Reviewerly/exHarmony huggingface dataset:
Cyber Security Strategy for Developing Countries Reference to Afghanistan

Abstract Growing and development of country is related to the cyber space, most of country invested large amount of budget on cyber space software. According of formal documents and information, Afghanistan is in the process of integrating ICT into its important information structure and technology. For executing the integration country may face to different challenges that involving in cyber security. Due to various potential threats and risk on cyber security in Afghanistan, there is need for an extensive and comprehensive strategy. Based on official documents Afghanistan has introduced an ICT security law in 2011. However the fast growth of internet in private sector and governmental sector in the last five years, cause to Afghanistan must introduce a comprehensive and appropriate cyber security strategy to cover all risk and issue that is related to this arena. The aim of this research is to propose a comprehensive and complete cyber security strategy based on developed countries experiences in the field of cyber security, specifically India, because India has good situation in technology and has common benefits; furthermore India is considered as developed country in term of technology and cyber security. Therefore, based on literature review and official documents, the current position of Afghanistan ICT as well as cyber threat were identified and detected in context to Afghanistan. To evaluate the situation of Afghanistan cyber security and India cyber security, some cyber security experts were interviewed and according their suggestion, and literature reviewed on developed country, a comprehensive strategy framework was suggested for Afghanistan to address ever growing cyber-attacks and treats. Keywords: cyber security, cyber space, cyber-attack, cyber security strategy.  Cite this Article Mohammad Salem Hamidi, Baldev Singh. Cyber Security Strategy for Developing Countries Reference to Afghanistan Journal of Advances in Shell Programming. 2018; 5(3): 23–26p.
Analysis Model of Detection Level of Food-Stood Railway and Reservation with Fuzzy Set Theory in Yogyakarta

Abstract. In Indonesia, the soil conditions of each region are of course different, depending on the type of soil and the geographical location of a place or an area that affects the soil quality. For farmers, especially in the countryside, to understand the knowledge of good soil quality is difficult and it takes a long time to determine the right types of plants to plant in accordance with the soil. For that, it needs a strategy in knowing a polluted land or not especially for farmers. The purpose of this paper is to assist the process of dissemination of information and knowledge through calculations using fuzzy logic. In this research, the data that is processed is the land aspect data as a benchmark in determining whether or not soil contamination includes soil pH or soil acidity, soil minerals, soil structure and soil nutrients. At this writing is done fuzzy calculation analysis with Sugeno method. In this paper shows that the results obtained by the Sugeno method have results that are less in accordance with the actual data.
Analysis of biometric data using watermarking techniques

This paper evaluates and analyses the discrete wavelet transform (DWT) frequency bands for embedding and extracting of the biometric data using DWT single level and multilevel watermarking approach with and without the use of alpha blending approach. In addition, singular value decomposition (SVD) combined with DWT is used to embed and extract the watermark image. The performance of compression and decompression approaches has been analyzed to examine the robustness and to check whether the compression function does destroy the integrity of the watermarked image. We investigate the proposed approach to understand how robust the watermarked on different sub-band is against the image processing and geometric attacks. The experimental results show that the DWT multilevel and SVD watermarking approach is more robust than the other watermarking methods implemented in this paper. The DWT bands dominate the approximate coefficient band (LL) in high-intensity alpha value. When the intensity is reduced, the coefficient standout to be very robust against the remaining bands.
DUAL EDUCATION IN THE SPHERE ОF AUTOMOTIVE INDUSTRY

This paper is devoted to the consideration of one of the innovative direction in higher education – dual education, which is especially acceptable in the sphere of automotive industry higher education. Role of the automotive industry enterprises in the educational process of technical higher education institutions is revealed. Examples of the dual education best practices in Germany and Ukraine are shown. Perspectives of dual education development in the Republic of Belarus are investigated, the experience of its elements using in different Belarusian higher educational establishments is shown. Possibility of dual education implementation in Belarusian National Technical University is substantiated, including their realization within international educational projects.
Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes

Large pre-trained neural language models (LM) have very powerful text generation capabilities. However, in practice, they are hard to control for creative purposes. We describe a Plug-and-Play controllable language generation framework, Plug-and-Blend, that allows a human user to input multiple control codes (topics). In the context of automated story generation, this allows a human user loose or fine-grained control of the topics and transitions between them that will appear in the generated story, and can even allow for overlapping, blended topics. Automated evaluations show our framework, working with different generative LMs, controls the generation towards given continuous-weighted control codes while keeping the generated sentences fluent, demonstrating strong blending capability. A human participant evaluation shows that the generated stories are observably transitioning between two topics.
The Effect of Using PQ4R Method on Students’ Ability in Reading Comprehension at Eight Grade Studets of SMP N 3 Satu Atap Pangkalan Susu

