Reviewerly/exHarmony huggingface dataset:
LibGuides: BKM Guide to Museums in Lancaster County: Creating an Account & Placing Holds Online

Learn about the many museums Lancaster county has to offer, including some you can visit for free with a pass from your local library! This guide is meant to give you step-by-step instructions on how to create an online account so that you can search our catalog and place holds from home. It also provides instruction on resetting your online password, what to do if you can't find the ite
Sentiment analysis of twitter data using Machine learning algorithms

The rapid increase in usage of Technology has changed the way of expressing people’s opinions, views and Sentiments about specific product, services, people and more, by using social media services such as Facebook, Instagram and Twitter. Due to this is massive amount of data gets generated. To find insights from this Data generated and make certain decision we implement web application that collects twitter data and shows it indifferent statistical forms. The main objective of the work presented with in this paper was to design and implement twitter data analysis and visualization in Python platform. Our primary approach was to focus on real-time analysis rather than historic datasets. Twitter API allow for collecting the sentiments information in the form of either positive score, negative score or neutral. We show the application of sentimental analysis and how to connect to Twitter and run sentimental analysis queries. We run experiments on different queries from politics to humanity and show the interesting results. We realized that the neutral sentiment for tweets are significantly high which clearly shows the limitations of the current works. this study focuses mainly on sentiment analysis of twitter data which is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous and are either positive or negative, or neutral in some cases. In this paper, we provide a survey and a comparative analyses of existing techniques for opinion mining like machine learning and lexicon-based approaches, together with evaluation metrics. Using various machine learning algorithms like Naive Bayes, XGBoost Classifier and Support Vector Machine, we provide research on twitter data streams. We have also discussed general challenges and applications of Sentiment Analysis on Twitter.
LibGuides: Art 121 (FYS): Evaluate Websites

Library guide to the ART121 FYS Your Future assignment, coupled with an introduction to some information literacy concepts.
Authenticating API Clients

In this chapter, I explain how ASP.NET Core Identity can be used to authenticate API clients using a simple JavaScript application. Some projects can rely on standard ASP.NET Core user authentication for their clients, and I demonstrate how this works. For other projects, I explain how to provide authentication using cookies and using bearer tokens, which are useful for clients that don’t support cookies. Table 12-1 puts API authentication in context.
CIES: Clinic Temporal Information Extraction System

Temporal information extraction is important to understand the text in clinical documents. Extracting temporal courses of clinical events from a patient’s electronic health records may present structured information of the patient’s symptoms, diagnosis, and treatments etc. in the actually occurring order. We have developed the clinic temporal information extractor, an easy-to-use standalone application, which can automatically extract such information and mitigate the difficulty of analyzing tremendous clinical data. This extractor is able to extract temporal expressions and events with their attributes and relations. The system has been tested on the colon cancer data and brain cancer data of Semeval 2017 Clinical TempEval data and achieves the top performance comparable to the state of the art. It achieves 0.62 F-measure for the temporal expression extraction, 0.73 for event extraction and 0.59 for document time relation extraction
Anatomy the Development Plan of University Teaching Management System in the Big Data Era

The most important feature of the big data era is the collection, integration and utilization of massive data. Having big data but not taking full advantage of it is a common problem in many organizations. Under this goal, the first task is to establish a data platform, and the teaching management system and the teaching quality in the data platform have the closest relationship. The learning management system makes it easier for teaching managers to obtain data, analyze and analyze it to help improve the quality of teaching, but it also brings new problems. Facing the problems encountered in the use of the current teaching management system, we need to start from several aspects, such as technology and personal, to maximize the effectiveness of the teaching management system to assist in the use of teaching management. This article mainly discusses the application of big data in university teaching management system, and applies it to the development planning of university teaching management. The experimental results show that the use of big data technology plays an irreplaceable role in the development planning of university teaching management systems.
Hierarchical Transformer for Multilingual Machine Translation.

