Reviewerly/exHarmony huggingface dataset:
El clima escolar como estrategia neuropedagógica para la gestión de conocimiento

En los ultimos anos se ha introducido en la ensenanza toda una serie de diversos recursos, algunos de caracter cientifico como la neurociencia y su aplicacion a los procesos educativos denominado comunmente neuropedagogia; y otros de indole tecnologicos, apoyados en las llamadas tecnologias de punta, como el satelite, la videoconferencia y un cumulo de plataformas computacionales, convertidas en una especie de sinapsis que nutre de informacion el pensamiento social.En un principio, estas tecnologias fueron aplicadas principalmente en los programas de educacion y hoy dia, su uso es mas frecuente en las aulas de clases en cada uno de los niveles de aprendizaje, desde la basica primaria hasta el ciclo universitario. Lo anterior implica un cambio de actitud docente frente a su compromiso de ensenanza. La dinamica, el ritmo y el flujo de informacion, exige una transformacion en el rol del docente, para comprender mejor y construir conocimientos a una nueva realidad mas compleja e incierta.El siguiente articulo es un enfoque analitico sobre como se puede aplicar la neuropedagogia en entornos escolares. Al mismo tiempo, se estudia el papel del clima social escolar como estrategia neuropedagogicas en la gestion del conocimiento. Palabras Claves : Neuropedagogia, clima escolar, gestion de conocimiento, ambiente educativo. ABSTRACT In recent years a whole series of diverse resources have been introduced into teaching, some of a scientific nature such as neuroscience and its application to educational processes commonly called neuropedagogy; and others of a technological nature, supported by the so-called state-of-the-art technologies, such as satellite, videoconferencing and a cluster of computer platforms, converted into a kind of synapse that nourishes social thinking information. The teacher of the 21st century is not the same as in the past, the world is changing and changes nourish science and with it the responsibility of the educator, to appropriate methodologies that make him understand, what are the interests of the student, how He thinks, why he acts that way, why his behavior is often undesirable in social contexts and why the eagerness to make few assertive decisions in the face of a problem that arises in the environment of which he is an active part.The following article is an analytical approach to how neuropedagogy can be applied in school settings. At the same time, the role of the social school climate as a neuropedagogical strategy in knowledge management is studied. Keywords : school climate, neuropedagogy, learning, knowledge management, educational environment..
Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms

Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an importa ...
Necessary and Sufficient Criteria for Gaussian Quantum Teleportation

Quantum teleportation (QT) serves as one of the building blocks of the current state information science and technology which necessitates proper characterization of the resources yielding QT. While entanglement is known to be the basic requirement to achieve QT, condition of sufficiency for QT still remains an open question. Here, we provide an analytic proof that in the case of Gaussian entangled resources, in general, Einstein-Podolsky-Rosen (EPR) correlation is {\em sufficient for QT}. For a relatively restricted set of Gaussian states we provide even a tighter condition that EPR correlation is {\em both necessary and sufficient for QT}. Our results, in turn, provide a complete characterization of the resources required for QT.
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information

The failure of a complex and safety critical industrial asset can have extremely high consequences. Close monitoring for early detection of abnormal system conditions is therefore required. Data-driven solutions to this problem have been limited for two reasons: First, safety critical assets are designed and maintained to be highly reliable and faults are rare. Fault detection can thus not be solved with supervised learning. Second, complex industrial systems usually have long lifetime during which they face very different operating conditions. In the early life of the system, the collected data is probably not representative of future operating conditions, making it challenging to train a robust model. In this paper, we propose a methodology to monitor the systems in their early life. To do so, we enhance the training dataset with other units from a fleet, for which longer observations are available. Since each unit has its own specificity, we propose to extract features made independent of their origin by three unsupervised feature alignment techniques. First, using a variational encoder, we impose a shared probabilistic encoder/decoder for both units. Second, we introduce a new loss designed to conserve inter-point spacial relationships between the input and the learned features. Last, we propose to train in an adversarial manner a discriminator on the origin of the features. Once aligned, the features are fed to a one-class classifier to monitor the health of the system. By exploring the different combinations of the proposed alignment strategies, and by testing them on a real case study, a fleet composed of 112 power plants operated in different geographical locations and under very different operating regimes, we demonstrate that this alignment is necessary and beneficial.
The Techniques for Teaching Speaking in English Language Public Speaking Program at Assalaam Boarding School

