Reviewerly/exHarmony huggingface dataset:
The contributions of smartphone applications in supporting junior high school students’ learning activities

In the last few decades, the development of mobile phone is rapidly growing and brings many changes in human life. Mobile phones nowadays extend their capabilities into all aspects in human life, including teaching and learning process. Therefore, this research aims at knowing what smartphone applications are frequently used by the students and investigating the contributions of those applications in students’ learning activities. This research uses a qualitative case study in order to obtain a deep analysis. The subjects of this research are twenty students of junior high school in Kebumen who are chosen based on some criteria. Additionally, the data of this research were obtained using questionnaire and interview. Based on the finding, the smartphone applications which are most frequently used by the students to support their learning activities are social media (Instagram, Facebook, and Twitter), Google chrome, music player, offline dictionary, YouTube, and English exercise application from play store. Last but not least, all the students agree that smartphone applications give positive contributions to their learning process. The contributions of those applications in the students’ learning activities are helping the students in finding more sources of authentic English materials; finding more exercise in grammar, reading, listening, speaking, and writing skills; improving students’ vocabulary, grammar, listening, and speaking skill.
SISTEM PEMILIHAN SUARA ONLINE SEDERHANA

This article aims to discuss the performance of the APSON prototype (Aplikasi Pemilihan Suara Online) against the democratic needs of users who need it. The subject of this research is the Student Association of Civil Engineering from Universitas Internasional Batam. The obtained data has derived from various forms of literacy, either physical or online, which has been carefully filtered and reviewed by writers. This research has applied science and technology methods as the method to solve the problem, which also assisted by quantitative data collection techniques, namely documentation techniques, interviews, and online questionnaires. The analysis of this research has given a result as the prototype`s performance is proven to be effective in channeling user`s aspirations without fear of being affected by the risk of COVID-19 pandemic. This decent performance has compiled with various systems, namely the front end(consisting of HTML, Javascript, and CSS) and the back end(consisting of MySQL and PHP). Nevertheless, APSON is still on website-based and in development.
Constructing Compression Functions

We have seen that cryptographic hash functions that can process arbitrarily long inputs can be built from fixed-input-length compression functions via the Merkle–Damgård transformation (Chapter 13).
Constructing Multiple High-Quality Deep Neural Networks: A TRUST-TECH Based Approach

The success of deep neural networks relied heavily on efficient stochastic gradient descent-like training methods. However, these methods are sensitive to initialization and hyper-parameters. In this paper, a systematical method for finding multiple high-quality local optimal deep neural networks from a single training session, using the TRUST-TECH (TRansformation Under Stability-reTaining Equilibria Characterization) method, is introduced. To realize effective TRUST-TECH searches to train deep neural networks on large datasets, a dynamic search paths (DSP) method is proposed to provide an improved search guidance in TRUST-TECH method. The proposed DSP-TT method is implemented such that the computation graph remains constant during the search process, with only minor GPU memory overhead and requires just one training session to obtain multiple local optimal solutions (LOS). To take advantage of these LOSs, we also propose an improved ensemble method. Experiments on image classification datasets show that our method improves the testing performance by a substantial margin. Specifically, our fully-trained DSP-TT ResNet ensmeble improves the SGD baseline by 20\% (CIFAR10) and 15\%(CIFAR100). Furthermore, our method shows several advantages over other ensembling methods.
Comparative Analysis of Keyword and Semantically Enhanced Question Answering System on Law Domain

As compared with the traditional approach to a search based on keyword, semantic analysis and semantic based search are advanced techniques which understands the linguistic of the search query & makes it accurate intelligent search engine for any domain.We have developed a Question Answering system that considers the semantic information of question inputted and answer retrieved focussing on retrieval of information which is context based.The question answering system is based on syntactical & semantical analysis by creating the semantic graph and defining the semantic relationship between semantic entities.We have designed closed domain question answering system on law documents dataset which answers the queries related to law domain.We tested the queries using keywords matching approach and compares it with by considering the semantic involved in the query, & we found that the semantic based approach produces the result with high accuracy than keyword-based approach, because it considers the Conceptualization and user intents involves in the user's query.
An Interview with Dr. Thorsten Joachims, Winner of ACM SIGKDD 2020 Innovation Award

Thorsten Joachims, Ph.D. is the recipient of the 2020 ACM SIGKDD Innovation Award, the highest honor for technical excellence in the field of knowledge discovery and data mining. The Innovation Award is conferred annually on an individual or group of collaborators whose outstanding technical innovations have greatly influenced the direction of research and development in the field.
Bevisvärdering av motstridig sakkunnigbevisning i ljuset av robusthetskravet

