Reviewerly/exHarmony huggingface dataset:
Strategic alignment maturity criteria as a catalyst for enhancing operational excellence in Jordanian industrial companies

High convergence level of strategic alignment between business and information technology helps companies enhance operational excellence. This research aims to identify strategic alignment maturity criteria level and their impacts on operational excellence in Jordanian industrial companies. The population of the study consists of all managers at top and middle management and a purposive sample is used to answer questionnaire items. In this survey, 288 valid responses are collected for analysis using SPSS (20) and smart PLS "V. 3". The study reveals that there is a significantly positive impact of strategic alignment maturity criteria (communication, competency-value Measurement, governance, partnership, scope &amp; architecture and skills) on operational excellence. The most maturity criteria have a mid-level of maturity except scope &amp; architecture and competency-value measurement criteria which maintain a low level. Thus, the study concluded that the researched companies have to recognize the business value of information technology (IT) investment and harmonizing IT architecture with business structure.
Voluminis: Mobile Application for Learning Mathematics in Geometry with Augmented Reality and Gamification

The teaching-learning process that requires the manipulation or visualization of objects has some limitations. Augmented reality and mobile devices applied to videogames make it possible to solve these deficiencies by offering the possibility of interacting with virtual objects in a three-dimensional space. The objective of this article is to analyze the effects and motivation of gamification and augmented reality using Voluminis, in sixth-grade students of the mathematics subject, in a public school. This paper's methodology are as follows: architecture of Voluminis, design and implementation of the geometry game prototype, and this was to applied is the cuasi-experimental design with 21 Peruvian 6th-grade school children. The results show that the proposed learning scheme improves learning motivation and the teaching of spatial geometry.
Designing a Visual Novel Game in Nusantara Folklore 'The Origin of Lake Toba' using Renpy Visual Novel Engine

&lt;p align="justify"&gt;Public knows about the folklore of the archipelago in Indonesia through stories told directly by parents and their families, passed down orally from parents to children and their ancestors to future generations. Likewise, the folklore of the origin of Lake Toba. The folklore of the archipelago seems to be slowly disappearing because it is only passed down orally and is less desirable and does not rule out being forgotten and extinct. This is what makes the writer decide to conduct research on the folklore of the archipelago through the media of games, namely visual novels with the story of the origin of Lake Toba as the object. The researcher wants to make an application in the form of animation with the help of a program that wants to be enjoyed by many people and can also be used as a learning medium.The game application that will be produced will later be made using the Ren'Py Novel Visual Engine application and the research method that the author will use is an extreme programming as a management system with the following stages: Exploration Phase, Planning Phase, Iteration Phase, Production Phase, Maintenance Phase and Final Publication Stage ( Death Phase), with the existing tools can make the application of the story of the origin of Lake Toba well, then for future research to make it in a 3-dimension version&lt;/p&gt;
Explanation Regeneration via Multi-Hop ILP Inference over Knowledge Base

Textgraphs 2020 Workshop organized a shared task on 'Explanation Regeneration' 1 that required reconstructing gold explanations for elementary science questions.This work describes our submission to the task which is based on multiple components: a BERT baseline ranking, an Integer Linear Program (ILP) based re-scoring and a regression model for re-ranking the explanation facts.Our system achieved a Mean Average Precision score of 0.
Fixed Viewpoint Mirror Surface Reconstruction Under an Uncalibrated Camera

This paper addresses the problem of mirror surface reconstruction, and proposes a solution based on observing the reflections of a moving reference plane on the mirror surface. Unlike previous approaches which require tedious calibration, our method can recover the camera intrinsics, the poses of the reference plane, as well as the mirror surface from the observed reflections of the reference plane under at least three unknown distinct poses. We first show that the 3D poses of the reference plane can be estimated from the reflection correspondences established between the images and the reference plane. We then form a bunch of 3D lines from the reflection correspondences, and derive an analytical solution to recover the line projection matrix. We transform the line projection matrix to its equivalent camera projection matrix, and propose a cross-ratio based formulation to optimize the camera projection matrix by minimizing reprojection errors. The mirror surface is then reconstructed based on the optimized cross-ratio constraint. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and accuracy of our method.
Kemampuan Siswa Kelas V SD Negeri 6 OKU dalam Meringkas Wacana dengan Menggunakan Model Cooperative Integrated Reading and Composition (CIRC)

