Reviewerly/exHarmony huggingface dataset:
The Use Traditional Game Cublak-Cublak Suweng to Improve Arabic Vocabulary Achievements

The research purpose is to know Arabic vocabulary acquisition on students by traditional game cublak-cublak suweng (CSS). The applied approach in this research is PTK (class based research) held in cycles. Each cycle composed two meetings. The first meeting is used to give the material, drill vocabularies, and give test paper connected with fresh taught vocabularies. Second meeting is used to review taught vocabularies in first meeting by traditional game CSS. The data collection is by using interview, observation, giving tests, and documentation. The result of research indicates using game method, especially in traditional game cublak-cublak suweng increase students' Arabic vocabulary acquisition. The indicator is increasing grades degree from first cycle to other cycles; lack in first cycle, sufficient in second cycle, and good in third cycle.
Kurdish Speech to Text Recognition System Based on Deep Convolutional-recurrent Neural Networks

In recent years, deep learning has had enormous success in speech recognition and natural language processing. In other languages, recent progress in speech recognition has been quite promising, but the Kurdish language has not seen comparable development. There are extremely few research papers on Kurdish speech recognition. In this paper, investigated Gated Recurrent Units (GRUs) which is one of the popular RNN models to recognize individual Kurdish words, and propose a very simplified deep-learning architecture to get more efficient and high accuracy model. The proposed model consists of a combination of CNN and GRU layers. The Kurdish Sorani Speech KSS dataset was created for the speech recognition system, as its 18799 sound files for 500 formal Kurdish words. Finally, the model proposed was trained with collected data and yielded over %96 accuracy. The combination of CNN an RNN (GURs) for speech recognition achieved superior performance compared to the other feed-forward deep neural network models and other statistical methods.
Mutation Event and Fuzzy Active Rule Processing in a Graph Database System

A graph database system is a type of NoSQL databases that is based on the graph data model using nodes and arcs. Existing graph databases are passive and can only handle crisp data. Information in the real world can be imprecise and vague rather than crisp. Integrating fuzzy logic into database systems allows users to use uncertain data, which presents the degree to which something is true. Compared with passive databases, active databases support event handling by monitoring and reacting to specific circumstances automatically. This paper describes our approach of incorporating fuzzy concepts and active rules into a graph database system. Our recent publication has described our work of temporal event processing. This paper focuses on mutation events handling and active rule processing in a fuzzy system, covering the language model, the execution model, and architecture design. The language model defines the rule structure and contains the metadata for rule processing. Architecture design identifies the system's architectural components and user interfaces including rule specification interface and query interface. The execution model handles rule processing and execution at run time. A supply chain application is used to demonstrate the examples of active rule specification and execution.
The Impact of Working From Home on the Success of Scrum Projects: A Multi-Method Study

The number of companies opting for remote working has been increasing over the years, and Agile methodologies, such as Scrum, were adapted to mitigate the challenges caused by the distributed teams. However, the COVID-19 pandemic imposed a fully working from home context, which has never existed before. This paper investigation a two-phased Multi-Method study. In the first phase, we uncover how working from home impacted Scrum practitioners through a qualitative survey. Then, in the second phase, we propose a theoretical model that we test and generalize using Partial Least Squares - Structural Equation Modeling (PLS-SEM) through a sample study of 200 software engineers who worked from home within Scrum projects. From assessing our model, we can conclude that all the latent variables are reliable and all the hypotheses are significant. Moreover, we performed an Importance-Performance Map Analysis (IPMA), highlighting the benefits of the home working environment and the use of Scrum for project success. We emphasize the importance of supporting the three innate psychological needs of autonomy, competence, and relatedness in the home working environment. We conclude that the home working environment and the use of Scrum both contribute to project success, with Scrum acting as a mediator.
Research and Practice of Blended Teaching Mode Based on Network Teaching Platform—Taking Engine Principles as an Example

With the development of Internet information technology, a new educational model of “Internet + education” has emerged[1],It has promoted the reform of the university teaching classroom, and the hybrid teaching mode based on the online teaching platform will also enter the university classroom. In this paper, taking the engine principle course as an example, combines the school situation, teaching situation and learning situation of our school, and builds a hybrid teaching mode based on the online teaching platform. The construction and implementation of blended teaching mode are completed through the analysis of teaching content, teaching environment, teaching situation and teaching evaluation. It breaks the traditional teaching mode of teacher’s one-man show, realizes the dominant role of students and the leading role of teachers, stimulates students’ interest in learning, improves their independent learning ability, and ensures the quality of teaching.
Gender Differences, Framing, and Responsibility in Investment Decision-Making: An Experimental Study

