Reviewerly/exHarmony huggingface dataset:
Ζωγραφίζοντας με eye tracking

Eye-tracking technology is a method that in recent years is gaining more and more ground in user interface and computer research. It is a valuable tool for understanding attention, visual behavior, and human behavior in various areas of the scientific community, from psychology, neurophysiology, user experience, market research, etc. It can also be used for medical analysis and testing and provides a new method of interaction.The object of this diploma thesis is to utilize this interesting method for the implementation of a useful application. Initially, 100-year history of eye tracking is attempted and the metrics that can be used by the researcher during a study to uncover information about participant's behavior are recorded. The fields of application of the technology, the various ways of analyzing the data extracted during the research, as well as the types of eye trackers, systems, that is, eye tracking systems used to extract the data, are examined. An eye tracker is the key piece of equipment for using eye-tracking technology. Historically, these devices have been invasive and immobile, and therefore useful only in very limited experiments. While there are still some limitations, recent advances in technology have allowed for much smoother setup and more universal applications. The device can now be mounted on a desktop (PC) or laptop screen or, in some cases, can be adapted to the user's head. The system uses a light source, usually infrared, which is directed towards the user's eyes. A camera monitors the reflection of light and the movement of visible features of the eye, such as the pupil.The last section of the thesis develops an interactive application with the help of object-oriented Java programming language. Its goal is for the user to be able to paint on a blank screen, choosing with the look, initially the color he desires. Then, again with the gaze, he leads the pin (brush) to the place he wants, creating shapes and representations. He can, if he wishes, change the color of the brush, delete a part of the show he has created or the whole, returning to the original blank screen. All the above options are implemented using eye-tracking technology, through the Tobii 4C Eye Tracker.
Education Process Digitalization in Sociocultural Activity Managers’ Training

The process of the future sociocultural activity managers’ professional training under the conditions of information and educational environment in the higher education institutions is recreational-aesthetic and psychological-rehabilitative restoration of the future specialists’ intellectual and professional potential, which can be effectively applied in the different spheres of life.
Safety from False Confessions

In certain fields, the meaning of a “safety-critical system” is well understood, and resources are, therefore, invested in modern safety methods, which significantly reduces the rate of accidents. For example, the aviation field abandoned the obsolete “Fly-Fix-Fly” approach and developed more advanced safety methods that generally follow an “Identify-Analyze-Control” model and are aimed at “First-Time-Safe.” Under the latter approach, there is systematic identification of future hazards, analysis of the probability of their occurrence, and a complete neutralization of the risk or at least its reduction to an acceptable level. As explained in the article, a false conviction is no less a system error and accident than a combat-plane crash. Yet in criminal law, a “Hidden Accidents Principle” governs and the overwhelming majority of false convictions are never detected. Consequently, no thought has ever been given to safety in the system. Empiric studies based on the Innocence Project’s findings point to a very high false-conviction rate: at least 5% for the most serious crimes. About one-quarter of those convictions had been determined to be based on a false confession.Current confession law — in particular, the Miranda rules — only addresses the possibility of an involuntary confession. It does not seriously deal with the existing possibility of false confessions (which may be voluntary). This article proposes a theory and some initial tools for incorporating modern safety into the criminal justice system. Specifically, I demonstrate how the innovative “System-Theoretic Accident Model and Processes” (STAMP) safety model can be applied in the criminal justice system, by developing constraints, controls, and barriers against the existing hazards in the context of convictions grounded on the defendant’s confession during police interrogation.
Biogeochemistry as an exploration tool for gold in the Brännfors area, northern Sweden

Using plants as a sampling medium have been shown to be very successful when other exploration methods are ineffective. This is especially the case in glaciated terrains, where the overburden might ...
LibGuides: March is Reading Month: Challenges

This LibGuide is for a public library's March is Reading Month reading challenge. The target audience is elementary school-aged library patrons and their parents. Have fun and try new things with these daily challenges.
INCREASING STUDENTS’ VOCABULARY OF VII GRADE AT SMP N 3 TOLITOLI THROUGH WORD TREE

The objective of the research is to prove whether word tree branch can be applied to increase students’ vocabulary.. This pre-experimental study uses 30 students as a sample. They are grade VII f of SMP N 3 Tolitoli. The procedure of this research consists of pretest, treatment, and posttest. The result of the analysis shows that word tree branch contribute greatly to the students’ vocabulary. It can be seen by the difference of the mean score between pre-test and post-test. The mean score of pre-test was 51.47 while in the post-test improved up to 62.60. The data of this research are analyzed by using SPSS Program version 16.0. Then the data of both tests are analyzed by using T-test, and the result shows that the T-test value 7.377 is high than T-table value 2.045. It can be inferred that word tree branch was very effective to increase students’ vocabulary in descriptive text.  Keywords:  Increasing, vocabulary, word tree branch
ConvNet on Doppler Spectrogram: A Novel Enactment of Hand Gesture Recognition

