Reviewerly/exHarmony huggingface dataset:
Context aware Secure Collaborative Business Intelligence

To enable efficient decision making, professionals need to collaborate with individuals with data being a collected from various sources like distributed clouds for storage, very large databases and social media with authentication and validation is needed for access to relevant roles. Further application of machine learning to deal with unlawful actions. This paper proposes a Context Aware Secure Collaborative Business Intelligence Framework (CASCBF) to address the same. CASCBF is divided into three layers. Multiple sources of data provide different levels of abstraction and granularity of access control to different roles. To control different types of assemblage of data resources from distributed sources and provide right access to users to the edge of the network is a core challenge.
The Use Of Digital Technologies For Social Adaptation Of Indigenous Students

The article considers the problem of adaptation of students from the indigenous peoples of the North and Far East of the Russian Federation to the conditions of higher education institutions in the context of their modern ethnocultural self-identification. The rapid development of the Internet has served as an impetus for the development of social networks, as a result of which a new virtual multicultural environment has emerged. To be present in this new environment, all languages and cultures must be represented in it. Since 2021, two projects have been implemented aimed at the preservation and development of languages and culture. The first project “Digitalization of the linguistic and cultural heritage of the indigenous peoples of the Arctic" was initiated by the International UNESCO Chair of M. K. Ammosov North-Eastern Federal University and received the status of the project of the Arctic Council. The second is being implemented by the Siberian Federal University within the framework of the state assignment of the Ministry of Science and Higher Education of the Russian Federation to carry out work on the topic “Implementation of measures aimed at providing additional social support to persons belonging to the indigenous peoples of the North, Siberia and the Far East of the Russian Federation, studying in Russian educational institutions of higher education on programs that provide for the study of the languages and cultures of these peoples" through the new digital educational platform "Snoword" for indigenous peoples.
ANALISIS PENERAPAN KNOWLEDGE MANAGEMENT SYSTEM (KMS) PADA PT. HUMALA GIAT MANDIRI

This study discusses the concept of knowledgemanagement and also its application at PT. Humala isindependent. Knowledge management seeks to increaseuseful knowledge in an organization. Qualitativedescriptive method is a research method that the authoruses in this study. Knowledge Management is dividedinto two theories, namely resource based view theory(RBV) and knowledge based view theory (KBV). In thedelivery service company, knowledge management isapplied in the form of increasing resources and utilizingexisting information technology. The purpose of thisresearch is to analyze the application of knowledgemanagement at PT. Independent Active Humala. Theresults obtained in this study are PT. Humala GiatMandiri has implemented knowledge management well.
Penjadwalan Mata Pelajaran Menggunakan Integer Nonlinear Programming

Timetabling is one of the problems faced by large numbers of institutions, including schools. In this paper, this timetabling problem is mathematically modeled using Integer Nonlinear Programming to optimize the result with the non-linear objective function or constraint function. The model was implemented to solve the timetabling problem in one of Madrasah Tsanawiyah Islamic junior high school in Gorontalo. The result effective solutions in the form of subject and instructor timetabling that overcome the obstacles are obtained. To better the timetabling, supplementary teachers are still required for some subjects.
Development of Question Answering System for Public Relation Division in Student Admission

Politeknik Statistika STIS (Polstat STIS) holds the new students' admission (PMB) every year which aims to gather, test, and, select all of its applicants who want to continue their study at STIS. STIS establish a committee during this event named Public Relation (PR) Division. PR Division to be intermediaries between STIS and the applicants. One of many PR Division tasks is to reply to all the questions from applicants about administration, procedure, or other things about PMB and STIS. PR Division is facing some problems that can hinder its performance to do the tasks. How do we address the problem is the reason that this research begins in the first place. The goal of this research is to build and establish a web-based system that is capable to solve all the problems the current system has. The system is divided into two main functions, the first one is FAQ management by PR Division members. The other function is a chatbot that automatically answers the question by using the TF-IDF algorithm. The conclusion on all testing and evaluation is the system that being build is already fulfilled all its requirements also the system is feasible to be used.
A Combined Blinding-Shuffling Online Template Attacks Countermeasure Based on Randomized Domain Montgomery Multiplication

Online template attacks (OTA), high-efficiency side-channel attacks, are initially presented to attack the elliptic curve scalar. The modular exponentiation is similarly vulnerable to OTA. The correlation between modular multiplication&#x0027;s intermediate products is a crucial leakage of the modular exponent. This paper proposed a practical OTA countermeasure based on randomized domain Montgomery multiplication, which combines blinding and shuffling methods to eliminate the correlation between modular multiplication&#x0027;s inner products without additional computation requirements. The proposed OTA countermeasure is implemented on the Sakura-G board with a suppose that the target board and template board are identical. The experiment results show that the proposed countermeasure is sufficient to protect the modular exponentiation from OTA.
Choose your own weather adventure: deep weather generation for &amp;#8220;what-if&amp;#8221; climate scenarios

