Reviewerly/exHarmony huggingface dataset:
The Virtual Piano Action: Design and Implementation using Digital Image Processing

The piano is a practical piano design created by a keyboard with real-time engine keys The simulation system on the machines is introduced.Using this simulator, we created anew certain aspects of the grand piano sensation by combining math with numbers a movement of piano accompaniment facilitated in real-time in a human-on-the-loop imitation program.In this paper, the simulation of the release and capture of the hammer is used to present simulator construction.Software module design that controls the simulation models with kinematic transition problems are discussed, including a limited-state machine a driver that allows for the production of rigid body modes that can take on many forms the compression conditions respectively depend on the connection of the working time.I.
Hubungan Antara Keyakinan Diri dengan Perilaku Menyontek pada Remaja

The background of this research is that there are a variety of dishonest behavior including cheating behavior that occurs in adolescents . It shows that youth has a great potential in cheating behavior. Based on the results obtained many teenagers feel confident about her ability and thought he was not going to get good grades without cheating even though they had previously learned. The population of this study Sadewa Health vocational students 96  students  were pick randomly from population. Self efficacy scale from Bandura was used to collect the data and cheating  behavior  test  was made based on Klausmeier. Rank  Spearman  techique was done to analyze  the correlation. Result  showed that  the  correlation  between  self  efficacy  and cheating behavior no significant correlation rho = -0.003 , p > 0.05. the results of the hypothesis is rejected or not proven . Key word: Self- E fficacy, Cheating, Adolescence, Peer, Low Ability The background of this research is that there are a variety of dishonest behavior including cheating behavior that occurs in adolescents . It shows that youth has a great potential in cheating behavior. Based on the results obtained many teenagers feel confident about her ability and thought he was not going to get good grades without cheating even though they had previously learned. The population of this study Sadewa Health vocational students 96  students  were pick randomly from population. Self efficacy scale from Bandura was used to collect the data and cheating  behavior  test  was made based on Klausmeier. Rank  Spearman  techique was done to analyze  the correlation. Result  showed that  the  correlation  between  self  efficacy  and cheating behavior no significant correlation rho = -0.003 , p > 0.05. the results of the hypothesis is rejected or not proven . Key word: Self- E fficacy, Cheating, Adolescence, Peer, Low Ability
El reto de la educación emocional: una propuesta pedagógica para la formación integral del estudiante de la Universidad Técnica de Babahoyo

The professional training of the student of the Technical University of Babahoyo, in the framework of the inter-learning process, is essentially centered in the acquisition of intellectual knowledge, limiting the ethical and axiological aspects, which still implies it is not possible to emphasize that the training in the context of our University, focuses on training to learn to be and learn to live together, which affects that the students cannot exercise their role as citizens with professional solidity and with responsible ethics. Therefore, the objective of this work is to present a pedagogical strategy for the development of emotional education, in such a way that it contributes to the integral formation of the student of the Technical University of Babahoyo, with the emotional competencies that allow the resolution of the diverse problems of the formative process, personal, family, professional and social.
Assessment of Heavy Metals in Soils Samples from Lambun Sarki Irrigation Sites of Katsina Metropolis

Increase in environmental pollution caused by heavy metals released from anthropogenic activities due to ongoing rapid economic boost of industrialization and urbanization is becoming a global environmental problem due to their toxic and non-biodegradable nature. In this study, determination of heavy metals was conducted in soil sample obtained from Lambun Sarki irrigation site in Katsina metropolis, Nigeria. The sample was prepared in the laboratory using aqua regia acid digestion. Afterward, heavy metals (Cr, Cd, Cu, Pb, and Zn) were determined using Atomic Absorption Spectrophotometer (AAS) and the results obtained revealed that the soil from the area was heavily contaminated with Cadmium and Lead in comparison to the World Health Organization (WHO) and Nigerian Federal Environmental Protection Agency (FEPA) permissible limits. Further, observation shows that there exists a gradual red-shift in the level of these heavy metals as evident from the results obtained. The contamination of the soil by Pb and Cd could be associated with the anthropogenic activities being carried out around the farmland and the sewage water used in irrigation.
Adoption hurdles faced by organizations embracing SAFe

Agile methodology has gained wide adoption. Agile methodology, with its iterative and incremental approach for software development, has gained popularity within IT organizations that are facing a ...
File Naming Convention Worksheet

This worksheet walks researchers through the process of creating a file naming convention for a group of files. This process includes: choosing metadata, encoding and ordering the metadata, adding version information, and properly formatting the file names. Two versions of the worksheet are available: a Caltech Library branded version and a generic editable version.
LibGuides: Staley Library & COVID-19: COVID-19 Resources

