Reviewerly/exHarmony huggingface dataset:
PENINGKATAN PEMBELAJARAN MENULIS TEKS EKSPOSISI DENGAN MENGGUNAKAN METODE MIND MAPPING PADA SISWA SMA

This research is motivated by the difficulties faced by students when writing exposition texts, one of which is the lack of students' knowledge and interest in writing exposition text because students still feel lazy to express ideas in writing, especially determining their linguistic elements. The statement is based on the results of interviews with Indonesian language subject teachers. So that researchers try to improve the creativity of students in writing exposition texts, one of them is by using the mind mapping method in learning to write exposition text. The researcher used an experimental method with design (one group pre-post test) by collecting data in the form of final test results (pre-test) and final test (post-test) with a sample of 25 high school students. Based on the research data, the comparison of the results of exposition text writing learning with mind mapping method influences the learning process can be proven from the results of the comparison obtained by students having quite significant comparisons, before using mind mapping methods obtain an average value of 74.96 and after using the method have average value of 83.16. So learning using the mind mapping method can be applied in learning exposition text writing because there is an increase in the results of the average student score.
THE TOPICALITY OF EDUCATORS’ DIGITAL COMPETENCE DEVELOPMENT

Information and communication technologies (ICT) rapidly continue advancement in educational contexts. The influence of ICT, variety of digital learning materials and opportunities has enlarged especially in the last decade followed by the topicality of educators’ digital competence improvement. One of the key competences of educators to harness the potential of digital learning sphere is continuous development of digital competence. Authors of this research explore scientific literature on the formation, further development and assessment of teachers’ digital competence. Based on research findings the authors indicate facts that due to the lack of digital competence the potential of digital learning is not fully used, educators need to update competence on development of interactive training materials, assessment of digital competence should be more reliable and rigorous. On the basis of the research the authors put forward suggestions on the ways to develop educators’ digital competence.
iPage Vs Bluehost: The Ultimate 2019 Comparison

Have you been looking for a web hosting service provider to help boost your website performance? Two outstanding hosting providers in the market are iPage and Bluehost. Bluehost and iPage hosting providers are similar in many ways, like having the same type of hosting and multiple sharing features. However, their performance differs with Bluehost providing faster page-loading speeds while iPage supports a wider range of third-party applications.
Web Application of Collaborative Group Labels Work

Group label work (ex. KJ method) is often used as an idea generation method. Group label work has been performed using papers such as sticky notes and a large paper sheet. However, using sticky notes has a drawback in terms of editing, managing and storage of working outcomes, and it is   also difficult to digitize. Similar softwares and tools that help group label work have been proposed, but most of the tools depend on the specific platforms/operating systems. Therefore, we have developed a collaborative group label work system based on standard web technologies. By adopting the standard web technologies, the system works on multiple heterogeneous devices including PCs, tables, and smart phones as a web application. In this paper, we describe the design and implementation of the method. We also compared the proposed method and the system with conventional paper-based group label work in terms of creativity and efficiency.
Homogeneous Dirichlet wavelets on the interval diagonalizing the derivative operator, and related applications

This paper presents a new construction of homogeneous Dirichlet wavelet basis on the unit interval, linked by a diagonal differentiation-integration relation to a standard biorthogonal wavelet basis. This new wavelet basis allows to compute the solution of the Poisson equation only by a wavelet coefficient renormalization - like in Fourier domain -, which yields a linear complexity O(N) for this problem. Another application concerns the construction of free-slip divergence-free wavelet bases of the hypercube, in general dimension, with an associated decomposition algorithm as simple as in the periodic case.
See a little Warclight: building an open-source web archive portal with project blacklight

This work is primarily supported by the Andrew W. Mellon Foundation. Other financial and in-kind support comes from the Social Sciences and Humanities Research Council, Compute Canada, the Ontario Ministry of Research, Innovation, and Science, York University Libraries, Start Smart Labs, and the Faculty of Arts and David R. Cheriton School of Computer Science at the University of Waterloo.
Towards Lossless Encoding of Sentences

A lot of work has been done in the field of image compression via machine learning, but not much attention has been given to the compression of natural language. Compressing text into lossless representations while making features easily retrievable is not a trivial task, yet has huge benefits. Most methods designed to produce feature rich sentence embeddings focus solely on performing well on downstream tasks and are unable to properly reconstruct the original sequence from the learned embedding. In this work, we propose a near lossless method for encoding long sequences of texts as well as all of their sub-sequences into feature rich representations. We test our method on sentiment analysis and show good performance across all sub-sentence and sentence embeddings.
Digital libraries: Challenges for 21st century

