Reviewerly/exHarmony huggingface dataset:
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Effect of Smart Software on Developing The Architectural Projects in Jordan

This research aims at investigating impact of using smart software on developing the architectural projects in Jordan.To achieve objectives of the research, the researcher used the quantitative research method to extract percentages, standard deviation, and frequencies.The main instrument used for collecting the primary data was the questionnaire, while secondary data was collected by referring to the previous studies that have addressed the use of smart software in the architectural projects.Study population consisted of design engineers in the construction firms in Jordan, while research sample has been selected through the use of the simple random sampling technique which consisted of (150) design engineers.Responses of the engineers to the questionnaire’s clauses were analyzed using (SPSS) software.Based on the results, it is recommended:-              The necessity for learning from the experience of the developed countries in using the smart software to be able to improve and develop the work environment in the architectural projects.-              The need for executing architectural projects through the use of smart software to reach big projects relevant to the society.-              The need for conducting more studies about the smart software and linking them with other variables
Comparison and Correlation

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
Introduction of different application areas of digital image processing with the case study of video and audio compression for efficient storage

Introduction of different application areas of digital image processing with the case study of video and audio compression for efficient storage
AUGMENTED REALITY KITCHEN DESIGN

Kitchen represents a space with great importance for one family. That's why the goal is to have a kitchen with the best possible design. This implies the creation of a kitchen with the best possible organization, maximal space usage and aesthetic appearance in accordance with the owner's taste. The traditional kitchen design process assumes the use of professional services, such as an interior designer or architect. The kitchen design process consists of several steps:．Space measurement and initial design discussion;．2D / 3D design;．Design evaluation;．Technical drawing creation. Professionals in the design phase use different manual and digital tools and software. Precise kitchen space measurement is done in a family home using measurement tools. Design discussion has a goal of understanding the homeowner's taste and desire for the kitchen appearance and functionality. Based on discussion and measurements, the designer creates first kitchen visualizations in the form of sketches, 2D images, or 3D models. This design is then discussed with the homeowner and readjusted several times until the final version. This final version is then used for the creation of technical drawings that are used for kitchen assembly. The evolution of contemporary devices and computer graphics lead to the development and adaptation of Augmented Reality in design. Augmented reality (AR) is an emerging computer technology where the perception of the user is enhanced by the seamless blending between a realistic environment and computer-generated virtual objects coexisting in the same space. The resulting mixture supplements reality, rather than replacing it. In this paper possibilities for Augmented Reality use in the kitchen design process are investigated. Analysis and comparison of currently available, state of the art solutions for Augmented Reality kitchen design are performed. State of the art in the field of AR space measurement, AR 3D model presentation, and AR kitchen design are investigated. Analysis of currently available solutions for Augmented Reality kitchen design is performed and compared.
Gaussian Process Regression &amp;#8211; A tool for improved climate index reconstructions

&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;We present a flexible non-linear framework of Gaussian Process Regression (GPR) for the reconstruction of past climate indexes such as the Atlantic Multidecadal Variability (AMV). These reconstructions are needed because the historical observation period is too short to provide a long-term perspective on climate variability. Climate indexes can be reconstructed from proxy data (e.g. tree rings) with the help of statistical models. Previous reconstructions of climate indexes mostly used some form of linear regression methods, which are known to underestimate the true amplitude of variability and perform poorly if noisy input data is used. &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;We implement the machine-learning method GPR for climate index reconstruction with the goal of preserving the amplitude of past climate variability. To test the framework in a controlled environment, we create pseudo-proxies from a coupled climate model simulation of the past 2000 years. In our test environment, the GPR strongly improves the reconstruction of the AMV with respect to a multi-linear Principal Component Regression. The amplitude of reconstructed variability is very close to the true variability even if non-climatic noise is added to the pseudo-proxies. In addition, the framework can directly take into account known proxy uncertainties and fit data-sets with a variable number of records in time. Thus, the GPR framework seems to be a highly suitable tool for robust and improved climate index reconstructions.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
Evaluation of Online Language Exchange Platforms: The Example of “Free4Talk”

