Reviewerly/exHarmony huggingface dataset:
Speaking Anxiety of First Semester Students of English Education Department at Muhammadiyah University of Surakarta in 2018

SPEAKING ANXIETY OF FIRST SEMESTER STUDENT OF ENGLISH EDUCATION DEPARTMENT AT MUHAMMADIYAH UNIVERSITY OF SURAKARTA IN 2018ABSTRACT DYAH PERMATA SIWI LAMILA. A320140067. SPEAKING ANXIETY OF FIRST SEMESTER STUDENT OF ENGLISH EDUCATION DE-PARTMENT AT MUHAMMADIYAH UNIVERSITY OF SURAKARTA IN 2018. Research Paper. School of Teacher Training and English end Education. Muhammadiyah University of Surakarta 2020, 66 Pages.Speaking is one way of someone to convey an intent or purpose such as making a presentation or speech in public, asking and answering questions, asking for help or just talking with friends or family. But speaking is also a problem of some people who have excessive anxiety and fear of being criticized by others, so some of them choose to silent. This can be said as speaking anxiety. The study aims to identify the types of speaking anxiety, describe the types of speaking anx-iety that often arise, and describe the causes of first semester student from De-partment of English Education at Muhammadiyah University of Surakarta in 2018 who experience speaking anxiety. This research was analyzed using qualitative descriptive methods. The target fom this study were 18 students from Department of English Education of Muhammadiyah University of Surakarta in 2018. In this study, the writer used the theory of speaking anxiety classification from Tercan and Kenan (2015) and the theories from Ghufron and Rini (2009) to identify the causes of speaking anxiety. Based on speaking anxiety classification by Tercan and Kenan (2015) there are three types of anxiety, namely trait anxiety, state anxi-ety and situation-speaking anxiety. In this study, the writer found 7 data of trait anxiety, 8 data of state anxiety, and 6 data of situation-specific anxiety. State anx-iety is the dominant anxiety found in first semester students while situation-specific anxiety is the least and trait anxiety is only 5% different from the percent-age of the data. And then for the causes of student speaking anxiety based on the theory of Ghufron and Rini (2009) there are two causes, namely internal and ex-ternal. The writer found 6 internal causes, such as unconfortable, nervous, psyco-logically disturbed, worry for making mistakes, shame, and negative thinking. While for external causes the writer found 3 causes, namely fear of the lecturers, fear of being mocked and laughed, and fear in front of many people. The results showed that the cause of anxiety was dominant coming from the students them-selves.Keywords: Speaking Anxiety, Causes of Speaking Anxiety.
Kemampuan Menentukan Konjungsi Pada Kalimat Majemuk Siswa Kelas VIII SMP Budi Dharma Kota Dumai

Research on the ability to determine the conjunction in compound sentences is a quantitative descriptive study. The reason author examines the use of conjunctions, the first use of conjunctions is very important in oral and written communication, but there are still many people who are wrong and incorrect in using or placing the conjunction in oral and written language. Both of the learning about the use of conjunctions were studied by students of class VIII, research on the ability to determine conjunctions has not been done in Junior High School Budi Dharma Dumai. The focus in this research is, (1) The ability to determine conjunctions in the coordinating sentences of grade VIII students of Junior High School Budi Dharma Dumai, (2) The ability to determine the conjunctions in subordinative sentences of grade VIII students of Junior High School Budi Dharma Dumai, (3) The ability to determine the conjunctions in correlative sentences class VIII students of Junior High School Budi Dharma Dumai.Key Words: Conjunction, Compound Sentence, Coordinative, Subordinative, and Correlative
LibGuides: Academic Study Skills: Research

Useful resources to help with Research, Academic Writing and Referencing Resources and activities to support research skills
Crowd attributes estimation using support vector machine and deep learning with multi-source sensor fusion.

