Reviewerly/exHarmony huggingface dataset:
Blockchain, Tokenization, and Implications for Financial Services Practitioners

Blockchain technology represents perhaps the most powerful and transformative technology to enter the financial services landscape in the last several decades according to both practitioner commentary and academic research. While much has been written and analyzed about blockchain terminology and definitions, however, more recent applications and developments potentially hold more both challenges and opportunities for the financial services industry. This research examines the area of tokens, tokenization of physical assets, and the implications this continued shift and development has for both practitioners and academics. Lastly, and after examining implications of blockchain in general for the profession, key questions and considerations are presented for practitioner consideration moving forward. Written with both practitioners and academics in mind, this research covers emerging topics of concern, and recommends possible steps toward resolving several outstanding questions in the blockchain space.
Natural Automatic Musical Note Player using Time-Frequency Analysis on Human Play

This research aims to develop an automatic gamelan musical note player that can naturally play musical note as human does. A musician estimates time to hit an instrument button in an approximate time which is as close as to the target time. The tolerated time to play a note was identified based on the human play. A gamelan musician was selected to play five note sequences of songs, and the play was recorded to be analyzed. Execution time in hitting instrument buttons in human play was identified using time-frequency analysis and peak detection to define time range which can be tolerated as time value that not too fast or not too late in hitting buttons, and then the result of the analysis was used as parameters to randomize approximate time to play a note. The evaluation shows that the program played all note sequences in the approximate time as human does and the program played more natural and better than another program which played a note as exact as its time target.
Guillou-quisquater protocol for user authentication based on zero knowledge proof

Authentication is the act of confirming the validity of someone’s personal data. In the traditional authentication system, username and password are sent to the server for verification. However, this scheme is not secure, because the password can be sniffed. In addition, the server will keep the user’s password for the authentication. This makes the system vulnerable when the database server is hacked. Zero knowledge authentication allows server to authenticate user without knowing the user’s password. In this research, this scheme was implemented with Guillou-Quisquater protocol. Two login mechanisms were used: file-based certificate with key and local storage. Testing phase was carried out based on the Open Web Application Security Project (OWASP) penetration testing scheme. Furthermore, penetration testing was also performed by an expert based on Acunetix report. Three potential vulnerabilities were found and risk estimation was calculated. According to OWASP risk rating, these vulnerabilities were at the medium level.
Higher-Order Distributions for Differential Linear Logic

Linear Logic was introduced as the computational counterpart of the algebraic notion of linearity. Differential Linear Logic refines Linear Logic with a proof-theoretical interpretation of the geometrical process of differentiation. In this article, we construct a polarized model of Differential Linear Logic satisfying computational constraints such as an interpretation for higher-order functions, as well as constraints inherited from physics such as a continuous interpretation for spaces. This extends what was done previously by Kerjean for first order Differential Linear Logic without promotion. Concretely, we follow the previous idea of interpreting the exponential of Differential Linear Logic as a space of higher-order distributions with compact-support, which is constructed as an inductive limit of spaces of distributions on Euclidean spaces. We prove that this exponential is endowed with a co-monadic like structure, with the notable exception that it is functorial only on isomorphisms. Interestingly, as previously argued by Ehrhard, this still allows the interpretation of differential linear logic without promotion.
Theoretical and Pragmatic Cases of a Rich-Variant Approach for a User-Aware Multi-Tenant SaaS Applications

Software as a Service cloud computing model favorites the Multi-Tenancy as a key factor to exploit economies of scale. However Multi-Tenancy present several disadvantages. Therein, our approach comes to optimize instances assigned to multi-tenants with a solution using rich-variant components while ensuring more economies of scale and avoiding tenants hesitation to share resources. The paper present the theoretical and pragmatic cases of a user-aware multi-tenancy SaaS approach focused on graph-based algorithms. The theoretical case consists in having a set of tenants while the pragmatic case consists in adding a new tenants to a set of tenants.
Eureka! A Simple Solution to the Complex ‘Tip-of-the-Tongue’-Problem

