Reviewerly/exHarmony huggingface dataset:
ON IMPROVING THE SYSTEM OF TRAINING INFORMATION SECURITY SPECIALISTS AT THE PERM NATIONAL RESEARCH POLYTECHNIC UNIVERSITY (PNRPU). TO THE 60TH ANNIVERSARY OF THE DEPARTMENT «AUTOMATION AND TELEMECHANICS»

The article analyzes the problem of training information security specialists, current rele-vant aspects that shape the image of a future graduate. Providing historical background, fac-tual data illustrating the process of developing a system for training information security spe-cialists at the Department of Automation and Telemechanics of Perm National Research Poly-technic University (PNRPU). The main educational activities result of the department in the preparation of information security specialists are considered, the main guidelines and pros-pects for further development are established. A hierarchical structure model of the formation elements of graduate professional competence is given.
PEMEROLEHAN BAHASA PERTAMA UNTUK ANAK USIA 2 TAHUN (DALAM TATARAN FONOLOGI) DI DAERAH JAWA

Acquisition of language is the occurrence of a person's way to speak or acquire a child's first language. There are three components of linguistic abilities in children, namely: phonology, semantics, and syntax. From all these components, the children get together. It is at this stage that the sounds of the language begin to play in the child and start babbling while pronouncing the words in phonological acquisition. This study aims to describe how the acquisition of language in the phonological aspect. The type of research used is descriptive qualitative, carried out by knowing the description of the stage of children's language acquisition. The data collection method in this research is the listening method and the proficient method. To carry out this observation method using notes and using recordings. With notes, it can be in the form of questions, while the recording technique is in the form of answers from speakers. Furthermore, from that data as a research source for the acquisition of the first language of children in Java.Â
EXPLORING VULNERABILITIES OF BERT-BASED APIS

Natural language processing (NLP) tasks, ranging from text classification to text generation, have been revolutionised by pretrained BERT models. This allows corporations to easily build powerful APIs by encapsulating fine-tuned BERT models. These BERT-based APIs are often designed to not only provide reliable service but also protect intellectual properties or privacy-sensitive information of the training data. However, a series of privacy and robustness issues may still exist when a fine-tuned BERT model is deployed as a service. In this work, we first present an effective model extraction attack, where the adversary can practically steal a BERT-based API (the target/victim model). We then demonstrate: (1) how the extracted model can be further exploited to develop effective attribute inference attack to expose sensitive information of the training data of the victim model; (2) how the extracted model can lead to highly transferable adversarial attacks against the victim model. Extensive experiments on multiple benchmark datasets under various realistic settings validate the potential privacy and adversarial vulnerabilities of BERT-based APIs.
Single-Photon Image Classification

Quantum Computing based Machine Learning mainly focuses on computing hardware that is experimentally challenging to realize due to requiring gates that operate at very low temperature. We demonstrate the existence of a quantum computing toy model that illustrates key aspects of information processing while being experimentally accessible with room temperature optics. Pondering the question of the theoretical classification accuracy performance limit for MNIST (respectively Fashion-MNIST) classifiers, subject to the constraint that a decision has to be made after detection of the very first photon that passed through an image-filter, we show that a machine learning system that is permitted to use interference on the photon's state can substantially outperform any machine learning system that can not. Specifically, we prove that a classical MNIST (respectively Fashion-MNIST) classifier cannot achieve an accuracy of better than 21.28% (respectively 18.28% for Fashion-MNIST) if it must make a decision after seeing a single photon falling on one of the 28×28 image pixels of a detector array. We further demonstrate that a classifier that is permitted to employ interference by optically transforming the photon state prior to detection can achieve a classification accuracy of at least 41.27% for MNIST (respectively 36.14% for Fashion-MNIST). We show in detail how to train the corresponding state transformation with TensorFlow and also explain how this example can serve as a teaching tool for the measurement process in mechanics.
Pelatihan Shodou bagi Guru-Guru MGMP Bahasa Jepang di Sumatera Barat

Shodou is a traditional art form in writing kanji characters expressively and creatively. Japanese writing often used to practice Shodou is Kanji, which cannot separate from Japanese. In learning Japanese, we can used Shodou as a way to improve the ability of students, especially vocabulary mastery through Kanji writing. Therefore, Shodou needs to be mastered by Japanese language teachers. Shodou's training conducted by using lecture and training methods for Japanese MGMP teachers of senior high school in West Sumatra. The trainees were enthusiastic about participating in this Shodou training because they also gained knowledge about the benefits of Shodou in learning Japanese. The benefits of Shodou in learning Japanese include increasing patience, increasing concentration, increasing harmony, and improving memory.
K-Means Algorithm for Clustering The Location Of Accident-Prone On The Highway

