Reviewerly/exHarmony huggingface dataset:
To Mine or Not to Mine? The Bitcoin Mining Paradox

The aim of this paper is to study the profitability of Bitcoin mining, using the real options theory. The main factors driving the marginal Bitcoin mining profitability are the Bitcoin price, the hash-rate, the predictability of mining difficulty and the hardware efficiency. We propose a real options model that simulates the fundamental mining reward and measures the likelihood of break-even on initial investment and explores also the relationship between the Bitcoin price and the mining difficulty in different economic cycles. Some of our findings questions the rationality of miner’s decisions and attempts to measure their impact on the economics of Bitcoin. Our results show that after the 2017 bubble Bitcoin, miners had an irrational behavior and did not adjust their strategy based on the price levels.
Automatic Romanization of Arabic Bibliographic Records

International library standards require cataloguers to tediously input Romanization of their catalogue records for the benefit of library users without specific language expertise. In this paper, we present the first reported results on the task of automatic Romanization of undiacritized Arabic bibliographic entries. This complex task requires the modeling of Arabic phonology, morphology, and even semantics. We collected a 2.5M word corpus of parallel Arabic and Romanized bibliographic entries, and benchmarked a number of models that vary in terms of complexity and resource dependence. Our best system reaches 89.3% exact word Romanization on a blind test set. We make our data and code publicly available.
Knowledge Distillation For Wireless Edge Learning

In this paper, we propose a framework for predicting frame errors in the collaborative spectrally congested wireless environments of the DARPA Spectrum Collaboration Challenge (SC2) via a recently collected dataset. We employ distributed deep edge learning that is shared among edge nodes and a central cloud. Using this close-to-practice dataset, we find that widely used federated learning approaches, specially those that are privacy preserving, are worse than local training for a wide range of settings. We hence utilize the synthetic minority oversampling technique to maintain privacy via avoiding the transfer of local data to the cloud, and utilize knowledge distillation with an aim to benefit from high cloud computing and storage capabilities. The proposed framework achieves overall better performance than both local and federated training approaches, while being robust against catastrophic failures as well as challenging channel conditions that result in high frame error rates.
Library Home / LibGuides: Blackboard Basics for Students: Start Here

This guide is an introduction to Blackboard for Gwinnett Tech students. Students will find basic information to help them get started with using Blackboard.
Перекладаючи неперекладне: Е. Северино “Сутність нігілізму” (Ю. Олійник, В. Кебуладзе (модератор), Т. Лютий, А. Бондар): Лабораторія наукового перекладу

A whole number of Philosophical Thoughts published materials on the seminar Laboratory of Science Transition, which was assigned a discussion of the Ukrainian translation to the work of Emanuele Severino Sutness of Nigilizm. Seminar published on the 20th of February 2020 at the Department of Philosophy and Religious Studies of the National University Kyiv-Mohyla Academy for the contributions of the International Fund Renaissance and the fund Mizhvukhami. The text of the Ukrainian translation was presented by Yuriy Oliynyk. Experts bully Andriy Bondar and Taras Lyutiy. Moderating the seminar Vakhtan Kebuladze.
Development of a UI Submodel for the Industry 4.0 Component

A provision of user interfaces (UI) by use of the Industry 4.0 component and its asset administration shell (AAS) requires the development of a new UI submodel. Depending on the intended use case and the planned context of use, the submodel needs to be able to store and characterize multiple UI fragments (Variants of the UI) that shall be included in UI solutions. For that, appropriate properties need to be identified and a submodel structure has to be designed. In order to apply the newly designed UI submodel in a plug and produce scenario, the properties need to be formally specified, thus, being interpretable by automatic tools. This contribution presents a UI submodel, a catalogue of UI fragment properties, and a first case study applying these properties to UI fragments of existing industrial systems.
University Student’s Academic Scheduler

The current existing application does not specialized for university students’ need in schedule tasks and events within a single place. This project is to design and develop then test a new android mobile application that specialized for university students which help them to schedule task. The application is developed using the Object-Oriented (OO) concept and implemented using the Java programming language. Academic scheduler for university students may help university students scheduling their tasks. Hence, it may be a way of resolving the task scheduling problem faced by university students.
Virtual faculty mentoring: Can it be accomplished through embodied conversational agents?