This study aims to identify the techniques used by the tutors to teach public speaking at As-Salam Islamic Boarding School and the problems faced by the teacher in teaching public speaking. The type of this research is qualitative research. Data collection was done interviewing the mentor of Public Speaking in As-Salam Islamic Boarding School. To analyze the data, the researcher took the procedures, namely collecting the data, Organizing and preparing the data, Coding and preparing the data, Classifying and categorizing the data, Connecting and relating the data, and providing the meaning and make conclusion of the research. The finding shows that the techniques used by the mentor are group discussion, memorizing vocabulary, and perform the public speaking. And the problem face by the tutor in teaching public speaking are the influence of the number of audience, fear due to different generations. The conclusion of this research based on the research held at Assalam Boarding school is that fear of public speaking is a learned skill and can be overcome by practicing and rehearsing before presentations or speeches and people who experience public speaking anxiety can perform as well as those who have a good command over public speaking.
Algorithm for Multilple Player Last Nim for Any Alliance System

The Last Nim game is an impartial combinatorial game studied only in the case of the standard alliance matrix. In this paper, we consider the Last Nim game with N linearly ordered nonempty piles containing counters, and n players for any alliance matrix. For this, we give an algorithm to get the winner, the tree of all possibilities of the game, and the best strategy for the winner. For the practical result, we implement this algorithm using C++ language and give some examples.
A Study on the Strategy of Question in Grammar Education for Elementary School

이 연구의 목적은 초등 문법 교육에서 학습자 중심 수업을 위해 필요한 질문 전략의 문법 교육적 수용 방안에 대하여 고찰한 후, 질문 전략의 유형에 따른 시사점을 바탕으로 질문 전략 구현 방안을 모색하는 데 있다. 질문 전략은 교과서 질문, 교사 질문, 학생 질문으로 유형화할 수 있다. 그동안 문법을 다루는 교과서 질문은 단편적인 지식을 요구하는 사례가 많았으며, 교사 질문에서도 폐쇄적 질문을 통해 상호작용이 이어지는 데 제한적이었음을 알 수 있다. 이 결과 학생 질문 생성 활동이 적극적으로 이루어지지 않았다. 학생 질문은 교수·학습에서 요구하는 목적 지향적 활동으로서 교과서 질문이 지원하고 교사 질문이 상호작용함으로써 생성될 수 있다. 이에 따라 교과서 질문은 개방적으로 다양하면서도 연계성이 높게 제시되어야 하며, 교사 질문은 상호작용을 높일 수 있도록 하되, 허용적 분위기에서 제시되어야 한다. 학생은 문법적 지식에 부담을 줄이고 절차적 지식을 기반으로 할 때 질문 생성 활동이 활발해질 수 있게 된다. 문법 교육에서도 효과적 질문이 이루어질 때 비로소 2015 개정 교육과정이 요구하는 학생 참여 수업이 이루어질 수 있다.The purpose of this study is to discuss strategy questions for learners in grammar education. Therefore, we will look at the types of questions and their implications, and we will suggest how to ask questions in grammar education. Questions can be formatted into three categories: textbook questions, teacher questions, and student questions. In the past, textbook questions often asked for knowledge, while teacher questions asked for simple answers. As a result, the students did not ask many questions. For effective learning, textbook, teacher and student questions must be changed. Textbook questions should be presented in many ways. Instead of asking what or where, you should ask how . A teacher should ask a question in an acceptable way. Questions should be asked by analysis , classification and statement , allowing students to reduce the burden and ask more questions. Students should learn basic grammar knowledge before class. Grammar education requires a lot of discussion about questions used in student classes
Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction

Developing a reliable parametric cost model at the conceptual stage of the project is crucial for projects managers and decision-makers. Existing methods, such as probabilistic and statistical algorithms have been developed for project cost prediction. However, these methods are unable to produce accurate results for conceptual cost prediction due to small and unstable data samples. Artificial intelligence (AI) and machine learning (ML) algorithms include numerous models and algorithms for supervised regression applications. Therefore, a comparison analysis for AI models is required to guide practitioners to the appropriate model. The study focuses on investigating twenty artificial intelligence (AI) techniques which are conducted for cost modeling such as fuzzy logic (FL) model, artificial neural networks (ANNs), multiple regression analysis (MRA), case-based reasoning (CBR), hybrid models, and ensemble methods such as scalable boosting trees (XGBoost). Field canals improvement projects (FCIPs) are used as an actual case study to analyze the performance of the applied ML models. Out of 20 AI techniques, the results showed that the most accurate and suitable method is XGBoost with 9.091% and 0.929 based on Mean Absolute Percentage Error (MAPE) and adjusted R2. Nonlinear adaptability, handling missing values and outliers, model interpretation and uncertainty have been discussed for the twenty developed AI models. Keywords: Artificial intelligence, Machine learning, ensemble methods, XGBoost, evolutionary fuzzy rules generation, Conceptual cost, and parametric cost model.
EXPLORING THE LANGUAGE USE IN WHATSAPP AS STUDY PRAGMATICS

