Reviewerly/exHarmony huggingface dataset:
Methods for the Design and Evaluation of HCI+NLP Systems.

HCI and NLP traditionally focus on different evaluation methods. While HCI involves a small number of people directly and deeply, NLP traditionally relies on standardized benchmark evaluations that involve a larger number of people indirectly. We present five methodological proposals at the intersection of HCI and NLP and situate them in the context of ML-based NLP models. Our goal is to foster interdisciplinary collaboration and progress in both fields by emphasizing what the fields can learn from each other.
DanNet2: Extending the coverage of adjectives in DanNet based on thesaurus data (project presentation)

The paper describes work in progress in the DanNet2 project financed by the Carlsberg Foundation. The project aim is to extend the original Danish wordnet, DanNet, in several ways. Main focus is on extension of the coverage and description of the adjectives, a part of speech that was rather sparsely described in the original wordnet. We describe the methodology and initial work of semi-automatically transferring adjectives from the Danish Thesaurus to the wordnet with the aim of easily enlarging the coverage from 3,000 to approx. 13,000 adjectival synsets. Transfer is performed by manually encoding all missing adjectival subsection headwords from the thesaurus and thereafter employing a semi-automatic procedure where adjectives from the same subsection are transferred to the wordnet as either 1) near synonyms to the section’s headword, 2) hyponyms to the section’s headword, or 3) as members of the same synset as the headword. We also discuss how to deal with the problem of multiple representations of the same sense in the thesaurus, and present other types of information from the thesaurus that we plan to integrate, such as thematic and sentiment information.
Uji Konsep Paralel Svm Dengan Dekomposisi Smo Pada Data Set Microarray

AbstrakSupport Vector Machine (SVM) adalah metode yang andal untuk melakukan klasifikasi dan regresi terutama dalam supervised machine learning. Akan tetapi SVM memiliki masalah skalabilitas dalam waktu komputasi dan penggunaan memori. Oleh karena itu banyak diusulkan Parallel Support Vector Machine(PSVM) untuk menambang data yang besekala besar. Pada penelitian ini penulis melakukan uji konsep PSVM dengan dekomposisi SMO yang dapat mendeteksi dan mengklasifikasika kanker dengan menggunakan data microarray. Penulis menerapkan teknik Sequential Minimal Optimization (SMO) yang menggunakan lagrange multipliers menyelesaikan masalah quadratic programming (QP) yang muncul selama pelatihan. Untuk menguji konsep dekomposisi SMO, data set akan dipecah ke dalam beberapa subset kemudia melakukan pelatihan SMO setiap subset secara independen dan menggabungkan setiap hasil pelatihan ke dalam satu model klasifikasi SMO. Evaluasi dilakukan dengan membandingkan akurasi dan performan dekomposisi SMO dan non-dekomposisi SMO. Evaluasi menghasilkan akurasi dekomposisi SMO 75% dan non-dekomposisi SMO 63% serta waktu pelatihan dekomposisi SMO 5.7 kali lebih cepat daripada non-dekomposisi SMOKata kunci : Microarray, Suport Vector Machine (SVM), Parallel Suport Vector Machine (PSVM), Sequential Minimal Optimization(SMO), MicroarrayAbstractSupport Vector Machine (SVM) is a reliable method for performing classification and regression especiallyin supervised machine learning. However, SVM has scalability issues in compute time and memory usage. Therefore, there are many proposals for Parallel Support Vector Machine (PSVM) for mining large-scale data. In this study, the authors conducted a PSVM concept test with SMO decomposition that could be handled and classified cancer using microarray data. The author applies the Sequential Minimal Optimization (SMO) technique which uses lagrange multipliers to solve quadratic programming (QP) problems that arise during training. To test the concept of SMO decomposition, the data set will be broken down into several subsets and then independently conduct SMO training for each subset and combine each training result into one SMO classification model. Evaluation is done by comparing the accuracy and performance of SMO decomposition and non-decomposition SMO. Evaluation increased SMO decomposition 75% and non-SMO decomposition 63% as well as SMO decomposition training time 5.7 times faster according to non-SMO decompositionKeywords: Microarray, Suport Vector Machine (SVM), Parallel Suport Vector Machine (PSVM), Sequential Minimal Optimization(SMO)
The Plot Coherence as a Generalization of the Causality Principle

