Reviewerly/exHarmony huggingface dataset:
Melatih Kemahiran Anak Menulis Dongeng Melalui Imajinasi

One of the important skills in language learning is writing. Writing skills, need to be familiarized with children, such as fairy tale writing skills. One way to teach it is a fun activity, which is by linking writing with children’s habit’s, which is to teach imagine. This study aims to analyze the results of the implementation of the design of learning to write fairy tales through imagination activities. The method used is descriptive qualitative. The subject is the fourth grade students of MI Muhamadiyah Beji with a total of 14 students. The result showed that 92.85% of the 14 student were able to create fairy tales through the imaginations, and 7.15% of students were unable to write them in writing because they did not follow the learning well. This activity is also able to explore children who have the potential to write.
Monolingual Word Sense Alignment as a Classification Problem

Words are defined based on their meanings in various ways in different resources. Aligning word senses across monolingual lexicographic resources increases domain coverage and enables integration and incorporation of data. In this paper, we explore the application of classification methods using manually-extracted features along with representation learning techniques in the task of word sense alignment and semantic relationship detection. We demonstrate that the performance of classification methods dramatically varies based on the type of semantic relationships due to the nature of the task but outperforms the previous experiments.
Institutions Are People and Leadership Is Key: In Conversation with Flávia Lacerda

Interview discusses information architecture in Brazil; The evolution of information architecture; The importance of systemic thinking and a phenomenological perspective; the Meta-model methodology (M3); architecture and information science; and the relationship between information architecture and user experience.
InfoGuides: Business Research Toolkit: Week 3: News Searching

Modeled on the University of Alabama at Birgmingham, Sterne Library's award winning Business Research Toolkit Program, GMU's version is offered each Fall and Spring semester. The hands-on program introduces participants to business resources and research
Participations and Communications of Myanmar Academicians on Research Gate among Differences Disciplines

The purpose of this paper is to know the participating and communication of different disciplines among Myanmar academicians in ResearchGate (RG).The data were manually collected by visiting the profile pages of all members who had an account with the Institution of Myanmar in RG.In total, 1035 RG members and 59 participants' communications were analyzed by using the statistic method-Kruskal-Wallis H test under the five disciplines.The results show that Engineering and Technology disciplines massively participated than other disciplines on ResearchGate, while Natural science disciplines are more in research items.Life Science and Medicine disciplines have the most scholarly communication, respectively.There is no RG metric significant in social science disciplines.But, different disciplines of Myanmar academicians show varying levels of interest in being involved in RG with different significance
Bayesian Network Structure Learning Based on Improved Whale Optimization Strategy

A Bayesian network structure learning algorithm based on improved whale optimization strategy is proposed to solve the problem that the current Bayesian network structure learning algorithm is easily trapped in local optimal and is of low optimization efficiency. The improved algorithm proposes first a new method to establish a better initial population, and then it uses the cross mutation operator that does not produce the illegal structure to construct an improved predation behavior suitable for Bayesian network structure learning. At the same time, it adopts the dynamic parameter tuning strategy to enhance the individual search ability. The population is updated followed by the fitness order so that the optimal Bayesian network structure is obtained. Simulation results demonstrate that the algorithm has global convergence, high efficiency and higher accuracy than other similar optimization algorithms.
Analysis of benzodiazepine metabolite in the urine of Wisma Anggrek Resident, Mutiara Sukma Psychiatric Hospital, West Nusa Tenggara

Benzodiazepines, including group IV psychotropic substances that are often abused. To ensure that benzodiazepine abuse has been carried out, a screening test for the presence of benzodiazepines metabolites is carried out in the urine sample. The accuracy of the analysis is largely determined by the time of sampling. False negatives can occur when the urine sampling is done before benzodiazepine metabolites are present in the urine. This study aims to determine the appropriate sampling time so that the test results can provide appropriate test results. On residents of Mutiara Sukma who were given clobazam therapy, the clobazam metabolite test was carried out in the urine. Urine sampling was done after the therapy was given, that is after 6, 9, 12, 15 and 18 hours. Clobazam metabolite were positive in the urine sampled after 9 hours of consumption and were still positive until 18 hours later.
Study on the ‘Tong-Bie’ language in YangXiong's Dialects