Consumer electronics industry is investing much of its R&D backbone in realising the best human-machine interface at any point of time. Out of the different technologies conceived to meet this demand, hand gesture recognition is becoming a widely accepted one. Most of the existing systems are build by adding an additional sensing element to the device which is to be controlled. The present work introduces an external device free hand gesture recognition system using convolutional neural networks. The concept is proved in MacBook Air 13 inch laptop by converting it into an active sonar system and it can be extended to any of the similar mobile device with a pair of microphone and speaker. The system is able to decode and classify four types of hand gestures with a classification accuracy of 90%.
Case Study on Intelligent Classroom Teaching Based on Internet + Education

With the development of technology, intelligent classroom emerges as the times require.It is the result of the combination of emerging technology and traditional teaching, and has become the forefront of current education research content.With the help of network and big data analysis, this paper applies the smart classroom to English teaching, achieves the comprehensive analysis of English curriculum, expands students' learning time and space, greatly stimulates students' learning enthusiasm, changes the boring teaching in traditional classroom, and creates an intelligent learning atmosphere.
E-modul bahasa Inggris kelas XII : expressions of offering help

This module is a learning module that contains introduction,learning activities, practice exercises and evaluation. On theeleventh grade you have learned about the material ofexpressions, in this case we learn about Expressions of OfferingHelp. When we talk about offering, we can correlate it with ourdaily life. We have to learn suitable sentence to use and also theresponses. We do really hope that after learning this material,students will be able to use this expressions on the propermanner.
The Study of Humans-Artificial Agents Relationships in Retailing Contexts: The Role of Trust

The retail industry is at the inflection point where Artificial Intelligence (AI) and robots, are transforming not only business practices, but also the lives of consumers. This study focuses on how consumers develop relationships with AI technology in retailing contexts, by positing the role of trust in building human-AI relationships.&nbsp;Specifically, trust is proposed to influence humans’ perceptual (i.e., perceived usefulness, perceived enjoyment, and perceived risk) and behavioral responses (i.e., intent to continue use).&nbsp;Supporting the Theory of Social Response (TSR) and the Technology Acceptance Model (TAM), this study demonstrates that trust in digital assistants’ competence, benevolence, and integrity increased consumers’ intent to continue use of AAs through perceived usefulness and perceived enjoyment.&nbsp
Development of Archives Management Information System with RFID and SMS Gateway Development of Archives Management Information System with RFID and SMS Gateway

Filing is something that can not be exemplified by an organization or institution, which has a lot of important information, can be used to determine or influence concrete something that goes on within the institution or organization, in its development, the archive that remains, the technology today. not only the objects that can be touched but also something that is digitally we can call with digital archives or electronic archives (E-Archives). Archive management is an attempt by archives to present services that match the character of today's society. Through this report, the author wants to know how the security and security of the system in the E-Archive with RFID and SMS Gateway to anticipate the loss of archival data, as well as devices that become a medium for storing modern information to facilitate the task and archive services forward. Using this additional RFID (Radio Frequency Identification) tool is expected to confuse users and users in identifying users and documents archived in the E-Archive system. And the process of disclosure of documents that have been identified, and minimize the provision of loss of documents due to filing officer misconduct. Here also I added SMS Gateway as a reminder (Reminder) that is suitable to forget Archive documents to the archive officers not to be lost
Virtual private blockchains : security overlays for permissioned blockchains

Blockchain technology, while maturing, is still lacking features that would be considered indispensable in real-world business applications. In particular, the lack of transaction confidentiality in a public blockchain is a challenging problem. A possible solution might be the concept of a private blockchain. However, maintaining such permissioned blockchains requires resources, depends on a central authority and contradicts the original philosophy of pioneering blockchain systems such as bitcoin. In this paper, the concept of virtual Private Blockchain(VPBC) is proposed as a mechanism to create a blockchain architecture with properties akin to those of a private blockchain, however leveraging existing public blockchain functionality. A VPBC can be set up between individuals or organisations, does not require any significant administrative maintenance, inherits all the functionality from the public blockchain, and achieves anonymity and transaction confidentiality with respect to any public blockchain node who does not belong to the VPBC. Building on this theoretical concept, it is then shown how the cryptographic technique of secret sharing can be used in order to implement a simple VPBC architecture. A proof-of-concept architecture has been created and the first experiments indicate that the creation of VPBCs for potential real-world application scenarios might be feasible.
Digital Readiness of Faculty and Students at the State University using Modified General Technology Competency and Use Model with Rule-based Algorithm: Basis for Teaching and Learning Delivery Mode Policy