This guide provides information about current library services, resources, and research & instruction support in light of the COVID-19 epidemic.
LibGuides: A Guide for Understanding (and Acting on) Privacy and Safety Online: Organisations

This guide will explore online privacy, safety, and the ethical questions around the online environment.
APPLYING SMART (SELF-MONITORING APPROACH TO READING AND THINKING) STRATEGY FOR ENHANCING STUDENTS’ SKILL IN READING COMPREHENSION

Reading is essential either for students’ careers or for study purposes. In the same time, it is a complex skill that involves all of higher mind in order to understand what is read.  Many students find it hard to read. Among the reading problem exhibited by students at secondary school is the inability to bring out fact from the passage, poor retention and recall of what is read, and a weak vocabulary base. Therefore, the aim of this study was to find out whether or not there was a significant difference in reading achievement between the students who were taught by using Self-Monitoring Approach to Reading and Thinking (SMART) Strategy and that of those who were not. Quasi-experimental method and nonrandomized pre-test post-test control group were used. The sample was chosen by using purposive sampling method. Content validity was used to check the validity and try out  was applied to find out the reliability of the test. Reading comprehension test in the form of multiple-choice was used in collecting the data. In analyzing the data, t-test was used. Then SPSS Program version 16 was used to calculate the data. The result showed that the mean difference between posttest in the experimental and control group was 21.90, tobtained was 11.08, and the critical value of ttable was 1.99. Since tobtained (11.08) was higher than ttable (1.99) and pvalue (0.00) was less than άvalue (0.05). It meant that there was a significant difference in students’ reading achievement between the students who were taught using Self-Monitoring Approach to Reading and Thinking (SMART) strategy and that of those who were not.
Mutlimodal Fusion of Human Behavioural Traits: A Step Towards Emotionally Intelligent Human-Robot Interaction

With the technological advancement in the field of robotics, it is now quite practical to acknowledge the actuality of social robots being a part of human's daily life in the next decades. Concerning HRI, the basic expectations from a social robot are to perceive words, emotions, and behaviours, in order to draw several conclusions and adapt its behaviour to realize natural HRI. Henceforth, assessment of human personality traits is essential to bring a sense of appeal and acceptance towards the robot during interaction. Knowledge of human personality is highly relevant as far as natural and efficient HRI is concerned. The idea is taken from human behaviourism, with humans behaving differently based on the personality trait of the communicating partners. This thesis contributes to the development of personality trait assessment system for intelligent human-robot interaction. The personality trait assessment system is organized in three separate levels. The first level, known as perceptual level, is responsible for enabling the robot to perceive, recognize and understand human actions in the surrounding environment in order to make sense of the situation. Using psychological concepts and theories, several percepts have been extracted. A study has been conducted to validate the significance of these percepts towards personality traits.The second level, known as affective level, helps the robot to connect the knowledge acquired in the first level to make higher order evaluations such as assessment of human personality traits. The affective system of the robot is responsible for analysing human personality traits. To the best of our knowledge, this thesis is the first work in the field of human-robot interaction that presents an automatic assessment of human personality traits in real-time using visual information. Using psychology and cognitive studies, many theories has been studied. Two theories have been been used to build the personality trait assessment system: Big Five personality traits assessment and temperament framework for personality traits assessment.By using the information from the perceptual and affective level, the last level, known as behavioural level, enables the robot to synthesize an appropriate behaviour adapted to human personality traits. Multiple experiments have been conducted with different scenarios. It has been shown that the robot, ROBIN, assesses personality traits correctly during interaction and uses the similarity-attraction principle to behave with similar personality type. For example, if the person is found out to be extrovert, the robot also behaves like an extrovert. However, it also uses the complementary attraction theory to adapt its behaviour and complement the personality of the interaction partner. For example, if the person is found out to be self-centred, the robot behaves like an agreeable in order to flourish human-robot interaction.
A Study on Portfolio Optimization for Power Transformer Asset Management

Globally, power systems have grown rapidly and steadily as power demand increases. Recently, utilities are demanding an optimized investment management system that meets the company"s Key Performance Index (KPI) to manage a number of aging power installations. However, most utilities are following a simple method of estimating replacement, repair, and maintenance costs according to a given budget, which makes it difficult to manage an optimized budget. Therefore, this paper proposes an portfolio optimization method for transformer asset management based on Health and Risk Index. The effectiveness of the proposed investment optimization method is verified through simulation for the power transformers.
PENGARUH METODE SHOW AND TELL TERHADAP KETERAMPILAN BERBICARA ANAK USIA 5-6 TAHUN DI TK XAVERIUS 3 BANDAR LAMPUNG

