Reviewerly/exHarmony huggingface dataset:
Application of the fuzzy logic in the employees' wage quantification process

Fuzzy Logic was introduced in 1965 by Lofti Zadeh and aims at the analysis of linguistic variables and membership functions, allowing a subjective interpretation than the classical logical-mathematical models. This contribution uses a Mamdani inference model in the hypothetical application of fuzzy logic in a decision-making process in a human resources department. The possibility of a company determining the employee’s wages in the hiring step is considered. The characteristics to be observed are the age of the candidate, classifying him in one of the following generations, baby boomer, X, centennials (Y) and millennials (Z), in addition to his experience and qualification, in years. Then, 21 valuation rules are considered as well in this calculation. Finally, some simulations are presented, with different input values ​​for some candidates and their respective salaries, showing that the implemented tool can be very useful, providing a result free from any personal judgment of the HR analyst.
Study of the possibilities to use keyboard handwriting for the tasks of identifying students in e-learning systems

When using distance education systems, the problem of information security of the educational process arises, which, in addition to external ones, also implies internal threats. One of these threats can be a legitimate user who paid a fraudster to take tests and give visibility to educational activities under his own name. The use of traditional identification methods has two significant drawbacks: firstly, the ambiguity of the identified user, because the identification of the user occurs by the entered pair login-password; secondly, the inability to detect the substitution of an identified user in the process of working with the system. These disadvantages are eliminated by using biometric methods of covert and continuous monitoring.&#x0D; In the first part of the work the different types of control knowledge tests are analyzed. Taking into account the specifics of the use of covert keyboard monitoring algorithms, the following is proposed: 1) to use tests that do not contain answers; 2) use tests after each learning activities in order to form a user’s biometric vector; 3) use tests with numerical answers in order to minimize the analyzed keystroke digraphs.&#x0D; An algorithm for user’s profile formation and its identification is proposed in the second part of the work. Its combine qualitative (distribution of the frequencies of using numeric keys groups, comma-separated keys, “plus” and “minus” keys on the main and additional keyboard units) and quantitative (analysis of statistical properties of keystroke digraphs) approaches. The experimentally obtained estimates of the identification accuracy of the proposed algorithm: FAR=4.64% and FRR=6.25%.
Proof of Concept Teaching for 21st Century Digital Literacy in Portugal: A Pedagogical Approach Towards a New Educational Model

This paper addresses an analysis of contemporary, structured, and connected pedagogical approaches to the teaching of digital proficiency/fluency in 21st-century digital literacy. We present a proof of concept and epistemological valorisation of digital literacy previously underestimated. This epistemological valorisation focuses on teaching digital literacy through understanding how teachers work - pedagogical planning, teacher training, syllabus design, practical work - enabling us to train technology producers instead of passive technology consumers, to enable agents instead of clients. The term “digital” will refer to 21st-century digital literacy. To “think digital” will refer to the mental process carried out by digital natives when conducting operations involving ICT - as their native language and framework. The pedagogical background is paramount to the structures underlying teaching of 21st-century digital literacy, characterised by its disruptive building process achieved through the acknowledgement of epistemological foundations. High school teaching of 21st century digital literacy is by no means at ground zero. The fundamental concepts to be conveyed remain the same: electric coding, input and output devices, memories, processors and transistors – the process/system is just faster and smaller. The development of a proof of concept was built according to a DSR framework, in an iterative way, giving evidence of architecture configuration, an asset of information, of tools, procedures, and attitudes.
Effect of Hydrological Data on Flood Management in Urban Areas

Floods can occur due to rising water levels due to above-normal rainfall, changes in temperature, broken embankments/dams, rapid snowmelt, obstruction of water flow in other places, and putting people at risk of annual disasters due to flooding. The purpose of this study was to obtain a more detailed description of hydrological conditions so that flooding in the Bandar Lampung urban area can be optimally managed or controlled. The method used in flood control research is the analysis of the calculation of the average rainfall in the watershed, and the calculation of the planned discharge. The results of the analysis show that the existing drainage channels that have been carried out for each channel point have dimensions that are not large enough so that they are not sufficient to accommodate water runoff. so that for a 5-year discharge of 28.058 m3/s, the dimensions of the channel are 3 m wide and 2.6 m deep and for a 10-year discharge of 30.609 m3/s, the channel dimensions are 3.1 m wide and 2.7 m deep.
Comparison Prediction of Transfer Function Models and State Space Models Using Fuzzy Method

