Reviewerly/exHarmony huggingface dataset:
Low-Power Implementation Techniques for Convolutional Neural Networks using Precise and Active Skipping Methods

Reducing power consumption is crucial for edge devices using convolutional neural network (CNN). The zero-skipping approach for CNNs is a processing technique widely known for its relatively low power consumption and high speed. This approach stops multiplication and accumulation (MAC) when the multiplication results of the input data and weight are zero. However, this technique requires large logic circuits with around 5% overhead, and the average rate of MAC stopping is approximately 30%. In this paper, we propose a precise zero-skipping method that uses input data and simple logic circuits to stop multipliers and accumulators precisely. We also propose an active data-skipping method to further reduce power consumption by slightly degrading recognition accuracy. In this method, each multiplier and accumulator are stopped by using small values (e.g., 1, 2) as input. We implemented single shot multi-box detector 500 (SSD500) network model on a Xilinx ZU9 and applied our proposed techniques. We verified that operations were stopped at a rate of 49.1%, recognition accuracy was degraded by 0.29%, power consumption was reduced from 9.2 to 4.4 W (-52.3%), and circuit overhead was reduced from 5.1 to 2.7% (-45.9%). The proposed techniques were determined to be effective for lowering the power consumption of CNN-based edge devices such as FPGA.
ON POSSIBILITIES OF MULTILINGUAL BERT MODEL FOR DETERMINING SEMANTIC SIMILARITIES OF THE NEWS CONTENT

The results of implementation of modern achievements in the field of Natural Language Processing field based on the methods and models of Deep Learning technologies into the HIPSTO’s system management of content (HIPSTO Publishing, AI Technology, Digital Media, Mobile Apps) are discussed and analyzed. In particular, the possibilities and ways of applying the multilingual BERT model to handle the problem of semantic likeness of news content have been investigated. An efficient method is proposed to define the semantic similarities of the multilingual news content in HIPSTO aggregated news feeds on the basis of the sentence embeddings using the first task of the pretrained multilingual BERT model within the HIPSTO system of content management. The results of the research highlight the effectiveness and promise of this technology within the HIPSTO project. Below the data of its first implementation in HIPSTO are substantiated scientifically and experimentally.
Disentangling style on dynamic aligned poses for individual identification

Despite the rapid increase of research on individual identification in recent years, most of them focused on extracting the invariant visual cues of individuals. However, few efforts have been devoted to exploring the inherent feature caused by physiological differences. The main challenge in this task arises from two aspects: (i) the individual inherent feature (style) of each pose may be unique; (ii) the individual inherent feature and the shared feature from pose are always coupled together. In this paper, we propose a novel model, namely Disentangling Style Network (DS-Net), which contains an alignment module to match similar poses from different individuals, and a disentangling module to encode the individual inherent feature and shared feature separately. Theoretically, the sub-modules in our model are mutually beneficial for each other, the alignment module can improve the quality of training poses pairs in the disentangling module, meanwhile, the shared feature encoded by the disentangling module can also improve the accuracy of the alignment module. The coupled network contains a set of functional components, can be efficiently trained by gradient-based optimizers in a practical iterative way. We evaluate the proposed DS-Net on several public databases, matching or outperforming the state-of-the-art approaches. The code is publicly available1 .
Correction to: Ground truth to fake geographies: machine vision and learning in visual practices

In the original publication of the article, the following paragraphs have been indented wrongly in the published article.
ChImp: Visualizing ontology changes and their impact in Protégé

Today, ontologies are an established part of many applications and research.However, ontologies evolve over time, and ontology editors---engineers and domain experts---need to be aware of the consequences of changes while editing.Ontology editors might not be fully aware of how they are influencing consistency, quality, or the structure of the ontology, possibly causing applications to fail.To support editors and increase their sensitivity towards the consequences of their actions, we conducted a user survey to elicit preferences for representing changes, e.g., with ontology metrics such as number of classes and properties. Based on the survey, we developed ChImp---a Protege plug-in to display information about the impact of changes in real-time.During editing of the ontology, ChImp lists the applied changes, checks and displays the consistency status, and reports measures describing the effect on the structure of the ontology.Akin to software IDEs and integrated testing approaches, we hope that displaying such metrics will help to improve ontology evolution processes in the long run.
THE CONCEPT OF INFORMATION SECURITY IN THE CONTEXT OF THE SCIENCE OF PUBLIC ADMINISTRATION

