Reviewerly/exHarmony huggingface dataset:
Prototipe Mesin CNC Diode Laser Cutting 5500 Miliwatt Untuk Pembuatan Produk Kreatif Bahan Akrilik

Advances in manufacturing technology in the creative industries began to leave the dominance of the role of humans into automated systems to produce high-quality products. CNC laser machine is a computer-programmed machine used to make a product by cutting, scraping, and engraving. In general, people think that CNC machines are expensive goods. The purpose of this study was to design a prototype diode type CNC laser machine for the manufacture of creative acrylic material products. The research method uses the stages of designing, manufacturing, and testing the performance of a diode type CNC laser machine. The CNC laser machine is designed as cheaply as possible by minimizing self-made components and using standard components such as machine frames using aluminum extrusion, laser using a 5500 mWatt laser diode type, stepper motor as an X, Y, and Z axis. Control software is used by USB CNC controller . CAD software is used by Aspire Vectric and CAM software is used GRBL with Adruino Nano microprocessors. The results of a Diode Laser CNC machine prototype with dimensions of 450×400×300 (mm); work area dimensions 300×200×35; engine weight 5 (kg). The ability to cut a diode Laser of 5.5 watt CNC machine on black acrylic 3 (mm) with an average time of 0.5 mm/s is the best result. Diode Laser CNC Machine engraving capability of clear acrylic material with dark color paper cover machining time 10 (mm / s).
Impacts of multimedia gloss on Learning Reading Comprehension in ESL context

With the expansion of education, and technology-mediated tools, the technology mediatedcourses are taking high response in teaching and learning by attracting learners' attention, particularly in the reading skills context.Henceforth, the current study's objectives were to know the effects of multimedia glossing in helping engineering students reading comprehension and to know which multimedia features remained the strong factors in enhancing reading comprehension of the engineering students of Mehran UET Jamshoro, Pakistan.Two research tools were used to collect the data from 20 engineering students studying in the first-year first semester of engineering university in Pakistan, and an action research design was followed to accomplish the aim of the research.The sample of the study was selected through the judgment sampling technique.The data collected from the test and analysed on SPSS.The qualitative data collected through the semi-structured interview and analysed through thematic analysis.The findings of the study demonstrated that the employment of multimedia glossing in the ESL reading comprehension class proved useful which scaffolded the process of texts' understanding effectively.In contrast, the audio feature remained the least effective in helping engineering students comprehending the information as compared to audio glossing and image multimedia features.Therefore, one of the suggestions of the research is for teachers and university administration is to plan a multimedia integrated lessons/ modules/ program with a proper guideline to conduct English language classes.Besides that, the university community should incorporate multimedia glossing according to the need of the learners, learning, and context in their lessons as it will let them visualize difficult abstract information without difficulty.
Sistem Informasi Pemesanan Rumah Makan Dapur Eladhia Berbasis Web

The application of information technology causes changes in work habits. That the development of information systems has penetrated into the business world, including the Eladhia Kitchen Restaurant, although it is still a new restaurant, many Sampit residents have begun to come to Eladhia's Kitchen Restaurant. This restaurant business has many transactions with consumers. However, it is hindered by the absence of informative online media for ordering that explains in detail the food offered as a promotional medium to facilitate ordering by customers for food and beverages. manual, and the transaction process is not properly archived so that business owners find it difficult to know the amount of income each month. In order for the management of order and payment transactions to be carried out effectively, a Restaurant Order information system is created that contains User Data, Product Data, Order Data, Payment Data, Order Data Reports and Payment Data Reports
A Real-Time Structured Output Tracker with Scale Adaption for Visual Target Tracking