In Indonesia, there is a highway which connects Jakarta and Bogor, some accidents have occurred at the highway every year. This paper aims to analyze the location of the accident to classify the high and low levels of accident vulnerability in the Jakarta Bogor Highway. First, the extracted data is then grouped based on some of the same characteristics in the dataset namely cause, location, minor injuries, serious injuries and death. Second, the grouping results are visualized in the form of highway maps that can help highway managers in identifying and evaluating several accident-prone points on Jakarta Bogor Highway. The method to be used in data processing in this study is the K-Means clustering algorithm which is expected to produce useful information for Jakarta Bogor Highway managers. The results of this study indicate that accidents that often occur are in cluster 3 with a total of 80 accidents and at least there are in cluster 2 with a total of 57 accidents, the location of accidents that often occurs in cluster 1 is in KM 24, while cluster 2 is in KM 41 and cluster 3 located at KM 10.6.
Curve-Based Shape Representation in Visual Perception

Author(s): Baker, Nicholas | Advisor(s): Kellman, Philip J | Abstract: Shape is the predominant cue for object recognition in visual perception. Though many studies have demonstrated the psychological importance of shape information, much remains unknown about how the visual system forms representations of shape. Shape representations are unlikely to be a literal recording of an object’s boundary. Rather, representations of shape are abstract in that they encode relations between parts, are economical, selectively encoding information present in the physical stimulus, and are invariant to 2D transformations and changes to the properties of local elements. In this dissertation, I examine evidence for the theory that representations of shapes are formed by partitioning a contour into regions of similar curvature and representing segments with a single curvature value. I first develop a computational model for how contours could be recoded abstractly as sets of constant curvature segments. I experimentally tested two free parameters in the model and then tested the model’s ability to predict the perceptual difference between pairs of shapes. In Chapter 2, I showed how the visual system could encode constant curvature representations of shape from activations of oriented luminance contrast detectors in early vision, bridging a theoretical gap between subsymbolic activations that are responsive to light energy and symbolic representations that are concerned with objects, contours, and surfaces. In Chapters 3 and 4, I applied the constant curvature theory to two interesting domains of shape perception. First, I tested how and why people encode shape representations from arrays of unconnected dots. Consistent with the constant curvature theory of shape, dot arrays that were perceived to have curvilinear contours were more easily represented as shapes than dot arrays perceived to have straight edges joined at corners. In Chapter 4, I studied shapes with both global form and high frequency local contour features. Evidence was found for a hypothesis that local and global contour features are encoded independently and in separate systems. In this theory, global features are extracted from large curvature detectors and described in detail while local contour features are extracted from small curvature detectors and encoded with a few descriptive statistics rather than as individual features.
Rancang bangun Sistem Informasi Kerjasama Universitas Kristen Satya Wacana

In order to improve institutional capabilities, UKSW needs to collaborate with various parties. Documents of agreement which is the references of implementation must be archived and managed properly. The document of agreement in UKSW, still manage manually, making it difficult to find complete data related to the cooperation agreement that has been made by UKSW. Information technology has an important role in increasing the efficiency and effectiveness of the document management and archiving. This study aims to develop a cooperation information system that capable to record the whole process of submitting agreement, until the process of archiving the signed document. Rapid Application Development (RAD) method used with the aim of accelerating development process, providing good quality of system, and reducing development and maintenance costs. The result of this research is a cooperation information system that has been implemented at UKSW Salatiga.
Fast two-qubit gate in a 12-ion crystal

Trapped atomic ions are among the most promising architectures for realizing a universal quantum computer. Universal sets of gate operations are available and proof-of-principle quantum computation ...
SAMPLE REVIEW ARTICLE: Models of conceptual change in science learning: establishing an exhaustive inventory based on support given by articles published in major journals

In this article, we propose an analysis of the state of, and trends in, the field of conceptual change research in science education through the lens of its models. Using a quantitative approach, we reviewed all conceptual change articles (n = 245) published in five major journals in the field of science education in search of the support that their authors give to conceptual change models (CC models). We looked for support in the form of explicit or implicit mentions, favourable and  unfavourable position statements and empirical confirmations and refutations. The results present a thorough description of all types of support, as well as their evolution from the early days of the field to today. We also propose a hierarchical list of the 86 CC models that we have recorded, appearing in decreasing order by the support they received from the literature. General comments are formulated in order to provide an interpretation of the field and its evolution.
(Turnitin) Developing a Sociocultural Approach in Learning Management System through Moodle in the Era of the Covid-19

