Reviewerly/exHarmony huggingface dataset:
Sistem Informasi Pembayaran Partisipasi Sumbangan Masyarakat (PSM) Berbasis Web Pada SMA Negeri 2 Sukoharjo

SMA Negeri 2 Sukoharjo addressed at Jl. Raya Sala-Kartasura, Mendungan, Pabelan, Kartasura, Sukoharjo Regency, Central Java 57162. Currently, SMA Negeri 2 Sukoharjo has implemented PSM (Community Contribution Participation) payments. The purpose of this research is to build a PSM payment information system that the process is still done manually or not computerized both by transaction and data recap. This process is still felt to have many shortcomings, including slowing down the process of service to students, the process of recording, payment and recap of payments. This causes not optimal processes related to PSM payments. Data collection methods used to build this information system are the method of observation, interviews, and literature study. The stages of the Development Method used are the Waterfall Method. The Waterfall method consists of the needs analysis, design, programming, testing, implementation, and maintenance stages. The results of this study are to produce a web-based PSM payment information system that can help school activities, especially the Administration section in PSM payment services quickly, easily, and accurately. The results of trials conducted to prospective users produce an average of 90% of the system works well according to its function and meets user expectations.
Research Guides: Welcome to Using Primo: Simple Article Searching

A resource guide for students and faculty about the transition to the Primo VE discovery service.
DOMESTIC HIGH-PRECISE GNSS RECEIVERS

In the article an overview of GNSS receivers produced in Russian Federation is given. The problem of determining the manufacturer’s country is considered with the analysis of Russian domestic GNSS-receivers market. The main conclusion about small number of domestic manufactured devices with Russian-made technical elemental-base is made. Also the analysis of the technical specifications of the receivers led to the conclusion about the low-level of the domestic receivers performance if compared with foreign ones. Other problems of domestic-made devices are considered including the high prices, low competition, focus on the special consumer and also insufficient number of those devices in the market. The next-generation receiver announced last years must solve or minimize all those problems and bring the domestic GNSS-devices market to the new level of quality. The main conclusion about optimistic trend of Russian high-precise domestic GNSS-receivers market is made.
A Management Decision Support System for Evaluating Information Security Behaviour.

Information security management is a difficult task in organisations. Owing to skills shortages and the like, there are relatively few managerial staff that possess the required expertise to confidently make security decisions. The purpose of this paper is to present a decision support system that can analyse, and provide insight into, information security behaviour in an organisation, all the while supporting management decision-making for organisational factors. Behavioural threshold analysis is employed by the system to predict eventual information security behaviour for different groupings in an organisation. The decision support system that is presented here, which is the first of its kind, can be helpful in understanding the current state of organisational information security behaviour, and what can be done to improve upon the current state. After intervention measures the system may be used to test whether these measures had the intended positive effect. The system is discussed in terms of the different information areas that are used to allow insight into the security behaviours. A critical reflection provides an analysis of the contributions and limitations of the system.
Internet Protocol Multimedia Subsystem Security Risk Mitigation In Fix Telephone Network

IP Multimedia Subsystem (IMS) is core networks of enhance telecommunication technology which running over the open platform and Internet Protocols (IP). Hence the security risks from open platform and IP Networks contribute to the Risk of IMS technology usage. Appropriate safeguards need to developed in order IMS technology can be used safely and provide it services. The purpose of this study is to get a security risks profile in the implementation and operation of IMS on fixed telephone networks and develop the comprehensive security mitigation strategy. To obtain a complete risk profile, it required trusted and reliable risk assessment framework. The author chooses the framework of National Institute of Standard and Technology (NIST) Special Publication 800-30, which provides complete guidance in obtaining risk assessments. The result of the risk assessment becomes an input to develop mitigation strategies. Appropriate mitigation strategies derived from the risk profile and suitability of actions that need to be done. Security Mitigation plan are taken to reduce the risks that may occur. Mitigation can be achieved through comprehensive implementation of security controls in technical, managerial, and operational. With the implementation of comprehensive control of security risk reduction will be achieved.
Categorization of cryptoassets 1

This chapter begins with a history of the blockchain in order to give some background as to how the different cryptoassets have emerged. It identifies the gap in existing categorizations and explains why a more detailed study is required. The chapter provides some more details in each category and any subcategories. It outlines financial characteristics of different cryptoasset categories and help users better asses the risks and uses for each asset. The chapter presents the major classifications of cryptoassets, namely cryptocurrencies, utility tokens and security tokens. It examines the origins and key features of each category to enable the reader to compare these cryptoassets to traditional assets in a more informed way and to identify the similarities and differences. Cryptocurrencies may have important macroeconomic consequences in a wide range of areas such as unit of account for trade and investments, developments in financial surveillance and the stability of financial system.
Estrategia excluyente de la evaluación diagnóstica mediada por TIC: Caso Práctico Unidad Educativa San Vicente Ferrer

