Reviewerly/exHarmony huggingface dataset:
Watch first: Welcome and introduction to the University Learning & Teaching Day

Video from Prof. Mark Schofield to introduce the 2020 University Learning and Teaching Day and talk about the toolkit for moving teaching, learning and student support online.The toolkit is available in this Figshare area.
New Approach Using Hough Transform in a Visual System for Advanced Control in Flat Glass Industry

The paper presents the implementation aspects of a visual inspection system dedicated as part of the advanced control in Flat Glass Manufacturing Industry. The system has to identify and to provide a measurement of the mechanical no-uniformity of the glass ribbon before the cutting process in order to maximize the output of the manufacturing process. The necessity of developing the presented system is pointed out by being imposed for achieving an advance automation level. The image processing techniques and algorithms used have to provide results with a high reliability even in conditions of a very large variety of the types of image distortions necessary to be identified. The development of the proposed visual inspection system is coming with the approach of modified Hough transform technique for processing the images and is obtaining a high robustness of the results.
PENGEMBANGAN MODUL BIMBINGAN KE ARAH PENERIMAAN DIRI MELALUI BIMBINGAN KELOMPOK SISWA SMKN TUTUR PASURUAN

Vocational students who are in their teens often have problems related to self-acceptance. the analysis conducted need assessment to students of class XI, it is known that students need information about self-acceptance in the form of guidance modules. Test performed by 2 expert BK. Prospective user test the products carried by 2 people vocational counselor. Data obtained from test experts and potential users test the product in the form of quantitative and qualitative data. Through the data collection techniques and grading scale acceptability of input / suggestions for improvements are written in pieces of advice available. The results of this research is the development of the guidance module toward self-acceptance SMK Negeri Tutur The oracle consists of four aspects, namely: (1) aspects of usability by expert 1 average of 3.00, a 4.00 second average; (2) aspects of the attractiveness by an average of 3.00 1, expert 2 average 3.30; (3) aspects of practicality by an average of 3.16 1, expert 2 average 3.83; (4) aspects of accuracy by an average of 3.00 1, an average of 3.75 2. It can be concluded that the products have been developed very useful, very practical, very precise and very attractive, have acceptability in terms of theoretical Suggestion module development guidance toward self-acceptance is to be used as the media in providing services in the field of personal-social BK to increase self-acceptance vocational students.
PENGEMBANGAN BUKU AJAR PRAGMATIK EDUKASIONAL TERINTEGRASI KONTEKS INTRALINGUAL DAN BUDAYA PADA MAHASISWA PROGRAM MAGISTER PBSI UNIVERSITAS SANATA DHARMA YOGYAKARTA

The main objectives can be detailed as follows: 1) describe the needs needed by the students of the MPBSI, FKIP, University of Sanata Dharma in terms of learning the Pragmatic Education course. 2) describe the development of Educational Pragmatics textbooks integrated intralingual and cultural context in students of the MPBSI Program, FKIP, University of Sanata Dharma in terms of learning educational pragmatic subjects. This research uses research and development (R&amp;D) methods. The results of the development show that textbooks are suitable for use in the learning process. This can be concluded from the results of expert validation, the assessment of lecturers and the results of field trials to students of the Indonesian Language and Literature Education Study Program, University of Sanata Dharma , Yogyakarta.
Sharing knowledge - to the benefit of all

Germany’s Thunen Institute has increased its activities in Africa in recent years. Scientific training and education are a crucial part of many of these activities. Specific examples are presented in this article, as are opportunities and challenges in the sharing of knowledge.
The C-command Condition and Its Acquisition

The ultimate goal of this paper is to provide an empirical analysis of the adult subjects’ acquisition of the c-command condition. A major point to note is that the L2 learners looked for similarities between Korean binding and English binding. The results from the adult subjects suggest that the L2 learners may not entertain Chomsky’s UG theory that learners have complete access to Universal Grammar. A further point to note is that the L2 learners have difficulty acquiring the c-command condition due to markedness. The results from the adult subject’ responses show that the markedness of L2 impedes L2 learning. With respect to the order of binding, the L2 learners acquired condition B before condition A. Finally, the key findings of our research are that the c-command condition which appears in the embedded sentence was first acquired by the L2 learners, followed by the c-command condition which occurs in the genitive NP, the c-command condition which appears in the conjunct sentence, the c-command condition which occurs in two separate sentences, the c-command condition which appears in the sentence involving wh-movement, and the c-command condition which occurs in topicalization, in that order.
Cryptocurrency: The Era of Digital Money

