Reviewerly/exHarmony huggingface dataset:
Literasi Informasi Siswa Kelas X Jurusan Administrasi Perkantoran di SMK Nusatama Padang

AbstractIn this paper, a review of information literacy is discussed for class X Office Administration Department at Nusatama Padang Vocational School. This study aims to find out how information literacy in class X Office Administration Department at Nusatama Vocational School Padang. This study uses a descriptive method with a quantitative approach, which is collecting data directly by distributing questionnaires to class X students of the Office Administration Department at Nusatama Vocational School Padang. Based on the analysis of the data it can be concluded that the information literacy skills of class X Office Administration Department at Nusatama Padang Vocational School are still not good, because in information literacy activities in class X Office Administration Department of Nusatama Padang Vocational School often misuse media use in seeking information carried out by students. Students use smartphones in search of information, but there are still many class X students who use smartphones as a medium for entertainment. Student knowledge about information literacy activities is still not good. Many students still do not understand the ethics and stages of finding good and true information. This results in frequent occurrence of students who are wrong in getting and using information. In addition, in the evaluation activities there are not many students who rank the level of usefulness of the information they need, students only search for information and get it without reading and understanding the information to be used in advance. So, from the results obtained it can be said that students of Class X Office Administration Department at Padang Nusatama Vocational School still lack understanding of actual information literacy skills and Class X students of Office Administration Department are still classified as students who fail information literacy.Keywords: information, literacy.
Key-and-Argument-Updatable QA-NIZKs.

There are several new efficient approaches to decreasing trust in the CRS creators for NIZK proofs in the CRS model. Recently, Groth et al. (CRYPTO 2018) defined the notion of NIZK with updatable CRS (updatable NIZK) and described an updatable SNARK. We consider the same problem in the case of QA-NIZKs. We also define an important new property: we require that after updating the CRS, one should be able to update a previously generated argument to a new argument that is valid with the new CRS. We propose a general definitional framework for key-and-argument-updatable QA-NIZKs. After that, we describe a key-and-argument-updatable version of the most efficient known QA-NIZK for linear subspaces by Kiltz and Wee. Importantly, for obtaining soundness, it suffices to update a universal public key that just consists of a matrix drawn from a \(\mathrm {KerMDH}\)-hard distribution and thus can be shared by any pairing-based application that relies on the same hardness assumption. After specializing the universal public key to the concrete language parameter, one can use the proposed key-and-argument updating algorithms to continue updating to strengthen the soundness guarantee.
Algebraic Distinguishers: From Discrete Logarithms to Decisional Uber Assumptions.

The algebraic group model, introduced by Fuchsbauer, Kiltz and Loss (CRYPTO ’18), is a substantial relaxation of the generic group model capturing algorithms that may exploit the representation of the underlying group. This idealized yet realistic model was shown useful for reasoning about cryptographic assumptions and security properties defined via computational problems. However, it does not generally capture assumptions and properties defined via decisional problems. As such problems play a key role in the foundations and applications of cryptography, this leaves a significant gap between the restrictive generic group model and the standard model.
THE INFLUENCE OF MOVIE MAKER IN M-LEARNING MODEL AND LEARNING MOTIVATION TOWARD THE SPEAKING ABILITY OF ELEVENTH GRADE STUDENTS AT STATE SENIOR HIGH SCHOOL 1 PAYUNG

This study was to investigate the Influence of Movie Maker in the M-Learning Model and learning motivationtoward the speaking ability of eleventh-gradestudents at State Senior High School 1 Payung. The population of this study is all of the eleventh-grade students of Senior High School 1 Payung, in the academic year of 2019/2020. The sample was 60 students taken by two-stage random sampling. In carrying out the research, the researcher used factorial design. To know the classification of students who had high and low motivation. The researcher was conducted 20 items. Then, in analyzing the data used independent sample t-test and two-way ANOVA. The result of this study indicated that; Firstly,there was asignificant difference in speaking ability between eleventh-grade students with high and those with low motivation who were taught through collaborative learning methods by using Movie Maker.Secondly, there was asignificant difference in speaking ability between eleventh-grade students with high motivation and those with low motivation who were taught by using conventional teaching techniques.Thirdly, there was asignificant difference in speaking ability between eleventh-grade students of high motivation who were taught through collaborative learning methods by using Movie Maker and those who were taught by using conventional teaching techniques.Lastly, there was not any significant interaction effect of the collaborative learning method by using Movie Maker and learning motivation towards students’ speaking ability.
Derivation of Optimal Parameters According to Path Curvature by Policy Gradient Reinforcement Learning