Research aims: This study aims to investigate the effect of gender, framing, and responsibility on investment decision-making. Design/Methodology/Approach: This experimental study used a subject design of 2 x 2 x 2, in which 81 doctoral students participated. Furthermore, cross-tabulation was employed to analyze and examine the hypotheses.Research findings: The results revealed that positive and negative framing and responsibility levels would affect investment decision-making. This research also uncovered differences in risk preferences in decision-making between men and women. Additionally, both genders had varying preferences in making similar decisions.Theoretical contribution/Originality: Several studies have shown that when information is presented differently, here in after referred to as framing, it significantly influences decisions. However, the decision-making determination is influenced not only by framing but also by other variables. In this study, the framing variable, therefore, was tested jointly with the variables of responsibility and gender differences.
Background Subtraction Network Module Ensemble for Background Scene Adaptation

Background subtraction networks outperform traditional hand-craft background subtraction methods. The main advantage of background subtraction networks is their ability to automatically learn background features for training scenes. When applying the trained network to new target scenes, adapting the network to the new scenes is crucial. However, few studies have focused on reusing multiple trained models for new target scenes. Considering background changes have several categories, such as illumination changes, a model trained for each background scene can work effectively for the target scene similar to the training scene. In this study, we propose a method to ensemble the module networks trained for each background scene. Experimental results show that the proposed method is significantly more accurate compared with the conventional methods in the target scene by tuning with only a few frames.
A corpus-based investigation of the English translations of Mao Zedong’s speeches

This study adopts a corpus-based approach to examine the linguistic features manifested in the English translations of Mao Zedong's speeches, taking Winston Churchill's speeches (representative of normalized spoken texts) and the spoken texts in BNC Sampler (representative of original spoken texts) as the reference corpora. By investigating the macro- and micro-linguistic features, it is found that the translated Mao's speeches (both direct and inverse translations) differ from normalized spoken texts as well as original spoken texts in three aspects: (i) macro-linguistic features, (ii) the use of personal pronouns, (iii) the use of modal verbs. In terms of macro-linguistic features, the average word length of the English translations is higher than that of normalized spoken texts and that of original spoken texts; the standardized type/token ratio and average sentence length of the English translations are higher than those of original spoken texts, but lower than those of normalized spoken texts. Meanwhile, in terms of the use of personal pronouns, the English translations of Mao's speeches prefer the underuse of the first person singular pronoun I. Furthermore, as far as modal verbs are concerned, the English translations of Mao's speeches prefer the overuse of must and should on the one hand, and the underuse of shall, could, may, and would on the other hand. Therefore, it can be said that the translated Mao's speeches exhibit some particular linguistic features, which can not only be differentiated from normalized spoken texts, but also be distinguished from original spoken texts. They are in a middle position in relation to normalized spoken texts as well as original spoken texts. This in-betweenness not only exhibits Mao's creative and idiosyncratic language use, but also reflects the influence of the language transfer from Chinese into English.
CyberTOMP: A novel systematic framework to manage asset-focused cybersecurity from tactical and operational levels

&lt;p&gt;Currently different reference models are used to manage cybersecurity, although practically none are applicable “as is” to lower levels as they do not detail specific procedural aspects for them. However, they urge organizations to develop a methodological foundation to manage cybersecurity at those levels. Although they allow organizations to adhere to a recognized standard at the strategic level, this advantage vanishes when organizations must define specific low-level procedures, allowing the appearance of inconsistency at tactical and operational levels between departments of the same organization or between organizations. The design of these elements with the required holism and homogeneity is difficult, and this is why generic processes focused on getting certified regarding a standard are usually originated, but they are insufficient to obtain effective cybersecurity because they are not focused on dealing with real cyber threats. Because of the great responsibility of lower levels to achieve effective cybersecurity, this lack of methodological definition makes it difficult to adapt cybersecurity to the highly dynamic cyber context with the required holism and strategic alignment. Our proposal provides CyberTOMP, a process for managing cybersecurity at lower levels, as well as a set of methodological elements that support it. The novelty of these contributions is that they complement the strategic standard selected by the organization, providing it with a set of procedural elements ready to be used out of the box, contributing those aspects required by high-level frameworks to manage cybersecurity at lower levels, for which there is no alternative with a managerial approach.&lt;/p&gt;
The Impact of Environmental Knowledge on Recycling Intention: The Mediating Role of Perceived Behavioural Control