For the purpose of better communication between ancient and contemporary common language and dialect, Yangxiong, the linguist from former Han dynasty, designed a set of terms for dialect research, Tongyu (common language) and Fangyan(dialect) are two of the most important words. The word ‘Tongyu’ refers to language which were uniform throughout the country (National common language) or in some specific regions (regional common language).BR Using ‘Tongyu’(common language) as the pivot of transformation, also by way of ‘Zhuanyu’ method, Yangxiong embodied the conversion rule among the common language in Han dynasty, languages which were being used long time ago and dialects which were being used by a different regions. He then created a general rule which is applicable for the past and present, this rule can be applied to unite and connect dialect and folk words from ancient and contemporary alike as far as their meaning, pronunciation and form go. The interconversion between ‘Tongyu’ and ‘Bieyu’ laid a solid theoretical foundation for the establishment of ‘Zhuanyu’ methodology. Following the article On Method of ‘Zhuanyu’, this article is another one which specifically studies the connection and differences between ‘Tongyu’ and ‘Bieyu’
Best Test Bench Computer Case

Building in a computer case requires time, effort, resources, and most importantly, the correct assembling of all the components for an excellent ...
LibGuides: Evaluating Sources with the DAPPR Test: Putting it all together

This guide helps you learn how to evaluate your sources by using a tool called the DAPPR Test.
Online Student Attendance System via Face Recognition Using Haar Cascade Classifier

Nowadays Attendance management system is an important tool for taking attendance. Although, the traditional approach is time-consuming, intrusive, and requires manual work from the users. This research is focused on developing a less difficult, cost-effective, and more efficient automated student attendance management system using face recognition. This system takes attendance by using a camera mounted in front of a classroom, to capture images of the entire class. It detects the faces which are captured in the image and compares them with the enrolled faces in the database. On identification of a registered face on the captured image collections, the attendance register is marked as present otherwise absent.
LibGuides: Literature Review Tips & Tools: Writing & Citing Help

On this guide, we share tips for doing any type of comprehensive literature review and tools that can help in the process.
Fundamentals of Operating System

An Operating System can be defined as an “interface between user and hardware”. It is responsible for the execution of all the processes, Resource Allocation, CPU management and File Management. The purpose of an operating system is to provide an environment in which a user can execute programs in convenient and efficient manner. OS helps to connect and interface computer hardware to program and it help in application software and other common essential services. It is initially loaded on at boot time. The main purpose of Operating System is to handle the activities based on computer hardware. It also provides management for input, output and storage devices. Mostly in computer system different computer programs run at the same time and they need to access CPU, memory, and storage. In an operating system user can communicate with the Command Line Interface by typing command and the user receives the response back form the system according to the command entered. But in Modern Time Operating system use a Graphical user interface (GUI) for easy to use. User can communicate with a system using a mouse to click button, menus, and everything is displayed on the screen using Text, Graphics or image..
Urdu Sign Language Reorganization via Artificial Neural Networks

Sign languages display the same linguistic characteristics as oral languages and utilize the same language services. Sign language processing solutions provide a communication link for persons with hearing impairments and healthy persons. Without these icons' ability to understand, deaf children experience several challenges in learning social norms and cannot meet adults to exchange knowledge. Parents find it challenging to express their messages to their deaf children and not hear their children. This paper focused on establishing Urdu sign language to reduce the communication barrier between ordinary folks and physically impaired people. The present study observed the Urdu Sign Language in deaf children. In this paper, the process of detecting Urdu sign language alphabets is proposed. All the 37 alphabets are identified by using KNN, ANN, and SVM classifiers. Through these alphabets, the teachers at schools and the parents at home can communicate efficiently with their deaf children. Histogram of Gradient technique is used for feature extraction. Urdu Alphabetic are identified. Maximum accuracy is obtained by using a KNN classifier that was 99, which is a significant contribution. Our proposed results are comparable to the state of the art techniques.
Issues in Privacy Preservation for Re-Publishable Data

In order to preserve the privacy in the scenarios where the data can be changed by the insert, update, and delete operations, at all times or re-publishable situation, the non-static existing approaches and algorithms may not be appropriate. The changing of data in a volatile environment, e.g. edge computing model with distributed datasources, could even escalate the issue in term of effectiveness and efficiency. In this paper, we elaborate the issues to address such problem. First, the background of privacy preservation is presented. Subsequently, we show the environment of the re-publishable dataset problem. Then, the analysis of possible privacy breach is illustrated. Finally, the paper is summarized and the problem is formally presented and discussed.
THE USE OF 2D COMPUTER ANIMATION VIDEO TO IMPROVE STUDENTS’ VOCABULARY MASTERY AT THE SEVENTH GRADE OF SMPN 2 PANDEGLANG (A collaborative Classroom Action Research)

