Reviewerly/exHarmony huggingface dataset:
Comparison Of Data Mining In E-Learning Learning Based On Log Aktivity On PSO-Based Nural Network Algorithms With PSO-Based SVM

The purpose of this research is to find a higher or better level of accuracy, we make a comparison between the Neural Network method based on Particle Swarm Optimization and the Particle Swarm Optimization-based support vector machine method, from evaluation on e-learning based learning systems is very important to determine the level. accuracy in learning. .  In addition, the purpose of this study is to find the attributes of the highest predictive results of student learning who follow the e-learning learning system . The data we use are 641 users which are taken from the log of student learning activities from the LMS. The logs we use are Gender, Excercise, Forum, Chat, Diskusi, Upload An Assgmnt, Message, Excercise Quiz, dan  Total Log . All logs will be recorded in the LMS.  The data used in this study, the results of the tests we conducted, the results obtained using the PSO-based Neural Network (NN) method obtained an accuracy value of 97.35%, and the results of the AUC value were 98.60%. Then we did the second trial using the PSO-based support vectore machine (SVM) method to get an accuracy value of 88.47% and an AUC value of 93.80%.  T hen the conclusion is that using the neural network method is higher than using the spport vector machine method with an accuracy difference of 8.88% while the AUC accuracy value is a difference of 4.8%.
Stability of Hierarchical Clustering

Hierarchical clustering is an unsupervised data mining technique that infers a set of nested, hierarchically organised clusters. Even slight permutations in the data can change the clustering structure. Ideally, we should only be interested in the stable part of the clustering hierarchy. It is thus essential to assess the stability of the nodes in the hierarchy. In this thesis, we review the approaches to determine the stability and statistical significance of the clusters. While all the reviewed methods use resampling, their results could be substantially different because of the details in the implementation and stability scoring. The approach called pvclust is recently most used in practical applications. In its R implementation, it suffers from low speed and visualisation of results. We have implemented pvclust in Python, yielding an implementation that is almost an order of magnitude faster than the version in R. Our implementation is currently the only opensource Python implementation of stability analysis of hierarchical clustering. To visualise the results and enable interactive explorative data analysis, we also incorporated our implementation in the Orange data mining toolbox.
LibGuides: Using Video to Enhance Your Online Content: Find Your Media

This guide accompanies a CITL workshop and will show you how to put videos into your course shell. Steps to search the library catalog and add media to your Moodle course and to Webex sessions. Plus, a short list of streaming media vendors to consider.
PERCURSOS FORMATIVOS EM CONTEXTO DE PANDEMIA

In times of pandemic due to the new coronavirus (Covid-19), decrees and normative instructions are constantly being drafted and reworked by states and municipalities, with a view to reducing the contamination of more people by viruses. Some of them bring changes in the way services are organized and in mental health care practices, creating challenges for the teams. Based on this, this descriptive study seeks to report the experience of the work of residents in Collective Mental Health and Primary Health Care, in the Adult Mental Health Team, in the Gloria, Cruzeiro and Cristal region - ESMA GCC, in the municipality of Porto Alegre/RS, which have sought to reorganize themselves based on the instructions and recommendations of the municipality's management.
무용 읽기 교육과 문화 기억의 관계

This study was conducted to explore the characteristics of dance as a form of collective memory to examine the contents of experience in dance literacy based on contemporary knowledge systems referred to as cultural historization and it presented contents of dance literacy education along with practical methods (accessibility), in that order. This signifies an exploration into the educational functions of dance literacy based on relationships between collective memory and cultural literacy. Contents researched within this context can be presented as follows.Dance exists as an agent that remembers (records) and reproduces society of its time period using collective memory and one such method of acting out memories is dance literacy.In dance literacy education, cultural forms (cultural memory) serve as contents of experience and material (data) and relationships between the recording methods and preservation methods of such experience data and memories that exist as an archival material become learning (experience) elements of dance literacy.Dance literacy is learned as the cognitive functions of imagination (sympathy) and expression (empathy) and contributes to expanding empathy and thinking that reads thoughts and feelings.For this, collective memory such as images (paintings, photographs, visual images, etc.), places (monuments, structures, memorial halls, museums), and practices (ceremonies, festivals, etc.) present experience data imprinted in the form of culture for the discovery of the spirit of the times and values of dance created through collective ideologies (folk culture, approaches made as culture) and individual reasoning systems (approaches made as art), and possibilities of imagination and inferences must be left open and experiences of dance literacy must guarantee approaches that become intellectualized.Dance literacy as records and memories usher in a sense of emotional belonging that one is within the context of a larger community in historical and cultural orbits based on various experience data. Because of this, it associates with the cultures of societies of various time periods through experiences that express abstract concepts (archival material, festivals, and ceremonies, etc.) as forms of the heart (imagination).Dance literacy in contemporary dance education guides semantic-oriented lives that are believed to contribute to greater communities and thus dance gains the function of world literacy as a communication system that connects dance and society.
UMA EXPERIÊNCIA DE ENSINO À DISTÂNCIA

