Reviewerly/exHarmony huggingface dataset:
The Effect of Innovation-oriented Organizational Culture on Job Engagement and Job Stress: Focusing on Moderating Effect of Selfefficacy

Purpose: The purpose of this study is, in the situation where rapid response to the rapidly changing environment is required due to the development of the fourth industrial revolution such as artificial intelligence, virtual reality, and the internet of things, robotics, big data, additive manufacturing, bio-health, sharing economy and in the organizational culture aspiring toward the innovation of a major company, small business and a public institution, to analyze what influence a job-engagement and stress make, and what influence individual's self-efficacy as a moderator mediator makes, and to offer basic data for improving job-engagement and lowering job-stress. Research design, data, and methodology: For doing this, the literature and the empirical studies were combined. Deriving innovation-oriented organizational culture as factors affecting the job engagement and job stress through the literature, and have established hypotheses to verify them. We have collected data of 281 from ex,ecutives and staff-members working in areas including major company, small business and officials (the central government, a local public service, the prosecution, the police, and school). And these data were analyzed by SPSS 23 version. Results: Based on these data, the results of analysis were as follows; First, the innovation-oriented organizational culture which was recognized by organizational members had effect on job-stress. Second, the innovation-oriented organizational culture which was recognized by organizational members influenced job-stress. Third, in the relationship between the innovation-oriented organizational culture and job-engagement, self-efficacy did not influenced job-engagement. Finally, in the relationship between the innovation-oriented organizational culture and job-stress, self-efficacy influenced job-stress. Conclusions: Innovation-oriented organizational culture places importance on the organization's adaptability and flexibility in the external environment, so companies need to establish an innovation-oriented organizational culture favorable to achieving survival and successful innovation, and to develop and disseminate programs of positive and continuous organizations to improve task enthusiasm, reduce task stress, and enhance organizational performance. In the future, it will be necessary to verify the effectiveness of various organizational culture types through comparative analysis with companies that actively maintain an innovation-oriented organizational culture (Google, Kakao, etc.) and companies that prefer hierarchy-oriented organizational culture, relationship-oriented organizational culture, and market-oriented organizational culture.
Peningkatan Kualitas Tahu Mbak Trisni Di Kecamatan Percut Sei Tuan

The business of Tofu Mbak TRISNI located in Percut Sei Tuan has produced about 2 years. The Problems in the partner's efforts are: 1) The partner has not yet had the knowledge and understanding of the quality of clean water and is worthy tobe used for the manufacture of tofu and for other activities, 2) The partner does not have the knowledge and skills About clean water treatment technology of households, 3) The partner requires additional knowledge to cultivate less viable water in order to be a decent water used for the purpose of making tofu and daily necessities and 4) partners need Simple Technology to cultivate water is less feasible to be a decent water used for the purpose of making tofu and household use. The method of implementation of activities carried out by approach method includes extension activities, training, mentoring and workshop on appropriate technology to process water is not worthy of use into viable water tailored to the condition Environment. This PKM activity generates the availability of clean water for the manufacture of tofu that will produce good quality and safe for health for long-term consumption as well as increased knowledge and skills partner in operating the tool TTG For longer periods of time.
A Sanitizer for Detecting Vulnerable Code Patterns in uC/OS-II Operating System-based Firmware for Programmable Logic Controllers

As Programmable Logic Controllers (PLCs), popular components in industrial control systems (ICS), are incorporated with the technologies such as micro-controllers, real-time operating systems, and communication capabilities.As the latest PLCs have been connected to the Internet, they are becoming a main target of cyber threats.This paper proposes two sanitizers that improve the security of uC/OS-II based firmware for a PLC.That is, we devise BU sanitizer for detecting out-of-bounds accesses to buffers and UaF sanitizer for fixing use-after-free bugs in the firmware.They can sanitize the binary firmware image generated in a desktop PC before downloading it to the PLC.The BU sanitizer can also detect the violation of control flow integrity using both call graph and symbols of functions in the firmware image.We have implemented the proposed two sanitizers as a prototype system on a PLC running uC/OS-II and demonstrated the effectiveness of them by performing experiments as well as comparing them with the existing sanitizers.These findings can be used to detect and mitigate unintended vulnerabilities during the firmware development phase.
Smart Garden (SMAG): A System of Outdoor Furniture Equipped with Artificial Intelligence