&amp;lt;p&amp;gt;Climate change is making extreme weather more extreme. Given the inherent uncertainty of long-term climate projections, there is growing need for rapid, plausible &amp;amp;#8220;what-if&amp;amp;#8221; climate scenarios to help users understand climate exposure and examine resilience and mitigation strategies. Since the 1980s, such &amp;amp;#8220;what-if&amp;amp;#8221; scenarios have been created using stochastic weather generators. However, it is very challenging for traditional weather generation algorithms to create realistic extreme climate scenarios because the weather data being modeled is highly imbalanced, contains spatiotemporal dependencies and has extreme weather events exacerbated by a changing climate.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;There are few works comparing and evaluating stochastic multisite (i.e., gridded) weather generators, and no existing work that compares promising deep learning approaches for weather generation with classical stochastic weather generators. We will present the culmination of a multi-year effort to perform a systematic evaluation of stochastic weather generators and deep generative models for multisite precipitation synthesis. Among other things, we show that variational auto-encoders (VAE) offer an encouraging pathway for efficient and controllable climate scenario synthesis &amp;amp;#8211; especially for extreme events. Our proposed VAE schema selects events with different characteristics in the normalized latent space (from rare to common) and generates high-quality scenarios using the trained decoder. Improvements are provided via latent space clustering and bringing histogram-awareness to the VAE loss.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This research will serve as a guide for improving the design of deep learning architectures and algorithms for application in Earth science, including feature representation and uncertainty quantification of Earth system data and the characterization of so-called &amp;amp;#8220;grey swan&amp;amp;#8221; events.&amp;lt;/p&amp;gt;
Development of an Aerial Fire Identification System Based on Visual Artificial Intelligence

To reduce losses due to fire, it is necessary to extinguish and rescue immediately. However, in the dense area fire trucks were unable to reach the fire site due to narrow road access. In this case, drones that can fly by themselves to the point of fire then release fire-fighting bombs automatically can help fire disaster management. This means it needs a system where it can identify whether there is a fire. This study explores the idea of identifying fire using computer vision approach by making 8 identification models with each dataset of day, night, day, and night, thermal, day filter, night filter, day and night filter, and thermal filter, which had been tested by a set of data that corresponded to each dataset. YOLOv4 algorithm and Google Colaboratory were used, where each model took 8-10 hours to be trained. Results show that the day and night model was the most robust by having the highest average F1-score, 0.37. And will be performing the best on thermal data test with the value of F1-score is 0.6. This can be a representation for exploring new ideas on further study of how to obtain the most suitable dataset and data test.
Nurturing Love for the Homeland as a Model for Primary School Work

The study aims to consolidate the experience of the Department of Primary Education of Samara State University of Social Sciences and Education in nurturing the love for the homeland while creating a verified model of the educational system.It includes stimulation models of future teachers' interaction with students designated to nurture the love for the homeland recursively and accommodates regional specificities of the alumni professional activity and the employers' needs.Among study methods, we can mention exploring specialized literature for verifying the design model, handling moral development concepts, modelling the system of teachers' value-based competencies, and the glossing technique.Pedagogical modelling is a leading method.The study has been performed for three years.The study revealed a recursive nature of the design model of nurturing the love for the homeland, a professional and moral value reflected in the diffusing stimulation models of interaction between students and primary school children as innovative learning formats and pedagogical techniques.The model of nurturing the love for the homeland promotes coordination of hands-on training of future teachers in professional and moral values in various fields of study; content orthogonality of the educational design model encompassing different ways of cooperating with museums, libraries, and cultural sites outside the lecture halls; raising public resources in order to implement it, which allows the students to produce facilitating stimulation models; axiological priorities in teacher education forming a comprehensive training system and fostering continuity of core curricula at any level of education.The study validity was tested in the course of a pedagogical experiment.
Factors that Promote Reading Culture and Its Impact on Society

From time immemorial, books have had a very intimate relationship in human life. Books are considered a symbol of civilization because of their relationship to reading habits. This is because the habit is an effort to develop human potential through the addition of knowledge. Doing research on the book industry is an interesting thing, because its development in line with technology is amazing. For example, today, reading material in the form of audio-books is increasingly gaining the attention of the world community. Nevertheless, books in physical form still have sentimental value in the hearts of readers, and still dominate the world market. Using a library approach through data collection on the website, this study examines the development of the book industry and its relationship with reading culture in Malaysia. In addition, factors that promote reading culture were also identified. In conclusion, efforts to increase the publication of books and cultivate the community with book activities must be continued and support from all parties must be done so that books can be fully utilized by the community.
Dynamic Meta-Information Management for IoT-based Applications

