Reviewerly/exHarmony huggingface dataset:
Central Bank Digital Currency and Balance Sheet Policy

This paper studies a stylized economy in which the central bank can hold either treasuries or risky securities against central bank digital currency (CBDC) deposits. The key mechanism driving the results is the reduction in bank deposits that follows the introduction of a CBDC and its impact on the banking sector. With CBDC funds invested in treasuries, the central bank channels funds back to the banking sector via open market operations and the introduction of a CBDC is neutral, consistently with the equivalence theorem of Brunnermeier and Niepelt (2019). However, it is not neutral when accounting for liquidity requirements, quantitative easing, or for CBDC deposits held against risky securities. We reach two main conclusions. First, current monetary policy regimes do matter for CBDC equilibrium effects. Second, there is a trade-off between bank lending to the economy and taxes, as holding risky assets against CBDC deposits leads to lower expected taxes and lower bank lending.
Markpainting: Adversarial Machine Learning meets Inpainting

Inpainting is a learned interpolation technique that is based on generative modeling and used to populate masked or missing pieces in an image; it has wide applications in picture editing and retouching. Recently, inpainting started being used for watermark removal, raising concerns. In this paper we study how to manipulate it using our markpainting technique. First, we show how an image owner with access to an inpainting model can augment their image in such a way that any attempt to edit it using that model will add arbitrary visible information. We find that we can target multiple different models simultaneously with our technique. This can be designed to reconstitute a watermark if the editor had been trying to remove it. Second, we show that our markpainting technique is transferable to models that have different architectures or were trained on different datasets, so watermarks created using it are difficult for adversaries to remove. Markpainting is novel and can be used as a manipulation alarm that becomes visible in the event of inpainting.
How quarantine affected information security: a political analysis

Since the end of last year, the new COVID-19 infection has had an unprecedented impact on various areas of human life, including the modern technological structure. Among the global negative factors, both health problems and cybersecurity challenges were noted. Security problems with remote access to the novel coronavirus COVID-19 during a pandemic are identified for objective and subjective reasons. On the one hand, accessing the Internet from home is not difficult from a security point of view, on the other hand, the transition to quarantine was unexpected.
Let’s talk about the benefits of Citizen Science for European policy-makers on 22 June

EU-Citizen.Science is inviting representatives from ministries across Europe and at the regional and local levels to engage in a discussion about ...
Commutative Lie Group VAE for Disentanglement Learning

We view disentanglement learning as discovering an underlying structure that equivariantly reflects the factorized variations shown in data. Traditionally, such a structure is fixed to be a vector space with data variations represented by translations along individual latent dimensions. We argue this simple structure is suboptimal since it requires the model to learn to discard the properties (e.g. different scales of changes, different levels of abstractness) of data variations, which is an extra work than equivariance learning. Instead, we propose to encode the data variations with groups, a structure not only can equivariantly represent variations, but can also be adaptively optimized to preserve the properties of data variations. Considering it is hard to conduct training on group structures, we focus on Lie groups and adopt a parameterization using Lie algebra. Based on the parameterization, some disentanglement learning constraints are naturally derived. A simple model named Commutative Lie Group VAE is introduced to realize the group-based disentanglement learning. Experiments show that our model can effectively learn disentangled representations without supervision, and can achieve state-of-the-art performance without extra constraints.
PERBANDINGAN PERFORMANSI ANTARA MONGODB DAN MARIADB

Along with the use of information technology in almost all sectors of life, making databases has a very important role in being able to store and process large amounts of data effectively, and high performance is required when processing the database. The Nosql database is widely used in managing very large amounts of data besides that it is also an open source database, but so far many still use the mysql database which is an open source DBMS and has many communities. This paper will compare the performance between a relational database that stores structured data (Sql) and a database with a dynamic and unstructured schema (Nosql). Specifically the database being compared between MariaDB and MongoDB. An experiment will be carried out by performing a query insert, update, delete on the two databases, with the number of records of 500, 1000, 5000, 7500 and 10000, besides that, it is also tested for a select query without criteria, with 1 criterion and 2 criteria. And from the experiments conducted it can be concluded that for insert, update and delete queries on a single NoSQL table has a much better response time. Whereas the select query without NoSQL criteria also has a better response time, but to display all data with criteria, especially the two database criteria, the SQL version has a better response time than NoSQL.
Design of Information System Buddhist Identity Card in Riau Province Using Java Programming Language