The “fourth industrial revolution” refers above all to production methods (Industry 4.0), the transformations of the digital technological components consequently also spill over into the world of product design. These transformations pose important challenges and calls for a partial revision of the design methods and operational processes. The article present a research project recently carried out in our laboratory that involved the use of advanced technology both for the operation of product and for the realization of the prototype. As within the Industry 4.0 paradigm, rapid prototyping and additive manufacturing technologies allowed us to introduce effective iterative product validation cycles for design.
[Paper] A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM

A novel method for player importance prediction from a player network using gaze positions estimated by Long Short-Term Memory (LSTM) in soccer videos is presented in this paper. By newly using an estimation model of gaze positions trained by gaze tracking data of experienced persons, it is expected that the importance of each player can be predicted. First, we generate a player network by utilizing the estimated gaze positions and first-arrival regions representing players’ connections, e.g., passes between players. The gaze positions are estimated by LSTM that is newly trained from the gaze tracking data of experienced persons. Second, the proposed method predicts the importance of each player by applying the Hypertext Induced Topic Selection (HITS) algorithm to the constructed network. Consequently, prediction of the importance of each player based on soccer tactic knowledge of experienced persons can be realized without constantly obtaining gaze tracking data.
Subject Guides: Research Data Management: Acknowledgements and Sources Consulted

This Guide will provide information on processes, procedures and policies with regards to research data management (RDM), as well as access to resources and tools that can support researchers in managing their data.
The role of communicative failures in the creation of Internet memes

The article deals with the notion of communicative failure as one of the key issues in communicative linguistics. The types of communicative failures are examined and the main causes that become a catalyst for the creation of Internet memes are analyzed. Scientists in communicative linguistics mainly explore the processes that help to create the images of a "perfect speaker" or a "perfect listener", since the factors which contribute to successful communication are certainly one of the most important tasks in this ﬁeld. However, taking into account all the key factors that may inﬂuence a communicative act when using a language in the process of real communication, there is always a place for linguistic asymmetry. Therefore, it is not surprising that one of the main issues in communicative linguistics is the phenomenon of communicative failure, its causes and consequences. Having analyzed a certain number of memes according to the generalized classiﬁcation of F. S. Batsevych in order to identify the main reasons for the Internet memes formation, we conclude that communicative failure is a very popular phenomenon, which occurs constantly and everywhere, where interaction takes place. All types of communicative failures can serve as a background for Internet memes. In our future research, we intend to focus on exploring the strategies and tactics of the communicative act based on English-language Internet memes.
Term Paper on The Nature of Cyber Crime and Cyber Threats: A Criminological Review

Cybercrime is one of the fastest-growing criminal activities in contemporary age. The first recorded cybercrime happened in France in the year 1820. It was not as sophisticated as cybercrime we know in our world today, but, still, that was a crime. Cybercrime has evolved globally as the online platform is progressing. While progress is made in the battle against cybercrime there still remains a wide gap in the consistency of laws across international borders. The main objectives of this study are to explore the nature of cybercrime in developing countries, find out the cyber threats for terrorist activities and explain cybercrime and threats from criminological aspects. This is a descriptive study which is based on secondary data. This study is based on previous researches &amp; studies. this paper discusses the nature of cybercrime in developing countries. It could allow developed countries to understand better the national and international effects of that cyber threats, to determine the conditions of current regional and international agreements, and to help countries create a sound legal framework. And then we notice the impact of cyber threats all over the world. At last, we discuss cybercrime from criminological point of view. Cybercrime is not limited to two neighboring countries and cross-border conflicts; an attempt could be conducted from another world. It is fearful to see cyber wars as the easiest way to carry out sabotaging rather than wars such as cold war, chemical and biological wars, terrorist wars or jihadist attacks. The international legal framework aims by the International Criminal Court to keep offenders accountable for their actions. The government has by far the biggest burden and obstacle in raising knowledge of cybercrime among the people.
A Programmer’s Text Editor for a Logical Theory: The SUMOjEdit Editor (System Description)

SUMOjEdit is a programmer’s text editor for the SUO-KIF language and SUMO http://www.ontologyportal.org theory. Modern procedural programming is done in a text editor with tool support. Development of ontologies and taxonomies has often been done in graphical editors, leading many developers to employ only logics of very limited expressiveness that can be manipulated visually. Developers in the theorem proving community typically work in text editors but often without the same degree of tool support that most programmers rely on. Beginners working with SUMO make some very predictable errors in syntax, logical formulation, and use of the library of theories. Many of these errors can be flagged during editing, resulting in reduced time to become a productive developer. An editor designed for working with SUMO has the potential to aid beginners and experienced SUMO developers.
MODELS AND METHODS OF CLASSIFICATION OF TEXT REQUESTS IN THE SYSTEM OF PATTERN IDENTIFICATION OF POLYLINGUAL TEXTS

