Reviewerly/exHarmony huggingface dataset:
Collaboration – Impact on Productivity and Innovation: Proceedings of 14th International Conference on Webometrics, Informetrics and Scientometrics & 19th COLLNET Meeting 2018, December 5-8, 2018, University of Macau, Macau

The future of science will be determined primarily by the methods and tools that can be used to effectively analyze the huge amounts of data generated by the common use of digital media in scholarly communication, conversations, work processes and social structures. These characteristics, which are subsumed under the term data-intensive science, change the nature of scientific work in the most sustainable way. And most importantly, such expressions as the fact that scientific collaboration is increasingly embedded in a globally connected environment and the growth rate of scientific output in the top ten countries is increasing exponentially and this output is expressed above all by non-traditional, highly dynamic, interconnected assets such as data sets, software, ontologies, slides, videos, blog entries, are responsible for the manifold challenges for Scientometric investigations. COLLNET 2018 has met these challenges and provided an excellent opportunity to discuss the phenomena of collaboration in science, their impact on productivity, innovation, and benefits, and outcomes for individuals, institutions, and economies worldwide.The COLLNET Conference Series and the active COLLNET community have been playing for almost two decades an outstanding role in scholarly communication for improving co-work and collaboration among researchers and practitioners all over the world. This global interdisciplinary research network is to comprise the prominent scientists, who work at present in the field of quantitative science studies.COLLNET 2018 was also a great opportunity for both researchers and practitioners to share experiences, ideas, and research results on all aspects of Webometrics, Informetrics and Scientometrics and to open new avenues for possible research collaborations in the future.This Procedia includes selected papers presented at the 14th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 19th COLLNET Meeting, which took place during 05 to 08 December 2018 in the University of Macau, Macau. The Conference was organized by the Department of Computer and Information Science, University of Macau, in collaboration with Digital Information Research Labs, India and the COLLNET Coordination Centre, Germany. The organizing committee and the editors are grateful to the delegates who had submitted and presented papers.
ICT based initiatives for Rural Development in India

ABSTRACTIndia still breathes in villages, and this becomes a fact when it is taken into account that nearly 68% of Indian population lives in rural areas and mostly dependent on the stressed agrarian economy. But after independence, rural India characterised by severe poverty, illiteracy, lack of health facilities, lack of job opportunities etc. and above all backwardness. The current approach for rural development focuses primarily on poverty alleviation, better livelihood, the arrangement of essential convenience and infrastructural facilities. Rural areas are often seen as poorly informed and the provision of information has often been a key component for rural development. In this context, several e-governance projects have implemented to improve reach, enrich the base, increasing transparency and reduce the cycle of time. For example, the introduction of computer and e-chaupal by the government has taken the rural population in contact with the information technology, up to a certain extent. Hence, ICT can be an easy set of tool that as a springboard for the democratic and sustainable development of rural India. The opportunities for ICT application in rural development are immense, but the government is also facing many challenges. This paper focuses on ICT based initiative for rural development in India and the challenges faced by the government for its implementation.
The e-Learning Method for Teaching Mathematical Content in the COVID-19 Era

The technological progress in the social field in a sudden way, specifically in the pedagogical field due to the spread of COVID-19, has had to force and use new teaching and learning strategies. As one of these many teaching processes is the method known as e-learning, which has become more valuable and very important in these times due to the rapid spread of the COVID-19 pandemic. The research method applied is descriptive, correlational, cross-sectional and predictive. The sample applied in this research is 608 students of the 5th grade of secondary education in the province of Sullana, Piura region of Peru. The results reveal the existence of a very significant influence in almost all the dimensions of the study. The dimensions with the highest association values are participation-autonomy, outcome resolution, decision concepts and decision outcomes. The dimensions with the lowest strength of association are undoubtedly the motivation rating, which can be interpreted as meaning that motivation does not have a strong influence on the results. It can be concluded that the application of the e-learning method in the teaching of 5th grade high school students in the area of mathematics is positively valued, although a strong incidence of the method on the grades is not observed, due to the fact that a lower percentage of students were unaware of the application of information and communication technologies for online learning. In addition, women tend to rate autonomy and participation more positively than men when the aforementioned teaching method is applied.
Model-free safe policy learning via hard action barrier functions

