Reviewerly/exHarmony huggingface dataset:
Implementasi E-Arsip Berdasarkan PersyaratanSistem Manajemen Rekod Di Dinas PerpustakaanDan Arsip Kabupaten Tangerang

The purpose of this study is to identify the suitability of E-Archiveimplementation based on the records management system requirements. Thisresearch method is a type of descriptive research with a qualitative researchapproach. Techniques used in the collection of data obtained through observation,interviews with 4 informants, literature, and documentation. Based on the resultsof this study it can be concluded that the Implementation of E-Archive RecordsManagement Automation System is sufficient to meet the requirements of a goodand correct record management automation system although there are still somerequirements that have not been fulfilled, namely in Access or tracing records onthe E-Archives, and integration requirements. The obstacles faced inimplementing this E-Archive are the internet network, data migration to the EArchivetakes a long time, there is no user for depo officers in the E-Archive,there is no place to store the scanned data so the computer decreases, there are nofeatures.
대학 도서관 학습공유 공간 구성에 관한 연구 - 국내·외 사례를 중심으로 -

Since the 1990s, information technology has developed with each passing day, knowledge update is changing rapidly, and information knowledge is readily available. The traditional library service mode of simple collection, borrowing and reading can no longer meet the diverse needs in the contemporary context. University libraries are forced to reconsider their own aims and tasks and reposition their position and role in the information age to make up for the defects of traditional services and functions. Therefore, how university libraries cope with the challenges of the times has become a topic of increasing concern. Under this background, a new type of learning and reading space was born in university libraries-learning and sharing space. Learning commons place more emphasis on the interaction between students, the main purpose of which is to provide a space for college students to learn, communicate, cooperate, research and obtain advice and guidance. Therefore, this study analyzes domestic and foreign cases according to the spatial rhythm framework of learning commons, summarizes the design methods of learning commons, and provides new enlightenment for the construction of learning commons in the future.
Social Analytics Through Spyral

In this paper we introduce Spyral, a notebook environment that works in tandem with Voyant Tools. Voyant Tools is an online digital text analysis environment. Spyral notebooks extend Voyant and allow users to create JavaScript online notebooks with both text and code cells. These notebooks are designed to allow for collaboration between scholars. We also discuss both the possibilities and some limitations of the notebook environment. We provide examples of both tutorial notebooks that can be used for pedagogical purposes as well as examples of Spyral notebooks used in collaborative analysis. Finally, we suggest potential areas for further development for Spyral.
LibGuides: Psychology: LHML Resources

Psychology is the scientific study of the human mind and its functions, especially those affecting human behaviors.
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes

Vast quantities of person-generated health data (wearables) are collected but the process of annotating to feed to machine learning models is impractical. This paper discusses ways in which self-supervised approaches that use contrastive losses, such as SimCLR and BYOL, previously applied to the vision domain, can be applied to high-dimensional health signals for downstream classification tasks of various diseases spanning sleep, heart, and metabolic conditions. To this end, we adapt the data augmentation step and the overall architecture to suit the temporal nature of the data (wearable traces) and evaluate on 5 downstream tasks by comparing other state-of-the-art methods including supervised learning and an adversarial unsupervised representation learning method. We show that SimCLR outperforms the adversarial method and a fully-supervised method in the majority of the downstream evaluation tasks, and that all self-supervised methods outperform the fully-supervised methods. This work provides a comprehensive benchmark for contrastive methods applied to the wearable time-series domain, showing the promise of task-agnostic representations for downstream clinical outcomes.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN MINI MARKET HUTASOIT BERBASIS WEB

Internet users in Indonesia experienced a significant increase, namely from the total Indonesian population in 2017 amounting to 262 Million People and Internet users 143.26 Million, while in 2018 there was an increase in population and Internet users, with a total population of 264,16 Million People and Internet users 171.17 million. The use of the internet to merchants has reached a maximum percentage of 100%, so it can be concluded to buy and sell in 2018 the population in Indonesia is more utilizing online information media. Web-based media is one of the technological solutions that can be implemented for the process of selling goods. With the existence of information technology, it can be developed in any field according to user needs. The information system developed is a web-assisted information system, android. In the study there are several stages that must be completed and these stages refer to existing theories in previous studies is to use the Waterfall method which consists of Analysis, Design, Coding, and Testing. SDLC is a stage in developing or editing a software system by implementing models and methods that people use in developing previous software based on best practice or well-tested ways. With opportunities like this, the internet can be used as a platform to build a system, specifically for the sales system at the Minimarket Hutasoit.
Data-driven Modeling of the Day-to-Day Variability of the Equatorial Electrojet Using Ground- and Space-based Magnetometer Data

Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing the latest version by default [v1]Data-driven Modeling of the Day-to-Day Variability of the Equatorial Electrojet Using Ground- and Space-based Magnetometer DataAuthorsChuan-PingLieniDTomokoMatsuoiDAstridMauteiDClaudiaStolleSee all authors Chuan-Ping LieniDCorresponding Author• Submitting AuthorAnn and H.J. Smead Aerospace Engineering Sciences, University of Colorado BoulderiDhttps://orcid.org/0000-0003-0826-3668view email addressThe email was not providedcopy email addressTomoko MatsuoiDAnn and H.J. Smead Aerospace Engineering Sciences, University of Colorado BoulderiDhttps://orcid.org/0000-0002-2754-1224view email addressThe email was not providedcopy email addressAstrid MauteiDNCAR/HAOiDhttps://orcid.org/0000-0003-3393-0987view email addressThe email was not providedcopy email addressClaudia StolleLeibniz Institute of Atmospheric Physics at the University of Rostockview email addressThe email was not providedcopy email address
Hate Speech by Twitter Netizens Against President Joko Widodo During the Covid-19 Pandemic (Forensic Linguistics Study)

Aliexpress platform provides various coupon code with multiple high-quality goods for different users. Have a great saving with suitable aliexpress discount promo code and you can learn to how to use aliexpress coupon in our help center. Various sellers also prepared kinds of coupon code like $5, $10, $15 off for different products.
ARZARA: Augmented reality app to try watch on your wrist

Whenever we visit a showroom to buy a watch, we are unable to try all color variants of watches due to unavailability and also if a watch is tried by too many customers it loses its shine and finishing. We tried to overcome this problem by our Augmented reality app called “Arzara”. This Augmented reality app lets customers see how a particular watch model looks on their hand without physically trying the watch. It will not only prevent degradation of polish of watches due to repeated wear by different customers at offline stores but also this new Augmented Reality watch app will make online watch shopping take off. It will make it easier for customers to make decisions and purchase watches.
Modeling Ephraim Chambers' Knowledge Structure from a Naïve Standpoint

In the preface to his Cyclopaedia published in 1728 Ephraim Chambers offers readers a systematized structure of his attempt to produce a universal repository of human knowledge. Divided into an interconnected taxonomic tree and domain vocabulary, this structure forms the basis of one effort from the Metadata Research Center to study historical ontologies. The knowledge structure is being encoded into a Simple Knowledge Organization System (SKOS) form as well as a Web Ontology Language (OWL) version. This paper explores the expressive and functional differences between these SKOS and OWL versions of Chambers’ knowledge structure. As part of this goal, the paper research focused on the construction and application of rules in each system to produce a more computationally ready representation of Chambers’ structure in SKOS, which is more thesaurus-like, and OWL, which represents additional ontological nuances. First, studying the various textual aspects at the semantic, syntactic, and typographic levels allowed for the relationships between terms to manifest from which rules governing expression of the connections between elements developed. Second, because each language, SKOS and OWL, functionally expresses different logical relationships, their possibilities and limitations offer a ground for further analyzing the resultant knowledge structures; although, each stemmed from the same basic source of Chambers’ text. Lastly this paper will examine rule making and expression in light of Paul Grice’s theory of conversational implicature to understand how a naïve agent formulates and applies these rules to a knowledge structure.
Aligning Actions Across Recipe Graphs

Recipe texts are an idiosyncratic form of instructional language that pose unique challenges for automatic understanding. One challenge is that a cooking step in one recipe can be explained in another recipe in different words, at a different level of abstraction, or not at all. Previous work has annotated correspondences between recipe instructions at the sentence level, often glossing over important correspondences between cooking steps across recipes. We present a novel and fully-parsed English recipe corpus, ARA (Aligned Recipe Actions), which annotates correspondences between individual actions across similar recipes with the goal of capturing information implicit for accurate recipe understanding. We represent this information in the form of recipe graphs, and we train a neural model for predicting correspondences on ARA. We find that substantial gains in accuracy can be obtained by taking fine-grained structural information about the recipes into account.
Technology and Innovation Special Edition: Ethics: Legal ethics and AI

Legal ethics will continue to be challenged by the rapid advance of artificial intelligence. Moral judgment will always be needed by lawyers when faced with questions about ethical obligations in p...
A Study on the Educational Issues of Elective Subjects Recognized by High School Teachers

