Reviewerly/exHarmony huggingface dataset:
Reading Weakness Factors Among the Three Basic Grades Pupils from South Ghours District Female Teachers Point of View: أسباب الضعف القرائي لدى طلاب الصفوف الثلاثة الأولى من وجهة نظر المعلمات في لواء الأغوار الجنوبية

This study aimed at identifying the reasons for the low level of the first three basic grades pupils in the basic skills of reading from the point of view of the female teachers in the Southern Ghor District as well as the relationship of that with some variables. The researchers developed the study tool that consisted of (37) items distributed to four domains; the validity and reliability of the study tool were verified. The study sample consisted of (44) female teachers from those who teach the first three basic grades using the analytical descriptive method. The study results showed that the estimations of the teachers regarding the reasons for the low level of the first three basic grades pupils in the basic skills of reading in the Southern Ghor District were of a high degree. The reasons relating to the family were in the first place, followed by the reasons relating to the educational environment, then the reasons relating to the pupils and finally, the reasons relating to the teacher. The results showed that there are no statistically significant differences at (α≤ 0.05), regarding the teachers’ estimations for the reasons of the low level of the first three basic grades pupils in the basic skills of reading in the Southern Ghor District, attributed to the years of experience as well as educational qualification. The results showed that there are statistically significant differences regarding the educational setting in favour of the educational qualification of the bachelor degree. In the light of the results, the study recommended about holding training courses for the teachers of the first three basic grades in order to give them training regarding the methods of dealing with this weakness in the reading skills among the students. The study also recommended about the necessity of activating the role of the educational supervisor in attending many classes in order to identify the real reasons for of the low level for the skills of reading among the students and dealing with that.
Library: Data Visualization: Meetings & Workshops

Resources and information about data visualization at the University of Calgary and beyond.
The world of children's book: the study illustration as a path of knowledge

The article is devoted to the study of the role of illustration in a children's book, where the latter is considered as a visual way for a child to learn the content of the text. The author, considering the development of illustration in historical retrospect, tries to highlight its features and specifics, which changed from era to era, covering more and more new styles, new directions, new artists. At the same time, the author, based on the analysis of scientific literature, comes to the conclusion that the illustration for children is as important as the text of the book itself, and for younger children it is even more important than the text. Illustration in a children's book, whether educational or artistic, is always a kind of visual path of knowledge, which is undoubtedly included in the system of cultural universals. And here, the task of the illustrator is to dynamically expand the knowledge of children and adolescents obtained through the book. It is clear that the introduction of modern children to reading, which in the digital era - the era of the craze for gadgets is becoming especially relevant, where an important role is played by illustration, its quality and skill of execution, the power of attraction. The author is sure that the illustration not only interprets the text, but also enriches it in its visual images, and here the artist shows his attitude to the text, develops or complements the thoughts of the writer or poet, enriching the text with visual images.
Effective Corporate Social Responsibility (Csr) Delivery as Panacea for Restiveness and Conflict in The Niger Delta: Role of The Mass Media

The Niger Delta has been a cauldron of restiveness and violent conflicts. Most of these conflicts result from the failure of the multinational corporations operating in the region to adequately discharge their Corporate Social Responsibility to the people. It is against this backdrop that this paper examines the issue of Corporate Social Responsibility as the panacea for the restiveness and conflict in the region as we as the crucial role the mass media have to play in assisting the corporate organisations to effectively discharge their obligations to the people. It is propounded here that failure to disseminate relevant information in this regard has led to mistrust and misunderstanding which eventually culminate in restiveness and conflict. The role of the media is therefore equally examined. The paper discovers that the media are constrained in the performance of this role. These constraints are presented and ways of tackling them are proffered.
Using Digital Micro-network Interactive System to Improve the Quality of Experimental Teaching of Drosophila Salivary Gland Chromosomes

