Reviewerly/exHarmony huggingface dataset:
Combating the Crime of Establishing a Terrorist Website in Omani Law: Comparison with International Criminal Law

Combating the Crime of Establishing a Terrorist Website in Omani Law: Comparison with International Criminal Law Ali Mohammed Salim Al-Adawi Abstract In light of the enormous revolution in the field of information technology (IT), which has facilitated the lives of people and made the world a small village, so many vital facilities, such as transportation, power plants and others, have been managed in several countries thereby saving a great deal of effort and time. Nevertheless, some of the crimes that accompany these technologies (Electronic Crimes) have put in front of the international community a major challenge of reducing or controlling these crimes. Perhaps the crime of creating a terrorist website is at the forefront of these crimes, which require concerted efforts and continual follow-up by the international community to monitor their activities and defeat their attacks. Electronic technology has provided the ideal climate for terrorists to spread their terrorism around the world and threaten world peace. The Omani legislator, like other international legislators, is concerned about the modern crime that coincides with or accompanies the advent of this technology. He quickly enacted legal legislation to deal with these criminal phenomena, including the phenomenon of establishing terrorist websites, by setting a law for combating the crimes of information technology, which treats this crime in one of its sections. This research paper highlights this serious crime from the perspective of Omani law and international criminal law in terms of objectivity to find outany possible areas of lacunae. The study depends on the inductive and analytical comparative methodology.The research is divided into four aspects: The first deals with the concept of terrorism in the language and terminology contexts, examining the conventional meaning of terrorism in Islamic law, Omani law, international criminal law as well as the Islamic Fiqh Academy. The second aspect deals with the fight against establishment of a terrorist website in in accordance with the penalty text in the Omani law, cornerstone of physical and moral crime in accordance with the law of Oman, while addressing the physical elements of the physical effects that terrorists seek to achieve through this crime. The third aspect focuses on the penalty of the crime of creating a terrorist website in the international criminal law according to the international agreements issued in this regard, while the fourth aspect demonstrates recent examples of some terrorist websites. Then, the paper ends with a conclusion and recommendations. Full Text: PDF DOI: 10.15640/jlcj.v7n2a5
The effects of statistical learning and congruency on the development of multi-modal objects

The effects of statistical learning and congruency on multi-modal binding were examined. As pattern acquisition is stronger for within-object than for between-object associations, extending bias from within-object to within-modality was tested, and the statistical learning effect on between-modality learning assessed. Dyson and Ishfaq‟s (2008) paradigm was adapted, with frequency of within- and between-modality associations manipulated (Experiment 1), and frequency and congruency manipulated (Experiment 2). Each experiment comprised baseline (no predictive value), intra-modal (intramodal predictive value), and inter-modal (intermodal predictive value) conditions. Experiment 1 showed faster performance for within-object judgments, and fewer errors on within-object judgments, excluding the inter-modal condition. Experiment 2 replicated this, with cross-experimental analyses showing weak congruency effects. Data showed probability manipulations led mostly to interference on same-modality trials rather than facilitation on different-modality trials, suggesting while frequency of differentmodality associations did not facilitate superior performance, perhaps expectancies of frequent different-modality associations weakened sensitivity to the within-modality bias.
A study of the impact of Knowledge Management capabilities on the organizational performance in the Pars Khodro

The purpose of this study is to investigate the impact of knowledge management capabilities on the organizational performance in the Pars Khodro. The present study, in terms of purpose is practical and in terms of descriptive data collecting method is survey type. Methodology: Statistical population included all employees working in the headquarters of Pars Khodro automotive, total number of 1200 persons. The sample size of 291 people has been determined by using Morgan table. To evaluate the knowledge management capabilities, researcher made questionnaire of knowledge management capabilities with Likert-type scale and Cronbach's alpha (reliability of 0.923) for all questions is used. Results: In order to describe the data, frequencies tables and also bar graph and pie charts are used and in the section of inferential statistics, Kolmogorov-Smirnov normality test, correlation coefficient (Pearson and Spearman), multiple regression and structural equation are used. Conclusion: Analysis of the results shows that knowledge management capabilities have a positive impact on organizational performance.
Keyword Search over Distributed Graphs with Compressed Signature

