction of the three relationships. This difference is due to the difference in proxy that used in the study. There are three cases in this study. Broadly speaking, the relationship between financial development and economic growth is a unidirectional causality from financial development to economic growth. On the other hand, testing on economic growth with innovation shows a bidirectional causality. On the relationship between financial development and innovation, there are unidirectional causality from innovation to financial development. Nevertheless, the relationship between the three variables shows a long-term relationship.