Thesis. M.E. American University of Beirut. Department of Mechanical Engineering, 2019. ET:6983.
Sistem, Informasi, Pegawai, Webs Sistem Informasi Pegawai Pada Kecamatan Pagar Alam Selatan Berbasis Web

The purpose of this research is to produce an employee information system in South Pagar Alam Subdistrict based on web that can make it easier for the Subdistrict to manage data and also facilitate those who want to get information quickly, and can be accessed anytime and anywhere. In the Sub-District Office of South Pagar Alam Subdistrict, Pagar Alam City, information about the Office is currently still manual, that is still using in the form of a ledger or file print out, and where in searching data is still manually so the data sought requires a long time. Data collection methods in this study use the method of interview, observation, documentation, and literature study. The system development method uses the waterfall method with stages of analysis, design, coding and testing. This system was developed using the Adobe Dreamweaver CS3, PHP, MySql, and Xampp applications. The results of the interim research in the form of employee information system in the District of Pagar Alam Selatan Web-Based. System testing uses usability testing with an average value of 4.63 which means that the user states that this website can facilitate the South Pagar Alam Subdistrict to convey information and also facilitate parties who want to get information quickly, and can be accessed anytime and anywhere only.
BaTiO<sub>3</sub> based photonic time crystal and momentum stop band

Temporally periodic photonic crystals develop an ω-k dispersion relation with momentum band gaps. While conventional photonic crystals induce forbidden bands in the frequency spectrum of photons, photonic time crystals create forbidden regions in the momentum spectrum of photons. This effect allows for enhanced control over many optical processes that require both photonic energy and momentum conservations such as nonlinear harmonic generation. The simulation results show that more intensive scatter fields can obtained in photonic space time crystal. Also, we investigate topological phase transitions of photonic time crystals systems.
Content strategy in LibGuides survey instrument

This survey instrument was used to collect information from LibGuides administrators at post-secondary institutions in Fall 2019.
Research Has Changed, Have Libraries?

Presentation at Research Libraries UK, 2019. Video of presentation online at https://www.youtube.com/watch?v=jUldbTN64Nk.
Library Guides: Omeka: Adding Pages

Omeka is a free, flexible, and open source web-publishing platform for the display of library, museum, archives, and scholarly collections and exhibitions.
Proceedings of the 2019 Connected Learning Summit

The Proceedings of the 2019 Connected Learning Summit features research and presentations from the 2019 Connected Learning Summit, held at the University of California, Irvine in October 2019. The proceedings includes full research papers and abstracts for all other presentations.
Exploring Types of Elementary School Students’ Career Development Using Latent Profile Analysis

이 연구의 목적은 초등학생 진로발달 유형을 분류하고, 각 유형별 특징과 유형 분류에 영향을 미치는 변인들을 탐색하는데 있다. 이를 위해 초등학생 대상의 표준화 진로검사도구인 진로발달검사(CDI)에 응답한 초등학교 4∼6학년 학생 680명의 자료를 분석에 활용하였다. 잠재프로파일 분석 결과, 진로성숙도와 흥미 수준에 따른 초등학생의 진로발달 잠재프로파일은 총 4개로 분류되었고 이를 ‘저 진로성숙, 낮은 흥미형’, ‘중 진로성숙, 흥미탐색형’, ‘고 진로성숙, 흥미분화형’, ‘고 진로성숙, 다흥미추구형’으로 명명하였다. 또한 다항 로지스틱 회귀분석 결과, 성, 학년, 지역, 흥미 변별도가 진로발달 잠재집단 분류에 유의미한 영향을 미치는 것으로 나타났다. 특히 남학생일수록, 학년이 낮을수록, 농촌 지역 소재의 학교를 다니는 학생일수록 ‘저 진로성숙, 낮은 흥미형’에 속할 확률이 높게 나타났다. 이러한 연구결과를 기초로 초등학생의 진로발달 촉진을 위한 진로교육 방향과 관련 연구에 대한 시사점을 제안하였다.The purpose of this study was to classify latent profiles of elementary school students’ career development using Latent Profile Analysis(LPA) and to test the effects of related variables on the profiles. For this purpose, final sample included 680 Korean elementary school students. Based on the results of the latent profile analysis, we identified four types of career development : ‘low-level career maturity, low-level interest’, ‘middle-level career maturity, interest exploration’, ‘high-level career maturity, interest differentiation’, ‘high-level career maturity, various interest pursuit’. Additionally, Multinomial logistic regression results showed that each distinctive career development profile can be identified by some of predictors: gender, academic grades, school location, level of vocational interest differentiation. Specifically, the more males, the lower grades, and the students attending rural schools were likely to belong to the ‘low-level career maturity/low-level interest’ group. The study suggests that elementary school teacher make effort to develop the differential intervention for student in career education and guidance based on each group characteristic.
Multi-level feature filtering algorithm based on MapReduce