This study aims to determine the effect of using PQ4R method on students’reading comprehension. The subject of this research was students of SMP N 3 SatuAtap Pangkalan Susu at eight grade. This research were used quasi experimental withpre-test and post-test design. In this design there was two groups, namely groupsrandomly selected experimental and control groups. The researcher were use twoclasses as sample in this research, they were VIII A that consisted of 30 students ofexperimental class and VIII B that consisted of 30 students of controlled class,namely class VIII A was an experimental class and given action was used the PQ4Rmethod and class VIII B was controlled class in this study given used conventionalmethod. This research were used quantitative method. The findings of this study thatt-observed (3.79) was higher than t-table (1.674) at the level of significance ofα =0.05and at the degree of freedom (df) = Nx + Ny – 2. Where Nx the total numbers ofExperimental class is 30 and Ny was the total numbers of c ontrol class is 30. Thus, df= 30 +30- 2= 58. Based on the data, it can be concluded that there was a significanteffect between using PQ4R method and conventional method on the students’achievement in reading comprehension.
A Cloud Privacy-Preserving Model Using Gaussian Mutation-Based Bacterial Foraging Optimization and Genetic Crossover Operation

Abstract The necessity of security in the cloud system increases day by day in which the data controllers harvest the rising personal and sensitive data volume.The cloud has some unprotected private data as well as data that has been outsourced for public access, which is crucial for cloud security statements. An advanced legal data protection constraint is required due to the resultant of repeated data violations. While dealing with sensitive data, most of the existing techniques failed to handle optimal privacy and different studies were performed to take on cloud privacy preservation. Hence, the novel model of privacy preservation in the cloud and artificial intelligence (AI) techniques were used to tackle these challenges. These AI methods are insight-driven, strategic, and more efficient organizations in cloud computing. However, the cost savings, agility, higher flexibility businesses are offered with cloud computing by data hosting. Data cleansing and restoration are the two major steps involved in the proposed privacy replica. In this study, we proposed Chaotic chemotaxis and Gaussian mutation-based Bacterial Foraging Optimization with genetic crossover operation (CGBFO- GC) algorithm for optimal key generation. Deriving the multi-objective function parameters namely data preservation ratio, hiding ratio, and modification degree that accomplishes optimal key generation using CGBFO- GC algorithm. Ultimately, the proposed CGBFO- GC algorithm provides more efficient performance results in terms of cloud security than an existing method such as SAS-DPSO, CDNNCS, J-SSO, and GC.
An Algorithm of Tracking and Controlling Network Attack Node based on Adaptive Neural Networks

In order to obtain certain and comprehensive information for formulating network attack strategy, a complex network attack method is proposed in this paper. The attackers’ income, loss, cost and encountered risk in network attack are analyzed and index system is established to evaluate attack effect of network node with dynamic Bayesian network. This method can overcome defects of static evaluation which is relied on single index of network topology. Simulation experiment shows that this method combines more nodes and observation during the attack. It can avoid the gap between actual attack effect and theoretical expectation when attack is implemented by relying on static evaluation. In the meanwhile, it is more accurate in attack precision and of high attack efficiency
유아의 댄스 리터러시 함양을 위한 LMA 무용교육 프로그램 적용사례

The purpose of this study was to develop the LMA dance education program for cultivating young children''s dance literacy and to verify the effect of the program. In order to develop the program for young children''s dance literacy, this study conducted the LMA dance education program for young children. From the analysis, the program was found to be effective in enhancing children''s perceptual motor ability, creative physical expression ability, spatial ability and social ability.The program developed in this study can be used as a positive example for the development of dance literacy in children.
Strong following earthquake forecasting by a pattern recognition approach in California&amp;#160;