Dictionaries are repositories of knowledgeKnowledge concerning words. While readers are mostly concerned with meanings, writers are generally more concerned with word forms (lemmaLemma ) expressing meanings. I will focus here on this latter task: building a tool to help authors to find the wordWord they are looking for, wordWord they may know but whose form is eluding them. Put differently, my goalGoal is to build a resource helping authors to overcome the Tip-of-the-Tongue problem (ToT)Tip-of-the-Tongue problem (ToT) . Obviously, in order to access a word, it must be stored somewhere (brainBrain , resource). Yet this is far from sufficient. Access may depend on many other factors than storage of wordWord forms: organizationOrganization of the dictionaryDictionary (indexIndex ), the user’s cognitive stateState , i.e. available knowledgeKnowledge at the onset of searchSearch , the distance between the source- and the target-wordWord (direct neighbor or not) Neighbor network , the knowledgeKnowledge of the relationship between the two, etc. I will try to provide evidence for the claim that (word) storage does not guarantee access. To this end I will compare a well-known lexical resource, WordNet (WN), to an equivalent one, but bootstrapped from Wikipedia (WiPe). While both versions contain basically the same set of words, the latter contains many more (syntagmatic) links than WN. This is probably the reason why WiPe outperforms WN. In the last two sections I will explain under what conditions WN is suitable for word accessWord access , and what it might take to go beyond the limitations of this famous resource.
Aspect Ranking Technique for Efficient Opinion Mining using Sentiment Analysis : Review

Opinion mining, also called sentiment analysis, is the field of study that analyses people’s opinions, sentiments, evaluations, appraisals, attitudes, and emotions towards entities such as products, services, organizations, individuals, issues, events, topics, and their attributes. Even though facts still play a very important role when information is sought on a topic, opinions have become increasingly important as well. Opinions expressed in blogs and social networks are playing an important role influencing everything from the products people buy to the presidential candidate they support. Thus, there is a need for a new type of search engine which will not only retrieve facts, but will also enable the retrieval of opinions. Such a search engine can be used in a number of diverse applications like product reviews to aggregating opinions on a political candidate or issue. This paper consist review works have been designed for opinion mining by using classification and ranking techniques.
Correction to: An end-to-end differential network learning method for semantic segmentation

The original article can be found online.
A Collaborative Human-Robot Framework for Visual Topological Mapping of Coral Reefs

One of the most important tasks when creating a map of visual information obtained from different agents is finding common locations between the sets of images that enable them to be fused into a single representation. Typical approaches focus on images obtained from the same agent. However, in this paper, we focus on recognizing the same places in images captured by different agents to create a topological map of coral reefs. The main components of the proposed method are the voting scheme to find a sparse similarity matrix between different frames and an effective method to match sequences of images exploiting the sparsity of the resulting similarity matrix. We have applied our method to sequences of images obtained from coral reef explorations performed by different agents. The presented method shows a good performance compared to other well-established methods such as FABMAP. This demonstrates its ability to find common locations from visual information gathered from different sources, which eases the collaboration between humans and robots to map the environment.
Cluster-based water level patterns detection

Indonesian Disaster Data and Information in 2016 showed that flood has reached a soaring 32.2% overall. In one of the common flood region (2016), Tangerang, the flood had impacted 30,949, and destroys more than 400 residentials. In spite of this dreadful fact, Tangerang has no systematically ways of detecting the flood patterns. Therefore, there is urgency for a system that is able to detect potential flood risks in Tangerang. This study explores a mean to systematically find flood patterns in Tangerang and attempt to visualize the risks based on 11 years of data on four major river stations within Tangerang vicinity. All the data obtained from Ciliwung Cisadane River Basin Center (BBWS) between 2009 until 2017 with total data of 368,184 rows. This study proposes an interactive dashboard based on the water level data covering rivers of Angke, Pesanggrahan, and Cisadane. Three clustering methods are implemented, the K-Medoids, DBScan, and x-means, to segregate the water level data, taken from four stations obtained from Ciliwung Cisadane River Basin Center (BBWS), into meaningfull periodic flood patterns. The output of this research is an interactive dashboard created based on the newly found patterns. The dashboard is designed to be simple and easy to use for non-technical persons. We believe that the output of this research could be implemented into the decision-making process taken by the Ciliwung Cisadane River Basin Center (BBWS) in order to improve countermeasure attempts on the potentially flooded areas.
Whither the Price of Bitcoin?