We discuss in the present paper about the digital libraries and its future. The emerging field of digital libraries brings together participants from many existing areas of research. Currently the field lacks a clear agenda independent of these other area. It is tempting for researchers to think that the field of digital libraries is a natural outgrowth of an already known field. From a database or information retrieval perspective, digital libraries may be seen as a form of federated databases. From a hypertext perspective the field of digital libraries could seem like a particular application of hypertext technology. From a wide-area information service perspective, digital libraries could appear to be one use of the World Wide Web. From a library science perspective, digital libraries might be seen as continuing a trend toward library automation.Keywords: Digital Library, Electronic Library, Modern Library, Virtual Library
Pengaruh Multimedia Interaktif Terhadap Hasil Belajar Siswa Kelas XII Program Keahlian Akuntansi Pada Materi Entri Jurnal Khusus Di SMK Labor Binaan Fkip Unri Pekanbaru

This study aims to determine the effect of the use of interactive multimedia on the learning outcomes of students of class XII Accounting Skills Program on the material of special journal entries in the Labor Vocational High School of the FKIP guided by UNRI Pekanbaru. This research was conducted on 17-20 July 2018. The research method used was quasi experimental design with the type of Nonequivalent Control Group Design. Sampling uses class sample techniques. The research sample amounted to 67 students, consisting of 35 control class students and 32 experimental class students. The research instruments used were tests, observation sheets and questionnaire. The test instrument consisted of objective questions and transaction document questions, the observation sheet consisted of a multimedia physical observation sheet, teacher activity observation sheet and student activity observation sheet, and interactive multimedia benefit questionnaire instrument. Data analysis using gain values obtained results of 0.53 which fall into the medium category. Then analysis of the data of the two groups using the independent two sample t-test was obtained 0.046 at the significance level p < 0.05. It can be concluded that the use of interactive multimedia has an effect on student learning outcomes, and differences in learning outcomes in both groups show that the learning outcomes of students taught using interactive multimedia are better than students taught by using power point slides.Key Words: Interactive Multimedia, Learning Outcomes
Cryptanalysis of a System Based on Twisted Reed - Solomon Codes.

Twisted Reed–Solomon (TRS) codes are a family of codes that contains a large number of maximum distance separable codes that are non-equivalent to Reed–Solomon codes. TRS codes were recently proposed as an alternative to Goppa codes for the McEliece code-based cryptosystem, resulting in a potential reduction of key sizes. The use of TRS codes in the McEliece cryptosystem has been motivated by the fact that a large subfamily of TRS codes is resilient to a direct use of known algebraic key-recovery methods. In this paper, an efficient key-recovery attack on the TRS variant that was used in the McEliece cryptosystem is presented. The algorithm exploits a new approach based on recovering the structure of a well-chosen subfield subcode of the public code. It is proved that the attack always succeeds and breaks the system for all practical parameters in $$O(n^4)$$ field operations. A software implementation of the algorithm retrieves a valid private key from the public key within a few minutes, for parameters claiming a security level of 128 bits. The success of the attack also indicates that, contrary to common beliefs, subfield subcodes of the public code need to be precisely analyzed when proposing a McEliece-type code-based cryptosystem. Finally, the paper discusses an attempt to repair the scheme and a modification of the attack aiming at Gabidulin–Paramonov–Tretjakov cryptosystems based on twisted Gabidulin codes.
≪四聲通解≫所據≪中原音韻≫考

Mitsuaki Endo(2001) investigated the compiling process of the Sa-Seng-Tong-Hai and the cited literature in the article “the data and compiling process of the Sa-Seng-Tong-Hai”. The article Sa-Seng-Tong-Hai is based on the data and the compilation process of Sa-Seng-Tong-Hai. However, there is also part of the content Mitsuaki Endo(2001) did not do a positive and detailed analysis. For example, the ShiJing in the Sa-Seng-Tong-Hai is actually Zhu Xi''s collected Poetry, and the ShuJing is actually Cai Shen''s collected Book of songs. In this paper, the contents of ZhongYhouYinyun in 72 articles recorded in Sa-Seng-Tong-Hai are compared with those of ZhongYuanYinYun and ZhongZhouYinyun. the conclusions are as follows: Part of the content of the rhym referred to by Choi Se Jin is the same as that of the ZhongYuanYinYun, part of the content is the same as the ZhongYuanYinYun, part of the content is the same as that of the rhyme of ZhongzhouYinYun, and part of the content is not found in rhyme of the ZhongYuanYinYun and the ZhongYuanYinYun, and there may be some interpretation.
Backlash against Bangladeshi bloggers – South Asia Citizens Web

The bloggers of Shahbagh are facing a backlash – hunted by fundamentalists, denounced in mosques as atheists, arrested by the government. Those abroad are under threat. Meanwhile activists are…
The Conceptual Design of Gamification to Overcome The Problems of Employee Turnover and Employee Engagement in Adelia Cafe ‘N Resto

