Reviewerly/exHarmony huggingface dataset:
Behavioural Issues in Cybersecurity

This chapter begins with the challenges that organisations face in dealing with cybersecurity and looks at the critical role of individuals' cybersecurity behaviour within an organisation in ensuring the cybersecurity of the organisation as a whole. It turns to models of human behaviour and decision-making drawn from psychology and behavioural economics, examining their key insights for cybersecurity and cyber insurance. The chapter considers the Theory of Planned Behaviour, Protection Motivation Theory, and others deriving from them, while from behavioural economics and also considers Dual-Thinking Theory and Prospect Theory. Cyber insurance policies are beginning to diversify but have tended to provide three basic types of coverage: liability coverage in the event of a data breach, a means to remedy the breach, and support to repair reputational damage. A significant factor behind poor cybersecurity within organisations is that individual employees behave in insecure ways, i.e. users' lack of “secure” behaviour may leave the company vulnerable to cyber attacks.
Monotone learning with rectified wire networks

We introduce a new neural network model, together with a tractable and monotone online learning algorithm. Our model describes feed-forward networks for classification, with one output node for eac...
Efficient Virtual Reality-Based Platform for Virtual Concerts

Virtual reality is a computer-generated three-dimensional environment where seemingly real graphics are used to simulate an imaginary world. It is generally accessed by using a special VR helmet or spectacles which enable you to access this imaginary world. Virtual reality uses the concept of split-screen to project to different images to our eyes in a selected angle which makes our brain believe that we are viewing a three-dimensional image. This tricks the brain into thinking that the human is standing in a three-dimensional environment where they can move around. Over the years, virtual reality has been included in a lot of traditional fields to challenge the endless possibilities in those fields. It has been used in medical sciences to train doctors, the aerospace industry to train the pilots and astronauts, the architecture industry to obtain maximum efficiency in designing the structures, and many more fields. VR gaming is also becoming a huge market where people can interact with the game components to get a realistic experience of being in a game. VR is also being used by counselors and psychiatrists around the world to treat people with mental health problems. In this chapter, the authors use the concept of virtual reality in the live music industry to simulate realistic music concerts by designing and developing a platform to host virtual concerts using virtual reality.
Passive-state preparation for continuous-variable quantum key distribution

We conduct an experimental study of continuous-variable quantum key distribution using a passive-state preparation scheme. Using an off-the-shelf amplified spontaneous emission source, we show that a secure key can be generated over metro-area distances.
DEFINITION OF ‘DECEIT’ IN ONLINE PURCHASE: ANALYSIS OF LEGAL PROVISIONS IN MALAYSIA

It is widely known that online shopping has several advantages including time and energy-saving as well as its diversity in making choices. In spite of that, online purchasing activities are prone to a certain number of misuses, particularly to the exposure of fraud and deception by online merchants. Therefore, this article intended to address the necessity for a specific and clear definition of deceit in the context of online purchases. The need for up-to-date legal provisions is crucial to ensure consumers’ protection from any acts of deception by irresponsible merchants, taking into account the act of misleading consumers through unclear definitions and elements of deceit within online purchases in accordance with existing laws. Using content analysis methodology, the existing legal provisions on fraud have been reviewed by focusing on Section 17 of the Contracts Act 1950 in Malaysia alongside regulations on e-commerce fraud practices implemented in the United States, European Union, and Australia. Furthermore, a review of literature from past scholars is included to evaluate their point of view towards e-commerce deception. This article finds that there is a need to provide a distinct and precise definition of deceit and fraud against online purchases through existing legal provisions. It is suggested that Section 17 of the Contracts Act 1950 should include terms that denote its application in the electronic context apart from improving and clarifying the definition and elements of existing provisions to ensure the protection of consumers from the acts of deceit in online purchases.
О корректности постановки вопроса «Может ли машина мыслить?», или Какие особенности человеческого мышления способен воспроизводить искусственный интеллект?

One of the major problems associated with artificial intelligence (AI further on) and requiring solution was formulated back in the 1950s by Alan Turing. “Can a machine think?” is actually the key question in this aspect. The paper analyses various peculiarities of mind and intelligence, reveals the characteristics of human thought that are associated not only with rational activity, but also with image-symbolic one. The author demonstrates that computation ability does not allow comparison between machine “intelligence” with human intelligence, and the programme itself is incapable of reproducing basic brain functions. She also considers various features of mind and intelligence as compared to AI; proves that the machine is incapable of creating ideal space embodied as value or symbolic systems, of comprehending the beautiful and the true as the reality that defines the vector and sets the parameters of human’s vigorous activity as the creator of culture. In this regard, it is concluded that the question of whether the machine is capable of thought is not correct.
The Usability Heuristic factors for Sensors monitoring system A case study of laboratory Animal Research Center

