Reviewerly/exHarmony huggingface dataset:
The Effectiveness of Read, Cover, Remember, Retell (R.C.R.R) Strategy Towards 11thudents' Reading Comprehension At SMK N 3 Tanjungpinang

This research was conducted to find out whether using the Read, Cover, Remember, Retell strategies could have a significant effect on the reading comprehension of 11th grade students at SMK 3 Tanjungpinang. This research was conducted because the writer found several problems faced by students in SMK 3 Tanjungpinang. This research is in the form of a quasi-experimental model with a nonequivalent control group design with sample of 11th grade students in SMK N 3 tanjungpinang with a population of all 11th grade students at SMK N 3 Tanjungpinang. The class is divided into 2 classes, the experimental class and the control class, the experimental class is treated using the Read, Cover, Remember, Retell strategy and the control class is given treatment using the Grammar Translation Method test instrument in the form of an oral test with 10 questions related to analytical exposition text where each question has a score of 1 to 4. Each number represents a score of 1 = 25. 2 = 50, 3 = 75, 4 = 100. This test is carried out in two sessions, pretest and posttest. The results obtained can be processed and found normality tests, homogeneity tests, and T-tests measured using the SPSS version 22 application. From the results of this study, it was found that teaching students using the Read, Cover, Remember, Retell strategy was more effective and better instead of using the Grammar Translation Method. Student grades and students' reading comprehension ability improved after being given the RCRR strategy treatment.
Sir Mark Oliphant, Professor Erich Weigold and Professor John Carver at Founders Day 1993

Research School of Physical Sciences - Founders Day, Advance - Sir Mark Oliphant, Prof. Erich Weigold, Prof. John Carver, Dr. Boyd Blackwell, Dr. Halcro Hay, Prof. Alan Snyder, Mr. Vince Craig, Dr. Andrew Davies, Dr. David Hinde, Prof. Jim Williams, Dr. C. Jagadish, Prof. Esaki, Mrs. Esaki, Dr. Mark Ridgway, Mr. Andrew Clarke, Mr. Watanabe, Dr. Renate Egan, Dr. Ross Taylor, Richard Martin, Paul Butcher, Bob Jones, Mukunda Das, John Dobson, Tony Haymet, David Neilson, Marek Michaelewicz, Paolo Giannozzi, Priya Vashishta, Sankar Das Sarma, Ian Snook, Frank Reinecker, Stephen Battisson, Murray Hollis & others
Developing Instructional Multimedia based on Android Application on Nationality Learning Materials toward Students of Senior High School

This study aims to develop android-based learning multimedia on nationality material and determines the perception of class X high school students and teachers toward the results of the development of developed learning multimedia. This research usedResearch and Development(R&D) method and descriptive qualitative method for perception. The results of this study showed that students' perceptions toward the development of application-based learning multimedia on nationality material obtained an average score of 3.82 with a decent category. The results of the assessment of nationality teacher score 4.23 in the very feasible category. In conclusion, the use of android-based multimedia is feasible to be used in nationality material of learning activities.
A hybrid of SALSA20 and Twofish Algorithms for Data Encryption and Authentication

Confidentiality and authenticity of data are two primary and critical information security services, and they are generally interrelated and share similar objectives for the protection of privacy, and reliability of accessing information. Different ciphering methods have been introduced as a solution to provide confidentiality and to play a greater role in information security systems. SALSA20 is one of the popular Stream cipher lightweight algorithms that provides high security and is effective in many modern .In contrast, most lightweight cryptography algorithms suffer from the tradeoff between security and complexity applications. This paper will propose a new version of SALSA20 lightweight algorithm based on hybridized the mechanisms of original SALSA20 stream cipher and Twofish block cipher to proposed version called Hybrid Lightweight Salsa20 and Towfish Algorithm, which refers, shortly by (HLSTA). The Proposed HLSTA aim to take advantage of the properties block cipher for algorithm Twofish and preserving the original SALSA20 structure to increase the security of the algorithm while at the same time maintaining the speed of the algorithm within the acceptable range to achieve standards for light encryption algorithms, which are high security and can be used in devices with specific sources (time and energy). In addition, this paper introduced Lightweight Authentication Algorithms by add Hashing layer to HLSTA. The aim of the Authentication Hybrid Lightweight SALSA20 and Twofish Algorithm (AHLSTA) is providing more efficient and secure data authentication. Experiments and results of the proposed algorithm based on histogram analysis, execution time, and security measures,  are shown that the proposed HLSTA and proposed AHLSTA are more secure compared to the original algorithm.
[대학의 평생교육체제지원 사업](LiFE)과 대학의 평생교육적 체제 전환