Background: With the microscopic interactive system widely used in experiment teaching of Genetics, Botany, Cell biology, Medical morphology, etc., which are focused on the microscopic observation, Traditional experimental teaching mode is changed, experimental teaching efficiency and experimental teaching effect are improving.Objective: In order to improve the efficiency and effect of genetics experiment teachingthis, we introduce the digital micro-network interactive system into the genetics experiment teaching.Method: We implemented the observation and preparation techniques of Drosophila salivary gland chromosomes from teaching organization, implementation of the experiment, using the digital micro-network interactive system.And the application effect of microinteractive system in chromosome section of Drosophila salivary gland is analyzed.Result: The results showed that the microscopic interaction system could improve the efficiency and effectiveness of the interaction between teachers and students, stimulate the students' experimental interest.Especially, the success rate of salivary gland chromosome is increased by more than 20%.Conclusion: The application of micro-interactive system has indeed revolutionized the traditional experimental teaching mode to a certain extent.It closely relies on modern information technology and forms a new experimental teaching mode for the cultivation of genetically innovative talents, which characterize by zero barriers in teacher-student interaction, zero distance in resource sharing and zero gap in real-time monitoring.
La digitalización educativa en educación infantil

espanolLa etapa de Educacion Infantil con su propia identidad, camina hacia la digitalizacion educativa, aprovechando las posibilidades que nos brinda tanto para la organizacion profesional, comunicacion con las familias, en la practica pedagogica y para desarrollar las capacidades de nuestro alumnado. A continuacion, analizaremos como influye en ello el Marco de Competencia Digital Docente y como nuestra normativa favorece el uso de la tecnologia en el aula, mejorando la atencion a la diversidad, la creatividad, desarrollo de las competencias y de las soft kills de nuestro alumnado. Veremos como ha influido el periodo de confinamiento que hemos vivido, para enfocar nuestra formacion y aplicacion didactica en este ambito. EnglishThe Stage of Pre-School Education walks towards educational digitization with its own identity, taking advantage of the possibilities it provides for professional organization, communication with families, pedagogical practice and to develop the capacities of our students. In this article, it will discuss how the Digital Teaching Competence Framework influences this change and how our regulations favor the use of technology in the classroom, improving attention to the diversity of our students. Moreover, this article also illustrates how the period of confinement, we have experienced, has influenced on our training and teaching application in this field.
LibGuides: Loss and Bereavement: Websites

This guide is for the subject Loss and Bereavement. It contains resources available in the NCU Library.
eTwinning y la transformación digital educativa

espanoleTwinning ha sido el motor de cambio en la transformacion digital de los centros educativos, entendiendo estos como un conjunto de personas y factores (docentes, alumnos, familias, infraestructuras). La formacion del profesorado y el uso responsable de la tecnologia son aspectos que se cuidan y valoran desde el lanzamiento del programa en 2005. En estos ultimos meses a consecuencia de la pandemia mundial de la COVID19 el paso al aprendizaje via telematica ha experimentado un auge vertiginoso que se ha visto favorecido por plataformas virtuales como la que se ofrece desde eTwinning. La formacion continua que esta incluye, asi como el intercambio de colaboracion y practicas entre centros han sido siempre factores decisivos de cambio, suponiendo un alivio en la etapa de pandemia actual y contribuyendo a la mejora del uso de la tecnologia en el ambito educativo. EnglisheTwinning promotes changes in the digital transformation of schools, which are understood as a group of people and components (teachers, students, families and infrastructure). Teacher training along with a responsible use of technology, are both main aspects that have been appreciated and highly valued since the eTwinning programme was launched in 2005. In recent months, as a consequence of the global pandemic COVID19, the transition to e-learning has dramatically increased and has been boosted by the use of virtual platforms such as the one provided by eTwinning. The continuous professional development offered in eTwinning as well as the exchange of practices and collaboration between schools, have always been crucial factors to promote a change in the scenario, enabling a more efficient use of the technological resources in education.
Innovations in pedagogical activity of higher schools

The article deals with the actual current task of pedagogical activity - innovations in educational process. The article represents reviews of the research and works on the subject by other authors and definitions of the main concepts concerning the subject, and points out the main reasons stimulating professors and teachers of the higher schools to innovations. Having analyzed the scientific works on the subject, the author indicated innovative features of higher school pedagogics. The author represents the results of the research on readiness of the staff of Moscow Aviation Institute (National Research University) to introduce innovations in practice. Factors influencing the process of innovation such as: major advantages of innovative pedagogics from the point of view of pedagogical staff of higher schools, readiness of the teachers to master innovations, barriers to master innovations, awareness of the managers to accept innovations, branchers of literature devoted to innovative pedagogical technologies and their realization were also studied
Sound Speed Spatial Modeling in Persian Gulf using Geostatistical Techniques