Nowadays, information technology solutions are significant methodology to support and improve in many organizations such as governments, business companies, education and developed countries. In addition, there are several platform of technology is able to connect to people. Presence, Internet of Things (IoT) platform has an advantages value in terms of three majority points of view. Fast response, Support Human errors and Powerful Collector tool. According to a newer platform, there are some significant point to research about user experience (UX) and user interface (UI). This research focuses on user’s interaction and their responses while they were using a sensors monitoring system to find an important factor of usability heuristics (USH) Jakob Nielsen’s 10 general principle for interaction design with two different software version. The first version has been used about a year after that researchers’ team collect a weak point factor to develop into a new version. Both IoT versions are used to ensure that these factors can be significant factors as a part of IoT platform development by using Chi Square statistical. Moreover, this result from Chi Square statistic method is a valuable key to implement a beneficial human interaction of  IoT system. Lastly, the case study has been used the real world software which is being use at laboratory animal research center(LARC), University of Phayao
Constructs, restrictions, and class properties

In this chapter, we will see how to handle all the OWL constructors in Python with Owlready. We will also see the different “shortcuts” that Owlready offers to facilitate the use of constructors and in particular restrictions.
Pengaruh Keterampilan Membaca Pemahaman Melalui Strategi Directed Reading Thinking Activity (DRTA) Berbantu Media Gambar Berseri Kelas V SDN Sudimara 13 Kota Tangerang

This research aims to determine the significant influence of reading comprehension skills between groups of students who are taught by using a learning strategy Directed Reading Thinking Activity (DRTA) assisted by serial image media and groups of students who do not use a learning strategy Directed Reading Thinking Activity (DRTA) assisted by serial image media in fifth-grade students at Sudimara 13 Elementary School Academic Year 2020/2021. This research is a quasi-experimental with a non-equivalent post-test only control group design. The research sample consisted of 51 students, consisting of 23 students of the VA class as the experimental group and 28 students of the VB grade as the control group. The sample selection uses a random sampling technique. Data on reading comprehension skills were collected using instruments in the form of multiple-choice tests. Data analysis uses descriptive statistical analysis and inferential statistical analysis (t-test). The results showed that tcount > ttable (tcount 5, 57 > ttable 1, 70). Based on the results of the study it can be concluded that there are significant differences in students' reading comprehension skills that are learned by using Directed Reading Thinking Activity (DRTA) learning strategies assisted by serial images media and students who are not taught by using Directed Reading Thinking Activity (DRTA) learning strategies assisted with image media beamed in class V at SDN Sudimara 13 in Academic Year 2020/2021.
LibGuides: I-Search Project for College & Careers: Home

This LibGuide is designed to help English 12 students search for and discover information that is immediately useful concerning post-high school career pathways.
Reproducible Research in R and R Studio, 3rd edition. By ChristopherGandrud.

BiometricsVolume 76, Issue 4 p. 1391-1391 BOOK REVIEW Reproducible Research in R and R Studio, 3rd edition. By Gandrud, Christopher. Lucy D'Agostino McGowan, Corresponding Author mcgowald@wfu.edu Department of Mathematics and Statistics, Wake Forest University, Winston-Salem, North Carolina Correspondence Lucy D'Agostino McGowan, Department of Mathematics and Statistics, Wake Forest University, Winston-Salem, NC 27109. Email: mcgowald@wfu.eduSearch for more papers by this author Lucy D'Agostino McGowan, Corresponding Author mcgowald@wfu.edu Department of Mathematics and Statistics, Wake Forest University, Winston-Salem, North Carolina Correspondence Lucy D'Agostino McGowan, Department of Mathematics and Statistics, Wake Forest University, Winston-Salem, NC 27109. Email: mcgowald@wfu.eduSearch for more papers by this author First published: 11 December 2020 https://doi.org/10.1111/biom.13396Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Volume76, Issue4December 2020Pages 1391-1391 RelatedInformation
New Plithogenic sub cognitive maps approach with mediating effects of factors in COVID-19 diagnostic model

