Reviewerly/exHarmony huggingface dataset:
A Smart Lighting Context-Aware Model Based on Colored Petri Net

Internet of Things (IoT) has stimulated the development of numerous innovative applications in various domains, but the real potential of IoT has not been reached yet. A new paradigm, Cognitive Internet of Things (CIoT), is a step toward grasping that potential. With cognitive capability applied to IoT solutions, a whole new level of comfort is introduced to users. For example, smart home systems can make independent decisions on ambient condition adjustments based on user preferences. Handling all context types, i.e., the information about user preferences and current ambient conditions, is a rising challenge. With the aim to resolve this issue, we propose a smart lighting system based on Colored Petri Nets. The system is context-aware as it takes into account previously learned preferences of each individual user, the outside luminosity condition, as well as the current period of the day. The proposed system relies on an Artificial Neural Network for the calculation of optimal lighting settings.
A NEED ANALYSIS IN LEARNING ENGLISH FOR LAW FACULTY STUDENTS AT IISBUD SAMAWA REA

Abstract: Needs analysis is necessary for the institutions to design or develop the English curriculum to find out a set of competencies needed by the students. Need analysis is to find specific needs for the students in the institution may direct the institution to an English program called English for Specific Purposes (ESP). This study was aimed to find out (1) difficul skills are faced by students of law faculty in mastering English Language, and (2) the basic skills and materials that are considered necessary and unnecessary to be taught to law faculty students in mastering English relating to law subject. Analysis of English language needs is done by giving questionnaires to students to answer, those questions concerning which field of English they are very proficient (speaking, listening, reading and writing) and which areas of English they find it difficult to learn, and choose what lessons they think are necessary which have not been provided in the current syllabus. The result showed that most of students regard to speaking, listening are the most difficult skill of English than other. Then the skill should be taught in English subject is speaking. Speaking skill is the most urgent to teach than other. Addition to, the English materials which related to law are considered necessary to taught is law vocabulary, meeting people, custom law in Indonesia, general election practice using English, and games relating to English law. From this research, it is expected that students can improve their English language skills in Law. Keywords: Need Analysis, English, Law Faculty, ESP
Efficient Rain Simulation based on Constrained View Frustum

Realistic real-time rain streaks rendering has been treated as a very difficult problem because of various natural phenomena.Also, for creating and managing many particles in a rain streak, many resources had to be used.This paper propose am efficient real-time rain streaks simulation algorithm by generating view-dependent rain particles, which can express a large amount of rain streaks even with a small number of particles.By creating a 'constrained view frustum' depending on the camera moving in real time, particles are rendered only in that space.Accordingly, particles rendered well even if the camera keep moving or rotating rapidly.And a small number of particles are used, since the simulation is performed in a userviewed limited space, an effect of simulation many particles can be obtained.This enables very efficient real-time simulation of rain streaks.
Subject & Course Guides: DIY LibGuide: Welcome

A LibGuide showcasing How-To videos and information on accessing library resources and services.
Conversational Strategies Used by Women Speakers in Same-Sex Communication: A Research on Noor Tagouri Podcast

This article sought to explore women's language style through a regular conversation in a natural setting conducted by women speakers. Considering the potential of Podcast on Spotify as a means to gather the conversation discourse, the writers were fascinated by one of the Podcasts performed by an American journalist and activist named Noor Tagouri. She initiated and ran a program called The Process to disclose someone's struggle, unique costumes, and way of thinking behind his/her success. This Podcast was chosen in terms of personal and introspective topics developed by Tagouri and her guest, Lisa Ling, whose profession was also a journalist. Through personal and introspective ideas, the writers were able to identify women's linguistic features such as: minimal responses, hedges, tag questions, questions, commands and directives, swearing and taboo language, and compliments in order to build a cooperative environment. This article employed descriptive qualitative methods following the procedures proposed by Creswell   (2014): collecting the data, analyzing the data, and interpreting the data. From thirty-four minutes of conversation, the result indicated that the speakers frequently used the features of hedges (55%). Then, followed by Minimal response occurred (20%), questions (12%), compliment (8%), tag questions (5%), and commands, directives, swearing and taboos (0%). It can be concluded that the use of hedges was more widely used to maintain the flow of conversations which in line with turn-taking, courtesy, and mitigating miscommunication between speakers.
Fuser and Fuser in the Cloud