The global economy is inexorable moving towards a digital ecosystem. From investment to money transfer, everything is going cashless. Cryptocurrency is the newest and most favourable addition to the digital payment sector. Cryptocurrency is a benchmark in financial technology, and so knowing all about it is very important to stay contemporary.
Collaborative and individual professional development for english Teachers

University, academic lyceums, professional colleges and secondary schools -collaborative professional development (PD) has great potential impacts on English language teachers professionalism. The collegiality of PD built at among university, academic lyceums, professional colleges and secondary schools can provide positive atmospheres for all teachers who will have greater opportunities to discuss and to share with about the latest issues about and English teaching. In this article, we will discuss the advantages of university, academic lyceums, professional colleges and secondary schools collaborative professional development for English teachers and highlight the individual professional development in the period of global quarantine
Zsmell – Code Smell Detection for Open Source Software

Today, open-source software (OSS) is used in various applications. It has played a vital role in information systems of many user groups such as commercials, research, education, public health, and tourism. It is also a source of additional knowledge for collaborators because this type of software is easily accessible through websites that provide management of version control services such as GitHub. However, a recent study shows an increasing trend in the existence of code smells. In OSS, there is a growing number of code smells that cause software errors. Having a code smell in software is a serious issue since it impacts the software in terms of deployment, maintenance as well as user confidence toward the software. Finding code smells in the early stages of software development would provide for better software maintenance and reliability; thus, researchers invented the Zsmell software system that helps search for code smells in the source code saved in GitHub. Developed systems display data related to code smells in each source code version that was modified by collaborators. Thus, the developers will be able to employ the proper refactoring method, which is a change in the internal structure of software without changing the original functionality of the software. We believe that this system will enable open source collaborators to improve the quality of their OSS, especially on code smell reduction and the understanding of various types of code smell commonly found in OSS projects.
BTS-BI APPLICATION (INDONESIAN STUDENT TEXT BOOK) BASED ON ANDROID

This research aims to develop, design, and create innovations in education that can be used in learning, namely Android-based BTS-BI applications that can be used to facilitate teachers and students in implementing the learning process. If teachers and students cannot attend class learning, this application can be utilized. The research method used is a qualitative descriptive approach that was developed using a research and development model. The results of this study are Android-based "BTS-BI" (Indonesian-Student Textbook) application designs. This application contains Indonesian material that has been adapted to the applicable curriculum.
Vehicle Detection and Tracking from a Video Captured by Moving Host

An efficient vision-based vehicle detection and tracking system is presented in this paper.One of the most vital stages of the driver assistance system is the detection and tracking.This will help the drivers to fully understand the road conditions.Vehicle detection from a moving camera is difficult compared to a stationary camera.In this method, we used the practical implementation of a vehicle detection based on Viola-Jones algorithm.To track the detected vehicle, we are using a nonlinear filter such as Unscented Kalman Filter.The simulation and experimental results indicate that real-time nonlinear tracking problem can be resolved by using this nonlinear Unscented Kalman Filter.
Сhance Events as the Best Content for the Academician E. N. Pavlovsky Photography’s (Archive Documents of the Tajikistan National Academy of Sciences)

Academician E. N. Pavlovsky (1884—1965) was famous Russian Soviet scholar, who made a great contribution to the world epidemiology and immunology. He undertook extensive fieldwork studies in different parts of the USSR and Iran, in particular in Tajikistan. He was a director of the Tajik Filial of the USSR Academy of sciences (1941—1951). While E. N. Pavlovsky was a prolific researcher, he was not a professional photographer but his pictures are an important evidences of Samarqand life, Zarafshan local community (1908) and social changes in Tajikistan in 1936—1937. His approach to photography subject was influenced by chance events. Therefore, there are many Samarqand street photos in the collection of the A. Donish Institute of History, Archaeology & Ethnography, Tajikistan National Academy of sciences. Besides of these images, there are a lot of portraits, landscapes, details of architectural design and everyday life episodes made by him in Tajikistan (in total 29 examples). His photo collection remains as a transdisciplinary dialogue between science and visual culture.
Directed reading thinking activity strategy: A study to enhance students’ reading comprehension

The objective of this study was to test the strategy of the Directed Reading Thinking Activity (DRTA) in improving students' reading comprehension in the second grade of junior high school. This study used a quantitative method in the form of quasi-experimental, with a nonequivalent control group design. With the number of population was 266, the researcher took 30 samples for control and 30 samples for experiment class. The result of this study found that the value of t-test 8.233 is higher than t-table 1.699. So, the alternative hypothesis (H 1 ) is accepted, and the null hypothesis (H 0 ) is rejected. The calculation showed that usage Directed Reading Thinking Activity successful in improving students' reading comprehension.
Analisis Variasi Slice Thickness Terhadap Informasi Anatomi Potongan Axial Pada Pemeriksaan MSCT Cervical Pada Kasus Trauma