To enable model-free learning of safe policies in Constrained Markov Decision Processes, we advance the notion of penalties as an information source that complements rewards and is similarly acquired from experience. Without prior knowledge of the safety constraints, the agent must resort to penalties-that signal infeasibility-in order to learn which actions lead to constraint violations. Accordingly, we define the notion of hard action barrier functions, which incorporate penalties as (0,+infinity) binary information, and gradually reveal implicit state-action pair constraints that must be satisfied in order to avoid (possibly future) unsafe states. Using this notion, we characterize a separation principle that decouples safety from reward maximization. Based on this principle we propose an adaptive algorithm that learns the action barrier function independently of the specific reward structure. As a result, our Barrier-Learning algorithm can wrap around standard on-and off-policy algorithms such as Q-Learning and SARSA. Our solution has the added benefit of learning from previous mistakes by avoiding bumping into the same rock twice, i.e., not taking the same unsafe action that led to a constraint violation in the past. This results in a policy that complies with the constraints almost surely. We demonstrate these combined algorithms in a grid-walk with walls that must be avoided on the way to a target.
Use Two Hybrid SCA-AOA and Fuzzy SCA-AOA Algorithms in Information Security

This research suggests the improving Sine Cosine algorithm and Arithmetic optimization algorithm (SCA-AOA), and the application in two directions: First, in special functions (N-P hard) problems; second, in code analysis and decryption for the method of encryption substitution of simple cipher.The proposed algorithm mathematically simulates the behavior of SCA and Arithmetic algorithm behavior in Mathematical.The measure of SCA-AOA has been measured on a set of test functions to know the power of its performance and efficiency, and verify and compare it with SCA and AOA, each one alone.The numerical results have proved that the proposed algorithm (SCA-AOA) is able to present excellent results as compared with SCA-AOA itself.The applied results have proved that the proposed algorithm is able to analyze and break code.It could also avoid the falling the local solution and reaching to the global optimum resolutions in majority of functions that have been applied on.The adoptive Fuzzy SCA-AOA has been proposed and used in analyzing cipher text and breaking the code by merging the proposed algorithm SCA-AOA with properties of fuzzy logic.Moreover, the simple encoding method is explained and used to encode the proposed text.The method of masking by images is explained and used to hide text.The standards are used to measure the image resolution and find the image resolution.The encrypted text was analyzed and returned to the explicit text using the proposed method, SCA-AOA and Fuzzy SCA-AOA both separately, and the code for the encryption was broken by the proposed method.
ANALISIS PENGARUH KECEPATAN SUDUT TERHADAP PUTARAN PROPELLER DAN KESTABILAN QUADCOPTER

Quadcopter is one of the Unmanned Aerial Vehicles (UAV) or the so-called unmanned aerial vehicle which is a flying vehicle that has the ability to operate without a pilot on board. A Quadcopter must consist of the following important components: - The quadcopter consists of 4 motor brushles and each motor has 1 propeller. - The quadcopter can perform several basic functions including pitch, roll and yaw - The system built into the Quadcopter is automatic. In designing this tool is to make a block diagram as a reference for each block, each of which is related to one another, thus forming a control system with a microcontroller controlled via RC (Remote Control) media. To make a quadcopter so that it can fly, a force of F is needed, for this position the force F required must be less than 6,37 kg m/ . Keyword : Quadcopter, UAV, multicopter
Homomorphic Encryption and Its Application in Modern Day World

Abstract. As IPv6 drastically increased the number of devices connected to the internet from 8.4 billion in 2013 to around 30 billion in 2020, it enabled different entities such as governmental, health, research institutions, hospitals, banks or even individuals to generate and collect data that is expected to be 44 ZB in 2020, up from 4.4 ZB in 2013. In this sense, banks collect different information about users’ transactions, which can be utilized to track fraud transactions or tax evasions, however in the process they compromise users’ privacy by looking into private data such as credit card numbers, amount of money transferred, etc. Research labs and facilities collect samples of human genomes of individuals, which can be used to detect patterns in genes responsible for diseases, pandemics, etc., but in the process they violate the privacy of those individuals since the genome data reveals sensitive private information related to the same individual, such as fingerprints, biometric data, country or family origin etc. Hospitals and health facilities collect data about patient diseases, which can be utilized to correctly diagnose un-diagnosed patients, but in the process they jeopardize patients’ private data which is protected by law. To mitigate those problems, the above mentioned entities use homomorphic encryption (HE) schemes to encrypt those private data before storing them to third parties. They do so since HE schemes allow processing and calculations to be done on encrypted data (ciphertext) without decrypting it. To this ends, HE allow the entities to retrieve beneficial information from those data without compromising their privacy, objectives which a few years ago were considered to be mutually exclusive. We give the mathematical problems assumed to be hard upon which several HE schemes are based on, such as discrete logarithm, quadratic residue, Ring Learning With Errors (RLWE), etc. Since RLWE is proven to be secure under quantum computers, HE schemes based on RLWE (such as FV and BGV) are part of the so called post-quantum cryptography. Then we introduce the three types of HE schemes, namely 1) partially HE schemes (such as elGamal and Paillier), which allow only one type of homomorphic operation on the ciphertext (either addition or multiplication), which are represented with cryptosystems; 2) Somewhat homomorphic schemes (such as the FV scheme), that allow two types of operations on the ciphertexts (usually addition and multiplication), but the number of such operations is limited, and 3) Fully homomorphic schemes (such as BGV) that allow un-limited numbers of two types of operations on the ciphertexts (usually addition and multiplication). Finally, we give some real world application of HE schemes, such as: privacy-preserving finance, private genome analysis, secure e-voting, privacy-preserving machine learning and data mining algorithms, cryptocurrencies, private database querying, secure graph theory, etc.
Perancangan Blog Guru untuk Penyediaan Bahan Ajar di Era Pembelajaran Abad 21

