Reviewerly/exHarmony huggingface dataset:
RANCANGAN SISTEM REKOMENDASI PEMILIHAN JENIS SMARTPHONE DENGAN METODE JARINGAN SYARAF TIRUAN

Newley Purnell announced that this increase also discusses the protection of consumers in Southeast Asia who prefer smart phone products at varying prices with high-end features such as camera features, design, and battery and storage capacity. In this study, using backpropagtion artificial nerves is expected to provide another alternative in estimating and predicting the level of smartphone purchases. From the results of the study, the best network architecture was obtained from the 4-10-4-5 network pattern architecture and the best training algorithm. Artificial Neural Network backpropagation method for rating system in smartphone selection has a high level of accuracy which produces 85.52% and which the system cannot read by 14.48%. Such as gender, age, type of work, salary and so on
Solubility of gold in the reduced carbonic fluid

The first experimental data on the gold solubility in the fluid with composition CO-CO2 and C-O-S with small water content at the pressure 200 MPa and temperature 950°С are reported. Solubility in the fluid C-O-S is about 27 ppm. Estimation of the solubility of gold in fluid CO-CO2 with 10–15 mol.% CO is less accurate: its value is at least 2–3 ppm, but it probably can reach 200–300 ppm. The high solubility of gold found in this work, and previously Pt (Simakin et al., 2016), in the reduced carbon dioxide can explain the formation of these noble metal ore occurrence in the Gluli intrusion (Polar Siberia) by their fluid extraction and re-deposition at temperatures below the solidus. The reducing of a substantially oxidized carbon dioxide fluid, established by mineralogical sensors, was probably caused by subsolidus oxidation of olivine.
A Mobility Restriction Authoring Tool Approach based on a Domain Specific Modeling Language and Model Transformation

There are many situations in which there is a need to monitor the location and behavior of people and/or vehicles in order to detect possible irregularities and control where they are located and how they move, such as in companies, public transportation and public security. In this paper, we present MobCons-AT (Mobility Constraints Authoring Tool), an authoring tool that allows the specification of mobility restrictions rules that must be followed by mobile nodes. Rules are specified through a Domain-Specific Modeling Language (DSML) called MobCons-SL (Mobility Constraints Specification Language). Once specified in MobCons-SL, these rules are automatically transformed into software artifacts that performs the detection of the mobility restrictions violations performed by mobile nodes. This approach allows faster delivery time and lower the cost for the development of software systems aiming the detection of mobility restrictions. This paper also describes the use of MobCons-AT in two case studies, showing its applicability for diverse mobility scenarios.
EFFORTS TO IMPROVE THE WRITING ABILITY OF TEXT REPORTS OF OBSERVATION RESULTS OF STUDENTS CLASS VII MTS NURUL FALAH KOTA CIMAHI

This research is motivated by the students 'ability to write is still low, it is due to a lack of students' understanding of the material taught so that they are still confused to write and integrate words into full text. The purpose of this study is to determine the implementation of theprogram, lesson study especially in terms of improving the ability to write student observation report text. This type of research is Classroom Action Research (CAR) based on lesson study. The subject of this study was VII-F class students of MTs Nurul Falah, Cimahi City. The instruments used were observation sheets, RPPs, Student Worksheets (LKS), and test sheets of students' ability to write observational report text. The finding of this analysis is that implementing theprogram lesson study showed an increase in students' writing ability in the observation report text. This is known by the increasing number of students who show independence in the learning process, students are able to analyze the structure and rules of language contained in the text of the observation report. In addition, students are also able to compile the text of the observation report.
Geometric Characterization of Yagi Antenna Using Digital Image Processing

This work proposes a system capable of obtaining the geometric measurements of a Yagi antenna using digital image processing. The objective is to obtain the measurements automatically in 3D using the CST STUDIO software, which is a program specializing in electromagnetic simulations in 3D. The antenna images are acquired by means of a depth sensor and an RGB sensor. By applying image processing techniques such as thresholding, morphology, filtering, and segmentation, the image obtained by the RGB sensor will identify the parts that are comprised by the antenna and their measurements in pixels. Through the image obtained with the depth sensor, it will be possible to transform said measurements from pixels into a unit of length. To obtain these measurements with the least possible error, the system processes 30 samples and averages them to obtain the final measurements. With this process, it was possible to obtain a measurement error of 0.16 cm.
From Parsed Corpora to Semantically Related Verbs

