Reviewerly/exHarmony huggingface dataset:
Tujuan Pengendalian Internal Berbasis Nilai Keamanan Sistem Informasi Dalam Organisasi Perusahaan

This study aims to determine the purpose of value-based internal control for information systemsecurity, incorporate organizations both in terms. of the group and individual information systems inthe organization or company. Internal control plays an important role in the overall effectiveness ofinformation system security. A theoretical framework of means-fundamental objectives for internalcontrol in the context of information systems security is presented. Data were collected throughin-depth interviews with 52 IT managers about their values in defining internal control. A total of68 objectives were identified which were organized into 25 groups of seven basic objectives and 18means. These findings provide the basis for further theoretical exposition in the field of securitygovernance. They also assist in defining policy initiatives related to governance. This research wasconducted library research (library research) by collecting data from sharing existing literature,articles obtained from internet searches. The results obtained from this study are: How is thesecurity for physical and non-computer resources, protection from loss or unexpected changes todata and networks.
日本語의 「數詞＋助數詞」 읽기에 대한 고찰 ― 『NHK日本語発音アクセント新辞典』의 数詞 1~10을 중심으로 ―

In the appendix of 『NHK Japanese Pronunciation Accents New Dictionary』 published in 2016, there is a list of 258 Japanese counter suffixes, along with readings of the numeral. Of course, as it is an accent dictionary, pronunciation and accent marks are the main purposes, but it contains the readings of numeral and assistants that cannot be found in general dictionaries, so it can be said to be useful for practical purposes in everyday conversation and Japanese language education. In this presentation, we analyze and observe the characteristics of the word shapes in the readings (word form) of the numeral 1 to 10, which correspond to the 258 words of the counter suffixes in the new dictionary. Let's take a look at the aspects of each investigation.
Curriculum Design for Teaching via Demonstrations: Theory and Applications

We consider the problem of teaching via demonstrations in sequential decision-making settings. In particular, we study how to design a personalized curriculum over demonstrations to speed up the learner's convergence. We provide a unified curriculum strategy for two popular learner models: Maximum Causal Entropy Inverse Reinforcement Learning (MaxEnt-IRL) and Cross-Entropy Behavioral Cloning (CrossEnt-BC). Our unified strategy induces a ranking over demonstrations based on a notion of difficulty scores computed w.r.t. the teacher's optimal policy and the learner's current policy. Compared to the state of the art, our strategy doesn't require access to the learner's internal dynamics and still enjoys similar convergence guarantees under mild technical conditions. Furthermore, we adapt our curriculum strategy to teach a learner using domain knowledge in the form of task-specific difficulty scores when the teacher's optimal policy is unknown. Experiments on a car driving simulator environment and shortest path problems in a grid-world environment demonstrate the effectiveness of our proposed curriculum strategy.
중국어권 학습자의 관형사형 어미 사용 오류 분석 - ‘-던’과 ‘-었던’을 중심으로

The purpose of this study is to distinguish various meanings of the Korean adnominal endings '-ten' and '-essten', and to analyze the Chinese learner's use of those endings. Korean adnominal endings '-ten' and '-essten' have many similarities and differences in regard to the semantic functions. And when '-ten' and '-essten' combine with the temporal adverbs, verbs, and nouns, they are also restricted. For these reasons, it is difficult to learn '-ten' and '-essten' for Chinese learners. To suggest the teaching methods of '-ten' and '-essten' for educators teaching Chinese learners, this study distinguished the similarities and differences in regard to the semantic functions base on precedent research. Secondly, this study examined the Chinese learner's use of '-ten' and '-essten' by analyzing their language corpus. Thirdly, this study analyzed the reasons for Chinese learners' performance errors.
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis

We derive a novel information-theoretic analysis of the generalization property of meta-learning algorithms. Concretely, our analysis proposes a generic understanding of both the conventional learning-to-learn framework and the modern model-agnostic meta-learning (MAML) algorithms. Moreover, we provide a data-dependent generalization bound for a stochastic variant of MAML, which is non-vacuous for deep few-shot learning. As compared to previous bounds that depend on the square norm of gradients, empirical validations on both simulated data and a well-known few-shot benchmark show that our bound is orders of magnitude tighter in most situations.
Hand Guidance Using Grasping Metaphor, Wearable Haptics, and LeapMotion

In this demo, we propose a novel method for hand guidance, combining grasping metaphor, wearable haptics, and camera-based hand tracking. To guide the hand towards the desired orientation, the system generates vibration exploiting the grasp theory, asking the user to align the perceived wrench with the gravity. An error-depending vibration intensity is considered as feedback method.
The effect of a polygon route that is not stretched on the investigation of a rough incorrectly measured angle and edge