&amp;lt;p&amp;gt;During seismic clusters, strong earthquakes (e.g. the mainshocks) are sometimes followed by another strong following earthquake, very dangerous because it strikes already damaged structures. To forecast the occurrence of such subsequent large earthquakes (SLE), we proposed a pattern recognition approach based on seismological features. The method, called NESTORE, has been successfully applied to northeastern Italy and western Slovenia (Gentili and Di Giovambattista, 2020) and to all of Italy (Gentili and Di Giovambattista, 2017). In this study, we will present the results of the application of NESTORE to California seismicity. NESTORE method is adaptive and depends on the region analyzed. During the supervised training phase, some features are selected as the best-performing ones in the analyzed area, which will be used for classification. Tests of this method demonstrate good performance for California seismicity.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Redes sociales en la educación universitaria

espanolLa revolucion informatica ha generado nuevos espacios de relacion y vias de comunicacion, ocio e informacion, como pueden ser las redes sociales. Su uso se ha convertido en algo habitual para desenvolverse en la sociedad actual, pero paradojicamente esta realidad esta, en muchos casos, al margen de las aulas, aunque cuenten con un enorme potencial educativo. En los jovenes esta realidad es mas evidente, ya que utilizan principalmente las redes sociales para comunicarse, pudiendo convertirse en una herramienta potencialmente educativa en el ambito universitario. Asi nos planteamos los siguientes objetivos: favorecer el aprendizaje cooperativo del alumnado; utilizar las potencialidades educativas de las Redes Sociales; desarrollar un aprendizaje del alumnado mas activo y participativo y contribuir a una mayor comprension de los contenidos de las diferentes materias implicadas. Basicamente hemos seguido el Blended Learning, combinado con Flipped Classroom y el uso de la red social YouTube. Los resultados conseguidos han sido: una mayor comprension de los contenidos de la materia, papel mas activo del alumnado y fortalecimiento de la competencias digitales. EnglishThe computer revolution has generated new spaces for relationships and communication, leisure and information channels, such as social networks. Its use has become commonplace to function in today’s society, but paradoxically this reality is, in many cases, on the fringes of the classrooms, although they have enormous educational potential. In young people this reality is more evident, they mainly use social networks to communicate so that they can become a tool with educational potential in the university environment. This is how the following objectives were set: To favor the cooperative learning of students; To use the educational potential of Social Networks; To develop a more active and participative student learning and contribute to a greater understanding of the contents of the different subjects involved. Basically, we have followed a Blended Learning format, combined with the Flipped Classroom methodology and the use of the YouTube social network. Results obtained were: a greater understanding of the content of the subject, more active role of students and strengthening of digital skills.
Effect of the size of government spending on corruption in sub-saharan african countries

Previous work on the effect of the size of government spending on corruption has led to mixed results. In order to explain those ambiguous results, this paper aims to analysing the effect of the size of government spending on corruption in african countries by considering three indicators, namely government final consumption expenditure, public health expenditure and military expenditure. Using annual data on a panel of thirty nine african countries over the period 2000 - 2017, the results show that government final consumption expenditure and public health expenditure have a negative effect on the level of corruption, and that military expenditure leads to an increase in corruption. In addition, the identification of transmission channels for the effects of the size of government spending on corruption was highlighted. As robustness and to address endogeneity problems, we conduct the instrumental variables estimation and the results reveal that our main findings are robust. The study suggests intensifying the fight against corruption by strengthening the quality of institutions and improving the functioning of the judicial system.
Expert System for Diagnosing Diseases in Cats that Can Contagious to Humans Using the Certainty Factor Method: Expert System for Diagnosing Diseases in Cats that Can Contagious to Humans Using the Certainty Factor Method

Cats are one of the most popular pet in the world. In addition to adorable, maintenance is not too much trouble is also a reason that makes this animal rage. However, the way poor maintenance can make a cat exposed to various diseases. Some diseases in cats can even be transmitted to humans. For this reason, research was undertaken to design an expert system to diagnose the disease in cats that can be transmitted to humans using the method of Certainty Factor, so that the cat's owner can recognize the symptoms of the disease in cats peliaharaannya. Black box testing results show that the features of the application has been running well. While the validity of the test showed that the data are in accordance with the reference books.
An Analysis on the Purpose of Ues, Satisfaction and Perception of Performance Outcomes of the University Information Disclosure System in Korea