ABSTRACT This research shows the different points of view, assessments and questionsaround private educational institution entrance examinations: is it objective;does it measure knowledge or skills; is it an administrative or pedagogicalnecessity; should another type of admission system be applied? The articlehas been based on bibliographic findings, where the publications that standout on this topic are explored with great expectation. In a methodical way,the vision of different organizations that are related to educational quality isanalyzed; in addition, it is inferred about the proposition of the authors thathave given their time to arrive at conclusions or theoretical foundationsabout evaluation and what it currently pretends; and it is concluded in eachcase showing a critical position, but at the same time without moving awayfrom the purpose of reaching with the research, defending the possibility thatan automated evaluation method is not always excluding or punitive, butquite the opposite. By analyzing each one of the questions, the reasons thatprevent many people from admitting with total security that this type ofevaluation is based on technological tools, is considered an effective modelfor an admission process in a private educational institution. KEYWORDS Education, quality, Information and Communication Technologies,automation, private educational institution, diagnostic evaluation.
A Variant of Updating Page Rank in Evolving Tree graphs

PageRank update refers to the process of computing new PageRank values after change(s) (addition or removal of links/vertices) has occurred in real life networks. The purpose of the updating is to ...
Research Guides & Library How-To: CSU and Elsevier Open Access Publishing Agreement: Home

This guide shares information and author instructions for the CSU and Elsevier OA Publishing Agreement.
LibGuides: ENG1100: College Writing Fall 2020: Finding eBooks, Books & Media

Use this guide to locate resources for your exploratory essay assignment. Using the Library catalog
Assessment of Predictive Uncertainty of Data-Driven Environmental Models

&amp;lt;p&amp;gt;Due to ever larger volumes of environmental data, environmental scientists can increasingly use machine learning to construct data-driven models of phenomena. Data-driven environmental models can provide useful information to society, but this requires that their uncertainties be understood. However, new conceptual tools are needed for this because existing approaches to assess the uncertainty of environmental models do so in terms of specific locations, such as model structure and parameter values. These locations are not informative for an assessment of the predictive uncertainty of data-driven models. Rather than the model structure or model parameters, we argue that it is the &amp;lt;em&amp;gt;behavior&amp;lt;/em&amp;gt; of a data-driven model that should be subject to an assessment of uncertainty.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this paper, we present a novel framework that can be used to assess the uncertainty of data-driven environmental models. The framework uses argument analysis and focuses on epistemic uncertainty, i.e., uncertainty that is related to a lack of knowledge. It proceeds in three steps. The first step consists in reconstructing the justification of the assumption that the model used is fit for the predictive task at hand. Arguments for this justification may, for example, refer to sensitivity analyses and model performance on a validation dataset. In a second step, this justification is evaluated to identify how conclusively the fitness-for-purpose assumption is justified. In a third step, the epistemic uncertainty is assessed based on the evaluation of the arguments. Epistemic uncertainty emerges due to insufficient justification of the fitness-for-purpose assumption, i.e., if the model is less-than-maximally fit-for-purpose. This lack of justification translates to predictive uncertainty, or &amp;lt;em&amp;gt;first-order uncertainty&amp;lt;/em&amp;gt;. Uncertainty also emerges if it is unclear how well the fitness-for-purpose assumption is justified. We refer to this uncertainty as &amp;amp;#8220;second-order uncertainty&amp;amp;#8221;. In other words, second-order uncertainty is uncertainty that researchers face when assessing first-order uncertainty.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We illustrate how the framework is applied by discussing to a case study from environmental science in which data-driven models are used to make long-term projections of soil selenium concentrations. We highlight that in many applications, the lack of system understanding and the lack of transparency of machine learning can introduce a substantial level of second-order uncertainty. We close by sketching how the framework can inform uncertainty quantification.&amp;lt;/p&amp;gt;
ACAR - ACARA LANCAR : APLIKASI MARKETPLACE JASA WEDDING AND PARTY ORGANIZER (MODUL PENGELOLA & UNDANGAN DIGITAL)