A comprehensive repository of semantic relations between verbs is of great importance in supporting a large area of natural language applications. The aim of this paper is to automatically generate a repository of semantic relations between verb pairs using Distributional Memory (DM), a state-of-the-art framework for distributional semantics. The main idea of our method is to exploit relationships that are expressed through prepositions between a verbal and a nominal event in text to extract semantically related events. Then using these prepositions, we derive relation types including causal, temporal, comparison, and expansion. The result of our study leads to the construction of a resource for semantic relations, which consists of pairs of verbs associated with their probable arguments and significance scores based on our measures. Experimental evaluations show promising results on the task of extracting and categorising semantic relations between verbs.
AN EFFICIENT APPROACH OF UNSTRUCTURED DATA USING IMIL TECHNIQUE

In present situation, the developing information are normally unstructured. For this situation to deal with the wide scope of information is troublesome. The proposed paper is to process the unstructured content information viably in Hadoop map lessen utilizing java. Apache Hadoop is an open source stage and it broadly utilizes Map Reduce structure. Guide Reduce is mainstream and powerful to process the unstructured information in parallel way. There are two phases in guide decrease, to be specific change and store. Here the information parts into little squares and laborer hub process singular squares in parallel. The proposed methodology for coordinating procedure in web bunch databases from various database servers can be effectively incorporated and convey exceptionally dimensional Map reducer asset the board and reuse is a long way from being full grown. In any case, Map reducer is additionally a broadly open research territory, and there is still much opportunity to get better on the strategy. This exploration instrument incorporates 1) improving the proposed advancement approach by making utilization of and contrasting distinctive developmental calculations, 2) applying the proposed way to deal with help more applications, and 3) reaching out to the circumstance with various Map reducer frameworks or administrations.
Review- Calculation of client credit risk prediction in banking sector using data mining

Data Mining is a competent section of data exploration which seeks to eliminate realistic data from implausible extent of comprehensive data. The massive measurement of these data grounds formulate it impractical for a human predictor to come up with stirring in turn that will help out in the judgment conception process. A numeral of commercial endeavor has been hasty to be proverbial with the attraction of this deliberation. The explanation of this dissertation is to manner a relation erudition on the precision of categorization models and their cost can be smoothly comprehend and they can be realistic on both specific and ceaseless data. Many data mining technique are intended to bulge admire attaining plight that everybody has some significance and limitations other way. The aim to this interpretation is affordable that an entire evaluation associated to sensible data mining process in credit scoring condition. Such direction can support the superintendent to be cognizant of most usual practice in recognition scoring measurement, determine their boundaries, get superior then and recommend new system with enhanced facility.
Primo: Towards a Socially Just Search System

At the Portland State University (PSU) Library, we value diversity, equity, and inclusion and have demonstrated this commitment by design with the new, responsive Primo. Designing the new Primo for ease of use for discovery and delivery for 30,000 students was the tantamount motivation for our new Primo launch, fall term 2016. In this session, we will cover why the PSU Library uses the open search field rather than scope selection on the homepage; what is an equitable approach to faceted navigation; and why a “less is more” design approach addresses accessibility and the affective for first generation college students, returning students, and first year experience students.
SISTEM INFORMASI PENGGUNAAN ALAT LABORATORIUM PADA SMK ANALIS KESEHATAN TUNAS MEDIKA(STUDI KASUS : LABORATORIUM HEMATOLOGI)

Recording usage of the laboratory equipment is needed for helping staff of the laboratory to check the laboratory equipment that is borrowed by the students to support college student’s learning activit ies in SMK Analis Kesehatan Tunas Medika. To facilitate equipment recording activity needed an information systems that can support in laboratory. This research aims to develop information systemssuch as an application based on computer at Laboratory in SMK Analis KesehatanTunas Medika in recording usage of the equipment in laboratory, because all thistime all the process almost entirely has done as semi-manual. This research wasdevelop through qualitative methode such as collecting data through documentstudy, observation and interview. Software engineering in this research using RADmethod (Rapid Application Development). The data analyzed using the PIECESmethod. Design applies the OOAD method (Object Analysis and Design) withUML tools (Unified Model Language). The expect results are laboratoryinformation systems. That systems facilitates for collecting data, processing dataand submitting the report to the related parties.
Cybersecurity: Safeguarding Your Pharmacy from Hackers

Some of the most notorious hacks during the past few years have been, and most likely will continue to be, perpetrated by a shadowy group of computer wizards known as Anonymous.
New IPv6 Multicast Addresses for Switch ML

Recently, in-network aggregation to scale distributed machine learning(ML) has been presented. A network switch implementation uses IPv4broadcast messages from switch to the hosts to send updates to allworkers. IPv6 does not support broadcast addresses. This documentproposes, IPv6 implementations use the IPv6 link-local all- nodesmulticast address, until a new IPv6 link-local multicast address isassigned by IANA for switch to hosts multicast communications.
A PERFORMER’S GUIDE TO ADAM CUTHBÉRT’S WORKS FOR SOLO TRUMPET AND ABLETON SOFTWARE

