Reviewerly/exHarmony huggingface dataset:
Benchmarking Neural Networks Activation Functions for Cancer Detection

The choice of the most suitable activation functions for artificial neural networks significantly affects training time and task performance. Breast cancer detection is currently based on the use of neural networks and their selection is an element that affects performance. In the present work, reference information on activation functions in neural networks was analyzed. Exploratory research, comprehensive reading, stepwise approach, and deduction were applied as a method. It resulted in phases of comparative evaluation inactivation functions, a quantitative and qualitative comparison of activation functions, and a prototype of neural network algorithm with activation function to detect cancer; It was concluded that the final results put as the best option to use ReLU for early detection of cancer.
Pembuatan Film Animasi Peluang Usaha Online Menggunakan Teknik Rigging Inverse Kinematics

Online business is all types of business activities carried out via the internet. This online business activity can include buying and selling activities online, as well as providing services online. Based on a survey conducted by the author with 52 respondents from the general public who live in the city of Pekanbaru, with an age range of 17 to 45 years. It was found that 34 out of 52 respondents did not know what an online business was. The animation of the online business opportunity was created using inverse kinematics rigging techniques. From this research, it was found that the effectiveness score of animated films was 89% and it was included in the very effective category for introducing online business opportunities. And for the use of inverse kinematics rigging techniques, it can be applied to create a motion without any difference in the resulting motion when compared to animation with normal rigging. Then, inverse kinematics rigging can speed up the render time by 13.8% compared to normal rigging with the amount of memory used 1.1% greater than normal rigging
Algorithmic Methods of Hidden Communication Through Buy Orders and Sales on International Stock Exchanges

This paper presents the results of the author’s research on the design of hidden communication algorithms employed in the context of global exchange services. The solutions proposed enable communication between trading participants without use of such traditional communication routes as email, telephone, instant messaging, discussion forums, etc. The solutions described are based on modification of entries in the exchange tables of orders and transactions. Through modification of the entries associated with share buy and sell orders, a secret channel can be constructed through which hidden messages can be sent. Such messages could, for example, be used to manipulate stock prices by an organized group of people. The proposed solutions can classified as steganographic methods where the message carrier is a stock transaction or stock order table, in which a message is embedded by means of algorithmic modification of buy and sell records. Also presented are specific proposals for static, dynamic, and mixed static-dynamic solutions based on the results of the author’s research. In the static methods group, an imperceptible communication channel is formed through a series of asynchronous modifications that create a complete, readable message that is present for a relatively long time. In dynamic methods, the embedded message is synchronized in time and creates a sequence of events that create statements. The third group of methods presented, mixed methods, use static and dynamic techniques to construct hidden messages. In particular, the method of extreme orders (MEO), mono-table method (MTM), multi-table method (MUTM), method of price-indexed vectors (MPIV), method of quantity-indexed vectors (MQIV), clustered order method (COM), distributed order method (DOM), position-encoded method (PEM), method with quantity coding (MQC), method with error correction (MEC), method limited to buy orders (MLBO), method limited to sell orders (MLSO), and self-synchronizing method (SSM) are presented. The solutions presented in this work can be applied practically in any publicly available stock trading system in which order tables are available. The algorithms presented in the paper were implemented and verified on a real trading service, and the research software used was implemented based on the API provided by the brokerage office.
AR&amp;AI in the Didactics of the Representation Disciplines

The class of Digital Representation Techniques is an optional class for architecture and engineering students at the Politecnico di Torino.For the second year, the program of the class, focused on the theoretical and applicative panorama of technologies for digital drawing, integrates an introduction to the most recent developments in augmented reality (AR) and artificial intelligence (AI), two technological fields that are deeply influencing the interpretation of physical assets through digital models.The class requires students to produce different deliverables, including a research essay, graphic representation documents (plates or brochures), a video proving animation and editing skills, and a prototype AR application.The proposed contribution presents methods, objectives, and some of the results of the class, highlighting the interaction between the different digital representation techniques and deepening the critical aspects related to the introduction of new AR and AI technologies.
Performance Improvement And User Satisfaction Analysis On Android-Based Educational Mobile Game