Presentation of embodied conversational agents as a candidate virtual supplement in virtual faculty mentoring.
The patter of semantic function of cataphora in social media news Headlines

The aim of this study is to find the distribution and semantic function of cataphora based on quantitative research in social media news. When looking at the frequency from 2015 to 2020, it was being used more frequently than before. By section, it was frequently used in “culture” and “entertainment” then “social” and “political”. The cataphora often appears in combination with specific adverbs or exclamations, or in combination with extreme or exaggerated expressions, indicating that the cataphora have a more systematic function for discourse functions. In terms of combination, the cataphora, combined with nouns or investigations, clearly indicate specific people or situations, but use rhetorical techniques that cause interest because they do not explicitly reveal the person or event they are subject to using correspondence. The range of cataphora, the target of coordination, which is directed by the cataphora in the title, was often implicit in sentences, images, or discourse, not only in the trailing vocabulary, therefore it was used in various ways. if the main information is covered by a cataphora, it could create a misunderstanding amongst the readers.
Research of the Principles of Homomorphic Encryption

The purpose of this study is to study the methods and principles of cryptographic systems that have the property of homomorphism, that is, they are capable of performing various operations with encrypted data without decrypting them. As an experiment, a program will be implemented that will perform cloud computing, taking a function as input and outputting its graph as output. This will allow you to find out how effective such a cryptographic system is and whether it can be used in real conditions.
SPECTRAL ESTIMATION OF TIME SERIES

As a result of spectral analysis, namely, the fast Fourier transform (FFT) method, the wavelet transform method, the Hilbert-Huang transform method, certain periods of the time series representing the monthly average values of the sunspot numbers were identified.
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared Task

In this paper we describe TraSpaS, a submission to the third shared task on named entity recognition hosted as part of the Balto-Slavic Natural Language Processing (BSNLP) Workshop. In it we evaluate various pre-trained language models on the NER task using three open-source NLP toolkits: character level language model with Stanza, language-specific BERT-style models with SpaCy and Adapter-enabled XLM-R with Trankit. Our results show that the Trankit-based models outperformed those based on the other two toolkits, even when trained on smaller amounts of data. Our code is available at https://github.com/NaiveNeuron/slavner-2021.
Deep reinforcement learning and automatic target recognition: synergies and opportunities

In recent years, the field of artificial intelligence has shown significant progress in solving problems that seemed impossible just a few years ago: from the real-time autonomous control of super-pressure balloons in the stratosphere to reducing the energy required for cooling a data centre, and from training robots to acquire skills that generalize effectively to diverse real-world objects and situation to improving mobile phone battery use and screen brightness for millions of people. Underlying all these real-world success stories is a collection of methods known as deep reinforcement learning which has proven superior at finding near-optimal policies of behaviors. We envision that combining deep reinforcement learning with automatic target recognition, which extracts actionable military information from sensor data, will have a meaningful impact on the future of warfare.
Perancangan E-Government Sistem Administrasi Pada Stasiun Meteorologi Menerapkan User Center Design (UCD)

E-Government, namely the use of information and communication technology, for various purposes in order to implement effective and efficient government administration and operational activities in office activities. The first problem experienced includes the process of managing incoming mail data and outgoing mail data, which are still scheduled in the letter agenda book and important documents are still stored in the odner and are not managed by the system so that if there is a loss or computer error one day, all data will be lost and need more space and costs to manage documents. The second problem is that service activities in the form of requests for weather and climate data are still not integrated and without applications so that service users need less efficient time and energy because they do not know or lack the requirements to get the required climate weather information. Seeing the obstacles encountered. Therefore, the system that will be created by researchers is a web-based information system that functions as a data processing medium, both incoming and outgoing mail data and data on transaction letters requesting weather and climate data. By implementing this information system, it is hoped that it can minimize the errors and difficulties experienced so far and help employees to search and provide data in a fast, precise and without problems. In designing the E-Government application, the Administration System at the Meteorological Station uses the Waterfall method and uses the Yii Framework in making applications
PERENCANAAN ULANG SISTEM DRAINASE JALAN RAYA SUKOHARJO - JALAN RAYA PENARUKAN KECAMATAN KEPANJEN KABUPATEN MALANG

Three km Jl. Raya Sukoharjo – Jl. Raya Penarukan District Kepanjen Malang Regency at some point there is a puddle caused by rainwater, and some drainage channels along the road not functioning as they should. The purpose of this thesis is to redesign drainage channels, and calculate the budget cost and time of work. In redesign of drainage system needed rainfall data from the nearest three rain stations namely, Blambangan, Ngajum, and Kepanjen UPTD, year 2009-2018, topographical map, population data, and the price of central unit Malang Regency in 2018.  For the processing of rainfall data the design used the Gumbel method, calculation of rain intensity using the Mononobe method, and calculation of drainage capacity using the Manning equation. The result of evaluation and calculation is not all existing drainage channels need to be redesign, but only in some part. Rainfall design with 10 year period of 107.749 mm/day. The smallest channel dimensions are 1 m x 0.5 m and the largest is 2 m x 1 m with the total bdget cost of IDR 11,935,899,000.00 on 82 workdays.
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle

Human-robot shared autonomy techniques for vehicle navigation hold promise for reducing a human driver’s workload, ensuring safety, and improving navigation efficiency. However, because typical techniques achieve these improvements by effectively removing human control at critical moments, these approaches often exhibit poor responsiveness to human commands—especially in cluttered environments. In this paper, we propose a novel goal-blending shared autonomy (GBSA) system, which aims to improve responsiveness in shared autonomy systems by blending human and robot input during the selection of local navigation goals as opposed to low-level motor (servo-level) commands. We validate the proposed approach by performing a human study involving an intelligent wheelchair and compare GBSA to a representative servo-level shared control system that uses a policy-blending approach. The results of both quantitative performance analysis and a subjective survey show that GBSA exhibits significantly better system responsiveness and induces higher user satisfaction than the existing approach.
Development of literacy culture in multy-cultural country

Illiteracy still becomes a problem in various developingcountries. Indonesia as a multi-cultural country needs to make efforts to eradicate illiteracy, one of which is through the development of a literacy culture. The purpose of this research is to know the condition and role of government, public and community groups in the development of literacy culture. The government, public and community groups have made efforts in the development of literacyculture, one of which is the creation of TBM. However, the role and performance have not been optimal due to the development gap, budget constraints, and lack of information and public awareness about the importance of literacy culture.
Toward Development of A.D.A. – Advanced Distributed Assistant

The A.D.A. – Advanced Distributed Assistant – project aims to build a smart distributed personal assistant, that is, a virtual agent that can interact with the user through an ecosystem of devices, such as IoT (Internet of Things), by voice commands in Portuguese. The project is divided into six scientiﬁc initiation subprojects from different areas of computer science, where each one is co-advised by a graduate student. An open source proof of concept is being created in order to demonstrate the assistant capabilities and its applications in public and private domains.
THE INFLUENCE OF EXIT SLIP STRATEGY TOWARDS STUDENTS’ WRITING ABILITY AT EIGHT CLASS OF SMP NEGERI 6 BANDAR LAMPUNG IN THE ACADEMIC YEAR OF 2018/2019

The objective of this research were to know and describe wether there is positive influence of Exit Slip strategy towards students’ writing ability and to know wether the average score of students’ writing ability who learn writing through Exit Slip strategy is higher than those who learn writing through direct instruction. In this research, the writer used quasi experimental method and the sampling of research was cluster random sampling. The samples are class VIII. I as the experimental class which consist of 31 students and VIII. H as the control class which consist of 31 students. While collecting the data the writer used a test in the form of essay type. The data were analyzed by using ttestformula. In this case, the result of ttest computation show that ttest is = 11,48 while the value of ttable is 0,05 = 1,67 and 0.01 = 2,39. In other words, ttest was higher than ttable. Therefore, the Alternative Hypothesis (Ha) is accepted while Null Hypothesis (H0) is rejected. It can be conluded that there is an influence of students’ writing ability taught by using exit slip strategy. Besides, the writer found that the mean score of the experimental class is 59.0 while the mean score of the control class is 49.58. Therefore, Exit Slip Strategy is quite effective to improve students’ writing ability.
LibGuides: OneSearch: The Library Discovery Tool: Refining Results and Tools

This guide is here to help the Cal State LA campus become more familiar with the library discover tool and how it works.
LibGuides: Instructional Services: Library Support for Online Instruction: Add the Library Block to a Moodle Course

This guide provides information on how Idaho State University libraries supports faculty who teach online courses.
Gradient Masked Federated Optimization.

Federated Averaging (FedAVG) has become the most popular federated learning algorithm due to its simplicity and low communication overhead. We use simple examples to show that FedAVG has the tendency to sew together the optima across the participating clients. These sewed optima exhibit poor generalization when used on a new client with new data distribution. Inspired by the invariance principles in (Arjovsky et al., 2019; Parascandolo et al., 2020), we focus on learning a model that is locally optimal across the different clients simultaneously. We propose a modification to FedAVG algorithm to include masked gradients (AND-mask from (Parascandolo et al., 2020)) across the clients and uses them to carry out an additional server model update. We show that this algorithm achieves better accuracy (out-of-distribution) than FedAVG, especially when the data is non-identically distributed across clients.
Issue of Securities through Blockchain Technology

Blockchain technology has become a buzz word in the financial market. The market of bitcoins and related instruments are being discussed and adopted. The use of blockchain technology has also started in the accounting. So it is pertinent to study the use of blockchain in the securities market. The recent issue of commercial paper through blockchain technology by Vedanta group is its beginning. Therefore this paper is an attempt to explore the possibility of the blockchain technology in the securities market and identifying possible barriers in adopting this technology. It explains the working of blockchain and how it will be used in the transfer of securities.
Library Guides: Bridging the Gap: Ensuring Digital Equity through WiFi Hotspot Lending: What's in the box?