In connection with the growing manifestations of the systemic crisis of civilization – ideological, ecological and socio-economic, there is an urgent need for a holistic spiritual and psychophysical picture of the world, called ‘the plot-game’ by the author. The author investigates the concept of ‘causality’ within the frame of this paradigm, and then shows the expediency of generalizing it to the concept of ‘plot coherence’, which opens up new possibilities for applying the plot-game methodology. The methodology and methodology of the research are based on the categorical apparatus of the story-game paradigm, the main feature of which, the novelty, is the proposal to add a third parameter to the space-time model of the world – the individual, who at each moment perceives the first two aspects – space and time – in his own way as a certain plot. Thus, the art-historical concepts of plot, scenario and game are generalized to the level of ideological universals and at the same time natural-scientific terms – ‘cross-cutting’ units of Being. It is shown that we see each object under study as a participant in the flow of story cycles, and its essence is the roles that it ‘played’, can play and will play in them, and which are reflected in its genetic and acquired scenarios. The plot stream of events is formed as the resultant of the attempts of all its participants to implement their own behavior scenarios, generated mainly automatically with the help of programs for processing all incoming information, which are formed from the moment of birth in each individual. On the basis of the story-game paradigm, the concept of causality is expanded to plot coherence, and it can be applied both in natural science and in the humanities. In the proposed model of communal reality, the rigid opposition of science and art is removed, since both there and here, as in ordinary life, we not only learn, discover, and observe something ‘from the outside’, but continuously reproduce, create the world and ourselves in it, regardless of our awareness of this fact; and the story-game picture of the Universe and its corresponding approach make it possible to realize the dependence of the ‘world plot’ on our ‘scenarios’ and games, to feel the responsibility for the future in each of our steps.
LibGuides: LGBTQ+ Life & Literature: Home

This guide was created to provide reading recommendations, community resources, and cultural information for members of the LBGTQ+ community and their allies.
A Novel Solution of Using Mixed Reality in Bowel and Oral and Maxillofacial Surgical Telepresence: 3D Mean Value Cloning algorithm

Abstract Background and aim Most of the Mixed Reality models used in the surgical telepresence are suffering from the discrepancies in the boundary area and spatial‐temporal inconsistency due to the illumination variation in the video frames. The aim behind this work is to propose a new solution that helps produce the composite video by merging the augmented video of the surgery site and virtual hand of the remote expertise surgeon. The purpose of the proposed solution is to decrease the processing time and enhance the accuracy of merged video by decreasing the overlay and visualization error and removing occlusion and artefacts. Methodology The proposed system enhanced the mean value cloning algorithm that helps to maintain the spatial‐temporal consistency of the final composite video. The enhanced algorithm includes the 3D mean value coordinates and improvised mean value interpolant in the image cloning process, which helps to reduce the sawtooth, smudging and discoloration artefacts around the blending region Results As compared to the state of art solution, the accuracy in terms of overlay error of the proposed solution is improved from 1.01mm to 0.80mm whereas the accuracy in terms of visualization error is improved from 98.8% to 99.4%. The processing time is reduced to 0.173 seconds from 0.211 seconds Conclusion Our solution helps make the object of interest consistent with the light intensity of the target image by adding the space distance that helps maintain the spatial consistency in the final merged video. This article is protected by copyright. All rights reserved.
Library: Textbook Adoption: How to Request a Desk Copy

Instructions for faculty on adopting new textbooks for their course Instructions for requesting textbook desk copies
Kinerja Gateway Berbasis XMPP untuk Layanan Komunikasi pada Perangkat IoT

In this study, we build a communication Gateway to support inter-device connection and communication which is needed by the IoT system. The purpose of this system is to make the IoT device can connect with each other using internet connection. From the experiment result, we can see that the connecting IoT devices can communicate by sending request-response messages. The experiment result also shows that during the data transmission process, the CPU usage has increased for at least 12%, and memory usage has inclined stably.
APLIKASI DAN PERANCANGAN SISTEM INFORMASI MONITORING KINERJA MARKETING BERBASIS WEB

The purpose of this final project is to describe the use of information system web as an alternative data report for monitoring marketing performance at PT Bank Mandiri (Persero) Tbk, as for the background of this writing because every bank needs a work prospect plan, the target to be achieved , incentives to be obtained, so that marketing can work optimally and without any wasted days, this application can also be used as a report that has been validated by the unit's monitor so that it can be used as material for the end of the month as a manager's accountability report bank to top management.
Primacy of the Ear – But Whose Ear?: The Casefor Auraldiversity in Sound and Music Practice and Discourse

60 years on from Pierre Schaeffer’s call for ‘primacy of the ear ’ [‘primaute de l’oreille’] (Schaeffer 1957) and Denis Smalley’s reassertion of ‘the primacy of aural perception’ (Smalley 1986) in music theory and composition, this presentation asks an ostensibly simple question: whose ear is implied when we talk of and compose under this fundamental principle? Is there a tacit audiometric norm, the ‘otologically normal’—an acoustics standard from which A-weighted decibels is based (ISO 226:2003) – or even a pair of golden ears, at its core? And if a music is predicated on a specific auditory acuity, where does this leave the audience. With reference to his own practice and hearing, the author will tackle the above issues. In conclusion the concept of auraldiversity is proposed and creative strategies that eschew or problematise auraltypical archetypes in sound and music and related theory are encouraged.
Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model