Machine learning technology has become important in many fields. In robotics, for example, the robot learns the parameters autonomously according to the environment and runs. In the case of a robot that moves autonomously on wheels, the travel path and parameters such as speed and amount of turning must be adjusted. In this paper, we propose to find parameters that allow fast and smooth running along each path and switch between them according to the curvature. To find the optimal running parameters, we define the running state of the robot and propose a learning method that applies policy gradient reinforcement learning. We implement and verify the effectiveness of the proposed method on a real robot.
Security and convenience of a central bank digital currency

An anonymous token-based central bank digital currency (CBDC) would pose certain security risks to users. These risks arise from how balances are aggregated, from their transactional use and from the competition between suppliers of aggregation solutions. The central bank could mitigate these risks in the design of the CBDC by limiting balances or transfers, modifying liability rules or imposing security protocols on storage providers.
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records

An estimated 180 papers focusing on deep learning and EHR were published between 2010 and 2018. Despite the common workflow structure appearing in these publications, no trusted and verified software framework exists, forcing researchers to arduously repeat previous work. In this paper, we propose Cardea, an extensible open-source automated machine learning framework encapsulating common prediction problems in the health domain and allows users to build predictive models with their own data. This system relies on two components: Fast Healthcare Interoperability Resources (FHIR) -- a standardized data structure for electronic health systems -- and several AUTOML frameworks for automated feature engineering, model selection, and tuning. We augment these components with an adaptive data assembler and comprehensive data- and model- auditing capabilities. We demonstrate our framework via 5 prediction tasks on MIMIC-III and Kaggle datasets, which highlight Cardea's human competitiveness, flexibility in problem definition, extensive feature generation capability, adaptable automatic data assembler, and its usability.
A discussion game for the grounded semantics of abstract dialectical frameworks

Abstract dialectical frameworks (ADFs) have been introduced as formalism for the modeling and evaluating argumentation. However, the role of discussion in evaluating of arguments in ADFs has not been clarified well so far. We focus on the grounded semantics of ADFs and provide the grounded discussion game. We show that an argument is acceptable (deniable) in the grounded interpretation of an ADF without any redundant links if and only if the proponent of a claim has a winning strategy in the grounded discussion game.
Optimising advertisement effectiveness a bridge positioning approach

The aim of the study is to find out whether the bridge positioning approach will help to cut down the advertisement wastage and take right decision. Research is an exploratory and experimental longitudinal research carried out in three phases. The concept of positioning based on unique consumer perceptions is applied to measure and optimise the advertising effectiveness application of new position based on unique consumer perception bridges the gaps in the communication strategy of advertising, and thus this bridge positioning approach helps to optimise the advertisement effectiveness and improves purchase intentions. The image sensing theory, memory network theory, and theory of congruity are used to explain the role of unique consumer perception-based bridge positioning in improving the advertisement effectiveness. Research finding reports that usage of bridge positioning, improves the advertisement effectiveness and helps in taking the right decision. It is a practitioner paper with the objective to take right advertisement decision. Contribution: it is a practical paper with the objective to improve the advertisement effectiveness. This is an attempt to implement unique consumer perception-based bridge positioning approach to improve advertisement effectiveness and purchase decisions in emerging markets like India. Improving advertisement effectiveness is a major problem faced by the industry.
Challenges and opportunities of adopting ICTs in the humanitarian sector in Nigeria

The humanitarian sector is overwhelmed with the constant need to be responsive to situational crises that have arisen in different parts of the world as a result of natural and, sometimes, man-made disasters. The results of which typically include violence, loss of life and a means of livelihood. One of such man-made humanitarian crisis situations is that happened in the north-eastern region of Nigeria. Challenges faced in the region include internal displacement, human casualties and food shortages. Information and communication technologies have played a role in ensuring that productivity is unencumbered by physical restraints. The challenges and opportunities of adopting the necessary technological innovations are explored in this paper with the aim of providing a framework that might be applicable to similar situations
Penelusuran Informasi Lulusan Sastra Indonesia (Studi Kasus: Tracer Study)