This article presents a possibility of interdisciplinary action during the Coronavirus pandemic. It was a training in the Distance Learning Modality between the areas of Psychology and Psychiatry for employees at the Universidade Federal do Rio Grande do Sul (UFRGS). The activity aimed to: promote knowledge about mental health for the UFRGS employees; discuss the repercussions of anxiety and depression at work; instruct employees on Psychological First Aid; and reflect on these issues in the context of confronting the new Coronavirus. The course used the institution’s Moodle platform, divided into three modules: 1. Anxious and Depressive Symptoms, 2. Psychological First Aid and 3. Forum. The course was self-instructional, lasting one week and with a workload of 4 hours. The places were limited to 20 participants and had 18 graduates. At the end, the participants answered an evaluation questionnaire. In general, the evaluation of the participants was positive.
LibGuides: Automation: Home

Library Automation CoSer #573 - We provide coordination, consultation, and administration to plan, implement and support a regional automation service.
Solano Community College Library: SCC's Digital Library: Research Support

A starting point for using the library and beginning your research. information sources within and outside of the library
Time and Object Based Question and Answering System for Turkish

A time and object-based Q&A system for Turkish is presented in this paper. The developed Q&A system has three phases: 1° Normalization of question 2° Extracting of time and object and meaning of the question 3° Answer the question with the data from databases of organization. The normalization process which consists of morphological parsing (tokenizing of sentences, parsing a word into syllable, phonological testing (consonant softening, vowel reduction, haplology, head and tail letters, morphological testing, mumpsimus, foreign words and finding the correct word). In the second step the time expression and object are extracted from question as well as request. There are 7 different way to express a time in question. The number of the object are classified in three groups: 1o Status of the transaction, 2o Documents related ongoing transaction and 3o Document Request from the Archive (Archive). In order to find the meaning of time expression and objects Machine Learning and Artificial Neural Network are used. The meaning of the question is generated as structured manner. In the last phase, the structured information is received and according to request data and document are fetch from corporate archive or databases.
Ekstrakcija pravil iz globokih nevronskih mrež

Despite their high accuracy, deep neural networks’ main disadvantage is their lack of transparency, interpretability and explainability. This has prevented them from being widely used in safety and security critical systems, for example, healthcare. There have been many attempts to interpret neural networks via rule extraction. However, the existing algorithms either do not take into account the entire structure of the network, are not applicable on deep neural networks, or are very time and memory expensive.This thesis introduces a scalable, decompositional rule extraction algorithm, which can extract simple, easy to understand IF-THEN rules from deep neural networks and can deal with the multi-class classification problems. The extracted rules approximate the network's behaviour and explain its output layer in terms of the input features. The algorithm was applied in the healthcare domain, where explainability is crucial. It was tested on a data set of breast cancer patients (METABRIC), and evaluated on two tasks of binary and multi-class classification problems.The algorithm's performance was compared to two baselines: pedagogical C5.0 and the decompositional algorithm DeepRED. As expected, the pedagogical baseline outperformed both decompositional algorithms in time and memory complexity, number of extracted rules and their average length. However, our algorithm provided more accurate rules with a higher level of fidelity than the pedagogical baseline. Our algorithm also outperformed the decompositional baseline DeepRED in all perspectives.
Leadership of high school students as а requirement of time

The article presents theoretical analysis of the leadership phenomenon in different fields of scientific knowledge. It is emphasized that leadership is a result of the leader's activity as a member of the group. It is carried out analysis of concepts «leadership» and «leader» in the context of leadership theories: theory of leader roles, theory of lines of leadership, interactive theory, situational theory, synthetic theory. Age peculiarities of leadership in the school environment are characterized. An important stage in the development of leadership and the formation of leadership qualities defined early youth age as period of accumulation of leader potential, becoming of personality identity, and professional self-determination, production of value orientations for expansion social situation of personality development and integration into the social space. It is marked that leadership qualities are generalized qualities of a leader in relation to creating a new vision for solving a problem, successfully influencing followers to achieve common goals with the group. The main components of the student’s model of leadership qualities are highlighted and characterized. Based on analysis of leadership qualities and psychological features of high school students the content of their leadership determines interrelation of tendency to leadership with communicative-organizational and motivational components of the leadership qualities model. The research results of the content of leadership in modern graduates of secondary schools are presented. Empirically tested and defined links between tendency to leadership and development level of leadership qualities (communication skills and motivation to success) students of the 10th and 11th grades.
LibGuides: ENG102, Part I - MCCC Library resources, Searching and Databases: Effective Searching

