Reviewerly/exHarmony huggingface dataset:
K-12 Blended Teaching Skills and Abilities: An Analysis of Blended Teaching Artifacts

Several professional organizations, non-profit groups, and researchers have provided K-12 blended teaching (BT) competencies;however, few of these have connected competencies to concrete practices. This analysis used a set of research-based BT dispositions, technology skills, and competencies (i.e., proficiencies) to analyze a representative sample of 959 artifacts focused on BT practices to uncover the proficiencies important to K-12 BT. The dispositions recognized for BT appeared in 87.9% of the artifacts, personalization competencies in 58.3%, technology skills in 54.0%, data practices in 46.0%, implementation competencies in 37.1%, online integration competencies in 30.4%, and online interaction competencies in 5.6%. Each of these areas was analyzed in more detail, looking at specific examples and frequencies within each category. These findings provide a foundation for future research seeking to understand the competencies and practices important to K-12 BT.
Discriminant Analysis and Logistic Regression Applying To Credit Risk Management

The financial crisis that is currently shaking the world, particularly the successive failures of the major banks have brought the issue of banking risks, including credit risk, back to the forefront. This risk must now be managed by more sophisticated methods. In this paper we present two methods that allow us to establish two functions, namely Fisher discriminant analysis and logistic regression; these two functions allow us to evaluate the risk of non-repayment incurred by a bank in the light of our data. It emerges that Fisher discriminant analysis is more effective or efficient than logistic regression for the evaluation of the risk of non-repayment of credit. Discriminant analysis and logistic regression are two methods of credit risk management here the problem we are trying to solve is how to help banks choose the most efficient method between the latter two.
E-ballot System Based on Blockchain Technology

Constructing a secure e-voting system which provides the equality and privacy of existing voting programmes, while offering the transparency and flexibility of electronic voting systems has been a dispute for ages. The process of building a system which offers all the four parameters of efficiency is the goal of this e-ballot system. The e-ballot system works on the basis of a pre entered set of data that is tagged to a government approved identity or election voter id card. The voter is required to scan the card to authenticate his identity. Our paper proposes the usage of blockchain technology as a service, and distributed ledger systems to implement the e-voting system. In brief we study the current voting system along with the potential of blockchain technology and the usage of it in accordance with the process of a nationwide election. We aim at the overall security of the electronic voting system overcoming the flaws of the existing system while being cost efficient.The paper presented is constructed with the use of Arduino as a microcontroller in terms of hardware and software. Python is used as the software service to implement the requirements of blockchain. Techniques and tools used at the first phase such as RFID, Smart Contract and Blockchain which are further implemented at multiple processes along the election. Thereby making it possible to register and vote anonymously, this ensures that voter details are not visible nor can be tampered by any third party. The ideas presented are built upon the necessity for convenient, smooth and successful elections taking place.
Linear Promises: Towards Safer Concurrent Programming

In this paper, we introduce a new type system based on linear typing, and show how it can be incorporated in a concurrent programming language to track ownership of promises. By tracking write operations on each promise, the language is able to guarantee exactly one write operation is ever performed on any given promise. This language thus precludes a number of common bugs found in promise-based programs, such as failing to write to a promise and writing to the same promise multiple times. We also present an implementation of the language, complete with an efficient type checking algorithm and high-level programming constructs. This language serves as a safer platform for writing high-level concurrent code.
MiniLedger: Compact-sized Anonymous and Auditable Distributed Payments.

In this work we present MiniLedger, a distributed payment system which not only guarantees the privacy of transactions, but also offers built-in functionalities for various types of audits by any external authority. MiniLedger is the first private and auditable payment system with storage costs independent of the number of transactions. To achieve such a storage improvement, we introduce pruning functionalities for the transaction history while maintaining integrity and auditing. We provide formal security definitions and a number of extensions for various auditing levels. Our evaluation results show that MiniLedger is practical in terms of storage requiring as low as 70 KB per participant for 128 bits of security, and depending on the implementation choices, can prune 1 million transactions in less than a second.
ICT신기술 프로젝트의 협업능력, 피드백, 프로젝트 성과에 관한 탐색적 연구

ICT Projects are inherently unique to each other. The project, that is the activity of creating special products and services, is applied to achieve special purposes in various industries such as new product development and construction. As companies' digital transformation has accelerated due to the recent fourth industrial revolution. Information system projects using new ICT are being pushed forward. ICT projects, such as the development of information systems, are more important to manage projects due to the non-visibility and intangibility of project deliverables. This study explores the way to manage complexity and improve project performance in the environment of new technology ICT projects. To this end, based on prior researches, variables of technical complexity, collaboration, feedback, and project performance were derived, and empirically analyzed through the survey.
BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark.

