Reviewerly/exHarmony huggingface dataset:
Dampak Fasilitas Dan Niat Menggunakan Terhadap Perilaku Pengguna E-Learning

The purpose of this study was to analyze the effect of facility conditions, intention to use and user behavior. This study uses an explanatory quantitative approach with a sample of 280 respondents. Methods of data collection using the method of documentation and questionnaires. The data analysis method uses SEM with the WarpPLS approach which will test causality in the exploratory design, so that a causal path of new findings is obtained that is more suitable for use in interpreting the data correctly and accurately. The results of this study indicate that the condition of adequate facilities can increase the behavioral intentions and interests of e-learning users.
The Design and Construction of an Expressive Mechatronic Chordophone

&lt;p&gt;&lt;b&gt;Mechatronic chordophones are stringed instruments that integrate mechanical components and electronics to make music. These instruments offer precise control over multiple sound parameters and expressive techniques for enhanced musical expression.&lt;/b&gt;&lt;/p&gt; &lt;p&gt;There have been multiple successful mechatronic chordophone designs,from robotic slide guitars to bass guitar robots. Among these designs are plucked string and pitch shifting mechatronic chordophones, which make music by exciting the string with a picking mechanism and selecting musical notes with a pitch shifter mechanism. This configuration enables these systems to enhance their musical performance through pitch-based expressive techniques and micro tonal pitches. &lt;/p&gt; &lt;p&gt;However, even if these instruments can achieve speeds and precision beyond the capabilities of a human performer, their expressive capabilities are limited. It is difficult for mechatronic chordophones to perform dynamic variations and expressive techniques,and the presence of extraneous noise usually interferes with their musical performance. Furthermore, it is still challenging for users to control such instruments.&lt;/p&gt; &lt;p&gt;We have built two mechatronic chordophones. The first is Protochord, a mechatronic monochord prototype. We used this system as a platform for iterative design to develop new expressive mechatronic chordophone subsystems. The second is Azure Talos,a multi-string mechatronic chordophone designed to outperform other existing systems and to afford a wide array of parameters for musical expression. &lt;/p&gt; &lt;p&gt;Our research has led to the development of novel mechatronic chordophone subsystems such as: a revolving picking mechanism with superior dynamic variation capabilities compared to that of other existing designs; a fast and precise robot arm pitch shifting mechanism that affords pitch-based expressive techniques; and an optical pickup that rejects extraneous noise. We have demonstrated the technical capabilities of these designs through quantitative evaluation processes, in many cases providing the first set of quantitative tests in the literature of these types of sub-assemblies and systems. A key aim is to provide standards and benchmarks in evaluation criteria which may be used in the development of new mechatronic chordophones.&lt;/p&gt; &lt;p&gt;Finally, we developed strategies to assess Azure Talos' musical capabilities through standard guitar techniques, repertoire examples,and creative musical explorations.&lt;/p&gt;
GÜZELYURT – ABBASLAR ARASINDAKİ (DULKADİROĞLU – KAHRAMANMARAŞ) KAYAÇLARIN PETROGRAFİK EVRİMİ VE EKONOMİK POTANSİYELLERİ

The study area between subdistrict Güzelyurt, 11 km southeast of the city Kahramanmaraş and the Abbaslar village. Mesosoic and Senosoic age units are obsorved in the field the oldest units are tectonites, the parts of the ophiolitics series which moved into the field by mounting in the Upper Kretase. Serpantinites which are formed by the alteration of partically or completely serpantinized and harzburgite and peridotites, form the tectonites. Tectonically bordered Paleosen-Eosen limestones have came into ophiolitic series. The youngest units in the area are plateau basalts which are the results of Cretase-aged volcanism. Besides, they have proved to the different from the basalts of the ophiolitic series because they have been spilitised as regarded with the appereans in the area and they don’t show cushion flow. These rocks, defined as olivined basalt after the microscopic studies. Peridotites in the ophiolite series in the study area are noteworthy because they contain chromite. The chromites in the region take place in the peridotites as scattered grains and small pockets. Detailed studies are needed to reveal the economic values of chromites in a healthy way. Especially west of Denizli village and north of Tevekkeli village can be suggested as places where work should be intensified. However, limestones and basalts in the formations cropping out in the study area are used as building blocks in small and large settlements in the region.
Time Spent and Academic Study Behavior of the Students of Agrotechnology Discipline of Khulna University of Bangladesh