Now a day world is changing complexity and unpredicted which as characteristic in 21st century. These conditions asked severals solutions which more complex according to context. The purpose of education reformulated its goal that to prepare students to be a problem solver. Teaching with problem base learning needs many kinds of learning resources. All these kinds of information will be used of the students to analyses the problems from many points of views. Blog is one of application can be provided informations/datas. Fortunately, almost all schools ini city have already have computers and internets facilitation, but still do not use yet for learning. The purpose of this activity is to train teachers to desing and create their own Blog to facilitate student’s learning. The result showed that all teachers can create a Blog for their Subject. For the future Teacher BLOG should be develop regulary
Strategie discorsive dei bilingui e contesto sociolinguistico. Vecchie e nuove minoranze a confronto

In this paper the authors analyse the correlations between the bilinguals’ discourse strategies and the sociolinguistic context of two types of linguistic minority communities: of old and new settlement. The first one concerns the Franco-Provencal context of Faeto and Celle San Vito in Apulia, while the second one deals with the Senegalese migrants’ community in Pescara, Abruzzo. The aim of the study is to identify recurrent patterns in discourse that can relate to the presence of specific sociolinguistic variants, which are considered peculiar to the contexts characterizing each of the two minorities.
THE EFFECTIVENESS OF A PROGRAM BASED ON STRATEGIC BEHAVIOR MAPS IN DEVEOPLING ETHIC AND ENVIRONMENTAL BEHAVIOR AMONG A SAMPLE OF KINDERGARTEN CHILDREN

The research aimed at studying effectiveness of using behavior maps strategy in developing ethics and environmental behavior of kindergarten children, so the researchers prepared a list of environmental ethics, it consists of 9 main environmental subjects, 30 sub components and 40 significant and positive environmental behavioral indicators that kindergarten children should acquire then preparing a based program on behavior maps strategy for developing ethics and environmental behavior for kindergarten children, it is a component which includes teacher's guide and student's book, after analyzing content of kindergarten methodology in grade 1 and 2 in view of ethic and environmental behavior list that the researchers concluded, the pre application was conducted of study tools that include IQ, Good enough Harris draw a man test and the depicted environmental ethic scale consisting of 46 subjects and 9 main environmental subjects on the two groups (the experimental group and the control group), the proposed program was applied on the experimental group only, then the post application of study tools formerly on (the experimental group and the control group) then applying environmental behavior observation form on the experimental group only, study sample was chosen as one of early childhood school halls in Monshaat Naser suburb in Cairo governorate, it consisted of 20 children of both sexes. The control group was chosen from other hall in the same school, it consisted of 20 children of both sexes, the researchers benefited from descriptive methodology in building the theoretical side and preparing study tools and the semi experimental methodology as the experimental and control group existed, results concluded: There are statistical significant differences between degrees average of control group children and experimental group degrees in post application in favor of experimental group that studies the program in environmental behavior for kindergarten children. There are statistical significant differences between degrees average of experimental group children in pre scale as compared with post scale after applying the program in favor of post scale in environmental ethics and environmental behavior for kindergarten children. The most important recommendations are: Coordinating between kindergarten administration and the family in developing ethics and environmental behavior for children. Making guardians aware of the importance of developing intact ethic and environmental behavior.
Sentiment Categorization through Natural Language Processing

Sentiment is an attitude, thought, or judgement prompted by feeling. Sentiment Categorization, studies people’s sentiments towards certain units. Sentiment Analysis isn’t an unfamiliar term anymore. Today, smart phones, high speed and affordable Internet and various forums and social networks, have made it very common for people to give voice to their opinions. Therefore, a lot of textual data is available in various forms where people express their opinions. Analysing this data to know the underlying sentiment behind it has also become quite popular these days. Sentiment Categorization involves classifying text as positive or negative towards a certain target. The model proposed here, makes use of a hybrid approach of Natural Language Processing and Machine Learning to achieve an accuracy of 90% for an IMDB movie review dataset. To achieve this accuracy, the system uses methods like: Bag of words model, TF-IDF to calculate the relevance of each term in each sentence, regular expressions to remove punctuations and retain emojis by shifting them to the end of each sentence, tokenization and stemming to break the sentences into tokens and restore all words to their roots, stop word removal to remove words that do not bear any sentiment, and finally the logistic regression algorithm to perform the sentiment categorization into positive and negative.
Cultivate Humanity Literacy In Junior High School In “Freedom of Learning” Era