Abstrak Latar belakang pembuatan aplikasi marketplace jasa wedding & party organizer modul pengelola dan undangan digital. Pembangunan aplikasi ini, dikarenakan masalah yang dihadapi oleh pengelola dalam melakukan pencatatan data vendor, data produk per vendor, data customer, data pesanan dan pembuatan undangan digital. Aplikasi ini digunakan untuk memfasilitasi pengelola untuk melihat data vendor, data produk per vendor, data customer dan data pesanan dan pembuatan undangan digital. Metode yang digunakan untuk membangun aplikasi adalah metode waterfall. Tahap pengerjaan waterfall yaitu requirements definition, system and software design, implementation and unit testing, integration and system testing, operation and maintenance. Aplikasi ini dibangun menggunakan framework codeigniter, bahasa pemrograman PHP, MySQL, Web Server, Apache dan tools editor menggunakan sublime text 3. Hasil akhir yaitu dapat mencatat data vendor, data produk per vendor, data customer, data pesanan dan pembuatan undangan digital. Kata Kunci: Waterfall, Undangan Digital, Vendor, Customer Background on creating marketplace applications for wedding services & party organizer, digital invitation and management modules. This application development, due to problems faced by managers in recording vendor data, product data per vendor, customer data, and orders and making digital invitations. This application is used to facilitate managers to view vendor data, product data per vendor, customer data and order data and create digital invitations. The method used to build applications is the waterfall method. The stages of waterfall work are requirements definition, system and software design, implementation and unit testing, integration and system testing, operation and maintenance. This application was built using a codeigniter framework, programming language PHP, MySQL, Web Server, Apache and editor tools using sublime text 3. The end result is being able to record vendor data, product data per vendor, customer data, order data and making digital invitations. Keyword: Waterfall, Digital Invitation,Vendor,Customer
Biologically plausible deep learning: Should airplanes flap their wings?

Deep neural networks follow a pattern of connectivity that was loosely inspired by neurobiology. The existence of a layered architecture, with deeper neurons representing increasingly abstract features, was known from neuroscience long before it was used in machine learning. However, when one looks beyond superficial similarities, deep networks appear to be very different than their biological counterparts. First and foremost, there is the manner in which they are trained. Deep networks are almost universally trained with stochastic gradient descent, where gradients are computed using backpropagation. Backpropagation requires that neurons are able to emit two types of signal - a forward activation and a backward gradient. Biological neurons send signals down a one-way signalling pathway called an axon, and appear to lack any mechanism for backpropagating gradients. Secondly, there is the means of communication. Backpropagation requires that neurons communicate continuous-valued signals between each other, whereas biological neurons communicate with a stream of all-or-nothing impulses called spikes. Third, there is the domain in which networks are used. Deep networks are typically fed with independent and identically distributed samples of data, whereas biological networks learn online from a single, unceasing, temporally-correlated data stream. In this thesis, we examine how we can effectively train neural networks while obeying the biological constraints. This is not only of academic interest. The brain, which by any estimate does vastly more computation than any existing computer, uses only about 20W of power - less than a light bulb. Understanding how it works may help us to build more efficient computing hardware. This thesis includes the work of four published papers, which address the following questions, respectively: • How can we exploit temporal redundancy in data for more efficient inference? • How can we exploit temporal redundancy in data for more efficient training? • How can we train a feedforward network without backpropagation? • How can we achieve gradient descent when neurons are confined only to emit quantized signals, and cannot send signals backwards? The results from this work help us to see what a truly brain-like machine learning architecture may look like.
Research on the Quality Evaluation Method of Transmission and Transformation Inspection Data

Abstract In the era of big data, transportation and inspection data of power transmission and transformation equipment have the characteristics of diversity and richness. Massive data provide data support for state assessment of power transmission and transformation equipment, but at the same time, it also puts forward higher requirements for traditional data management and data quality mode. In this paper, the application of density distribution function estimation and information entropy statistical method in data quality evaluation of transmission and transformation equipment is studied. From the perspective of data integrity, validity and consistency, a five-dimensional data quality evaluation model is established to realize the information checking and quality evaluation of transmission, transformation and transportation inspection based on data characteristics and business rules. On the one hand, it can be compared and evaluated before and after data cleaning, on the other hand, it can also be convenient to find problems in the process of data collection
Uso de la plataforma educativa en línea Eminus para evaluar aprendizajes mixtos en estudiantes universitarios

Educational innovation is an important factor in the sustainable development of teaching practice. The aim of this study was to transform and systematize a mandatory theoretical-conceptual course for the Psychology at the Veracruzana University (UV), Mexico. A sample of 25 students who were enrolled in the educational experience participated in the study. The course consisted of evaluating blended learning, through a face-to-face course, supported by the online educational platform (Eminus) and the use of anatomical models. The performance of the students was evaluated throughout 16 activities/evaluations. The pass/fail results were compared with four groups of students who took the course with the same teacher (2013-2017). The Eminus platform produced information on the performance of each student both individually and in groups. The number of accesses to the platform was positively correlated with the final average obtained (p < 0.0006). These results will allow the establishment of specific actions, relying on digital resources offered by the UV for teacher improvement.
Matching Conditions on Right Peripheral Ellipsis: An Experimental Perspective

