Reviewerly/exHarmony huggingface dataset:
Experimental Study on Fragmentation Behavior of Specimen with Rockbolts

The effect of rockbolt density on fractured specimens and the distribution law of fragments were studied using the fractal method. The results show that with the increase of rockbolt density, the strength of specimens is improved. Its degree of fragmentation is increased, but the average size of fragments is decreased. The fragmentation and surface fractal dimensions are increased, their difference value is 1 in theory, but the value is slightly less than 1 in practical application due to the uncertain factors such as anisotropy of specimen. There is a positive correlation between the deformation of surrounding rock and its fractal dimension. The surface fractal dimension of surrounding rock can give a quantitative description of its degree of fragmentation and can give a comprehensive reflection to the roof stability. The support mechanism of rockblots can be understood as improving the probability of refragmentation of fragments, making its distribution gradation close to the optimal one with minimum porosity, thus reducing the deformation of surrounding rock.
READING PORTFOLIO AS A SUPPLEMENTARY ACTIVITY TO LEVERAGE STUDENTS’ READING COMPETENCY

Reading as one of the skills constructing English competency has a special portion in the curriculum of English studies programs at higher education institutions. The prevalent purpose of reading classes is to enable students to grasp knowledge from any type of text written in English. This skill could be achieved through learning a series of techniques and strategies in reading, and most importantly extensive reading activities. However, the fact that the class weights as much as 2 credits (SKS) does not give sufficient training time to achieve the maximum target. Hence, an out-of-class activity should be imposed, such as reading portfolio. This paper seeks to address the criteria of a good reading portfolio, as well as the strengths and weaknesses of this supplementary reading activity given to the students of the English Education program of IAIN Purwokerto. The data are collected through documenting the findings of previous researches on the criteria of a good reading portfolio, interviewing student-sample, and observing the process of reading portfolio given to the students of IAIN Purwokerto. The results showed that a reading portfolio should contain the purpose of the course, the text liked and picked by the students, clear scoring criteria, and continuous evaluation. The strengths of reading portfolio are evoking students’ interest for reading, instilling reading habit, and promoting learning autonomy and self-evaluation, the weaknesses are lack of resources, complex vocabulary and structure, and less motivation.
Penajaman Kontras Citra Fotografi Dengan Menggunakan Metode Gram-Schmidt

Camera or photo equipment is used by every user both individuals and agencies to get the information needed in a way that is easier and faster to meet all needs and assist activities in solving problems related to requiring computer assistance. Photographic imagery is a two-dimensional image that is produced from a continuous two-dimensional analog image into a discrete image through a sampling process. Analog images are divided into N rows and M columns so that they become discrete images. Crosses between certain rows and columns are called pixels. An example is the image / discrete point on row n and column m is called pixel. By increasing the contrast of the image in a photographic image can make the quality of the image contrast even better with the gram-schmidt method.
Biomimetic Antigravity Water Transport and Remote Harvesting Powered by Sunlight (Global Challenges 11/2020)

Water transport against the force of gravity is necessary for industry, agriculture, environmental engineering, and daily life, which consumes electricity or other forms of fossil-based energy. Inspired by trees, an artificial trunk-leaf device is reported in article number 2000043 by Chun Li, Jiayin Yuan, Liangti Qu and co-workers for autonomous bottom-up flow and remote harvesting of water powered by sunlight.
THE IMPLEMENTATION OF CHARACTER EDUCATION IN ELECTRONIC LEARNING (E-LEARNING) USING GOOGLE CLASSROOM MEDIA OF STKIP PGRI SUMATERA BARAT

This study discusses how the application of character education in electronic learning (Elearning).Distance education is currently being carried out due to the COVID-19 pandemic.The media used in this research is learning media with google classroom.This research is a descriptive study, the instruments used in this study are observation sheets, questionnaire sheets, and test sheets.The character instilled in students here is the responsibility, courtesy, respect for other people's opinions, honest and independent.The object of this research is the students of the STKIP PGRI West Sumatra BP 2018 economic education study program with classes D, E, and F, totaling 65 people in the economic learning outcome assessment course.The application of character education is very influential in its application in the learning process because in every learning norm values can be instilled in each individual, even though the implementation of this learning uses distance learning (pjj), the essence of learning is from an individual process to become better.With the use of Google Classroom learning media that researchers can apply character education to students, and get good results Jel Classification
PENGARUH KEMAMPUAN TEKNIK PERSONAL DAN PARTISIPASI PEMAKAI SISTEM INFORMASI TERHADAP KINERJA SISTEM INFORMASI AKUNTANSI PADA ULP PLN WILAYAH BANJARMASIN

