Reviewerly/exHarmony huggingface dataset:
EFFECTS OF ORGANIZATIONAL LEARNING ON PROJECT PERFORMANCE OF CONSTRUCTION FIRMS IN RWANDA, A CASE OF HYGEBAT LTD

Organizational learning is an important function for enhancing project performance because it enables firm’s personnel to acquire and utilize skills and competences through knowledge acquisition, knowledge transformation and knowledge exploitation. This study sought to examine the effects of organizational learning on the project performance in construction firms in Rwanda using the case of Hygebat Ltd. The objectives of the study were to identify the effects of knowledge acquisition analysis, knowledge transformation and knowledge exploitation on the performance of Hygebat Ltd’s construction projects. The researcher used a correlation research design to measure the significance of the relationship between organizational learning and project performance. Data was collected from 54 respondents (5project managers and 49 project staffs) using the close-ended questionnaire and personal interview guide. Respondents were selected by use of stratified and simple random sampling techniques. The validity of research instruments was determined using the content validity index while reliability was verified through the pilot-testing method. Data was analyzed through descriptive (frequency and percentage distribution tables) and inferential statistics (multiple linear regression analysis) and qualitative (use of content analysis). Findings show that all the predictor variables under organizational learning have positive but not statically significant effect on the performance of construction projects in Hygebat Ltd. This is confirmed by the regression coefficients which show that β1=.130(13%), β2=.072(7.2%) and β3=.042 (4.2%) of the positive performance outcomes of Hygebat Ltd’s construction projects are explained by KA, KT and KE respectively. However, the probability values (sig.) of p=.244&gt;0.05 for KA, p=.401&gt;0.05 for KT and p=.682&gt;0.05 for KE show that the effect that organizational learning has on project performance is not statistically significant. Therefore, the research accepts all the null hypotheses (H01, H02 and H03) in explaining the relationship between organizational learning and performance of construction projects in Hygebat Ltd. It is hoped that the study will enable engineers to improve learning and capacity development so that they improve their skills competences and project performance. Other academicians will find the study valuable in benchmarking their studies on the same subject.&#x0D; &#x0D; &#x0D;
Visualization

This chapter presents and reviews principles involved in a wide variety of visualizations, many designed for the analysis of large datasets and/or designed to support inferences from Artificial Intelligence (AI) models. It looks at diagnosing models, which employ visualization to assess whether models are appropriate; statisticians invented most of these visualizations, motivated by the need to discover whether the assumptions underlying specific models are met. Experienced data scientists know that before developing and fitting any model, it is critical to examine data visually to detect possible anomalies and to derive cues for what model or aspects of a model is appropriate for the given data. The term Exploratory Data Analysis (EDA) was invented by John Tukey, one of the most important statisticians of the twentieth century. Linking involves establishing a link between two or more visual elements.
A General Glivenko–Gödel Theorem for Nuclei

Glivenko's theorem says that, in propositional logic, classical provability of a formula entails intuitionistic provability of double negation of that formula.We generalise Glivenko's theorem from double negation to an arbitrary nucleus, from provability in a calculus to an inductively generated abstract consequence relation, and from propositional logic to any set of objects whatsoever.The resulting conservation theorem comes with precise criteria for its validity, which allow us to instantly include Gödel's counterpart for first-order predicate logic of Glivenko's theorem.The open nucleus gives us a form of the deduction theorem for positive logic, and the closed nucleus prompts a variant of the reduction from intuitionistic to minimal logic going back to Johansson.
Difference between the Time Intervals in the Special Relativistic Theory Calculated with the Aid of an Invariance Property between the Mechanical Expressions

In the relativistic mechanics, we obtain a difference between the time scale of a one-dimensional motion having a larger velocity and the time scale of a similar motion with a lower velocity.This calculation does involve usually also the differences of parameters other than time.Basing on the invariance of a pair of the mechanical parameters, it can be shown that the difference of two scales of time can be attained independently from the differences of the other physical parameters.
JOM Augmented Reality Mobile Shopping Behavior

The research aims to introduce Augmented Reality features into online shopping platforms to enhance consumer purchase behavior in online shopping platforms.Online shopping has become a common activity done by young people nowadays.More and more people choose to purchase online instead of buying at physical retail shops.This project has proposed to make online shopping item comparison more convenient and less time-consuming yet more visually for better-enhanced trust confidence.By providing augmented reality into online shopping platforms, the consumer can have a clear comparison between similar items, including price, product details, customer feedback, and review.This project is carried out in few private universities for data collection by using a mixed-method approach.The managerial and practical implication is discussed.
Web Service Performance Analysis and Research of Distributed LAMP Architecture