The research aims to build dynamic models represented by the transfer function and State Space Models of a single input variable and a single output variable, The input and output variables are represented by the temperatures of the water before the filtration process and after the filtration process to convert it into potable water .As a transfer function model will be built for a single input variable and a single output variable for real data and Fuzzy data, building transfer function models and state space models, finding predictive values and comparing results.
RIVALITAS BONEK DAN AREMANIA DALAM PERSPEKTIF KOMUNIKASI

Supporters are an important part of a football match. It can be said that a supporter is the twelfth player of a football team. The phenomenon of supporters in the world of Indonesian football is the emergence of fanaticism which in the end this fanaticism creates rivalry. This can be seen from the rivalry between Bonek and Aremania. This study aims to find an overview of the rivalry between Bonek and Aremania in perspective communication. The method in this study is a qualitative method with a literature study approach. In this case, the information data is sourced from documentation information, records, and so on.The results obtained in this study are that the support phenomenon is a phenomenon that must occur in the world of football. These supporters have their nicknames. Messages in the rivalry between Persebaya and Arema supporters are dominated by messages that show the hatred of both parties. The second supporting media rivalry generally uses two media, namely conventional media and digital media. The media used to express rivalry have an impact in spreading rivalry between generations and maintaining that rivalry.
Upaya Peningkatan Kemampuan Peserta Didik dalam Memahami Cerita Pendek Melalui Kombinasi Model Pembelajaran Jigsaw dan STAD di SMP Negeri 1 Kedungreja Cilacap

The purpose of this study was to improve the ability of students to examine the structure and linguistic aspects of short stories using a contextual approach to a combination of Jigsaw and STAD learning models. This research method uses classroom action research. The research subjects were 32 students of class IXF SMPN 1 Kedungreja. The data collection technique of this research used observation sheets and tests. While the data analysis technique is descriptive analysis. The results of this study indicate that the application of a contextual approach to the combination of Jigsaw and STAD learning models can improve students' abilities in studying the structure and linguistic aspects of short stories. The results achieved in Cycle I, the class average score in succession, the final score was 76, the expert group score was 75, the origin group score was 76, and the quiz score was 78. While in Cycle II the class average score was 90, the group score was 93 experts, 87 original group scores, and 89 quiz scores, and all students experienced complete learning.
CURRENT TRENDS IN THE VISUAL TRANSFORMATION OF PERIODIC PUBLICATIONS IN THE FIELD OF MEDICINE AND SOCIAL CARE

Contemporary trends in book publishing, "supported" by the imposition of online communication by means of information technologies, necessitated a complete change in the vision and presentation of the media in general, and for specialized periodicals in particular.The destiny of specialized publications follows the line of visual transformation of other publications.Although slower, this process is also observed in Bulgarian periodicals, incl.journals in the field of medicine and social care.The transition has been smooth, initially involving a long co-existence of both print and online editions, leading to a complete transition of e-editions.
Detection of Email Spam using Natural Language Processing Based Random Forest Approach

An unsolicited means of digital communications in the internet world is the spam email, which could be sent to an individual or a group of individuals or a company. These spam emails may cause serious threat to the user i.e., the email addresses used for any online registrations may be collected by the malignant third parties (spammers) and they expose the genuine user to various kinds of attacks. Another method of spamming is by creating a temporary email register and receive emails that can be terminated after some certain amount of time. This method is well suited for misusing those temporary email addresses for sending free spam emails without revealing the spammers real account details. These attacks create major problems like theft of user credentials, lack of storage, etc. Hence it is essential to introduce an efficient detection mechanism through feature extraction and classification for detecting spam emails and temporary email addresses. This can be accomplished through a novel Natural Language Processing based Random Forest (NLP-RF) approach. With the help of our proposed approach, the spam emails are reduced and this method improves the accuracy of spam email filtering, since the use of NLP makes the system to detect the natural languages spoken by people and the Random Forest approach uses multiple decision trees and uses a random node for filtering the spams.
Electronic Jewellery: The Coalescing of Electronic Devices and Contemporary Jewellery

This paper discusses the innovative combinations of electronic devices and jewellery as a new approach in electronic jewellery.Jewellery is an expression of the human need to look stylish and appear attractive.There are plenty of jewellery designs available in the market namely necklaces, rings, bracelets, and earrings.At the same time, there are a variety of electronic devices that have become attractive to consumers.While an electronic device is used in the present age to assist people in communication, entertainment, and work operation, jewellery is generally known and worn only for the purpose of fashion regardless of age.Hence, researchers are looking forward to changing the way people perceive its use and the styling of jewellery.In this study, researchers discuss the potential of varying the styling of jewellery that have been combined with electronic devices.As jewellery makers and designers, researchers demonstrate a different approach to the development of jewellery making combined with electronic objects.Feedbacks retrieved from the questionnaires were categorized into two (2) main sections: Section A: Level of evaluation criteria on designs and Section B: Level of evaluation on the products.This study can widen the significance and style of wearable electronic jewellery based on design and product.
Advances in Machine Learning