Background: One step to create a good image is by doing slice thickness reconstruction. Slice thickness is thick slices or pieces of the object checked out. The examination procedure of MSCT in case of Cervical trauma in Radiology Installation RSUD Tugurejo Semarang using slice thickness 3 mm. This contrasts with Seeram (2016), which explained that the examination of adult MSCT Cervical Spine using slice thickness between 1-2 mm. This research aims to know the difference of anatomic information resulted by 5 slice thickness variation in MSCT Cervical Spine and to find out which slice thickness can provide optimum anatomic information.Methods: The type of this research is quantitative with an experimental approach. Data is performed by reconstructing the 5 images of MSCT cervical of trauma patients using 5 slice thickness variation which is 1 mm, 1.5 mm, 2 mm, 2.5 mm and 3 mm. The final images are evaluated by two Respondents to see the differences in anatomic information and then analyzed by using a different test (Friedman Test) from the SPSS version 24.0.Results: The results showed there is a significant difference in anatomic information on the corpus, lamina, spinous process, transverse process and fragment fracture between variations in slice thickness of 1 mm, 1.5 mm, 2 mm, 2.5 mm, and 3 mm on the MSCT Cervical examination with a significance value of 0,000 or p 0.05.Conclusion: The most optimal slice thickness to provide anatomic information on the cervical MSCT examination is 1 mm slice thickness with a mean rank value of 3.64.
Regularly varying time series

This chapter introduces the central object of this book: we consider regularly varying time series, that is, sequences of d-dimensional random vectors indexed by $$\mathbb {Z}$$ , whose finite-dimensional distributions are all regularly varying.
An Improved Attribute Value-Weighted Double-Layer Hidden Naive Bayes Classification Algorithm

The Hidden Naive Bayes (HNB) classification algorithm is a kind of structurally extended Naive Bayesian classification algorithm, which introduces a hidden parent node for each attribute so that the dependencies between attributes are utilized. However, in the classification process, the effect of the attribute pair on the attribute is ignored. Therefore, the double-layer Hidden Naive Bayes (DHNB) classification algorithm fully considers the dependence between attribute pairs and the attributes. However, he did not consider the contribution of different values of each feature attribute to the classification. To solve this problem, an improved DHNB algorithm was obtained by constructing a corresponding weighting function to calculate the contribution degree of each feature attribute value to the classification and using the obtained weighting function to weight the formula in the DHNB algorithm. Finally, the improved algorithm was simulated experiment on the University of California Irvine (UCI). The results show that the improved algorithm has higher classification efficiency than the original DHNB algorithm, and the method has good applicability.
User-Centric Cyber Disaster Recovery as a Service

In a world of interdependent economies and online transactions, a large volume of data hosted on the cyberspace a daily bases. Cyber threats and attacks are steadily increasing. Most time, these threats and attacks are targeted at service providers but service users are greatly affected by the attacks due to their vulnerability level. When disasters knockdown the infrastructures of a single service provider, it will have ripple effects on thousands of innocent service users. Therefore, service users need more than ever to prepare for major crises targeted at their service providers. To cope with this trends, every service user requires an independent business continuity plan (BCP) or disaster recovery plan (DRP) and data backup policy which falls within their cost constraints while achieving the target recovery requirements in terms of recovery time objective (RTO) and recovery point objective (RPO). The aim of this paper is to develop a model for a user-centric disaster recovery system to enable service users to independently develop their data backup policies that best suits their remote databases, and host same as a cloud service deployable on public cloud for users to subscribe to and be billed on pay-as-you-go billing model. The system developed is highly compatible with MYSQL, MSSQL and Oracle databases. A combination of Dynamic System Development Methodology (DSDM) and Object- Oriented Analysis and Design Methodology (OOADM) were used to design the system while Java Enterprise Edition (JEE) is used to develop the system. The encryption and compression mechanisms of the system were tested with various sizes of backup files ranging from 64 Kb to 20Mb and several performance metrics such as (1) Encryption time; (2) Compression size; (3) CPU clock cycles and battery power are compared and analysed with some well-known encryption and compression algorithms.
Comparative analysis of a selected version of the Symfony framework

