Reviewerly/exHarmony huggingface dataset:
Impact of Trademark Rights on a Company’s Financial Performance: Focusing on Pharmaceutical Industry in South Korea

Background/Objectives: In recent years, there has been a growing awareness that intangible assets, especially intellectual property, can affect a company’s value and competitiveness. To this end, companies are striving to secure intellectual property around patents, and many studies have verified the relationship between patent information and corporate performance from a variety of angles. However, in the field of intellectual property, the focus was mainly on patent information-driven research, and further research on the relationship between trademark and design authority is necessary to clarify the relationship between intellectual property rights and corporate management performance..Method/Statistical Analysis: The purpose of this study is to verify whether a company’s trademark application/registration activity and the persistence of a company’s trademark rights affect the company’s financial performance through SPSS.Findings: The amount of trademark application/registration activity of a company and the persistence of trademark rights held by a company both affect the financial performance of the company.Improvements/Applications: This study verified the relationship between trademark rights and corporate performance, which had been expected only by conjecture, through statistical method. However, the value of a trademark is determined by the market value accumulated by the use of the trademark rather than by the trademark itself. Therefore, follow-up studies are needed to verify statistically through various trademark information for various industries as to whether the acquisition of trademark assets has a positive effect on the company’s management performance.
Heterogeneous Knowledge Distillation using Information Flow Modeling

Knowledge Distillation (KD) methods are capable of transferring the knowledge encoded in a large and complex teacher into a smaller and faster student. Early methods were usually limited to transferring the knowledge only between the last layers of the networks, while latter approaches were capable of performing multi-layer KD, further increasing the accuracy of the student. However, despite their improved performance, these methods still suffer from several limitations that restrict both their efficiency and flexibility. First, existing KD methods typically ignore that neural networks undergo through different learning phases during the training process, which often requires different types of supervision for each one. Furthermore, existing multi-layer KD methods are usually unable to effectively handle networks with significantly different architectures (heterogeneous KD). In this paper we propose a novel KD method that works by modeling the information flow through the various layers of the teacher model and then train a student model to mimic this information flow. The proposed method is capable of overcoming the aforementioned limitations by using an appropriate supervision scheme during the different phases of the training process, as well as by designing and training an appropriate auxiliary teacher model that acts as a proxy model capable of explaining the way the teacher works to the student. The effectiveness of the proposed method is demonstrated using four image datasets and several different evaluation setups.
Blockchain technology adoption in the supply chain (UTAUT2 with risk) - evidence from Indian supply chains

The aim of the present study is to study blockchain technology adoption intentions by supply chain practitioners using the unified theory of adoption and use of technology (UTAUT2) with risk model as the conceptual framework. UTAUT2 is generic model which can be used to study adoption of technologies. The present study applies this model to study blockchain technology adoption in the supply chain. Data was collected from 360 supply chain practitioners in India. The results of the current study indicate that behavioural intentions for blockchain technology adoption are significantly influenced by performance expectancy, social influence, hedonic motivation and price value considerations. The study proposes some guidelines for adopting blockchain in the supply chain. The present study tries to fill in the gap in the existing literature by listing out the factors that influence blockchain technology adoption in the supply chain.
The experience of developing a "good training task" for forming universal educational actions of the students at informatics lessons

The article describes the experience of creating "good training tasks" on informatics for forming universal educational actions of students. The novelty of the presented approach is that any informatics teacher who teaches at the level of basic general education with any teaching kit can apply the developed system of tasks for monitoring universal educational actions, since all tasks will be developed in accordance with the requirements of the Federal State Educational Standard of Basic General Education. With the successful implementation of experience, each teacher will receive an effective mechanism for forming universal educational actions of students. Having at hand the optimal selection of didactic tools in the form of tasks created and developed by the teacher will allow the teacher to develop systematically the basic universal educational actions of students from lesson to lesson.
The Selection of Educational Contents on Western History and the Improvement of Its Sequence: Focusing on the Selection of More Advanced Learning Components for High-School Textbooks