W hat are the long-run prospects of Bitcoin as an investment?The bullish case is that Bitcoin will appreciate indefinitely due to its capped supply and an ever-growing demand.The bearish case is that Bitcoin's price will fall to zero, as it's an intrinsically worthless asset.We think the future price path is more likely to remain bounded between these two extremes.Consider first the bullish case for Bitcoin.We think this idea is too optimistic even if one grants that its supply is fixed and its demand is likely to grow. 1 The U.S. dollar price of Bitcoin will also depend on how its exchange rate relative to other cryptocurrencies evolves over time in the face of an ever-expanding supply of alternative cryptocurrencies, which we refer to as Altcoin. 2 The bullish case assumes that the nominal exchange rate between Bitcoin vis-à-vis other cryptocurrencies will adjust in proportion to their relative supplies.That is, Bitcoin is expected to appreciate relative to its competitors or, equivalently, its market-capitalization share will stay constant over time.But must this necessarily be the case?Consider the following thought experiment.
How Soar Agent Learns: Episodic Memory

The main objective of this paper is to make the agent learn from its experiences in order to improve its intelligence.Learning is performed with the help of episodic memory which store the previous experiences in the form of episodes in order to solve the problem.With the help of the implementation in soar of an example, this paper presents the improvement in intelligence.In this paper episodes (previous experiences) which are in the form of WME (working memory elements) work to improve the intelligence.Objective of this paper is to show that learning always improves performance i.e. as agent learns more, the performance will improve.
Effects of Indistinguishability in a System of Three Identical Qubits

Quantum correlations of identical particles are important for quantum-enhanced technologies. The recently introduced non-standard approach to treat identical particles is here exploited to show the effect of particle indistinguishability on the characterization of entanglement of three identical qubits. We show that, by spatially localized measurements in separated regions, three independently-prepared separated qubits in a pure elementary state behave as distinguishable ones, as expected. On the other hand, delocalized measurements make it emerge a measurement-induced entanglement. We then find that three independently-prepared boson qubits under complete spatial overlap exhibit genuine three-partite entanglement. These results evidence the effect of spatial overlap on identical particle entanglement and show that the latter depends on both the quantum state and the type of measurement.
IMPLEMENTASI METODE AMTSILATI DALAM MEMBACA KITAB KUNING DI PONDOK PESANTREN HIDAYATUL MUBTADIIN DEMAK

The method of amtsilati is a method or tool used in reading and understanding the yellow book, where the book is a programmed and systematic book as well as a new breakthrough in facilitating reading the yellow book. The purpose of this study is to describe the application of amtsilati method in reading the yellow book, advantages and disadvantages in using the method of amtsilati in Pondok Pesantren Hidayatul Mubtadiin Demak. This type of research uses descriptive qualitative research type with case study research method. The results showed that the method of amtsilati is a new method of breakthrough to facilitate reading the yellow book. The advantages of the amtsilati method of the book of amtsilati is a programmed and printed lesson with a systematic arrangement.
Knowledge Management for Collection Development: Transforming Institutional Knowledge into Tools for Selectors

In an organization with a decentralized collection development structure, it can be difficult for selectors to find correct and detailed information at the point of need when engaging in collection development. Institutional knowledge is not always easily shared with others due to the lack of an effective conduit. Simply knowing what is happening and what has happened with purchases, licensing, vendor negotiations, budget planning, and policy creation can be a challenge for those who have not been directly involved. This presentation detailed the speaker’s experience in a new collections role at Penn State University Libraries, where she methodically gathered the information that exists on shared drives, in file cabinets, in dark corners of the intranet, and in the brains of faculty and staff that have worked at the library for many years, and then made it available to selectors in a meaningful way. The presentation discussed projects such as compiling information about annual e-book packages and e-journal backfiles, as well as Penn State University Libraries’ management of theses and dissertations. How those projects were identified and prioritized, as well as the process for compiling that information and making it available, was also discussed.
A Thematic Review of Tablet-Based Science Education Studies

The use of tablet in schools has been getting importance in a parallel with any change in educational policies. It can be said that the use of tablets was investigated on the variables such as success and attitude in the literature and the number of studies increased related to the applications that can be used in tablets. In this context, it was considered that analyzing the studies conducted in the field of science education, which was one of the courses where tablet use was recommended, will be important for both teacher - prospective teacher candidates who were practitioner and literature. The aim of this study was to thematically examine and analyze tablet-based science education studies. 25 articles were exposed to this thematic review via the matrix developed by Ormanci et al. (2015). The matrix consists of two parts-general properties (type of journals, years, etc.) and content (rationales, aims, research methods, etc.). The results indicated rationales of related studies were very limited. Further, there were experimental studiesexamining the effects of tablet-based science education on student success and performance. None of previous studies examined the effects of tablet-based science education on the participants’ skills, which should be investigated in future studies.
Online Learning Development of Interactive Multimedia based Geographic Information Systems