Purpose – As an academic institution, the Polytechnic University of the Philippines actively responds to the challenging effect of the COVID 19. One of the actions was to assess its faculty members and students' readiness in adopting digital and virtual worlds as an alternative to the traditional classroom-based learning and teaching method and to come up with appropriate decisions and policies.Method – The Digital Assessing Profiler is an online-based survey to assess the readiness of Faculty and Students in an online-based delivery of teaching. The researchers adopted and modified the General Technology Competency and Use (GTCU) online-learning framework in developing the Digital Assessing Profiler with Rule-Based Algorithm to forecast and to determine the readiness of the students and faculty members in adopting the digital virtual class settings.Results – This study grouped students and faculty into high and low-readiness based on technical, social, informational, and internet dimensions. By applying the rule-based model in the Digital Assessing Profiler, findings show that a large percentage of students are not that prepared for many online-learning activities, and there is generally greater readiness on mobile devices than desktops/laptops. However, large percentages of students appear in high-readiness segments for using social networks and technical and social interactions.Conclusions – The generated assessment on readiness will help the University in crafting relevant policies and guidelines for teaching and learning delivery mode. The researchers recommended the use of a digital assessor profiler which is based on a modified General Technology Competency and Use (GTCU) online-learning framework to align these patterns of strengths with future educational innovation.
Training and methodological fees for teaching staff of an educational organization: issues of modernization and improvement

The article is devoted to the issues of optimization of training and direct implementation of such a significant way to increase the effectiveness of educational and training impact on individuals studying in higher education institutions as an educational and methodological collection. A consistent analysis of the various stages and elements of the collection is carried out in terms of possible improvement. Possible ways of interaction of structural divisions of the University aimed at improving the methodological component of the pedagogical impact of all subjects of educational activity on students are proposed.
Opening the Black Box: Explanation and Transparency in Machine Learning

Machine learning algorithms often predict and classify without offering human-cognizable reasons for their evaluations. When confronted with the opacity of machine learning in science, what is our epistemic situation and what ought we to do to resolve it? In order to answer this question, I first outline a framework for increasing transparency in complex computational systems such as climate simulations and machine learning on big scientific data. I identify three different ways to attain knowledge about these opaque systems and argue that each fulfills a different explanatory purpose. Second, I argue that analogy with the renormalization group helps us choose the better of two philosophically suggestive explanatory strategies that rely on different diagnoses of the success of deep learning. The coarse-graining strategy suggests that highlighting the parts of the input which most contributed to the output will be misleading without two things: an explanation for why the irrelevant parts are themselves irrelevant, and an explanation for the stability of the output under minor perturbations of the input. Armed with a framework for understanding transparency and an analysis of explanatory strategies appropriate for deep learning, I turn to an application of these frameworks to automated science. Automated science is the use of machine learning to automate hypothesis generation, experimental design, performance of experiment, and evaluation of results. If automated science is to find patterns on its own, then it must be able to solve the Molyneux problem for science, namely recognizing identity across modalities or data streams without the aid of causation or correlation.
RANCANG BANGUN MULTIMEDIA PEMBELAJARAN MENGGUNAKAN MODEL DISCOVERY LEARNING BERBASIS ADVENTURE GAME UNTUK MENINGKATKAN PEMAHAMAN INTERPRETASI SISWA SMK PADA MAPEL JARINGAN DASAR

Penelitian ini bertujuan untuk meningkatkan pemahaman interpretasi siswa dengan menggunakan multimedia pembelajaran berbasis adventure game. Untuk mencapai hasil belajar yang optimal, penelitian ini menggunakan model pembelajaran discovery learning yang dapat mengubah kegiatan belajar mengajar yang teacher oriented menjadi student oriented. Dengan begitu, pembelajaran lebih berpusat pada siswa (Student Centred). Sehingga peran guru dalam hal ini bukan sebagai instruktur melainkan fasilitator. Pengembangan multimedia pembelajaran ini dibangun dengan bantuan perangkat lunak (software) yaitu Construct2 untuk menyatukan konten yang dibutuhkan dan disesuaikan dengan materi yang akan disampaikan dalam pembelajaran. Metode penelitian yang digunakan adalah metode penelitian RDThis study aims to improve students' understanding of interpretation by using adventure game multimedia learning. To achieve optimal learning outcomes, this study uses a discovery learning model that can change teaching and learning activities that teacher oriented become student oriented. That way, learning is more student-centered. So the teacher's role in this case is not as an instructor but as a facilitator. The development of learning multimedia was built with the help of software, namely Construct2 to bring together the needed content and adapted to the material to be delivered in learning. The research method used is the R & D (Research & Development) method. The sample from this study was class XI Department of Computer and Basic Networks (TKJ) of SMK Negeri 2 Bandung. The results of this study are: 1) The results of validation by media experts amounted to 87.33% in the category of very good and material experts at 90.62% and included in the category of very good. 2) The results of student responses to multimedia learning with adventure-based discovery learning models of this game obtain an average score percentage of 86% with the category very good. 3) Adventure game-based multimedia learning can improve understanding of student interpretation in Basic Network subjects. This is indicated by the resulting gain value which is 0.49 with the medium category
Mathematical Background and Its Applicability