Abstract There are many websites on the Internet in the early stage of development, its Web service performance is not strong enough, resulting in the failure to run the system and finally the system crash. Based on this situation, in order to ensure the accurate and efficient service of the Internet website, it is necessary to analyze and study the service performance of the Web. Distributed LAMP architecture studies and analyzes the performance of Web services, which can accurately discover the performance defects and problems of Web, and research a more appropriate configuration of service performance, and the final results presented are more accurate and effective. With the deepening development of the Internet application, the website has become a key window for many people’s information sources. Through the Internet website, we can not only understand the world more comprehensively, but also learn more knowledge. Therefore, building Web services with better performance is something we should consider. In this paper, the performance of the Web server was optimized and improved through the analysis and research of the load of the Web server, and the tuning test was carried out through distributed LAMP architecture by observing the Web service’s access to users, data information maintenance and monitoring, etc.
Analisis Pengaturan Quarter-Car Active Suspension Menggunakan Neuro-Fuzzy Adaptif PID Control

Car as a vehicle has a suspension on the wheels that connect the body with the road surface. The suspension is arranged in such way as to ensure the comfort in driving even on uneven road surfaces or damaged road surfaces. Because of the changes in road surface, it is very important to make adjustments to the suspension. The car suspension is adjusted using Neuro-Fuzzy Adaptive PID Control System so that the performance of the suspension can be improved in ensuring user comfort by reducing vibrations in the car body. Improved performance can be seen in the results of the suspension setting, which can suppress the movement of the car body because of the change in road surface more than 80%.
Design and Evaluation of Escrow Scheme on Autonomous Vehicles for Overtaking Service with Ethereum

This paper proposes a design of escrow scheme with blockchain technology. The purpose of this design is to solve the problem in overtaking service [1]. To achieve the objective, we take several simulations to evaluate the performance of our design. The paper will also introduce the reason why introducing the escrow scheme into blockchain technology. And the paper will briefly discuss the advantages and disadvantages of the design.
Call For Help Detection In Emergent Situations Using Keyword Spotting And Paralinguistic Analysis

Nowadays, the safety of passengers within the enclosed public space, such as the elevator, becomes more and more important. Though the passengers can click the ”SOS” button to call the remote safety guard, the chances are that some passengers might lose their ability to stand up to click the button or it is not convenient to do so when in emergency situations. Also, people’s first reaction may be to call for help using voice instead of pressing the mayday button. Thus, we believe a speech-based system is very useful under this scenario. This work proposes a system using keyword spotting and paralinguistic analysis to detect whether the passenger calls for help in mandarin and gives real-time feedback which might provide the passenger within time help to prevent the accident. Unlike the standard keyword spotting task which is to detect the pre-defined call for help keyword ”jiu ming” in any scenario, we focus on detecting both the keyword and the paralinguistic states. The system will only be triggered when the keyword and the emergency situation such as shouting or screaming appear at the same time. To this end, we compare the performance of different methods and we find that the deep neural network-based small-footprint keyword spotting methods are effective and efficient for keyword spotting tasks under emotional scenarios.
How to Fast-Forward Learned Serials to the Inevitable and the Optimal for Scholars and Scientists

There is no conflict of interest between a trade author and a trade publisher. The trade author’s product is his text, and the trade publisher produces and sells it for him, so they can both make a fair profit. Both wish to protect their product from theft; both wish to restrict access to those who have paid for it. Contrast this with the specialised scientific and scholarly research literature: The research has 74been funded by a governmental research supporting agency or a public institution of higher learning and the results are meant to be made publicly available, especially so that other specialists can read and build further research on it. Through this cycle of research/report/research, all of humanity benefits from the fruits of learned inquiry. But because of the substantial real cost of producing print on paper in the Gutenberg era, research publication had to adopt the same economic model as trade publication: Researchers, who were not writing to sell their words, and would gladly have given them away to reach the eyes of their fellow researchers the world over, in their joint enterprise of broadening human knowledge, were forced instead to make the “Faustian Bargain” of transferring copyright to their publishers, who would then try to recover their substantial expenses plus a fair profit by selling those words as if they had been produced for trade. Research libraries the world over paid the hefty price, purchasing all the important journals so that each individual article could find its own small, scattered readership in perpetuum. This era is now potentially over: The much lower cost and much broader reach of electronic publication can free research from the counterproductive access boundaries imposed by the trade model. Research grants can now easily afford to cover the minimal marginal cost of electronic publication, making the research literature free for all, as it was always meant to be, with the growth of human knowledge no longer needlessly restrained by the Faustian Bargain and humankind the greatest beneficiary. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfoghaworth.com ]
Workforce training and development in cybersecurity