Tourism is a sector currently in the spotlight by many parties, including the government. This is because tourism attracts tourists. Thus tourism can drive the economy and empower the community. However, the lack of promotion from the government and the community makes tourism in Province less well known. Therefore, in 2016 the educational game Ayo Wisata ke Riau was developed, aiming to provide education about tourism in Province. However, the developed game has several problems, such as content that is not up to date and inappropriate, the size of the game is too large, and the display is not attractive. Therefore, a re-engineering process with a User Experience (UX) approach is needed to overcome these problems. After the re-engineering process, Usability testing and User Experience Questionnaires were carried out to test user satisfaction and experience using the application. Testing is done by doing pre-test and post-test. The pre-test is a test by playing games that have been developed in 2016, and a post-test is a test by playing games after the re-engineering process is carried out. Based on the results of the tests carried out, the level of user satisfaction increased by 49.7%, and the results of the evaluation of UX measurements showed positive evaluation results, which meant that users were satisfied in using the application.
TAMAN PINTAR PELAIHARI

Pelaihari Smart Park is a park that designed to accommodate tourism and learning activities at the same time, smart parks have been widely applied in big cities in Indonesia, therefore many people decide to travel to smart parks, besides being fun, smart parks also provide useful knowledge , Pelaihari is a city that has many tourist attractions ranging from mountains to beaches, but the tourist attractions that are owned are just fun places, there are no tourist attractions that can develop people's interest in learning, so a smart park is designed in the city of Pelaihari, with a recreational and creative approach. Educative people will be presented with a variety of fun tourist objects that can provide experience and knowledge simultaneously, with this method it is hoped that people's interest in learning can increase and change perspectives if learning is not boring.
P-007. Are there differences in the decidualizing endometrial secretome in women with recurrent pre-eclampsia?

The field of information security suffers from the lack of labelled entities. This study proposes a zero-shot hybrid approach, combining a clustering algorithm with a method for representing category labels, to classify fine-grained entity typing based on unified cybersecurity ontology (UCO) to address this issue. However, certain category labels in UCO do not have distinct domain features, while certain abbreviations cannot be obtained directly from word embedding using Word2vec. Thus, we propose a new method, referred to as mixed entities and hierarchy of UCO (MEHC), to represent the category labels. Moreover, to further improve the performance of fine-grained entity typing we propose the triClustering algorithm to re-cluster coarse-grained classification results or determine corresponding types for new entities, based on the theorem that the sum of two sides of a triangle is greater than the third. The experimental results prove that our triClustering algorithm can effectively shorten the computation time and that the proposed hybrid method is superior to other baselines for information security applications.
REVOLUÇÃO 4.0

With the growth of connectivity and competitiveness between companies and brands, attracting the attention of consumers has become the biggest marketing asset today. Its correct use and application efficiently, becomes a strategic tool, changing the form of relationship between people and brands. Therefore, this article aims to analyze the importance of the new tools of digital marketing 4.0 for attracting and retaining new customers. For this, information was collected through bibliographic sources between books; scientific articles and digital magazines; and sites with noticed recognition, seeking theoretical foundation on the theme of traditional marketing and digital marketing, and their new tools. At the end of this study, it can be said that the alignment between digital marketing strategies are essential to obtain positive results and achieve the company's exponential growth.
MODEL FORMATION OF FUNCTIONAL AND MATHEMATICAL LITERACY IN THE PROCESS OF TEACHING MATHEMATICS

One of the strategic tasks of education at the present time is not only the introduction of the subject to cultural and scientific values, the formation of knowledge and skills, but also the need to master intersubject concepts and universal educational actions as a necessary condition for the allocation of metasubject learning outcomes. In the process of teaching mathematics, students must master the mathematical language, terms, facts, universal solutions that will allow them to find, understand, transform, adapt various, including mathematical information in accordance with professional and life tasks. These skills, together with the system of mathematical knowledge obtained in the course of training, constitute mathematical literacy. There are various options for implementing the formation of functional and mathematical literacy, in this regard, it seems relevant to search for approaches, methods and teaching tools that contribute to achieving this goal. The analysis of scientific literature has shown that the formation of mathematical literacy is the subject of research by scientists, but it most often affects the secondary level of school education. The purpose of this study is to create a structural and logical model as a basis for developing a methodology for teaching mathematics that contributes to the formation of mathematical literacy of students at all levels of education (preschool, primary school age, vocational and higher education). In the article, in the context of the accepted definitions of the concepts of “functional literacy” and “functionalmathematical literacy”, a structural and logical model of the formation of mathematical literacy of students at the propaedeutic, basic, threshold and advanced stages is created and described. The components of mathematical literacy are identified and described: cognitive, activity, predictive and reflexive. The formation of each component is determined by the levels of formation of mathematical literacy: critical, reproductive-algorithmic, constructive-technological, productive. The article is intended for teachers of higher education, teachers of secondary vocational education institutions, teachers and school teachers who are interested in finding effective methods and means of forming mathematical literacy among students when studying mathematics at all levels of education.
Ensemble Learning based Age Invariant Fea-ture Recognition Using Soft Computing