Abstract The writing of this paper aims to describe the profile of Indonesian Literature Study Program graduates at Padang State University, and describe the success of Indonesian Literature graduates viewed from their profession and income, and describe the opinions of Indonesian Literature graduates in terms of academic services while studying at Padang State University.This type of research is quantitative research. Data was collected using a questionnaire. The location of this research was carried out on the google from application or social media. The object of the study was Indonesian Literature alumni who responded to 71 alumni. Data collection techniques by sharing the link https://forms.gle/UThrexUYVvkmb13q9 questionnaire through WhatshApp media. Data analysis is done using the google from application. Based on the results of the study concluded as follows. First, the profile of graduates of the Indonesian Literature Study Program at Padang State University can be seen from the number of respondents who responded to the questionnaire that had been distributed, the number of alumni in the last 5 years was 240 alumni, while those who responded were only 71 alumni, and the most common among women, and on average to get the first job alumni only takes 3-6 months. Secondly, the success of Indonesian Literature graduates seen from the profession and alumni income from the results of the study proved that many respondents worked while entrepreneurship, and on average the respondents answered the knowledge that jobs with education obtained were not in the field of work, and the salary for the first job received by respondents on average it reaches Rp. 1,000,000-2,000,000. Third, the opinion of Indonesian Literature graduates in terms of academic services during their education at Padang State University, the respondents' opinions on academic services as well as service delivery and overall service quality assessment of aspects of teaching and learning are quite good, such as disciplinary knowledge, knowledge competencies outside the field of science , general knowledge competencies, information technology mastery skills, and others.Keywords: search, information, alumni, Indonesian literature
Using Self-Attention LSTMs to Enhance Observations in Goal Recognition

Goal recognition is the task of identifying the goal an observed agent is pursuing. The quality of its results depends on the quality of the observed information. In most goal recognition approaches, the accuracy significantly decreases in settings with missing observations. To mitigate this issue, we develop a learning model based on LSTMs, leveraging attention mechanisms, to enhance observed traces by predicting missing observations in goal recognition problems. We experiment using a dataset of goal recognition problems and apply the model to enhance the observation traces where missing. We evaluate the technique using a state-of-the-art goal recognizer in four different domains to compare the accuracy between the standard and the enhanced observation traces. Experimental evaluation shows that recurrent neural networks with self-attention mechanisms improve the accuracy metrics of state-of-the-art goal recognition techniques by an average of 60%.
MGPAN: Mask Guided Pixel Aggregation Network

Recently, semantic segmentation and instance segmentation methods have been widely adopted by arbitrary shaped text detection tasks. In this paper, we propose a combined framework termed Mask Guided Pixel Aggregation Network (MGPAN), which takes advantage of the accuracy of the segmentation method and of the efficiency of the anchor-based method. Specifically, the segmentation branch learns texts, kernels and similarity vectors, and the mask branch learns bounding boxes and masks of texts just like one stage instance segmentation tasks. Both of these two branches share the backbone and the feature pyramid enhancement modules. Then, a kernel enhancement algorithm is applied to accelerate the post processing process. It reduces time cost of post processing, which is helpful in batch processing pictures. Quantitative measurements validate the efficiency of the proposed method in detecting arbitrary shaped text.
Research Guides: Virtual Student Research Symposium: About

This guide will offer resources for creating a digital presentation for the Virtual Student Research Symposium.
Principales obstáculos en la adquisición de la pronunciación entre los aprendices surcoreanos de ELE: causas, consecuencias y propuestas

Although pronunciation plays a crucial role in oral communication, still very little attention, if any, is usually paid to it in most textbooks and courses of Spanish as a foreign language. South Korea does not constitute any exception to this situation, as learners in this country are hardly given any chances to satisfactorily understand and practice Spanish pronunciation. In fact, most textbooks and courses try to settle pronunciation in a few pages or a couple of sessions, usually making no clear distinction between phonology and orthography, while ignoring most prosodic elements. The approach that most textbooks and courses of Spanish as a foreign language to teach the target language could explain many of the most common problems that South Korean learners face when dealing with oral Spanish. The purpose of this article is to point out the relation between those problems in pronunciation and the methodological approach taken regarding this very aspect, while making some proposals to help learners to overcome those problems tracing them to their roots.
Assessing writing for workplace purposes: Risks, conundrums and compromises