Every industry has employee turnover problems and difficulties in dealing with it. Employee turnover is one of the most expensive labor challenges and can affect other staff members. In addition, employee turnover can affect the service and quality that is given to customers resulting in the loss of long-term customer relations, and can also cause a decrease in motivation and morale. The high employee turnover shows the low employee engagement, while employee engangement can bring the company to profitability and growth. This study uses qualitative method and focuses to handle the employee turnover problem in the largest restaurant in Bojonegoro, namely Adelia Cafe ‘N Resto by using gamification. Gamification moves as a machine to improve the employee engagement and true loyalty, so that it can reduce the rate of employee turnover. The first step in implementing the gamification design in this study resulted in a positive effect for the restaurant following an increase in employee work motivation, service quality to customers, and also sales of restaurant menus. So, it is expected that the implementation of the overall conceptual design of gamification in this study in the future can be a solution to the problem of employee turnover and employee engagement in Adelia Cafe ‘N Resto.
Research Guides: Physics Seminar - Spring 2019 (21:750:492): Evaluating Citations/References

This guide was created specifically for Dr. Chinmoy Bhattacharjee and Dr. Michele Pavanello's class - Spring 2019 Types of Sources & Evaluating Sources
Practical text analytics: maximizing the value of text data

"Practical text analytics: maximizing the value of text data." Journal of Statistical Computation and Simulation, 90(7), p. 1346
Speeding up Natural Language Parsing by Reusing Partial Results

This paper proposes a novel technique that applies case-based reasoning in order to generate templates for reusable parse tree fragments, based on PoS tags of bigrams and trigrams that demonstrate low variability in their syntactic analyses from prior data. The aim of this approach is to improve the speed of dependency parsers by avoiding redundant calculations. This can be resolved by applying the predefined templates that capture results of previous syntactic analyses and directly assigning the stored structure to a new n-gram that matches one of the templates, instead of parsing a similar text fragment again. The study shows that using a heuristic approach to select and reuse the partial results increases parsing speed by reducing the input length to be processed by a parser. The increase in parsing speed comes at some expense of accuracy. Experiments on English show promising results: the input dimension can be reduced by more than 20% at the cost of less than 3 points of Unlabeled Attachment Score.
Pfeiffer Library: Locating eBooks: Help!

Tutorial for locating electronic books in the library's collection and online Provides links to additional resources that were not otherwise mentioned.
Storage solution for a reusable auto injector

This master thesis describes the product development process of a storage solution for a reusable auto injector concept consisting of a reusable unit and a disposable unit that contains the drug. The purpose was to understand the users and the environment that the injector is used in to investigate in the possibilities of creating added value in a storage solution concept. The project was carried out on the behalf of SHL Group, a world leading company within drug delivery devices. To understand the users and their needs, the first part of the project was a literature study followed by interviews with users, pharmacists and health care professionals. The outcome revealed differences among the user needs and showed that the cooling requirements of the drugs were considered one of the greatest issues. Three personas were created based on the interviews to represent typical users in the target group. The personas were used during concept generation, evaluation and selection.The final concept is an electronic cooler consisting of two parts that can be detached. The bottom part works as a refrigerator with space for four disposable units and is equipped with a thermometer that is connected to a temperature display. The top part, the case, has space for the reusable unit and one disposable unit. The solution is flexible and portable and both parts can be used separately and together.
Attacks Only Get Better: How to Break FF3 on Large Domains.

We improve the attack of Durak and Vaudenay (CRYPTO’17) on NIST Format-Preserving Encryption standard FF3, reducing the running time from \(O(N^5)\) to \(O(N^{17/6})\) for domain \(\mathbb {Z}_N \times \mathbb {Z}_N\). Concretely, DV’s attack needs about \(2^{50}\) operations to recover encrypted 6-digit PINs, whereas ours only spends about \(2^{30}\) operations. In realizing this goal, we provide a pedagogical example of how to use distinguishing attacks to speed up slide attacks. In addition, we improve the running time of DV’s known-plaintext attack on 4-round Feistel of domain \(\mathbb {Z}_N \times \mathbb {Z}_N\) from \(O(N^3)\) time to just \(O(N^{5/3})\) time. We also generalize our attacks to a general domain \(\mathbb {Z}_M \times \mathbb {Z}_N\), allowing one to recover encrypted SSNs using about \(2^{50}\) operations. Finally, we provide some proof-of-concept implementations to empirically validate our results.
Science and Ethics of Algorithms in the Courtroom