The rapid rise of online social networks like YouTube, Facebook, Twitter allows people to express their views more widely online. However, at the same time, it can lead to an increase in conflict and hatred among consumers in the form of freedom of speech. Therefore, it is essential to take a positive strengthening method to research on encouraging, positive, helping, and supportive social media content. In this paper, we describe a Transformer-based BERT model for Hope speech detection for equality, diversity, and inclusion, submitted for LT-EDI-2021 Task 2. Our model achieves a weighted averaged f1-score of 0.93 on the test set.
PENGEMBANGAN APLIKASI JASA PEMANDU WISATAMENGGUNAKAN METODE FEATURE DRIVEN DEVELOPMENT

Today, technology and tourism are increasingly developing in Indonesia, but there is few information services provide as a reference standard of tourists and guides to obtain guide service information. Usually tourists look for guide service information by accessing Google or accessing forums for outdoor activities on social media. We need information that can be a reference standard or facilitate tourists and guides related to the information of guide services that can be seen in completed, clear and up to date. GuideMe application is designed using a feature driven development method which is an agile process that refers to code documents in the form of features that make it easier for developers and clients to get an idea of the system that is being worked on. Develop the overall model, build features and plans based on features done before development work begins, while design based on features and build on features afterwards. The design results are implemented in mobile applications that are easy to use so that it will optimize the work of capable and experienced tour guide services
LibGuides: Library Faculty Survey 2021: FAQs (Frequently Asked Questions)

Information about the CU Library faculty survey. For more powerful, focused searching of the catalog.
Analisis Kualitas Pelayanan Jasa Pada Salon dan Spa Muslimah Baiti Ummi Disungai Jawi Kota Pontianak

study discusses the quality or service by using five dimensions, namely Tangibles, Reliability, Responsiveness, Assurance, and Empathy at the Salon and Spa Muslimah Baiti Ummi. The research method used is the descriptive quantitative method while the population and sample used are costumers or consumers in the Salon and Spa Muslimah Baiti Ummi and the distribution of questionnaires as many as 76 respondents.Collecting data using the method of observation, interviews and questionnaires. The data analysis used was the mean test, Tki analysis, validity test, and reliability test.Based on the results of research on the Salon and Spa Muslimah Baiti Ummi it is said to be good. This can be seen from the results of the analysis with the amount of data as many as 76 respondents which can be seen from the average level of importance that is 4.04 and while the average value og the performance level is 4.02. So the level of conformity between the level of performance og the Salon and Spa Muslimah Baiti Ummi with the level of importance hat not fully achieved customer expectations because the conformity level is less than 100%. Key Words: Quality of Service (Tangible, Reliability, Responsivensess, Assurance, and Empathy)
LibGuides: Human Library at UCA: For Readers

The University of Central Arkansas will host a Human Library event on April 14, 2020 in Torreyson Library Description of what to expect at the Human Library Event.
Hybrid fuzzy c-means clustering algorithm and multilayer perceptron for increasing the estimate accuracy of the geochemical element concentration case study: eastern zone of porphyry copper deposit of Sonajil

Pattern recognition methods are able to identify the hidden relationships between exploration data, especially in the case of limited number of data. The geochemical distribution patterns of the elements are identified and generalized using these methods. Multilayer perceptron, MLP, is one of the pattern recognition methods which is used for the estimation of geochemical element concentrations in mineral deposit studies. In the current study, multilayer neural network was used to estimate the concentration of geochemical elements based on 1755 surface and borehole samples, analyzed by ICP. Fuzzy c-means, FCM, clustering algorithm was used to increase the neural network estimation accuracy. The optimal number of clusters in the dataset was identified by validation indices and was used to design estimator. The clustering data on average showed an increase of 13% accuracy compared to normal mode. The average accuracy was increased from 75 percent to 88 percent. Elements with the lowest estimation accuracy showed an acceptable increase on the estimation accuracy by using clustering data. Mean squared error was 0.079 using all data and decreased to 0.025 while using hybrid developed method.
LibGuides: Next Generation Integrated Library System: Alma and Primo VE: Home

This guide includes information about the new next-generation Integrated Library System that is now live!
Research and design of distributed key-value storage system based on Raft consensus algorithm

Abstract With the rapid development of the Internet, data storage technology has gradually become a major research field in the industry. But stand-alone storage has poor performance in terms of consistency or fault tolerance. Therefore, a new type of key-value storage system for unstructured data storage is widely used. This article mainly researches and designs a distributed key-value storage system based on the Raft consensus algorithm.
Classifying Multilingual Text in Quality Assurance