This research focuses on the challeneges posed by the covid-19 virus on the Development of a Sociocultural Approach in the Learning Management System through Moodle on Non-formal Education students taking part in the Muhammadiyah Education Model at Muhammadiyah University of Enrekang. The research is a qualitative study that seeks to examine and reflect in depth some aspects of the Muhammadiyah education. The focus of the research is students in the Muhammadiyah Education by implementing a system of developing a sociocultural approach in the Learning Management System. The research subjects were all students of the University of Muhammadiyah Enrekang. The instrument used was data from LMS through Moodle, observation, tests and documentation. Data was processed by percentage analysis and presented in the form of descriptions and presentations on the data contained in the Moodle application. The application begins with asking questions, thinking together and answering; Application of the socio-cultural approach to the Muhammadiyah Education to students of Education which is applied in the process of education and training. The aims and objectives of education held at the University of International Journal of InnovatioMuhammadiyah Enrekang are formal and informal channels. The main targets of education are students. The results of the research found that there is a development of student creativity in learning the Learning Management System through Moodle.
THE EFFECT OF THE DENSITY OF GAMIFICATION STIMULI VIA DIGITAL LEARNING PLATFORMS IN THE DEVELOPMENT OF ACHIEVEMENT AND MOTIVATION FOR ACHIEVEMENT AMONG HIGH SCHOOL STUDENT.

Keywords: Gamification, Digital Gamification Stimuli, Digital Learning Platforms, Programming Skills, High School Students. This research investigated the effect of the density of gamification stimuli ( mono, dual, triple) stimuli through digital learning platforms on the development of academic achievement and motivation for achievement among high school students, The research followed the Quasi-experimental approach, using three experimental groups, where the research sample consisted of (60) students from the first high school students in AL Taif, with an average of (20) students in each group. The research tools were an achievement test consisting of (40) items, and motivation for achievement scale consisting of (20) items. The experimental processing tool were An educational program was designed based on the density of digital of gamification Stimuli Via digital learning platforms. The psychometric characteristics of the research tools were verified ( validity and Reliability )of applying on exploratory sample from outside the main sample. The results indicated that‏ there were statistically significant differences at the level of significance (α ≥0.05) between The mean of the scores on the achievement test between the three groups in the post application in favor of the third experimental group (points, Badges and levels), versus the second experimental group, as it was found that there are differences in favor of the degrees of the third and second experimental groups (points and Badges) versus the first experimental group (points only). There were also differences in the motivation for achievement in favor of the third versus the first and second. In light of the research results, the research recommended the use of multiple density types of digital gamification stimuli Via digital learning platforms in Teaching subjects in computer and information technology, and training teachers to build educational programs based on multiple stimuli for digital gamification.
Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective

Data sharing between different organizations is an essential process in today’s connected world. However, recently there were many concerns about data sharing as sharing sensitive information can jeopardize users’ privacy. To preserve privacy, organizations use anonymization techniques to conceal users’ sensitive data. However, these techniques are vulnerable to de-anonymization attacks which aim to identify individual records within a dataset. In this paper, a two-tier mathematical framework is proposed for analyzing and mitigating the de-anonymization attacks, by studying the interactions between sharing organizations, a data collector, and an attacker. In the first level, a game-theoretic model is proposed to enable sharing organizations to optimally select their anonymization levels for k-anonymization under two potential attacks: background-knowledge attack and homogeneity attack. In the second level, a contract-theoretic model is proposed to enable the data collector to optimally reward the organizations for their data. The formulated problems are studied under single-time sharing and repeated sharing scenarios. Different Nash equilibria for the proposed game and the optimal solution of the contract-based problem are analytically derived for both scenarios. Simulation results show that the organizations can optimally select their anonymization levels, while the data collector can benefit from incentivizing the organizations to share their data.
Using Layer-wise Relevance Propagation and Sensitivity Analysis Heatmaps to understand the Classification of an Image produced by a Neural Network

Neural networks are regarded as state of the art within many areas of machine learning, however due to their growing complexity and size, a question regarding their trustability and understandabili ...
LibGuides: Evaluating Sources with the DAPPR Test: Home

This guide helps you learn how to evaluate your sources by using a tool called the DAPPR Test.
INTEGRATION OF SOLAR TRACKER AND MAXIMUM POWERPOINT TRACKING FOR IMPROVING PHOTOVOLTAIC