The structured output tracking algorithm is a visual target tracking algorithm with excellent comprehensive performance in recent years. However, the algorithm classifier will produce error information and result in target loss or tracking failure when the target is occluded or the scale changes in the process of tracking. In this work, a real-time structured output tracker with scale adaption is proposed: (1) the target position prediction is added in the process of target tracking to improve the real-time tracking performance; (2) the adaptive scheme of target scale discrimination is proposed in the structured support to improve the overall tracking accuracy; and (3) the Kalman filter is used to solve the occlusion problem of continuous tracking. Extensive evaluations on the OTB-2015 benchmark dataset with 100 sequences have shown that the proposed tracking algorithm can run at a highly efficient speed of 84 fps and perform favorably against other tracking algorithms.
A Study on the Satisfaction of Educational Services in Teaching Methods in Online Learning

Background/Objectives: The survey was conducted on students attending the nursing department of the university in C area to examine their satisfaction with the educational service of teaching methods   in the online learning environment in university education was conducted in university education.Methods/Statistical analysis:The quality of lecture service, the value of lecture service and satisfaction of lecture service were investigated to find ways to increase the efficiency of online learning. General characteristics, technical statistics, t-test, and ANOVA were tested using SPSS 20.0.Findings: The online lecture service quality score was 3.35 ± 0.67, the lecture service value score was 2.95 ± 0.90 and the online lecture service satisfaction score was 3.14 ± 0.84. The service quality scores of online lectures differed depending on grade, one's own health condition, school life satisfaction, major satisfaction, and time spent on online classes. The value of lecture services differed depending on the satisfaction level of school life, major satisfaction level, and time spent on online classes. Satisfaction with online lecture services varied depending on grade, school life satisfaction, major satisfaction level, economic level and time spent on online classes.Improvements/ApplicationsThe satisfaction level of school life and major satisfaction is high, and the more time you spend on online classes, the higher the satisfaction level of online education services is statistically. Satisfaction with school life and satisfaction with majors are factors that affect satisfaction with educational services. Therefore, the maximum application of methods that can statically increase this satisfaction can be achieved to increase satisfaction with educational services.
Knowledge Acquisition in Artificial Intelligence

Abstract Artificial Intelligence has gained so much popularity and its vast variety of application is already being witnessed by us but some specific Artificial Intelligence system requires knowledge over a particular subject in detail which is called knowledge-based system. This knowledge-based system requires knowledge in a systematic way that requires structuring, organizing, and storing knowledge in a way such that machine can have an application such as an expert system that is used for the query, a suggestion in decision making. This leads us to a broader concept and it is one of the bottlenecks of these AI systems called Knowledge Acquisition as acquiring knowledge for the AI system has always been a pretty tight case because only accurate knowledge can build a precise system. This paper covers the basic aspects of Knowledge Acquisition such as definition, techniques and various other aspects and terms related to it. This paper provides a basic idea about how knowledge is acquired from field experts differently and organized and arranged for the knowledge-based systems. The primary motivation behind this paper has been to understand the various complexion and implications related to the knowledge Acquisition technique in a relatively easier and understandable form. At the end of this paper, one will be familiar with the terms, techniques, and various processes involved. Keywords: Knowledge Acquisition, Knowledge Representation, Expert System, Artificial intelligence, Intelligent System
Estafa de inversores y criptodivisas