The main purpose of the study was to determine the time spent and academic study behavior of the students of Agrotechnology Discipline of Khulna University, Khulna-9208, Bangladesh. A number of activities were considered to measure the time spent by the students. Data were collected from randomly selected fifty students of five batches (2010-2014) of Agrotechnology Discipline, Khulna University. Data were also collected on selected eight characteristics of the students through personal interview using an interview schedule during October-November, 2014. The respondent students spent their time in eleven activities such as religious activities, academic learning, personal learning, games/sports, personal activities (sleeping, bathing, taking meal), chatting/gossiping with friends, private tuition, interaction with senior and/or junior, watching TV, internet browsing and mobile talking to different extent. Among the eleven activities, the respondent students preferred to spent highest time (7.827 hours) in personal activities followed by academic study (7.705 hours) which includes residential hall room, classroom, library and group studies. The respondents also preferred to spend least time in interaction with senior and/or junior (0.385 hours). Out of twenty four hours, the respondents were not able to indicate/specify the activities where they have spent the rest 1.465 hours. Most (86%) of the respondents showed medium to high academic study behavior. Among the selected eight characteristics of the respondent students, only participation in extracurricular activities showed a negative significant relationship with the academic study behavior/time spent in academic study of the students.&#x0D; South Asian J. Agric., 7(1&amp;2): 61-66
PERSONALITY’S EXPERIENCE OF HAPPINESS

Happiness is an intuition that lies at the core of a person’s life. It is positively accented, and the person strives to happiness, wants to experience it. Thus it is important to understand what experience is, what its psychological essence is, in order to approach the experience of happiness with all due competence. One of fundamental experiences that makes the person happy is experience of freedom. We understand experience as an “analysis unit” of personality, as a complex interfunctional dynamic system that expresses in a significated form the general personality’s state that occurs under the influence of impression. The happiness’ experience is a complex aspiration of personality to focus on positive aspects of his/her life.While experiencing happiness we become innerly, essentially free, and this feeling of freedom is the basis for the further experiencing of happiness. Alpha and Omega of happiness’experiencing by personality is the person’s inner feeling of freedom. Keywords: happiness, freedom, experience, personality, psychology, impression.
The Proliferation of End Users as a Success Metric for Cryptocurrencies

Over the last decade, numerous studies have examined the remarkable appreciation of cryptocurrencies and have typically focused on their price and the factors that predict them.In contrast, this paper argues that the success of a cryptocurrency is determined not only by its monetary value but also by the proliferation of its end users.Specifically, we hypothesize that changes in developers' and miners' activities drive the growing proliferation of a cryptocurrency's end users.Building on the Bitcoin case, we use a time-series model based on 4,285 Bitcoin daily observations to suggest that changes in the number of end users are anticipated by surges or drops in activity by the developers and miners who develop and maintain the network.We further find a limited relationship between these variables and the price of Bitcoin.These results support an alternative view of cryptocurrencies' success and highlight further research avenues in this nascent domain.
A Comparative Study between the Request Sentence for Modern Mongolian and Korean Language Learners

This study provides an overview of the types, compositions, meanings, and functions of Mongolian request sentences. They were subsequently analyzed by comparing them with Korean request sentences. Several conclusions were drawn from this study. Mongolian requests are those within the structure of a command and are relatively closely bound up with the semantic category of command sentences. One characteristic common to both Korean and Mongolian requests is that they are both are identified by their terminal suffix at the end of the sentence. However, in Mongolian, requests do not have their own independent category, but are rather contained within the structure of commands. Korean differs in that requests are an independent sub-type of sentence structures, revealing a significant grammatical difference from Mongolian. Both languages construct requests by connecting the predicative verb with a sentence-terminal suffix, which makes the constructions generally similar. Mongolian, however, uses a personal sentence-terminal suffix, meaning that the speaker is able to indicate clearly the number of persons the request is to be acted upon. In contrast, Korean sentence-terminal suffixes reveal both the agent of the request and the relationship of the listener to the speaker according to the Korean system of honorifics.
Self-Reliant Dimensionality Reduction That Uses Improved Pareto Distribution PCA Framework

An improved Pareto Distribution-based Principal Component Algorithm is a well-known linear technique for reducing the dimensions of any dataset. Essentially, it performs an orthonormal transformation of all the variables, replacing possibly correlated ones with linearly independent ones, referred as principal components, which effectively capture a wider bandwidth of the variance in the data. Many studies have been undertaken to determine the ideal number of principal components for offline PCA. Flowing data, however, constantly changes the optimal number. It is therefore necessary to update both principal components and dimensionality on every time step. Despite the widespread study of continuous updating of the principal components, dimensionality adjustment algorithms are generally restricted to increase of one parameter in neural network featured and incremental PCA. Consequently, existing approaches cannot accommodate predominant fluctuations in the presented data. We present a novel method for updating the optimal number of principal components relative to a neural network based PCA based on several PCA characteristics. A precise calculation of the required dimensionality greatly prevents computation effort while keeping variance within the desired range. It is found that the proposed algorithm has a high computational complexity, and it is benchmarked over any other non-neural network-based and incremental PCA approaches in an experimental study.
Peranan Teknologi dalam Meningkatkan Kualitas Pengajaran Bahasa di SMA Negeri 1 Janapria