Abstract,             The purpose of this study is to test empirically the effect of personal technical abilities and the participation of users of information systems on the performance of accounting information systems at ULP PLN Banjarmasin region.             The method used is a survey method with a sample size of 67 employees who became respondents. The test tool used with the SPSS Version 22.00 for Windows program.              The results showed that H1 was rejected with a significant value of 0.276, this is because the respondents still did not have the ability to use the system. The results of the research H2 were accepted with a significant value of 0.000, this is because the respondents felt that they participated in running the information system that was built. Meanwhile, the proposed H3 is accepted with a significant value of 0.000. This research concludes that H1 is accepted and H2 is accepted, which means that H2 affects the performance of the accounting information system at the ULP PLN in Banjarmasin, while simultaneously H3 is accepted, which means that all variables have an effect on the performance of the accounting information system.
인공지능(AI) 시대의 도래와 법제도의 방향에 관한 논의 - 독일의 인공지능 정책을 중심으로 -

Artificial intelligence is gradually moving away from the field of research and is being used throughout everyday life, including self-driving, chatbot, biometric recognition, smart home, and medical devices. In addition, the utilization and application of big data is affecting various fields such as society, economy, politics, and law. Already in major advanced countries, discussions have been held to adjust the current legal system for the protection of data protection and privacy in telecommunications, industry, medical and financial sectors, the risk of discrimination by artificial intelligence, the issue of responsibility for artificial intelligence systems, and the establishment of ethical and artificial intelligence policy systems for artificial intelligence. Meanwhile, Germany has developed a high level of artificial intelligence research infrastructure (Infra) in connection with the federal government, state governments, research institutes, industries, and universities, and has developed widely in social, economic, and industrial sectors to make useful use of the benefits and convenience that artificial intelligence technology will bring. On the other hand, the legal system is being reviewed to cope with changes that will occur in various fields such as society, ethics, legal system, and culture due to the emergence of artificial intelligence technology and to prepare for the risks posed by artificial intelligence. First of all, based on the ethics needed in a series of processes such as designing, manufacturing, and utilizing artificial intelligence through technical standardization, and academic dialogue such as social, economic, and cultural sectors, the expansion of convergence on artificial intelligence''s social impact, future effects by technology, and discussions on designing artificial intelligence to prevent artificial intelligence from threatening human safety.In order to establish a legal system that can utilize artificial intelligence technology without conflict with existing social values and legal systems, this school intended to provide a forum for discussion on the direction of artificial intelligence policy in Korea, although it is insufficient.
Modeling visual search in naturalistic virtual reality environments

Visual search is a ubiquitous human behavior and canonical example of selectively sampling sensory information to attain a goal. Previous research has studied optimality in visual search with artificial laboratory tasks (Najemnik and Geisler, 2005; Yang et al. 2016). To understand how people search in naturalistic environments, we conducted a study of visual search in virtual reality. Participants (N=21) viewed scenes generated with the Unity game engine through a head-mounted display equipped with an eye-tracker. On each of 300 trials, participants were shown a target object and teleported into a virtual cluttered room where they searched for the item from a fixed viewpoint. They had 8 seconds to identify the target object among 60-100 distractors. Participants had a 76% success rate of finding the target with a median response time on successful trials of 2.89s (IQR: 1.99-4.44s). To understand what features drive people’s search, we annotated gaze samples with semantic scene information such as the identity, shape, color, and texture of the object at the center of gaze. Concretely, we used the object asset (3D mesh and texture) to compute low-dimensional shape and color representations of each object. We found that people’s gaze is primarily directed to task-relevant objects (i.e. targets or distractors), and that the distractors that people look at are close in representational space to the target. Furthermore, this distance decreased over time, suggesting that representational similarity guides eye movements. We discuss these results in the context of a meta-level Markov Decision Process model (Callaway et al. 2018), which frames visual search as optimal information sampling under computational constraints.
Influence of media technologies on the formation of future primary school teachers’ readiness for professional communication in a foreign language

International scientific and practical conference «Current trends and factors of the development of pedagogical and psychological sciences in Ukraine and EU countries» : conference proceedings, September 25–26, 2020. Lublin : Izdevnieciba «Baltija Publishing», 2020. 516 pages.
A Hyperledger Model for the Deployment of Smart Contracts in a Public Organization in Ecuador

Were analyzed the deployment of a Smart Contract in a Public Organization in Ecuador, also were analyzed a current problem in the Ecuadoŕs Public Sector, like is the inefficient handling of resources. The objective of this research is to define a model Hyperledger based Blockchain solution. For this research the method selected to this analysis was the method deductive. As results we have a simplified model Hyperledger of the implementation of a Smart Contract, A mathematical model to prove the efficiency of the using Smart Contracts in the processes of hiring in the organizations publics and a Prototype of a generic algorithm for the deployment of a Smart Contract by means of based Blockchain solution. After the analysis it was concluded that the implementation of Smart Contracts both in the Ecuadorians sector public and in any other is a benefit to the organizations.
On BF-algebras in connection with m-polar fuzzy set

