Reviewerly/exHarmony huggingface dataset:
Nearly optimal codebooks from generalized Boolean bent functions over $ \mathbb{Z}_{4} $

&lt;p style='text-indent:20px;'&gt;In this paper, based on the theory of &lt;inline-formula&gt;&lt;tex-math id="M2"&gt;\begin{document}$ \mathbb{Z}_{4} $\end{document}&lt;/tex-math&gt;&lt;/inline-formula&gt;-valued quadratic forms we propose several classes of generalized Boolean bent functions over &lt;inline-formula&gt;&lt;tex-math id="M3"&gt;\begin{document}$ \mathbb{Z}_{4} $\end{document}&lt;/tex-math&gt;&lt;/inline-formula&gt;, and new families of codebooks are constructed from these functions. The codebooks constructed in this paper are nearly optimal with respect to the Welch bound, and their parameters are new. Furthermore, some Boolean bent functions are also derived.&lt;/p&gt;
A study on the operations and preferences of differentiated general English courses at an engineering university.

The purpose of this study was to investigate university learners’ preferences and other related factors for two general English courses, one course focusing on reading and another on conversation, with students divided by their language proficiency level. The participants were 554 students at an engineering university. A 4-point Likert-type scale was used to record general tendency. Students were evaluated and divided into three and four proficiency levels for the reading and conversation course, respectively. 88.1% of participants had a favorable opinion of the level-divided conversation course, and 87.7% had a positive view of the level-divided reading course. Cross tabulation analysis was conducted to examine any relationships between the preferences and other factors such as sex, favorable feelings toward English, students’ majors, and English proficiency. The chi-square analysis showed no significant relationship between level-divided course preference and factors like sex or fondness for English. However, there appears to be a significant relationship between students’ majors and level-divided course preference for both the conversation and reading courses as well as a preference relationship between English proficiency and the reading course. The participants liked the effectiveness of the level-divided course content and the tailoring of educational content according to students’ proficiency.
Blockchain for healthcare

In 10 years the electronic medical record will be the minor player, in terms of where a person&apos;s health history lives. Most of that information will be kept on the phone or in a secure cloud, and the patient will be highly engaged with collecting, curating and sharing that data. Most doctor visits will be like calling up a YouTube meets virtual human docs and there will also be an aspect of virtual reality.
LibGuides: Digital Learning Guide: Special Populations

This guide was created as part of emergency planning in case we need to close school for weeks at a time
From spatial to platial - the role and future of immersive technologies in the spatial sciences

Immersive technologies such as virtual and augmented reality have been part of the technology mindset in computer and geospatial sciences since early on.The promise of delivering realistic experiences to the human senses that are not bound by physical reality has inspired generations of scientists and entrepreneurs alike.However, the vision for immersive experiences has been in stark contrast to the technology that has yet to properly support that vision; the community has battled nuisances such as cybersickness, tethers, and display quality for the last few decades.With the "final wave" of immersive technologies, we are now able to fulfill a long-held promise and freely envision how immersive technologies change spatial sciences by creating embodied experiences for geospatial applications.These experiences are not restricted by time or place, nor are they limited to the physical world.This contribution envisions a future for spatial sciences that is enabled by immersive technologies discussing their potential and challenges.
Construction of Guarantee System of "Industry-Education Integration, School-Enterprise Cooperation" -- Taking Construction Engineering Management Major as an Example

In order to effectively promote the current supply-side structural reform of human resources, it is necessary to strengthen the integration of industry and education and realize the in-depth between schools and enterprises. This is of great significance to the work of professional education in colleges and universities in the new situation, which is conducive to improving the quality of education and teaching and promoting the development of the industry. This paper analyzes the current situation and existing problems of industry-education integration and school-enterprise cooperation in architectural engineering management major, and proposes specific strategies and schemes for constructing and improving its guarantee system.
A Cost Model for Decoder Decision Trees

Instruction decoders are an innate part of the System-on-Chip design flow and major constituents of instruction set simulators and processor toolchains. The growing complexity of instruction sets has rendered the manual implementation of decoders a daunting task and one which seldom yields acceptable performance. Tools that autonomously generate decoder decision trees based on high level instruction descriptions attempt to address this situation. Due to the large number of possible solutions, such tools typically support only a vague notion of tree cost and instead make heavy use of heuristics in the generation process, possibly excluding the best candidates. This paper analyzes the performance of decoder decision trees with distinct parameters regarding shape, size, and implementation. Based on the experimental evaluation, a model of tree cost is developed. Our analysis takes the frequency of occurrence of instructions into account. Our model of tree cost is not restricted to the use-case of decoding instructions and is parametrized so as to be applicable to decision trees of given properties.
Visum et Repertum Socialization by RRI Medan Radio Broadcasting

