Reviewerly/exHarmony huggingface dataset:
Supply Chain Quality Accounting Information Systems with Business Strategy Effective in Bumn Bandung Indonesia

Purpose study aims to determine Supply Chain Quality of Accounting Information Systems, with Business Strategy at BUMN in Bandung Indonesia. The function accounting information system is to provide information important to reduce uncertainty, support decisions, and encourage better, scheduling, and job control. An important business strategy in the implementation of an effective information system. This study uses descriptive methods and types of research that are verification. The type of data which is the primary using primary data uses an interval scale for measurement. Validity and reliability tests were carried out on the collected questionnaires, then ordinal-scale data in interval then using MSI (interval measurement). Data analysis was performed using SPSS. The Supply Chain Quality Accounting Information System at BUMN is not good, there is no fast and Quality of accounting information systems with business strategies effective. The accounting information system is not yet fully qualified.
THE IMPLEMENTATION OF CDIO STANDARDS IN THE CONTEXT OF "TUNING" APPROACH WHEN TRAINING TEACHERS OF FOREIGN LANGUAGES

This article presents the experience of the CDIO (Conceive — Design — Implement — Operate) educational standards implementation in the context of TUNING approach: on-going reform of the higher education; introduction of the new generation of Federal State Educational standards (FSES); development of new professional standards. It analyses the results of CDIO implementation monitoring in the system of higher education of foreign language teachers based on the experience gained during the TUNING Russia Project (2010-2019). This article provides an overview of the profiling of TUNING development methodology successfully adapted and applied for the training course for the teaching staff of the foreign languages faculties. Professional competence of a teacher can be shown in a teacher’s portfolio, that is a kind of reflection of his/her professional activity and competitiveness which leads to self-assessment and self-development.
A New Efficient Algorithm for Secure Outsourcing of Modular Exponentiations

Cloud computing enables computational resource-limited devices to economically outsource much computations to the cloud. Modular exponentiation is one of the most expensive operations in public key cryptographic protocols, and such operation may be a heavy burden for the resource-constraint devices. Previous works for secure outsourcing modular exponentiation which use one or two untrusted cloud server model or have a relatively large computational overhead, or do not support the 100% possibility for the checkability. In this letter, we propose a new efficient and verifiable algorithm for securely outsourcing modular exponentiation in the two untrusted cloud server model. The algorithm improves efficiency by generating random pairs based on EBPV generators, and the algorithm has 100% probability for the checkability while preserving the data privacy.
Leaders of the 1917 Revolution in Perception of the Contemporaries and Archetypes of Mass Consciousness: Concerning the Publication of M. V. Bryantsev’s Monograph

Leaders of the 1917 Revolution in Perception of the Contemporaries and Archetypes of Mass ConsciousneThe review of the monograph of the Russian historian M.V. Bryantsev "Lenin and his successors: Essays on ideas of the
Management Of Professional Development Of Teachers In Higher Education

The intensity of changes in various spheres of human activity defines the importance of quality requirements of modern education. The upgrade of the education system to competitiveness and efficiency is possible not only by modernizing its organizational, procedural and substantive aspects, but also to optimize the professional activities of teachers. With all the diversity of means and forms which are constantly discussed and proposed today to the teacher for professional development through additional vocational education, the main mechanism for the promotion of professional development to a qualitatively new level, is a conscious continuous education and self-education of the teacher. The aim of our study is to examine the need for and commitment to self-education and self-development of University teachers. All expectations from the professional activities of the teacher due to the fact that a professional should carry out their activities not only in operating mode as in continuous and systematic development. It promotes the need to design not only processes of functioning, but also to manage their own professional and personal development. The result of the activity of the University teacher for the management of their professional growth may be the implementation of long-term and short-term professional development goals based on the semantic of emphasis in various aspects of professional activities that are implemented in the modeling, design, constructive, informative, career guidance and communication skills. The purpose of the research is to solve the problem of optimizing the process of self-education and self-development of teachers of higher education.
Learning Query Inseparable εℒℋ Ontologies

We investigate the complexity of learning query inseparable εℒℋ ontologies in a variant of Angluin's exact learning model. Given a fixed data instance A* and a query language
Relationship between Gender Age and Extent Awareness, Knowledge about ICT Tools and Problems Faced in Access and using ICT Tools