This study aims to determine the role of technology in improving the quality of language teaching at SMAN 1 Jaanapria. This type of research is quantitative and qualitative research. The research method used combines qualitative and quantitative methods (mix methods). The data obtained from this study were from interviews and observations and data obtained from questionnaires/questionnaires. There are two elements studied in the data analysis: the element of student learning motivation and the element of the role of technology in language learning. From the discussion, it can be concluded that the student's learning motivation in class averages 65.5%, meaning that students at SMAN 1 Janapria on average often pay attention to teachers in class. Besides that, students also desire to solve problems and discuss them with others. Other students for the learning process. While the role of language learning technology is an average of 56.3%, meaning that students and educators, especially teachers, sometimes use technology in the language learning process. Students think technology is needed to support the language teaching and learning process in the classroom.
MULTINATIONAL ENTERPRISES AND THE SUSTAINABLE DEVELOPMENT GOALS IN NIGERIA

The qualitative impact and influence of multinational corporations (MNCs) on society, as defined by the United Nations (UN) 2030 agenda, as well as their contribution to Nigeria's attainment of the Sustainable Development Goals (SDGs), were studied (SDGs).Additionally, it establishes the framework for a "new corporate social responsibility" in terms of the corporate Nigerian business sector's increasing commitment to sustainability.This research also examines the nature and function of multinational corporations, contrasting non-state elements, responsibilities in broader social settings, and state obligations in achieving the SDGs.Additionally, this study suggests practical measures for achieving the SDGs in Nigeria, including progressive roles for both the state and multinational corporations (MNCs), with the goal of complementing states' responsibilities for providing public goods and social services that will assist Nigeria and Africa in achieving the SDGs.
Assessment of situation in educational activities with need to introduce remote technologies during pandemic

The article aims to assess the options for DO according to their requirements for the competencies of employees; the correspondence of the existing competencies of the personnel to work with subsidiaries was revealed; Substantiated the criteria for choosing a subsidiary, taking into account the compliance with the objectives of the organization and the revealed discrepancy of competencies; methods for calculating labor costs are proposed; the possible motivational techniques were evaluated, to use them in personnel management in the process of transition to the use of distance learning in the educational process. The article identifies and analyzes various groups of risks associated with this process (prejudices, risks of losing that value that is accumulated by pedagogical experience, risks associated with the loss and change of authority in the teaching staff), the possibilities of their leveling, directions of work with them are offered. analysis of existing preschool education, based on the needs of the teaching staff, additional criteria for the selection of preschool education have been formulated.
Estimating global irradiance on tilted surfaces using a cubic multi-directional pyranometer array

The multi-directional pyranometer array is a method for estimation of the global irradiance on a tilted plane and the direct irradiance based on the simultaneous measurement of global irradiance on a set of stationary surfaces with different inclinations and orientations. Experimental testing shows that estimates of global irradiance on a tilted plane are 50% more accurate than transposing measured global and diffuse irradiance. A simplified layout of five sensors yields comparable results.
Classification Error Approximation of a Compressed Linear Softmax Layer

Deep neural networks need to be compressed due to their high memory requirements and computational complexity. Previous papers have proposed numerous methods to quantize the weights with a single bit or more. However, the loss of accuracy involved in the compression is scarcely studied from a theoretical point of view. Motivated by the rate-distortion theory, we propose a new distortion measure which assesses the gap between the Bayes risk of a classifier before and after the compression. Since this distortion is not easily tractable, we derive a theoretical approximation when the last fully connected layer of a deep neural network is compressed under the assumption that the layer inputs follow a multivariate normal distribution. Numerical results show that the approximation performs well on both synthetic and real data. We also show that heuristic quantizers proposed in the literature may not be optimal.
Designing a Teaching Website for Early Warning Technology Support Specialty Based on Information Architecture

With the advancement of education informatization, learning through the internet has become a very important approach. Existing teaching websites generally have problems such as low accuracy of information grouping and obvious disconnection between the navigation system and content. Based on information architecture, a teaching website for early warning technical support specialty is designed in this paper from four aspects: content organization, identification, navigation, and interaction. The unification of information processing and information requirements is achieved using this method, which improves the quality of professional course construction for early warning technology support specialty.
Approximating Noncontinuous Functions