This chapter will discuss the importance of the probability theory and its tools for modern cryptography. We will show how the elements and notions from the probability theory can be implemented in real-life applications and programs, and we will explain the most important steps for a professional cryptographer to follow in the implementation process of cryptographic algorithms.
Implementasi Algoritma Elias Omega Coding Untuk Kompresi File Teks Pada Aplikasi Media Pembelajaran Buku Sekolah Digital Untuk Pelajar

At this time learning can not only be obtained by educators manually but can also be obtained in digital services, namely a digital school book learning media application for students. Data has a very important role. almost all activities are carried out using smartphones and other storage. However, the large amount of data or file size that has been stored in memory, hard disk, or smartphone will increase the amount of usage capacity on the storage media. getting the contents of the text file on the digital book learning media application for students becomes smaller and makes it easier to send or store data space By using Elias Omega Coding Keywords : Kompresi File Teks, Alogoritma Elias Omega Coding
CREATION OF ORGANIZATIONAL AND PEDAGOGICAL CONDITIONS FOR IMPROVING THE PROCESS OF THE EFFECTIVENESS OF FORMING THE VITAL COMPETENCE OF SENIOR SCHOOL STUDENTS IN EXTRACURRICULAR ACTIVITIES

The article is devoted to the creation of organizational and pedagogical conditions for improving the process of the effectiveness of forming the vital competence of senior school students in extracurricular activities. Integration on a unified methodological and organizational basis, as specific resources of the school, and resources of various educational institutions, organizations and specialists, as well as information and communication networks. Introduction to the content of education of new integration courses of choice, aimed at forming a positive attitude towards seniority in professional careers, as well as their versatile personal development. Improvement of educational process on the basis of effective combination of means of personal development and formation of professional self-determination of senior pupils.
La incidencia de la modalidad remota en la cultura escolar. Una mirada a estudiantes de primera infancia en tiempos de pandemia

This research will focus on analyzing school culture, aiming to understand the operation of remote mode in early childhood, since due to the pandemic that COVID 19 brought with it, educational fields have had to adapt, implement and rethink education.
SEQUENCE-LEVEL FEATURES: HOW GRU AND LSTM CELLS CAPTURE N-GRAMS

Modern recurrent neural networks (RNN) such as Gated Recurrent Units (GRU) and Long Short-term Memory (LSTM) have demonstrated impressive results on tasks involving sequential data in practice. Despite continuous efforts on interpreting their behaviors, the exact mechanism underlying their successes in capturing sequence-level information have not been thoroughly understood. In this work, we present a study on understanding the essential features captured by GRU/LSTM cells by mathematically expanding and unrolling the hidden states. Based on the expanded and unrolled hidden states, we find there was a type of sequence-level representations brought in by the gating mechanism, which enables the cells to encode sequence-level features along with token-level features. Specifically, we show that the cells would consist of such sequence-level features similar to those of N-grams. Based on such a finding, we also found that replacing the hidden states of the standard cells with N-gram representations does not necessarily degrade performance on the sentiment analysis and language modeling tasks, indicating such features may play a significant role for GRU/LSTM cells.
Business Tax Monitoring Analysis with Goods Services and Tax, Tax and Amount Tracking System Using Block Chain System

There is no automatic process in identifying the misbehaving activities in the Tax payment as well as GST bill payment system. In the proposed framework is to devise a strategy that distinguishes gatherings of individuals who submit avoidance in the products and enterprises charge by controlling their deals as well as buys with the inspiration to lessen their duty obligation. Specifically, we perform bunching investigation on certain delicate parameters relating to every one of the sellers. At that point by breaking down the quantity of vendors over the various bunches, we distinguished the suspicious arrangement of sellers who are additionally examined by taking a gander at other delicate parameters. In the modification process. Values of the rupee are linked with the currency number which is implicitly linked with the Expiry date which is not notified to any of the users. So, vendors while receiving the money need to update in the shop server which is directly communicates to the taxing server, which is automatically updated in their account. We implement this Process securely using Block chain Technology.