espanolEn los ultimos anos se han creado en todo el mundo multiples plataformas en las que se negocia con criptodivisas y sus derivados, y otras en las que se realizan Initial Coin Offering, una forma de financiacion basada en la tecnologia Blockchain. Las similitudes con los mercados de valores convencionales y la cantidad de pequenos inversores que destinan sus ahorros a este tipo de inversion hacen necesario analizar si estos ultimos estan protegidos por la legislacion vigente. En concreto la presente obra pretende dilucidar, dada su importancia en los relativo a la tutela de los consumidores, si es posible incardinar la negociacion de criptodivisas y sus derivados y las Initial Coin Offerings en la conducta tipica del delito de estafa de inversores del articulo 282 bis del Codigo penal, es decir, si sobre las entidades que intervienen en la negociacion pesa el deber de emitir folleto de inversion al emitir estos activos, o el de informar o publicar acerca de ciertos hechos establecidos en la Ley del Mercado de Valores, y consiguientemente pueden falsear u omitir esta informacion. EnglishIn the last few years multiple platforms where the trading of cryptocurrencies and their derivatives takes place have been created around the world, as well as others in which a form of financing, known as Initial Coin Offering, based on Blockchain technology, is used. The similarities with the traditional stock market and the large number of retail investors that allocate their savings in this type of investment make it necessary to analyze if these subjects are protected by the current legislation. In particular, this paper intends to elucidate, due to the importance of the protection of consumers, if it is possible to include the trading of cryptocurrencies and their derivatives, as well as the Initial Coin Offerings, as a conduct constitutive of an investment embezzling crime contained in the article 282 bis of the Spanish Penal Code. In other words, this paper intents to solve whether companies that participate in trading have the duty of publishing a prospectus through wish issue these assets or if they have the duty of informing or publishing about particulars facts established in the Spanish Stock Market Law and thus can falsify or omit this information
Modelling Medieval Vagueness

The project An Agile Approach Towards Computational Modeling of Historiographical Uncertainty is building a taxonomy of historiographical uncertainty. We are focusing on early medieval texts as our case studies, because they are characterised by a high degree of “high stakes” uncertainty and a varied historiography characterised by a vivid debate. The additional factor of the manuscript text-transmission ensues that also the material aspect of the textual study will be covered in our attempt to build an adaptable taxonomy of historiographical uncertainty. Computational humanities need a robust methodological platform, that can be applied to a wide variety of projects. Uncertainty in general and geographical uncertainty in particular stand as the crucial aspects of this platform. We investigate a methodology of visualising geographical locales in historical texts and their historiographies that explicitly models uncertainty in.
Designing for Meaning

For all that many technology designers today gloss their work in terms of “creating meaningful experiences,” most design is focused on efficiency, productivity, self-indulgence, and pleasure-seeking, and little discussion has been had on what “meaningful experiences” actually means. Still, there is an opportunity and a need to design for meaning. In the research literature, there are some precedents for this, rooted in the Slow Technology movement. That research suggests, for instance, that personally meaningful designs should make space for evolution over time; be upgradeable, maintainable, and replaceable; and afford focused rather than distracting use. This work has room to be deepened and expanded. To begin, we can look to paradigms in psychology and philosophy for techniques to cultivate personal meaning: Life Review and poietic judgment. Two design strategies that emerge from this are noticing and purposing. But perhaps more important than following any particular strategies is the embodiment of a particular designerly mood conducive to engaging users with personal meaning.
UPAYA MENINGKATKAN KEMAMPUAN BERHITUNG MELALUI PENERAPAN MODEL PEMBELAJARAN CTL DAN PENGGUNAAN MEDIA VISUAL BERGAMBAR

To prove the effectiveness of the Contextual Teaching and Learning (CTL) learning model, the authors are interested in conducting Classroom Action Research (PTK) entitled: Efforts to Improve Counting Ability through the Application of the Contextual Teaching and Learning (CTL) Learning Model and the Use of Visual Media in Class B Students PAUD Indralaya School of Nature, District of North Indralaya, Ogan Ilir Regency. This type of research is Classroom Action Research with the research model Suharsimi Arikunto namely with two cycles. The process in this study there are four stages in each cycle, namely action planning, action implementation, observation, and reflection. The subjects of this research were 8th grade students of PAUD North Indralaya Natural School, Ogan Ilir Regency, which consisted of 8 people consisting of 3 men and 5 women. Data collection techniques using observation and documentation. By applying the Contextual Teaching and Learning (CTL) learning model and the use of visual media can improve numeracy skills in B grade students of the North Indralaya Natural School, Ogan Ilir Regency. This is evident that the mastery learning of pre-action or pre-cycle students is still low, namely 2 students (25%) with an average student's numeracy ability of 60%. The results of students' numeracy skills in the first cycle after applying the Contextual Teaching and Learning (CTL) learning model and the use of Visual Media showed significant success with an average of 68.75% and student learning completeness reached 5 people (62.50%). Because in cycle I still had not reached the desired average value, cycle II was carried out. In this second cycle students' numeracy ability experienced a significant development that is with an average student score of 92.50% and for completeness of learning reached the overall student that is 100%. Keywords : Counting Skills, Contextual Teaching and Learning (CTL) Learning Model, Visual Media
Types of educational organization managers in relation to their attitudes towards change: the relationship with the organization's characteristics