The research paper entitled Improving Students’ Vocabulary Mastery Through 2D Computer Animation Video at the seventh grade students of SMPN 2 Pandeglang. This research used Collaborative Classroom Action Research (CCAR) as a research method. There were 28 students as the subject of the research. This research was conducted in two cycles which consisted of three meetings in every cycle. The instruments in collecting the data were observation sheet and documentation for collecting the qualitative data. Moreover, the researcher used pre-test and post-test to collect the quantitative data. The objectives of this research was to find out whether or not animation video can be used to improve students vocabulary mastery at the seventh grade of SMPN 2 Pandeglang. The students responses in cycle I and cycle II were very active and enthusiastic in the process of teaching and learning. The result of the research, there was an improvement using animation video to taught vocabulary focused on noun and adjective. It could be seen from the improvement in every cycle. The average score in pre-test was 45.7, 79.6 at the post-test cycle 1 and 89.3 in post-test of cycle 2. So, the students score percentage from pre-test to post-test in cycle two improved around 43.6%, it improved from the target. It can be concluded that using 2D computer animation video improve students vocabulary mastery.
발주처 관점의 시설물 생애주기 관리를 위한 BIM 기반 건설 프로젝트 사례 분석

From the perspective of the client, the value of information for use in facility management is very low at the point of use.This is because the facility owner, who is a non-professional, cannot accurately request necessary information from the perspective of long-term facility life cycle management. The purpose of this study is to define the information necessary for facility management and to analyze the project operation method to procur this information to the client using BIM. To this end, this study analyzed the role of client and contractor, project delivery process, standards, and submissions in the BIM-based procurement area through USACE Air Force Hospital project case analysis. As a result of the analysis, if the client, who is the subject of facility operation, defines in advance the type and input method of necessary information in the operation stage, the client can receive the BIM optimized for operation from the contractor. The results of this study can be used to establish standards for receiving information necessary for establishment of procurement process and facility management of public institutions considering BIM introduction.
Prioritization of Students Understanding in Rules of Differentiation using Fuzzy Soft Matrices and Lambda – max Method

Calculus is one of the most important courses especially for undergraduate students in many fields of study. Some researchers have identified the causes of the high failure rate which includes lack of basic foundation of mathematics and basic concept of differentiation. Aside from that, the main problems that can be seen among students are the difficulty in identifying the type of function in differentiation and identifying the suitable method to solve a particular problem. There are three rules included in differentiation which are the Chain Rule, Product Rule and Quotient Rule. This study is conducted to examine the level of understanding of the students on the function and the derivative techniques after applying derivative game applications in this course. This paper is based on Fuzzy Analytic Hierarchy Process (Fuzzy AHP) which use fuzzy number in pair-wise comparison matrix. The prioritization of students’ understanding in differentiation rules will then be measured by Fuzzy AHP using Lambda-max method. The highest among the three rules in differentiation will considered as a result. The findings of this study indicated that the highest score with 0.4700 is the Chain Rule. This study can help lectures to know the level or understanding among three rules in differentiation and lecturer well prepared their teaching materials in the classroom as well as to reduce the failure rate among students in this course
LibGuides: LMU Library Staff Picks: Digital Literacy

We know that our Lions are always on the hunt for great resources, so we have created a list of e-books and streaming films to keep you informed.
LibGuides: ESL (English as a Second Language): ESL Community Resources

This guide is designed to support the Hispanic Program and English Language Learners at Lakeland Community College.
LibGuides: Library Hub Guide: How To Videos

A guide to help you navigate the Library Hub. Some helpful clips to help you navigate the Library Hub all in one spot.
Free development of personality in the conditions of guided learning

The goal and objectives of the present article are found in disclosing the problem of the relation between free development of personality and guided learning, as well as covering the distinctive features of rational and regulated free and creative learning, The authors suggest combining the opposing rational and creative approaches in constructing the educational process thus ensuring optimal organization of learning activity through a clear sequence of mental acts and operations without casting aside students’ personal efforts and creative initiative, Since overcoming the contradictions between the educational objectives and the existing level of students’ knowledge and skills presents the driving force behind the educational process, the authors mostly associate improving school education with school students’ cognitive and overall personality development, The article indicates the distinctive characteristics and advantages of technologized education and the effectiveness of using cognitive exercises and guidelines for solving them in education, It also introduces the reproductive and search technological schemes of learning in which students’ work is significant not only in terms of accumulating knowledge but also in their development, Based on the analysis of scientific sources, the authors point out the unique opportunity to integrate various types of learning to work on greater accuracy and completeness of the results of students completing certain types of cognitive operations and mastering the corresponding types of cognitive acts as well as allowing students to show creative initiative, out-of-the-box thinking, find new ways of solving “traditional” problems, and the opportunity to simultaneously implement free and guided learning,
Bounded Graph Pattern Matching With View