Machine learning has recently demonstrated impressive progress in predictive accuracy across a wide array of tasks. Most ML approaches focus on generalization performance on unseen data that are similar to the training data (In-Distribution, or IND). However, real world applications and deployments of ML rarely enjoy the comfort of encountering examples that are always IND. In such situations, most ML models commonly display erratic behavior on Out-of-Distribution (OOD) examples, such as assigning high confidence to wrong predictions, or vice-versa. Implications of such unusual model behavior are further exacerbated in the healthcare setting, where patient health can potentially be put at risk. It is crucial to study the behavior and robustness properties of models under distributional shift, understand common failure modes, and take mitigation steps before the model is deployed. Having a benchmark that shines light upon these aspects of a model is a first and necessary step in addressing the issue. Recent work and interest in increasing model robustness in OOD settings have focused more on image modality, while the Electronic Health Record (EHR) modality is still largely under-explored. We aim to bridge this gap by releasing BEDS-Bench, a benchmark for quantifying the behavior of ML models over EHR data under OOD settings. We use two open access, de-identified EHR datasets to construct several OOD data settings to run tests on, and measure relevant metrics that characterize crucial aspects of a model's OOD behavior. We evaluate several learning algorithms under BEDS-Bench and find that all of them show poor generalization performance under distributional shift in general. Our results highlight the need and the potential to improve robustness of EHR models under distributional shift, and BEDS-Bench provides one way to measure progress towards that goal.
John E. Riley Library: Video Conferencing: Creating a BlueJeans Meeting within Canvas

Guides to Google Meet, Canvas Conferences, and BlueJeans for video conferencing. How to create a Bluejeans Meeting within a Canvas Course
한국군의 부수적 피해 관리 발전 방안

현대전에서 부수적 피해 예방의 중요성은 나날이 증가되고 있으며, 전쟁의 승리를 위해 반드시 고려해야 하는 전략적 요소이다. 이를 위해 미군은 미 합참의장지시서(CJCSI) 3160.01을 통해 부수적 피해 판단론(CDM)을 적용 중에 있으며, 우리 군도 이를 2010년부터 적용 중에 있지만, 현주소는 아직 걸음마 단계라고 할 수 있다.장차 전쟁을 수행해야 할 수도 있는 우리에게 부수적 피해에 대한 문제가 더욱 중요한 과제로 나타날 수 있음을 고려할 때 한국군의 부수적 피해 관리방안은 시급히 발전되어야 할 분야일 것이다.이에 본 연구에서는 한국군의 부수적 피해 관리에 대한 현주소를 진단하고, 부수적 피해에 대해 보다 본질적 차원의 접근을 통해 한국군의 종합적인 부수적 피해 관리방안에 대한 발전방안을 제시하였다. A Study on the Development Plan of Collateral Damage Management of ROK Forces  The importance of complying with law of war(LOW) and managing collateral damage in modern warfare is increasing day by day, and it is a strategic crucial factor that must be considered for the victory of the war. To this end, the U.S. military is applying CDM through the CJCSI 3160.01(No-Strike and the Collateral Damage Estimation Methodology). ROK forces also has been applied this methodology since 2010, but the current status is still in its infancy.  In the future, it should be considered that the issue of collateral damage management may emerge as a more important task for ROK forces, which has to carry out between homogeneous nations war in Korean peninsula, unlike other wars. Therefore, collateral damage management field will be an area that needs to be developed urgently.  In response, this study diagnosed the current address of collateral damage management of the ROK forces, and proposed development measures for comprehensive collateral damage management of ROK forces through a more essential and substantial approach to collateral damage.
Topic on An assessment of rainfall in Kumodugu Yobe river basin, Nigeria

The paper is aimed at predicting rainfall in the Kumodugu Yobe basin by 2040 using three models used by the IPCC 4th assessment with the following procedure: Looking at the climatology projected by each of the three models for the 20th century, looking at climatology projected at 2040 by each of the models and calculating the differences between the 21st and 20th century climatology?s of the models. In carrying out the studies, one set of observed data and three sets of Models used by the IPCC 4th assessment were used; observed precipitation Data set, NCAR models, GISS model and the CCCMA models were used for the studies. Climate data analysis tools known as Climate Data Operators (CDO) were used in calculating the climatology of the data sets. The calculated climatology was plotted using the Grid analysis and display system (GRADS) software. The outcome of the studies shows that there would be considerably decrease in rainfall base he prediction by NCAR model with 3 months of rainfall in July, October and November with two peaks compared to observe which gas one peak in August. The CCCMA model also has three months of rainfall with its peak in August and the GISS models predicts that there would be rainfall for eight months over the area. The reduction in the rainfall over the area will lead to the reduction in the flow of the river and will consequently affect the livelihood of the people that depend on it in the drainage basin. The limitations of the study is the in availability of getting stream flow data of the Yobe river which is initially intended to be used in comparing the predicted rainfall and the flow of the river and the study would be of an importance for the proper planning by policy makers on issues related to rainfall in the area.
A computationally rational model of human reinforcment learning