The purpose of this study was to explain the ability of grade V students of SD Negeri 6 OKU in summarizing discourse using the Cooperative Integrated Reading and Composition (CIRC) learning model. The method used in this research is descriptive method. The techniques used are observation and test techniques. The results showed that the fifth grade students of SD Negeri 6 OKU were able to summarize discourse using the Cooperative Integrated Reading and Composition (CIRC) learning model. This is evidenced by the average value of the students' ability in summarizing discourse using the Cooperative Integrated Reading and Composition (CIRC) learning model which is 63.83% which is in accordance with the assessment indicators which are classified as sufficient. In detail, the results of this study are: suitability of the summary content is 56% (sufficient), accuracy of themes is 60.66% (sufficient), suitability of word counts is 90.66% (very good), and mechanics is 48% (poor). In addition, the results of observations in this study indicate that the teacher delivers material summarizing discourse that can be understood by students through the application of the CIRC learning model which is well done and easy to understand.
Engineering Aspect of Modern Concept of Professional Education of Artists and Designers in Academic Figure

The article studies the pedagogical process of vocational education in the field of academic drawing.The pedagogical problem of the connection of theory and practice.The need for a modern approach to the pedagogical process in the training of artists and designers, consistency with the curriculum and work programs of the disciplines.The entire volume of theoretical knowledge combined with practical knowledge in the most generated format enables the student to successfully master the basics of visual literacy.After analyzing the final certification and evaluation of students, it can be noted that the necessary theoretical information is not fully received.The main task in the development of academic drawing in higher education is an in-depth study of the lecture material and the application of visual literacy in practice.A modern conceptual approach to solving pedagogical problems of forming professional competencies at a high level in the subject "Academic drawing" is one of the topical problems of modern education in the field of fine arts and design.
The effect of psychological capital on team performance: The moderating role of leadership behavior in advertising agencies in Amman City

This research aimed at identifying the impact of psychological capital dimensions (self-efficacy, hope, optimism and resilience) on team performance at advertising agencies operating in Amman city. Moreover, the study examines the moderating role of leadership behavior on the relationship between the psychological capital and team performance. The researchers rely on descriptive and analytical approach, where the research population consists of all employees working in thirteen advertising agencies operating in Amman city. Convenience sampling technique was applied to distribute (250) questionnaires on the research sample. To analyze the research data; the researchers used a set of statistical methods including Cronbach's alpha along with a normality test, standard deviation, exploratory factor analysis, confirmatory factor analysis, multiple regression, interactive hierarchical regression and process procedures methods using SPSS-V20 and AMOS-V23. The results indicate that there was a statistically impact of psychological capital dimensions (self-efficacy, hope, optimism and resilience) on team performance in advertising agencies operating in Amman city. There was also a significant and role for leadership behavior as moderating variable between psychological capital dimensions and team performance.
Intensional datatype refinement: with application to scalable verification of pattern-match safety

The pattern-match safety problem is to verify that a given functional program will never crash due to non-exhaustive patterns in its function definitions. We present a refinement type system that can be used to solve this problem. The system extends ML-style type systems with algebraic datatypes by a limited form of structural subtyping and environment-level intersection. We describe a fully automatic, sound and complete type inference procedure for this system which, under reasonable assumptions, is worst-case linear-time in the program size. Compositionality is essential to obtaining this complexity guarantee. A prototype implementation for Haskell is able to analyse a selection of packages from the Hackage database in a few hundred milliseconds.
Uncertainty in Quantum Rule-Based Systems

This article deals with the problem of the uncertainty in rule-based systems (RBS), but from the perspective of quantum computing (QC). In this work we first remember the characteristics of Quantum Rule-Based Systems (QRBS), a concept defined in a previous article by one of the authors of this paper, and we introduce the problem of quantum uncertainty. We assume that the subjective uncertainty that affects the facts of classical RBSs can be treated as a direct consequence of the probabilistic nature of quantum mechanics (QM), and we also assume that the uncertainty associated with a given hypothesis is a consequence of the propagation of the imprecision through the inferential circuits of RBSs. This article does not intend to contribute anything new to the QM field: it is a work of artificial intelligence (AI) that uses QC techniques to solve the problem of uncertainty in RBSs. Bearing the above arguments in mind a quantum model is proposed. This model has been applied to a problem already defined by one of the authors of this work in a previous publication and which is briefly described in this article. Then the model is generalized, and it is thoroughly evaluated. The results obtained show that QC is a valid, effective and efficient method to deal with the inherent uncertainty of RBSs
Emojis as a new Visual Language in Advertising Creativity