Adam Cuthbert has established himself as a composer worthy of study through his prolific interactions with a wide range of performers and organizations of national and international renown. High profile groups such as the Friction String Quartet, Third Coast Percussion, and Bang on a Can All Stars have performed his works, and the New York Times, the San Francisco Chronicle, and National Public Radio have reviewed his compositional output. Also a trumpeter, Cuthbert has composed four works for solo trumpet and Ableton Live software, with the most significant of these works being an interactive sonata over 35 minutes in length. However, the unique nature of these works provides challenges for an interested performer. This will address Cuthbert’s works through providing a historic context for the pieces, an in depth guide to the physical setup as well as the software used in performance, analysis of the works themselves, and interviews with several performer of these works in addition to an interview with the composer. Analysis will include pedagogical and technical demands for the performer as well as musical analysis using Brian Fennelly’s XYE system of analysis of sound in order to garner an understanding of the structure of these works.
Assessment Of Renewable Energies Potential In The Eastern Region Of Morocco Using Forecasting Tools

This article represents the forecasting tools for load and renewable energies, first we presented a methodology of load forecasting and we compared the different methods quoted in the literature. We decide using analytical tools like multiple linear regression because it’s very suitable for load forecasting studies, for the reason to have the trend of electric energy evolution in the East of Morocco. Subsequently we presented the production situation of the Eastern region, finally we estimate the solar potential using the time series method, this method is developed for medium and long term forecast studies and it’s suitable tool for intermittent energies.
LibGuides: Special Collections: Recent Acquisitions

How to make the most of Special Collections in Concordia Seminary Library Check out some of the items recently added in Rare Books!
ALTERNATIVE EDUCATION AS A SUBJECT OF THE PHILOSOPHY AND EDUCATIONAL DISCOURSE

Requests for lifelong learning are becoming more and more relevant and reflect not only the need for education but also the stability of the country, because education is a mainstay of the social, professional and social sectors. The indisputable definition of nonacademic education as an unusual phenomenon in the modern educational world leads to satisfaction of the actual requests of citizens.
Problems Mainly Propertian

The poetic works of the Italian poet Francesco Sperulo ( 1463-1531) contains a cycle of four books of elegies originally dedicated to Cardinal Luigi De’ Rossi and later revised for presentation to Cardinal Ercole Rangone (Biblioteca Apostolica Vaticana, Vat.lat. 1683). Books One (De amore iuvenili, 5v-38v) and Two (De amore coniugali, 39v-72v), modelled upon the works of the classical elegists (Propertius in particular), conventionally chronicle the poet’s infatuation with a certain girl named Leuca. Yet without recourse to the contemporary editions and commentaries of Sperulo’s classical sources many of the poet’s lines and references are inexplicable. This paper uses Filippo Beroaldo’s edition of Propertius to highlight Sperulo’s method of composition and, in so doing, offer a definition of the concept of imitatio as it was perceived in the intellectual circles of Rome in the early sixteenth century with emphasis on the court of Pope Leo X.
Cake And Eat It

This is a story about a completed jigsaw puzzle...When I was 28 I was so depressed that I couldn't work. I couldn't face the outside world.
Effects of the 2015/2016 El Niño on Zimbabwe Rainfall

This study investigates the impacts of the 2015/2016 El Nino event on Zimbabwe rainfall. Rainfall data from the meteorological services department is used to compare the mean monthly rainfall for the 2015/2016 season with the mean rainfall for the 1981 to 2010 climate period; the mean onset and cessation dates for the 2015/2016 rainfall season and their deviation from the mean for the 1981 to 2010 climate period. Although the season started earlier than usual in some places, an anomalously dry peak of the rainy season (December, January, and February) and prolonged intra season dry spells resulted in crop failure. Higher than usual rainfall received during the month of November contributed significantly to the early onset of the rainfall season. Results show some places where the rainfall intensity and distribution failed to meet the requirements for declaration of the start of the season. The El Nino induced erratic rainfall pattern resulted in the month of March being wetter than the month of January which is usually the wettest month because of the position of the Inter-Tropical Convergence Zone (ITCZ) in the southern hemisphere. Above normal rainfall received during the month of March resulted in spatial variations in the mean end of season dates, but generally, the season ended earlier than usual in most parts of the country. The 2015/2016 seasonal forecast issued in August 2015 projected drier than usual conditions over a large portion of the country. Results indicate that a seasonal forecast is a significant tool for planning in order to enhance food security and disaster preparedness.
Finding Relevant e-Learning Materials