Face recognition system is a state-of-the-art computer vision application within the artificial intelligence arena. Face recognition is the automated recognition of humans for their names/unique ID. The age invariant face recognition is a challenge task in the field of face recog-nition. In this work, we have introduced a stacked support vector machine where kernel activation of prototype examples is combined in nonlinear ways. The proposed work integrates soft compu-ting-based support vector machine (SVM) with deep SVM. The proposed model uses the implied relation between the variables described above in order to optimize their overall performance. Specifically, our method uses three different stages of complex convolution neural networks that detect and analyze the location of faces position and landmarks. This work has introduced cross-age celebrity dataset (CACD) for both single as well as cross-database enabling the transition of age. The proposed work has been implemented in the MATLAB simulation tool considering CACD dataset. Experimental results indicate that our techniques significantly outperform other strategies across a range of challenging metrics.
The Magnetics Information Consortium (MagIC) Data Repository: Interoperability withGeoCodes, EPOS, and Other Information Systems

MagIC (earthref.org/MagIC (https://www2.earthref.org/MagIC)) is an organization dedicated to improving research capacity in the Earth and Ocean sciences by maintaining an open community digital data archive for rock and paleomagnetic data with portals that allow scientists and others to access to archive, search, visualize, download, and combine versioned datasets. A recent focus of MagIC has been to make our data more accessible, discoverable, and interoperable to further this goal. In collaboration with the GeoCodes/P418 group, we have continued to add more schema.org metadata fields to our data sets which allows for more detailed and deep automated searches. We are involved with the Earth Science Information Partners (ESIP) schema.org cluster which is working on extending the schema.org schema to the sciences. MagIC has been focusing on geo- science issues such as standards for describing deep time. We are also collaborating with the European Plate Observing System (EPOS)’s Thematic Core Service Multi-scale laboratories (TCS MSL). MagIC is sending its contributions’ metadata to TCS MSL via DataCite records for representation in the EPOS system. This collaboration should allow European scientists to use MagIC as an official repository for European rock and paleomagnetic data and help prevent the fragmenting of the global paleomagnetic and rock data into many separate data repositories. By having our data well described by an EarthCube supported standard (schema.org/JSON-LD), we will be able to more easily share data with other EarthCube projects in the future.
A CONTRIBUIÇÃO DA TEORIA AMBIENTALISTA DE FLORENCE NIGHTINGALE COMO UMA DAS PRIMEIRAS ALTERNATIVAS PARA O COMBATE, PREVENÇÃO E CONTROLE DA PANDEMIA CAUSADA PELO COVID-19

It is believed that it is possible to stimulate the academy/community relationship in this complex reality, producing information, exchanging knowledge and encouraging the adoption of measures that can combat the advance of the pandemic, as well as bringing an increase in professional qualifi ation.The objective of the university extension project was to inform the population and health professionals through scientific data, using accessible language in various outreach strategies.This is a descriptive experience report of the extension activities developed in 2020 by volunteers from the project entitled "Care and Prevention: educational actions in the fight against COVID19", linked to the Faculty of Nursing (FAEN) of the Federal University of Mato Grosso (UFMT).The planning and execution of the extension actions were mediated by virtual resources (messaging applications, social networks, internet network) and electronic equipment (mobile phone and computer), maintaining the recommendations of social distancing.The extension project is advertised as a page of the social application Instagram, being named "@infocovid_enfufmt" and, so far, it has 304 followers, has already made 161 publications, stories and lives with different contents related to COVID-19.It is considered that the project has promoted the social responsibility of academics with the community through health education, reinventing means of reach and communication, with the purpose of promoting well-being and health.
Setting Up the Environment and Testing

VS Code includes multiple handy tools for building and debugging any application. Especially when the Python extension is enabled, VS Code becomes a very convenient, dream-like working environment for Python developers. This chapter discusses Python environments and how to make use of them, how to configure Python project on VS Code to get the most out of it, and how to work with the Jupyter ecosystem, which can be a powerful tool in the hands of a moderately IT-literate user. This chapter also covers how to work with the Jupyter Notebook extension.
New Model for Handling Inconsistency Issues in DL-Lite Knowledge Bases