Author(s): Fang, Zeming; Sims, Chris R | Abstract: Human learning efficiency in reinforcement learning tasks decreases when the number of the presented stimuli increases, a finding known as the size effect. From the computational rationality perspective, this effect can be interpreted as the brain’s balancing task performance against rising cognitive costs. Still, it remains unclear how best to quantify cognitive cost in learning tasks. One candidate is policy complexity, defined in terms of information theory as the mutual information between the sensory input and behavioral response. However, using a published data set (Collins a Frank, 2012), we show that policy complexity alone cannot explain the set size effect because the optimal policy complexity does not necessarily increase with the set size. We therefore propose a computational model and conduct a model-based analysis to show the minimal constituents of cognitive cost are policy complexity and representation complexity---the information quantity conveyed from sensory inputs to internal representations.
중 · 일의 상륙전력 증강과 한국 해병대의 대비과제

Recently, landing forces in China and Japan have been building and increasing. Amid the Senkaku Island dispute between China and Japan and the deepening strategic competition between the U.S. and China, G2 China has recently been pushing for a major expansion of People’s liberation Army Navy Marine Corps. In response, Japan also hurriedly established the Amphibious Rapid Deployment Brigade under the Ground Self-Defense Force in March 2018, which is the equivalent of Japan’s Marine Corps, which can be recaptured during China’s occupation of Senkaku Island. It is required to maintain and strengthen Korea’s competitive strong Marine Corps strength, which is not behind China-Japan Marine Corps’ forces. The preparation tasks of the Korean Marine Corps indude ①the reinforcement of Marine Air Ground Task Groups, ②the development of doctrines, strategy and tactical theories that can utilize the characteristics of the Marine Corps in the era of the 4th Industrial Revolution, and ③strengthening combat capabilities and continuing to secure and maintain elite marines for the victory of the future landing battles. In order to successfully prepare for the future war, it is important to strengthen and expand peacetime independent and united forces to successfully carry out the landings operation along with constant revolution in military affairs. In order to successfully prepare for the future war, it is important to strengthen and expand peacetime independent and united military forces to successfully carry out the landings operation along with constant military innovation(revolution in military affairs).
Progressive Web Apps (PWA)

Progressive Web App is a term summarising all the features allowing you to deliver mobile-like experiences. Not only is it strongly promoted by Google. It is also quickly being adopted by big companies like Twitter or the Washington Post. A progressive web application takes advantage of the latest technologies to combine the best of web and mobile apps. Think of it as a website built using web technologies but that acts and feels like an app. Recent advancements in the browser and in the availability of service workers and in the Cache and Push APIs have enabled web developers to allow users to install web apps to their home screen, receive push notifications and even work offline. Progressive web apps take advantage of the much larger web ecosystem, plug ins and community and the relative ease of deploying and maintaining a website when compared to a native application in the respective app stores. For those of you who develop on both mobile and web, you’ll appreciate that a website can be built in less time, that an API does not need to be maintained with backwards-compatibility (all users will run the same version of your website’s code, unlike the version fragmentation of native apps) and that the app will generally be easier to deploy and maintain. According to a study, an average user spends 80% of his total time on apps on only three of his apps. The other apps just sit idle for most of this time consuming a precious portion of the memory. Moreover, it costs around ten times to develop an app rather than creating a website for the same. The cost can get much higher if you plan to develop and maintain separate code bases for different platforms like Android, iOS and the web.Native App features that PWAs can usePush notificationsFull ScreenOffline workingSplash screen is supported giving it a more app like feel
Blockchains in Sustainable Supply Chains – A Conceptual Framework Based on Triple Bottom Line Approach

Supply chain sustainability has become a topic of interest for researchers in the last few years. The COVID 19 pandemic has shone the spotlight on the need to inculcate sustainability in supply chains. Blockchain is a new technology that allows each player in a supply chain to communicate authenticated data without the need for a trusted central entity to act as a middleman. Blockchain can bring significant benefits to sustainable supply chains such as traceability and tracking, reducing stages and transaction times, disintermediation, better control over outsourced manufacturing and better supply chain visibility. However, very few studies have been done to analyze if the benefits of blockchain in supply chain do indeed outweigh the challenges in implementation .The present study conducts a thorough review of the available literature on the topic and proposes a conceptual framework of blockchain in supply chains, detailing the impact of this technology on social, economic and environmental performance and sustainability, otherwise known as the Triple Bottom Line (TBL).The study reveals that research into blockchains are showing an increasing trend and blockchains have significant impact on social, economic and environmental performance
M Face Recognition Approach using Stereo Matching Algorithm