The research objectives in this article are twofold. 1) Describe the humanitarian literacy culture of the Freedom Learning Era in Distance Learning at SMP Negeri 1 Sukoharjo. 2) to describe the role of teachers in cultivating humanitarian literacy in the Free Era of Learning in Distance Learning at SMP Negeri 1 Sukoharjo. The type of this research is based on a qualitative-ethnographic approach. The data collection techniques are carried out through observation, structured interviews, and documentation. The validity of the data is by means of triangulation of techniques and sources. The data analysis technique with interactive methods. The results of the research in this article are twofold. 1) Humanity literacy civilization can be done by (1) utilizing the learning management system as a learning medium; (2) teach students to understand correct information; (3) directing students to ensure information sourced from the internet; and (4) inviting students to think critically in dealing with problems. The supporting factors for the culture of human literacy at SMP Negeri 1 Sukoharjo in the era of freedom of learning include, (1) full support from the school principal; (b) availability of electronic books for students; (c) the existence of a comfortable virtual classroom design to support literacy activities during distance learning; (d) the existence of various program activities in order to cultivate humanitarian literacy. Meanwhile, the inhibiting factors for literacy culture include: (a) Limited digital library collections, especially reading books that attract students' interests and tastes; (b) Students lack of interest in reading.
The Effect of Snowball Throwing Learning Model on Mathematics Learning Outcomes of Class III Students at SDN 50 Kuranji

This research is motivated by a one-way mathematics learning that is from teacher to student so that students only accept what the teacher explains and then copy the notes given by the teacher and the low student learning outcomes so that many students still do not achieve the KKM value. This study aims to prove the influence of student mathematics learning outcomes that apply the Snowball Throwing learning model better than students learning mathematics outcomes that apply conventional methods in class III SDN 50 Kuranji. This type of research is experimental research. The population of this study was all students of class III SDN 50 Kuranji which were divided into two classes, namely class III A and III B. The sampling technique in this study was carried out using total sampling technique. The data to be analyzed in this study are the results of students' mathematics learning collected through objective tests. The results of the research analysis found that the experimental class had an average learning outcome of 83.25 and a control class of 73.04. Hypothesis testing using t-test showed tcount> ttable, with a tcount of 2.081 and a ttable value of 1.99 at a significant level of 0.05 then H0 was rejected and H1 was accepted, which means the mathematics learning outcomes of 3rd class SDN 50 Kuranji who applied the model Snowball Throwing learning is better than mathematics learning outcomes of students who apply conventional learning methods. Based on these data it can be concluded that the mathematics learning outcomes of students in grade III SDN 50 Kuranji who apply the Snowball Throwing learning model are better than the mathematics learning outcomes of students who apply conventional learning methods.Keywords: Snowball Throwing Model, Learning Outcomes , Mathematics
대학생 여성노인의 만학 경험에 관한 연구

Objective: The purpose of this study was to explore the experience of an elderly woman as a college student in learning late in life. Methods: For this study, a data was collected through an in-depth interview with a 75-year-old elderly woman who finished middle and high school and was a junior student at a university in Jeonbuk and then analyzed using case study research methods. Results: The results were as follows. First, the meaning of being a college student for the elderly participant was mainly related to herself, such as overall happiness, unexpected realization of a dream, an increase in self-confidence & pride, fun of learning, and being recognized as a social being because of her status as a college student. Second, the participant experienced personal changes after entering college such as physical & psychological vitality, a rise in mental health, and intellectual improvement, and family changes such as spousal support & stronger marital love, the support of children, and recognition from children & relatives. And the participant experienced changes in social relationship such as being recognized for her dual identity as both a college student and grandmother, disconnection from friends or neighbors, and inter-generational integration with young college students and professors. Third, the participant, as an elderly student, had difficulties in college classes such as a lack of computer skill and essay-oriented exam, and a deterioration of health and the burden caused by study and house-keeping. Lastly, the elderly female student, who was a participant in this study, overcome the difficulties with the idea of pushing ahead, an attitude of asking, a habit of reviewing, a proud heart, and confidence in real life experience. Conclusion: Based on these findings, it could be said that the experience of elderly woman as an elderly college student had far more positive aspects overall.