Chapter Contents: 9.1 Introduction 9.1.1 Workforce training overview 9.2 Cybersecurity workforce training 9.2.1 Theory and foundation of the cybersecurity training 9.2.2 Program overview 9.2.3 Cybersecurity certificate program 9.3 Common training approaches 9.4 Summary References
Research on the Transformation and Upgrading of Traditional Book Publishing to Standardized Digital Publishing

At present, digital publishing has a bright future. However, under the current publishing model based on physical publications, digital publications are faced with problems such as insufficient quality of content resources, insufficient approval procedures, and insufficient authority of publications. In response to the above problems, this paper proposes a publishing decision-making algorithm based on a knowledge aggregation service platform, and applies it to the practice of digital publishing by Tsinghua University Press. The algorithm uses the massive network resources and user data gathered by the platform to select high-quality network resources for digital publishing through calculations. It aims to improve the quality of digital publications and accelerate the circulation of knowledge, hoping to provide a valuable reference for promoting the transformation and upgrading of the publishing industry.
Remote detection of rare-earth metal deposits by secondary microwave radiation

Rare earth metals comprise 19 elements that have vital uses in modern technology. Their applications can be found from mobile phones, fuel cell electric vehicles to nuclear power, and aerospace components. The relevance of research is due to the need to improve methods for remote detection of rare-earth metal deposits in hard-to-reach places, as well as their placers, which are of interest for the processes of exploration and production of minerals. Remote sensing methods significantly reduce the ecological footprint of mining operations by saving resources, they can reduce the financial costs of geological exploration, and their development will increase the country's raw material potential. The use of remote sensing methods improves resource management, contributes to the study and restoration of the ecology of the region. The research results will make it possible to carry out mapping of local changes in the radiation background of the earth's surface based on the measurement of weak electromagnetic radiation in the frequency range 1.3 - 1.7 GHz. In this article, we show field measurements of the K, U, and Th content in the soils of the southeastern, most densely populated, part of the Tomsk region. The estimates obtained show the possibility of creating an onboard device for remote monitoring of radioactive contamination of the area.
A Constraint-based Approach for Enumerating Gradual Itemsets

Gradual itemsets model complex attributes covariations of the form the more or less is A, the more or less is B. Recently, such kind of itemsets has received great attention over the last years, and several proposals have been introduced to automatically extract these patterns from numerical databases. Unfortunately, discovering such itemsets remains challenging because of the exponential combinatorial search space.In this paper, we first formalize the problem of mining gradual itemsets as a constraint-based problem. Then, we use SAT solvers for solving the corresponding propositional satisfiability problem. Extensive experiments on real-world datasets confirm that our proposal is competitive with GRITE, one of the most efficient state-of-the-art algorithm for discovering frequent gradual itemsets. Lastly, we show the flexibility of our SAT-based approach by its ability to modeling additional user constraints without revising the solving process.
FACE MASK DETECTION ALERT SYSTEM

In the present scenario due to Covid-19, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed. To identify the person on image/video stream wearing face mask or not. If the person doesn’t wear a mask, the notification will be sent to the respected admin with the help of Python and deep learning algorithm by using the Convolutional Neural Network, Keras Framework and OpenCV. Keywords: Computer Vision, Object Detection, Object Tracking, COVID-19, Face Masks, Safety Improvement
The Role of Information Systems in Enhancing the Implementation of Administrative Decisions

Information systems are currently used in all organizations due to their effectiveness in the implementation of administrative decisions. This study attempted to examine availability of information systems infrastructure, the impact of information systems on enhancing the procedures of the implementation of administrative decisions, and the obstacles that hinder the use of information systems to implement administrative decisions at Tabuk University in Saudi Arabia. In order to achieve these goals, the researcher used the descriptive analytical approach and used the questionnaire instrument in order to collect the data from the research sample. Population of the study comprised all the administrative employees at Tabuk University. The researcher distributed (325) questionnaires on the research sample and (252) questionnaires were put for study. The findings of the study showed that Tabuk University have a good infrastructure of information system that fit the work requirements and that help the employees to get accurate and timely reports. Also, the findings showed that the information systems have a robust role in enhancing the procedures of the implementation of the administrative decisions in terms of the availability of accurate, correct, and timely data to implement the administrative decisions properly. On the other hand, it was shown that there are obstacles for the use of information systems to implement administrative decisions such as the inappropriate organizational structures, lack of training, routine procedures, lack of funds to update the systems regularly, and employees&amp;rsquo; resistance. Based on these results, the researcher recommended having a proper organizational structure that support information systems, holding regular training courses for the employees, motivating employees to avoid resistance, and ensuring the allocation of resources to get the new modern systems.
Accuracy errors in post-edited output, based on Korean-English parallel corpus for AI training.