Abstract In engineering practice, we need to consult a large number of professional data to support theoretical innovation. If we rely on manual classification and screening one by one, it will take a lot of time and energy, and the classification accuracy can not meet the requirements. In order to improve the work efficiency, a multi-level feature selection algorithm based on MapReduce is proposed. The improved Chi feature selection algorithm can be used for the initial screening, and then the noise words and pre quality features can be filtered by mutual information method. The experimental results show that the algorithm not only ensures the low time complexity of processing big data, but also improves the accuracy of text classification.
Efficient Mean/Sigma Estimation at Arbitrary Spatial Positions with Arbitrary Scales within A 2D Image

This paper contributes a novel two-step method for estimating local statistical image features: the mean and the standard deviation (σ) of pixel intensities, within random-access ROIs. In the first step, three summation maps will be created with O(n) computational complexity for the entire image; based on such maps the area, the mean intensity as well as the σ of an arbitrarily defined rectangular ROI could be calculated by fixed and limited arithmetic operations on scalar values. Without any repeated calculation on individual pixels, this method provides a promising efficiency and flexibility for further image analysis based on local statistical features. For instance, by performing the zero-mean-σ-normalization as fast post-processing on arbitrary image overlaps rather than performing it as slower pre-processing on individual pixels, this paper further contributes a non-classical normalized cross-correlation method for general image registration beyond the scope of (single) template matching.
A Study on the Students’ and Teachers’ Perception of the State of English Classes in Vocational High Schools

This study examined the classroom practice of English classes in vocational high schools through the students" and teachers" perception. The participants included 635 students and 8 teachers in four vocational high schools in Changwon. The data were collected through surveys for students and interviews for teachers. The research questions were: how the students and teachers thought of their English classes; and, what the areas in need of improvement were. The study illustrated that most classes were run in a teacher-centered format focusing on general English. Even though such practice was against the recommendation of the national curriculum, the students did not think it problematic. The teachers also perceived this practice suitable for students. However, the findings indicated that the students" needs and interests were not reflected; at the same time, the teachers were deprived of opportunities for professional development. Pedagogical suggestions were offered.
LibGuides: How to Use the New York Times Site License: How to Use the New York Times Site License

This guide assists with using the NYT site license available through Suffolk University. Guide originally created by Loras College librarians.
LibGuides: Diversity in Children's Books: Home

This LibGuide will help parents, librarians, and educators find children's books and other resources that represent children of all races, religions, cultures, ethnicity, and gender identities.
LibGuides: KHS Remote Learning Resources: Social Studies Resources

Resources for learning at home during a school closure. Supplemental resources for all middle school students
Simulator for Planning Collision-Free Trajectories in Manipulation of Objects Applications

This article presents the functional description of a simulator that plans trajectories in an automatic fashion in order for a Motoman HP20D industrial robot to move box-like objects from an initial to a final position avoiding obstacles in its workspace. The simulator sets up robot positioning based on the data entered by the user as well as the position of obstacles (boxes) by using an offline workspace reconstruction based on a computer vision tool, the main component of which is an RGB-D camera. The vision system estimates the position, orientation and size of a set of boxes to create a virtual representation in the simulator. In addition to that, a collision detection module, cost-efficient in computational terms, is described as the structural block of the trajectory planning process. Finally, the work space road map is obtained through a lazy PRM algorithm, as a global planner, and a type-A* search algorithm, as a local planner. This way, a collision-free trajectory is obtained and animated in the simulator as the final result of the general planning process.
THE EXISTENCE OF GTM IN TEACHING ENGLISH TO CURRENT STUDENTS