This study presents experimental results on honorification and tense mismatches in Korean Right Peripheral Ellipsis (RPE), a type of coordinate ellipsis in which the main predicate and optionally its dependents are missing in non-final conjuncts. Using acceptability judgment tasks, we tested competing hypotheses to determine whether and to what extent honorification and tense mismatches affect the acceptability of RPE sentences. Experiment results indicate that both honorification- and tense-mismatched RPE sentences are less acceptable than their grammatical unRPEed sources, but there was a crucial difference: the acceptability of honorification-mismatched RPE sentences was closer to that of their grammatical unRPEed counterparts, but the acceptability of tense-mismatched RPE sentences was closer to that of their ungrammatical unRPEed counterparts (Experiment 1). The results also suggest that the low acceptability of tense-mismatched RPE sentences is likely to indicate the effects of tense mismatches and not of ellipsis (Experiment 2). These results reject the widespread assumption that morphological mismatches in RPE are acceptable (Ahn & Cho, 2006; Park, 2009; Kim & Cho, 2012) and have implications for theories of honorification and tense.
WAVELET ANALYSIS OF HEIGHT AT POINTS OF THE CHANNEL OF A SMALL RIVER FROM THE MOUTH ON SPACE IMAGES

The purpose of the article is to analyze asymmetric wavelets of changing the coordinate - the local elevation of the Irovka river channel, as well as the influence of local latitude and longitude on it of 290 characteristic points along the river channel from source to mouth. After identifying the general wavelet equation, 12 terms were obtained in the form of asymmetric wavelets with variable amplitude and oscillation period. The first three members gave a correlation coefficient of 0.9993, which is slightly less than for latitude 0.9999, but more than for longitude 0.9991. As a result, all three coordinates have the strongest factorial relation with an adequacy of more than 0.999. All 12 wavelets distribute 95.52% of the points of the channel with a model error of up to 5%. The first term of the error distribution formula at 290 points of the river bed is the Laplace (Mandelbrot, Zipf-Perl, Pareto) law of exponential decline, and the second equation shows the stress excitation of the number of errors according to the biotechnical law. The comparison showed that 25 fractal terms were obtained for latitude, 18 for longitude, and 12 wavelets for altitude. As a result, height as a factor also shows high certainty in the quantization of wave equations. A zero rank in the fractal distribution of 12 wavelets receives an arithmetic mean value. The standard deviation decreases from 12.219 for the arithmetic mean to 1.489, that is, 8.2 times, for the first term. After the 12th wavelet, according to the tri-sigma rule, a spread of 0.3 m is formed, which is much less than the actual measurement error of 0.5 m for height from satellite images.
Computer simulations, machine learning and the Laplacean demon: Opacity in the case of high energy physics∗

In this paper, we pursue three general aims: (I) We will define a notion of fundamental opacity and ask whether it can be found in High Energy Physics (HEP), given the involvement of machine learning (ML) and computer simulations (CS) therein. (II) We identify two kinds of non-fundamental, contingent opacity associated with CS and ML in HEP respectively, and ask whether, and if so how, they may be overcome. (III) We raise the question of whether any kind of opacity, contingent or fundamental, is unique to ML or CS, or whether they stand in continuity to kinds of opacity associated with other scientific research.
Complexity bounds on Semaev’s naive index calculus method for ECDLP

Abstract Since Semaev introduced summation polynomials in 2004, a number of studies have been devoted to improving the index calculus method for solving the elliptic curve discrete logarithm problem (ECDLP) with better complexity than generic methods such as Pollard’s rho method and the baby-step and giant-step method (BSGS). In this paper, we provide a deep analysis of Gröbner basis computation for solving polynomial systems appearing in the point decomposition problem (PDP) in Semaev’s naive index calculus method. Our analysis relies on linear algebra under simple statistical assumptions on summation polynomials. We show that the ideal derived from PDP has a special structure and Gröbner basis computation for the ideal is regarded as an extension of the extended Euclidean algorithm. This enables us to obtain a lower bound on the cost of Gröbner basis computation. With the lower bound, we prove that the naive index calculus method cannot be more efficient than generic methods.
COMPARISON OF THE USE OF ZOOM AND WHATSAPP APPLICATION IN ONLINE LEARNING TO SELF-EFFICACY

This research was motivated by the Covid-19 pandemic that hit Indonesia. This Pademi makes face-to-face learning into online learning. This study aimed to determine the comparison of the self-efficacy of students who learn online using the zoom application and the WhatsApp application. This study's population was STMIK Royal students in the Information Systems study program who took the Statistics course. The research samples were 5A grade students (learning using the zoom application) and 5B grade students (learning using Whatsapp application). The results showed that the use of the zoom application in online learning was better than using the WhatsApp group application in increasing student learning self-efficacy.
LibGuides: Education and Training: Finding Websites

Our Education and Training guide can help you find ways to manage your classroom, learn skills for online and face to face instruction, and with resources that focus on STEAM in Early Childhood Education, reading comprehension, and math concepts.