During research patrol of 2001 ROPME, the physical parameters of sound velocity in the Persian Gulf were measured. The range of stations selected to measure these parameters included the entire Persian Gulf. However, these measurements were discrete from the study area.In this study sound speed was spatially modeled in Persian Gulf using the geostatistical analyst Arc GIS 9.2 software to prepare continuous and high validity maps of sound speed at different depths. These smart maps can be used to predict sound speed at any spatial coordinates in the study area by clicking the mouse pointer. Moreover, analysis of these maps led us to the conclusion that sound speed was highest in the shallower central parts but lowest in the eastern and western parts of the Gulf. The reason for this is the higher temperature and salinity in the central parts and the proximity of the eastern and western parts to the low-salinity waters of the Oman Sea around the Hormuz Strait in the eastern part and Arvandrood in the western part. The deeper waters also had the maximum sound speed around the Hormuz Strait and in the southern shores of the Persian Gulf where the more saline waters of the Gulf poured into the Oman Sea.
Detecting Interaction Activities While Walking Using Smartphone Sensors

An alternative to passwords for the verification of a user’s identity is authentication based on behavioural biometrics such as gait-based verification. To have good classification performances, knowledge of the specific activity or location while walking is required. In the related discipline of Human Activity Recognition, much work has been done to identify typical activities such as walking vs running using accelerometer and gyroscope with high accuracy. Yet, related work is missing fine-grained evaluations of activities while walking such as typing a text message or recording a voice message. This work presents a three-stage machine learning approach to classify interaction activities while smartphone users are walking. The first stage classifies the rough location of the phone, the second stage distinguishes between landscape and portrait orientation, and the third stage classifies the final interaction activity. Using a dataset of 30 persons executing several activities with a smartphone during walking, we compared the performance of different machine learning designs. Finally, a Random Forest classifier performs best and achieves an accuracy of 98% for the first stage, 98% for the second stage, and 75% for the combined three-stage approach.
Factors Influencing Online Buying Behavior of Customers in Saudi Arabia: العوامل المؤثرة على سلوك المستهلك عند التسوق عبر الإنترنت في السعودية

Recent years witnessed the establishment of many Saudi online stores; the accessibility of such online stores provides online shopping facilities that will increase online shopping in KSA. Therefore, it becomes highly important to study and understand the different factors that affect consumers’ behavior towards online buying in Saudi Arabia based on the fact that e-commerce has been one of the strategic objectives that support fulfilling the Saudi Vision 2030. The purpose of this study is to identify factors that could influence the buying behavior of customers in Saudi Arabia. The present paper has used the descriptive analysis to study the influence of various factors. Saudi online customers are the targeted population of the research. This study collected data using a convenience sampling method. The data was collected through a questionnaire on a sample of 212 respondents. The results of this paper show a positive attitude toward online buying among Saudi customers. The findings confirm that trustworthiness, price, convenience and customer satisfaction are determinants of online buying continuance and they could influence online buying behavior. The findings show that there is no significant difference in online buying behavior, according to social influence. Online Saudi companies should concentrate on setting effective marketing and sales strategies to get more customers into online buying. The findings contribute to the projected growth of e-commerce in Saudi Arabia in light of Saudi Vision 2030.
Online Shopping Cart

The temporary job builds up a student's understanding. The entry level position known is toincrease a few wisdom from the diverse numerous associations that will assist a great deal withmaking a connection among the theoretic and handy information. The Internship information iswanted to make strides understudies chipping away at record and servitor in productive sciencedegrees in law requirement or recovers with a chance to form quickness into the reasonableutilization of scholastic information. By watching the work exercises of the individuals from acriminal legitimize office and by working under guard, understudies will be better prepared tomeet their own advantage and become fit for a career.
Perancangan Sistem Informasi Peminjaman Kredit Berbasis Website Pada Koperasi Cipta Bina USAHA

Abstract Cooperatives are one of the aspects that support the community's economy, especially low and middle economic communities. This existing cooperative needs to be developed so that the cooperative can provide good services to the community. Cipta Bina Usaha Savings and Loans Cooperative is one of the cooperatives that helps support the community's economy by providing storage and lending services at low interest rates. The existing data processing information system is felt to be ineffective and inefficient because the existing system is still stand alone. Therefore, it is necessary to develop a credit lending information system at the Cipta Bina Usaha Cooperative which is based on a client server with the aim of accelerating and simplifying the borrowing process and data processing at the Cipta Bina Usaha Cooperative. In the development of this system, the data processed is master data consisting of member data and administrator data as well as transaction data consisting of data on saving deposits, taking deposits, borrowing and data on loan payments. The result of this research and design is a credit lending information system at the Cipta Bina Usaha Cooperative which is based on a client server where the user consists of three parts, namely the chairman of the cooperative, administration and the cashier section. Based on the tests that have been carried out, the system built can help process data effectively and efficiently, both processing member data, data on savings, loans and loan payments.
C3VQG: category consistent cyclic visual question generation.