Since its inception as a branch of Artificial Intelligence, Machine Learning (ML) has flourished in recent years [...]
Comparison of the Machine Learning Algorithms in Breast Cancer Risk Assessment with the Gail Model: Methodological Study

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Dependency-based Mixture Language Models

Various models have been proposed to incorporate knowledge of syntactic structures into neural language models.However, previous works have relied heavily on elaborate components for a specific language model, usually recurrent neural network (RNN), which makes themselves unwieldy in practice to fit into other neural language models, such as Transformer and GPT-2.In this paper, we introduce the Dependency-based Mixture Language Models.In detail, we first train neural language models with a novel dependency modeling objective to learn the probability distribution of future dependent tokens given context.We then formulate the next-token probability by mixing the previous dependency modeling probability distributions with self-attention.Extensive experiments and human evaluations show that our method can be easily and effectively applied to different neural language models while improving neural text generation on various tasks. 1 Models
Criteria for the formation of professional intercultural interaction between Russian and foreign students

The trajectory of the development of the modern world determines the special significance of the individual's ability to exist and act successfully in conditions of cultural diversity in the field of professional activity, which actualizes the problem of mastering the skills of professional intercultural interaction by future specialists. Participation in this type of interaction becomes possible already at the stage of mastering the profession in the educational organization of higher education due to the pedagogical meaningful organization of professional communication between Russian and foreign students. The article describes the criteria by which the success of professional intercultural interaction between Russian and foreign students is determined, the initial results of experimental work on the study of indicators according to these criteria are presented. The study was carried out from the position of a cultural approach, according to which subjects of pedagogically organized interaction are considered as representatives of a certain socio-cultural type. The main focus is on the interpretation of indicators obtained by specialized methods with comparison of responses from both Russian and foreign students. The results of the experiment allow us to approach an objective understanding of the initial and current state of the process of professional intercultural interaction between Russian and foreign students and take measures to intensify it in the conditions of the Russian educational organization of higher education. In conclusion, the problems of professional intercultural interaction between Russian and foreign students are formulated, which are correlated by the author with educational work at the university and focus pedagogical science on the search for methods, means and forms designed to ensure the appearance and development of Russian and foreign students both the need for professional intercultural interaction and the ability to carry out this interaction, to be a full and active participant there.
Evaluation of a Medication Robot Through Participatory Design Methods - A Case Study in Denmark

The demographics in Denmark are changing. People's life expectancy is increasing, which puts a strain on the home care resources. The aim of this article is to get a deeper insight to how a specific medication robot in elders' homes can be further developed and modified to create more independence. An insight to the end users is created through the use of participatory design methods. The methods illuminate the fact that the medication robots design is gawky, its alarm volume is too low, the robot itself is too big and that it lacks the functionality of being transportable.
SPA DENGAN PENDEKATAN ARSITEKTUR TROPIS DI KABUPATEN BENGKAYANG

Technological advances in internet use have affected new lifestyles for urban communities. In the time of the Covid-19 virus pandemic, the use of internet technology became more intense because of work, education, and other things implementing the Work From Home (WFH) system. This can trigger stress due to work time and not working that has melted as if it does not know the time. Concerns about the health of urban communities due to high levels of stress give rise to the phenomenon of therapeutic tourism as a means for relaxation and recreation in one area. The design of “SPA Dengan Pendekatan Arsitektur Tropis di Kabupaten Bengkayang” with destination SPA program is seen as an opportunity aimed at preventing, healing, and restoring one's physical and psychic state. Destination SPA has facilities in the form of complete SPA services, body treatments, hot spring baths, health education, healthy cuisine, beauty treatments, fitness, as well as rental and room service. Samudera Indah Beach is one of the beach attractions in Bengkayang Regency, is a tourism development area with beautiful scenery. Tropical Architecture approach in SPAtial and building arrangement is applied in order to solve tropical climate problems at the design site and can realize natural impressions in accordance with the nature of nature. The methods used in this design, namely the idea stage, the data collection stage, the analysis stage, the synthesis stage, the pre-draft stage, and the planning stage.
Indonesian Sign Language System Analysis for Deaf Students at SLB Negeri 7 Jakarta During Pandemic