This paper depicts a face acknowledgment structure that is equipped for preparing pictures across posture and enlightenment. The primary goal of this paper is to manufacture programmed face acknowledgment frameworks. This paper comprises of three primary segments of face acknowledgment structure. The principal segment is to construct the exhibition pictures of appearances alongside three milestone focuses. The subsequent segment bargains the enlightenment variety. The last segment handles the posture variety. The coordinating strategy of sound system handles the posture and articulation variety issues.
Layanan Penelusuran Informasi dan Layanan Turnitin Pada PSBB di Perpustakaan Institut Pertanian Bogor dan Perpustakaan Universitas Gadjah Mada

The world is currently facing a very severe pandemic, namely Covid-19. This has had a negative impact on various aspect of life such as economics, social, culture and so on. Libraries as an information service centres are also affected by the COVID-19. Librarians as information managers must have serious effort so that the user are not negatively affected by the emergence of this pandemic. Or even though it was affected, it did not hamper their studies in finding and obtaining the needed information and library services. The purpose of this study is to analyze library service statistics in terms of information retrieval and Turnitin services as well as to find out the librarian’s strategy in providing services during the pandemic. The method used is quantitative descriptive, comparing library services in 2019 (before the pandemic) with 2020 (during the pandemic), at IPB University and Gadjah Mada Univerity Libraries. The results of a stydy at IPB University Libraries show that there has been an increase in information retrieval services and turnitin services. Likewise, at the Gadjah Mada University Library, online services have been increasing for tracking final works and checking plagiarism by turnitin.
THE IMPLEMENTATION OF CONVERSATION IMPROVEMENT ON FISHBOWL METHOD TO IMPROVE THE SPEAKING ABILITY OF STUDENTS: A CASE STUDY OF TEACHING EFL AT SMAN 2 KUPANG

This research was conducted in Class X of SMAN 2 Kupang in the academic year 2018/2019. The subjects in this study were 36 students of class X IPA 1 of SMAN 2 Kupang. This study aimed to determine the increase in English speaking skills of students by applying the fishbowl method based on conversation improvement. This type of research was qualitative with descriptive design. Data collection techniques used in this study were tests, observations, and speaking assessment sheets. The researcher observed what students did while having a conversation in class. The researcher used 4 (four) conversation improvement strategies. In the pra research, there were 31 students (86%) failed to reach the minimum completion criteria. In the first cycle, there was an increasing of the results of students' speaking skills where 41% students reached the minimum completion criteria. At this stage, students had not shown significant improvement in linguistics aspects (such as stress, speech, tone and rhythm) and non-linguistics aspects (such as fluency and mastery of the topic). The results of the first cycle were followed up by the second cycle. The results showed that there was an increasing in the the minimum completion criteria for 88%. There were also significant improvements in linguistics aspects (such as stress, speech, tone and rhythm) and non-linguistics aspects (such as fluency and mastery of the topic).
IMBALANCE OF CLASSES IN SOLVING THE PROBLEM OF SOCIAL NETWORKS USER CLASSIFICATION FOR PROFESSIONAL ORIENTATION

The problem of data imbalance is often underestimated when solving classification problems. A classification model that looks well trained on your data and gives a good recognition rate may not be reliable. Consideration of this problem in the specific task of classifying users of social networks will make it possible to understand how, why and, most importantly, when it is necessary to get rid from data imbalances.
PERANCANGAN BUKU ILUSTRASI CERITA RAKYAT “MURTADO MACAN KEMAYORAN” UNTUK ANAK USIA 7-12 TAHUN

Indonesia is divided into many regions and each region has its own folklore. The Folklore has become one of the cultures of these areas, even more of them have not accepted by the community because it’s considered less attractive in this modern era, so this culture is endangered due to lack of awareness to preserve it. Even though, folklore is the nation's cultural roots which means these stories contain noble values for social life, for entertaining or educational. In this thesis, the method used by the author is the method of creation. This creation thesis is a work of creating a folklore illustration book entitled Designing a Betawi Folklore Illustration Book Macan for Children Age 7-12. Murtado Macan Kemayoran folklore isn’t widely known by children so it’s unfortunate if the children don’t know this folklore that’s in their place of residence. The purpose of creating this work is to preserve and introduce children with visualization so the children are more interested. This book also aims to foster children's interest in reading and be a means of education for children so they aren’t imitate the things that are not good and imitate the good things from the story so that they have the character as expected by their parents.
ANALYSIS OF THE RUSSIAN UNIVERSITY TEACHERS’ ROLE IN THE PROCESS OF DISTANCE LEARNING IN THE CONTEXT OF THE COVID-19 PANDEMIC

ANALYSIS OF THE RUSSIAN UNIVERSITY TEACHERS’ ROLE IN THE PROCESS OF DISTANCE LEARNING IN THE CONTEXT OF THE COVID-19 PANDEMIC