The thesis’ purpose is to examine how a court of law can evaluate expert testimony when both the prosecutor and the defense have called experts who give contrary statements. The examined evidence evaluation is thereafter analyzed with regards to the notion of robustness in evidence. Robustness is a way of measuring the probability that additional evidence will alter the probability based on the existing evidence that the defendant is guilty of a particular crime.The descriptive section gives an account of principles and statutes of evidence law and will lay the basis for a case study. The prosecution in the case was an exceptionally gross assault of an infant child and both parties obtained expert testimony that was contrary to the other. The evidence evaluation of the expert testimony is analyzed by dividing the assessment in ad hominem-review and de re-review. Which factors that are taken into consideration by the court are investigated in the accordance of said division. The outcome of the evidence evaluation is discussed in the light of the notion of robustness and whether the robustness should include a hypothetical risk or merely a factual risk. The conclusion of the thesis is that in the assessment of expert testimony the court mainly considers ad hominem-factors and with regards to the notion of robustness the court seemingly does not acknowledge hypothetical risk.
Libra: A Concentrate of "Blockchain Antitrust"

Mark Zuckerberg introduced Libra to the world in June 2019 with the goal of “enabl[ing] a simple global currency and financial infrastructure that empowers billions of people.” Two months after, and without waiting for the project to be launched, the European Commission sent a questionnaire to various parties connected to Libra in order to investigate “potential anti-competitive behaviors.” The U.S. House of Representatives also conducted a series of hearings at the end of October 2019 questioning the intentions behind Libra.Against this background, Part I of this Essay analyzes the type of governance that Libra is aiming for, as it indicates the nature and frequency of certain anti-competitive risks. Part II offers an assessment of the anti-competitive collusion and monopolization that Libra governance might yield. The discussion concludes by assessing the desirability of the adversarial approach adopted by antitrust agencies and governments thus far.
An Interview with Dr. Michael Zeller, Winner of ACM SIGKDD 2020 Service Award

Michael Zeller, Ph.D. is the recipient of the 2020 ACM SIGKDD Service Award, which is the highest service award in the field of knowledge discovery and data mining. Conferred annually on one individual or group in recognition of outstanding professional services and contributions to the field of knowledge discovery and data mining, Dr. Zeller was honored for his years of service and many accomplishments as the secretary and treasurer for ACM SIGKDD, the organizing body of the annual KDD conference. Zeller is also head of AI strategy and solutions at Temasek, a global investment company seeking to make a difference always with tomorrow in mind. He sat down with SIGKDD Explorations to discuss how he first got involved in the KDD conference in 1999, what he learned from the first-ever virtual conference, his work at Temasek, and what excites him about the future of machine learning, data science and artificial intelligence.
Development of Technology for Electrical Monitoring of Geological Environment

Summary A remote version of the stationary electrical monitoring method is considered, it is implemented using the developed hardware-software complex AMS-ZOND with a SOMGZ-48 commutator and interpretation software, which automatically obtains information on the physical state of the studied geological environment with a specified time interval between measurements at a considerable distance from the studied object.
Analysis of Human Computer Interaction (HCI) Model in SMEs

In Small and Medium-sized Enterprises (SMEs), Human-Computer Interaction (HCI) is considered as a cross-disciplinary segment applied in ergonomics, psychology and the engineering departments. HCI deals with the evaluation, implementation, designing and theoretical evaluation of means in which humans utilize and relate with computing applications. The term ‘Interaction’ is differentiated from other terminologies in the same application interface. The term refers to the abstract system which allows humans to interact with devices of computing for a particular industrial task. An application interface in this case applies to the selection of the technical (software and hardware) realization of a specified interaction system. Because of extensive research to incorporate diversified HCI into an understandable model, this paper evaluates HCI model in SMEs to provide the projected guidance to designers of the system using Information Technology (IT). The choice of a good model provides the recommendable direction for presentation languages e.g., Task Action Grammar (TAG) and the design actions determine the feel and look of the system. In this contribution, critical design projects in every discipline are identified alongside the present study trends and future research directions.
LibGuides: Information Literacy of College-Bound Young Adults: Home

This LibGuide is intended to showcase the information literacy skills that college-bound young adults may already have and potentially still need to learn before entering college.
Q-Learning Fuzzy PID Controller Design for Motor Control