The choice of parameter sharing strategy in multilingual machine translation models determines how optimally parameter space is used and hence, directly influences ultimate translation quality. Inspired by linguistic trees that show the degree of relatedness between different languages, the new general approach to parameter sharing in multilingual machine translation was suggested recently. The main idea is to use these expert language hierarchies as a basis for multilingual architecture: the closer two languages are, the more parameters they share. In this work, we test this idea using the Transformer architecture and show that despite the success in previous work there are problems inherent to training such hierarchical models. We demonstrate that in case of carefully chosen training strategy the hierarchical architecture can outperform bilingual models and multilingual models with full parameter sharing.
The Effect of Curriculum based on Virtual Reality on Primary School Students' Problem Solving Perception and Academic Achievement

The aim of this study was to determine the effect of virtual reality-based curriculum on problem-solving perceptions and academic achievement of sixth grade elementary students in science. The method of the present study was quasi-experimental and the pretest-posttest research design was with a control group. The statistical population included all sixth grade elementary school students in Tabriz and the statistical sample, due to its semi-experimental nature, included 30 people (15 in the experimental group and 15 in the control group). The experimental group consisted of students who were exposed to education based on a virtual reality-based curriculum model, and the control group consisted of students who were exposed to conventional school education. Hepner and Patterson (1982) problem-solving perception questionnaire and teacher-made academic achievement test were used to collect information. The research data were analyzed using multivariate and univariate Analysis of Variance. Findings showed that virtual reality education has a positive effect on all three components of problem-solving perception (self-confidence, closeness to the problem and personal control) and academic achievement. Therefore, by using virtual reality-based curricula, students' problem-solving perception and academic achievement can be increased
PELATIHAN PERAWATAN SOFTWARE PADA APARAT DESA KECAMATAN GAMBUT KABUPATEN BANJAR

For a sub-district that has twelve villages and two sub-districts, the village officials have each computer or laptop in each computer every day. software maintenance process needs to be done to make computer performance more stable. If so far they have only done software maintenance services to computer technicians. Then with the dedication of our software maintenance training in the Banjar district's peat district office, it is expected to improve the performance of the computer software of village officials in the peat sub-district, so that at later the village apparatus that we have trained in the maintenance of this software can re-train the village community.Keywords: Software Maintenance, Computer Performance, Computer Technician
Creating a Role Store

In this chapter, I create and use a role store. As earlier chapters have shown, Identity doesn’t need a role store to use roles, and the use of a role store is entirely optional and the features that are provided are not needed in most projects. That said, a role store can be a useful way to ensure that roles are used consistently. Table 19-1 puts role stores in context.
Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features

In this paper, we analyze the impact of the weighted concatenation of TF-IDF features for the Arabic Dialect Identification task while we participated in the NADI2021 shared task. This study is performed for two subtasks: subtask 1.1 (country-level MSA) and subtask 1.2 (country-level DA) identification. The classifiers supporting our comparative study are Linear Support Vector Classification (LSVC), Linear Regression (LR), Perceptron, Stochastic Gradient Descent (SGD), Passive Aggressive (PA), Complement Naive Bayes (CNB), MutliLayer Perceptron (MLP), and RidgeClassifier. In the evaluation phase, our system gives F1 scores of 14.87% and 21.49%, for country-level MSA and DA identification respectively, which is very close to the average F1 scores achieved by the submitted systems and recorded for both subtasks (18.70% and 24.23%).
Working with images and emoji in the Dukki Facebook Corpus

In this chapter, I demonstrate how researchers can incorporate image content and emoji into corpus approaches to social media data. I present data from the Facebook Page of Dukki Gifts & Souvenirs, an independent business based in Nottingham, U.K. and, using a simple annotation scheme, I show how researchers can incorporate image content and emoji into frequency and collocation analysis in order to examine the patterns of use for images in this dataset. I discuss some of the adjustments required to extend approaches conventionally applied to written forms of data to image content, including how this might affect the way we think of core concepts, such as collocation.
AN ANALYSIS OF ENGLISH LECTURERS PERCEPTION ON DISTANCE LEARNING DURING COVID-19

The aims of this research are to investigate the lecturers' perception on distance learning during covid-19 and to find out the lecturers' obstacles in selecting and applying distance learning during covid-19. The subject of this research were five lecturers of English department at STKIP Bina Bangsa Getsempena Banda Aceh. This research implemented qualitative descriptive approach in gaining data, by using interview and questionnaire. The data were analyzed descriptively. The results showed that the lecturer perceived distance learning positively and negatively. First, the English lecturer considered that distance learning was a useful and effective medium or tool in the learning process, because it could send materials and assignments to students. Second, as motivation to teach. With distance learning, lecturers and students use technology such as computer, laptop and internet. Besides that, lecturers can also provide important information to students. Third, distance learning can develop ideas and creativity in learning English, then it can create a natural and comfortable environment to use. Lastly, the lecturers responded negatively, namely, distance learning made the lecturers fealt a little depressed and overwhelmed and even had difficulty delivering course material to students, the area did not interact directly and did not get feedback between lecturers and students.
LA-SACo: A Study of Learning Approaches for Sentiments Analysis inCode-Mixing Texts

