Reviewerly/exHarmony huggingface dataset:
Productive Thinking and the Problem of Creativity of Personality

the aim of our research is to study different theories of developing persons’ creativity in the paradigm of Gestalt Psychology, which differentiates between creative, productive thinking and reproductive, based on memorization, repeti-tion and reproduction; to show the main concepts of Compensatory theory, by which people develop Science, Art and other areas of culture largely to compen-sate their shortcomings; to present another theory of creativity – a Cognitive one, by which a researcher who actively interprets the world, processes of gain-ing the information, the ability to predict effectively and, at the same time, to interact creatively with the surrounding world; to display the problem of creativity in Humanistic Psychology.methods of the research. The following theoretical methods of the research were used to solve the tasks formulated in the article: a categorical method, structural and functional methods, the methods of the analysis, systematization, modeling, generalization.the results of the research. The most important for the theory of creativity is the question of motivation, which A. Maslow described in terms of the hierar-chy of needs according to the principles of priority and dominance. At the heart of the creative activity of the individual there are the highest personal needs. They are the need for self­realization, personal growth and development. Satis-fying the needs that are fixed from the bottom of this hierarchy makes it possible to understand the needs at the top of the creative paradigm and according to the participation of actors in the creation of motivational domains. The higher a person is able to rise in the paradigm of this hierarchy, the more he/she is able to demonstrate individuality, human qualities, mental health and creativity.conclusions. It is significant, from the standpoint of the Psychology of Cre-ativity, A. Maslow’s (1982) hypothesis about the existence of deficient motives related to biological needs and meta­needs (highest values, motives for personal growth), such as truth, beauty, perfection, justice. Based on our empirical re-search (Nabochuk, 2021), we concluded that people who lived fully (individuals who were self­actualizing) had the following characteristics: the effective per-ception of the reality; the acceptance of oneself, other people and the surround-ing nature; a desire for self­realization; focusing on the problem, absorbing one’s business as an actualization of one’s vocation; authenticity – open, un-derstandable behavior in relations to themselves and to other people; the em-phasis on the simplicity and naturalness of their behavior; the independence, the autonomy in judgments; self­confidence, adequacy of self­esteem, the ability to actualize peak experiences; public interests; deep interpersonal relationships; initiative and flexibility in the process of decision making; democratic nature of the person’s own activity; the ability to distinguish between means and goals; philosophical sense of humor; criticality and a high degree of personal reflection; direct susceptibility to a new information.
CONDITIONS OF FORMATION OF INFORMATION YOUTH CULTURES

The article deals with the problem of students’ information culture forming, the ways of raising a level of information culture of Ukrainian youth.
PSYCHOLOGICAL AND PEDAGOGICAL ESSENCE OF SOCIAL COMMUNICATIVE ACTIVITY OF PERSONALITY

The article is discovered psychological and pedagogical content of concept “social — communicative activity ”. This work contains theoretical and experimental research of this phenomenon.
EDUCATIONAL AND CREATIVE ACTIVITY SENIOR STUDENTS AS A CONDITION FOR THE FORMATION OF THEIR MENTAL CULTURE

The article is devoted to the problem of forming of mental culture of senior pupils. The author proves to efficiency of the use of creative tasks for organization educational &amp; creative activity, that is assists in the rise of motivation of studies and development of reflection position.
Identifikasi Objek Menggunakan Proses Deteksi Tepi Metode Laplacian of Gaussian Dan Canny Terhadap Citra Sidik Jari

Identification is the identification or determination of an object based on evidence as a clue. The objective of the research was to identify biometric images using edge detection of LoG (Laplacian of Gaussian), Canny, and LoG+Canny with different shapes and dimensions. It is expected that the object can still be identified with different shapes and dimensions. The sample of data used was 20 fingerprint images. This fingerprint image was tested using the methods LoG, Canny and LoG+Canny. The process begins with the image reading, and then the image is converted to grayscale, edge detection and image segmentation. The final result is the identification of the image. The results show that the average accuracy is 89.9 per cent for the LoG method, while 81.8 per cent for the Canny method and 90.7 per cent for the LoG + Canny method. From 10 fingerprint image tests, 8 fingerprint images can be identified by both methods. While the LoG + Canny method is capable of identifying 9 fingerprint images. The LoG method can detect images of 2, 4, 5, 6, 7, 8, 9, 10; while the Canny method can detect images of 2, 3, 4, 6, 7, 8, 9, 10; and the LoG + Canny method can detect images of 1, 2, 3, 4, 6, 7, 8, 9, 10. The minimum and maximum pixel values for the LoG method are 11 pixels for the test image and 25327 pixels for the database image. While the minimum and maximum pixel values for the Canny method are 148 pixels for the test image and 42323 pixels for the database image. In the meantime, the minimum and maximum pixel values for the LoG + Canny method are 806 pixels for the test image and 57972 pixels for the database image. The LoG + Canny method can outperform other methods for the identification of fingerprint images from the results of the tests carried out. In addition to the higher accuracy value, the resulting error value is also much smaller. The object images in the LoG method that have not been identified are numbers 1 and 3 with an error of 27.27 percent and 58.33. While the Canny method that has not been identified is number 1 and 5 with an error of 98.31 per cent and 59.92 per cent. The LoG + Canny method that cannot be identified is number 5 with an error of 61.69 per cent. The mean error values for the three methods were 10.1%, 18.2% and 9.3% (LoG, Canny, LoG + Canny).
Personal Voice Assistant