In recent days, the uses of Internet of Things (IoT) applications have been growing enormously. IoT considers the integration of business process models or process execution with resources of intelligent devices. The concept of process meta store (PMS) [1] optimizes the interactions between IoT devices and business processes. However, the mechanism of PMS highly depends on the meta-information of the system, associated devices, and interactions among them. In this context, a novel semantics of meta- information of process store (MIPS) for IoT-based applications is proposed in this paper. The semantics of various MIPS elements and their relationships are described using a class diagram. Further, a B+ tree-based indexing approach for the MIPS semantic is presented for efficient searching of meta-information. The semantics of MIPS are illustrated using the case study related to the clinical decision support system (CDSS). Moreover, a detailed comparative analysis has been carried out to show the expressiveness of MIPS.
THE NEW WORLD OF LITERARY CREATION: SUPPORT AND SUPPORTS

Studies on support, media and genres (MARCUSCHI, 2003;TÁVORA, 2012;BONINI, 2011) are developed for discursive domains in general, so that they can be operationalized and incorporated into the analysis, helping to understand the functioning of language.Often, in these domains, such as the journalistic one, there are differences in composition and textualization (FERREIRA, 2004), which, however, do not emphasize the genres present there, the reading of these genres or the notion of support.In the literary domain, specifically in the prosaic genres of fictional narrative, these concepts are problematized by and in literary creation.And they also make it necessary to discuss the concept of occupation of the support page, which goes beyond composition.For this article, we discuss the role of book support, in its constitutive aspects, in the creation of prosaic fictional genres, seeking to understand how this occupation is constituted.For this purpose, five fictional narratives were taken as corpus: S ( 2016), a novel by Abrams and Dorst; O Carteiro chegou (2007), of Ahlberg e Ahlberg; Diário de um ano ruim (2008), of Coetzee; O evangelho segundo Jesus Cristo (1991), of Saramago; and As Aventuras de Sherlock Holmes (2007), of Doyle.The results of the analysis point to different modes of interference in literary creation, being part of this creation, and in the reading process regarding decoding and fruition.
Tribute to Professor Piotr Francuz: Introduction to a Special Issue on Perception

This special double issue of Annals of Psychology is dedicated to the memory of Professor Piotr Francuz (1960–2020). In this editorial, we introduce the person of the Professor and present the initiatives commemorating him that have taken place over the past year. One of his most significant achievements was the initiation of the Perception and Cognition Lab at KUL, where experimental neurophysiological and behavioural research has been conducted in various areas of cognitive psychology. These basic and applied studies are currently continued by the Professor’s associates. The current special issue contains articles on diverse topics in which the authors—his collaborators and friends—adopt various theoretical perspectives and apply distinctive paradigms. This multi-faceted perspective corresponds with the wide range of Prof. Francuz’s scientific interests.
Data expansion method by combining unnecessary sentence deletion and most important sentence addition

We are studying data expansion methods in automatic summarization systems.In our research, the method of expanding the input article with unnecessary sentences deleted is the most effective of the extended methods.In the previous research, we have tried a method of adding most important sentences.In this research, we propose a method that combines the deletion of unnecessary sentences and the addition of most important sentences.We propose a hybrid method with two methods, one is to add important sentences first and the other is to add important sentences last.
Sign Language Recognition

This paper focuses on experimenting with different segmentation approaches and unsupervised learning algorithms to create an accurate sign language recognition model. To more easily approach the problem and obtain reasonable results, we experimented with just up to 10 different classes/letters in our self-made dataset instead of all 26 possible letters. We collected 12000 RGB images and their corresponding depth data using a Microsoft Kinect. Up to half of the data was fed into the autoencoder to extract features while the other half was used for testing. We achieved a classification accuracy of 98% on a randomly selected set of test data using our trained model. In addition to the work we did on static images, we also created a live demo version of the project which can be run at a little less than 2 seconds per frame to classify signed hand gestures from any person.
The Use of Sonification for the Analysis and Teaching of Interpretive Auditory Nuances