The learning paradigm at this time has changed from teachercentered learning to student-centered learning.In this digital era, all data and information are spread in all parts of the world, so that everyone can easily access all the desired information.All information is very much in the virtual world so information filters are needed to get useful and positive information.At this time learning is very likely to do online / cyberspace / internet using online learning applications.Many factors of online learning development are students / students spread so that the constraints in time and resources in traveling, students / students have a busy work, students / students have difficulty in communication in real time, students / students have limitations / constraints when participate in face-to-face classes.Based on these factors, it is necessary to have online learning facilities in interactive multimedia-based learning, especially learning Geographic Information Systems, which most students / students are very difficult to get the subject matter.This application is able to bridge between students and educators that are not limited to space and time.This study consists of learning modules of Geographic Information Systems which are combined in the application of online learning using interactive multimedia.This application is also able to facilitate online learning that can be accessed at any time as long as it is connected to the internet.The LMS (Learning Management System) built for online learning of STIKOM Bali students using moodle collaborated with Adobe software captivate multimedia.
From the President of RUSA: Everyday Decisions

RUSA, as defined by its vision, “is an influential and authoritative organization, essential to the work of anyone engaged in the practices of connecting people to resources, information services, and collections.” Since our vision was adopted in 2015 our world and that of libraries has definitively changed. We are fighting fake news, administering Narcan to overdosed patrons, and partnering with social services. This summer RUSA adopted a statement of equity, diversity, and inclusion. Libraries can no longer choose not to see the inequities that broader structural systems perpetuate.Often I hear, “What can I do? I’m just a librarian. I’m not the manager, the director, or a supervisor.” But there are other things you can do to lead from where you are through everyday decisions. Decisions made with awareness will help each of us become more savvy allies and advocates. We need to do this work so libraries can remain a trusted space. Here are a few ways you can get started.
The comparisons between the preconditioned conjugate-gradient method and the Fourier transform method in lateral shearing interferometry

The wavefront reconstruction of the preconditioned conjugate-gradient method and the Fourier transform method in the lateral shearing interferometry are discussed for their feasibility and accuracy in this paper. The numerical simulation study on the accuracy of both the wavefront reconstruction method under ideal situation and under the simulated noisy situation is also introduced. Simulation experiments show that the preconditioned conjugate-gradient method has better anti-noise performance, and provides higher precision for discontinuous phase wavefront reconstruction. The two-grating lateral shearing interference experiment is carried out to verify the simulated results based on both the preconditioned conjugate-gradient method and the Fourier transform method.
Stilt: Easy Emulation of Time Series AR(1) Computer Model Output in Multidimensional Parameter Space

Statistically approximating or "emulating" time series model output in parameter space is a common problem in climate science and other fields.There are many packages for spatio-temporal modeling.However, they often lack focus on time series, and exhibit statistical complexity.Here, we present the R package stilt designed for simplified AR(1) time series Gaussian process emulation, and provide examples relevant to climate modelling.Notably absent is Markov chain Monte Carlo estimation -a challenging concept to many scientists.We keep the number of user choices to a minimum.Hence, the package can be useful pedagogically, while still applicable to real life emulation problems.We provide functions for emulator cross-validation, empirical coverage, prediction, as well as response surface plotting.While the examples focus on climate model emulation, the emulator is general and can be also used for kriging spatio-temporal data.
Application of Visual Programming in Program Design Course

According to the problems in teaching of computer programming course, brought visual programming tools to assist teaching, introduced the advantages of visual programming, and made use of it in algorithm design, coding and modular design. Practice shows that by introducing of visual programming, it helps the students to improve their interesting, and develop the ability of logic thinking as well as programming.
EXPLORING LOW AND HIGH STUDENTS� PERCEPTION ON ENGAGING E-DICTIONARY IN MASTERING VOCABULARY: CROSS-SECTIONAL SURVEY

This paper is a survey study that aims at investigating low and high achievement students� perception on engaging electronic dictionary in enhancing their vocabulary mastery. There were 30 students involved in this study consisting of 16 students as the high achievement students and 14 students as the low achievement students. They were considered as high and low students based on the result of their last examination score. Questionnaire and interview were used to collect the data. The results of the study showed that low achievement students have positive perception on the use of electronic dictionary especially Google Translate. Most of them agreed that the use of Google Translate helped them in improving their English vocabulary mastery because Google Translate is easy to use and fast in translating meaning of words. Moreover, most �of the high achievement students also have positive perception on the use of Google Translate because it is easy to use and free, it can be accessed by using their smartphones. Nevertheless, the problems also found in the use of electronic dictionary especially Google Translate, including bad internet connection which affected the performance of Google Translate. It can be conluded that there are almost similar perception between low and high achievement students on the use of electronic dictionary especially Google Translate.Keywords: electronic dictionary; google translate; low and high achievement students; perception; vocabulary mastery.