초록·키워드 목차 오류제보하기 BF-대수에서의 m-polar 퍼지 (normal) subalgebra 을 정의하고 그와 관련된 성질을 연구한다. m-polar 퍼지subalgebra와 m-polar퍼지 normal subalgebra의 관계를 조사한다. BF-대수에서 m-polar 퍼지 normal subalgebra을 이용하여 quotient BF-대수를 만든다. #m-polar 퍼지(normal) subalgebra #BF-대수 #m-polar fuzzy (normal) subalgebra #BF-algebra 요약Abstract1. Introduction2. Preliminaries3. m-polar fuzzy subalgebras4. Quotient BF-algebras induces by m-polar fuzzy sets5. ConclusionsReferences
Cybercrime Prevention: Comparative Analysis Of Criminal Laws Of Azerbaijan, Russian And Armenia

Crime in the IT field has a stable trend for growth and it concerns the essential spheres of activities of individual countries as well as the global community as a whole.Due to that, improving the legislation to prevent and counteract this type of criminal infringements is a pressing issue.Analysis, logical and ratherlegal analysis revealed that there are significant differences in the criminal legislations of Azerbaijan, Russia and Armenia in the area of counteracting the computer crime.Among the differences are: differing lists of computer-related crimes, differing content of similarly named components of crime, lack of legal interpretation of some terms that are present in articles; specific features in qualification of certain crimes; certain inconformity between the criminal law of the countries and the model criminal law of the Commonwealth of Independent States' participants.Criminal statistics data that the authors give for cybercrime in Russia for the period from 2016 to 2018 support the conclusions of certain problems in this field of law enforcement.Synthesis, generalization and analogy used as cognitive methods allowed revealing a number of similar as well as specific characteristics of criminal laws of Azerbaijan, Russia and Armenia; some of the differences are quite significant.Some of these differences are provided with the authors' evaluation that will allow legislator to improve the criminal legislation in question in the future.Materials of this paper may be useful to legislators, legal experts, law enforcement officers, criminal judges, professors and students of law.
OFFLINE INDIAN CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE (SVM) CLASSIFIER

This paper present Offline Indian Character Recognition using SVM classifier. In the sense of Indian character various script are comprises like Devanagari, Gurmukhi etc. This paper carried work on Devanagari script which include several language like Hindi, Bengali, etc which is also discussed in next section of this paper. In this research report an experimental summary on offline handwritten Devanagari character recognition using different feature extraction techniques like image centroid zone (ICZ), zone centroid zone (ZCZ) and combination of both methods namely Image centroid zone as well as zone centroid zone (ICZ and ZCZ) .After execution of the feature extraction techniques, image produced several feature vector, then different feature vectors are passed into support vector machine SVM Classifier for recognition. Different methods produced several recognition accuracy from ICZ , ZCZ and hybrid method are 77.51%, 98.54% and 77.71% accordingly.
THE EFFECTIVENESS OF USING ANAGRAM GAMES TO IMPROVE THE VOCABULARY MASTERY OF THE EIGHTH YEAR STUDENTS OF SMP BHAKTI MALANG

The aim of the research is to know the English vocabulary mastery of the students of SMP Bhakti Malang taught by using anagram games, therefore this research used classroom action research (CAR). This research uses individual CAR that focuses only in one classroom. In addition, the researcher acts as the practitioner that conducts the teaching and learning activity by using Anagram game and as an observer that monitored the teacher’s teaching and also the process of teaching. The subjects of the study are eighth grades of SMP Bhakti Malang in second semester at academic year 2019-2020 class 8A is chosen because their English achievement has not provided satisfactory result. The result shows that there was an improvement of the students’ mean score from preliminary test 56.66 (under the minimum passing grade) increase to 74.25 (pass the minimum passing grade) in test 1 and up to 84.44 in test 2. The standard deviation which decreased from 12.50 in test 1 to 8.34 in test 2 indicates that the students’ score close around the mean score which have passed the minimum passing grade.The success of the Anagram strategy in improving the students’ vocabulary is also supported by the creativity of the teacher in designing appropriate media and material, designing the lesson plan, varying classroom activities and building the cooperation among the students.
Partial Differential Equations and Infinite Dimensional Dynamic Systems in Marine Fluid Dynamics