Abstract: In today’s modern world, our daily life has been more linked with technology. Over time the advancement in technology is unmatched. The project that we have built is a personal voice assistant. It works on voice input and displays the output through voice or text. We have used python language for the voice assistant as it provides various libraries and packages to make our project. The assistant can perform some basic functions like giving weather updates, providing time and news, opening Google, YouTube, Gmail etc., setting reminder and performing arithmetic calculations. The main aim behind the voice assistant is to reduce the usage of input devices like keyboard, mouse, etc. This will not only lessen the hardware cost of the devices but also the space taken by them. Voice assistants are efficient and consume less time and therefore they are now inbuilt in many devices that people use nowadays. Keywords: Speech Recognition, Personal Assistant, Voice Input, A.I., Python
CBS-Budget (CBSB): A Complete and Bounded Suboptimal Search for Multi-Agent Path Finding

Multi-Agent Path Finding (MAPF) is the problem of finding a collection of collision-free paths for a team of multiple agents while minimizing some global cost, such as the sum of the time travelled by all agents, or the time travelled by the last agent. Conflict Based Search (CBS) is a leading complete and optimal MAPF solver which lazily explores the joint agent state space, using an admissible heuristic joint plan. Such an admissible heuristic joint plan is computed by combining individual shortest paths found without considering inter-agent conflicts, and which becomes gradually more informed as constraints are added to individual agents' path planning problems to avoid discovered conflicts. In this paper, we seek to speedup CBS by finding a more informed heuristic joint plan which is bounded from above. We first propose the budgeted Class-Ordered A* (bCOA*), a novel algorithm that finds the shortest path with minimal number of conflicts that is upper bounded in terms of length. Then, we propose a novel bounded-cost variant of CBS, called CBS-Budget (CBSB) by using a bCOA* search at the low-level search of the CBS and by using a modified focal search at the high-level search of the CBS. We prove that CBSB is complete and bounded-suboptimal. In our numerical experiments, CBSB finds a near optimal solution for hundreds of agents within a fraction of a second. CBSB shows state-of-the-art performance, comparable to Explicit Estimation CBS (EECBS), an enhanced recent version of CBS. On the other hand, CBSB is easier to implement than EECBS, since only two priority queues at the high-level search are needed as in Enhanced CBS (ECBS).
Perancangan Sista (Sistem Informasi Orang Tua Mahasiswa) Pada Universitas Katolik St.Thomas Dengan Metode RAD (Rapid Application Development)

Parents have a very important role in the education of their children, especially for parents who have children at the university level. Many think that a child who has entered the world of lectures is independent, but the role of parents is still important. In academic activities carried out by students, not all parents know the activities carried out by their children, even though parents need to know the development of their children at the University so that parents can direct and support their children's lectures. Therefore, so that parents know information about their children, it is necessary to create a SISTA (Parent Student Information System) at the Catholic University of Santo Thomas as an information medium for parents of students of the Catholic University of Santo Thomas so that parents can monitor and control students.
ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences

This work addresses the problem of discovering non-linear interpretable paths in the latent space of pre-trained GANs in a model-agnostic manner. In the proposed method, the discovery is driven by a set of pairs of natural language sentences with contrasting semantics, named semantic dipoles, that serve as the limits of the interpretation that we require by the trainable latent paths to encode. By using the pre-trained CLIP encoder, the sentences are projected into the vision-language space, where they serve as dipoles, and where RBF-based warping functions define a set of non-linear directional paths, one for each semantic dipole, allowing in this way traversals from one semantic pole to the other. By defining an objective that discovers paths in the latent space of GANs that generate changes along the desired paths in the vision-language embedding space, we provide an intuitive way of controlling the underlying generative factors and address some of the limitations of the state-of-the-art works, namely, that a) they are typically tailored to specific GAN architectures (i.e., StyleGAN), b) they disregard the relative position of the manipulated and the original image in the image embedding and the relative position of the image and the text embeddings, and c) they lead to abrupt image manipulations and quickly arrive at regions of low density and, thus, low image quality, providing limited control of the generative factors. We provide extensive qualitative and quantitative results that demonstrate our claims with two pre-trained GANs, and make the code and the pre-trained models publicly available at: https://github.com/chi0tzp/ContraCLIP
Klasifikasi Jenis Kelamin Wajah Bermasker Menggunakan Algoritma Supervised Learning