The purpose of this study is to analyze the purposs of ues, satisfaction and perception of performance outcomes with the university information disclosure system to confirm whether it satisfies the public's right to know, and whether it provides users with customized information. The subjects of the study were 409 university professors, 175 university employees, and 102 high school teachers using the university information disclosure system. For data analysis, descriptive statistical analysis and multiple correspondence analysis were conducted on the purpose of use, satisfaction, and perception of performance outcomes of the university information disclosure system.The analysis results show, first, the overall satisfaction with the university information disclosure system is generally high. In particular, the overall satisfaction level for the purpose of'Acquiring admissions information and research evaluation' was highest at 4.05, followed by'Acquiring university information and research evaluation' at 3.97, 'Acquiringadmission information' at 3.90,'Acquiring research and evaluation information' at 3.88, and 'Acquiring university information' at 3.87, and'Acquiring university admissions and university information' at 3.56. Second, the performance perception of the university information disclosure system was also high. In particular, the'Satisfaction/fulfillment of the public’s right to know' was the highest at 4.11, followed by'Improving accountability' at 4.04 and'Providing appropriate data' at 3.84, and'Choice of university program' was lowest at 3.59. Third, the relationship between the purpose of using the university information disclosure system, satisfaction, and performance perception has been shown to have very similar levels of satisfaction. When the purpose of use was ‘Acquiring admission information’, the satisfaction and performance perceptionwas relatively low compared to other purpose of uses.
‘Software’: clear and precise?

General Court, T-56/20, VROOM, EU:T:2021:103, 24 February 2021 The General Court maintains computer software as a sufficiently clear and precise category of goods, storing up problems for the future. Article 33(2) of the EU Trade Mark Regulation 2017/1001 (EUTMR) provides that: The goods and services for which the protection of the trade mark is sought shall be identified by the applicant with sufficient clarity and precision to enable the competent authorities and economic operators, on that sole basis, to determine the extent of the protection sought. On 6 December 2017, the Bezos Family Foundation (the applicant) filed an application for the word mark ‘VROOM’ for ‘computer software, namely a mobile application for providing information and learning and educational activities and games in the field of early child development and early childhood education’ in Class 9. On 27 April 2018, SNCF Mobilités (the opponent) filed an opposition...
IKM-NCS: A Novel Clustering Scheme Based on Improved K-Means Algorithm

Aiming at the problems of distorted center selection and slow iteration convergence in traditional clustering analysis algorithm, a novel clustering scheme based on improved k-means algorithm is proposed. In this paper, based on the analysis of all user behavior sets contained in the initial sample, a weight calculation method for abnormal behaviors and an eigenvalue extraction method for abnormal behavior set are proposed and a set of abnormal behaviors is constructed for each user according to the behavior data generated by abnormal users. Then, on the basis of the traditional k-means clustering algorithm, an improved algorithm is proposed. By calculating the compactness of all data points and selecting the initial cluster center among the data points with high and low compactness, the clustering performance is enhanced. Finally, the eigenvalues of the abnormal behavior set are used as the input of the algorithm to output the clustering results of the abnormal behavior. Experimental results show that the clustering performance of this algorithm is better than the traditional clustering algorithm, and can effectively improve the clustering performance of abnormal behavior
THE COMPARISON OF RESIN-BASED COMPOSITES PHYSICAL PROPERTIES BETWEEN BULK-FILL TECHNIQUE AND INCREMENTAL TECHNIQUE

ABSTRACT:Composite resins are currently the most popular restorative material in dentistry. This is due to good aesthetics and maximum conservation ability. Behind these advantages, there are disbenefits of composite resin materials, such as polymerization shrinkage, which can lead to restoration failure. Various attempts have been investigated to reduce the shrinkage incidence of composite resins, one of which is the technique of placing the restorative material into the cavity. The restoration filling technique is recognized as a significant factor in shrinkage stress. By using a special filling technique, the polymerization shrinkage damage stress can be reduced. There are several techniques in performing composite resin fillings, including bulk and incremental techniques. These techniques have their respective advantages and disadvantages. The aim of this literature review was to compare the physical properties of composite resin restorations with bulk filling and incremental techniques. Physical properties that being studied include polymerization shrinkage, stress shrinkage, degree of conversion, bonding strength, water resorption, color stability, and temperature increase. Comparing the two techniques, composite resin with incremental filling technique has superior physical properties compared to bulk technique. From the comparison of the two techniques, the composite resin with incremental filling technique has superior physical properties compared to the bulk technique, especially in higher conversion which causes lower shrinkage stress. This situation makes the incremental technique provide better bond strength, water resorption, color stability, and lower temperature rise.Keywords: Bulk, Composite Resin, Incremental, Physical Properties, Restoration, Restoration Technique