As Western history have been an important part of the education of world history, differentiating leaning components for middle-school textbooks and high-school textbooks has been also a significant scholarly subject. This article is not designed to decide which components should be in middle- or high-school textbooks because the arbitrary systematization of leaning components by a scholar violates textbook writers’ autonomy. Accordingly, it is more useful to discuss the standards by which the content of deep learning is constructed at the high-school level and proper learning components are selected. This tentative study focuses on these standards with specific cases which also help realize the goal of the national curriculum and expand learning components at the high-school levels properly.
The Mystery behind Foreign Reserve Sterilization: Empirical Evidence from The Gambia

This paper investigates the impact of the foreign reserve on the domestic money supply and the level of sterilization by employing the Auto Regressive Distributed Lag for short-run estimation, the Fully Modified OLS for long run estimation and Granger Causality on a monthly data from 2002 to 2019. The short-run and long-run results revealed that foreign reserve has a positive statistically significant impact on money supply; this suggests a total lack of sterilization on the part of Central Bank of The Gambia. The Granger causality confirms a feedback association between the foreign reserve and broad money supply.
Orthographic neighborhood size volatility analysis in the context of writing assessment

Writing assessment was conducted using the orthographic neighborhood size as a numerical measure of transforming literacy to numeracy. The neighborhood size was calculated using the free online CLEARPOND technology from Northwestern University. The transformed numerical information can be viewed as a time series where fluctuation analysis could be applied. The concept of volatility used in stock market analysis was employed to analyze the fluctuation of the orthographic neighborhood sizes in short essays assigned to students in an introductory astronomy course offered by an open admission community college. The results showed that writing containing scientific words with low neighborhood sizes exhibited high volatility, consistent with high-demand cognitive tasks students were asked to perform. A random shuffling of the words in a sentence generated word-list sequences where the students would be asked to exercise rules of grammar to select the correct sequence. The hypothesis that the reading of a high volatility in the neighborhood size histogram would be expected to correspond to a high-demand cognitive task was tested in this exploratory project. The CLEARPOND output contained a list of phonological neighborhood sizes and the association of orthographic volatility with phonological volatility is also studied with additional examples from presidential debate sentences and song lyrics. This proof of concept volatility project brings stock market analysis, based on econometric methodology, into writing and language studies that demand precision comparison. The volatility analysis results in comparison to lexical diversity analysis results are also discussed.
Fast Opto-electrical Transformation of HDR Videos based on a LUT for Piecewise Linear Approximation

This paper proposes fast opto-electrical transformation of high dynamic range (HDR) signals based on piecewise linear approximation. Non-linear transformation for the opto-electrical transfer function (OETF) is accelerated via two-level look-up table (LUT) linear approximation. First, the range of an input optical signal is divided into 10 intervals of a log10 scale. Then, each log10 scale interval is again divided into multiple sub-intervals. For each sub-interval, the parameters of the linear function for approximation of non-linear transformation are stored in a LUT. Without computation of the parameters for a range, the output of the electrical signal level is easily computed with the linear function. The proposed algorithm was evaluated along with the OETF mapping algorithm (the so-called LUT-linear mapping) in the HDRTools package developed by the Moving Picture Experts Group (MPEG). The experimental results show that the proposed algorithm achieves time savings on average of 42.73% and has a negligible loss in peak signal-to-noise ratio compared to the LUT-linear mapping method.
Measuring the engagement of Malaysian digital marble game: 3A guli

Focusing on improving the engagement issues of Malaysian digital traditional games, a traditional version of marble game has been developed with some enhancements. This study has been conducted in four main phases; analysis and design of the enhanced game, development of the 3A Guli game, human experimental test, and engagement analysis. The 3A guli is designed and developed in mobile platform and playable in Android environment. To measure player’s engagement, a human experimental test has been conducted involving 66 respondents among active gamers of the Millenials. Players’ engagement is measured through three phases of playing the game; pre-play, during play and post-play. Engagement analysis is conducted using simple descriptive analysis. Findings revelead that the respondents enjoyed and endured the game. Players’ suggestions on better appearance of 3A Guli will further enhance the game towards attracting and enhancing the engagement of the game.
ASSESSMENT OF MOBILE LEARNING PERFORMANCE

Although the application of mobile devices to educational curricula can be easier than in computers, many obstacles might also be encountered. Therefore, measurement of the performance of mobile learning process and further improvements by incorporating and assessing learners style should be seriously taken under consideration. The purpose of this research study is to assess mobile learning performance by proposing an improved methodology. The study pays attention to the instructional strategies that imply different settings and approaches when using mobile devices in the learning process, based on the case study insights from different universities.
A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting

Cooperation between different data owners may lead to an improvement in forecast quality - for instance by benefiting from spatial-temporal dependencies in geographically distributed time series. Due to business competitive factors and personal data protection questions, said data owners might be unwilling to share their data, which increases the interest in collaborative privacy-preserving forecasting. This paper analyses the state-of-the-art and unveils several shortcomings of existing methods in guaranteeing data privacy when employing Vector Autoregressive (VAR) models. The paper also provides mathematical proofs and numerical analysis to evaluate existing privacy-preserving methods, dividing them into three groups: data transformation, secure multi-party computations, and decomposition methods. The analysis shows that state-of-the-art techniques have limitations in preserving data privacy, such as a trade-off between privacy and forecasting accuracy, while the original data in iterative model fitting processes, in which intermediate results are shared, can be inferred after some iterations.
Experience of developing applications for the automation of the activities of an educational organization

The need to automate the activities of educational organizations in the modern economy is substantiated in the article. The goals of the automation of the activities of a professional educational organization are determined. Possible automation options are proposed. The experience of developing applications successfully implemented at Barnaul State Pedagogical College is presented. Applications are presented for automating the activities of structural divisions of an educational organization: admissions committee, psychological center, educational unit, methodologists of distance courses, technical departments. The experience of attracting students to the development of various IT projects with the aim of automating the activities of the educational organization in the framework of individual projects, term papers and final qualification works is considered. The work on attracting students to the development of various IT projects in order to automate the activities of an educational organization is systematic. In the process, students receive technical specifications, analyze project requirements, design, develop and test the product, implement and support it, thereby mastering general and professional competencies, and gain practical experience in project activities. As a result, students form the key competencies of the 21st century, which make up the 4С model: Critical Thinking, Creativity, Communication, Cooperation.
Rancang Sistem Informasi Akademik Berbasis Android (Studi Kasus: SMA Handayani Pekanbaru)

Handayani Pekanbaru High School is one of the private schools that has been established since 1981. The service process at Handayani High School has generally been computerized through a website system, which is an academic information system used to view attendance, see grades and absenteeism, a system that is still This website-based has a less than optimal display if accessed using a browser via a mobile device, because this web-based system is designed for large screens such as computers or laptops. To deal with this problem so that the system can be optimized if it is opened via a mobile device, then another alternative media is needed to access the academic information system. This alternative media is an android-based system by applying the incremental method in developing an android-based academic information system, where the android-based system is easy to carry everywhere because it is installed on a mobile device. Based on the results of the questionnaire that was distributed, 87% of users agreed with the construction of an Android-based information system at Pekanbaru's Handayani High School. Keywords: Academic Information Systems, Incremental, Android, php, java, Json.
PEMAHAMAN PENTINGNYA GEMAR MENABUNG DALAM RANGKA MENGENALKAN INFORMASI KEUANGAN DAN PERTUMBUHAN UANG

The purpose of Community Service Activities is to carry out one of the Tri Darma of Higher Education. In addition, it is expected that through community service, the existence of tertiary institutions can make a major contribution to the development and application of knowledge to the community. The method used in this Community Service is in the form of counseling and coaching that is a better action, process, result, or statement. In this case shows progress, increased growth, evolution of various possibilities, develops or an increase in something. The results of community service obtained are increased knowledge for students and students conducted in grade 3 of the Department of Computer and Network Engineering at SMK Muhammadiyah Jl. H. Mawi No. 292 Desa Bojong Indah, Kec. Parung, Kab. Bogor 16330 with 25 participants, so that they have a good view of how motivated they learn, how to prepare themselves for entering college and the world of work. The knowledge gained in Community Service this time is expected to be able to provide new enthusiasm for us in delivering material and motivation to save and know the growth of money and to contribute to the young generation, both in schools, colleges, communities and families. Keywords : Saving, Money Growth, Muhammadiyah Parung vocational high School
PROCESSING OF THE PROCESSING INFORMATION SYSTEM POPULATION DATA IN KATURAHAN KATIAHAN WEBMOBILE BASED