The article summarizes the views of the Ukrainian scientists on the essence, content and functions of information security, gives the author's vision of this societal phenomenon.The aim of article is to reveal the ontological essence and components of the societal phenomenon "information policy" in the context of the science of public administration.The author used the methods of logical comparison, systematization and generalization, which made it possible to achieve the goal of the study.It is noted that the information space of the state as an integral part of the global information space of mankind is an important system-forming factor of the modern statehood and includes both broad opportunities for access to information, operation and use for their own purposes, and unprecedented opportunities and abuse, in principle new forms of crime, which raises the issue of information security of the state.It is concluded that information security in a globalized information society plays a key role in the further civilizational development of mankind, as modern information security means not only and not so much technical and technological measures to protect the information systems and networks, identify and eliminate various information threats, how much protection of the national information sovereignty of the state, information interests of the society and man, maintenance of the socio-political, spiritual-cultural, moral-ethical and other interests of the citizens functioning in the information space, stability of the state system and political system of the country.
THE VALIDITY MULTIMEDIA INTERACTIVE BASES ANDROID ON IONIC BOND MATERIAL

This research is aims to describe the validity of interactive multimedia based on Android in the ion bonding sub material. This research uses Thiagarajan's 4-D development research consisting of Define; Design; Development and Disseminate. However, this research is limited to the Development stage of Thiagarajan in Ibrahim (2014). Multimedia validity is reviewed from the aspect of content validity and construct validity. This multimedia was validated by 2 Unesa chemistry lecturers and 1 chemistry teacher with the research instrument used in the form of a multimedia validation sheet then the results of the validation resulted in a validation score. Based on data analysis, it can be concluded that android-based interactive multimedia on the ion bond sub-material is valid for use with percentage content validation and construct validity respectively 91.85% and 89.61% with highly valid criteria.
The Efficiency Toolkit: A Subversive Manual

As libraries increasingly turn to automated systems to make materials more available, they inadvertently create less accessible collections. The Efficiency Toolkit is an artists’ book exploring the implications of automation and efficiency innovations in human work. Using this bookwork as a point of provocation, the difference between the accessibility and availability of library materials is highlighted and the desire for innovation and efficiency in the workplace is questioned.
The effectiveness of Augmented Reality based Learning on Vocational Competencies of Vocational School Students

This research is based on limited laboratories in vocational high schools in the city of Pekanbaru. Students are could not to use one computer device (PC) for each. The actual condition is one PC is used by 2-3 students. This fact has an impact on the achievement of vocational competence. The proposed solution is to present a virtual laboratory concept based on Augmented Reality (AR). The purpose of this study was to measure the effectiveness of AR based learning media on the achievement of vocational competencies of. The type of research applied is equals-experimental with two groups pretest-posttest design method. The population and sample in this study were the Multimedia Study Program of SMK Muhammadiyah 2 Pekanbaru City. The results obtained were learning to use AR media is effective for increasing the learning outcome in the basic computer network material. The use of augmented reality-based learning media can be applied to vocational learning in SMK with material adjustments designed according to the needs of the applicable curriculum.
Brain MRI Classification Using Gradient Boosting

Early detection of Isocitrate Dehydrogenase (IDH) mutations can be used in decision making procedures. We demonstrated the role of important features identification using extreme gradient boosting ensemble from MR imagery and their effectiveness in classification of IDH mutations. In this work, the MR images are first pre-processed using a number of image processing techniques. Then features are extracted from the pre-processed images that are further classified using boosting ensemble. After, removing very high negative and postive as well as zero valued attributes from the extracted feature spaces, an increase in the performance accuracy is observed. The proposed technique is simple yet efficient in classifying IDH mutations from MR imagery. This will help practitioners to noninvasively diagnose and predict IDH wildtype and IDH mutants for grades II, III, and IV.
KALIMAT INTEROGATIF DALAM BUKU TEKS BAHASA INDONESIA KELAS XI EDISI REVISI 2017