The ˜Fuser' is the name of the SWIM data integration service that has been built, utilized and evolved on ATD-2 to synchronize trajectory predictions from multiple decision support tools. NASA is researching ways to make this data stream available for broader consumption as an example implementation that would help reduce the burden for consumers while enabling access to data that would help industry prepare and innovate for TFDM (e.g. integrates TTP feed).
On Propagation Criteria of Some Classes of Boolean Functions

The denition of the propagation criterion of Boolean functions was introduced by Bart Preneel and co-authors. This concept represent a set of vectors, for which the corresponding derivatives of a Boolean function are balanced.  It characterizes the statistical properties of a family of Boolean function  derivatives that play an important role in the cryptosystem analysis and  synthesis. For some classes of Boolean functions, the propagation criterion  determines their extreme properties. For example, the propagation criterion of bent functions determines their maximum nonlinearity. However, the main disadvantage of bent functions is the lack of balancedness, which means that  such functions do not have a uniform output distribution. The construction of  balanced Boolean functions having a high nonlinearity and a large number of  vectors satisfying the propagation criterion is still an open problem in  cryptography. In this paper we obtain exact values and estimates of the number  of vectors satisfying the propagation criterion of Boolean functions from well- known cryptographic classes, such as plateaued functions, Maiorana-McFarland  functions, quadratic functions, algebraic degenerate functions and multiane  functions. We also show that the number of vectors satisfying the propagation  criterion is an invariant for the extension of the general affine group of the first  degree.
Ontology-based Approach for Laptop Semantic Knowledge Representation

The rapid development of technology requires everyone to adapt. It is the same as the demands of work and school so that everyone should be more able to handle this problem. It is inevitable that the use of laptops today is not something that is a step. Almost all age groups use laptops to do school work, complete office work, or as a medium of entertainment. With so many types of laptops, some people are confused about choosing a laptop. The use of ontology as an information representation technique is a solution to this problem. Ontology can present information or knowledge sources semantically and organize various information resources in a systematic and structured manner. In the development of this ontology will be made using the methontology method. Methontology is one of the ontology model development methodologies which has advantages related to a detailed description of each activity. In addition, methontology also has other advantages, namely the development of ontology that are now made usable for further system development. Therefore, this study is proposed to build an ontology model that represents knowledge about laptops.
USING YOUTUBE VIDEOS TO ENHANCE STUDENTS’ CREATIVITY ON FLTM CLASS

This study aimed to explore deeply about students experience how YouTube video can enhance students’ creativity toward make a good media for teaching in FLTM class. This research was classroom action research, subject of this study is fifth semester English students at class A. The number of students was 25 students with 4 men and 21 women consisting of 10 research subjects. The instrument of this study conducted two different instruments namely Test and Observation Sheet. The result of this study showed that the level of students’ creativity was improved from test in meeting I to test meeting II with the data analysis from Test and supported with Observation Sheet. The improvement of students’ score on tests meeting I and II was influenced by the situation in the class. Students' need was one of the main factors that can affect student scores to increase the level of creativity toward make a good media. This study really hopped the results of this study can have an impact on both parties, namely teachers and students as reference to provide progress in teaching quality specifically in the FLTM class.
LibGuides: OER Student Guide: Reading & Learning from Digital Texts: 5b. Highlighting & Taking Notes in ProQuest Ebook Central

Use this guide to help you learn to navigate your electronic textbooks and open educational resource materials.
Research Guides: Learning Tools - English: ENG 170 (Short Story & Novel)

The purpose of this learning tool is to help students learn to study for English class. The focus is on learning how to study efficiently using the study cycle and improving reading & note-taking strategies.
Estrategias de enseñanza aprendizaje en la educación superior post pandemia

Higher education universities applied strategies to optimize their teaching-learning process, becoming part of their daily post-pandemic work.
Sales Information System Women's Clothes Based on E-Commerce

The development of online shopping websites has increased to date. These developments make ideas as well as solutions for writers to participate in economic progress in the world of information technology. E-Commerce is the right choice for business development that is inclusive of buying and selling activities and is also becoming very fierce competition for businesses in Indonesia today. E-Commerce in general is an online market for buying and selling activities between business owners, customers, and visitors through the internet. As for the increasing trend of Muslim women's clothing that more and more types and models make the writer want to combine these ideas to create a web E-Commerce. Web-Based Muslim Clothing Sales Information System E-Commerce chosen by the author is designed using the Java programming language, which is a high-level object-oriented programming language, using the waterfall model which has steps - Analysis of software requirements analysis, system design programming, testing and supporting and maintaining. In this method, the program is designed because this method is very easy to implement.
Загадочная сила притяжения. Творчество Валентины Поликаниной: теория и практика анализа