Background ; Visum et repertum (VeR) as a form of report on the results of examinations of victims of crime, both living victims and death victims, is one of the services provided by doctors who can help law enforcement in upholding justice. Visum et Repertum as evidence that plays a role in the process of proving a criminal case against the health and mentality of humans certainly requires a form that is informative and correctly made. But in reality, based on several studies, it was found that VeRs are mainly made with poor quality, including in PKU Muhammadiyah Jogja Hospital (27.4%) 1, in Arifin Pekanbaru Hospital (37.11%), in Dumai Hospital (37.46%) 2 and several other service units that have been studied are also not much different. That is why we, from the Forensic Department of Faculty of Medicine of USU, are very concerned about this. In our collaboration with RRI Pro 1 FM 94.3 conducting an interactive dialogue about VeR. Method ; interactive dialogue through RRI Medan radio broadcasts. Results ; currently it cannot be evaluated, we hope that in the next 5 years we will get the desired change. Discussion ; based on previous research that mainly VeR is considered poorly made so that the Department of Forensics through cooperation between RRI Medan and the Faculty of Medicine of USU conducted an inspirational interactive dialogue broadcast with the theme of the VeR in addition to the Forensic Department with the above objectives also actively conducting research activities, seminars , training related to the making of VeR, and because this activity is an initial activity, it cannot be evaluated right away. We hope that in the next 5 years there will be a change in the result of good quality VeR. Conclusion ; VeR socialization activities through interactive dialogue on RRI radio broadcasts are one of the ways sought by the Forensic Department to improve the ability of general practitioners in making VeR.
Social Media and Accountability in the Cases Concerning Core Crimes

In these last years a dramatical increase in the use of cyber space has led to an important change also in criminal activities, emphasizing the weaknesses of actual legal frameworks in facing modern crime issues. Crime in the digital era can be more advanced due to technological instruments, moreover the modern world assists to the exponential growth of new types of crimes such as the evolving cybercriminality. With a particular regard to the Rome Statute and the International Criminal Court work, the issue which is discussed in this paper is whether the present legal structure is sufficiently efficient to deal with the problems pertaining to cyberspace, or whether new and updated laws and jurisprudence are needed. This research is supplemented by a case study examining the potential legal aspects of a situation where the ICC may have to deal with a case of multilayered crime. In the end, the public element of incitement is examined with reference to genocide, analyzing the effects of practical application of place factor and medium factors in the social media era.
Discipline STEAM e studenti Altamente Sensibili

STEAM subject areas are an effective educational tool to enhance equality and promote individual differences as a chance of growing together while developing transversal skills leading toan harmonious personal and professional identity.From this point of view, STEAM subject areas can be considered an opportunity for all Highly Sensitive Students to stand out and express themselves as schools should actually take care with inclusive and constructive didactics of their introvert personality, special inclinations, needs and potential.With the right tools and methodological approach based on the full knowledge of the role played by genetics and learning experiences, even these students will become aware of their skills and have a chance to fully live their lives in accordance with their personal characteristics.
英語語彙学習の効果に関する研究 －高校生を対象としたチャンク学習と単語単独学習の比較－ Comparison Between Learning Words in Chunks and in Isolation by Japanese High School Learners of English

第二言語における語彙学習について、文章を読んだり聞いたりしながら文脈の中で行うべきだとする主張がある一方で、文脈から切り離して単語を単独で明示的に学習する方法の有効性も報告されている。本研究の目的は、日本語を母語とする高校生にとって、英単語をチャンクで覚える方法と単独で覚える方法のどちらが英単語の日本語訳を覚えるのに有効であるかを検証することであった。それら二つの方法を用いた語彙指導を3週間行い、事前テストおよび計3回の事後テストを実施した。実験の結果、両方法ともに学習後18週間まで効果があり、二つの学習法に統計的に有意な差は認められないことが判明した。また、調査した20語の中には覚えにくい単語や忘れやすい単語があり、単語単独で学習する方法では、長期的に記憶に留めておくことが難しい単語があることが明らかになった。よって、これら二つの語彙学習法を相互補完的に用いることが望ましいことが示唆された。 Some researchers argue that vocabulary should be learned with context since it provides learners with the idea as to how the word is used in communication. However, other researchers insist that teaching vocabulary in isolation from context is also effective since learners can concentrate on learning the target words. Thus, the purpose of this study is to investigate the effectiveness of two methods of learning vocabulary: learning words in chunks and in isolation. The study also aims to analyze if there are any words that are easy or difficult to learn and to retain. The results of the posttests showed that the two methods were equally effective for memorizing Japanese translations of English words. However, it was revealed that some words were difficult to retain when they were learned in isolation. The authors argue that teachers should complementarily make efficient use of these two methods in their classroom.
Segmentation of Illuminated Areas of Light Using CNN and Large-Scale RGB+D Dataset for Augmented and Mixed Reality Systems