This study aims to evaluate online language exchange platforms and its main focus is on the website named “www.free4talk.com” as an example. The theoretical framework is based on self-directed learning, e-tandem language learning, community of inquiry and expressive language competency. Interviews with the founder, administrator and some of the users of the website are conducted and a 5-point Likert type assessment tool with 26 items and 7 dimensions is created with the help of a literature review at the same time. The findings are obtained through analysing the data collected by applying the instrument to 413 people on the website. The research reveals that this platform presents a free environment with a certain amount of safety and it contributes greatly to foreign language development of learners in terms of providing an opportunity for language practice, an undeniable improvement in expressive language competency and a social atmosphere that offers a source of motivation for language learning for both people who finished their formal foreign language training and for students who are still studying at schools.
El trabajo metodológico en ingeniería y gestión de software mediante entornos virtuales de enseñanza-aprendizaje

Higher Education institutions have undergone transformations in the educational teaching process during the XXI century, which has demanded pedagogical and didactic changes to achieve a complete education process of the university student. This research arises from the latent contradiction between the impact of Information and Communication Technologies (ICT) in educational processes andtheir use at different levels of methodological work for the improvement and preparation of teachers, in such a way they can manage to face current challenges. The present research is aimed at assessing the contributions to the methodological work of the discipline group from the virtual teaching-learning environment at the University of Minint. A strategy and a course were developed and applied, supported in the M virtual environment for the teachers of the discipline group Software Engineering and Management, which contributed to the improvement of their methodological work. The advantages obtained with the application of the strategy and the course were determined through the analysis of surveys and interviews results.
Pedagogical aspects of the development of teacher’s digital competence

The article defines the criteria and levels of manifestation of digital competence, presents the experience of forming the digital competence of a HEIs modern teacher. The purpose of the study is to identify a mobile system of pedagogical aspects, based on which the digital diagrams of HEIs teachers are formed. The article describes the concept of "digital competence" in pedagogy, sociology, psychology, teaching methods. Empirical (observation, experiment, comparison), qualimetric (statistical calculation), and modeling (model creation, forecasting) methods were used to form the methodological base. It is established that the concept of digital competence of the teacher is an integral element in the learning environment of the HEIs, which is based on the basic pedagogical aspects. The practical significance of the intelligence results is directed to the implementation of the provisions of the digitizer model.
aHCQ: Adaptive Hierarchical Clustering Based Quantization Framework for Deep Neural Networks

For deep neural networks (DNNs), a high model accuracy is usually the main focus. However, millions of model parameters commonly lead to high space overheads, especially parameter redundancy. By maintaining network weights with less bit-widths, network quantization has been used to compress DNNs for lower space costs. However, existing quantization methods cannot well optimally balance the model size and the accuracy, thus they suffer from the accuracy loss more or less. Besides, though few of existing quantization techniques can adaptively determine layers quantization bit-widths, they either give little consideration on the relations of different DNN layers, or are designed for special hardware environment that are not universal in broad computer fields. To overcome these issues, we propose an adaptive Hierarchical Clustering based Quantization (aHCQ) framework. The aHCQ can find a largely compressed model from the quantization of each layer and take only little loss on the model accuracy. It is shown from the experiments that the aHCQ can achieve \(11.4\times \) and \(8.2\times \) model compression rates with only around \(0.5\%\) drop of the model accuracy.
A Model of Causal and Probabilistic Reasoning in Frame Semantics

Quantum mechanics admits a “linguistic interpretation” if one equates preliminary any quantum state of some whether quantum entity or word, i.e. a wave function interpret-able as an element of the separable complex Hilbert space. All possible Feynman pathways can link to each other any two semantic units such as words or term in any theory. Then, the causal reasoning would correspond to the case of classical mechanics (a single trajectory, in which any next point is causally conditioned), and the probabilistic reasoning, to the case of quantum mechanics (many Feynman trajectories). Frame semantics turns out to be the natural counterpart of that linguistic interpretation of quantum mechanic
Parallel Processing of Grammar Compression

Re-pair is a grammar-based compression algorithm. It achieves higher compression rates for text, graph, and tree than other general compression algorithms. While Re-pair is linear-time algorithm, it is slower than other algorithms in practice. In this paper, we present Parallel Re-pair, a novel variant that enables parallel processing of Re-pair. In Parallel Re-pair, Re-pair is executed on CPU cores with a shared dictionary to synchronize allocations of variables. Thus, compressed strings can be simply merged without reallocation of variables. Our experiments show that Parallel Re-Pair significantly reduces compression time with up to 16 or 32 CPU cores.
Theoretical And Methodological Basis Of Gender Application And Management In The System Of Higher Education