The escalation of COVID-19 curves is high and the researchers worldwide are working on diagnostic models, in the way this article proposes COVID-19 diagnostic model using Plithogenic cognitive maps. This paper introduces the new concept of Plithogenic sub cognitive maps including the mediating effects of the factors. The thirteen study factors are categorized as grouping factors, parametric factors, risks factors and output factor. The effect of one factor over another is measured directly based on neutrosophic triangular representation of expert’s opinion and indirectly by computing the mediating factor’s effects. This new approach is more realistic in nature as it takes the mediating effects into consideration together with contradiction degree of the factors. The possibility of children, adult and old age with risk factors and parametric factors being infected by corona virus is determined by this diagnostic model.The escalation of COVID-19 curves is high and the researchers worldwide are working on diagnostic models, in the way this article proposes COVID-19 diagnostic model using Plithogenic cognitive maps. This paper introduces the new concept of Plithogenic sub cognitive maps including the mediating effects of the factors. The thirteen study factors are categorized as grouping factors, parametric factors, risks factors and output factor. The effect of one factor over another is measured directly based on neutrosophic triangular representation of expert’s opinion and indirectly by computing the mediating factor’s effects. This new approach is more realistic in nature as it takes the mediating effects into consideration together with contradiction degree of the factors. The possibility of children, adult and old age with risk factors and parametric factors being infected by corona virus is determined by this diagnostic model.
Mapping the European Legal Framework on Security Requirements for Cloud Computing Infrastructures in the Healthcare Sector

Cloud computing is becoming more prominent throughout the healthcare and medical sector. The underlying infrastructures must contain different security measures so that each system complies with the law. In this article, we map the relevant European legal framework and the security requirements contained therein. Keywords: Cloud computing | healthcare | security | technology
The Linear Capture Method of Tennis Forehand Stroke Error Trajectory Based on the D-P Algorithm

To improve the efficiency of tennis forehand stroke, it is necessary to capture the error trajectory of the ball with a high resolution - P algorithm is used to capture the error trajectory of tennis forehand stroke. The linear image of the error trajectory of tennis forehand stroke is collected under the three-dimensional visual model. The wavelet multi-scale decomposition method is used to filter the error trajectory of tennis forehand stroke, and the feature points of linear edge contour of tennis forehand stroke error trajectory are extracted. The gray histogram is used the feature extraction method is used to enhance the gray information of the linear image of the ball hitting error trajectory. Combined with the block feature matching technology, the key action feature points of the tennis forehand stroke error trajectory alignment are located P algorithm realizes the error adjustment and correction in the linear capture of the hitting error trajectory and realizes the correct capture of the trajectory line. The simulation results show that the accuracy of this method is high, the image output signal-to-noise ratio is high, and the action correction ability is strong
Acceleration of Seed Extension for BWA-MEM DNA Alignment Using GPUs

DNA aligning is a compute-intensive and time-consuming task required for all further DNA processing. It consists in finding for each DNA string from a sample its location in a reference genome. Usual techniques for short reads (hundreds of bases) involve seed-extension, where a small matching seed is found with quick search through FM-index and then extended on both ends with a custom Smith-Waterman algorithm, giving optimal solution. However this seed-extension takes a tremendous amount of time. This is why we present in this thesis a solution to offload extension on a GPU to be done in a parallel fashion. This is possible thanks to the fact that the DNA reads do not present any kind of relation between each other. We used the Burrows-Wheeler Aligner - Maximal Exact Match (BWA-MEM), a reference program in the field, to which we integrated a GPU-accelerated library for extension, GASAL2. However, BWA-MEM has a left-right dependency on extension starting scores, with the left alignment starting with the seed score, then the right part starting with the previously calculated left score. We designed a solution by starting both extensions with the seed score, we called this method the seed-only paradigm. On our test machine featuring 12 hyperthreaded cores and an NVIDIA Tesla K40c, when running with 12 threads, we could observe a raw kernel speed-up of 4.8x ; but if we allow non-blocking calls to let the CPU run the seeding tasks while the GPU computes the extension, we can reach a 16x effective speed-up for the extension. This extension part takes around 27% of the total time but our acceleration introduces a small overhead due to memory preparations and copying, which makes the whole application 1.28x faster, getting close to the theoretical maximum of 1.37x. Additionally, the paradigm shift we operated creates minimal differences in the final main scores on good quality alignments, with a 1.82% difference for our 5.2 million sequences data set. This makes our acceleration with GASAL2 an solid and efficient solution for a single machine.
Implementasi Metode K-Means Clustering Dalam Pengelompokan Bibit Tanaman Kopi Arabika

The diversity of coffee seed material which in the end makes it difficult for the Department of Agriculture and Plantation in classifying recommended seeds to be distributed and planted in coffee planting centers in their working areas, especially in Sarimunthe Village, Kec. Munte Karo District. Data mining is used to extract valuable information from a dataset and then present it in a format that is easy for humans to understand in order to make a decision. In this study, data processing of Arabica coffee seeds consisting of 30 items, in the Karo District Agriculture sector, in preparing the seeds to be distributed to the public, the assessment is divided into 3 phases, namely coffee seeds that do not produce (Phase 0-1 Year), immature (Phase 0-1 Year). Phase 1-2 Years) and produce (Phase 2 Years and above). The results of the calculation of the K-Means algorithm which have been grouped into clusters, it can be concluded that the recommended coffee seeds (C1) consist of 10 items, the coffee seeds that are not recommended (C2) consist of 7 types of coffee seeds and unfit coffee seeds. (C3) consists of 13 types of coffee seeds. .
The Application of Data Resources in Art Colleges and Universities Under the Big Data Environment