A classification scheme for text documents consisting of five steps is described: pre-processing, indexing, selection of features, construction and training of a classifier, quality assessment. Two comparative analyzes by classification methods are considered. Conclusions are drawn about models and classification methods regarding implementation efficiency.
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer

JavaScript (JS) engine vulnerabilities pose significant security threats affecting billions of web browsers. While fuzzing is a prevalent technique for finding such vulnerabilities, there have been few studies that leverage the recent advances in neural network language models (NNLMs). In this paper, we present Montage, the first NNLM-guided fuzzer for finding JS engine vulnerabilities. The key aspect of our technique is to transform a JS abstract syntax tree (AST) into a sequence of AST subtrees that can directly train prevailing NNLMs. We demonstrate that Montage is capable of generating valid JS tests, and show that it outperforms previous studies in terms of finding vulnerabilities. Montage found 37 real-world bugs, including three CVEs, in the latest JS engines, demonstrating its efficacy in finding JS engine bugs.
Participation of libraries in solving national economic problems during the Great Patriotic War

The author examines the role of libraries in accomplishing diverse economic tasks during the Great Patriotic War (WWII). Before the war, the libraries accumulated this specific experience and expanded it in timely and integrated manner. The author demonstrates how the libraries participated in engaging new workpower to the industries, including women and teenagers who had to replace those who went off to war. The libraries assisted in teaching teenagers and young adults in their off-work hours and their professional training. The activities of the libraries in the backlands is discussed: information support of evacuated enterprises and research centers, new groups of users, and researchers, in particular. Statistical data available from multiple publications (see the applied list of sources). The author examines this subject in his several works, including papers presented at various forums and articles published in the present journal (e. g. Libraries’ accomplishing military and defense tasks during the Great Patriotic War. – 2020. – № 4; Unknown lives: D. B. Marchukov heading the State Foundation for Reviving Libraries Destroyed During the Great Patriotic War. – 2017. – № 1).
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach

In the interactive image segmentation task, the Particle Competition and Cooperation (PCC) model is fed with a complex network, which is built from the input image. In the network construction phase, a weight vector is needed to define the importance of each element in the feature set, which consists of color and location information of the corresponding pixels, thus demanding a specialist's intervention. The present paper proposes the elimination of the weight vector through modifications in the network construction phase. The proposed model and the reference model, without the use of a weight vector, were compared using 151 images extracted from the Grabcut dataset, the PASCAL VOC dataset and the Alpha matting dataset. Each model was applied 30 times to each image to obtain an error average. These simulations resulted in an error rate of only 0.49\% when classifying pixels with the proposed model while the reference model had an error rate of 3.14\%. The proposed method also presented less error variation in the diversity of the evaluated images, when compared to the reference model.
Research on early warning method of coil temperature of emergency diesel generator set in nuclear power station

Abstract As the last back-up supply of the nuclear power supply system, it is of great significance to ensure the safety and reliability of the nuclear emergency diesel power unit. For the emergency diesel generator set of nuclear power plant, the various signal types of diesel generator set are quasi periodic non-stationary signals, which make the diesel generator set have the characteristics of complex fault mechanism, difficult to collect and process all kinds of signals in a unified way, and difficult to extract fault features. The main purpose of this paper is to provide an early warning method and system for the coil temperature of diesel generator set in nuclear power station. By building a synchronous collection system for the coil temperature of diesel generator set, the collected coil temperature is counted in real time, and the abnormal analysis is carried out according to the real-time predicted value, and the early warning is carried out in time in case of any abnormality, so as to ensure the normal operation of diesel generator set.
Nilai Contrast to Noise Ratio (CNR) Radiograf Thorax PA antara menggunakan Grid dengan tanpa Menggunakan Grid