It is emphasized that the education system is the initiator of changes to introduce gender equality in society. This, in turn, requires the development of a theoretical and methodological basis for the implementation and management of a gender approach to the education system. Therefore, this article, from a scientific point of view, examines the features of the implementation of a gender approach in higher education, the creation of equal rights and opportunities for women and men in higher education.&#x0D; One of the effective mechanisms for ensuring gender equality is the work of the Advisory Council on Equal Rights and Opportunities for Women and Men, created under the Ministry of Higher and Secondary Specialized Education. Analyzed the results of a survey on the provision of guarantees of equal rights and opportunities for women and men in the field of higher education. Dior guidelines have also been developed for integrating a gender perspective into the education system.
Computational Register Analysis and Synthesis

The study of register in computational language research has historically been divided into register analysis, seeking to determine the registerial character of a text or corpus, and register synthesis, seeking to generate a text in a desired register. This article surveys the different approaches to these disparate tasks. Register synthesis has tended to use more theoretically articulated notions of register and genre than analysis work, which often seeks to categorize on the basis of intuitive and somewhat incoherent notions of prelabeled “text types”. I argue that a integration of computational register analysis and synthesis will benefit register studies as a whole, by enabling a new large-scale research program in register studies. It will enable comprehensive global mapping of functional language varieties in multiple languages, including the relationships between them. Furthermore, computational methods together with high coverage systematically collected and analyzed data will thus enable rigorous empirical validation and refinement of different theories of register, which will have also implications for our understanding of linguistic variation in general.
Pelanggaran Lalu Lintas Di Jalan Raya Sebagai Budaya Masyarakat Perkotaan, Dalam Karya Film Dokumenter “Penjajah Aspal”

The creation of documentary film works aims to provide knowledge and understanding to the public about traffic violations, such as not using helmets for motorized drivers, breaking traffic lights, ignoring road signs or signs, to contra-flow, which can endanger the safety of violators itself, also other road users. The actual regulation in traffic is an effort to bring security, comfort and smoothness to all road users. Another thing that inspires the creator to raise this issue in the form of documentary film work is that because of the personal experience of the creator he saw the presence of traffic violators on the road as parents who were driving with their children, in other words the violators did not heed the safety of passengers small. Departing from that experience then another anxiety arises in the creator, namely, when a parent gives a bad example, in the context of driving on a highway, will it be easily transmitted to children?. Through this documentary film work, the creators hope that the audience can better know that traffic violations on the road can be detrimental in terms of safety, comfort and smoothness. The creators hope that through this documentary film work, they can provide knowledge about alternative solutions, to change the usual habit in community to start to use public transportation modes in order to reduce traffic jam. The creator uses an interview approach and produces audio-visual outputs that are packaged in the form of documentary films with storytelling patterns designed in such a way as to look light, entertaining, while providing new knowledge or information to the audience.
EXPLORING THE TRAJECTORY PREDICTION USING LSTM ANDEXTREME MACHINE LEARING

Human Mobility understanding is very important in wide extent of live applications in different areas, forexample, customized proposition systems, the fifth generation (5G) portable correspondence structures, etc. Generally, theestimate objective shifts from different application circumstances. For the usage of 5G organize including source task just asversatility organization, it is major to foresee the spots of portable customers in the near future from numerous seconds to afew minutes in order to make course of action early, which is actually a bearing expectation issue. Right now, explicit pointof convergence on multi-client multi-step heading expectation, we first arrangement a fundamental significant learning-basedestimate structure where the Long Short-Term Memory (LSTM) mastermind is authentically applied as the most essentialfragment to take in client explicit portability plan from the customer's irrefutable bearings and foresee his/her improvementslants later on. Roused by the related disclosures subsequent to affirming and analyzing this crucial framework on a modelbased dataset, we extend it to a territory situated forecast plot and propose a multi-customer multi-step course desireframework by further merging the Sequence-to-Sequence (Seq2Seq) learning. The results on a reasonable dataset delineatethat the proposed structure has basic upgrades for hypothesis limit and diminishes mistake aggregation sway for multi-stepconjecture. As an extension concept we are adding the Extreme Machine Learning to improve the performance of ourplanned work.
Penerapan metode preview, question, read, reflect, recite, and review (pq4r) untuk meningkatkan keterampilan membaca pemahaman pada peserta didik kelas iv sekolah dasar