This research aimed to determine the kinds and how sign language used by Deaf students in SLB Negeri 7 Jakarta, especially during the current Covid-19 pandemic. It was preceed as descriptive qualitative research which complied with observation and questionnaire method for data collection, continued by data analysis in accordance with Pierce’s Semiotics theory. The sample data was taken from the sign language produced by Deaf students at SLB Negeri 7 Jakarta. It was analyzed with SIBI Dictionary to find the prudeced sign meaning. This research resulted that SLB Negeri 7 Jakarta used SIBI as the main language on the learning activity and communicate between teachers and Deaf students.
Arduino-based night return mechanism for passive solar trackers

&lt;p&gt;Solar trackers are support platforms that keep photovoltaic panels facing the sun by following the sun from dusk to dawn. There exist active solar trackers that make use of motors and gears to orientate the photovoltaic panels towards the sun; and passive solar trackers that operate through the differential heating of the fluid in the tracking rack to follow the sun. Passive solar trackers suffer from the lack of a night return mechanism and a slow wake-up response in the mornings due to the limitations on the surface inclination angle of the rack. This paper seeks to address these issues by proposing an Arduino-based night return mechanism for passive solar trackers. An energy-saving heating element such as the ultra heating fabric manufactured by WireKinetics Co. is installed on the west-side canister of the tracker. Before dawn, the fabric is automatically heated and this will force the refrigerant in the west-side canister to vaporize and cool in the east- side canister, forcing the tracker to return and face eastward before sunrise. The night return mechanism is designed and simulated using Proteus profesional. Simulation results show that this system can significantly optimize the function of passive solar trackers.&lt;/p&gt;
Active Learning-Based Optimization of Scientific Experimental Design

Active learning (AL) is a machine learning algorithm that can achieve greater accuracy with fewer labeled training instances, for having the ability to ask oracles to label the most valuable unlabeled data chosen iteratively and heuristically by query strategies. Scientific experiments nowadays, though becoming increasingly automated, are still suffering from human involvement in the designing process and the exhaustive search in the experimental space. This article performs a retrospective study on a drug response dataset using the proposed AL scheme comprised of the matrix factorization method of alternating least square (ALS) and deep neural networks (DNN). This article also proposes an AL query strategy based on expected loss minimization. As a result, the retrospective study demonstrates that scientific experimental design, instead of being manually set, can be optimized by AL, and the proposed query strategy ELM sampling shows better experimental performance than other ones such as random sampling and uncertainty sampling.
Recognition of Handwritten Javanese Script using Backpropagation with Zoning Feature Extraction

Backpropagation is part of supervised learning, in which the training process requires a target. The resulting error is transmitted back to the units below in its training process. Backpropagation can solve complicated problems because it consumes less memory than other algorithms. In addition, it also can produce solutions with a low error rate while executing less time. In image pattern recognition, backpropagation can be utilized for cultural preservation in many places worldwide, including Indonesia. It is used to recognize picture patterns in Javanese script writings. This study concluded that feature extraction approaches, zoning, and backpropagation could be utilized to distinguish handwritten Javanese characters. The best accuracy is attained at 77.00%, with the network architecture comprising 64 input neurons, 40 hidden neurons, a learning rate of 0.003, a momentum of 0.03, and an iteration of 5000.
Profiling Students for Online Teaching and Learning Environments: A Case for the University of Namibia, Rundu Campus

The purpose of the study, through a survey 1) established the devices that students have access to and the mode of internet connection, 2) described students’ level of digital literacy, 3) established their preferred mode of learning, and 4) established their frequency of access to the devices. About 441 1st year students enrolled for Integrated Media and Technology Education 1 at the University of Namibia, Rundu Campus were targeted. About 63 students responded to the web-based questionnaire items via a WhatsApp group. The study found that students limitedly access their work via smartphones and laptops. Participants preferred to work in groups and were able to regulate their own learning. Therefore, educators need to use a variety of instructional materials in order to align to students learning styles during Coronavirus (COVID-19) pandemic when moving teaching and learning activities to online-learning environment as a strategy for remote learning.
Reform and Innovation of College English Teaching under Internet + Environment

In the context of the Internet, the "Internet + Industry" model has been widely used in all walks of life, and "Internet + education" is also developing vigorously. How to give full play to the positive role of the Internet and apply the rich teaching resources and information technology in college English teaching is a problem that all colleges and universities are actively exploring. In the context of "Internet +", college English teaching should actively innovate, make full use of Internet technology and information resources, and help students to improve their grasp of English theoretical knowledge and oral English expression ability.