This study investigates three problems, which are the practice of Grammar Translation Method (GTM) in English learning for current students, the students’ attitude on learning English using GTM, and characteristics of students which are best taught using this method. In order to get the data, this study used a qualitative approach to analyze the data and it is a kind of case study. The researcher observed the classroom activity and delivered the questionnaire to the students. After getting the result and analyzing the data, this study draws some conclusions. First, GTM is still effective and needed to teach English to current students. Second, not only passive, but also active students who can take benefits from the implementation of this traditional method because it does not perform pure passive learning, but it is also adjusted with the current students’ characteristics. Third, both fast and slow learners are able to follow the lecturer’s instruction when he teaches using GTM because this method accommodates what the slow learners need to achieve the learning goals. Keywords: Grammar Translation Method, Current Students, English Learning
LibGuides: Wordless Picture Books: Home

A list of materials that will help children create a story on their own and bring their own understanding of the world to the text
Hybird Cryptosystem Algoritma Hill Cipher Dan Algoritma ElGamal Pada Keamanan Citra

The development of technology at this time allows everyone to exchange information without any limitation of time and distance. The possibility that data leakage will occur during the process of exchanging information is carried out, therefore in sending data especially images, security aspects, confidentiality and efficiency of data storage is very necessary. If the important information falls into the wrong hands, it will cause unwanted things, for example manipulation of images with negative shapes and can harm the owner of the image. One method used to maintain data security is cryptography using one of the techniques, Elgamal. The strength of this algorithm lies in the difficulty of calculating discrete algorithms on prime integers in which multiplication operations are performed. In this research, the writer combines Hill Cipher to do image encryption and Elgamal Algorithm to decrypt the key of Hill Cipher. The image is first encrypted using the Hill Cipher, then the Hill Cipher key is encrypted using the Elgamal Algorithm. The implementation of the system uses the programming language Visual Basic Net 2010. The results of the implementation with the initial encrypted image has 4282.85 milliseconds with random images, while the encrypted image will be re-described as having 20442.84 milliseconds with the image returned to the beginning.
UWM Libraries Research and Course Guides: Library Resources for Online Instruction: Add Streaming Videos in Canvas

This guide contains information and useful no-cost/low-cost content into your online course to supplement instruction. This page contains instructions and recommended practices for embedding and linking to licensed streaming video content in Canvas course sites.
LibGuides: Exploratorium Library: Juvenile Resources: Home

Juvenile resources collection for the Exploratorium Library featuring STEM and fantasy materials.
Research Guides: Higher Education Resources Available Through the Newman Library - Spring 2020: Start Here

How to search for e-books articles, news and reports on aspects of higher education through databases and other resources available through the Newman Library. Guide focuses on higher education in the United States.
Automated Derivation of Random Generators for Algebraic Data Types

Many testing techniques such as generational fuzzing or random property-based testing require the existence of some sort of random generation process for the values used as test inputs. Implementing such generators is usually a task left to end-users, who do their best to come up with somewhat sensible implementations after several iterations of trial and error. This necessary effort is of no surprise, implementing good random data generators is a hard task. It requires deep knowledge about both the domain of the data being generated, as well as the behavior of the stochastic process generating such data. In addition, when the data we want to generate has a large number of possible variations, this process is not only intricate, but also very cumbersome. To mitigate this issues, this thesis explores different ideas for automatically deriving random generators based on existing static information. In this light, we design and implement different derivation algorithms in Haskell for obtaining random generators of values encoded using Algebraic Data Types (ADTs). Although there exists other tools designed directly or indirectly for this very purpose, they are not without disadvantages. In particular, we aim to tackle the lack of flexibility and static guarantees in the distribution induced by derived generators. We show how automatically derived generators for ADTs can be framed using a simple yet powerful stochastic model. This models can be used to obtain analytical guarantees about the distribution of values produced by the derived generators. This, in consequence, can be used to optimize the stochastic generation parameters of the derived generators towards target distributions set by the user, providing more flexible derivation mechanisms.
LibGuides: Government Publications: Search Tools and Resources