Introduction. Modernization of education highlights the role of educational organizations' psychological characteristics in promoting the development of innovative management styles used by educational organization managers. Aim: to analyze the relationship between educational organizations' psychological characteristics and the types of educational organization managers in relation to their attitudes to change. Methods. K. Freilinger and I. Fischer "How Do You Feel About Change?", V. Siegert and L. Lange "How Is Your Organization Developing?" (modified by L.M. Karamushka), V.O. Rozanov "Assessment of Job Satisfaction", G. Perue-Badu Subjective Well-Being Scale (adapted by M.V. Sokolova), and a questionnaire-passport developed by the author. Results. The empirical research conducted by the author found positive and negative statistically significant relationships between the three groups of psychological characteristics of the educational organization (intra-organizational, organization-and-staff interaction relevant, and organizational-functional) and certain types of educational organization managers in relation to their attitudes towards change. Conclusions. The findings can facilitate the development of innovative management styles used by education organization managers.
THE ROLE OF FOLKLORE IN THE EMERGENCE OF THE ART OF SINGING

This article gives you a brief overview on the art of music and how it came to be. The extent to which folklore has influenced the art of music has been proven.
A Tight Lower Bound on Adaptively Secure Full-Information Coin Flip.

In a distributed coin-flipping protocol, Blum [ACM Transactions on Computer Systems '83], the parties try to output a common (close to) uniform bit, even when some adversarially chosen parties try to bias the common output. In an adaptively secure full-information coin flip, Ben-Or and Linial [FOCS '85], the parties communicate over a broadcast channel and a computationally unbounded adversary can choose which parties to corrupt along the protocol execution. Ben-Or and Linial proved that the $n$ -party majority protocol is resilient to $O(\sqrt{n})$ corruptions (ignoring poly-logarithmic factors), and conjectured this is a tight upper bound for any n-party protocol (of any round complexity). Their conjecture was proved to be correct for single-turn (each party sends a single message) single-bit (a message is one bit) protocols Lichtenstein, Linial, and Saks [Combinatorica '89], symmetric protocols Goldwasser, Tauman Kalai, and Park [ICALP '15], and recently for (arbitrary message length) single-turn protocols Tauman Kalai, Komargodski, and Raz [DISC '18]. Yet, the question for many-turn protocols was left completely open. In this work we close the above gap, proving that no $n$ -party protocol (of any round complexity) is resilient to $\omega(\sqrt{n})$ (adaptive) corruptions.
Meydan Kalderası ve Gürgürbaba Domu Çevresinin Jeomorfolojik Özellikleri (Geomorphological Features of Surroundings of Meydan Caldera and Gürgürbaba Dome)