The purpose of this article is to investigate the overall status of various issues related to the management of elective courses in Korean high schools. To this end, the study surveyed 7,338 teachers. Survey questions included the following items according to the CIPP model: Elective planning, elective management, elective impact and effectiveness, curriculum options, subject selection based on student career perception, teacher competency. As a result of this study, teachers responded that school electives were being operated properly. In particular, the teacher recognized that the process-oriented evaluation was being performed properly. On the other hand, the degree of satisfaction related to the environment for the operation of elective courses was relatively low. Based on these results, this study presented a proposal to properly manage the elective curriculum.
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias

Structured non-convex learning problems, for which critical points have favorable statistical properties, arise frequently in statistical machine learning. Algorithmic convergence and statistical estimation rates are well-understood for such problems. However, quantifying the uncertainty associated with the underlying training algorithm is not well-studied in the non-convex setting. In order to address this shortcoming, in this work, we establish an asymptotic normality result for the constant step size stochastic gradient descent (SGD) algorithm--a widely used algorithm in practice. Specifically, based on the relationship between SGD and Markov Chains [DDB19], we show that the average of SGD iterates is asymptotically normally distributed around the expected value of their unique invariant distribution, as long as the non-convex and non-smooth objective function satisfies a dissipativity property. We also characterize the bias between this expected value and the critical points of the objective function under various local regularity conditions. Together, the above two results could be leveraged to construct confidence intervals for non-convex problems that are trained using the SGD algorithm.
Differentiable Quality Diversity

Quality diversity (QD) is a growing branch of stochastic optimization research that studies the problem of generating an archive of solutions that maximize a given objective function but are also diverse with respect to a set of specified measure functions. However, even when these functions are differentiable, QD algorithms treat them as black boxes, ignoring gradient information. We present the differentiable quality diversity (DQD) problem, a special case of QD, where both the objective and measure functions are first order differentiable. We then present MAP-Elites via Gradient Arborescence (MEGA), a DQD algorithm that leverages gradient information to efficiently explore the joint range of the objective and measure functions. Results in two QD benchmark domains and in searching the latent space of a StyleGAN show that MEGA significantly outperforms state-of-the-art QD algorithms, highlighting DQD's promise for efficient quality diversity optimization when gradient information is available. Source code is available at this https URL.
A SURVEY ON CHARACTERISTICS OF TOP CRYPTOCURRENCIES

In this fast-growing world, money has become a dominant asset. As the technology evolved, a new way of money transfer arose named Cryptocurrency. Cryptocurrency, also known as crypto, is a digital currency and has no physical form. Cryptocurrency is trending in finance and technical fields. It is very popular among investors as well. There is various cryptocurrency available in the market with different price and properties. The objective of this paper is to get familiar with cryptocurrency and compare different characteristics of top cryptocurrencies. The cryptocurrency listed in the paper were most likely to be found on any website about cryptocurrency. In this paper, an overview of all these cryptocurrencies is provided along with their prices. The list of top cryptocurrencies was taken from indiatoday.com and it was verified by other online sources.[1]
Press ${@}{\$}{@}{\$}$ to Login: Strong Wearable Second Factor Authentication via Short Memorywise Effortless Typing Gestures

The use of wearable devices (e.g., smartwatches) in two factor authentication (2FA) is fast emerging, as wearables promise better usability compared to smartphones. Still, the current deployments of wearable 2FA have significant usability and security issues. Specifically, one-time PIN-based wearable 2FA (PIN-2FA) requires noticeable user effort to open the app and copy random PINs from the wearable to the login terminal's (desktop/laptop) browser. An alternative approach, based on one-tap approvals via push notifications (Tap-2FA), relies upon user decision making to thwart attacks and is prone to skip-through. Both approaches are also vulnerable to traditional phishing attacks. To address this security-usability tension, we introduce a fundamentally different design of wearable 2FA, called SG-2FA, involving wrist-movement “seamless gestures” captured near transparently by the second factor wearable device while the user types a very short special sequence on the browser during the login process. The typing of the special sequence creates a wrist gesture that when identified correctly uniquely associates the login attempt with the device's owner. The special sequence can be fixed (e.g., “ <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${@}{\$}{@}{\$}$</tex> ”), does not need to be a secret, and does not need to be memorized (could be simply displayed on the browser). This design improves usability over PIN-2FA since only this short sequence has to be typed as part of the login process (no interaction with or diversion of attention to the wearable and copying of random PINs is needed). It also greatly improves security compared to Tap-2FA since the attacker can not succeed in login unless the user's wrist is undergoing the exact same gesture at the exact same time. Moreover, the approach is phishing-resistant and privacy-preserving (unlike behavioral biometrics). Our results show that SG-2FA incurs only minimal errors in both benign and adversarial settings based on appropriate parameterizations.
The effect of applying governance mechanisms on and improving the quality of accounting information in Banks operating in Jordan from the employees point of view: أثر تطبيق آليّات الحوكمة في تحسين جودة المعلومات المحاسبيّة في المصارف العاملة في الأردن من وجهة نظر العاملين