This work is devoted to the problem of restoring realistic rendering for augmented and mixed reality systems. Finding the light sources and restoring the correct distribution of scene brightness is one of the key parameters that allows to solve the problem of correct interaction between the virtual and real worlds. With the advent of such datasets as, "LARGE-SCALE RGB + D," it became possible to train neural networks to recognize the depth map of images, which is a key requirement for working with the environment in real time. Additionally, in this work, convolutional neural networks were trained on the synthesized dataset with realistic lighting. The results of the proposed methods are presented, the accuracy of restoring the position of the light sources is estimated, and the visual difference between the image of the scene with the original light sources and the same scene. The speed allows it to be used in real-time AR/VR systems.
Peculiarities of interaction between a teacher and a student musician in online education

The article is devoted to the problem of interaction between a teacher and a student of musical education in the process of distance learning. The main tasks facing each teacher during the quarantine period are outlined, and the preference is given to the ability to master the techniques of conducting online music lessons using various Internet resources or platforms for maintaining feedback. The author gives examples of online piano lessons, which took place individually with each student in a convenient mode for them. Attention is drawn to the problems that arose during the implementation of team tasks. Particular attention is paid to the research work of applicants, which ensured their continuous participation in scientific activities throughout the distance learning. The result was the performance of a first-year student at an online conference of the piano department with a report on the peculiarities of the reproduction of the artistic image in a musical work, which ended with the performance of an instrumental lyric piece. The research work provides an opportunity to show analytical abilities, observation, concentration, flexibility of thinking, which helps student musicians to acquire skills of independent work for future professional activity, promotes the development and formation of their personal qualities. The proposed study focuses on the peculiarities of interaction between the subjects of distance education who took an active part in prestigious international competitions and festivals in the category of instrumental art, which were held online. The specifics of work on musical pieces are revealed, the main difficulty of which is the true reproduction of artistic images.
Sistem Informasi Pengelolaan Kegiatan Umat Hindu Di Kota Gorontalo

Abstract Hinduism is one of the religions in Gorontalo with an increasing believer over time due to a surge of wandering believers to Gorontalo City. As time goes by, there has never been a media used to process data of the believer so that it leads to ineffectiveness of search for location of those believers in Gorontalo City and also to express information about activity conducted by them. Therefore, the problems should be solved by an information system media to facilitate people in searching data of Hindu in Gorontalo City and to express the activity-related information. Method applied in this system development was prototype. Result of this research was a Hindu's activity management information system in Gorontalo City. The result is expected to be a data collection media of Hindu in Gorontalo City and to facilitate people in seeking the location of the believers in Gorontalo City as well as to be a media to express information related to activity organized by them. Keywords : Hindu, Gorontalo City, Prototype Method, Information System, Activity
IMPROVING STUDENTS’ WRITING ABILITY IN NARRATIVE TEXT THROUGH PICTURE SERIES

The objective of the research is to prove whether the use of Picture Series is effective to improve students’ writing in narrative text. This pre-experimental study use 22 students’ as a sample. They are grade X1 b of SMA Atmajaya Tolitoli. The procedure of this research consist of pre-test, treatment, and post-test. The researcher give pretest and posttest to know the use of Picture series can improve the students’ writing in narrative text or not. The result of the analysis show that Picture series contribute greatly to the students’ comprehension. It can be seen by the difference of the mean score between pre-test and post-test. The mean score of pre-test is 52.72 while in the post-test improved up to 75.81. The data of this research are analyze by SPSS Program 16.0. Moreover, the Minimum mastery Criterion of English lesson is 75 (seventy-five). Then the data of both tests are analyze by using T-test, and the result show that the T-test value 20.071 was high than T-table value 2.080. it can be inferred that Picture series is very effective to improve students writing ability in narrative text. Keywords: Improving, narrative text, picture series,teaching writing
ONLINE LOAN GROUPING ANALYSIS OF FINANCIAL TECHNOLOGY (FINTECH) PLATFORM-BASED FOR MSMES IN INDUSTRY 4.0 WITH NAÏVE BAYES STATISTICAL METHOD