Buddhist Identity Card (KTUB) Is a proof of self-identity of Buddhists issued by SAGIN based on SAGIN DPP Decree number: 002/DPPSAGIN/VI/2016 concerning the instructions for implementing the Visuddhi procedure and making of Buddhist Identity Card (KTUB). In the analysis of a new system that will be used as material to overcome problems is to build an application system that allows data collection can be controlled through a computerized system. Starting from the Login process to the Community Data Collection Process. Where the program will be built in accordance with the Form from the Great Sangha Indonesia (SAGIN) and integrated with the program in the MBI Secretariat in Riau Province. This makes it easier in the event of an error or correction of data which is a major factor in KTUB. Computer-based information system that is used in order to produce data quickly and accurately using Java applications and simplifies the data collection process of the KTUB form by using a computerized system.
기계번역 활용 한국어 작문 교육의 효과 -MTPE 작문 교수법 개발과 적용-

The purpose of this study is to prepare a pedagogical plan for teaching Korean composition using machine translation and examine its effects. In this study, a machine translation post editing (MTPE) teaching method on composition was developed. It was designed by modifying and supplementing the post-editing technique used in the field of interpretation and translation, in line with foreign language education. Afterward, it was applied to the Korean writing composition class to examine its effects. According to the results of the study, the MTPE teaching method has brought about a significant impact in improving the writing ability of Korean learners. Through this, the possibility of teaching composition classes through machine translation was verified and proposed the future direction of writing education based on machine-translation tools. (Dong-A University)
Animal Trailer In Traffic V2.0

With This Mod You  Have In Traffic For Ai Cars, Trailer With Animated Livestock (cows And Horses)! First, I’ve intended to make this mod for Jazzycat ...
DBacademic: Conectando os dados abertos das instituições de ensino do Brasil

Public institutions have a large amount of data that could be used to improve their services. This has motivated a movement called open data. In this sense, Brazil and other countries have created laws that encourage and, in a compulsory manner, guarantee that institutions open their public data. Through the Decree no 8.777 of 2016, it was defined that all federal institutions prepared their Open Data Plan. This decree led to the creation and publication of a large volume of open data by the various public institutions. Currently, each institution maintains it’s data in isolation, which makes it impossible to query data between them. The purpose of this work is then to connect these data to a large data repository called DBacademic. To that end, open data from 25 public educational institutions were extracted, transformed and uploaded to this repository. This transformation resulted in almost 900 thousand triples that can be queried through the following address: www.dbacademic.tech. The results showed the potential of this solution to enable several relevant queries that would be very difficult to be carried out as isolated repositories.
Review Paper on Data Mining and Classification

Data mining is utilized for mining data from databases and discovering significant examples from the database. Numerous associations are currently utilizing these data mining strategies. This paper surveys the idea just as the techniques for the data mining and gives the total a thought regarding the idea The paper also discusses about the type of the classification in the data mining. The paper also describes the various methods which are used in the process of the data mining. In short the paper gives the complete information regarding the data mining and its concepts.
Features Analysis and Extraction Techniques for the Image Steganography

The image stenography is utilized to provide security to sensitive data. Several techniques are planned so far for creating an effective stegno image. The existing technique makes the utilization of discrete wavelet transform for detecting the edges from the images and the final stegno image is produced by inserting text on the detected edges. This research work deploys the Grey Scale Co-occurrence Matrix (GLCM) to create the stegno image so that the attributes can be extracted. The text is inserted into the image using PCA (Principal Component Analysis). MATLAB is applied to test the performance of suggested model. The testing depicts that the suggested model provides efficient performance concerning PSNR (Peak signal-to-noise ratio) and MSE (mean squared error).
The Sb-Au-district Brandholz/Goldkronach (Fichtelgebirge, Germany): mineralogical indications for the evolution of hydrothermal Sb-mineralization.

&amp;lt;p&amp;gt;The Brandholz/Goldkronach district is situated in the southeastern part of Germany in the Bavarian Fichtelgebirge. Previous literature of the mineralogy of the district is rather descriptive and modern geochemical analysis are entirely missing. In this contribution, we combine petrography, bulk rock-geochemical analysis, SEM-MLA as well as EPMA to infer on precipitation mechanism and ore-forming processes. The quartz-polymetallic-sulfide veins are hosted in Ordovician shists, called &amp;amp;#8220;Phycodenschiefer&amp;amp;#8221;, which were intruded by upper Devonian meta-basalts. Antimony-sulfides are the main ore mineralization inside of the quartz-veins, accompanied by minor auriferous arsenopyrite and pyrite. Petrographic observations suggest a precipitation of an early stibnite phase (stage I). Sb-Pb-sulfides/sulfosalts (stage II) precipitated in fractures and fissures of stage I stibnite with a slightly change to Pb-rich Sb-phases. The antimony-mineralization event evolved from stibnite (Sb&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;S&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;), over f&amp;amp;#252;l&amp;amp;#246;ppite (Pb&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;Sb&amp;lt;sub&amp;gt;8&amp;lt;/sub&amp;gt;S&amp;lt;sub&amp;gt;15&amp;lt;/sub&amp;gt;), zinkenite (Pb&amp;lt;sub&amp;gt;9&amp;lt;/sub&amp;gt;Sb&amp;lt;sub&amp;gt;22&amp;lt;/sub&amp;gt;S&amp;lt;sub&amp;gt;42&amp;lt;/sub&amp;gt;), plagionite (Pb&amp;lt;sub&amp;gt;5&amp;lt;/sub&amp;gt;Sb&amp;lt;sub&amp;gt;8&amp;lt;/sub&amp;gt;S&amp;lt;sub&amp;gt;17&amp;lt;/sub&amp;gt;) to boulangerite (Pb&amp;lt;sub&amp;gt;5&amp;lt;/sub&amp;gt;Sb&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt;S&amp;lt;sub&amp;gt;11&amp;lt;/sub&amp;gt;). Chemical analyses corroborate the petrographic observations and indicate a change in the hydrothermal environment from a Sb- to Sb-Pb dominated system with a distinct geochemical change from Pb-free to Pb-containing Sb-phases. A characterization of the precipitation sequence can be used to improve the understanding of the hydrothermal evolution of the whole Sb-Au-ore system in Goldkronach.&amp;lt;/p&amp;gt;
Abuse Resistant Law Enforcement Access Systems.