The study was conducted in Azamgarh district of eastern Uttar Pradesh; it included two villages (HirnaiGullygarh and Khalishpur), one medical college and one block (Bilariyaganj Block). A total of 150 respondents including 60 farmers (30 male and 30 female) 70 students (35 male and 35 female) and 20 employees (10 male and 10 female) were selected for the study from two villages, two colleges and one block respectively. The male young age group, 42.66 per cent have high awareness and knowledge about ICT tools followed by 16 per cent medium and 8 per cent low awareness and knowledge. Similarly, in male middle age group, 14.66 per cent have high awareness and knowledge about ICT tools followed by 5.33 per cent medium and 4 per cent low awareness and knowledge. Further, in male old age group 5.33 per cent have high awareness and knowledge about ICT tools followed by 2.66 per cent medium and 1.33 per cent low awareness and knowledge. In female young age group, 40 percentage high awareness and knowledge about ICT tools followed by 14.66 per cent medium and 12 per cent low awareness and knowledge. Similarly, in female middle age group, 12 per cent have high awareness and knowledge about ICT tools followed by 5.33 per cent medium and 6.66 per cent low awareness and knowledge. Further, in female old age group 4 per cent have high awareness and knowledge about ICT Tools followed by 4 per cent medium and 1.33 per cent low awareness and knowledge. That the young age group, have high extent of awareness and knowledge about of ICT tools for both male and female but percentage of male (42.66%) is comparatively more than female (40%). Therefore, it can be concluded that female were facing more problems in accessibility and use of ICT tools in comparison to male.
EFL TEACHERS TRAINING IN PAVLO TYCHYNA UMAN STATE PEDAGOGICAL UNIVERSITY: METHODOLOGICAL ASPECT

The article describes the peculiarities of EFL teacher training in Pavlo Tychyna Uman State Pedagogical University which is done within the framework of new PRESETT Curriculum on Methodology designed in context of ‘New Generation School Teachers’ joint project, initiated by the Ministry of Education and Science, Ukraine and the British Council, Ukraine. The article highlights the innovative character of the Curriculum and provides its detailed analysis in terms of content, structure, modes of teaching and learning, assessment specifications. The content of the new PRESETT Curriculum on Methodology is described in correlation with the competencies students will get in the result of their learning a particular module. Thus, demonstrating its skill-oriented character and correspondence to the requirements of Ukrainian education reform, the core idea of which is acquiring skills and abilities to obtain knowledge independently and apply it in practice. The article also specifies the way school experience is organized and accentuates its role in EFL teacher training. Such important aspects of the Methodology course as modes of teaching and learning and assessment specifications are dealt with in the article. The effectiveness of the PRESETT Curriculum in EFL teacher training is evaluated by means of survey and focus group discussion where the participants were methodology teachers and students of Pavlo Tychyna Uman State Pedagogical University. The results of the survey and focus group discussion are presented in the article.
RANCANG BANGUN DAN IMPLEMENTASI MEDIA PEMBELAJARAN MATEMATIKA BERBASIS LECTORAINSPIRE DENGAN PENDEKATAN SAINTIFIK

The idea of integrating Lectora Inspire in the presentation of learning medium with a scientific approach provided a new nuance in mathematics learning in the application of the 2013 Curriculum.Lectora Inspire is an aid software that has been integrated with various tools needed to create multimedia content that is interactive with three main features, namely: 1) camtasia for lectora, (2) snagit for lectora, and (3) flypaper for lectora, so that it is suitable in supporting the making of ICT-based learning medium with a scientific approach. To support this innovation a development research was conducted to make mathematics learning medium based on lectora inspire with a scientific approach to class VIII on Coordinate System material. The development of learning medium in this study follows the procedure for product development of the ADDIE Model (analysis, design, develop, implementation and evaluation). The data analysis technique used is the technique of data analysis of qualitative and quantitative descriptive. Through the analysis and design stages, the design of the lectora inspire based learning medium has been obtained with a scientific approach to the Coordinate System material, and then the compiled design has been implemented into a learning medium that has been validated by experts at the develop stage. The results of expert validation state that the learning medium developed are categorized as very valid with little improvement, and are ready to be tested limited to the implementation stage.
Semantic Attachments for HTN Planning