Catchphrase search graph has attracted tons research interest, due to the fact the version diagram can speak pleasant for maximum prepared and dependent database and scan the slogan can launch good sized statistics to the customer with out simple data about the sample and language questions. Practically speaking, information photographs may be very huge, for instance, Web-scale diagram containing billions of vertices. The fine in elegance technique utilizing delivered collectively for the calculation of the slogan seek process diagram, after which they do now not deserve to chart a totally huge, because of confined computing power and further area at the server focused. To remedy this hassle, we look at the slogan test graph scale web page is introduced in splendid situation. We first offer calculation effortlessly believe the response request productive questions. In any case, the calculation of flood searching harmless make use of search techniques that obtain huge time and system overhead. To treatment this weak point, we're at that time advise pursuing calculation based totally marks. In precise, we construct that encodes vertex signatures short way an excellent manner from factor to some random catchphrase in the graph. Thus, we can locate solutions to questions by investigating the dearth of way, with the aim that point and correspondence low value. In addition, we changed the diagram facts in the organization after dividing irregular underlying with the goal that the method is primarily based at the sign greater interesting. Finally, the results of our trial show achievability of our proposed method in carrying out watchword top view diagram statistics Web scale.
A Supervised Hybrid Statistical Catch-Up System Built on GABECE Gambian Data

In this paper we want to find a statistical rule that assigns a passing or failing grade to students who undertook at least three exams out of five in a national exam, instead of completely dismissing these students. While it is cruel to declare them as failing, especially if the reason for their absence it not intentional, they should have demonstrated enough merit in the three exams taken to deserve a chance to be declared passing. We use a special classification method and nearest neighbors methods based on the average grade and on the most modal grade to build a statistical rule in a supervised learning process. The study is built on the national GABECE educational data which is a considerable data covering seven years and all the six regions of the Gambia.
Project-computer technology in teaching english academic writing to students of linguistic higher educational institutions

Teaching writing in English is one of the principal tasks of English training of students in linguistic higher educational institutions, i.e. of training future teachers of English, translators, and applied linguists. This is due to the fact that written speech is more and more taking the position of the leading form of international communication in English as the global/planetary language of such communication, especially if that communication is professional, and, in particular, the academic one. For students of linguistic higher educational institutions, the main constituent of their English writing training is teaching them English academic writing (i.e. writing academic essays) because gaining command of just such writing skills serves as the basic means of mastering the skills of writing in English the most sophisticated types of written papers, such as professional articles, theses, presentation texts, etc. This kind of teaching only now begins to be researched in Ukrainian methodology of foreign language instruction, while using the project-computer methodology for that has not been researched at all as yet. This was the stimulus for choosing the above-mentioned issue as the subject matter of consideration in this article. It analyzes the project-computer technology developed by the authors and consisting of 12 stages of forming students’ academic essay writing skills in three selected subgenres of such essays (“personal opinion,” “for and against,” “problems and solutions”). All these stages are divided into the stages of off-line (purely project stages) and stages of blended off-line – on-line and purely on-line learning activities (project-computer stages). The characteristics of every stage are discussed and the model of the teaching/learning process in the conditions of using project-computer technology is suggested. The information concerning the practical efficiency of this technology is given. The conclusion is made about the rationality of introducing such a technology into courses of English at both linguistic and non-linguistic higher schools. Keywords: linguistic higher educational institution, academic writing in English, project-computer technology, stages of developing academic writing skills.
ElBench: a microbenchmark to evaluate virtual machine and container strategies on executing elastic applications in the cloud

One of the main features of cloud computing is the elasticity of resources. Virtual machines (VMs) are the typical implementation of this feature since they offer mechanisms for replication and isolation. In addition to VMs, today we perceive the emergence of the container technology to implement these facilities; however, our investigation did not list an initiative that describes a comparison formalism to evaluate both techniques to run HPC elastic applications in the cloud. This article explores this gap, presenting a microbenchmark named ElBench, which focuses on providing a framework to compare VM and container on executing elastic parallel applications in the cloud. Using AutoElastic, a middleware to run elastic parallel applications in the cloud, a scientific application and two workloads, ElBench methodology generated results in favour of containers: on average, compared to VMs they provide a gain of 20% in the execution time and 60% savings in terms of cost.
Getting to Know about Readability Level

English is a language that is still difficult to "conquer", especially with its status as a foreign language. Not only is it difficult in terms of pronunciation, but also most Indonesians still have difficulty understanding the English translation text that has been translated into Indonesian. This study will explain the level of readability of a reading text. The level of readability greatly affects how a text can be understood by readers who come from the target language. There are 3 (three) readability levels: high, medium, and low readability. In addition, there are several things that affect the readability of a translated text, such as the use of new words, idioms, and taxa sentences. Translating a word or a reading text not only requires knowledge of translation techniques but also the translator's competence and understanding of the context of the text to be translated.
Towards characterising architecture and performance in blockchain: a survey