This study was conducted with the aim of finding the limitations of LiFE, which is being promoted by the Ministry of Education and developing measures to improve it. Although LiFE is an important project with the potential for lifelong educational transformation of universities, the researcher determines that LiFE has not yet fully implemented that significance. The researcher conducted work to embody the meaning of the lifelong educational transformation of universities, and to come up with measures to improve it. As a result of the study, the researcher confirmed that the current LiFE has project contents consistent with the lifelong educational transformation of universities, in allowing open admissions for adult learners, establishing a flexible academic operating system, and building a customized support system for adult learners. However, on the contrary, the researcher also could confirm that the LiFE has contents inconsistent with the lifelong educational transformation of universities, especially in mandatory operation of degree courses through the organization dedicated to adult learners and student management system on a quota basis. The researcher pointed out that the project should be redesigned focusing on various non-degree programs that presuppose the inclusive education of school-age students and adults.
Blockchain Applications Issues and Challenges

Today, blockchain technology is used in various fields and received a lot of attention from industry and academia due to its unique properties. Cryptocurrency is popular and takes place in industry, academic, and banking worldwide for various transactions. Blockchain is a term which is constantly changed the world and our lives. It is a chain of blocks that store information with digital signatures. It is a decentralized, incorruptible, and open ledger that records the transaction between two parties securely, verifiable and immutable. The transaction of records in the blockchain remains unchanged due to its immutable nature and all the records are verified and available to all the nodes of the block. The consensus algorithm to make ensure network safety and security at the time of computation. In this paper, we are trying to review blockchain technology of last one decade on various parameters. This paper is divided into phases. First phase is exploring the applications of blockchain in some areas like energy, finance, healthcare, government, etc. second phase focused on various issues and challenges of blockchain of recent advances have been reviewed. In third phase, challenges of blockchain and the future scope of blockchain technology.  This review paper will be benefited as an unbiased direction for the researchers.
실시간 온라인 한국어 수업 만족도에 매체 효능감, 실재감이 미치는 영향 - 사회통합프로그램 수업을 중심으로 -

Recently, many in-person classes have converted to virtual classes, and real-time online classes have gained popularity due to circumstantial factors. This study examines the media efficacy, feeling of presence, and satisfaction of learning experienced by students who take Korean classes as part of the KIIP program in the real-time online format. First, this study examines whether the media efficacy and feeling of presence vary depending on the level of fluency in Korean and analyzes whether media efficacy and feeling of presence affect the satisfaction of learning. The result is that fluency does not have a statistically significant effect on media efficacy and feeling of presence. Although feeling of presence significantly affects satisfaction of learning, the latter does not exhibit a relationship with media efficacy. This shows that fluency does not have a significant effect on media efficacy and feeling of presence and that the higher the feeling of presence, the higher the satisfaction of learning. In other words, this study shows that in real-time online Korean classes—a part of the KIIP program—a feeling of presence affects the satisfaction of learning.(Yonsei University)
The Use of YouTube Social Media in the Covid19 Pandemic to Improve Understanding of Mathematical Concepts