Currently, sustainability goals are the prior aim to be achieved by any organization as the united nation called to apply sustainability practices to be achieved by 2030. Recycling is one of the main extracted strategies from SDG 12 that countries try to increase and rely on landfills. Therefore, this study aims to measure the impact of environmental knowledge (EK) on recycling intention (RI); in addition, it tries to explore the mediation role of Internal perceived behavioural control (IPBC) and External perceived behavioural control (EPBC)). The research used a quantitative approach through distributing an online questionnaire to people in Egypt in order to examine the research variables. Number of 416 valid responses were analyzed using SPSS through conducting Bootstrapping method to analyzed the mediation role. The findings showed that environmental knowledge has a direct impact on recycling intention; moreover, the mediation role of Internal perceived behavioural control and External perceived behavioural control is rejected. This proves that increasing the environmental knowledge will enhance the behaviours of the societies. Furthermore, will grab the societies’ attention to apply the sustainability practices in the future. Future studies need to consider recycling activities, especially in developing countries, and to improve the awareness and behaviour levels.
SDAM: Semantic Annotation Model for Multi-modal Short Videos Based on Deep Neural Network

Abstract Video content analysis has a variety of application scenarios, including automatic content-based indexing and retrieval, video surveillance content description, automatic addition of dialogue subtitles for video, etc., which are urgently needed by enterprises and governments. These application scenarios currently require a large amount of manpower to label the specific content of the video, training the relevant personnel will cost a lot of resources, and the efficiency of manual labeling is low, if we can use computers to automatically analyze the video content will save a lot of costs for the relevant industries and bring revolutionary development. Traditional video analysis methods mainly rely on manually constructed features for matching to achieve the coarse classification of video, often dividing the video into a few categories or a dozen categories simply, which cannot be in line with the era of big data. Therefore, how to use the existing data resources and technical means to complete the content analysis of videos gradually becomes the focus of research. For the characteristics of large data volume and real-time of short videos, fast extraction of key frames containing the main information is the direction to focus on. In this paper, we will consider the characteristics of short video multi-modality and fully exploit the information of each modality of short video. We focus on the semantic annotation methods for short videos. To address the problem that traditional video analysis methods cannot obtain high-value semantic information within the video, this paper first obtains key frames from the video that represent the main information of the video by key frame extraction technique. Based on migration learning, we use pre-trained models to improve the target detection and image description algorithms, extract the high-value regions in key frames, and perform semantic description. The research can better address the needs of short video content analysis and provide data basis for subsequent deep application scenarios.
Retracted: Exploration and Research on Smart Sports Classrooms in Colleges in the Information Age

[This retracts the article DOI: 10.1155/2022/2970496.].
Retracted: A Real-Time Medical Ventilation on Heart Failure Analysis Based on Sleep Apnea Snore and Meta-Analysis

[This retracts the article DOI: 10.1155/2022/9979413.].
Legal issues of the broadcast and simultaneous Internet transmission of open university courses

Purpose The purpose of this paper is to investigate the legal issues of simultaneous Internet transmission of broadcasting programs of the Open University of Japan (OUJ) and to take legal measures to promote the mutual utilization of open university courses in Japan, the UK, China and Korea. Design/methodology/approach The author examines the legal relationship regarding Internet simultaneous distribution of broadcast courses at the OUJ. The author then considers the legal relationship between the UK, China and South Korea regarding the simultaneous transmission of broadcast courses over the internet. Based on that consideration, this paper clarifies legal measures to promote its utilization. Findings Internet transmission of broadcasting courses will be webcasting. Arguably, it can be assumed to be streaming and on-demand, albeit controversial. Webcasting will be publicly transmitted, but there is only an on-demand provision for Internet transmission. As webcasting is streaming and on-demand, it involves reproduction of broadcasting courses. Therefore, webcasting needs to provide streaming provision for public transmission rights and associate them with reproduction right. Originality/value The originality of this paper lies in clarifying the legal response of the object, subject and rights of webcasting from the perspective of the OUJ, in order to dispel legal problems that may arise in the future against this unexplored phenomenon. Additionally, this paper is valuable in that it presents legal consistency from the point of view of the comparative laws of Japan, the UK, China and South Korea, based on an examination of the legal response in Japan.
PENGENALAN PEMROGRAMAN KOMPUTER MENGGUNAKAN HP UNTUK SISWA SMK