Machine learning systems play an important role in helping and assisting engineers in their daily activities. Many jobs can now be automated, and one of them is in handling and processing customers’ complaints before they could proceed with failure investigation. In this paper, we discuss a real-life challenge faced by the manufacturing engineers in a life science multinational company. This paper presents a step by step methodology of multilingual translation and multiclassification of Repair Codes. This solution will allow manufacturing engineers to take advantage of machine learning model to reduce the time taken to manually translate row by row and verify the Repair Codes in the file.
Research Guides: CJ 4880: Qualitative Research Methods in Criminal Justice: Search Strategies

Includes research strategies and recommended library resources for UVU students taking CJ 4880.
LibGuides: Online Databases and Electronic Resources: Science

Find databases and other resources for researching that school project. Databases & Electronic Resources
LibGuides: National Library Week: Welcome to Your MDC Library

April 4-10, 2021 is National Library Week, a time to highlight the essential role libraries, librarians and library workers play in transforming lives and strengthening communities.
Communication is a bridge of meaning in human resource management

Communication is the act or process of giving or exchanging of information, signals, messages, gesture, writing, etc. Communication is used in human resources to relay information from directors to employees. Communication is the key role in human resource Management. It is the human resources department's responsibility to hire effective employees and prepare those employees to perform assigned tasks correctly. Good communication is an important part of motivating employees. Every individual must know the art of communication, every act of communication influences the organization in some way or other. Effective Human Resource contributes to learning, teamwork, safety, innovation and improved productivity across the organization.
Library Guides: Money Smart Week: Home

Each year, Gerogia Southern Libraries celebrates Money Smart Week with information and presentations for students on good financial habits.
The Effectiveness of Blog Aided Problem Based Learning Model on Learning Outcomes of Class IV Social Studies Content

Based on the result of research in the form of observation, interviews, and data on learning outcomes conducted in the fourth grade students at Nyi Ageng Serang Cluster Elementary school in Semarang, it was known that the social studies learning outcomes were not optimal because the learning model and media used were also not optimal. Although the teacher had used problem-based learning model, the students still had difficulties to identify problems and the media in the form of A4 print out pictures were not enough to help them. This study aimed to test the effectiveness of problem-based learning model assisted by blog media on the social studies learning outcomes in fourth grade students at Nyi Ageng Serang Cluster Elementary School in Semarang. This research used quantitative approach with the experimental type and nonequivalent control group design. The sample technique used cluster random sampling, with population of 172 students. The data collection used tests, observations and documentation. The hypothesis test result showed that the value of tcount = 4.007, and ttable = 2.009, because tcount Eƒ ttable (4.007 Eƒ 2.009) which means that the problem based learning model assisted by blog media was effective to increase the social studies learning outcomes of the fourth grade students. The n-gain test result of the experimental group was 0.40 categorized in medium criteria, whereas the n-gain test result of control group was 0.15, categorized in low criteria. The observation of students' activities using observation sheets showed the average score of the activity of experimental class students was 82%, which is better than the control class that only got 64%. The conclusion of this research is that the problem-based learning model assisted by blog media was effectively used in social studies learning in fourth grade students at Nyi Ageng Serang Cluster Elementary School in Semarang.
The Effect of Teaching Approaches and LinguisticIntelligence on the Students Achievement in ReadingComprehension

This research focused on the students ability inreading comprehension because reading comprehension is afundamental for english foreign learner in observing newinformation and knowledge. Thus, this study was going to findout the effect of teaching approaches and linguistic intelligenceon the students achievement in reading comprehension. Thisstudy would be carried out by applying a quantitative method.The Population of this research was all the students of grade tenin senior high school of SMA Angkasa Medan. The sample ofresearch was taken by cluster random sample technique. Theresult of this study revealed that the students with highintelligence, it can be concluded that there is an interactionbetween teaching approaches and linguistic intelligence on thestudents achievement in reading comprehension
Evaluation of Online Education Delivered by the Universities During Pandemic COVID-19: A Case of North Cyprus

Universities skipped from face-to-face education on campuses to online education worldwide due to the outbreak of COVID-19 started in December 2019 But it remains unclear how effective online education was, given that most instructors and students had little experience with online education and with lack of technological resources This study aimed to evaluate the online education offered by the universities during Pandemic COVID-19 Mixed research was conducted with randomly selected 500 university students and 24 instructors from various universities in North Cyprus between April 2020–August 2020 Students agreed with the 30 benefits of online education, and they stated serious obstacles that they faced during online lectures Instructors mentioned their online teaching experiencesand the obstacles they faced during the pandemic Also, participant instructors made some suggestions for the government, universities, and instructors to improve and ensure the effectiveness of online education This type of in-depth research can be carried out by all universities globally and the data will help all education leaders and management of the universities to determine the weak and strong points of their online education and re-manage and redesign their online education to meet the needs of students Universities can produce solutions to mitigate their problems in online education and increase the quality of online education which can be accessed by all students