Since the launch of Bitcoin, the interest in blockchain technology has grown over the years and has attracted many researchers. There are several proposals to improve the performance of the blockchain, however, these proposals bring a series of changes, which are difficult to implement and most of them are not compatible with existing applications. The current limitations prevent blockchain from being used on a large scale for other types of applications or even replace the currently known electronic payment methods, making studies necessary to address these gaps and evolve the technology. This paper presents a literature review of blockchain technology with a focus on architecture, security, and performance, providing an understanding of the main features and exploring the current open gaps, in light of the main tools used in the systematic literature review methodology. A taxonomy is also proposed to support design solutions and helping to classify blockchain systems.
Efficient Hybrid Research for QoS-Aware Microservice Composition

Recent advances in the E-business enable the evolution of software development paradigms. MSA is emerging as an alternative approach to SOA and claiming to resolve various challenges in the software development mechanism. Microservices can be implemented as an independent module for software development. In the growing business era, the user requirement is complex and dynamic. User dynamic requirement is a challenge and cannot be completed by a single microservice hence there is a need of service composition in order to fulfill user dynamic business-related queries. For the appropriate service selection, QoS ontology semantic annotation is performed. There are two service composition methods are available i.e. orchestration and choreography. In this paper, we proposed an effective and efficient hybrid approach for the service composition.
Peraluminous Minerals from Chromite Layers in the Fiskenæsset Complex, Greenland

An unusual assemblage of peraluminous minerals (Crn+Spr+Spl) occurs in highly calcic anorthosite of the Neoarchean layered megacrystic Fiskenaesset Complex, West Greenland.The spinel grains are enriched in Al and Cr.Cr-rich spinel (chromite) has compositional zoning due to loss of Cr and Fe and gain of Al towards the rim.However, the chromite core has Cr# and Fe# similar to that of other chromites in the Fiskenaesset Complex, which is known for its abundant chromites that have low Cr# (0.405-0.653) and high Fe# (0.614-0.957).Loss of Cr and Fe from core to rim indicates the role of chromite in generating Al-rich spinel that has ~7 wt% of Cr.More than 1 wt% of Cr in the sapphirine comes from the controlling chromite.Plagioclase coronas that contain Al-rich spinel/plagioclase symplectites; these occur along fractures in corundum and sapphirine indicative of late metasomatic reactions.Proximal to chromite is ruby corundum with a sapphirine corona, which in turn is mantled by anorthite; this mineral reaction is explained by: Corundum (Al2O3) + Plagioclase (CaAl2Si2O8) → Sapphirinecorona (Mg,Al)8(Al,Si)6O20 The anorthite separates calcic amphibole from sapphirine; the amphibole and plagioclase have similar compositions as those in surrounding chromite-layered anorthosite.These relations suggest that sapphirine and Al-rich spinel formed by metamorphism of highly calcic anorthosite containing chromite.
Introduction to Cognitive Virtual Bots

The technologies being implemented today are no longer the stuff of science-fiction; virtual reality and much more is now possible.
RISKS OF THE EDUCATION

The article justifies for the need to identify and to keep track, in practice, of different groups of risks inherent in educational institutions under current conditions of pandemic and post-pandemic transformation of education under the influence of modern world uncertainty. Transformation of education functions in the epoch of digital economy changes the content and types of risks concomitant to the activities carried out by schools. Schools belong to the most conservative types of organizations. However, the environment in which schools operate is constantly changing. An educational institution, as any enterprise, has to engage in the activity aimed at risk management. Manifestation of the risk is, on the one hand, fraught with threats and damage, on the other hand, with opportunities. Assessment of possible threats and risks allows timely projection of undesirable results, creation of a system for situational response to unforeseen circumstances and, in the final analysis, formulation of a strategy for development of the university which would allow achievement of modern high quality education, its fundamentality and conformity to important topical requirements of the personality, society and state. Causes of developing risks characteristic of educational institutions are disclosed. External and internal risks characteristic of educational institutions, sources generating them and the importance of managing them are analyzed. The analysis of risks made reveals multi-varied threats and opportunities in the external and internal envi-ronment of the institution and their ability to have a significant effect on educational, organizational and financial activities of the schools.
Review the implementation of information security management system requirements in hospitals of Tabriz in East Azarbaijan