This study aims to describe the question words, types, and interrogative sentence patterns in Indonesian textbooks Class XI Revised Edition 2017. This type of research is qualitative. The analysis method is a method of sharing with marking reading techniques and analysis of sentence constituent function functions. This method is presented informally. The results of this study are (1) question words include: apa(kah), siapa(kah), mengapa, kenapa, bagaimana(kah), mana(kah), di mana, dari mana, kapan(kah), berapa, and bukan ; (2) types of asking for a yes-no answer, asking for information about one of the elements of the sentence, asking for a reason, asking for an opinion, and verifying; (3) the pattern is (a) (Kt.Tny)+S+P+(O)+(Ket), (b) +Adv+-kah+S+P+O+(Ket), (c) +P+-kah+S+Ket, dan (d) +S+P+(O)+(Pel)+(Ket), Kt.Tny.
Pembelajaran Berbasis Teknologi Informasi: Ikhtiar Guru dalam Meningkatkan Minat Belajar Peserta Didik

This study discusses the implementation of information technology-based learning media to increase interest in learning on the subjects of PAI. Media serves as a tool that also plays an important role. In today's technological advancement enables students to learn from anywhere and anytime and anywhere by utilizing technology results. Therefore, teacher roles and tasks shift from role as a learning resource to role as manager of the learning resource. Through the use of various sources, it is expected that the quality of learning will increase. Information Technology as a medium of learning is a media set of tools and technology resources used to communicate, create, disseminate, store and process information or technology that can reduce space and time constraints to retrieve, move, analyze, present, store and transmit data information into information. Where The development of information and communication technology has an influence on the world of education, especially in the learning process. By using information technology-based media is expected to increase or develop student interest in the subject of PAI.
A Preliminary Study on the Construction of “Cloud Internship” Mode for Professional Degree Graduates during Public Emergencies--Take the Covid-19 Epidemic

Focusing on the current situation of frequent disasters and economic recession in the world, taking the most typical COVID-19 epidemic as an example, this paper integrates and draws lessons from such advantages as “cloud diplomacy”, “cloud manufacturing”, “cloud shopping” and so on, thus creating the concept of “home office + home class = home internship”, namely “cloud internship”. The concept structure, framework construction, incentive mechanism and quality control of “cloud internship” are comprehensively analyzed, and the deficiencies are also clarified. Finally, the background and practical significance of “cloud internship” are expounded.
CONTENT ANALYSIS OF THE ADAPTATION PHENOMENON

Introduction. Modern rapidly changing society requires significant adaptive abilities of a person because the success of both professional and cognitive activities depends on the degree of adaptation. The paper aims to conduct the content analysis of the phenomenon of adaptation. Materials and methods. The philosophical and psychological-pedagogical literature was analyzed, and subsequent generalization was made to accomplish this objective. Research result. The study indicates that adaptation is a process of changing to fit the environment, which can occur at various levels: biological, physiological, psychological, social, social-psychological, and social-pedagogical. Adaptation is an individual process based on the examination of the needs and motives of a person. Furthermore, there is a difference between adaptation as a process and adaptability as a result. There are also several types of adaptation: alloplastic and autoplastic, as well as external and internal. Conclusion. The findings have indicated the main features, approaches, and varieties of the adaptation process; and the characteristic of the phenomenon of adaptation within various forms and categories. Keywords: adaptation, content analysis, social adaptation, behaviorism, humanistic psychology, psychoanalysis, Russian psychology.
MEMPERKIRAKAN TINGKAT PENGHUNI HOTEL MENGGUNAKAN ANALISIS ARIMA DENGAN APLIKASI MINITAB

This article discusses how the Hotel Room Occupancy Rate Prediction in 2018 in July-December where the data used is taken from 2009 to 2018 in June. A hotel is a business that uses buildings or a part of it specifically provided, where everyone can stay and eat and get services and other facilities. The data collection method used is the literature method, which is information obtained from reading books and reference material relating to the activity of the final project, and the method of documentation, namely the writer taking the data that has been available at the agency, and the interview method, namely conducting question and answer to parties related to. While in data analysis, the writer uses the time series analysis method and is assisted with Minitab software in its completion. The model chosen was the ARIMA model (2,1,1) and obtained forecasting results for the next 6 months that the level of hotel room occupants in Salatiga City will continue to experience high and low levels of hotel room occupants in Salatiga at certain times. Based on the results of forecasting with the ARIMA method obtained it can be concluded that the data is not stationary then it is differencing, after differencing determining ACF and PACF, white noise test, which means the data used are normally distributed so that it can predict the occupancy rate of hotel rooms in 2018 namely 39 , 46, 40.97, 39.86, 40.86, 39.89, 40.85. From this study can be a picture of changes in the Salatiga City Hotel Occupancy Rate at this time where this research is reviewed from the Salatiga City Hotel Room Occupancy Rate which has lasted longer. Keywords: Forecasting,Arima,Minitab
Formation of environmental competencies among students of a pedagogical university