Covering effective computer searching for locating academic resources using the MCCC Library’s online databases
A Feature Discriminability Focusing Model for Skeleton-based Human Action Recognition

In order to deal with the complexity of human movements and the variety among the same action performed by distinct subjects, previous approaches for human recognition usually use multi-type features to get more powerful discriminability for improved performance on the condition that the different types of features have the equal strength for each class. But in the real situations, the fact may be that different types of features and/or some dimensions of an individual feature could have distinct discriminability or contribution while classifying different categories of human actions. In this work, we propose a novel Feature Discriminability Focusing Model (FDFM) to focus on the features and/or dimensions with stronger discriminability for integrating multiple features. Specifically, a weight matrix derived from sparsity-inducing norms is leant for every feature with respect to each category individually, in which each element is regarded as a saliency indicator to suggest the contribution of using the feature to make a correct classification. A new optimized algorithm is designed to solve the proposed model. By coupling with three types of simple skeletal features, our proposed model achieves competitive performance on three widely used benchmarks.
An Empirical Methodological Study of Evaluation Methods Applied to Educational Timetabling Visualizations

The conception, and usage, of methods designed to evaluate information visualizations is a challenge that goes along with the development of these visualizations. In the scientific literature there is a myriad of proposals for such methods. However, none of them was able to pacify the field or establish itself as a de facto standard, due to difficulties like: (a) the complexity of its usage; (b) high financial and time costs; and (c) the need of a large number of raters to guarantee the reliability of the results. One way to circumvent such adversities is the usage of Heuristic Evaluation given its simplicity, low cost of application and the quality of reached results. This article intends to conduct an empirical methodological study about the use of three of such methods (Zuk et al., Forsell & Johansson and Wall et al.) for evaluation of visualizations in the context of Educational Timetabling Problems. Five different visualizations were evaluated using the original methods and versions modified by the current authors (where an importance factor was assigned to each statement being evaluated, as well as the rater’s level of confidence) in order to improve their efficiency when measuring the quality of visualizations. The experimental results demonstrated that for the two first heuristics, only the modification on the importance of the statements proved to be (statistically) relevant. For the third one, both factors did not induce different results.
MODALITY IN LINGUISTIC BEHAVIOR IN TRANSLATION OF AL-MULK: PRAGMATIC ANALYSIS

This research aims to analyze the modalities contained in the Al-Mulk, using the Pragmatics Leech and Searle in Rahardi (2003) and Alwi (1992) approaches, as well as descriptive analytical methods. Leech proposed four types of illocutionary related to social goals and maintenance of linguistic behavior, while Searle revealed five illocutionaries based on the criteria. The results of the study found that in Al Mulk's there is a modalitay that refers to what was stated by Leech and Searle, that is convivial behavior in expressive illocutionary of praising propositions, and commissive illocutionary in the offers proposition. Furthermore, conflictive behavior on expressive illocutionary is found in the form of threatening propositions. Next, competitive behavior in expressive illocution is found in the form of warning propositions. On the other hand, competitive behavior also exists in the directive illocutionary in the form of an ordered proposition, then the begging proposition. Collaborative behavior in directive teaching illocutionary is also found.
A Hybrid Encoding Based Particle Swarm Optimizer for Feature Selection and Classification

Feature selection (FS) is an important issue for classification, which aims to search the optimal feature subset to assist the classification task. Bio-inspired algorithms, such as particle swarm optimization (PSO), have shown superior performances in dealing with feature selection. However, current methods still suffer from local optimal and lack of efficient encoding manner for particles, which results in limited classification accuracy. In this paper, we proposed a hybrid encoding based PSO, HE-PSO for wrapper-based FS, where a novel encoding consisting of both integer and categorical value is applied. The new encoding way considerably takes the interactions between different features into account. In addition, a new updating strategy for particles' positions is developed, which is able to explore and search more promising and better solutions. Experimental results on benchmark data sets validate the effectiveness of our proposed approach in classification accuracy.
A Novel Structural Multiple Birth Support Vector Machine for Pattern Recognition

Multiple Birth Support Vector Machine (MBSVM) is widely used in various engineering fields due to its fast learning efficiency. However, MBSVM does not consider the prior structure information of samples when constructing each sub-classifier, which often has a strong impact on classification. For the disadvantage, we introduce the prior structure information of samples into MBSVM, and propose a novel MBSVM with structure information in this paper, which is called Structural MBSVM (S-MBSVM). The S-MBSVM inherits the advantage of fast learning speed of MBSVM, and fully utilizes the prior structure information of samples, thus improving the generalization performance. Experimental results show that the algorithm has better classification performance than the classical MBSVM.
Quantitative Variability Modeling and Analysis