Substantial amount of text data which is increasingly being generated and shared on the internet and social media every second affect the society positively or negatively almost in any aspect of online world and also business and industries. Sentiments/opinions/reviews’ of users posted on social media are the valuable information that have motivated researchers to analyze them to get better insight and feedbacks about any product such as a video in Instagram, a movie in Netflix, or even new brand car introduced by BMW. Sentiments are usually written using a combination of languages such as English which is resource rich and regional languages such as Tamil, Kannada, Malayalam, etc. which are resource poor. However, due to technical constraints, many users prefer to pen their opinions in Roman script. These kinds of texts written in two or more languages using a common language script or different language scripts are called code-mixing texts. Code-mixed texts are increasing day-by-day with the increase in the number of users depending on various online platforms. Analyzing such texts pose a real challenge for the researchers. In view of the challenges posed by the code-mixed texts, this paper describes three proposed models namely, SACo-Ensemble, SACo-Keras, and SACo-ULMFiT using Machine Learning (ML), Deep Learning (DL), and Transfer Learning (TL) approaches respectively for the task of Sentiments Analysis in Tamil-English and Malayalam-English code-mixed texts.
Diseño de actividades en la modalidad virtual

The purpose of this Virtual Learning Object is to provide relevant information about the design of activities in the virtual modality to improve the teaching-learning processes in virtual environments.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT BACA MAHASISWA TINGKAT PERTAMA PROGRAM STUDI SASTRA CINA UNIVERSITAS BUNDA MULIA (慈育大学初级阶段学生对汉语阅读课的兴趣与困难调查分析)

Reading is an activity that seems easy but actually is not. Different way of reading with the native language is what makes it difficult. Reading anything written in native language is at low level of difficulty, while reading a foreign language text is higher in the level of difficulty. Freshmen of Chinese Literature Studies Program also experience it. Therefore, the writer would like to get information on reading interest among freshmen of Chinese Literature Studies Program in Bunda Mulia University through questionnaires and data collection. The writer expect to study the ability and difficulties of the students in comprehensing a passage. It is founded that more students who like to read than those who don’t, and their ability to comprehend is also good. They found difficulties when they have to read Chinese character, which is unfamiliar for them. Sometimes students even forget how to read the Chinese character. Another boundaries are the lack of knowledge on the situation in China. Therefore, either techniques or materials to deliver to students should be adjusted to the situation and needs of students.
Generation of structured illumination for three-dimensional shape measurement using phase modulation

With the development of science and technology and industrial production, the application of three-dimensional shape measurement technology in the fields of machine vision, industrial monitoring, mechanical engineering and medical testing has become increasingly widespread. The optical three-dimensional shape measurement technology is a method that uses a series of optical methods to obtain the three-dimensional information of the measured object, and the structured light measurement method is a widely used measurement method. In the structured light measurement method, the generation of fringe patterns is a very important link. Here, we use holographic method to generate a fringe pattern whose period and phase can be easily modulated. First, a black and white fringe pattern with a certain spatial frequency is generated according to the cosine structured light period and phase. The spatial frequency of the black and white fringe is determined by the spatial frequency of the structured light to be generated and the magnification of the projection system. A prism phase that can cause lateral movement is applied to the black part of the black and white stripes, so that the light incident on the black area deviates from the optical axis to the first order of diffraction, while the light incident on other parts (without being modulated) continues to travel along the optical axis. In this way, the deviated beam is bright and dark, and finally structured illumination is obtained. Theories and experiments verify the effectiveness of the method. The method to generate fringe patterns is simple, fast, accurate and can be conveniently controlled, and can be well applied to three-dimensional shape measurement technology.
Adapting Identity UI

The Identity UI package has been designed for self-service applications that support authenticators for two-factor authentication and external authentication with third-party services. There is some flexibility within that design so that individual features can be altered or disabled, and new features can be introduced. In this chapter, I explain the process for adapting the Identity UI package, showing the different ways it can be customized.
TEACHERS INVOLVEMENT IN DEVELOPING COURSE OUTLINE AND INSTRUCTIONAL MATERIALS FOR K-12 BASIC EDUCATION PROGRAM