In today’s era, art colleges and universities inevitably have to intersect with big data, which has both opportunities and challenges. Starting from the introduction of big data, this paper studies and analyzes the current application status and problems of data resources in Colleges and universities, and makes some research and Analysis on the characteristics and shortcomings of art colleges.
Analysis on Morphological Errors Based on Student's Writing Assignment of English Subject in the Implementation of Curriculum 2013

With the development of era, education impacted by rapid growth with the evidence of an amendment to the Curriculum 2013. Furthermore, the revision impacts on the English subject. It is indicating on its core and basic competencies that the students should have understood linguistic elements of English language. However, this is quite challenging for the teachers because the scope of linguistics is wide. Besides, the learners must make errors in their learning process. Therefore, the researcher intended to analyze the morphological errors in the students’ writing assignment. Afterward, this research is using a qualitative method with a descriptive as the research design. Also, the source data is from documentation of the twelfth-grade students, this is because the students have learned the English subject in the implementation of curriculum 2013 for more than five years. Yet, due to the large population and lockdown situation of Covid-19, the researcher could only afford 1 writing assignment from 40 of 159 informants. In the result, the twelfth-grade students of senior high school in Anjir Pasar batch 2017 still made some morphological errors in learning English subject with the implementation of curriculum 2013. Those error occurred in the area of inflectional, derivational, and conversion. Also, the most dominant error is in cardinal-ordinal number with 82 of 92 or 89.13% errors. Furthermore, there are 3 causes of error, they are: negative transfer of L1 to L2, big gap of remedy in re-learn the material, and limitation in Learning English subject.
Building a front-end framework with Web Components : A study about the next generation of front-end frameworks

Context: As most modern browsers fully support the new set of APIs called Web Components, it is crucial to investigate how developers could use them to enhance the performance and developer experie ...
Three equivalent models

In this chapter, we show that we can indeed represent the same evidence in terms of a basic plausibility (or commonality) assignment on the power set, and compute the related plausibility (or commonality) set function by integrating the basic assignment over similar intervals [347].
ANALYSIS OF TEACHERS' BARRIERS IN IMPLEMENTING CURRICULUM 2013 (A Case Study in English Classes of MTs. NU Salatiga)

Gunawan. 2020. Analysis of the Teachers’ Barriers in Implementing Curriculum 2013 (A Case Study in English Classes of MTs. NU Salatiga). A Graduating Paper. Teacher Training and Education Faculty. English Education Department. State Institute of Islamic Studies (IAIN) Salatiga. Counselor: Hammam, M. Pd., Ph. D.Curriculum 2013 currently used has undergone several revisions. Curriculum changes are still considered controversial to implement for several reasons and school conditions. This research was conducted with the aim of analyzing (1) the implementation of the 2013 curriculum in English learning (2) the obstacles experienced in implementing the 2013 curriculum (3) the way teachers do in overcoming obstacles in implementing the curriculum 2013.The type of research used was descriptive qualitative research. Data collection techniques used are observation, interview and documentation.The results show that (1) Administrative implementation is better than practical implementation. (2) The obstacles experienced by teachers are the allocation of time, unavailability of school facilities, student conditions, and difficulty in changing teaching styles. 3) There are several ways that teachers do in overcoming obstacles in the implementation of the Curriculum 2013, namely by managing subject matter so that time is more efficient, creating creative learning media to overcome the limitations of electronic media, motivating students to be enthusiastic about learning, using discussion learning to create student-centered learning.Keywords : curriculum 2013; implementation; English learning; teachers’ barriers.
Library Services: Workarounds for eResource access: Workarounds for eResource access

Workarounds for access to our eResources when the Library SSO is offline A list of alternative login routes for library e-resources.
The application of forensics examination in crime-related prosecution

The increased use of the internet and information technology in Nigeria has led to the need to utilize technologies to identify and prosecute perpetrators of crimes. In today’s world, the application of forensics in the investigation and prosecution of crimes is essential. This paper critically examines the effect of the absence of a coordinated standard for the execution and presentation of forensic investigations utilizing electronic evidence in Nigeria. It examines the nature and scope of the various forensic models proposed, while questioning the appropriateness or otherwise of their usefulness in criminal prosecutions. The paper suggests the need for the regulation of forensics practices, the provision of standards, and a universal model for the successful prosecution of crimes in Nigeria.&#x0D; Index words: Nigeria; forensic examination; digital crime; standardization