The increasing deployment of end-to-end encrypted communications services has ignited a debate between technology firms and law enforcement agencies over the need for lawful access to encrypted communications. Unfortunately, existing solutions to this problem suffer from serious technical risks, such as the possibility of operator abuse and theft of escrow key material. In this work we investigate the problem of constructing law enforcement access systems that mitigate the possibility of unauthorized surveillance. We first define a set of desirable properties for an abuse-resistant law enforcement access system (ARLEAS), and motivate each of these properties. We then formalize these definitions in the Universal Composability (UC) framework, and present two main constructions that realize this definition. The first construction enables prospective access, allowing surveillance only if encryption occurs after a warrant has been issued and activated. The second, more powerful construction, allows retrospective access to communications that occurred prior to a warrant’s issuance. To illustrate the technical challenge of constructing the latter type of protocol, we conclude by investigating the minimal assumptions required to realize these systems.
How to Prove Work: With Time or Memory

Proof-of-work is attracting more attention with the boom of cryptocurrencies. The scheme involves a prover and a verifier. The prover is required to solve a computationally hard problem, i.e., the PoW puzzle, for the verifier to verify. However, the widely adopted hash-based PoW is done by highly dedicated hardware, e.g., "ASIC", which is not generally accessible, let alone the high energy consumption rates. In this work, we recall the original meaning of "proof of work" and propose a novel "advice-based" framework in a trusted setting. We present the constructions based on computational assumptions and the unified definition of hard cryptographic primitives by Biryukov and Perrin (Asiacrypt' 17). Our PoW scheme can be time-hard or memory-hard while cutting down power consumption and reducing the impact of dedicated hardware.
Interventional Assays for the Latent Space of Autoencoders.

The encoders and decoders of autoencoders effectively project the input onto learned manifolds in the latent space and data space respectively. We propose a framework, called latent responses, for probing the learned data manifold using interventions in the latent space. Using this framework, we investigate holes in the representation to quantitatively ascertain to what extent the latent space of a trained VAE is consistent with the chosen prior. Furthermore, we use the identified structure to improve interpolation between latent vectors. We evaluate how our analyses improve the quality of the generated samples using the VAE on a variety of benchmark datasets.
Noise reduction of signals received from wearable sensors along with integrating their information with machine learning

Sensors have been widely used in data collection systems, especially for medical applications. However, these types of devices suffer from different types of noise, which reduces the quality of the data and thus the reliability. Low data quality is a major barrier to computer-based diagnostics. Therefore, noise tolerance is essential in data collection and analysis based on wearable sensors. In this regard, in this study, two important issues in this area, namely the elimination of noise from received signals and the integration of a set of signals in order to improve decision making have been examined. The simulation results show that the proposed frameworks have a good performance in improving the accuracy and increasing the processing speed.
Chapter-1 Sequences and Infinite series

I take great pleasure in presenting this book of engineering mathematics to the students of Engineering colleges. It is prepared in accordance with the syllabus of Bachelor’s degrees in Engineering and polytechnic colleges. It has been prepared by keeping the modern method of education in mind as well as the aptitude and attitude of the students to participate in various competitive examinations. In this book, the concepts are explained in a lucid manner that makes the teaching and learning process more easy and effective. Each chapter has been prepared with strenuous efforts to present the principles of the subject in the easiest manner to understand and to work out the sum of each topic of the book.Similarly, each chapter has been started with an introduction, definitions, theorems, explanation and solved examples for the better understanding of concepts.I hope that this book serves the purpose of keeping in mind the changing needs of the society to make it lively and vibrating.
Privacy-Preserving Techniques for Machine Learning Applications in Supply Chains