Bounded evaluation using views is to compute the answers $Q({\cal D})$ to a query $Q$ in a dataset ${\cal D}$ by accessing only cached views and a small fraction $D_Q$ of ${\cal D}$ such that the size $|D_Q|$ of $D_Q$ and the time to identify $D_Q$ are independent of $|{\cal D}|$, no matter how big ${\cal D}$ is. Though proven effective for relational data, it has yet been investigated for graph data. In light of this, we study the problem of bounded pattern matching using views. We first introduce access schema ${\cal C}$ for graphs and propose a notion of joint containment to characterize bounded pattern matching using views. We show that a pattern query $\sq$ can be boundedly evaluated using views ${\cal V}(G)$ and a fraction $G_Q$ of $G$ if and only if the query $\sq$ is jointly contained by ${\cal V}$ and ${\cal C}$. Based on the characterization, we develop an efficient algorithm as well as an optimization strategy to compute matches by using ${\cal V}(G)$ and $G_Q$. Using real-life and synthetic data, we experimentally verify the performance of these algorithms, and show that (a) our algorithm for joint containment determination is not only effective but also efficient; and (b) our matching algorithm significantly outperforms its counterpart, and the optimization technique can further improve performance by eliminating unnecessary input.
Cluster Analysis Using K-Means Algorithm and Fuzzy C- Means Clustering For Grouping Students' Abilities In Online Learning Process

The time of the Covid-19 pandemic, which is still unknown when it will end, has resulted in the learning and teaching process having to be carried out online. The impact of the learning process carried out online is a less satisfactory result than the learning process carried out offline. This study aims to group students based on their learning outcomes in statistics courses and measured probability based on the variables of attendance scores, assignments, midterm exams (UTS), and final semester exams (UAS) which are then used to evaluate learning for subjects that require analytical skills. good quantitative. This study uses cluster k-means analysis and fuzzy C-Means in grouping students into three groups based on their learning outcomes. After being grouped,
AN INTERACTIVE ANALYSIS OF 3D TECHNOLOGY AND ITS VAST APPLICATION TO HUMAN

The word 3D is defined as three dimensional models that display a picture or item in a form that appears to be physically present with a designated structure. Three-dimensional (3D), can also describe any object that occurs on a three-axis Cartesian coordinate system, a Cartesian system is basically a fancy way of describing the X and Y axes which are horizontal and vertical axis, but the inclusive of the third axis Z which is make it to be 3D of which the Z axis represent the depth.3D interaction is a form of human-machine interaction where users are able to move and perform interaction in 3D space. Both human and machine process information where the physical position of elements in 3D space. The main features of these 3D applications are immersion, interactivity, and involvement. Immersion holds the user’s attention. Interactivity is related to how responsive the application is to user actions and Involvement has to do with engaging the user’s interest in the underlying activity.3D interaction techniques are selection and manipulation, navigation, system control and symbolic inputs. Its application is in the area of Exploring Complex Data, Visualizations with the Cubic Mouse, Multimodal Interfaces in VEs Multimodal interaction, and VEs for Design Education Architectural design. KEYWORDS:interaction,cartesian,information,application,interface,virtual,physical,technique,immersion,involvement,design,navigation and data.
Research Guides: News Reading and Writing: Information Neighborhoods

This guide provides links to campus subscriptions to various news sources and the AP Stylebook.
MATHEMATICAL EDUCATION AS A CONCEPTUAL BASIS OF TRAINING STUDENTS OF PEDAGOGICAL SPECIALTIES

In the process of teaching mathematics and the formation of skills is carried out in the process of broad intersubject communication with other disciplines. Experts noticed the influence of interdisciplinary ties on the structure of emerging knowledge. Fundamentally important, in our opinion, in the article is the fact that the program of the mathematics course and the structure of the links of this course with profile disciplines form a certain type of thinking.
LibGuides: Research Data Management: Further Help & Resources

A guide to managing outputs of research projects and handling issues such as copyright and data protection laws
PERSONAL VOICE ASSISTANT

Digitization brings new possibilities to ease our daily life activities by the means of assistive technology. Amazon Alexa, Apple Siri, Microsoft Cortana, Samsung Bixby, to name only a few were successful in the age of smart personal assistants (spas).A voice assistant is defined a digital assistant that combines artificial intelligence, machine learning Speech Recognition, Natural Language Processing (NLP), Speech Synthesis and various actuation mechanisms to sense and influence the environment. We use different NLP techniques to convert Speech to text (STT), then process the text, convert Text to Speech (TTS), add various functionalities. However, SPA research seems to be highly fragmented among different disciplines, such as computer science, human-computer-interaction and information systems, which leads to ‘reinventing the wheel approaches’ and thus impede progress and conceptual clarity. In this paper, we present an exhaustive, integrative literature review to build a solid basis for future research. Hence, we contribute by providing a consolidated, integrated view on prior research andlay the foundation for an SPA classification scheme. Instead of pattern recognition we use nlp techniques to recognize the text which is context based. Operates online as well as offline. Data is Stored in Application itself, reduces Time and Space Complexity.