This article is about research during which selected versions of the Symfony programming framework were compared in terms of their performance. The following versions of the framework were analysed: 3.0, 3.1, 3.2, 3.3, 3.4 LTS, 4.0, 4.1, 4.2, 4.3 and 4.4 LTS. For the purpose of the research, a simple test application in PHP was developed in ten variants corresponding to selected versions of the framework and consisting of 17 fragments of code – methods in the class, each of which operates on one basic component of Symfony. The application prepared in this manner was subject to performance tests in a two-stage experiment. After the experiment, the quantitative analyses were conducted in which the following aspects were taken into consideration: the average values of execution times and the average amounts of memory usage for specific code fragments for individual versions of the Symfony framework components and the average time of execution and demand for memory for the entire tested application. The obtained results for each code fragment representing a given component were visualized in the forms of graphs. The performed analyses showed that the best version of the Symfony programming framework in terms of performance is version 4.1.
Types of logical thinking and methods of its development

In this article consider conception of thinking, types of thinking operations, opportunities for development of intellection through using tasks in empirical, abstractive, and theoretical conceptions. Author proposed tasks which conduce for development of brainwork.
Pengaruh Overclocking Processor AMD Ryzen 5 Pada Rendering Video Menggunakan Adobe After Effect

- Video projects in Adobe After Effect usually use a very large number of effects, so this can increase the duration of video rendering. One of the main components of a computer that is responsible for the performance of a computer when rendering is the processor. Efforts to improve processor performance can be done using the overclocking method. Overclocking can be done over UEFI or using the on-the-fly method on Windows 10 using AMD Ryzen Master application. Overclocking on the processor allows the processor to run faster than the default conditions. In this study, the author uses an AMD Ryzen 5 2400G processor. After overclocking the processor, stability testing will be performed using the Cinebench R20 five times in a row. After the video rendering is tested using Adobe After Effect and the results obtained in the form of the length of time required for rendering a video. The time needed for rendering the video is used as a reference for the author to find out how much increased performance after overclocking.
The Right To Privacy (Article 8) and the Digital Revolution: Written evidence from Horizon Digital Economy Research Institute, University of Nottingham (RTP0004)

Horizon1 is a Research Institute at The University of Nottingham and a Research Hub within the RCUK Digital Economy programme2. Horizon brings together researchers from a broad range of disciplines to investigate the opportunities and challenges arising from the increased use of digital technology in our everyday lives. Prof. McAuley is Director of Horizon and was principal investigator on the ESRC funded CaSMa3 project (Citizen-centric approaches to Social Media analysis) to promote ways for individuals to control their data and online privacy, the EPSRC funded UnBias4 (Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy) project for raising user awareness and agency when using algorithmic services and the EPSRC funded Defence Against Dark Artefacts project on the legal and technical security of Internet of Things. Dr Koene was a lead researcher of the CaSMa and UnBias projects, is Research co-Investigator on the EPSRC funded ReEnTrust5 (Rebuilding and Enhancing Trust in Algorithms) project and chairs the working group for developing the IEEE P7003 Standard for Algorithm Bias Considerations. Dr Jiahong Chen is a Researcher Fellow of Horizon, working on the Defence Against Dark Artefacts project.
Innovation in Teacher Education

[...] We wanted to gather colleagues who have tested new methods and strategies that allow prospective teachers to face the current global challenges. However, our attention is not only focused simply on “how” technologies allow us to identify new perspectives but also on “why” we must multiply our efforts to give the teachers of future generations more intellectual and technical solutions in order to develop new meaningful learning environments. Innovation in teacher education means creating educational paths, where trainee teachers feel they are becoming part of a historical process in which past and present are continuously interwoven (Gadamer, 1979).  In several teacher education institutions around the globe, digital innovations are supporting the education of future teachers. [...]
The evolution of structural interpretation from 2D to AI; the reinterpretation of the Cheviot Field

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.
REAL TIME POLYNOMIAL SERVICE CENTRIC MULTI MODEL DATA ENCRYPTION SCHEME FOR IMPROVED DATA SECURITY

The problem of data security in cloud environment has been well analyzed. The presences of malicious users and adversaries temper the security walls and introduce different threats to the cloud environment. However, there exist numbers of techniques in mitigating such threats but could not perform that successful ratio. To improve the performance, an polynomial service centric multi model data encryption (PSCMM) technique is presented in this article. Instead of using same set of techniques and keys in data encryption, the novel technique use different standards and key sets for various type of services. The selection of scheme and key has been performed according to the polynomial operation. For any service request, a polynomial operation has been performed to decide the key and scheme has to be used. According to the result of polynomial function, the method performs data encryption, where the same is used to perform key selection and method towards encrypting each attributes. This dual model encryption supports the performance development of data security in cloud. The proposed PSCMM algorithm has produced higher security performance with least tampering ratio.
Research Guides: Getting a List of Currently Borrowed Materials: Home

This is a one minute video that explains how to see what you currently have checked out from Fintel Library.