Zhigalova Maria Petrovna. Mysterious force of attraction. The work of Valentina Polikanina: theory and practice of analysis
An implementation of decision tree algorithm augmented with regression analysis for fraud detection in credit card

Credit card fraud is a common crime committed with the aid of credit card to defraud people of their funds during transaction. The intension of fraudsters most times is to obtain goods without payment or to get funds from unauthorized accounts. Of recent, the use of credit card to complete transactions is on the rise because of the introduction of online shopping and banking. Although, there are several fraud detection systems proposed by previous studies, yet, credit card fraud is still on the increase. Some techniques used in detecting credit card fraud have been compromised due to improvement in technology. Many studies that used decision tree to build detector system did not use regression analysis. This study presented a decision tree algorithm augmented with regression analysis to build a very strong fraud detector system. The system covers all areas in terms of monitoring and reporting fraud in credit cards. The analysis of result here shows that this technique is 81.6% accurate with 18.4% misclassification error and the system successfully verified all the injected intrusions used for the purpose of testing.
Determinants of National Saving in Ethiopia

This research investigates the determinants of national saving in Ethiopia over the period 1984-2014.The main objective of the study is to identify the major factors that determine national saving in Ethiopia.The ordinary least square estimation method was used to arrive at the results of the study.The result of the long run and short run models revealed that Real Gross Domestic product, investment, consumption and inflation have shown similar relationship in both models.Real Gross Demotic product is the only factor which affects national saving significantly and positively.Other factors, which positively affect national saving, are not much significant.Example, investment, consumption and inflation are factors which affects national saving both positively and in significantly in the end.
LibGuides: 53rd Annual CBHL 2021 Meeting: 53rd Annual CBHL Business Meeting

Program and schedule the 53rd meeting of the Council on Botanical and Horticultural Libraries in Washington D.C., May 5-7, 2021
Единство эпистемологии и онтологии как реальные основания научного реализма

Epistemology and ontology are usually regarded as independent philosophical disciplines. However, the idea of their unity provides the basis for the correct interpretation of the concept of scientific realism as the development of the idea of methodological unity in science, which allows one to distinguish various subject areas, but approach them uniformly. Thus, scientific realism is associated with scientific practice as the idea of a single interpretation of phenomena using appropriate theoretical tools.
NASA Explores “Smart” Data for Autonomous World

To provide these autonomous aircraft with useful data, NASA’s aeronautical innovators will experiment with what are called edge nodes.
Adopción de la tecnología Blockchain en turismo: modelo conceptual basado en teoría fundamentada

This study aims to move forward a blockchain tourism research and add understanding regarding blockchain adoption in the tourism industry. Grounded theory method based literature review was applied as a research methodology. Based on the literature review, the authors developed a conceptual model of blockchain adoption in tourism by defining casual, context, intervening conditions that affect blockchain adoption and outlining the consequences of blockchain adoption on the tourism sector. This research will contribute to the blockchain adoption literature as well as will give answers to the industry practitioners on how this innovative technology can be adopted and whether it worth investments or not.
The Effect of Feature Selection on Music Genre Classification

One of the things that affects classification results is the correlation of features to the class of a data. This research was conducted to determine the effect of the reduction of features (independent variable) that have the weakest correlation or have a distant relationship with the class (dependent variable). Bivariate Pearson Correlation is used as a feature selection method and K-Nearest Neighbor is used as a classification method. Results of the test showing that, 75.1% average accuracy was obtained for classification without feature selection, while using feature selection, average accuracy was obtained in the range of 75% - 79.3%. The average accuracy obtained by the selection of features tends to be higher compared to the accuracy obtained without selection of features.
The Patent Map of a Measuring Cup