The human face is an example of the unique biometric data that each person has. The human face contains a lot of information, including face shape, skin color, eye shape, nose shape, mouth shape, and some additional attributes such as beard, mustache, hair, and eyebrows. This biometric information can be used to obtain further information regarding the human identity itself. In this study, sample data of human faces aged 20 to 30 years were used. The purpose of this study is to classify gender in human facial images using masks, while the algorithm used uses supervised learning. The research process carried out was collecting human face sample data, conducting training stages which included face resizing, storing data in arrays, feature extraction using faceNet, training data and gender models. Perform testing stages which include video data acquisition, video extraction into frames, video frames, face detection, facial image resixing, storing data in arrays, feature extraction using faceNet and prediction of gender determination. The benefits of this research can provide information in determining the gender of human faces with masks, apply the application of supervised learning algorithms to processing human face images and can be applied to face detection on highways, public areas and shopping centers. Based on testing using the K-NN method, the train accuracy value is above 87% and the test accuracy is above 96%. Testing using the SVM method obtained train accuracy above 99% and test accuracy above 98%. Tests using the random forest method obtained 100% train accuracy and test accuracy above 88%.
Penerapan Metode Cooperative Learning Pada Aplikasi Pembelajaran Siswa Berbasis Website

The school is a place where the teaching and learning process takes place where the school applies virtual learning, so that students easily feel bored when learning. There are many types of learning, and the problems that arise in the learning process are also diverse. In this study, problems in the learning process were still limited, and the delivery of material provided by the teacher made it difficult for students to understand, thereby reducing student interest in learning. Responding to this situation, the temporary results of the author succeeded in creating a website and doing graphic testing on the website that was created, which only 56 users could access. If there are 100 users accessing the website, the server will be down and the website cannot be accessed by anyone.
THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE CHATBOT FOR TEACHING COMPUTER-AIDED DESIGN (AUTOCAD) IN POLIMAS

AI-powered chatbots have attracted considerable attention and research in the education sector in regards to their effectiveness as learning tools. This research was conducted to determine whether AI-powered chatbots are effective e-learning tools for students learning complex software like Computer-Aided Design (AutoCAD). A survey was conducted among 49 students studying electrical engineering at POLIMAS using self-structured questionnaires designed on a six-point Likert Scale. The scale ranged from "Strongly Disagree" to "Strongly Agree" responses. Findings indicate that e-learning tools like chatbots are effective learning tools. All respondents were satisfied with the functionality and content of these tools. However, future research should factor in the ethical issues surrounding chatbots as e-learning tools. KEYWORDS: chatbots, artificial intelligence, e-learning, AutoCAD.
COBIT 5: How Capable PT GTI Governing Innovation, Human Resource, and Knowledge Aspect?

The performance of information technology governance by PT GTI has not been optimal and there has never been a measurement of information technology governance capability. Based on these problems, it is necessary to measure the capability of information technology governance and make an appropriate information technology management recommendation that can be used as a guide—the measurement of the COBIT 5.0 framework. The data collection method consisted of observation, questionnaires, and interviews. The data collection results will produce findings, impacts, and recommendations for PT GTI. Measuring the capability of information technology governance used includes Planning, Preparation, Implementation, and Measurement Reporting. The study focused on 3 IT processes and obtained the following capability level results: APO04 Manage Innovation got a score of 78.4% and stopped at level 3, APO07 Managed Human Resource with a score of 81.07% and stopped at level 1, and BAI08 Manage Knowledge got to score 61% and stop at level 2.
PENGUATAN PERPUSTAKAAN PADA GERAKAN LITERASI SEKOLAH DI SMPN 18 PADANG

This study aims to explain the strengthening of the library in the school literacy movement at SMP Negeri 18 Padang. The research method used is a qualitative descriptive method with a single instrumental case study approach because the researcher collects detailed information collected using various data collection procedures over a continuous period of time, which explores in-depth information related to literacy at SMPN 18 Padang. The results showed that there were 2 (two) roles of libraries that were strengthened in the school literacy movement at SMP Negeri 18 Padang, namely the role of libraries as information providers and the role of libraries as managers of student reading materials which must be supported by adequate information technology.
Investigating Temporal Convolutional Neural Networks For Satellite Image Time Series Classification