When a traverse net is in a tense position, the angles measured between the directions observed at the traverse points are close to 200g. If the angles measured between the directions observed at the traverse points are around 100g or 300g, this indicates that the net is not in a tight manner. In both the Large-Scale Map and Map Information Production Regulation and the 1/2500 Large Scale Map Production Regulation, which was abolished, the traverse nets created must be stretched. In the event that the net is disturbed for compulsory reasons, there is no problem in the coordinate calculation of the traverse unless a rough error is made in the size of the edge and angle. However, if a rough error is made in the angle or edge dimension on a non-taut traverse net, is it possible to determine the point where the rough faulty edge or rough faulty angle is measured with the taught rules? Whether this is possible or not was investigated in this study. In this study, theoretical information on the subject has been given and practical studies have been done. Findings and opinions obtained as a result of the study are stated.
An introduction to COVID-19 and federalism

The COVID-19 pandemic is an unprecedented international event. The spread of the coronavirus – the biggest public health crisis in a century and the first of this scale in the globalized modern world – has prompted unparalleled responses by national governments. While, in most federal countries, the constitutional power to deal with national disasters or emergencies resides with the federal government, the delivery of health services is often the remit of constituent units, such as states, provinces, and cantons, as well as local governments. Thus, responding to the public health and economic crisis brought on by the pandemic has required policy interventions at the level of federal governments as well as constituent units. The pandemic has clearly raised questions about the effectiveness of the governance response to the crisis in federal countries. This touches on issues such as the roles and responsibilities of various orders of government and the adequacy of existing institutions and processes of intergovernmental relations.
Innovative methods and technologies of training specialists in the conditions of postgraduate pedagogical education

In the context of postgraduate pedagogical education reform, transition to multi-level training of teachers, ensuring competitiveness of specialists in a reasonable labor market, issue of preparing future teachers for professional and pedagogical activities is very relevant. Since the Republic of Kazakhstan joined ranks of independent States, changes in public awareness, along with all its areas have increased the requirements for the level of teachers’ professionalism, achievements in science and industry, and introduction of advanced technologies. In education of a person who meets the new requirements of society, as a factor in ensuring national security, we consider the training of creative teachers who think innovatively, make complex pedagogical decisions, formulate problems, and change their stereotypes. The research uses interview to collect data on the topic. The study discusses the benefits of the undergraduate, masters and PhD programs.&#x0D; Keywords: design training technology; hardware platforms; modern technologies; SAS-study.&#x0D; &#x0D;
On Episodes, Prototypical Networks, and Few-Shot Learning

Episodic learning is a popular practice among researchers and practitioners interested in few-shot learning. It consists of organising training in a series of learning problems, each relying on small “support” and “query” sets to mimic the few-shot circumstances encountered during evaluation. In this paper, we investigate the usefulness of episodic learning in Prototypical Networks, one of the most popular algorithms making use of this practice. Surprisingly, in our experiments we found that, for Prototypical Networks, it is detrimental to use the episodic learning strategy of separating training samples between support and query set, as it is a data-inefficient way to exploit training batches. This “non-episodic” version of Prototypical Networks, which corresponds to the classic Neighbourhood Component Analysis, reliably improves over its episodic counterpart in multiple datasets, achieving an accuracy that is competitive with the state-of-the-art, despite being extremely simple.
A Two-Step Best-Worst Method (BWM) and K-Means Clustering Recommender System Framework

Finding a suitable item among thousands or even millions of items on e-commerce websites is a cumbersome task. Recommender systems are designed as a solution to this challenge. A decent recommender system helps the customers to find items matching their taste and preferences. This paper suggested that the clusters of multi-criteria decision-making (MCDM) weights can be used as a representation for the diversity of priorities in society. The weights are computed using the Best-Worst Method (BWM). A customer is assigned to a cluster of weights based on his/her former orders. During the next step, the probability of buying an item is computed. It has been discussed why the proposed model is suitable for real-world recommender systems. A general guidance on practical implementation is also provided. A case study of fifty-nine students on their preferred criteria of mobile and laptop will be analyzed to investigate the validation of the framework.
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources

Domain adaptation (DA) benefits from the rigorous theoretical works that study its insightful characteristics and various aspects, e.g., learning domain-invariant representations and its trade-off. However, it seems not the case for the multiple source DA and domain generalization (DG) settings which are remarkably more complicated and sophisticated due to the involvement of multiple source domains and potential unavailability of target domain during training. In this paper, we develop novel upper-bounds for the target general loss which appeal to us to define two kinds of domain-invariant representations. We further study the pros and cons as well as the trade-offs of enforcing learning each domain-invariant representation. Finally, we conduct experiments to inspect the trade-off of these representations for offering practical hints regarding how to use them in practice and explore other interesting properties of our developed theory.
Exploring Trade-Off between Complexity, Accuracy and Fluency in Ielts Speaking

With the rising fever of going abroad and studying abroad, more and more candidates have joined the ranks of the International English Language Testing System (IELTS). IELTS oral test examines candidates' ability to communicate in English in real context. Based on the theory of complex dynamic system, this study tracks the dynamic development of Chinese learners' oral fluency in IELTS, and explores the interaction among complexity, accuracy and fluency by using mobile correlation technology. This study shows that complexity and accuracy are in a competitive relationship at the initial stage of the study, and gradually turn into a supportive relationship at the later stage, that is, they develop synergistically, which proves the comprehensive characteristics of complex dynamic system theory. Oral English development is complex, dynamic, multidimensional and sensitive to initial values.
Effectiveness Combination of Electrolysis-Photolysis as Alternative for Drinking Rainwater Treatment

Rainwater can solve the crisis of clean water and drinking water in Indonesia. The utilization of rainwater as an alternative source of drinking water is one step in encouraging the Sustainable Development Goals (SDGs) program. One technology that can treat rainwater into drinking water is a combination of electrolysis with UV disinfection. Electrocoagulation can reduce physical and chemical pollutant loads, while biological parameters can be reduced by disinfection. Electrocoagulation is the process of clotting and deposition of fine particles in water using electrical energy. UV disinfection is a physical process of removing pathogenic bacteria in water with the help of ultraviolet light. The results of the combination of electrolysis with UV disinfection showed that it could reduce TDS parameters by 69%, turbidity by 72%, color by 18%, hardness by 50%, Fe by 43%, and E-Coli by 100%. So that the water quality has met the drinking water quality standards according to Permenkes No.492, the year 2010, it proves that the combination of electrolysis – UV disinfection is effective in processing rainwater into drinking water.
THE EFFECT OF WORD SEARCH PUZZLE GAME IN TEACHING VOCABULARY TO THE SIXTH GRADE STUDENTS OF SDN KOLPAJUNG II

In this study there are two problems of study. The first is Is there any effect of Word Search Puzzle Game in teaching vocabulary to the sixth grade students of SDN Kolpajung II. The second how significant is the use of Word Search Puzzle Game gives effect in the teaching vocabulary to the sixth grade students of SDN Kolpajung II.The population of this research is all of students at the sixth grade of SDN  Kolpajung II. While the sample of this research is the sixth grade students of  SDN Kolpajung II. There are 29 students of sixth grade at SDN Kolpajung II. In this research uses quantitative approach, while research design that is used in this research is pre-experimental. Research instruments that used in this study are test and documentation. Test is used to measure students vocabulary. While documentation is used to support and complete the data such as lesson plan, pre-test and post-test scores, photo, etc. The result of this research is there was significance effect of Word Search Puzzle Game in teaching vocabulary to the sixth grade student at SDN Kolpajung II because the t-value was higher than t-table in significance alpha 5% The score of t-value in this research was 2,05 and the score of t-table was 10.865 in level significance 5% with degree of freedom 28  ( 10.865>2,05  ). From these results, it is suggested to the English teachers to use an appropriate technique in teaching English especially in teaching vocabulary, in this case using Word Search Puzzle Game since Word Search Puzzle Game was gave positive effect in teaching vocabulary. It is also expected for further researchers to continue this research on the other vocabulary items.
A Survey on Various Unimodal Biometric Techniques

An automized verification of an individual from biometric features that are extracted from the behavioral or physical characteristics. The verification system can easily discriminate between a permitted person and an intruder. The biometric system is using biometrics attributes rather than ID card or password. The uses of biometrics can be found in personal computers, banks, ATMs, credit cards, cell phones, social and health services. In the future, biometrics may use more than one type of biometrics attributes rather than using the single one. Unimodal biometrics has some problems with the features. In this paper, some unimodal biometrics is presented.
Clockwork Variational Autoencoders