Management of population administration data of related institutions plays an important role in the process of collecting population data that is relevant and can be a guide for an area that is related to the population census. In this case the population data system is one of the factors that influences population data in the area of Air Kati Village, Lubuklinggau Selatan I District, Lubuklinggau City. Air Kati Urban Village in conducting population data collection still uses manual methods, namely by visiting residents one by one to find out the number of each family head. If the data collection officer comes to a resident's house often experiences obstacles, there is no person or family head in the house. This has become an obstacle for officials in assessing population data to collect data quickly. Based on this observation the author's desire arises to create an information system that can help officers in population data collection in Air Kati village, Lubuklinggau Selatan I District, Lubuklinggau City. The purpose of this study is expected to process the management of population information systems in the data collection that is done quickly and effectively. With the web mobile based population information system design, it can facilitate the admin in inputting administrative data of the family head community in Air Kati Urban Village, reducing the time needed, reducing the possibility of errors in recording and speeding up the search process
Egyháztörténet, helytörténet és gyülekezettörténet határán: A Szeged-Újszegedi Református Egyházközség 1952 és 1964 közötti presbiteri jegyzõkönyveinek forrásértéke

Established in 1928, the Szeged-Ujszeged (known as the Missionary at the time) Church Parish is a modern-day congregation. On the occasion of its ninetieth anniversary in 2018, the decision was made to produce a monograph that conformed to the modern requirements of historiography. Compiling the post-1945 section of that history was the responsibility of the lecturer. The lecture follows a methodological concept. The work does not cover the historical events of the Szeged-Ujszeged Church Parish so much as it examines the usefulness of the presbyter minutes as a historical resource. The researchers of Protestant Church history are usually clear about the central importance of presbyter minutes. Inasmuch as these are the most illustrious and well-kept resources of the life of a Protestant congregation, it begs the question:What exactly did the entries of the church council compose the sources of? And how did the following factors shape them: the laws of the Protestant Church; the characteristics of the universal, provincial and diocesan systems; national and local events; the material and social situation of the congregation; the denominational and spiritual imprint of the pastor on the congregation; and public awareness of the „faith of the parish”? But if the presbyter sources are „lacking” or prove to be „cryptic in nature”, how can they be compared to other sources, for example, to „oral histories”? The proposed lecture wishes to find the answers to these questions by delving into the presbyter minutes logged between 1944 and 1964 of the Szeged-Ujszeged Church Parish.
Detection and Notification of abnormal movements in bedridden people

Wireless sensors have a great potential in many ubiquitous applications and they are used in multiple domains. Use of wireless sensors in the medical domain enhances the provi- sioning and management of healthcare services, provides early exposure to certain diseases and increases patient’s life expectan- cy. Health data can now be collected wirelessly using wearable sensors and with an enhanced form of wireless communication like bluetooth low energy. The voice-control personal assistant service like Amazon Echo provides an easy way for individuals to access a variety of data using voice commands. Voice interactive devices combined with wearable sensors have allowed for the development of the applications that provide easy user interac- tion. In this paper, a smart application has been proposed which combines the analysed data from wearable sensors and voice interfacing capabilities of Amazon Echo.
An Integrated Process Based Natural Language Processing System

Natural Language Processing (NLP) systems involve Natural Language Understanding (NLU), Dialogue Management (DM) and Natural Language Generation (NLG). The purpose of this work involves integrating learning with examples and rule-based processing to design an NLP system. The design involves a three-stage processing framework, which combines syntactic generation, semantic extraction and a strong rule-based control. The syntactic generator generates syntax by aligning sentences with Part-of-Speech (POS) tags limited by the number of words in the lexicon. The semantic extractor extracts meaningful keywords from the queries raised. The above two modules are controlled by generalized rules by the rule-based controller module. The system is evaluated under different domains. The results reveal that the accuracy of the system is 92.33% on an average. The design process is simple, and the processing time is 2.12 seconds, which is minimal compared to similar statistical models. The performance of an NLP tool in a certain task can be estimated by the quality of its predictions on the classification of unseen data. The results reveal similar performance with existing systems indicating the possibility of usage for similar tasks. The system supports a vocabulary of about 700 words and can be used as an NLP module in a spoken dialogue system for various domains or task areas.