Information on the MSU Library's WiFi Hotspot Lending Program (funded in part by NNLM Technology Innovation Grant).
What Physical World do We Live in?

It is shown that the hypothesis of the Monoverse corresponding to the existing version of the special theory of relativity is erroneous. The existing version of the special theory of relativity itself is also erroneous. A revised version of it is presented, the relativistic formulas of which allowed creating a hypothesis of the hidden Multiverse. The hypothesis of the hidden Multiverse is based on the general scientific principle of the physical reality of imaginary numbers proved by the author. It is shown that this hypothesis, in contrast to numerous other hypotheses of the Multiverse and the hypothesis of the Monoverse, is already verifiable. And the experimental proof of the reality of the existence of the hidden Multiverse is the phenomenon of dark matter and dark energy. Other experimental evidence is also proposed. As a result of processing the data obtained by the WMAP and Planck spacecraft, the structure of the hidden Multiverse, which turned out to be quaternion, was determined, and its parameters were determined. According to these calculations, the hidden Multiverse contains from twenty to twenty-two parallel universes, of which five to six neighboring universes create the phenomenon of dark matter, and the rest of the parallel universes create the phenomenon of dark energy. In addition, it has been shown that our hidden Multiverse is adjacent to other Multiverses, which are inaccessible to our observations not only by electromagnetic, but also by gravitational manifestations, with which in aggregate it forms the Hyperverse.
Why Older Adults (Don't) Use Password Managers

Password managers (PMs) are considered highly effective tools for increasing security, and a recent study by Pearman et al. (SOUPS'19) highlighted the motivations and barriers to adopting PMs. We expand these findings by replicating Pearman et al.'s protocol and interview instrument applied to a sample of strictly older adults (>60 years of age), as the prior work focused on a predominantly younger cohort. We conducted n=26 semi-structured interviews with PM users, built-in browser/operating system PM users, and non-PM users. The average participant age was 70.4 years. Using the same codebook from Pearman et al., we showcase differences and similarities in PM adoption between the samples, including fears of a single point of failure and the importance of having control over one's private information. Meanwhile, older adults were found to have higher mistrust of cloud storage of passwords and cross-device synchronization. We also highlight PM adoption motivators for older adults, including the power of recommendations from family members and the importance of education and outreach to improve familiarity.
Artificial Intelligence and Conscious Brain Waves

The human brain emits waves that we do not feel. The waves emanating from the brain are conscious and aware. The human brain is made up of a large number of nerve cells called neurons. The brain sends various messages to different parts of the body and receives messages from them through neurons. Human brain waves can also communicate directly with Artificial Intelligence. Artificial Intelligence is concerned with intelligent behavior in artifacts and has three common characteristics with human being: learning, problem-solving and decision-making. The direct connection between human brain waves and Artificial Intelligence is a challengeable issue, because it has lots of advantages and disadvantages. One of the most challengeable issues is reading the human mind by artificial intelligence, that is, the privacy of people will be in danger. Another issue is that governments can control their people according to their own will, not the will of the people. On the other hand, direct connection between human brain waves and Artificial Intelligence has lots of advantages, among them, solving the problem of dumb people, resolving family disputes, creating peace and intimacy between people, increasing the power of memory and strengthening the immune system can be mentioned. As this technique will appear soon, it is necessary to inform people of it and codify its specific rules and regulations in order to avoid misuse it.
Modest Filter Socialization for Wastewater Discharge Resulted From Laundry Activity in Palangka Raya

The increase of laundry service for clothes in Palangka Raya will affect the amount of waste generated from the service. The waste is discharged directly without undergoing the necessary process. Therefore, it has the potential to cause environmental pollution, in particular, water. The community service program aims at socializing the filtering of laundry wastewater to the laundry services. The filtering process is by absorption and filtration methods of the surfactant in the waste not to exceed the standard. The community service program's outcome target is to socialize the filter of laundry waste towards the laundry service owners at Palangka Raya city. The research finding proves that there has not been any filtering system to minimize environmental pollution, mostly water, due to the detergent material. Laundry services usually use detergent for the washing to consider its cleaning characteristics that are more effective than ordinary washing soap. The detergent's main content is an ionic compound tripolyphosphate functioning as a builder and surfactant. The socialization towards laundry services is by directing them to not discharge the wastewater directly into drainage; therefore, the wastewater can settle and deposited.