The purpose of this study was to investigate and analyze the assumptions and requirements for the implementation of Information Security Management System (ISMS). Methodology: To check assumptions security management system implementation is the population of Tabriz hospitals. Review the requirements and assumptions are based on the standard ISO / IEC 27001, ISO / IEC 27002 test target setting and ISO 27001 standard questionnaire containing 33 questions in 11 control is used. The data were analyzed using descriptive and inferential statistical method that factors in the implementation of information security management system was confirmed. As well as to identify factors contributing to the implementation of information security management system and factor analysis, structural equation model was used PLS smart software that based on its findings to impact and indirect aspects of implementation effectiveness of the system. Results: Using the software, smart-PLS and using structural equation modeling confirmatory factor analysis was performed to measure the test of convergent validity, divergent validity, reliability Security and reliability of observable variables and quality test and measurement model of the 101 comments experts, all the prerequisites and requirements, including information security policy, the organization of information security, asset management, human resources in terms of security, physical and environmental security, communications and operations management, access control, use, development and maintenance, incident management information security, business continuity management and compliance with laws in secure level at %99 is forecast in Tabriz hospitals are effective information security management system. Conclusion: According to prioritize the factors affecting information security management system, operating (after) the most monitors and agents (after) the supply and implementation of information security management system least affected are in Tabriz hospitals.
Naïve Bayes SentimentAnalysis with Fixed and Variable Length Classes Training Data Sets

The tremendous development in technology has led to the increasing number of people that join social networks to share information, opinion and so on.With these developments, the social networks are big targets and easy place to capture many people's opinions about certain things.A lot of works have been done by many researchers on the extraction of sentiments from various data sources.Different works employed differenttechniques and approaches.This particular work investigates the training dataset input.We categorized the training datasets into two (2) and termed them; the Variable Length/size (VS) training dataset and the Fixed Lengths/size (FS) training datasets.In the FS, we took the number of positivedocuments equals the number of negative documents.In the VS, we took the number of positivedocuments greater than the number of negative documents (VS positive) and vice versa (VS negative).Binary Naï ve Bayes algorithm was used to test the FS, VS positive and VS negative training datasets on the test dataset.The results showed that, it is better to use the FS training dataset, and if the numbers of positive and negative texts are going to be unequal, then the ratio number of one class to the other should be very small.We can conclusively say that, the wider the ratio the less accurate results, and the narrower the ratio, the more accurate the results.
An optimized SVM kernel for texture classification and its application in microcalcification detection

Mammograms, commonly used to diagnose breast cancer, are difficult medical images to interpret. Computer aided diagnosis (CAD) systems have the potential to assist radiologists by locating suspicious regions in the mammograms for more detailed examination. One approach is for CAD systems to detect microcalcification. This approach uses classification of texture features and has applications for the detection of breast cancer as well as other abnormalties in medical images. The Support Vector Machine (SVM) has been shown to be effective in texture classification. SVM performs well in high dimensional space such as the space spanned by texture images. The kernel function in SVM algorithm implicitly performs feature extraction. Since SVM is basically suited for two-class classification problems, it is potentially a good choice for several different medical imaging which deal with abnormality detection. The main contribution of this thesis in the sense of texture classification is proposing a new texture classification algorithm by effectively employing external features within SVM kernel and introducing a new feature extraction method for texture classification.
Significance of the Leading Programming Languages

In today's technology era, programming is more essential than ever. Python and C++ are the most widely used programming languages. Python, the most popular programming language of the twenty-first century, is a higher-level object-oriented language, while C++ (the language that powers most operating systems) is a lowerlevel object-oriented language. Python and C++ are compared in this article. This book covers an introduction to various languages, memory management techniques, and reasons for their program execution speed. Furthermore, this study looked at the execution time and memory requirements of a variety of algorithms in both languages, comparing the best, average, and worst situations in each language. Furthermore, they are compared in terms of their benefits and drawbacks. C++ is faster than Python in terms of execution speed, according to the findings, but Python is a better option for beginners due to its simplicity. Aside from that, the language should be selected depending on the project type in order to get the best results. Programmers play a crucial role in computing. C/C++, Python, and Java are the most common languages. Beginning programming classes often utilize C++ and Java. Python has grown in popularity as an introductory programming language due to a variety of reasons. As an entry-level programming language, C, C++, Java, and Python were compared. More students selected Python over C++ because of its simpler pseudo-code syntax, better learning environment, and greater abstraction.