This paper presents a method to integrate the solar tracker and the maximumpower point tracking (MPPT) to improve the photovoltaic (PV) system efficiency. Theintegrated system provides a closed-loop solar tracker without the sensors. Instead ofusing the solar sensor, the output power of the MPPT is employed as the feedback signalto the solar tracker. The solar tracker estimates the solar azimuth and elevation anglesusing an astronomical algorithm based on the latitude, longitude and the date-time of thelocal site. To improve the solar tracking accuracy, the fuzzy logic controller is employed toadjust the angle according to the power slope of maximum power with respect to the solartracker angle. From the simulation results, the proposed method increases the PV energyby 23.23% compared to the fixed PV panel. It improves the efficiency of the existingintegrated solar tracker by 0.25% based on the simulation models.Keywords: Photovoltaic system, Solar tracker, Maximum power point tracking, Fuzzylogic, Solar position
Elaborating Pedagogical Skills Of Specialists In Training In Higher Institutions

The review of theoretical work on the study of this problem shows that the activity can be considered amethodological principle in the study of psychological and pedagogical features of the interaction betweenteacher and student, teacher and student, as the action approach includes the most important components ofspiritual, social, economic, production activities. , they consist of interacting and interacting - reconstructive,cognitive, value-oriented, and communicative forms.
QuickBook : Web-based booking system for dinner parties and events

Goteborgs Nation is an organisation in Uppsala led by students at Uppsala University. The student nation provide social activities for the university's students, and they experience certain difficu ...
THE STUDENT’S AUTONOMY IN LEARNING ENGLISH

This study aims to know how the autonomy of SMAIT Ukhuwah Banjarmasin students in learning English. To know how the autonomy of students in learning English, the researcher used to analyze the characteristics of the autonomous learner. The characteristics of autonomous learners were; highly motivated students, goal-oriented in learning, willing to ask questions, well organized, hard-working, interested and enthusiastic, the students' activeness (improve different ways in learning), and having initiativeThis study uses a mix-methods research sequential explanatory design. Mix-method research incorporates qualitative and quantitative methods. The instruments of this research are questionnaires and interviews. The questionnaire is use to get the data in form of numbers and an interview is used to get data in the student opinion. The rationale in quantitative data for this research is to shows the results in numeric data for the research question. The qualitative method is use to explain and analyze the numeric data in a text and shows the answer of interview participants.The results showed that the students of SMAIT Ukhuwah Banjarmasin were had the great intention to being autonomous students. All of the characteristics showed by most of the students during the classroom or out of the classroom. The students were highly motivated in learning English. They had goal on their English learning, they also do not feel shame about asking questions to the teacher. They also become well-organized students in English learning. Their interested and enthusiastic bring them to all of the characteristics of an autonomous student. Their great enthusiasm in learning English made them become students who can raise other's characteristics. They know what they had to do in their learning. On the other hand, few of them still need to practice to develop their ability so that they could be autonomous students.
The Use of Poster Comment Strategy to Improve Students’ Learning Outcomes in Zakat Topic at Elementary School

Poster Comment strategy is a good way to precisely provide information to students, understand what they imagine, and exchange ideas between them. The problem in this research is “How to Use Poster comment Strategies in Improving Students’ learning outcomes in Zakat Topic in Class VI SDN 21 Ambawang River ?”. The research method used was descriptive research, with classroom action research with a collaborative nature with a teacher. The research included 23 students of VI grade at SDN 21 Sungai Ambawang, Kubu Raya. Data collection technique in this study was measurement technique. While the tool used was the observation sheet. The results showed: (1) The lesson planning in class using the Poster comment strategy was good, this could be seen from the ability of the teacher to prepare lesson plan in cycle I of 68.38%, this happened because in the early stages of the lesson plans the teacher had not fully prepared the and mastering the components described. In Cycle II, the increase was 91.17%. (2) The implementation of the learning activities the first cycle of 65%, in the second cycle, it was 95%. The increase in teacher activity impacted increasing student activity in learning, which in the first cycle was 63.28%, in the second cycle, it increased to 86.71%. (3) Students’ learning outcomes in Zakat Topic with the Poster comment strategy's implementation experienced an increase, wherein cycle I, the average value of students’ learning outcomes was 66.73, then in cycle increased to 77.71. Based on these results, it can be concluded that the use of demonstration methods in the learning process can improve student activity and learning outcomes.