The explicit management of variability in the development cycle of software-intensive systems has led to a plethora of modeling and analysis techniques tailored to deal with behavioral validation of such configurable systems. Most of the work, however, focuses on qualitative (i.e. functional) requirements. Recently, there is growing interest in variability modeling and analysis techniques that do explicitly consider quantitative (i.e. non-functional) requirements, such as dependability, energy consumption, security, and cost.Today's software is embedded in a variety of smart and critical systems that run in environments where events occur randomly and affect the system, and to which it needs to adapt. Therefore, quantitative modeling and analysis is currently a hot topic. The panel on Quantitative Variability Modeling and Analysis (QSPL) discusses the latest quantitative techniques and how to apply them to variability modeling and analysis of software-intensive systems.
LibGuides: Data Resources for Poltical Science and Political Scientists: Citation and Replication

How to cite data, and examples of expectations of transparency and reproducibility in data analysis.
PERAN KEPALA SEKOLAH DALAM MENANGGULANGI KENAKALAN SISWA SMP SWASTA IRA MEDAN

This study aims to determine (1) how the role of the principal in dealing with student delinquency at the IRA Medan Private Junior High School, (2) how the supporting factors faced by the principal in overcoming student delinquency in IRA Medan Private Junior High School, (3) and how the inhibiting factors are faced by school principals in overcoming student delinquency at IRA Medan Private Middle School. This research is a qualitative research using descriptive research methods. This research has the character of describing, telling, and producing existing data and producing descriptive data in the form of written / spoken words from people and observable behavior and the data is statement in nature. The technique of collecting data is done through observation, interviews, and documentation. The data analysis technique is descriptive qualitative. Applying data validity, and using data tringulation techniques, namely data validity checking techniques that use as a source outside the data as comparison material..
Designing a Trustworthy Voice User Interface for Payments and Transactions- A study in user experience design

Talking to computers originated as a science fiction element but is now becoming a reality with the developments of Intelligent Personal Assistants from big companies such as Google, Apple, Microso ...
Focus ToSM Application as an Android-based Second Mathematics Instrument

This research aimed to find the students focus level that was taken from the second mathematic manual instrument and was applied in the Android platform to facilitate the usage and could be accessed by anyone and anywhere. This research used the waterfall method in communication, planning, application modelling, coding, testing, and marketing stages. The results showed that the Android-based Focus ToSM was in an adequate category based on the conducted tests. The tests, among others, were material expert validation test that obtained 86.67%, media expert validation test with the result of 90.83%, and application implementation that got 90.33% that was conducted in Public Junior High School 1 Slawi from 30 students as the sample.
STRATEGI PENANGANAN BANJIR BERBASIS MITIGASI BENCANA PADA KAWASAN RAWAN BENCANA BANJIR DI DAERAH ALIRAN SUNGAI SEULALAH KOTA LANGSA

Langsa City is a city located in Aceh Province, Indonesia. Recently there was heavy rain in the upstream area of the Krueng Langsa River Basin, which resulted in flooding in the area and overflowing of the river in Langsa Kota Subdistrict, Langsa City, Aceh. According to the head of the Aceh Disaster Management Agency (BPBA), Sunawardi, the overflowing of the Krueng Langsa hit the Java Rear Village and Seulalah Village with the water level reaches 50 centimeters. The purpose of this research is to identify studies of flood disaster risk in flood prone areas in Langsa City, and formulate flood mitigation-based strategies for disaster mitigation in flood prone areas in Langsa City. This research uses quantitative analysis method with overlay/superimpose analysis approach to analyze the level of vulnerability, hazard level and risk level of flood disaster. Strategy for flood mitigation based on disaster mitigation in flood prone areas in Langsa is divided into two, namely: (1). Structural mitigation in the form of explanations regarding the construction of flood control buildings such as making embankments, making drainage network structures, and making drop structures; (2) Non-structural mitigation in the form of training and simulation of disaster mitigation, as well as evaluating policies on reducing the risk of flood disasters in flood prone areas in Langsa City, Aceh, Indonesia.
Which Abilities and Attitudes Matter Most? : Understanding and Investigating Capabilities in Industrial Agile Contexts

Background: Over the past decades, advancements in the software industry and the prevalence of Agile Software Development (ASD) practices have increased the prominence of individual and interperson ...
LibGuides: Equity, Diversity & Inclusion: E.D.I. Resources

Resources for studying, reflecting, and taking action in issues of diversity, equity, and inclusion Resources provided by the SCF Libraries