Academic writing ability is an important aspect of success in higher education. Recently, standardized academic language proficiency tests (such as the TOEFL) have begun to include integrated writing tasks, which ask test-takers to read and/or listen to a passage and construct a response that reflects the information in the passage(s). Arguably, integrated tasks more closely resemble authentic academic tasks than independent tasks, and therefore increase the construct validity of assessment tools that include them (Cumming et al., 2005; Taylor & Angelis, 2008). A number of recent studies have investigated differences between the products and processes of responding to independent and integrated tasks (Guo et al., 2013; Kyle & Crossley, 2016; Plakans, 2009a; Plakans & Gebril, 2013). In this study, the relationship between automated indices of source text use and holistic quality scores is investigated, building on Plakans and Gebril (2013). The results indicate that a number of indices related to content word overlap and n-gram overlap explained a substantial portion of the variance in holistic scores. These results generally align with the findings of Plakans and Gebril (2013), and provide important implications for increasing the construct coverage of automated scoring models (such as e-rater).
Disruptive technology adoption dynamics by United Arab Emirates small-to-medium enterprises

This paper investigates the determinants of disruptive digital technology adoption by SMEs the UAE. Despite evident benefits, little is known from a high-income transition economy perspective. The paper exploits this gap with a survey questionnaire administered on a sample of 500 state registered SMEs, whose data is examined via factor analysis and a regression model. The results indicate that the key determinants of disruptive dig-tech adoption are ownership structure, size, education, industrial and gender. Concentrated shareholding, small size, male-gender and family ownership exert a negative impact on disruptive dig-tech adoption. SMEs controlled by the young and educated are early and significant adopters of dig-tech. The sample is small which may limit the generalisability of the results. Expanding the sample may generate a wider diversity of industrial sectors and yield meaningful insights. The results offer all stakeholders insights into disruptive dig-tech adoption, especially where digitisation drives government policy.
PEMANFAATAN TEKNOLOGI BLOCKCHAIN PADA PROGRAM SERTIFIKASI DOSEN

The development of Information Technology is growing rapidly in the world, especiallyin Indonesia, education can be assessed as the development of information media as a teachingand learning process. Certification is the process of getting a professional certificate by collectinga portfolio. These portfolios are interrelated with one another. The certification itself is a processof giving awards to lecturers by submitting certificates as physical evidence that the lecturer hasfulfilled performance, as an expert and the process of lecturer welfare by providing professionalallowances with the aim of lecturers being professional in their fields. One problem is claimingor manipulating certificates. In the process of making a certificate requires a system to deal withthe problem of certificate forgery. Blockchain technology is a distributed database technology.The blockchain transaction database cannot be tampered with so it is safer in its validity andprivacy and is not easily manipulated. The purpose of this research is to create a secure systemfor certificate documents with a data protection system to detect if there is an activity of falsifyingor manipulating data. Digital SHA is used to maintain the integrity of certificate data in digitalformat.Keywords: Certification Lecturers, Performance, Blockchain technology
A Single Mode Optical Cavity Containing Four (up to 1000) Independent Spin Waves

We present an experimental scheme for many-body quantum-electrodynamics by multiplexing of cavity-coupled spin-wave excitations. We experimentally observe the core phenomena and point the way toward creating many-body entanglement in a test-bed quantum network.
Using Market Basket Analysis to Find Semantic Duplicates in Ontology

This paper proposes a novel approach to detecting semantic duplicates in an ontology that was integrated from many other ontologies. The proposed approach is based on using: (1) a query log that was issued against the ontology; and (2) the Apriori and FP algorithms from market basket analysis, where sales transactions are viewed as queries and items in a sales transaction are viewed as search terms in a query. To prove the viability of the proposed approach, the paper also presents the results of four experiments that were conducted on the OntoLife ontology.
Supeconducting nanowire multi-photon detectors

We propose superconducting nanowire multi-photon detectors with simple bias and readout circuitry to count n-fold photon coincidences, where n is set by bias conditions. We present the concept, device architecture, and operating principle.
Integration of CTI into security management

Current thesis is a documentative approach to sum up experiences of a practical projectof implementing Cyber Threat Intelligence into an existing information securitymanagement system and deliverin ...
Let's Tessellate: Tiling for Security Against Advanced Probe and Fault Adversaries.

The wire probe-and-fault models are currently the most used models to provide arguments for side-channel and fault security. However, several practical attacks are not yet covered by these models. This work extends the wire fault model to include more advanced faults such as area faults and permanent faults. Moreover, we show the tile probe-and-fault adversary model from CRYPTO 2018’s CAPA envelops the extended wire fault model along with known extensions to the probing model such as glitches, transitions, and couplings. In other words, tiled (tessellated ) designs offer security guarantees even against advanced probe and fault adversaries.