The general objective of this study is to determine the involvement in developing course outline and instructional materials for k-12 basic education program using descriptive design of research. The sampling design used was random sampling. Data for the study were collected using the questionnaire. Data were analyzed using measures of central tendency and statistics for social sciences. .Most of the respondents' ages from 32 to 41 years old, female, married, and college graduates. They were Teacher I. They were in service for one to five years handling 34 to 84 students per class. Almost all of them were subject teachers with no advisory class and other ancillary designation handling different grade levels and subjects. Respondents handling grades VII to IX were asked to attend the division, regional, and even national level training in their specific subjects that they were handling. The respondents cited that in the preparation of the course outline they were moderately involved, similarly the respondents were moderately involved in the development of the instructional materials for the K-12 program.
Penggunaan Metode Discovery untuk Meningkatkan Hasil Belajar Siswa pada Mata Pelajaran IPA di Mi Ma’arif NU Ajibarang Kulon

This research is motivated by the low learning outcomes of science class 5 subjects. This is because students seem less active in teaching and learning activities in class, there is no enthusiasm of students to learn, lack of enthusiasm in asking teachers. Many students consider science subjects to be difficult to understand, and many students are busy by themselves when the teacher explains science material in front of the class. The reason for these problems is that when teachers' learning activities dominate more than the students themselves. The purpose of conducting this research is that the learning outcomes of 5th grade students at MI Ma'arif NU Ajibarang Kulon, especially in science subjects using discovery methods can improve their learning outcomes. The object of this study was 5th grade MI Ma'arif NU Ajibarang Kulon students. In the process of collecting data in this research activity using observation, interviews, tests, and documentation. From this study shows that in activities with learning science by using the discovery method can improve learning outcomes of science in class 5 MI Ma'arif NU Ajibarang Kulon, and learning outcomes of science subjects indicated by the value of the results of the initial test, the first cycle test and cycle II has increased in each cycle. In the initial observation activity the number of students above the KKM only reached 41.66%, in the first cycle it rose to 68.18% and in the second cycle it increased again to 90.91%.
Simultaneous identification of joint stiffness, kinematic and hand-eye parameters of measurement system integrated with serial robot and 3D camera

Purpose This paper aims to propose a measurement principle and a calibration method of measurement system integrated with serial robot and 3D camera to identify its parameters conveniently and achieve high measurement accuracy. Design/methodology/approach A stiffness and kinematic measurement principle of the integrated system is proposed, which considers the influence of robot weight and load weight on measurement accuracy. Then an error model is derived based on the principle that the coordinate of sphere center is invariant, which can simultaneously identify the parameters of joint stiffness, kinematic and hand-eye relationship. Further, considering the errors of the parameters to be calibrated and the measurement error of 3D camera, a method to generate calibration observation data is proposed to validate both calibration accuracy and parameter identification accuracy of calibration method. Findings Comparative simulations and experiments of conventional kinematic calibration method and the stiffness and kinematic calibration method proposed in this paper are conducted. The results of the simulations show that the proposed method is more accurate, and the identified values of angle parameters in modified Denavit and Hartenberg model are closer to their real values. Compared with the conventional calibration method in experiments, the proposed method decreases the maximum and mean errors by 19.9% and 13.4%, respectively. Originality/value A new measurement principle and a novel calibration method are proposed. The proposed method can simultaneously identify joint stiffness, kinematic and hand-eye parameters and obtain not only higher measurement accuracy but also higher parameter identification accuracy, which is suitable for on-site calibration.
Using the Identity API

As I explained in Chapter 6, there are limits to the customizations that can be made to the Identity UI package. Minor changes can be achieved using scaffolding, but if your application doesn’t fit into the self-service model that Identity UI expects, then you won’t be able to adapt its features to suit your project.
On the Role of Communication Environment for Creating Industrial Products

The article discusses the place and role of a new generation of communication environment in the industrial products creation. At the same time it is proposed to distinguish, when describing and placing in the software environment, products for production purposes and final consumption products for the population. For industrial products the function of developing a "building material" and technologies of declared for development of end-use products of all types is defined. The level of industrial products development also determines the development level of the economy as a whole, its self-sufficiency and competitiveness. An approach to developing a communication environment for industrial products as the basis for a cluster of the modern version of "Silicon Valley" is considered.
Library guides / Biblioteekgidse: Makerspace: Raspberry Pi

Provide a collaborative technologically focused environment for SU students and staff to invent, create and learn while sharing.