In this chapter, we will discuss the neural network approximation of noncontinuous functions. Currently, this is a problematic area for neural networks because network processing is based on the calculation of partial function derivatives (gradient descent algorithm), and our ability to calculate them for noncontinuous functions at the points where the function value suddenly jump or drop is questionable. We will dig into this issue later in this chapter. The chapter includes the method that I developed that solves this issue.
Lib2Life – Domain Categorization of Books using BERT Language Models and Knowledge Graph Population

Ontologies provide domain conceptualizations for storing knowledge in a unified and structured machine-readable format.Following the initial conceptualization of the domain centered on defining classes and corresponding properties, the process of properly instantiating and keeping up-to-date individuals can become tedious.Thus, the need for knowledge processing systems that automatically populate and update their knowledge representations increases.This paper introduces an approach to manage, organize, and automatically populate the Lib2Life ontology containing historical documents provided by the Central University Libraries in Romania.Our method integrated in the Lib2Life platform instantiates individuals in the RDF knowledge graph following book categories that are inferred using stateof-the-art language models.As such, new documents to be included in the Lib2Life platform are automatically categorized with an F1-score of .73 using a fine-tuned Romanian BERT model.
Artificial Intelligence based Pacman Game

This paper is about implementing pacman game with AI.The Game Pac-Man is a very challenging video game that can be useful in conducting AI(Artificial Intelligence) research. Here,the reason we have implemented various AI algorithms for pacman game is that it helps us to study AI by using visualizations through which we can understand AI more ef- fectively.The main aim is to build an intelligent pacman agent which finds optimal paths through the maze to find a particular goal such as a particular food position,escaping from ghosts.For that, we have implemented AI search algorithms like Depth first search,Breadth first search,A*search,Uniform cost search.We have also implemented multi-agents like Reflex agent,Minimax agent,Alpha-beta agent.Through these multiagent algorithms,we can make pacman to react from its environmental conditions and escape from ghosts to get high score.We have also done the visualization part of the above AI algorithms by which anyone can learn and understand AI algorithms easily.For visualisation of algorithms,we have used python libraries matplotlib and Networkx.
RiTAS Application Oriented to Ausubel Learning Theory for Social Studies Content: Validity and Feasibility

The implementation of online learning tends to make students bored if they only use learning media in the form of videos taken from YouTube and assignments given by the teacher through Google Classroom and Whatsapp groups. The limited ability of teachers to use digital learning media is the cause of the monotony of learning media during online learning. The purpose of this study is to describe the design and validity of the learning media application being developed. This development research applies the ADDIE model. Data collection was carried out by using a questionnaire method with a questionnaire instrument. The data analysis used qualitative and quantitative descriptive analysis methods. The subject of this development research is learning media in the form of an android application. Furthermore, the subject matter is reviewed by expert validators, learning design experts, media experts. Finally, the students conducted trials individually and in small groups. The results of data analysis based on media validation by material experts obtained a score of 92.8% with very good qualifications, learning design experts got a score of 87.5% with good qualifications, learning media experts got a score of 85% with good qualifications. The results of individual trials on 3 students obtained a score of 90.1% with very good qualifications and tests through small group testing on 9 students obtained a score of 90.9% with very good qualifications. Based on the results of the analysis of product test data by experts and the results of testing on students, it is concluded that this research learning media is valid and suitable for use in learning by grade VI students.
Transversals in hypergraphs through a new combinatorial game

In this paper, we explore a new combinatorial game called (a, b)monochromatic transversal game proposed by Mendes et al. in 2020.This game is defined over a hypergraph and it is played by two players, Alice and Bob, that alternately take turns colouring a vertices in red, if the player is Alice, or b vertices in blue, if the player is Bob.Alice wins the game if she obtains a red hyperedge transversal while Bob wins the game if he obtains a monochromatic blue hyperedge.Moreover, as part of the rules of this game, both players can start.In the next pages, we study the game over biclique-hypergraphs of powers of paths and of powers of cycles and show winning strategies for each player, according to the choices of a and b.
DEEP LEARNING APPLICATION FOR IMAGE ENHANCEMENT

Recently, deep learning has obtained a central position toward our daily life automation and deliveredconsiderable improvements as compared to traditional algorithms of machine learning. Enhancing ofimage quality is a fundamental image processing task and. A high-quality image is always expected inseveral tasks of vision, and degradations like noise, blur, and low-resolution, are required to beremoved. The deep techniques approaches can significantly and substantially boost performancecompared with classical ones. One of the main research areas where deep learning can make a majorimpact is imaging. This work presents a survey of deep learning on image enhancement and describesits potential for future research.