The research goal was to know the influence of Show and tell method implementation toward speaking skill on 5-6 th aged in Xaverius 3 Kindergarten Bandar Lampung. The research was quasi experiment with used design one group pretest-posttest design. The researcher used saturation sampling for 30 students. The collecting data technique used pretest and posttest. The data were analyzed by t-test. Based on t-test calculation, H a was accepted. T-score pretest and posttest result showed t hit = 13.4 and t tabel = 1.69 (t hit > t tabel ). Based on the result, there was influence of show and tell toward speaking skill on 5-6 th in Xaverius 3 Kindergarten Bandar Lampung. Keywords: Show and tell Method, Speaking Skill.
Ellipsis Translation for a Medical Speech to Speech Translation System

In diagnostic interviews, elliptical utterances allow doctors to question patients in a more efficient and economical way. However, literal translation of such incomplete utterances is rarely possible without affecting communication. Previous studies have focused on automatic ellipsis detection and resolution, but only few specifically address the problem of automatic translation of ellipsis. In this work, we evaluate four different approaches to translate ellipsis in medical dialogues in the context of the speech to speech translation system BabelDr. We also investigate the impact of training data, using an under-sampling method and data with elliptical utterances in context. Results show that the best model is able to translate 88% of elliptical utterances correctly.
OntoSemStats: An Ontology to Express the Use of Semantics in RDF-Based Knowledge Graphs

For many users or automated agents, working with knowledge graphs may be a complicated task. Indeed, multiple tools using knowledge graphs rely on semantics to perform at their best. For example, in the context of data integration, some instance matching tools use semantic features such as functional and inverse functional properties or disjoint classes to discover instances that are the same (or not). Hence, in many cases, conducting an exploratory study is required to discover which semantic features are used or defined in a knowledge graph. In this paper, we propose an ontology and a large-scale ontology-based Web service that provides statistics about the use of OWL 2 and RDFS semantic features (e.g. functional properties or subclasses) in knowledge graphs. This will allow a human or automatic agent to choose the most appropriate tool or data for a given task. It also gives the data publishers a clear picture about the semantics they provide to data consumers. These statistics are represented in the form of an RDF graph (with different serialization possibilities), making them easy to use and share.
Email Spam Detection using Recurrent Neural Network

Email is one of the mobile communication services that allows easy and inexpensive communication. Producing unwanted messages with the aim of advertising or harassment and sending these messages on Email have become the biggest challenge in this service. Various methods have been presented to detect unsolicited short messages; many of which are based on machine learning. Neural Networks have been applied to separate the unwanted text messages known as spam from normal short messages known as ham in Email. To the best of our knowledge, Recurrent Neural Network (RNN) has not been used in this issue yet. In this paper, we proposed a new method which utilizes RNN to separate the ham and spam with variable length sequences, even though we used a fixed sequence length. The proposed method, indicates a considerable improvement compared to Support Vector Machine SVM, token-based SVM and Bayesian algorithms.  There are two main types of methods to detect unwanted EMAIL: techniques along with user participation and content-based methods. Methods based on user participation are based on feedback from users and sharing their experiences. Because of the problems associated with data access and user experience, these methods are rarely used, but content-based methods act based on content analysis of text messages and are more common.
PROBLEMS TO SPEAKING ENGLISH OF ENGLISH DEPARTMENT STUDENTS AT UNIVERSITY OF DARMA AGUNG MEDAN

Studying English for at least seven years does not necessarily make students proficient in practicing English language learned include speaking. When the ability to use English orally has become one of the factors to get a good knowledge, economic independence and job security, it is deemed necessary to find out what problems are the students have to speaking English in order  to build strategies to overcome the problems to students' speaking ability in the future. Thirty persons from second semester students of English department at University of Darma agung Medan participated in this study. The data regarding students’ English  speaking were collected through  questionnaire and speaking test. This study  found that students experienced problems to speaking English. It was also revealed that the major problems of the students to speaking English due to the lack of effective transition of knowledge into practice which is caused by the lack of English basic knowledge and the influence of first language used, the disadvantaged socioeconomic factor, non-English classroom instructions, and English speaking anxiety.
The Inspiring English Lecturers of the English Education Department at IAIN Samarinda