In this paper, a fuzzy PID control method based on Q-learning is proposed to control the motor so that it can adapt to different environments and meet the expectations of the request. There are two main parts: (1) a fuzzy control method is proposed to adjust the parameters KP, KI, and KD of the PID controller and (2) a Q-learning algorithm is proposed to learn the fuzzy rule base and the membership functions of the fuzzy variable. The fuzzy method is proposed to modify the parameters KP, KI, and KD of the PID controller, where the KP, KI, and KD of the PID controller will be automatically adjusted according to environmental changes or external disturbance. The Q-learning algorithm is proposed to learn the fuzzy rule base and the membership functions of the fuzzy variables. The Q-learning algorithm lets the fuzzy rule base and the membership functions of the fuzzy variable that originally relied on the expert rule can be obtained through repeated learning. A sliding mode is added in the Q-learning algorithm and fuzzy control to reduce the number of system parameters required in the learning process to improve the learning efficiency. The learning process is to learn membership functions of the fuzzy variables with the initial fuzzy rule base and the initial membership functions of the fuzzy variable, and then learn a new fuzzy rule base with the initial fuzzy rule base and the new membership functions of the fuzzy variable. Some experimental results of the voice coil motor, brushed DC motor, and Brushless DC motor are presented to illustrate that the proposed method can indeed effectively control these three motors.
Welfare and Political Economy Aspects of a Central Bank Digital Currency

The point of departure of this paper is that, in order to preserve the effectiveness of monetary policy in a world increasingly flooded by private digital currencies, central banks will eventually have to issue their own digital currencies. Although a non-negligible number of central banks (CBs) are actively considering the pros and cons of a central bank digital currency (CBDC) there is yet no CB that has issued such a currency on a full scale. Following a brief survey of current CBs positions on the issuance of a CBDC the paper presents two proposals for the implementation of such a currency: A moderate proposal in which only the banking sector continues to have access to deposits at the CB and a radical one in which the entire private sector is allowed to hold digital currency deposits at the CB. The paper compares and contrasts the implications of those two polar paths to a CBDC for the funding of banks, the allocation of credit to the economy and their implications for welfare as well as for political feasibility. One section of the paper shows that the radical implementation may pave the way toward a narrow banking system and dramatically reduce the need for deposit insurance in the long run. The paper evaluates the relative merits of issuing a currency on a blockchain using a permissionless distributed ledger technology in comparison to a centralized (permissioned) blockchain ledger operated by the CB and concludes that the latter dominates the former in more than one dimension. But it does acknowledge that distributed ledger technologies have many actual and potential cost savings benefits in other segments of the financial and real sectors.
Analisis Forecasting dengan Implementasi Dashboard Business Intelligence Untuk Data Penjualan Pada PT. “X”

Forecasting is one method used for doing business analytics. PT. “X” is a company that currently have more than a thousand sales data that needs to do the forecasting analytics to predicts their sales and doing decision making in the future. The forecasting analysis will use single moving average and single exponential smoothing method so the analysis result can be compared using mean absolute deviation to find out which method is more accurate. The best forecasting result will be implemented as visualization report in business intelligence dashboard so that it can help companies in carrying out strategies in the future.
Application of Virtual Instrument Technology in Electronic Course Teaching

With the continuous progress of modern information technology and continuous reform of teaching methods, practice has become an important part of students’ in-depth understanding of theoretical knowledge. Experience has become an indispensable part of teaching and the most effective way to improve students’ creativity and practical ability. In order to improve experimental conditions and reform experimental teaching methods, this article is studying the application of virtual instrument technology in electronic course teaching. Increase students’ interest in experiments and improve teaching quality.
Improving the Students’ Speaking Skill through Problem Based Learning at the VIII Grade of junior High School

This research aimed to improved the students’ speaking skill in Englishesson by using Problem Based Leaning method. This research was conducted byusing Classroom Action Research (CAR). The subject of this research was VIII-Agrade of MTs Zia Salsabila Bandar Setia 2019/2020 academic year whichconsisted of 31 students. The objective of this research was to improve students’speaking skill in English Lesson by using Problem Based Learning method atEight Grade of MTs Zia Salsabila Bandar Setia. This research was conducted intwo cycles which each consists’ of planning, acting, observing, and reflecting.The data were gathered through quantitative and qualitative data. The result ofthis research showed that there was increasing of students in speaking skill. Themean of pre-test was 59.6. The mean of post-test I was 70.5. The mean of post-test II was 80.2. It indicated that the scores and the mean in second cycle werebetter than the first cycle. The percentage of students who got point >75 also grewup. In the pre-Test, the students who got point >75 up were 9 students (29.0%). Inthe post-test of cycle 1 students who got point >75 up were 17 students (54.8%).The post-test of cycle 2, students who got point >75 were 38 students (80.6%). Inother words, the students’ ability in speaking improved and became well in thefirst meeting to the next meeting.
AREIOM: adaptive research multicopter platform