Turkish Abstract: Bu calismada, Van Golu’nun kuzeyinde Van ili sinirlari icinde yer alan Meydan Kalderasi ve Gurgurbaba Domu cevresinin jeomorfolojik ozelliklerinin incelenmesi hedeflenmistir. Inceleme alaninin jeomorfolojik evriminde etkili olan tektonik, volkanik ve hidrografik faktorler arastirilmis, volkanik kayaclarin yaslandirilmasi amaciyla radyometrik yaslandirma(40Ar/39Ar) yontemleri uygulanmis ve tematik haritalama calismalari icin Cografi Bilgi Sistemleri kullanilmistir. Volkanik kayaclardan (obsidyen) alinan ornekler uzerinde radyometrik yaslandirmalar yapilmis ve sonuclar literaturde verilen yaslar ile karsilastirilmistir. Jeokimyasal analizler (LA-ICP-MS) yapilarak volkanik urunlerin kokenleri ve ozellikleri belirlenmistir. Arastirma sonucunda Meydan Kalderasi’nin, Gurgurbaba obsidyen domunun olusumundan (420±24 ka) onceki bir donemde cokerek olustugu ve Gurgurbaba Domu’nun olusumu sirasinda Meydan Kalderasi’nin dogu yamacini tahrip ettigi sonucuna varilmistir. Meydan volkanik alani icinde yayilan tum obsidyenlerin kaynaginin Gurgurbaba Domu oldugu anlasilmistir. Ayrica, Meydan volkanizmasi drenaj aginda da degisiklige neden olmustur. Eski topografyaya gore sekillenen akarsularin drenaj tipi degiserek yeni volkanik topografyaya uyumlu radyal tipte bir drenaj agi gelismistir.English Abstract: The aim of this study is to investigate the geomorphological characteristics of Meydan Volcanic area located in the Van province north of Lake Van. Factors such as tectonic volcanic, hydrographic, which are effective in the geomorphological evolution of the study area were investigated, radiometric aging (40Ar/39Ar) methods were applied for the aging of volcanic rocks and Geographic Information Systems were used for thematic mapping studies. Radiometric dating was performed on the samples taken from volcanic rocks (obsidian) and the results were compared with the ages given in the literature. Origin and features of volcanic products were determined by geochemical analysis (LA-ICP-MS). As a result of the study, it was concluded that Meydan Caldera had collapsed before the formation of the Gurgurbaba obsidian dome (420±24 ka). The later extrusion of the dome has been and destroyed the eastern slope of Meydan Kalderasi during the formation of Gurgurbaba Dome It is understood that the source of all obsidian spread in the volcanic area of the Meydan is Gurgurbaba Dome. In addition, Meydan volcanism caused a change in the drainage network. The drainage type of the rivers formed according to the old topography has changed and a radial type drainage network compatible with the new volcanic topography has developed.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PRIORITAS PERBAIKAN JALAN MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) PADA DINAS PEKERJAAN UMUM DAN PENATAAN RUANG KABUPATEN LANGKAT

Roads are facilities and infrastructure that are very important for our daily lives, because roads are a link between one place and another. It is the duty of the Public Works and Spatial Planning Office to be able to manage data from all damaged roads. However, in handling road repairs, the relevant agencies are often not on target because of errors in determining the priority order of road repairs. Therefore, in this study a decision support system was built using the Analytical Hierarchy Process (AHP) method which is expected to assist the Public Works and Spatial Planning Service in determining priorities for which roads to repair based on criteria, namely road conditions, road length, and road width. , road surface type and average daily traffic (lhr). From the calculation results obtained the highest ranking value, namely Jalan Sp. Paya Salib - Paya Salib Kec. Serapit (A6) with a value of 0.384, so that the road deserves to be a priority to get treatment in road repair first.
Convolutional Neural Network based Echocardiogram Quality Analysis for Cardiac Health Diagnosis of Heart Failure

Machine Learning has been evolving day by day with many features. The core of the Machine Learning lies in the interaction between the neurons in the hidden layer. The neurons interact with each other by considering the weights between them. This results in the output of the system. There are many applications in which Machine Learning can be practiced. This project proposes neural network in medical science. It focuses on echocardiography. The term echocardiography means that the internal structure of a patient's heart is studied through the images. The ultrasound waves create these images. The abnormalities in these images are found through echo. The motive of this work is to decrease the overhead of the cardiologist.This approach will result in pointing the abnormality in the heart.Since, cardiologist and less experienced surgeons may take a while to figure out the defect or may miss the defect in the heart.This approach considers the view of apical four-chamber (A4C) which considers 4 chambers of heart.This is a powerful approach which can detect even a little defect in heart which human eye tends to ignore.