This Article analyzes the societal and cultural impacts of greater reliance on the use of algorithms in the courtroom. Big-data analytics and algorithms are beginning to play a large role in influencing judges’ sentencing and criminal enforcement decisions. This Article addresses this shift toward greater acceptance of algorithms as models for risk-assessment and criminal forecasting within the context of moral and social movements that have shaped the American justice system’s current approach to punishment and rehabilitation. By reviewing salient problems of scientific uncertainty that accompany the use of these models and algorithms, the Article calls into question the proposition that greater reliance on algorithms in the courtroom can lead to a more objective and fair criminal sentencing regime. Far from liberating the society from the biases and prejudices that might pollute judges’ decision-making process, these tools can intensify, while simultaneously concealing, entrenched cultural biases that preexist in the society. Using common themes from the field of Science and Technology Studies (STS), including boundary-work analysis and Public Understanding of Science (PUS), this Article highlights unique technical characteristics of big-data analytics and algorithms that feed into undesirable and deeply-held values and beliefs. This Article draws attention to specific gaps in technical understanding of algorithmic thinking, such as the black box of algorithms, that can have discordant impact on communicating uncertainty to the populace and reduce accountability and transparency in regulating the use of algorithms. This Article also provides specific policy proposals that can ameliorate the adverse social and cultural effects of incorporating algorithms into the courtroom. The discussion of policy proposals borrows from the STS literature on public participation in science and encourages adoption of a policy that incorporates diverse voices from political actors, most affected communities, and the offenders themselves.
LibGuides: Orientation to Digital Library: NC AHEC

This guide was created to help students learn how to use the digital library without having to dig through the various tabs...
Security evaluation of a key management scheme based on bilinear maps on elliptic curves

In recent years, many applications of elliptic curves to cryptography havebeen developed. Cryptosystems based on groups of rational points on elliptic curves allow more efficient alternatives to finite field cryptography, which usually requires groups with larger cardinality and lower efficiency. The existence of non-degenerate, bilinear maps on elliptic curves, called pairings, allow the construction of many efficient cryptosystems; however, their security must be carefully studied. We will study the security of a key menagement scheme introduced by Boneh, Gentry and Waters in 2005, which is based on the decisional version of the l-BDHE problem. This is a variant of the classical Diffie-Hellman problem, specifically constructed for pairing-based cryptography. Its hardness, is still a research topic and only some theoretical evidence exists. The aim of this work is to investigate the security of this broadcast encryption system, taking in account a model that proves the hardness of the l-BDHE problem, under strong assumptions. Drawbacks of this approach will be discussed: its main weakness is the system's behaviour during attack simulations, which is far from real. The main result of this thesis is a lower bound on the running time of an adversary solving the above problem.Moreover, also the elliptic curve choice, when implementing an encryptionscheme, could affect its security. We will review the main criteria for this choice and we will investigate the existence of elliptic curves suitable for the system of our interest.
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection

The common practice in coreference resolution is to identify and evaluate the maximum span of mentions. The use of maximum spans tangles coreference evaluation with the challenges of mention boundary detection like prepositional phrase attachment. To address this problem, minimum spans are manually annotated in smaller corpora. However, this additional annotation is costly and therefore, this solution does not scale to large corpora. In this paper, we propose the MINA algorithm for automatically extracting minimum spans to benefit from minimum span evaluation in all corpora. We show that the extracted minimum spans by MINA are consistent with those that are manually annotated by experts. Our experiments show that using minimum spans is in particular important in cross-dataset coreference evaluation, in which detected mention boundaries are noisier due to domain shift. We will integrate MINA into this https URL for reporting standard coreference scores based on both maximum and automatically detected minimum spans.
No Mud, No Lotus: The Murky Nature of Information Surrounding Budding Yoga Practices

The nature of information surrounding beginner yoga practices is murky at best. Novice practitioners are faced with a number of questions regarding yoga’s mental, physical, and spiritual components and are inundated with an overwhelming number of possible resources within which they can find this information. This study investigates what these resources are, and how new yoga practitioners make sense of the information that drives their practices forward. By adapting the Information Horizon Interview technique developed by Sonnenwald, Wildemuth, and Harmon (2001), I interviewed three self-identified beginners to learn more about their yoga practices and the informational resources they consult in developing these practices. I then asked all three participants to draw these resources into an Information Horizon diagram, which elicited further information for examination. The findings of these interviews and diagrams demonstrate sources of information that are unconventional in Library and Information Science (LIS) studies. All three participants highlighted the significance of embodied information in the development of their practices. They also emphasized the importance of personal relationships and the influence of emotional/affective experiences in their information searches and uses of information. As a whole, this study consequently indicates a greater need for academic investigation into such “unconventional” sources of information; regardless of context, recent pushes for user-centered information services across the discipline of LIS would benefit from a greater understanding of the role of the body, as well as affective experiences of the user. Keywords:embodied information, affective experience, Information