Government Publications is a collection of materials put on deposit by the federal and state government for all citizens use free of charge and located on the Third Floor of the James E. Brooks Library. We encourage you to browse our collection whenever
Exploring the Number of Tries Related to Cracking Passwords Generated with Different Strategies

As more services and workflows are moved into computerized systems the number of accounts a person has to be aware of is on steady increase. Today the average user is likely to have more than 25 ac ...
LibGuides: Resources for Teaching Digital Literacy in Elementary School: Home

Free wed-based resources to help you with your digital literacy curriculum in elementary school.
Benefit of Bayesian Clustering of Longitudinal Data: Study of Cognitive Decline for Precision Medicine

This chapter focuses on the study of cognitive decline and brain imaging for precision medicine, and is based on data from the North American Alzheimer’s Disease Neuroimaging Initiative cohort. It aims to identify clusters of subjects with different susceptibility to cognitive decline, based on repeated cognitive scores and baseline Magnetic Resonance Imaging volumetric data. In particular, longitudinal data are a key resource for precision medicine when applied to chronic diseases; giving insight into the complex patterns of disease progression, quantifying time-varying exposure to treatments, or facilitating the development of individual-level dynamic disease prediction tools, updated as new biomarker information is collected. Precision medicine is an emerging field that aims to improve disease prevention and treatment by accounting for individual variations in genes, lifestyle and environment. Statistical tools commonly used for precision medicine purposes include clustering methods, regression modelling, a variable selection and dimension reduction techniques.
From Folios to Files : Evaluating the Use of Handwritten Text Recognition to Transcribe the Protocols of the Swedish Bureau of Mines 1700–1840

From Folios to Files : Evaluating the Use of Handwritten Text Recognition to Transcribe the Protocols of the Swedish Bureau of Mines 1700–1840
Mutable Mobile: A device of gathering and framing

This is a Mutable Mobile—a fluid object designed to travel and change over time. It can be assembled and disassembled with simple tools and might gradually change shape without disappearing altogether. This object sits within the broader web of concerns of the Re-Form Initiative: a design-research project examining the responsibility of designers in the context of post-consumer plastic waste. That larger project assembles a multitude of actors—designers, architects, funding bodies, government agencies, non-profit organisations, community groups, marine scientists, students, shearwaters, molds, mills, and machines—around a common concern.
LibGuides: K-12 Learning at home during COVID-19: Get Started

This library guide outlines resources used to support BC K-12 curriculum-focused learning in home settings.
Image-based Visual Servoing of an Omnidirectional Mobile Robot without Velocity Sensor Using Multi-layer Artificial Neural Network Dynamics

This paper proposes an image-based visual servoing of an omnidirectional mobile robot without velocity sensor using a multi-layer artificial neural network dynamics. The multi-layer artificial neural network dynamics is trained with the actual input and output data of the omnidirectional mobile robot so that it can represent the dynamic characteristics of the reference dynamics well. On the one hand, the velocity sensors attached to the actuators of the omnidirectional mobile robot contain uncertainties. Therefore, one of the applications of the trained dynamics is to implement image-based visual servoing of an omnidirectional mobile robot without velocity sensor. the simulation results are provided to verify the validity of the proposed method.
Guides: Forestry & Natural Resources: Tips for finding background info

Explore library and Internet resources for any topics related to Forestry & Natural Resources.
Validation Based Cascade-Correlation Training of Artificial Neural Networks

The Cascade-Correlation learning algorithm, Cascor, is a self-constructive learning algorithm introduced by Fahlman in 1990, which builds the networks one node at the time based on the errors of the network. Cascor has been criticized for creating excessively deep networks and easily overfit. This thesis investigates a few methods that use an internal validation set to add nodes that perform better on unseen data. The goal is to improve the generalization of the networks and examine how these methods affect the network architecture. It is shown that the investigated methods are all able to reduce the depths of the networks and decrease the overfitting of large networks.