The purpose of this research was to find out any improvement in mathematics learning achievements of students after using YouTube as learning media in the Covid19 Pandemic, especially improvement in mathematics learning achievements about 2-variable linear equation system of students of Class X in Semester 1 SMK Bonaventura (a vocational high School in Indonesia), 2020-2021 academic year, after using YouTube as their learning media. This research was meant to explore if there is any improvement in mathematics learning achievements of students after using YouTube as learning media, especially improvement in mathematics learning achievements about 2-variable linear equation system of students of Class X in Semester 1 SMK Bonaventura, 2020-2021 academic year after using YouTube as their learning media. The researcher utilized a quasi-experiment with a 2x2 factorial concept. A closed group of SMK Bonaventura students was used as the research sampling. The research instrument is a comprehension ability test on mathematical theories. Anakova was used to analyze collected data. The researcher found out that there are different levels of students’ cognitive ability which study via YouTube created on Corel Videostudio X10 with ethnomathematical application and which studying conventionally, after controlling students’ initial abilities. Conclusion of this research is that students studying using YouTube with ethnomathematical application by way of Corel Video Studio X10 has positively affected their conceptual cognitive ability and are better than performance of students who study conventionally after controlling students’ initial abilities.
Montgomery Arithmetic over Gaussian Integers

Up to now, we have demonstrated that Gaussian integers are suitable for RSA and ECC systems. Moreover, we have illustrated that performing complex point multiplications over Gaussian integers is advantageous regarding robustness side channel attacks, computational complexity, and memory requirements. However, calculating the modular arithmetic over Gaussian integers is not trivial. Determining the modulo reduction for Gaussian integers is very computational intensive according to ( 3.1). In [37, 38], a new arithmetic approach was proposed based on Montgomery modular arithmetic over Gaussian integers. Due to the independent computation of real and imaginary parts of Gaussian integers, this principal reduces the hardware complexity of arithmetic operations, especially of the Montgomery reduction. It was shown in [37, 38] that a significant complexity reduction can be achieved for the RSA cryptographic system using Gaussian integers. Such a cryptographic system is presented in [103, 104]. Similarly, a Rabin cryptographic system was previously considered over Gaussian integers in [105, 106]. Moreover, coding applications over Gaussian integers [18, 19, 40, 107–109] could also benefit from an algorithm for the Montgomery reduction of Gaussian integers.
A Multi-level Hybrid Method for Dynamic Extraction and Normalization of Chinese Temporal Expressions

Since the semantic meaning of Chinese is intricate and complicated, traditional methods have deficiency in extracting the temporal information from Chinese texts. By adopting a way that combines the rule-based with the statistical-based methods, this paper puts forward a novel method for Chinese Temporal Expression Normalization based on context. The construction of this approach mainly employs sieve algorithm based on Bi-LSTM and benchmark time dynamic selection algorithm based on context. In this way, the dependency between contextual temporal information can be effectively used, and the "absolute time" and the "offset time" proposed in this paper also can be adopted for reasoning and calculation. Through the experimental testing in the TempEval2 task of SemEval-2010, we get precision, recall and F-score values that are 96.74%, 89.29% and 92.87%, respectively. Compared with the traditional rule-based method, the approach in the paper achieves better results overall, and solves the discrimination difficulty in part of the temporal phrases by combining the contextual semantics.
Students’ Writing Anxiety, Reading Motivation and Writing Achievement during Covid-19 Pandemic

A high level of students’ anxiety in writing is one of the factors behind unsatisfactory writing performances. It influenced the students to refrain from participating in any writing activities to reduce negative impressions from their classmates about their ability. It also led the students to avoid writing in the target language, and thus this can directly affect their writing performance. Moreover, the students with high levels of anxiety were less confident and did not enjoy writing-demanding situations. Thirty-three students were participating in this research. They were in the fifth semester of the English Education Department in one private university in Jakarta. The findings of this study showed that the higher the level of writing anxiety, the worse the writing ability, meanwhile the higher the level of reading motivation, the better the writing ability. These factors are essential, especially in teaching writing, to facilitate better students’ learning process during the Covid-19 pandemic.
LibGuides: Recursos de Coronavirus para hispanohablantes en Santa Clara | Coronavirus Resources for Spanish Speakers in Santa Clara: Libros para niños | Books for Kids