The study aimed to clarify the impact of applying the governance mechanisms on improving the quality of accounting information in banks operating in Jordan by applied a questionnaire to a sample of 316 workers in the Jordanian banks, and it reached the below results: (first): The percentage of applying governance mechanisms. and The percentage of applying The level of accounting information quality in banks operating in Jordan was good. (second): The effect of applying governance mechanisms on the quality of accounting information is positive and has a statistical indication, which indicates an increase and an improvement in the level of the accounting information quality due to the impact of applying governance mechanisms, and all that is from the point of view of employees in the study sample banks. (fifth): There is an effect of the interaction of educational qualification and experience of the workers in improving the quality of accounting information. And the higher the educational qualification and experience of the employees, the greater is the accounting information quality will be better. And The study presented proposals, and the most important one is to have an integrated framework for institutional governance that will contribute to spreading the culture of governance and its implementation in the banks and emphasizing the importance of working to increase the level of the accounting information issued, the high quality that contributes in strengthening the status of the institution and encouraging investments in it.
A study of factors that influence consumer behavior of gold saving toward online platforms

With the divergence in global economy and a rising digital platform, individual investors need to consider all kinds of saving and investment instruments, such as equity stock trading, mutual fund, and commodity, on different platforms, from offline to online, to give as much return possible. As gold is a haven for political risk, economic risk, and war, to hedge and reduce risks from other investments, this independent study was focused mainly on the factors that influence consumer behavior of gold saving toward online platforms. This study was a contemporary topic in applied marketing focusing on technology, specifically on how to influence Thai people to start saving more gold using online applications. The objectives were (1) to understand the criteria that people choose when they decide to invest in particular product/service, (2) to identify critical factors influencing saving concern toward online services and (3) to evaluate the saving value consumers willing to trade off with other services with online services and (4) to identify segments based on consumer attitudes, behaviors and trade-off value. The research duration was 12 weeks, starting from 10th January 2020 until 5th April 2020.The literature reviews covered the background of saving in Thailand, the concept of saving and investment, individual saving and investment, the principle of investment, and the gold industry in Thailand. Both primary and secondary research methodologies were conducted. Secondary sources came from the government agency’s website and published information, gold online platform community and online articles. The primary approach consisted of seven in-depth interviews, and 135 surveys of people who invested in at least one form of investments and performed online monetary transactions. The gathered data were analyzed using Statistical Package for the Social Sciences (SPSS).In terms of saving and investment, people allocated the saving and investing amount into almost half. The average expected return was 13 percent annually. They also understood the concept of high risk and high return well, and, on average, diversified into four different types of investment. In terms of online investment factors, they gave highest priority on security and credibility. More than half of the respondents showed interest in trying the gold online platform giving convenience as the key reason. The results showed that interested respondents in gold online platforms could be classified into two groups: information seeker (50.5%) and convenience seeker (49.5%) based on online investment behavior. The conclusion was that gold service providers should focus mainly on people with age ranging between 26 to 35 years old because other demographic factors had little to no impact on the investment decision.
Schematic Implementation Of High-Speedvlsi Authenticated Encryption For Gcm Architecture

High-speed VLSI authenticated encryption for GCM architecture is discussed in this article, which offers superior security and resource efficiency as compared to current standards. With an authenticated encryption system using a key scheduling method, you can ensure privacy and integrity on a regular basis. S-Box is used as a replacement for bits after the pre-processing step for preserving all bits in the register. Random number (the counter) is used in Counter mode, where each block of text encryption is altered. Counter mode uses random number. Finally, Encryption is used to encrypt the shifted bits. The ISE design tool from Xilinx 14.7 was used to execute this project, which produced outputs like the RTL schematic, the technology schematic, and the output waveforms in great detail.
Library Guides: Google Scholar Basics: Library Databases vs. Google Scholar

Learn how to use Google Scholar to find full-text articles, complete known query searches, and compare and contrast to library databases. How do library databases compare to Google Scholar?
A Survey on Use of Search Based Optimization techniques in Software Engineering

In recent years search based optimization techniques in software engineering has been a burgeoning interest among software engineering. The Search Based Optimization Techniques are used to shift problem of software optimization from human based search to machine based search, by using techniques like meta-heuristic search and evolutionary computation. The idea behind this paradigm is to mingle human creativity with computing machine's reliability. This article presents a survey on some good work already done in this field.