Publically available data used in this research
FLIP-STIK FOR FLIPPED CLASSROOM: STATISTICS LEARNING E-MODULE ASSISTED BY FLIPBOOK TO PROMOTE STUDENTS' NUMERACY

The existence of Covid-19 causes the need for learning innovations supporting online learning and numeracy to understand data. The integration of e-modules in flipbook on statistics material is expected to improve students' numeracy in online learning. This is a development study that aims to produce an e-module assisted by Flipbook which is valid and practical for learning statistics that has a potential effect on students' numeracy in a flipped classroom learning design.The e-module was developed through a formative evaluation stage involving 15 students of 8th grade junior high school. Data were collected and analyzed utilizing walkthroughs, questionnaires, interviews, and document review. Results indicate that the flipbook demonstrates the stages of flipped learning from out-of-class activities (independent learning experience at home, do assignments, and takes notes of less understandable) to in-class activities (deepening understanding of statistics through class discussions and working on problem-solving tasks). The flipbook developed meets the criteria of validity in terms of content and construct and ease of use. In addition, it has the potential effect to develop students' numeracy based on the document analysis of student responses regarding the process of formulating problems mathematically, employing formal mathematical structure, and interpreting solutions on a set of numeracy tasks.
Money Identifier: An Android-Based Application For Visually Impaired People Using Object Detection

A normal person can readily recognize and distinguish any banknote, but a visually impaired person finds the task much more difficult as they either have partial or complete vision loss. They face several obstacles when going about their daily lives. They have many issues in terms of monetary transactions as they cannot recognize the currencies due to the similarity of paper texture and size between different categories. To address this problem, the proponents implemented image processing techniques that will assist visually impaired people in detecting and identifying money using object detection. The objective of this application is to make them feel secure and confident in their financial decisions. It will be implemented as an Android-based money detection app. Also, the researchers utilized AGILE and TensorFlow's Convolutional Neural Network algorithm to build a model. They collected multiple images of Philippines notes captured in different light conditions and angles to achieve efficient results in the Money Identifier Application. Furthermore, the proponents have created a survey questionnaire for blind persons to evaluate the produced application. The Eyessential program can recognize Philippine money with a mean of 4.91, a 98 percent accuracy, and a run time of 3 to 4 seconds. The software is functional, dependable, helpful, efficient, maintainable, and portable based on the results. The developers suggest submitting the Eyessential Android app to Google Play to allow individuals to install the software from anywhere. Also, Google Play services work with Google Assistant, useful for blind people who want to utilize the app. The developers propose adding a flashlight option to make the program more user-friendly. To detect denominations precisely, the developers suggest employing substantial data sets
Philosophy in the Time of Media and Technological-information Madness

From the point of view of the philosophy of the media, the text problematises the possibility and practice of thinking (self-awareness) in the time of media domination and the rule of technological-information ‘madness’. Also, in the background of the presentation plan, the article touches on the critique of the so-called media-based capitalism; it confronts the concept of ‘madness’ that we encounter under the veil of activity of the rational (instrumental) mind and modern media on the one hand and the thinking subject, his theoretical and practical possibilities, on the other. All this is demonstrated on the example of the (mis)use of artificial intelligence in modern media, which most often acts on social networks through two phenomena: the ‘epistemic bubble’ and the ‘echo chamber’. Based on the performed analyses, it is shown that the philosophy of the media, as an interdisciplinary oriented, theoretical critique of the media and mediated reality, has the opportunity and obligation to position itself towards technical inventions such as artificial intelligence used in the media, thus contributing to self-awareness and practice, both of the own discipline and of the social community in which the philosophy of the media critically participates.
Influence Of The Matrix Structure Of Methodological Support On Teacher Job Satisfaction

Teacher job satisfaction is one of the current areas of research for scholars.Job satisfaction is as important for a young teacher as it is for a long-serving teacher.Job satisfaction can keep a teacher in the school for years to come.Teacher staff turnover, especially of younger teachers, is a concern for many educational leaders today.The components of teacher job satisfaction are satisfaction with the process and quality of educational services provided at school, satisfaction with the conditions for professional growth created by the school office.The aim of our study is to find out the impact on the level of teacher job satisfaction (satisfaction with the process and quality of educational services provided at school, satisfaction with conditions for professional growth created by school office) of changes introduced by school administration in methodological guidance organized within the general educational institution.Research methods are theoretical analysis of psychological and instructional literature on the issue of research, questioning, qualitative and quantitative analysis of survey results, statistical and mathematical research methods.As a result of introducing the elements of the matrix structure of methodological guidance for teachers in the school management model, the level of teacher job satisfaction has increased much.The results of the study can be used in the arrangement of methodological work in the school.