The purpose of this guide is to provide resources, such as books, e-books and websites, dedicated for Spanish speakers to easily find information on the novel coronavirus (COVID-19)
Satellite Quantum Modelling & Analysis Software Version 1.0: Documentation

Documentation for version 1.0 of the open-source software SatQuMA: Satellite Quantum Modelling & Analysis.
The Development of Android-Based Learning Media for Basic Accounting Subjects for Class X AKL at Al Ikhlas Vocational High School, Pangkalan Susu, Langkat Regency

This study aims to develop an Android-based learning application and compare student learning outcomes before and after using Android-based learning media in Basic Accounting subjects for class X AKL at Al Ikhlas Vocational High School Pangkalan Susu, Langkat Regency. The type of this research is the Borg & Gall R & D model. The stages carried out in the development of this media are the research and information gathering stage, the planning stage, the initial product development stage, the initial field test stage, the first stage of product analysis and revision stage, the field trial stage. Product II revision stage, and product refinement and implementation stage. The results showed that this android-based learning is valid based on the validation results of media experts reaching a percentage of 80% in the Good category, the results of material expert validation reaching a percentage of 76.5% in the Good category and the validation results of learning experts reaching a percentage of 82.7% in the Good category. Thus the android-based learning media developed is feasible to use. The increase in learning outcomes is shown by data analysis from pretest and posttest from the results of the T test which was carried out using the Pired Samples Test with a 95% truth level obtained a significance result of 0.000 <0.05, so there is a significant difference in student learning outcomes between before and after using android-based learning media.
Limitations of the Impagliazzo-Nisan-Wigderson Pseudorandom Generator against Permutation Branching Programs.

The classic Impagliazzo–Nisan–Wigderson (INW) pseudorandom generator (PRG) (STOC ‘94) for space-bounded computation uses a seed of length \(O(\log n \cdot \log (nw/\varepsilon )+\log d)\) to fool ordered branching programs of length n, width w, and alphabet size d to within error \(\varepsilon \). A series of works have shown that the analysis of the INW generator can be improved for the class of permutation branching programs or the more general regular branching programs, improving the \(O(\log ^2 n)\) dependence on the length n to \(O(\log n)\) or \(\tilde{O}(\log n)\). However, when also considering the dependence on the other parameters, these analyses still fall short of the optimal PRG seed length \(O(\log (nwd/\varepsilon ))\).
QSSA: An SSA-based IR for Quantum Computing.

Quantum computing hardware has progressed rapidly. Simultaneously, there has been a proliferation of programming languages and program optimization tools for quantum computing. Existing quantum compilers use intermediate representations (IRs) where quantum programs are described as circuits. Such IRs fail to leverage existing work on compiler optimizations. In such IRs, it is non-trivial to statically check for physical constraints such as the no-cloning theorem, which states that qubits cannot be copied. We introduce QSSA, a novel quantum IR based on static single assignment (SSA) that enables decades of research in compiler optimizations to be applied to quantum compilation. QSSA models quantum operations as being side-effect-free. The inputs and outputs of the operation are in one-to-one correspondence; qubits cannot be created or destroyed. As a result, our IR supports a static analysis pass that verifies no-cloning at compile-time. The quantum circuit is fully encoded within the def-use chain of the IR, allowing us to leverage existing optimization passes on SSA representations such as redundancy elimination and dead-code elimination. Running our QSSA-based compiler on the QASMBench and IBM Quantum Challenge datasets, we show that our optimizations perform comparably to IBM's Qiskit quantum compiler infrastructure. QSSA allows us to represent, analyze, and transform quantum programs using the robust theory of SSA representations, bringing quantum compilation into the realm of well-understood theory and practice.
Recognition of Air Traffic Controller’s Mouth State Based on Deep Convolutional Neural Network