In sharp contrast to great attention to the quality of Machine Translation (MT) raw output, the quality of post-edited output has drawn relatively little attention in Korean translation studies, although some errors in MT output can remain even after post-editing. Against this backdrop, this study sets out to investigate accuracy errors in post-edited output, based on Korean-English parallel translation corpus for AI training released in June 2021 by the National Information Society Agency. For this purpose, 200 parallel sentences with accuracy errors were collected and classified by error type. According to the analysis results, mistranslation errors account for about two-thirds, with the rest in omissions, indicating that quite a number of omissions are still left in post-edited output. While lexical errors ranging from words to clauses are found most frequently in mistranslations, syntax errors represent a surprisingly large portion, with many errors in modifiers and subjects. This study draws attention to quality in MT post-editing, suggesting the need for further investigation into factors affecting the quality of post-edited output.
Dynamic 3D Scene Graph Generation for Robotic Manipulation Tasks

In this study, we proposed a novel dataset and a deep learning model that can generate three-dimensional (3D) dynamic scene graphs for robotic manipulation tasks. First, we defined a new 3D scene graph to effectively represent the dynamics of a robotic manipulation task environment. Subsequently, we collected a series of input sensory data by conducting multiple manipulation tasks in a simulated environment. Based on the collected sensory data and the corresponding 3D scene graphs, we constructed a dataset, namely, D3DSG, for training and validating a scene graph generation model. In addition, we proposed a ST-GCN based context reasoning module that can utilize both rich spatial and temporal contexts, after which an effective 3D scene graph generation model, namely, SG4RMT, which consisted of a 6DoF pose estimation module and a spatio-temporal context reasoning module, was presented. The superiority and high performance of the proposed SG4RMT model were demonstrated by performing multiple experiments using the D3DSG dataset.
Research on Liberal Arts Education Based on Philosophical Reasons from the East and the Westt - Focusing on the conversation between Socrates and Confucius -

인문학의 위기 라는 말이 유행처럼 번지고 있지만 어느 누구도 위기의 본질에 대해 설득력있게 말하지 못한다. 동서양의 철학은 인문학적으로 오랜 세월에 걸쳐 만들어지는 학적 탐구의 성과물이다. 그리고 동서양 철학을 공부하는 사람으로서 동&#8228;서양의 철학적 사유sms 현실의 사태를 예리하게 분석하고 그것을 철저하게 정교한 언어로 서술하고 그것에 바탕을 두어서 지속해서 의심해 보는 학적 행위이다. 철학이 접근하기 어려운 이유는 전적으로‘teaching’에 있다고 판단하였다. 본 논문은 동서양의 철학적 주요 사유의 경향들을 바탕으로 한 교양 교육 방법론을 개발하는 것이 연구의 목적이다. 본 연구는 스스로 철학함을 실천하는 방식으로 동양철학에서 공자의『논어(論語)』와 서양철학에서 소크라테스의『파이돈』을 교양교육을 위한 교재로 도입한다. 이를 통해 지금까지 다소 모호한 외연과 애매한 의미가 있는 철학이라는 개념에 대해 명확히 선을 긋고, 그 안에 새로운 철학교육 방법론을 제시할 수 있을 것이다. 이를 위해 동양 철학적 사유 경향 중 그 대표적인 예로 유가 사상의 핵심인물인 공자의 전형적인 대화법을 통해 교양 교육법을 추론해 내고자 한다. 한편으로는 서양철학의 대표적 인물로 소크라테스를 선정하여 그의 대화법을 통해 교양 교육의 방법론을 찾아보고자 한다.Despite the spread of the term crisis of humanities , no one can speak convincingly about the nature of the crisis. The philosophy of the East and the West is the result of academic inquiry that has been made over a long period of time in the field of humanities. Both Eastern and Western philosophical thinking represents an academic act that sharply analyzes a real situation, describes it in a thoroughly elaborate language, and continuously generates doubts based on it. It has been judged that the reason why philosophy has been difficult to access is entirely in its teaching. The purpose of this paper is to develop a liberal arts education methodology based on the trends of major philosophical reasons in the East and the West. To this end, as a representative example of the Eastern philosophical thinking trend, this paper infers a liberal arts education law through the typical dialogue method of Confucius, the central figure of Confucianism. On the other hand, Socrates is selected as a representative figure of Western philosophy, and likewise a methodology of liberal arts education is inferred through his dialogue method.