Creativity the magical force,the foundation upon which advertising business is built. Whenever it comes to Advertising “Creativity” is the critical, most important aspect to be looked upon. Advertisers all over the world are constantly trying to find best ways to grab the attention, to appeal the largest audience possible. They are constantly looking for eye catching innovative visual elements to implement in designs. Modern communication technology has created Emojis, a new symbolic language, that became an important part of communication. And now they are being used in advertising messages targeted to Generation Z. Emojis gave them an easier way to express ideas. Advertisers are developing ads to target them based on the Emojis they use. This paper aims to look closely, explore Emojis as the world's fastest growing form of visual communication, as a new visual Advertising language in the digital age, and how it contributes in engaging&persuading Generation Z,As it is important to speak the language of your target audience. The paper presents a brief history of Emojis, studies Emoji's various characteristics, how could they be utilized successfully in Advertising creativity through looking closely on selected International Emoji inspired Ads. Finding that Emojis are the New advertising Age visual language .They are effective visual tools in the new era of advertising communication when used upon previous study of the target audience with respect to cultural differences Emojis aren’t just a trend they will stay for a while as an inspirational tool for designers. They are the next communication evolution.
Navigation in cluttered environments with feasibility guarantees

This paper addresses the navigation problem in a multi-obstacle environment and makes use of convex lifting in trajectory planning problems with anti-collision constraints. The design problem is commonly stated in the literature in terms of a constrained optimization problem over a non-convex domain. In our framework, the convex lifting approach plays an instrumental role in the partitioning of the feasible space in accordance with the distribution of obstacles and in the subsequent generation of corridors in cluttered environments. We consider an adaptation of the generic MPC (Model Predictive Control) trajectory tracking problem, aiming to guarantee the feasibility and the convergence. Simulation results and proof of concepts illustrations prove the effectiveness of the proposed approach.
Total reading skills for elementary school students through the reading questioning answering model

Reading is one aspect of language skills that affects student success in understanding various learning materials. Most students are already able to read, but not all students have good reading skill. Therefore, research related to reading skill still really needs to be done to influence students so they prefer reading activities, especially when learning in schools is less effective because of the corona 19 virus. Thus, students are expected to have positive activities when they learn from home like total reading activity. This study aims to measure the total reading skill of fifth-grade students through the Reading Questioning and Answering model. The research method used an experimental method with a pretest-posttest control group design. The research sample was the fifth-grade students who were randomly selected. This research was carried out with a home visit activity and was conducted online. The data were collected using a reading speed test and a reading comprehension test, while the data analysis used inference statistics. The results showed that the reading speed of the experimental class students was higher than the control class students. Subsequently, the reading comprehension skill of the experimental class students was higher than the control class students. Based on the research findings, the researcher concluded that the RQA Model affects the total reading skill of fifth-grade students
conflicting_bundle.py—A python module to identify problematic layers in deep neural networks

Designing neural network architectures is a challenging task and knowing which specific layers of a neural network must be adapted to improve the performance is almost a mystery. In this paper, we introduce the conflicting_bundle.py module to identify layers that decrease the accuracy of trained networks. Therefore, this software-module helps machine-learning researchers and engineers to precisely analyze and improve neural network architectures. The same software-module can also be used to automatically create improved neural network architectures.
Recovering UML2 Sequence Diagrams from Execution Traces

Reverse engineering is a proven and efficient technique for automatically generating UML2 models from object-oriented legacy systems with missing or obsolete documentation.To perform reverse engineering, two techniques are used: dynamic and static analysis.Dynamic analysis refers to collecting information when the system is running while static analysis corresponds to inspecting the source code.Dynamic analysis is preferred than static one in order to extract dynamic models that represents the behavior of a systems because of polymorphism and dynamic binding.In this paper, we present new different methodology that use Colored Petri Nets (CPNs) to recover UML2 Sequence Diagram (SD).First, it generates execution traces corresponding to the different scenarios representing the system behavior.Then, CPNs are used to model and analyze these execution traces to extract UML2 sequence diagram.Our case study illustrates the process of our approach and show that sequence diagram can be extracted with a good accuracy.
THE STUDENTS’ DIFFICULTIES IN LEARNING READING COMPREHENSION USING COOPERATIVE LEARNING THROUGH JEOPARDY GAME