Deep learning has enabled algorithms to generate realistic images. However, accurately predicting long video sequences requires understanding long-term dependencies and remains an open challenge. While existing video prediction models succeed at generating sharp images, they tend to fail at accurately predicting far into the future. We introduce the Clockwork VAE (CW-VAE), a video prediction model that leverages a hierarchy of latent sequences, where higher levels tick at slower intervals. We demonstrate the benefits of both hierarchical latents and temporal abstraction on 4 diverse video prediction datasets with sequences of up to 1000 frames, where CW-VAE outperforms top video prediction models. Additionally, we propose a Minecraft benchmark for long-term video prediction. We conduct several experiments to gain insights into CW-VAE and confirm that slower levels learn to represent objects that change more slowly in the video, and faster levels learn to represent faster objects.
High Efficiency Light Field Image Compression : Hierarchical Bit Allocation and Shearlet-based View Interpolation

Over the years, the pursuit of capturing the precise visual information of a scenehas resulted in various enhancements in digital camera technology, such as highdynamic range, extended depth of fie ...
A Review of Blockchain Applications in a Variety of Fields

A blockchain is a distributed database of records, or public ledger, of all transactions or digital events that have been completed and shared among participants. Each transaction in the public ledger is double-checked by a majority of the system's members. Information can't be deleted once it's been entered. Every transaction ever made is recorded in the blockchain, which is certain and provable. The most well-known example of blockchain technology is Bitcoin, a decentralized peer-to-peer digital currency. Although the digital currency bitcoin is divisive, the blockchain technology that underpins it has performed well and has a wide range of uses in the financial and non­financial sectors. The basic idea is that the blockchain creates a distributed consensus system in the digital online world. By producing an irrefutable record in a public ledger, involved entities can be assured that a digital event occurred. It makes it possible to transition from a centralized to a democratic, open, and scalable digital economy. This innovative technology offers great prospects, and a revolution in this field is only getting started. This white paper introduces blockchain technology and some of its most attractive applications in the financial and non­financial sectors. Then we look at the problems and opportunities that this foundational technology, which is poised to alter our modern world, presents.
Wireless Sensor Networks for Healthcare

Wireless device networks area unit associate degree integral a part of world health care (WSN). WSNs area unit a brand new technology that has the potential to revolutionize health care. WSNs promise to create life easier by greatly enhancing and increasing the quality of treatment across a good varies of settings and population segments. device network that's wireless device network technologies area unit one among the most analysis areas in technology and also the health care application sectors, and that they are getting mature enough to be used for enhancing the standard of life. With continuous police work, pervasive health care networks offer made discourse information and alerting mechanisms against uncommon conditions. This reduces the necessity for caregivers and permits inveterately sick and older folks to measure severally, furthermore as providing quality treatment for babies and little kids who’s each oldsters work. Despite its several blessings, the sector still faces important challenges, that area unit examined during this paper. we have a tendency to gift many progressive examples, alongside style concerns like inconspicuousness, quantifiability, energy consumption, and protection, furthermore as an intensive examination of the advantages and challenges of those systems.
Caption Enriched Samples for Improving Hateful Memes Detection

The recently introduced hateful meme challenge demonstrates the difficulty of determining whether a meme is hateful or not. Specifically, both unimodal language models and multimodal vision-language models cannot reach the human level of performance. Motivated by the need to model the contrast between the image content and the overlayed text, we suggest applying an off-the-shelf image captioning tool in order to capture the first. We demonstrate that the incorporation of such automatic captions during fine-tuning improves the results for various unimodal and multimodal models. Moreover, in the unimodal case, continuing the pre-training of language models on augmented and original caption pairs, is highly beneficial to the classification accuracy.
A Stochastic Newton Algorithm for Distributed Convex Optimization

We propose and analyze a stochastic Newton algorithm for homogeneous distributed stochastic convex optimization, where each machine can calculate stochastic gradients of the same population objective, as well as stochastic Hessian-vector products (products of an independent unbiased estimator of the Hessian of the population objective with arbitrary vectors), with many such stochastic computations performed between rounds of communication. We show that our method can reduce the number, and frequency, of required communication rounds compared to existing methods without hurting performance, by proving convergence guarantees for quasi-self-concordant objectives (e.g., logistic regression), alongside empirical evidence.
The Transformative Potential of School-based Makerspaces

Technology-rich creative learning environments, often referred to as makerspaces, are attracting increased attention in education as mediators of novel approaches to innovative design and learning. Despite their growing popularity, makerspaces present an understudied educational phenomenon. By drawing on a body of empirical research on makerspaces in a Finnish school, our chapter will offer significant insights into understanding the potential and tensions of school-based makerspaces for student-driven creative learning and educational change.