The integrative powers of human auditory perception in masterful performing artists can create nuances of sound from the interpretation of notes on a written page that often seem beyond one's grasp as a listener. It is important to consider what type of feedback can provide a clearer understanding of nuances in sound to guide motor learning for the acquisition of new skills for expression. Master pianists' performance has been used as a model for imitation. However, to ensure the accuracy of imitation and clear understanding, sonification was examined for its effectiveness in providing a more immediate understanding of individual interpretations in terms of inter-onset timing and velocity of the notes. Three master concert pianists volunteered to record a performance of the Chopin Nocturne Opus 15 No. 1 on a Yamaha Disklavier Pro MIDI (music instrument digital interface) grand piano. Logic software was used to analyze and compare MIDI data from each performance from the perspective of phrase-by-phrase, note onset timings, and corresponding data from the other pianists. The study objectives were to examine commonalities and differences in timing and dynamics among the performances using MIDI measurements; to probe whether listening to comparative performance data assisted with feedback from sonification would enhance music students' understanding of the interpretive nuances through imitation; and to determine whether auditory-assisted sonification feedback could be used as a tool to expand students' interpretive choices and enhance performance. Participants imitated selected phrases of each of the master pianists, first with only music listening, and then with feedback from the sonified, comparative performance data. Results showed limited success in attempts to imitate the model with auditory feedback alone. Auditory-assisted sonification feedback significantly enhanced the participants' abilities to imitate the model faster and with greater accuracy in the final imitation experiments. The data gathered by the study provide insights on this kind of sonification as an effective feedback tool for heightening participants' auditory understanding of nuances in sound, as well as providing an effective teaching tool for imitation exercises.
PROBLEMS OF DEVELOPMENT AND IMPLEMENTATION OF A PROFESSIONALLY ORIENTED APPROACH IN THE PROCESS OF TEACHING GENERAL EDUCATION COURSES AT A UNIVERSITY

The ongoing crisis in modern Russian higher education has led to the loss of some traditions of forming high-quality professional education in the process of teaching general and special professional courses. Under these conditions, the authors of the article substantiate the relevance of the development and application of a general professionally oriented approach, which provides for a natural increase in the professionalization of university courses of a general education profile, which form the humanitarian and physical culture of future specialists.
THE IMPACT OF SOCIAL NETWORKING SITES ON EMPLOYEE JOB RECRUITMENT

Job recruitment is a very important process in the building of an organisation. Recruitment is tough in the current pandemic environment. But many companies are looking into online recruitment portals to improve job recruitment. Potential Employees can apply to a vast array of these recruitment portals to improve their chances of landing a job. These Websites allow people searching for a job to display their Curriculum Vitae and past experience and achievements. With the advent of these sites, the entire job recruitment process is streamlined. Social Networking Plays a major role in the recruitment process of modern organisations and has become more widespread due to the pandemic. Keywords: Recruitment in IT Sector, Social networking sites, Recruitment through social sites, Talent acquisition, Recruitment through Linkedin, Recruitment through Face book, Recruitment through twitter.
The Implementation of Group Discussion in English Speaking Class for The Seventh Grade Students

The purpose of this study is to describe the implementation of group discussion in English speaking class for the seventh-grade students of MTs Nurul Huda Medini Gajah Demak in the academic year 2017-2018 and to explain the behavior during the process of the implementation of group discussion in English speaking class for the seventh-grade students of MTs Nurul Huda Medini Gajah Demak in the academic year 2017-2018. This research used descriptive qualitative research. The techniques of collecting data used observation, interview, and documentation techniques to gather the data. The writer concluded that all students enjoyed every English learning with group discussion, they can be expert students in speaking ability and could directly share their argumentation, opinion, suggestion, and also question, because the group is not too many members. The student’s ability in A, B, and C classes to speak in front of their friends were improved. Through group discussion, they get more vocabulary to speak and more confidence to use English routinely, although they still made grammatical mistakes and their punctuation was not perfect. Surely, in group discussion, the students were more cooperative with their group to share their ideas, even sometimes the situation was crowded because all of the students are active to discuss with their group. During this simple method applied, the students are more enthusiastic because they were not working individually.
APPRAISAL STUDY ON ATTITUDINAL ANALYSIS OF AN ARTICLE ENTITLED “WOMEN MAKE “KEBAYA” A FASHION MISSION”

This current study purposes to investigate the types of appraisals used in the article entitled woman make ‘kebaya’ a fashion mission posted in the Jakarta Post newspaper.. The article was analyzed based on an attitude framework consisting of appreciation, affect, judgment, and amplification based on Eggins &amp; Slade’s theory and Martin &amp; Slade’s theory. The data were analyzed in a qualitative approach. The finding shows that there are 34 lexical items of four types of attitudinal appraisal found in the article. The most occurred type of appraisal used is judgment. It takes almost half of the total number (47%) of lexical items found. Furthermore, this category consists of 10 lexical items that belong to social esteem and 5 lexical items of negative social sanction. It means that the writer's kebaya is more positively judged than a negative one.