The fatigue of air traffic controllers (ATCs) is an critical factor that threatens the safety of aviation operation. The existing yawn detection methods are less adaptable to the ATCs. In order to distinguish the two states of ATC radiotelephony communications and yawning, a yawn detection model with higher accuracy is established. Firstly, the region of interest (ROI) is extracted from 68 feature points of the face to extract the image as input to the neural network; secondly, convolution neural network is used to construct the classification model, and the mouth changes are divided into three categories; finally, the CAUC-YH data set is used to simulate the video production training and verification of the controller’s work, and the times of three recognition results are recorded respectively to realize the yawn recognition in a section of controller’s work video. It has been verified that this method has an accuracy of 89.75% on the data set.
mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset

The MS MARCO ranking dataset has been widely used for training deep learning models for IR tasks, achieving considerable effectiveness on diverse zero-shot scenarios. However, this type of resource is scarce in other languages than English. In this work we present mMARCO, a multilingual version of the MS MARCO passage ranking dataset comprising 8 languages that was created using machine translation. We evaluated mMARCO by fine-tuning mono and multilingual re-ranking models on it. Experimental results demonstrate that multilingual models fine-tuned on our translated dataset achieve superior effectiveness than models fine-tuned on the original English version alone. Also, our distilled multilingual re-ranker is competitive with non-distilled models while having 5.4 times fewer parameters. The translated datasets as well as fine-tuned models are available at this https URL.
The Interplay among HRM Practices, Job Satisfaction and Intention to Leave: An Empirical Investigation

This study aimed at investigating the impact of HRM practices (HRMPs) on employees’ intention to leave within the context of UAE’s educational sector. The mediating role of job satisfaction is also assessed. The study adopted a descriptive and analytical approach using a quantitative survey to collect the data and to test the proposed hypotheses. The sample was selected using cluster sampling method from UAE education sector. The researchers decided to use online form to save time and effort in delivering questionnaires, collecting data, and analysing results. The study revealed that both HRMPs and job satisfaction have statistically significant impact on employees’ intention to leave. HRMPs also have a significant statistical impact of job satisfaction. Furthermore, the mediating role of job satisfaction on the influential relationship between HRMPs and employees’ intention to leave is confirmed. The study recommends that top management should always make their efforts to assess and continually improve their HRMPs to avoid high turnover rate and to retain their talents. Implications and limitations are also outlined at the end of the paper.
THE EFFECTIVENESS OF USING WATTPAD TO IMPROVE STUDENTS’ WRITING SKILL IN VOCATIONAL HIGH SCHOOL

Technology has been used for some decades in the educational field to assist the teacher in providing knowledge. It also called as media which aids students in receiving the learning material and become more active and creative. There were some kinds of technologies; one of them is called Wattpad. It was developed by Allen Lau and Ivan Yuen in 2006. Wattpad is also one of the largest media platforms for reading and writing. It facilitated people to share their novel and people who wanted to read the stories. Many researchers were conducting research which exploring Wattpad to improve students’ skill, especially writing and reading ability. This research was aimed to find out whether Wattpad has contribution in developing students’ writing skill or not, and it is only focusing on writing recount text. It was conducted at one of the Vocational High School in Sidoarjo. The researcher used a pre-experimental research design and pre-test and post-test method to collect the data. This study took in one class only, which consist of 25 students. A pre-test was carried out before the treatment, to know the students’ knowledge about recount text. Post-test was carried out after the treatment to find out whether Wattpad can influence the students’ writing skill or not. The results of this study showed that Wattpad could enhance students’ writing skill. It can be seen from the result of students’ pre-test and post-test. It also supported by the students’ questionnaire showed that 13 students were comfortable and enjoyed when using Wattpad in learning writing recount text. The other 12 students were not enjoying and comfortable when using Wattpad in learning writing recount text. Keywords: Wattpad, Recount text, Writing skill