People use measuring cups to measure the required portion of liquid when making bread. Traditional measuring cups have indicia marked on the side such that they are difficult to read when the user is unable to bend his or her body or hold the cup firmly in the hand. However, the OXO measuring cup overcomes this problem by having at least one ramp formed radially inward on the inside surface of the measuring cup. The indicia on the upward surface of the ramp allow the user to look downward into the measuring cup, thereby eliminating the need to look horizontally at the cup at eye level. The design is shown in patent US6263732. This article carries out a further analysis of this invention by tracing its forward and backward citations to build a simple patent map of technology development of the measuring cup. Three patents, namely US4073192, US4566509, and US5588747, are chosen from 16 backward citations, while another three patents, namely US7306120, US8517219, and US9354098, are chosen from 25 forward citations. The analysis of these three backward citation patents shows that although various functions such as adjustable volume, thermometer, and so on can be added to the measuring cup, no measuring cup has ever discussed the issue of easy visibility as the OXO measuring cup does. In addition, three forward citations show that various methods have been invented to meet the need for easy visibility by using different structures such as a ramp or ladders. It is clear from the analysis that inventive principles 17, another dimension, and 32, optical change, are applied in those inventions. A trend of surface segmentation (Mann, 2002) can be found from US6263732 to US9354098, where the ramp in US6263732 is a flat surface, whereas US9354098 uses a more advanced design in which the ramp is a 3D protrusion, allowing the reverse side of the measuring cup to be used to measure the quantity of fluid too.
VUT Libraries: Faculty of Applied and Computer Sciences: How to Access Past Examination Papers

This guide contains genral library information for the Faculty of Applied and Computer Sciences. This guide will show steps to follow on how to access past examination papers
Geochemistry and tectonomagmatic setting of volcanic rocks of Qoyjeh Yeylaq area (South of Qeydar), Zanjan Province

Qoyjeh Yeylaq volcanic rocks is located approximately in the 120 km southwest of Zanjan, within the Central Iranian zone. The rock units in this area belong to the Cenozoic which consist of mainly Oligo-Miocene volcanic (Basaltic- andesitic lavas) and sedimentary rocks. Based on geochemical classification, the mentioned volcanic rocks are basalt, basaltic andesite and andesite in composition, and have calc- alkaline to high-K calc-alkaline affinity. In the primitive mantle normalized spider diagrams, all of the volcanic rocks show similar patterns with enrichment in LILE (Ba, Th, K, Pb) and negative anomalies of HFSE (Nb, Ti). These rocks show LREE enrichment relative to HREE and high ratio of LREE/HREE. Based on tectonomagmatic discrimination diagrams these volcanic rocks were formed in a continental arc setting. Based on geochemical data, it seems that volcanic rocks of the Qoyjeh Yeylaq area were formed from 5-20 % partial melting of a garnet- spinel lherzolite enriched mantle by subduction of Neo-Tethys under the central Iran, within the Orumieh- Dokhtar magmatic arc.
Large-scale memory failure prediction using mcelog-based Data Mining and Machine Learning

In the data center, unexpected downtime caused by memory failures can lead toa decline in the stability of the server and even the entire informationtechnology infrastructure, which harms the business. Therefore, whether thememory failure can be accurately predicted in advance has become one of themost important issues to be studied in the data center. However, for the memoryfailure prediction in the production system, it is necessary to solve technicalproblems such as huge data noise and extreme imbalance between positive andnegative samples, and at the same time ensure the long-term stability of thealgorithm. This paper compares and summarizes some commonly used skills and theimprovement they can bring. The single model we proposed won the top 15th inthe 2nd Alibaba Cloud AIOps Competition belonging to the 25th Pacific-AsiaConference on Knowledge Discovery and Data Mining.
SVMA: A GAN-based model for Monocular 3D Human Pose Estimation

Recovering 3D human pose from 2D joints is a highly unconstrained problem, especially without any video or multi-view information. We present an unsupervised GAN-based model to recover 3D human pose from 2D joint locations extracted from a single image. Our model uses a GAN to learn the mapping of distribution from 2D poses to 3D poses, not the simple 2D-3D correspondence. Considering the reprojection constraint, our model can estimate the camera so that we can reproject the estimated 3D pose to the original 2D pose. Based on this reprojection method, we can rotate and reproject the generated pose to get our new 2D pose and then use a weight sharing generator to estimate the new 3D pose and a new camera. Through the above estimation process, we can define the single-view-multi-angle consistency loss during training to simulate multi-view consistency, which means the 3D poses and cameras estimated from two angles of a single view should be able to be mixed to generate rich 2D reprojections, and the 2D reprojections reprojected from the same 3D pose should be consistent. The experimental results on Human3.6M show that our method outperforms all the state-of-the-art methods, and results on MPI-INF-3DHP show that our method outperforms state-of-the-art by approximately 15.0%.