Learners in e-Learning environments often have difficulty finding and retrieving relevant learning materials to support their learning goals because they lack sufficient domain knowledge to craft effective queries that convey what they wish to learn. In addition, the unfamiliar vocabulary often used by domain experts makes it difficult to map learners’ queries to relevant documents. Hence the need to develop a suitable method that would support finding and recommending relevant learning materials to learners. These challenges are addressed by exploiting a knowledge-rich method that automatically creates custom background knowledge in the form of a set of rich concepts related to the selected learning domain. A method is developed which allows the background knowledge to influence the refinement of queries during the recommendation of learning materials. The effectiveness of this approach is evaluated on a dataset of Machine Learning and Data Mining documents and it is shown to outperform benchmark methods. The results confirm that adopting a knowledge-rich representation within e-Learning recommendation improves the ability to find and recommend relevant e-Learning materials to learners.
Systematic Improvement of User Engagement with Academic Titles Using Computational Linguistics

This paper describes a novel approach to systematically improve information interactions based solely on its wording. Following an interdisciplinary literature review, we recognized three key attributes of words that drive user engagement: (1) Novelty (2) Familiarity (3) Emotionality. Based on these attributes, we developed a model to systematically improve a given content using computational linguistics, natural language processing (NLP) and text analysis (word frequency, sentiment analysis and lexical substitution). We conducted a pilot study (n=216) in which the model was used to formalize evaluation and optimization of academic titles. A between-group design (A/B testing) was used to compare responses to the original and modified (treatment) titles. Data was collected for selection and evaluation (User Engagement Scale). The pilot results suggest that user engagement with digital information is fostered by, and perhaps dependent upon, the wording being used. They also provide empirical support that engaging content can be systematically evaluated and produced. The preliminary results show that the modified (treatment) titles had significantly higher scores for information use and user engagement (selection and evaluation). We propose that computational linguistics is a useful approach for optimizing information interactions. The empirically based insights can inform the development of digital content strategies, thereby improving the success of information interactions.elop more sophisticated interaction measures.
From lace pattern to notation and back again: integrating visual arts approaches in notation for guided improvisation

Visual artist Danica Maier and composer Martin Scheuregger have been collaborating on an ACE-funded project which takes lace patterns from the Nottingham Lace Archive as the starting point for new live and installation-based visual-musical works. This paper explores the notational strategies used in some of the work created aspart of the project.Ideas of transcribing, encoding and re-encoding are explored through work which has seen the original ‘data’ of the lace patterns first transcribed ‘naively’ into lines, then inscribed as punch-cards to be used with programmable music boxes; the musical results have furthermore been transcribed into traditional notation before further graphic renditions are created. This iterative, re-encoding process has resulted in a variety of pieces, each with differing levels of improvisation yet all stemming from the same source. For these, notational and graphic elements have been used to generate notation which guides the players towards a range of potential musical ‘solutions’ that strive – in a variety of ways – to imitate the original source(s).This paper illustrates the variety of approaches taken, focussing on issues of transcription, accuracy and intention. Furthermore, the particular role of the physical score as ‘text’ will be explored, as will issues relating to the collaborative process and the intersection of fine art and musical disciplinary norms. Context is given through reference to musical composition where the relationship between processes of notation and the act of composition are complex, in particular in the of composition/inscription process used in the composition of player piano works by Conlon Nancarrow. The resulting picture is one of a dialogue between art forms (visual arts and composition), and between composition, notation-driven performance and improvisation.
Research Guides: Finding Books: On the Shelf

This guide aims to provide information about finding books at UBC Library, primarily using the Library catalogue.
Temporal and Spatial Models for Temperature Estimation Using Vehicle Data

Safe driving is a topic of multiple factors where the road surface condition is one. Knowledge about the road status can for instance indicate whether it is risk for low friction and thereby help i ...
Median-of-<i>k</i> Jumplists and Dangling-Min BSTs

We extend randomized jumplists introduced by Br\"onnimann et al. (STACS 2003) to choose jump-pointer targets as median of a small sample for better search costs, and present randomized algorithms with expected $O(\log n)$ time complexity that maintain the probability distribution of jump pointers upon insertions and deletions. We analyze the expected costs to search, insert and delete a random element, and we show that omitting jump pointers in small sublists hardly affects search costs, but significantly reduces the memory consumption. We use a bijection between jumplists and "dangling-min BSTs", a variant of (fringe-balanced) binary search trees for the analysis. Despite their similarities, some standard analysis techniques for search trees fail for dangling-min trees (and hence for jumplists).
LibGuides: CIS 311 - Management Information Systems: for Randy McCoy's students: E-Journals

This is a core class for the Bachelor of Business Administration in which most students get their first experience with using library research tools relating to business.
Research Guides: Evaluating Resources: Print & Electronic: Fact-Checking Tools

Learn how to evaluate a resource for your research. This page has a list of tools that can be used to fact-check News and Social Media.