SMK Pangudi Luhur Leonardo Klaten is children of productive and innovative ages. So it is necessary to get additional knowledge to increase the power of innovation, especially in the face of increasing competition. Computer programming skills can increase creativity. Computer programming can help improve work efficiency, such as repetitive calculations often encountered in the design of machine elements. However, computer programming generally requires a computer or laptop, which is an obstacle for students in learning programming because they generally do not have computer or laptop facilities. In this service activity, the community service team will introduce another alternative to learning programming, namely using a cellphone (HP). Students from the two vocational schools have cellphones, but they have not been used for programming. The students are generally new to using cellphones for communication, social media or games (games). The HP has not been used as a learning tool due to ignorance, the impression that programming is complicated, and not realizing the benefits of programming itself. The service team will introduce programming using cellphones to change the paradigm so that it is hoped that students can develop programming skills independently from this service activity. It is hoped that vocational students will be more creative and develop programming skills according to their work. In addition, the output targets of this service are sending articles to community service journals uploading information on the web and social media.
Covid-19 apps, Corona vaccination apps and data “ownership”

Abstract Already before the present Covid-19 health crisis an emerging trend could be seen towards offering health services from a distance, called “e-health”. This trend, like so many other developments towards digitalisation of our societies, received a considerable impetus because of the Covid-19 crisis. First, the rise of Covid-19 tracing (and/or tracking) apps and now to be followed by the advance of Corona vaccination apps has made us aware of the benefits which e-health may bring, particularly in a situation where distance means safety. The apps contain very personal information and, consequently, have provoked questions as to whether the apps sufficiently protect a person’s right to privacy and data protection as safeguarded by the EU’s General Data Protection Regulation. The nature of the data, however, is such that also questions as to the importance of access by public health authorities in the public interest can be asked. Also, although commercial, but still important for developing and producing vaccines, for the pharmaceutical industry the data are important. The result is a conflict particularly between entitlement to privacy protection and the general interest, causing questions to be asked about which interest has priority. It might very well be, however, that this question, asked as such, is beside the point. Given that data are non-rivalrous and non-depletable, because they can be copied and copied, questions about which entitlement has priority cannot be answered in absolute terms. Rights regarding data depend upon who at a particular time has control over the data, who else has control and what control between all those involved then means. Looking at who has which right to data one can see an entitlement paradigm surfacing which is multi-perspective, relative and dynamic. Calling data entitlement “ownership” is not a reference to ownership in the traditional sense of the word, but to management. To decide what management in a particular situation means interest balancing exercises must be made. These exercises will change over time, as accordingly will the answer to the question who is “owner” of data in Covid-19 and Corona vaccination apps.
Continuous Leakage-resilient and Hierarchical Identity-based Online/Offline Encryption

&lt;p&gt;By dividing encryption as online and offline stages, the online/offline encryption schemes are very suitable to lightweight equipment. For the offline stage, high-performance equipment is used for complex preprocessing calculation, and the online stage the lightweight devices only make some simple calculations. In addition, side channel attacks can disclose some secret information of the cryptosystem, which leads to the destruction of the security of the cryptography schemes. Most of the online/offline identity-based encryption schemes cannot resist side channel attacks. The paper proposes a concrete hierarchical identity-based and online/offline encryption scheme that can resist continuous leakage of secret key. By the dual system encryption technology, we prove that the given scheme is fully secure. Through key updation technology, our proposed scheme resists continual leakage of private key. The relative leakage rate of the private key can reach 1/3. In addition, the presented scheme has the hierarchical function which effectively solves the problem of heavy load in a single key generation center. The given scheme is suitable for applications in distributed environment.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;