UMKM (Micro, Small and Medium Enterprises) is one of the Indonesian economy driving forces currently as the foundation of various sectors. Along with the growth of information technology that has increased sharply, many digital applications have been developed that offer convenience to the public, especially in terms of inclusion of funds as working capital, this has indirectly been broadly used by MSME players in seeking working capital in a short way. Peer to Peer Lending / P2PL (Fintech) or commonly referred to as an application online lending-based institutions, currently many have been present in the community either through licensed or unlicensed through the OJK Institution. As of October 14, 2020, OJK has released data on as many as 157 Legal Peer to Peer Lending Companies, while the number of Unlicensed P2PLending Institutions reported to OJK is around 2400, in the research conducted only 108 data were taken. From the data processing using the naive Bayes method in determining the grouping / classification, it is found that 50% of P2PL companies carried out activities with the Very fraudulently Category, 33% are quite fraudulently and 17% not fraudulently. With the release of research results, it is hoped that MSME players in obtaining loans online can be more vigilant in determining which institutions to appoint in venture capital participation.Keywords: Peer to Peer Lending, Naive Bayes, UMKM
Изучение физики в вузе в условиях дистанционного обучения

The paper describes the experience of studying physics in the context of distance learning, which was realized in the context of the spread of the new coronavirus infection Covid-19. The results of the questionnaire are also given, which allow us to make a conclusion about the effectiveness of using the selected methodology in these conditions. The experience of conducting practical exercises can be used in the study of disciplines, which implies the implementation of a laboratory practice, the direct interaction of a teacher and a student.
Hybridized Deep Learning Architectures for Human Activity Recognition

Human activity recognition using video data has been an active research area in computer vision for many years. Various approaches were introduced to efficaciously recognize human activities. This study focuses on identifying activities performed by single individuals using visual information from short video clips. Several deep learning techniques are exploited to develop an architecture to effectively solve the human activity recognition task. The architecture hybridizes a two-stream neural network with a multi-layer perception (MLP). The two-stream neural network is a temporal segment network (TSN) which consists of a spatial and a temporal stream. The architecture adopts Octave Convolution neural networks as frame-level feature extractors in the temporal segment network (TSN). The optical flow calculations were performed using the FlowNet 2.0 algorithm, which serves as inputs to the temporal stream. This newly developed architecture was trained and evaluated on the KTH human activity dataset. The results obtained are competitive to existing state-of-the-art results.
Success Factors in the adoption of CMMI-DEV Maturity Levels in Software Development Organizations in Baja California, Mexico

The Program for the Development of the Software Industry in Mexico has maintained as a strategy the certification of Software Development Organizations (SDOs) in the CMMIDEV model, with the aim of positioning them as competitors in the international market. However, the current state of the total number of Mexican SDOs certified and maturity level reached; demonstrate the adoption of Software Process Improvement is not an easy process. This document presents an analysis related to the success factors for the adoption of SPI initiatives in CMMI-DEV-certified SDOs in the state of Baja California and the maturity levels they have achieved. Awareness of this information is important due to the geographical location of the state, south of the border with the United States of America, and the related potential economic advantages and challenges. An exploratory study with 4 certified SDOs was carried out to determine the motivation of their certification, the benefits obtained, the assessment of ten success factors, and the impediments to obtain a successful implementation of CMMIDEV.
Multi-View Face Detection in Open Environments using Gabor Features and Neural Networks

Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard deviation, aspect ratio and phase offset) for an image is analysed, secondly, the range of Gabor filter parameter values is determined and finally, the best values for these parameters are specified. A multilayer feedforward neural network with a back-propagation algorithm is used as a classifier. The input vector is obtained by convolving the input image and a Gabor filter, with both the angle and frequency values equal to π/2. The proposed algorithm is tested on 1,484 image samples with simple and complex backgrounds. The experimental results show that the proposed detector achieves great detection accuracy, by comparing it with several popular face-detection algorithms, such as OpenCV’s Viola-Jones detector.
The Formal Logical Paradox and the Ontological Status of the Concept of “Pure (Strict) Individual”

The subject of the paper is the problem of the logical status of the concept of “pure (strict) individual”. The author states that this problem has a huge impact on various spheres of human activity. Therefore, it is necessary to consider the existing paradoxes in this area in order to understand more clearly not only peculiarities of the term “individual” usage, but also its essence as the philosophical phenomenon. At the end the author makes a conclusion that the concept of “pure (strict) individual” is paradoxical in its nature and its using in logical analysis is incorrect, therefore, the concept of “individual” cannot be uniquely determined. The author consider that such a conclusion can be applied in various fields of human activity, for example, it is incorrect logically to develop methodological approaches aimed at the development of individuality or individual work with a person.
Android puzzle game “Digitus”

Abstract In this game, player is asked to drag arrow to their pair. There are 2 modes in this game, i.e. one hand and two hands. 10 different stages for each mode. This game use multitouch features. Stage 2 to 10 have a minimum point to be able to open and play the next stage. This game has been tested by blackbox method, alpha testing and beta testing using a questionnaire through Google Form and Google drive to save Digitus game files. The results show that digitus is fascinating to be played over and over again, how to play feature can be understood easily, and attractive design.