The lightweight description logic (DL-lite) represents one of the most important logic specially dedicated to applications that handle large volumes of data. Managing inconsistency issues, in order to effectively query inconsistent DL-Lite knowledge bases, is a topical issue. Since assertions (ABoxes) come from a variety of sources with varying degrees of reliability, there is confusion in hierarchical knowledge bases. As a consequence, the inclusion of new axioms is a main factor that causes inconsistency in this type of knowledge base. Often, it is too expensive to manually verify and validate all assertions. In this article, we study the problem of inconsistencies in the DL-Lite family and we propose a new algorithm to resolve the inconsistencies in prioritized knowledge bases. We carried out an experimental study to analyze and compare the results obtained by our proposed algorithm, in the framework of this work, and the main algorithms studied in the literature. The results obtained show that our algorithm is more productive than the others, compared to standard performance measures, namely precision, recall and F-measure.
SYNTHESIS FINANCIAL INFORMATION- BETWEEN UTILITY AND USERS IN THE CONTEXT OF THE COVID-19 PANDEMIC

This material aims to bring to the fore, through an empirical approach, corroborating the literature with the authors' view, the main features of accounting information in financial reporting in the normal context and in the context of the COVID-19 pandemic, on the one hand, but also the directions of use of this information both against the background of normal conditions in parallel with the situation created by the COVID-19 pandemic on the other hand. This study combines significant elements of economic epistemiology, such as: brainstorming, analysis and synthesis, dynamic or comparative study, in order to emphasize the sensitivity of financial reporting and its information users in an exceptional, distortive context.
Implementation of E-Learning Method in Earthquake Learning

The research objective was to explore the application of e learning-based learning in earthquake learning, to determine the effect of e-learning learning on the quality of student learning and to see the effectiveness of learning using the e-learning method.This type of research is quantitative with this type of research survey which is expected to explain the reality of using E-Learning in learning.This study aims to measure the application of e-learning to school students.This research uses a qualitative approach to the type of case study.The setting of this research is Senior High School of Banda Aceh.The research subjects were teachers and students.Collecting data through observation, in-depth interviews, and documentation study.The results of this study indicate that: 1. E-learning has a positive and significant effect on the quality of student learning.3. The influence is in the strong category, the more intensively elearning is used, the quality of student learning will also increase, 3. The use of e-learning web will improve learning outcomes indirectly, 3. The purpose of using e-learning in the learning system is to expand access to education for the wider community, as well as in order to improve the quality of learning.
The Problem of “Practising Literature” Education as a Literary Educational Paradox -Dealing with the paradox based on the literary “pleasure” and the literary “rite of passage”-

This study aimed to recognize the problem of “practing literature” education as a literary education paradox and discuss ways to properly deal with it. “practising literature” is regarded as the content that drives the practice of literature in the learner''s life and is set as a major agenda for literature education. However, the specific viewpoint or method for realizing “practising literature” education is still ambiguous. Therefore, this study attempted to secure a concrete perspective that enables the such education to function fully by confirming its orientation and its status in literary education. From this perspective, this study attempted to establish a core mechanism for realizing “practising literature” education. The perspective of “practising literature” education that this study intends to focus on os that it is a literary education paradox, and this education is currently positioned as an antithesis of literary education. To readdress this paradox, the study developed a method that recognizes “practising literature” as a “transit point” of literature education, and penetrates literature and leap through literature simultaneously by using the “pleasure” of literature and the “rite of passage” of literature as the core mechanisms.
Blockchain and Hadoop Integrated Platform

The explosion of Bitcoin has drawn the world’s attention towards the field of blockchain. This has driven studies and applications towards finding more new possibilities and usage of blockchain. However, currently there is no blockchain framework that can perform data analytics for itself. On the other hand, big data too is an emerging technology that analyze huge amount of data and is gaining attention to organizations since the world is producing more data each day. Data is the new oil and with proper processing, it can provide huge benefits to the companies to better insights and planning. This study will highlight the integration among Hadoop and blockchain, and emphasizes on how and why blockchain can complement with Hadoop’s Eco-systems and their pros and cons.
Impact of virtual reality head mounted display on the attentional visual field

Fast track article for IS&amp;T International Symposium on Electronic Imaging 2021: Human Vision and Electronic Imaging 2021 proceedings.