Hierarchical Task Networks (HTN) planning uses a decomposition process guided by domain knowledge to guide search towards a planning task. While many HTN planners allow calls to external processes (e.g. to a simulator interface) during the decomposition process, this is a computationally expensive process, so planner implementations often use such calls in an ad-hoc way using very specialized domain knowledge to limit the number of calls. Conversely, the classical planners that are capable of using external calls (often called semantic attachments) during planning are limited to generating a fixed number of ground operators at problem grounding time. We formalize Semantic Attachments for HTN planning using semi coroutines, allowing such procedurally defined predicates to link the planning process to custom unifications outside of the planner, such as numerical results from a robotics simulator. The resulting planner then uses such coroutines as part of its backtracking mechanism to search through parallel dimensions of the state-space (e.g. through numeric variables). We show empirically that our planner outperforms the state-of-the-art numeric planners in a number of domains using minimal extra domain knowledge.
UMMS: Efficient Superpixel Segmentation Driven by a Mixture of Spatially Constrained Uniform Distribution

A novel superpixel segmentation approach driven by uniform mixture model with spatially constrained (UMMS) is proposed. Under this algorithm, each observation, i.e. pixel is first represented as a five-dimensional vector which consists of colour in CLELAB space and position information. And then, we define a new uniform distribution through adding pixel position, so that this distribution can describe each pixel in input image. Applied weighted 1-Norm to difference between pixels and mean to control the compactness of superpixel. In addition, an effective parameter estimation scheme is introduced to reduce computational complexity. Specifically, the invariant prior probability and parameter range restrict the locality of superpixels, and the robust mean optimization technique ensures the accuracy of superpixel boundaries. Finally, each defined uniform distribution is associated with a superpixel and the proposed UMMS successfully implements superpixel segmentation. The experiments on BSDS500 dataset verify that UMMS outperforms most of the state-of-the-art approaches in terms of segmentation accuracy, regularity, and rapidity.
On Swap Convexity of Voting Rules

Obraztsova et al. (2013) have recently proposed an intriguing convexity axiom for voting rules. This axiom imposes conditions on the shape of the sets of elections with a given candidate as a winner. However, this new axiom is both too weak and too strong: it is too weak because it defines a set to be convex if for any two elements of the set some shortest path between them lies within the set, whereas the standard definition of convexity requires all shortest paths between two elements to lie within the set, and it is too strong because common voting rules do not satisfy this axiom. In this paper, we (1) propose several families of voting rules that are convex in the sense of Obraztsova et al.; (2) put forward a weaker notion of convexity that is satisfied by most common voting rules; (3) prove impossibility results for a variant of this definition that considers all, rather than some shortest paths.
Indonesia’s Public Application Programming Interface (API)

&lt;p class="JGI-AbstractIsi"&gt;Indonesia places the fifth position of the most internet users in the world. Consequently, data transaction through HTTP protocol saw an increase. An open API can facilitate Indonesia's users to access data and build application through HTTP protocol. In this paper, 38 open APIs were investigated and classified by using five criteria, namely technology, authentication, scope, source, and approval request. In general, the open APIs in Indonesia employ RESTful as a web service and JSON format as data format. In term of authentication, API key is a common method in most of open APIs.&lt;/p&gt;
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation

Feature selection is an important tool to deal with high dimensional data. In unsupervised case, many popular algorithms aim at maintaining the structure of the original data. In this paper, we propose a simple and effective feature selection algorithm to enhance sample similarity preservation through a new perspective, topology preservation, which is represented by persistent diagrams from the context of computational topology. This method is designed upon a unified feature selection framework called IVFS, which is inspired by random subset method. The scheme is flexible and can handle cases where the problem is analytically intractable. The proposed algorithm is able to well preserve the pairwise distances, as well as topological patterns, of the full data. We demonstrate that our algorithm can provide satisfactory performance under a sharp sub-sampling rate, which supports efficient implementation of our proposed method to large scale datasets. Extensive experiments validate the effectiveness of the proposed feature selection scheme.
A Survey of Random Forest Pruning Techniques

Random Forest is an ensemble machine learning method developed by Leo Breiman in 2001.Since then, it has been considered the state-of-the-art solution in machine learning applications.Compared to the other ensemble methods, random forests exhibit superior predictive performance.However, empirical and statistical studies prove that the random forest algorithm generates unnecessarily large number of base decision trees.This may cost high computational efficiency, predictive time, and occasional decrease in effectiveness.In this paper, Authors survey existing random forest pruning techniques and compare the performance between them.The research revolves around both the static and dynamic pruning technique and analyses the scope of improving the performance of random forest by techniques including generating diverse and accurate decision trees, selecting high performance subset of decision trees, genetic algorithms and other state of art methods, among others.
Leveraging WebAssembly for Numerical JavaScript Code Virtualization