Cheng, X., 2020. Partial differential equations and infinite dimensional dynamic systems in marine fluid dynamics. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 363-366. Coconut Creek (Florida), ISSN 0749-0208.In the analysis of massive hydrodynamics, we use the form of partial differential equations, which can conduct a comprehensive analysis of its dynamic system and obtain the corresponding circulation pattern of ocean currents, which can be more effective for some hydrodynamics. Analysis, in marine fluid mechanics, it includes a variety of hydrodynamic forces such as inertia viscosity, we can analyze and study them separately to get a more complete and systematic hydrodynamic research program. Fluids generally include liquids and gases, which are closely related to human daily life and social development. Fluid mechanics has typical physical properties and through practice can better deepen the understanding of the subject. Therefore, in the teaching of modern fluid mechanics, the experiment of fluid mechanics has become a typical supporting course in the course of fluid mechanics.
Collection development in the digital age

In this article, an attempt has been made to explain the importance of collection development. Whenever collection development is done in the library, different types of factors are used in this process, especially keeping in mind the interests of the readers, their interest. Different types of policies, techniques, principles are used during collection development.
Sand Painting Teaching and Young Children’s Creativity

Sand painting is a popular and unique art form. Sand painting is easy to learn without having deep painting foundation and skills, this characteristic makes it easy for young children to accept a new education method that combines sand painting activities with young children’s teaching activities. The use of sand as a painting tool allows young children to create spontaneously, allowing them to express their own world freely in the kingdom of sand, training their practical skills and creativity, and let them grow up in joys. Therefore, this article talks about the benefits of the new teaching method produced by the combination of sand painting activities and early childhood education which will not only benefit the growth of young children, but also contribute to the education in China.
An Overview of the Digital Identity Lifecycle

A digital identity goes through several stages during its existence, from creation, through various modifications in response to different events, to inactivation or deletion. This article walks through the types of digital identities that must be managed, along with the various stages of a digital identity, describing the typical beginning-to-end lifecycle within or across multiple systems. The lifecycles outlined in this document are not meant to be comprehensive but should be applicable over most B2B, B2C, and B2E use cases.
재무제표 주석의 텍스트 분석 통한 재무 비율 예측 향상 연구

Since the adoption of K-IFRS(Korean International Financial Reporting Standards), the amount of financial footnotes has been increased. However, due to the stereotypical phrase and the lack of conciseness, deriving the core information from footnotes is not really easy yet. To propose a solution for this problem, this study tried financial footnote analysis for financial ratio predictions based on text-mining techniques. Using the financial statements data from 2013 to 2018, we tried to predict the earning per share (EPS) of the following quarter. We found that measured prediction errors were significantly reduced when text-mined footnotes data were jointly used. We believe this result came from the fact that discretionary financial figures, which were hardly predicted with quantitative financial data, were more correlated with footnotes texts.
A Hybrid One-Class Topology for Non-convex Sets

The technological advances in the industrial sector have emphasized the importance of anomaly detection, which represents a critical task to a achieve a systems optimization. In this context, many different outlier detection techniques have been developed. The boundary methods have presented successfully results in many one-class problems. Specifically convex hull approximations have offered good performance. However, this approach leads to misclassification when it is applied to non-convex sets. This paper proposes a hybrid one-class topology based on an approximate convex hull approach to solve the problem of anomaly detection over non-convex sets. The proposal is assessed and validated with successful results.
Context-Aware Temperature for Language Modeling

Current practices to apply temperature scaling assume either a fixed, or a manually-crafted dynamically changing schedule. However, our studies indicate that the individual optimal trajectory for each class can change with the context. To this end, we propose context-aware temperature, a generalized approach to provide an individual optimal temperature trajectory over the context for each vocabulary, while allowing the temperature to be learned along with the remaining model parameters during training. Experiment results confirm that the proposed method significantly improves state-of-the-art language models, achieving a perplexity of 19.90 on Penn Treebank, 33.88 on WikiText-2, and 4.7 on WikiText-103.
Deep Fuzzy Models and the Realm of Applications

The recent days have seen huge developments in deep learning with specific reference to artificial neural networks (ANN). However, ANNs cannot address when data is impregnated with ambiguity, uncertainty of non statistical kind, vagueness, and noise. These factors are detrimental to efficient learning of deep networks. It is exactly here that the role of deep fuzzy models comes to play. These models can effectively capture the mentioned vagaries of data and are the best to accommodate humanistic notions, approximations, and tolerance to imprecision. The fruitions of the capabilities of deep fuzzy notions has led to development of models. In this direction, this paper makes an overall view of ongoing research work related to deep fuzzy models in the individual capacity and hybridized models. This article explores application of the concept in the realm of data processing, fault diagnosis, image processing, Robotics, vulnerability detection systems, and many more. It is hoped that this article of review will facilitate the novice researchers who have set forth in this direction to apply deep fuzzy concepts to achieve high accuracy in conventional as well as widely used learning tasks such as object recognition, computer vision, and in certain AI applications within a short time.