Supply chains are vital to the global economy, and so, increasing efficiency in supply chain management is of utmost importance. Modernizing technology has allowed for various uses of machine learning to be possible in several aspects of supply chains, specifically in demand forecasting with prediction models, and customer relations with chat-bots. While this may be the case, many organizations are reluctant to implement such solutions due to potential threats to their privacy. In addition to this, some currently existing solutions do not take special care for privacy preservation. This brings the question of, How can privacy be preserved in machine learning based applications in supply chains? The results of this survey show that several approaches for privacy-preservation of machine learning applications exist, and can be applied to supply chains while maintaining increased efficiency in supply chain management.
스마트폰 사용시간과 스트레칭이 근경직도 및 집중력과 시력에 미치는 영향

Purpose: This study is an investigation of the effects of long-term smart phone usage and of stretching on muscle stiffness, concentration, and visual acuity. Methods: Forty healthy young adults voluntarily participated in the study and were measured for muscle stiffness, concentration, and visual acuity before smartphone usage and after 30 minutes, 60 minutes, and 90 minutes of smartphone usage. The participants were randomly allocated to the intervention group (n=20) and the control group (n=20). Five minutes after the stretching exercise and eye exercise intervention, the participants were remeasured. Results: After long-term smartphone usage, increases in muscle stiffness and concentration were statistically significant (p<0.05), whereas decreases in visual acuity were statistically significant (p<0.05). After the stretching exercise and eye exercise intervention, muscle stiffness significantly decreased (p<0.05) and visual acuity significantly increased (p<0.05). Concentration, according to the stretching exercise and eye exercise intervention, showed no significant pre- or post-test difference. Conclusion: The results from this study indicate that long-term smartphone usage effectively improved concentration but increased muscle stiffness and decreased visual acuity. Appropriate stretching and eye movement during long-term smartphones usage should mitigate the effects on muscle stiffness and visual acuity. Furthermore, smartphones should be considered an effective tool for concentration training when coupled with the development of appropriate applications.
Physics in Everyday Life and in Technology

In this article we have a tendency to giving some concepts some samples of however Physics extends well into our standard of living, describing the motion, forces and energy of standard expertise. Besides giving some samples of physics in our standard of living we have a tendency to additionally make a case for that however physics and engineering are connected and also shed lightweight on a number of the technical applications of physics.
Mercado de trabalho dos bibliotecários, arquivistas e museólogos:

This article sought to analyze the labor market of librarians, archivists and museologists, assuming that statistics are fundamental for decision-making in the context of public policies in general. In this sense, the study defends the superiority of labor market analysis methods based on official statistics, including both the Annual Social Information Ratio (RAIS) and the General Register of Employees and Unemployed (CAGED), which was used as an empirical basis for the analysis of the labor market of these professionals of culture and information. From the methodological point of view, we opted for a quantitative approach focused on the aspect of employment movement. Regarding the librarians, it was noticed that there was a worsening in employment conditions, especially after labor reforms that, unlike the proposed discourse, did not generate more hiring for the category. Likewise, archivists had a significant number of layoffs. The museologists, in turn, even with a positive balance in the last year of analysis, had greater hiring in outsourced jobs. As a final consideration, this study is expected to assist in making decisions about the formation of these professions with a view to effectively reducing inequalities in access to culture, quality information and art in society.
A new catalogue of historical Korean auroral records during 1012-1811

Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Journal of Geophysical Research - Space Physics. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]A new catalogue of historical Korean auroral records during 1012-1811Authors Yuqi Wang Si Chen Kaihua Xu Limei Yan Xinan Yue iD Fei He iD Yong Wei See all authors Yuqi WangInstitute of Geology and Geophysics, Chinese Academy of Sciencesview email addressThe email was not providedcopy email addressSi ChenInstitute of Geology and Geophysics, Chinese Academy of Sciencesview email addressThe email was not providedcopy email addressKaihua XuInstitute of Geology and Geophysics, Chinese Academy of Sciencesview email addressThe email was not providedcopy email addressLimei YanInstitute of Geology and Geophysics, Chinese Academy of Sciencesview email addressThe email was not providedcopy email addressXinan YueiDInstitute of Geology and Geophysics, Chinese Academy of SciencesiDhttps://orcid.org/0000-0003-3379-9392view email addressThe email was not providedcopy email addressFei HeiDCorresponding Author• Submitting AuthorInstitute of Geology and Geophysics, Chinese Academy of SciencesiDhttps://orcid.org/0000-0003-0542-2686view email addressThe email was not providedcopy email addressYong WeiInstitute of Geology and Geophysics, Chinese Academy of Sciencesview email addressThe email was not providedcopy email address