English is an international language learned in Indonesia. One of the difficulties of student learning is when learning to read. They tend to read without knowing the meaning of the text they are reading. On this occasion the researcher tried to teach comprehension reading using cooperative learning through jeopardy games to increase students’ interest and ability in learning reading comprehension. In addition, researchers also want to find out what difficulties students face when learning to use jeopardy game through this jeopardy game. This research was conducted on students of class VIII E Semester 1 SMPN 1 Cililin which consists of 36 students. This research was conducted using the Classroom Action Research (CAR). From the results of the pretest and posttest, there were 20 pretest results from 36 students or 56% who succeeded in reaching the minimal completeness criteria. Whereas in the posttest there was an increase to 28 out of 36 students or 78,85% who successfully reached the minimal completeness criteria. Then it can be concluded the use of games in learning increases the ability of students in reading comprehension. However, there are some students who still find it difficult to learn to use this method because their vocabulary mastery is still lacking. Keywords: Reading Comprehension, Cooperative Learning, Jeopardy Game
Automated diagnosis of attacks in internet of things using machine learning and frequency distribution techniques

The Internet of Things (IoT) is the interconnection of things around us to make our daily process more efficient by providing more comfort and productivity. However, these connections also reveal a lot of sensitive data. Therefore, thinking about the methods of information security and coding are important as the security approaches that rely heavily on coding are not a strong match for these restricted devices. Consequently, this research aims to contribute to filling this gap, which adopts machine learning techniques to enhance network-level security in the low-power devices that use the lightweight MQTT protocol for their work. This study used a set of tools tools and, through various techniques, trained the proposed system ranging from Ensemble methods to deep learning models. The system has come to know what type of attack has occurred, which helps protect IoT devices. The log loss of the Ensemble methods is 0.44, and the accuracy of multi-class classification is 98.72% after converting the table data into an image set. The work also uses a Convolution Neural Network, which has a log loss of 0.019 and an accuracy of 99.3%. It also aims to implement these functions in IDS.
Analysis of Sequential Book Loan Data Pattern Using Generalized Sequential Pattern (GSP) Algorithm

As a center for learning and information services, STMIK Amikom Purwokerto Library is a source of learning and a source of intellectual activity that is very important for the entire academic community in supporting the achievement of the college Tridharma program. Book lending transaction data, can produce information that is important as supporting decision making when further analyzed. One useful information is that it can provide information in the form of user behavior patterns in borrowing books that are used to maintain the availability of related book stocks to be balanced. This study uses the Generalized Sequential Pattern (GSP) algorithm, which can be used to determine the behavior patterns of users in each transaction and can show relationships or associations between books, both requested simultaneously and sequentially. From the calculations that have been done, 295 frequent sequences are consisting of 3 sequence patterns that are formed from the minimum support of 0.53% or the minimum number of books borrowed, namely 2 books. Three book items have very strong linkages in book lending transactions, namely book code 6690, 2026, and 8131.
Revisiting the Factorization of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <msup> <mrow> <mi>x</mi> </mrow> <mrow> <mi>n</mi> </mrow> </msup> <mo>+</mo> <mn>1</mn> </math> over Finite Fields with Applications

The polynomial <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <msup> <mrow> <mi>x</mi> </mrow> <mrow> <mi>n</mi> </mrow> </msup> <mo>+</mo> <mn>1</mn> </math> over finite fields has been of interest due to its applications in the study of negacyclic codes over finite fields. In this paper, a rigorous treatment of the factorization of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <msup> <mrow> <mi>x</mi> </mrow> <mrow> <mi>n</mi> </mrow> </msup> <mo>+</mo> <mn>1</mn> </math> over finite fields is given as well as its applications. Explicit and recursive methods for factorizing <math xmlns="http://www.w3.org/1998/Math/MathML" id="M4"> <msup> <mrow> <mi>x</mi> </mrow> <mrow> <mi>n</mi> </mrow> </msup> <mo>+</mo> <mn>1</mn> </math> over finite fields are provided together with the enumeration formula. As applications, some families of negacyclic codes are revisited with more clear and simpler forms.