Visual Question Generation (VQG) is the task of generating natural questions based on an image. Popular methods in the past have explored image-to-sequence architectures trained with maximum likelihood which have demonstrated meaningful generated questions given an image and its associated ground-truth answer. VQG becomes more challenging if the image contains rich contextual information describing its different semantic categories. In this paper, we try to exploit the different visual cues and concepts in an image to generate questions using a variational autoencoder (VAE) without ground-truth answers. Our approach solves two major shortcomings of existing VQG systems: (i) minimize the level of supervision and (ii) replace generic questions with category relevant generations. Most importantly, by eliminating expensive answer annotations, the required supervision is weakened. Using different categories enables us to exploit different concepts as the inference requires only the image and the category. Mutual information is maximized between the image, question, and answer category in the latent space of our VAE. A novel category consistent cyclic loss is proposed to enable the model to generate consistent predictions with respect to the answer category, reducing redundancies and irregularities. Additionally, we also impose supplementary constraints on the latent space of our generative model to provide structure based on categories and enhance generalization by encapsulating decorrelated features within each dimension. Through extensive experiments, the proposed model, C3VQG outperforms state-of-the-art VQG methods with weak supervision.
Perception of a Tracing App During the Covid-19 Pandemic in Germany

Access to digital technologies depends on the availability of technical infrastructure, but this access is unequally distributed among social groups and newly summarized under the term digital divide. The aim is to analyze the perception of a tracing app to contain Covid-19 in Germany. The results showed that participants with the highest level of formal education rate the app as beneficial and were the most likely to use the app.
RICAPS: residual inception and cascaded capsule network for broadcast sports video classification.

The field of broadcast sports video analysis requires attention from the research community. Identifying the semantic actions within a broadcast sports video aids better video analysis and highlight generation. One of the key challenges posed to sports video analysis is the availability of relevant datasets. In this paper, we introduce a new dataset SP-2 related to broadcast sports video (available at https://github.com/abdkhanstd/Sports2). SP-2 is a large dataset with several annotations such as sports category (class), playfield scenario, and game action. Along with the introduction of this dataset, we focus on accurately classifying the broadcast sports video category and propose a simple yet elegant method for the classification of broadcast sports video. Broadcast sports video classification plays an important role in sports video analysis as different sports games follow a different set of rules and situations. Our method exploits and explores the true potential of capsule network with dynamic routing, which was introduced recently. First, we extract features using a residual convolutional neural network and build temporal feature sequences. Further, a cascaded capsule network is trained using the extracted feature sequence. Residual inception cascaded capsule network (RICAPS) significantly improves the performance of broadcast sports video classification as deeper features are captured by the cascaded capsule network. We conduct extensive experiments on SP-2 dataset and compare the results with previously proposed methods, and the results show that RICAPS outperforms the previously proposed methods.
Analysis and Prediction of Trough Track Superelevation Based on Big Data

The detection of the safety status of urban rail transit is an important part of ensuring the operation of the rail. Using the data detected by the rail to analyze and predict the quality of the rail is very important for the research of rail inspection. Based on the existing research, this paper uses big data to analyze the collected superelevation data, and builds a trough-track superelevation big data prediction model based on the combination of the stochastic oscillation sequence gray model and ALO-Elman network to analyze the historical superelevation data and mine information about superelevation trends. In this paper, the average value of superelevation data of the equal-spaced groove track in a certain interval is collected for verification. The experimental results show that the method can reasonably predict the change trend of the ultra-elevation. The change trend is basically in line with the original data change trend, and the deviation is controlled to be small within range.
지배적인 문형 분석을 통한 소설의 문체적 특성 연구

This study aims to introduce a new linguistic methodology of using sentence patterns in analyzing novel style texts. Even though sentence pattern is one of the most fundamental characteristics of a sentence, until this paper little attention has been paid to its usefulness by linguistic approach in style. Sentence pattern can be divided into macro type and micro type. This paper investigates the dominant macro/micro types of sentence patterns in all sentences and in sentences which function as a link between two sentences in a text. Applying this methodology to two short novels written by Hwang Sun Won led to the discovery of the types of sentence patterns the author used most frequently which may exemplify his own unique style of writing.