Background: Chest radiographic examination often does not use a grid even though the thorax is an object that has a thickness of more than 10 cm so it must use a grid. This study aims to determine the differences and the degree of change in Contrast to Noise Ratio on PA radiographs between using a grid and without using a grid.Methods: This type of research is a pre-experimental quantitative. The research subject is a radiological image of PA thorax made using the grid (50 patients) and without using the grid (patient). The image is analyzed by pixel value using Dicom softwareResults: There is a difference in contrast values on the PA radiographs between those using the Grid and without using the Grid (p-value 0.001). The average value of the contrast on the chest radiograph using a Grid is 2283.60, while the one without using a Grid is 1878.58. Noise value also shows that there is a difference between chest radiographs of PA images using Grid without using Grid (p-value = 0.001). The average thorax photo noise using Grid is 25.32, paired using Grid is 17.84. Statistical test on the value of Contrast to Noise Ratio (CNR) shows that there is a difference between radiographs of PA chest radiography using Grid without Grid (p-value 0.001). The average CNR radiograph of the PA thorax PA using Grid is 100.79, while the CNR value of the radiograph of thorax PA without using Grid is 125.62.Conclusions: There is a Contrast difference between using a grid and without using a grid (p-value 0.001). There is a Noise difference in PA radiographs between using a grid and without using a grid (p-value = 0.001). There is a difference in Contrast to Noise Ratio on the PA chest radiograph between using a grid and without using a grid (p-value 0.001).
The Impact of Agile Project Management Model on the Performance of Technology Teams

In the academic and business world, the number of leaders who are not familiar with the concept of an agile team has recently declined. Compared to traditional project management approaches, small but entrepreneurial teams, which are established close to the customers for the purpose of shortening the efficiency and time to market, are preferred in order to keep up with the rapidly changing conditions and competition The study prepared by taking into account the relationship between OECD countries and seven emerging countries, trying to show the difference between the share of research and development (R&D) expenditures from national income (GDP) and the number of patent applications and export in the Information and Communication Technologies (ICT) sector, and introduction-based literature review to provide information about the productivity and scalable evaluability of teams in engineering approaches, and the definition of the model, where the measures are, and the result stage.
Identification of Indian Currency Denomination UsingDeep Learning

In the run of our life, currency plays the most important role. Identifying currency denomination issometimes the most difficult thing people could find. Since we are living in the computer world, everything could bepossible with the machine. Detecting object from the image is becoming the interesting research in the recent years,which can be done by using different deep learning techniques. This is a framework for recognizing and identifyingthe denomination of the currency depending on the trained currency images. We are using six denominations of theIndian currency which are captured in all orientations for testing and training datasets. For accurate extraction offeatures, we are using Convolutional Neural Network model. Our experimental results demonstrate with 99.44% oftraining and 93.48% of validation accuracy.
ProtoryNet - Interpretable Text Classification Via Prototype Trajectories

We propose a novel interpretable deep neural network for text classification, called ProtoryNet, based on a new concept of prototype trajectories. Motivated by the prototype theory in modern linguistics, ProtoryNet makes a prediction by finding the most similar prototype for each sentence in a text sequence and feeding an RNN backbone with the proximity of each sentence to the corresponding active prototype. The RNN backbone then captures the temporal pattern of the prototypes, which we refer to as prototype trajectories. Prototype trajectories enable intuitive and fine-grained interpretation of the reasoning process of the RNN model, in resemblance to how humans analyze texts. We also design a prototype pruning procedure to reduce the total number of prototypes used by the model for better interpretability. Experiments on multiple public data sets show that ProtoryNet is more accurate than the baseline prototype-based deep neural net and reduces the performance gap compared to state-of-the-art black-box models. In addition, after prototype pruning, the resulting ProtoryNet models only need less than or around 20 prototypes for all datasets, which significantly benefits interpretability. Furthermore, we report a survey result indicating that human users find ProtoryNet more intuitive and easier to understand than other prototype-based methods.
ENGLISH-LANGUAGE TERMINOLOGY OF DIGITAL ECONOMY AS AN OBJECT OF LINGUODIDACTICS

This article is devoted to the study of digital economy terminology and its consideration from the point of linguodidactics. The object of analysis were the causes of “digital English” emergence in people’s lives, the importance of learning, research and systematization of digital terminology and the necessity of this research for professionals and everyone who uses economic and digital terminology or is related to the preparation of any type of didactic material for teaching or self-education. Based on the scientific research of specialists in the field of Economics and Linguistics, the article acquaints the reader with the concept of the English-language digital term, its nature and features, as well as highlights the issue of its semantic, structural and functional characteristics from the point of view of linguistics and linguodidactics. The article briefly presents different types of classifications of English-language digital terminology, the most frequently used strategies for translating these terms into Russian, which makes the study particularly relevant in the issue of synergy of Finance and Linguistics. The authors emphasize that either correct or incorrect understanding of the essence and laws of interaction between the Digital, Economic and Linguistic spheres can lead to a correct or incorrect understanding of business processes, computing spheres and their transformations into digital data. Thus, the study of digital terminology, accurate understanding of situations and opportunities for its use in various fields is very important for successful implementation of the economic and technical tasks. Specific examples of modern English-language vocabulary of digital economy terms are performed as a material for the study.