Code obfuscation built upon code virtualization technology is one of the viable means for protecting sensitive algorithms and data against code reverse engineering attacks. Code virtualization has been successfully applied to programming languages like C, C++, and Java. However, it remains an outstanding challenge to apply this promising technique to JavaScript, a popular web programming language. This is primarily due to the open visibility of JavaScript code and the expensive runtime overhead associated with code virtualization. This paper presents JSPro, a novel code virtualization system for JavaScript. JSPro is the first JavaScript code obfuscation tool that builds upon the emerging WebAssembly language standard. It is designed to provide more secure code protection but without incurring a significant runtime penalty, explicitly targeting numerical JavaScript kernels. We achieve this by first automatically translating the target JavaScript code into WebAssembly and then performing code obfuscation on the compiled WebAssembly binary. Our design has two advantages over existing solutions: (1) it increases the code reverse entering complexity by implementing code obfuscation at a lower binary level and (2) it significantly reduces the performance impact of code virtualization over the native JavaScript code by using the performance-tuned WebAssembly language. We evaluate JSPro on a set of numerical JavaScript algorithms widely used in many applications. To test the performance, we apply JSPro to four mainstream web browsers running on three distinct mobile devices. Compared to state-of-the-art JavaScript obfuscation tools, JSPro not only provides stronger protection but also reduces the runtime overhead by at least 15% (up to 38.2%) and the code size by 28.2% on average.
DESIGN INFORMATION SYSTEM STOCK INVENTORY TO MANAGE DATA OF GOODS (Case Study: PT Monier)

Application of information system on the inventory will provide many benefits for the company in developing company in order to improve the company's performance become more effective and efficient. This research was conducted at manufacturing companies, to know overall about inventory items in the company. The purpose of this research is to find out the effectiveness of the inventory as a resource physical economy that needs to be held and maintained in order to support the process booking goods and sales in progress PT Monier. PT Monier is as a company manufacturers concrete roofing materials with the production system where the process for creating objects with cross-section of fixed. The methods of analysis used is descriptive data analysis method. Engineering data collection with do the observations to the company, conducting interviews, and route the study library with books, the literary, the materials gained during lectures relevant to the problems examined. Research results shows that the control of inventory items It often happens booking of the goods to the supplier in excess inventory and the shortage of supplies. Due to the lack of regard for the State of inventory items. Inventory data input errors often occur more than once for similar goods give rise to errors in reporting. Then the author here attempted to analyze the problems against information systems inventory items and to find solutions to the fore of the existing problems by fixing a system that is less than optimal.&#x0D; Keywords : Information Systems, Effectiveness, Inventory Items
Monolingual Transfer Learning via Bilingual Translators for Style-Sensitive Paraphrase Generation

We tackle the low-resource problem in style transfer by employing transfer learning that utilizes abundantly available raw corpora. Our method consists of two steps: pre-training learns to generate a semantically equivalent sentence with an input assured grammaticality, and fine-tuning learns to add a desired style. Pre-training has two options, auto-encoding and machine translation based methods. Pre-training based on AutoEncoder is a simple way to learn these from a raw corpus. If machine translators are available, the model can learn more diverse paraphrasing via roundtrip translation. After these, fine-tuning achieves high-quality paraphrase generation even in situations where only 1k sentence pairs of the parallel corpus for style transfer is available. Experimental results of formality style transfer indicated the effectiveness of both pre-training methods and the method based on roundtrip translation achieves state-of-the-art performance.
Assessment of a method for usability testing by determining usability of the online learning platform

Today many products are designed to be reasonably easy to use so, in addition to usefulness, product usability is of great importance. Usability means simply using or simply learning to use a tool or device. In software engineering, usability is the degree to which certain users can effectively use software to achieve their goals in the context of use. Usability assessment involves measurement methods, such as analyzing consumer needs and examining perceptions of product efficiency and product attractiveness. In human-computer interaction, studying usability means the analysis of attractiveness and clarity of an application which is designed to interact with a computer program or web site. Usability takes into account both user satisfaction as well as the usability and quality of the component under study, while striving to improve the user experience through iterative product design. The basic problem of the research project was the pilot assessment of the suitability of our own method of testing the usability of the Sakai online learning platform in integration with the BigBlueButton conference call program. The article presents the most important results of assessing our own method of testing the usability of the learning platform on groups of students and lecturers participating in the e-learning process and project (CPK) testers. The testing was performed on the basis of the evaluation of the test subjects' introspective insight into their own expression of emotional reactions by means of a questionnaire and analysis of mimics, gestures and proxemics from the videos of the test subjects by the testers. The statistical significance of the differences between the groups was performed by Kullback 2Ȋ test of the independence hypothesis.