Abstract. The aim of this research is to improve reading comprehension skills through application Preview, Question, Read, Reflect, Recite, and Review (PQ4R) method to fourth grade students of SD N Geneng 02 Sukoharjo 2018 to 2019 school year. This type of research is a Classroom Action Research that is conducted in three cycles which  consists of four stages; planning, action, observation, and reflection. The subjects of this study are teachers and fourth grade students of SD N Geneng 02 Sukoharjo. The technique of collecting data are observation, interviews, tests, and documentations. The validity test uses triangulation techniques, source triangulation, and content validity. Analysis of the data used in this study is an interactive analysis technique which has four steps. They are collecting data, reduction data, presentation, and conclusion. The results showed that the average score of pre-action class scores of 51,41 with 13,64% classical completeness, increased to 61,96 with 34,64% classical completeness in the first cycle and increased to 72,32  with a classical completeness of 63,64% in cycle II, and increased again to 78,52  with a classical completeness of 91,30% in cycle III. Based on the results of the study, it can be concluded that through the application of the Preview, Question, Read, Reflect, Recite, and Review (PQ4R) method can improve reading comprehension skills of fourth grade students of SD N Geneng 02 Sukoharjo in 2018 to 2019 school year.
BYOD Cyber Forensic Eco-System

Software Defined Wide Area Network (SD-WAN) and Bring Your Own Device (BYOD) both the terms bringing the additional advantage to the enterprises. BYOD enables alternate method of working environment, increasing employee satisfaction and organization productivity while SD-WAN is providing business agility, digital business transformation , intelligent networking and meeting dynamic business demand. Due to advance benefit of both the terms every IT leaders, CIO becomes elegant to transform technology but co-existence of both in same infrastructure, becomes challenging situation due to advance threat landscape, security issues as a result business disruption arises. This need very vigilant contemplation for every organization before adoption of these technology. In order to overcome the cyber threat challenges organization need to adopt strong security mechanism in detection of threat and protect organization internal critical infrastructure from BYOD untrusted threat landscape. In this study a novel strategic approach using reverse adoption of encryption technology for securing corporate infrastructure is introduced. The method of new secure framework shows that it has significant tactic to protect the corporate infrastructure and help in building further cyber forensic advance ecosystem. End of this research BYOD malicious category users and traffic mechanism developed and finally “PROTECT” protocol proposed to protect critical infrastructure, which has a created a significant benefit in this technology so that organization can adopt.
La brecha digital como factor de exclusión del sistema educativo

espanolDesde la aparicion de Internet y las Tecnologias de la Informacion y la Comunicacion (TIC) son numerosas las facetas de nuestra vida en las que se han vuelto casi imprescindibles. Esto no excluye a la educacion, campo en el quese han realizado numerosos estudios senalando las multiples ventajas de implantar las TIC en el sistema educativo. A pesar de esto, parece que hay reticencias y dificultades para su implantacion definitiva. La pandemia sufrida por el COVID-19 y el confinamiento impuesto, han hecho patente la necesidad de contar con las TIC de manera definitiva en el campo de la educacion. La situacion ha puesto de manifiesto tanto la necesidad como las dificultades y barreras que todavia a dia de hoy existen.Por ello, en este trabajo se hace un analisis de los beneficios de las TIC, en relacion a la educacion, asi como de las barreras que impiden su completa implementacion y que provocan una brecha digital, generando, en algunas ocasiones, situaciones de exclusion. EnglishSince the appearance of the Internet and Information and Communication Technologies (ICT), there are many facets of our lives in which they have become almost essential. This does not exclude education, a field in which numerous studies have been carried out pointing out the multiple advantages of implementing ICT in the educational system. Despite this, it seems that there are reticence and difficulties for its definitive implantation. The pandemic suffered by COVID-19 and the confinement imposed have made clear the need for definitive ICT in the field of education. The situation has highlighted both the need and the difficulties and barriers that still exist today. For this reason, this work analyzes the benefits of ICT in relation to education, as well as the barriers that prevent its full implementation and cause a digital divide, sometimes generating situations of exclusion.