The successful of teaching and learning process is cannot be separated from the lecturers' role that inspiring the students. An inspiring English lecturer should be possessed at least three skills namely attitudinal skills, teaching technical strategy, and students’ changes in learning English. In teaching strategy skills, it has the other indicators of being an inspiring English lecturer such as a) preparation; b) planning and development curriculum; c) use curriculum framework; d) clear targets and objectives of teaching; e) developing strategy and planning activities of teaching; f) designs of appropriate learning modules; g) planning classroom activities; h) finding new innovative teaching strategies; i) finding newest references; j) good classroom management. In teaching strategy to university students, the lecturer should be more interesting, creative and able to keep the students away from getting bored. In order to keep the students' away from getting bored in learning English, the lecturers had to use good teaching strategy. The objectives of this research are: (1) to know the teaching plan of the English lecturers based on teaching strategy; (2) to the teaching implementation of the English lecturers based on teaching strategy in English Education department. The design of this research is descriptive qualitative. The subject of this research is English Education Department of IAIN Samarinda. In this study, the researcher used a questionnaire guide and an observation sheet. The result of this research is that all of the lecturers of English Department of IAIN Samarinda is an inspiring person who always prepares the lessons well. This indicates that all students of English Education Department of IAIN Samarinda more appreciation with the statement. Meanwhile, the statement that shows the lowest responses is found on the statement of an English lecturer should think hard to find the latest references in their instructions. This indicates that a huge number of these indicators had not yet owned by IAIN English lecturers Samarinda.
Features of valuable relations teacher in the context of professional activity

This article clarifies the essence of the concepts of “value”, “attitude”, “value relation”; the structural components of the definition of “value relation” are highlighted, characteristic features are described; defined the emotional-value attitude of teachers to their professional activities as the basis for the orientation of their installation field; the results of a pilot study of the emotional-evaluative component of the semantic attitude of teachers are highlighted, which made it possible to distinguish five types of the value attitude of teachers to participants in the educational process.
Nature Exploitation In Dr. Seuss’ Movie Script “The Lorax” Using Ecocriticism Theory By Cheryll Glotfelty

This study entitled “Nature Exploitation In Dr. Seuss’ Movie Script ‘The Lorax’ Using Ecocriticism By Cheryll Glotfelty”. The study emphasized analysis of the relationship between human and physical environment such as nature. The research methodology used in this study is the descriptive qualitative method by describing, interpreting, and analyzing the collected data to build an understanding of the relationship between human and nature in “The Lorax”. To complete the study, the data were analyzed using Cheryll Glotfelty’s theory as the basic concept and frameworks. Based on the analysis, the content is about Once-ler as the character has some negative relationships with nature. In ecocriticism, there is some relationship between human and nature in negative and positive things, therefore, in this analysis Once-ler as a character is directly exploiting the nature.Keyword: Ecocriticism, Cheryll Glotfelty, Exploitation, “The Lorax”
Target analysis based anomaly detection in surveillance videos

Abnormal behavior detection in surveillance video is a pivotal part of the intelligent city. Most of the existing methods only consider how to detect anomalies, with less considering to explain the reason of the anomalies. In this work, we investigate an orthogonal perspective based on the reason of these abnormal behaviors. We propose a multivariate fusion method that analyzes each target through three branches: object, action and motion. The object branch focuses on the appearance information, the motion branch focuses on the distribution of the motion features, and the action branch focuses on the action category of the target. The information that these branches focus on is different, and they can complement each other and jointly detect abnormal behavior. The final abnormal score can then be obtained by combining the abnormal scores of the three branches. In the action branch, we also propose an action recognition module using inter-frame information to solve the multi-target and multi-action recognition in the surveillance video, which is not utilized before in the anomaly detection field. The proposed method outperforms the state-of-the-art methods and also can explain why the target is detected as an anomaly.
Sustainable Development Goals: the information literacy connection

Sustainable Development Goals and Information Literacy are two flagship programs for UNESCO and hence for many organizations in the world. Understanding and appropriately implementing the directions and strategies embedded in these important ideas is potentially both life and world changing. Each one is typically discussed separately; although links continue to be made between them, especially in this conference. In this presentation, I propose information literacy as a connecting thread between the SDGs, and a cornerstone in the realization of SDGs. Information literacy is important to the achievement of all SDGs; and together IL and SDGs form a strong rope, intertwined resources for operationalizing empowerment. The first part of the presentation will propose a rich way of thinking about information literacy, also known as informed learning. I describe informed learning as being about the experience of using information to learn. Informed learning enables social empowerment by supporting engagement with information, and the communal and collaborative using of information, in both informal and formal contexts.
Library Guides: PL-2005: How to Get There: Step-by-step With Photos

The PL building is complicated! Here's how to find PL-2005, the instructional lab where librarians teach classes and give workshops. #workshop, #workshops, #PL-2005, #class in library
RGB Frequency Based Image Steganography

In this paper, we introduced a new RGB technique for image steganography. In this technique we introduced the idea of storing a different number of bits per channel (R, G or B) of a pixel based on the frequency of color values of pixel. The higher color frequency retains the maximum number of bits and lower color frequency stores the minimum number of bits.