The article deals with the formation of environmental competencies in the classroom of students of Surgut state pedagogical University (Surgpu), revealing theoretical knowledge and skills in the field of regional ecology of the Khanty-Mansi Autonomous Okrug -Yugra (KHMAO-Yugra).The implementation of environmental competencies allows you to form a holistic view of the specifics of the Northern district, to solve specific environmental problems in life situations and their professional activities.
Developing & Implementing Goals of Educational Leadership

The profession of educational leadership has improved significantly. Educators have a better understanding on how and in what ways, educational leadership has contributed in student achievement. An increasing base of knowledge from research and practice has depicted that the primary job of the educational leaders is to put emphasis upon student achievement by formulation of challenging, caring and supporting environmental conditions that are conducive to student learning. They develop and support teachers, create constructive working conditions, allocate the resources in an efficient manner, formulate appropriate organizational policies and systems and get involved in other kinds of in depth and meaningful work, outside the classroom setting. The meaningful work that educational leaders are involved in outside of the classroom and educational institution, has emphasis upon the activities and tasks that are implemented within the institution.
Connectionist models of mind: scales and the limits of machine imitation

This paper is devoted to some generalizations of explanatory potential of connectionist approaches to theoretical problems of the philosophy of mind. Are considered both strong, and weaknesses of neural network models. Connectionism has close methodological ties with modern neurosciences and neurophilosophy. And this fact strengthens its positions, in terms of empirical naturalistic approaches. However, at the same time this direction inherits weaknesses of computational approach, and in this case all system of anticomputational critical arguments becomes applicable to the connectionst models of mind. The last developments in the field of deep learning gave rich empirical material for cognitive sciences. Multilayered networks, mathematical models of associative dynamics of learning, self-organizing neuronets and all that allow to explain the principles of human conceptual organizing and after this to emulate these processes in computer systems. At all engineering achievements of this technology there is a traditional criticism from representatives of cognitive psychology who cannot accept a thesis about learning ability of a neuronet on the basis of redistribution of scales. Process of learning of natural intelligence, according to cognitive models, happens due to attraction of knowledge broadcast in a symbolical form (mental representations, concepts) at the expense of the systems of output knowledge expressed in the propositional contents. Some philosophical aspects of «neural metaphor» in modern cognitive sciences create the problem field which demands comprehensive understanding, the first step towards which is taken in this work.
Undersökning om hjulmotorströmmar kan användas som alternativ metod för kollisiondetektering i autonoma gräsklippare. : Klassificering av hjulmotorströmmar med KNN och MLP.

Purpose – The purpose of the study is to expand the knowledge of how wheel motor currents can be combined with machine learning to be used in a collision detection system for autonomous robots, in ...
Problems and Prospects of On-Line Education in Russia

The article is devoted to the problems and prospects of online education in modern Russia.The situation of the outbreak of the coronavirus pandemic has brought the process of distance learning to a new level.The author makes an attempt to analyse the main forms and methods of online education from the point of view of developing students' skills of critical literacy and the ability to form their own semantic field.
Schema Aware Semantic Reasoning for Interpreting Natural Language Queries in Enterprise Settings

Natural Language Query interfaces allow the end-users to access the desired information without the need to know any specialized query language, data storage, or schema details.Even with the recent advances in NLP research space, the state-of-the-art QA systems fall short of understanding implicit intents of real-world Business Intelligence (BI) queries in enterprise systems as Natural Language Understanding remains an AI-hard problem.We posit that deploying ontology reasoning over domain semantics can help in achieving better natural language understanding for QA systems.In this paper, we specifically focus on building a Schema Aware Semantic Reasoning Framework that translates natural language interpretation as a sequence of solvable tasks by an ontology reasoner.We apply our framework on top of an ontology-based, state-of-the-art natural language question-answering system ATHENA, and experiment with 4 benchmarks focused on BI queries.Our experimental numbers empirically show that the Schema Aware Semantic Reasoning indeed helps in achieving significantly better results for handling BI queries with an average accuracy improvement of 30%
LibGuides: Copy of Using Picture Books as Mentor Texts for Teaching Reading Strategies: Summarizing

Students will have to select important details in order to create a brief summary of the text.