Abstract The applications of unmanned aerial systems have dramatically increased in the late days, in particular within dull, dirty and dangerous missions, where it has been clearly shown that unmanned systems are better suited than manned aircrafts. The reduction of human involvements leads to an increasing demand for autonomous and operationally adaptive airborne systems. In addition, unmanned aerial systems share similar limitations with most computer embedded systems, e.g., limited space and power resources, and increasing computation requirements and complexity of the applications running onboard. To fulfill these requirements and achieve the fundamental features of autonomy and adaptability, the AREIOM—Adaptive Research Multicopter Platform—along with its layered modular architecture and the specific details of its underlying hardware and software components are presented.
Cryptosystem based on lattice and elliptic curve

In this work, we propose a new way to use lattice theory to build a public key cryptosystem and digital signature scheme. This cryptosystem based on the approximate closest vector problem and the problem of the discrete logarithm on an elliptic curve defined on a finite local ring. At first, we choose a point on the elliptic curve and we will make the exchange of keys to the Diffie-Hellman. We transform the coordinates of this point into a matrix which gives us the private key which will serve us for encryption and decryption.
Multi-Scaled Lineament Analysis for Fractured Geological Medium Fractal Properties Detection

Summary A.V. Masyukov and co-authors developed the algorithm for extraction (COG) and the ACS algorithm Synergetic singularities (SS) for enhancement of the lineament features on seismic data [Masjukov et. al, 2011]. Later, the authors proposed lineament image multi-scale analysis technology based on the TFD algorithm. Now we use this method for extraction of different lineament systems on the same image and for estimation of these systems properties correlations with respect to the scale factor (generalization level) as well. Extrapolation of these dependencies can reduce the informational vacuum about fractured medium characteristics at scales between seismic data and wells data. This, in turn, expands the capabilities of super-detailed modeling for fractured geological medium based on fractal structure natural evolution algorithms [Masjukov, Yurchenko, 2019]. The report shows numerous examples confirm the power laws of the fractured medium properties depending on the scale factor.
The social prestige of the professions of a documentalist and archivist in Russia

The work is devoted to the issue of the social prestige of the professions of a documentalist and archivist in Russia. The prestige of the professions is indicated by the data of scientific publications and examples taken from the works of fiction and art, which are also a reflection of the public perceptions of each historical stage. Professions are formed simultaneously with the de-velopment of public administration, and their prestige depended on the level of the hierarchy at which a particular position was located. One of the highest posts in the state service of the Russian Empire was the position of personal secretary. A prestigious service was considered to be in the Moscow Archive of the College of Foreign Affairs. In the 19th century the posts of secretary and state secretary were prestigious. In the first half of the 20th century, the replacement of old quali-fied personnel with ordinary workers takes place. In the second half of the 20th century we can talk about a certain rise in prestige by continuing to organize the scientific organization of labor, creating a powerful material, technical and legal basis that regulates records management and archiving. Currently, there are changes in the technology of working with documents related to digitalization, the emergence of new positions, the profession of documentalist is in demand and is more universal in comparison with the profession of archivist. On the basis of the analysis of the questionnaire of archivists, we identify the key factors of the prestige of the documentalist and archivist, among which the main ones are economic and social. A number of state-economic, vocational-educational and public measures are proposed to increase the prestige of professions.
Using Inkjet Printers for Acoustic Data Exfiltration from Air-Gapped Networks

Author(s): de Gortari Briseno, Julian | Advisor(s): Srivastava, Mani B. | Abstract: The ubiquity of printers in modern office spaces provides our motivation to design a covert channel based on the emanations of one particular class of these devices which uses inkjet technology. In this thesis, we demonstrate how a covert channel can be established by leveraging the acoustic emissions of inkjet printers to exfiltrate information from an air-gapped network. In essence, malware installed on a computer with access to a printer, but no access to the Internet, can inject certain imperceptible patterns into all documents being sent to the printer, so as to control the printing process in such a way that an acoustic signal is generated which can be captured with a nearby smartphone. Throughout this work, we demonstrate how people are unable to perceive these patterns under normal light conditions. Moreover, two distinct modulation schemes are proposed for our communication system and tests are carried out considering different types of document layouts, in distinct circumstances.
SPECIFICITY OF DESIGNING THE CATALOG OF THE ETHNOGRAPHIC COLLECTION OF THE MUSEUM AS AN OBJECT OF GRAPHIC DESIGN

The article discusses the design features of the ethnographic catalog on the example of the project of the multi-page publication «Nanai» Khabarovsk Museum of Local Lore named after N.I. Grodekova. The author defines the purpose and target audience of the museum catalog, describes the relationship between design and content - the interaction of elements of end-to-end design and spread, color, illustrations and typography with text, ways to solve the information and logistics catalog by visual means, traditions and current trends in the implementation of navigation through the publication.