Pragmatics is one of study linguistic, which was being applied by the particular utterances as the relationship between linguistics form and the users of its form. For the specific study, the writer narrowed a subject of the research by headlining and conducting an observation to the structural classification analysis of conversation and preference structure in WhatsApp emoticon usage, as Yule (1996) had mentioned the types of structural classification in the first part of conversation such as proposal, offering, requesting, and giving assessment along with the second part as the response utterances either preffered or dispreffered that were also occurred in adjacency pair covered in several expressions such as questioning sequence, insertion sequence, thanking expression, and parting expression that had been found in 11 data resources of chatting were also ensured the confirmation of WhatsApp emoticon contextual meaning by distributing the questionnaire to the 36 other users that were accumulated using percentage and described qualitatively into the data analysis. As the result, it had been found considerable responses argued that WhatsApp emoticons are becoming the importance tools as an online facilitator for communication with the primary reason that emoticons can enhance the messages and can help to express emotions or feelings.
Pengaruh Motivasi Belajar Dan Lingkungan BelajarTerhadap Prestasi Belajar Mahasiswa Pg-Paud Fkip UMS

VINA AULIA AL HAQ / A520150008. THE EFFECT OF LEARNINGMOTIVATION AND LEARNING ENVIRONMENT ON LEARNINGACHIEVEMENT OF FKIP UMS PG-PAUD STUDENTS. Thesis, Faculty ofTeacher Training and Education, University Muhammadiyah of Surakarta. In May,2019.The purpose of this study was to find out 1) The effect of learning motivation andlearning environment on the learning achievement students of Early ChilhoodEducation. 2) The relative contribution of learning motivation and learning environmentto student learning achievement. 3) Effective contribution of learning motivation andlearning environment to student learning achievement. This research includes the type ofdescriptive research. The population was 164 students with 63 samples taken bypropotionate stratified random sampling technique. Data collection on learningmotivation and learning environment was conducted through questionnaires, whilelearning achievement data was collected through documentation in the form oftranscripts of value. Data were analyzed using multiple linear regression. The results ofthe study answered. 1) there is a positive effect of learning motivation and learningenvironment on learning achievement, this is indicated by the F value of 53.069 with asmaller significance level of 0.000 <0.05, and the R square value of 0.639 which meansthat the independent variable can explain the dependent variable of 63.9%. 2) learningmotivation contributes 31% relative to learning achievement, and the learningenvironment contributes 69% relative to learning achievement. 3) Learning motivationgives an effective contribution of 19.81% to learning achievement, while the learningenvironment makes an effective contribution of 44.1%. Total effective contribution is63.91% while 36.09% of the other variables are not examined.
Developing Moodle E-Learning Media to Teach Descriptive Text Writing

&lt;p&gt;This research was conducted based on the researcher’s observation that every student and teachers had facilities for using e-learning system, but they couldn’t use it effectively. The aims of this research were 1) to explain the extent to which the product development needed to teach the writing of descriptive text; 2) to explain how the media potentially developed through Moodle e-learning media to teach descriptive text writing; 3) to explain the effectiveness of Moodle e-learning media to teach descriptive text writing. The subject of this research was students at tenth grade of SMK NU Ma’arif 01 Semarang. The scientific involved 47 students. 22 students were in the control class, and 25 students were in the experimental class. The data were collected through pre-test and post-test. The result of this research described as follow: 1) the extent needed of developing Moodle e-learning media is as follow: a) the students’ need analysis mentioned in the rate 96%, that students agreed toward Moodle e-learning media because it was very helpful. b) the total of validation result from expert validation 1 and 2 was 79.1% 2) The researcher developed Moodle e-learning media was done by using seven steps R and D research adapted by Borg and Gall. 3) the effectiveness of product supported by the results of students posttest that obtained 76.04. Based on those findings, this Moodle is valid to be implemented in an English learning process.&lt;/p&gt;
On the role of edge orientation in stereo vision

As a biologically inspired guess, we consider two stereo information channels. One is the traditional channel that works on the basis of the horizontal disparity between the left and right projections of single points in the 3D scene; this channel carries information regarding the absolute depth of the point. The second channel works on the basis of the projections of pairs of points in the 3D scene and carries information regarding the relative depth of the points; equivalently, for a given azimuth disparity of the points, the channel carries information of the ratio of the orientations of the left and right projections of the line segment between the pair of points.
Pfeiffer Library: DEC250 Engage & Explore (Online): Using the Library

Library guide to accompany the online, 7-week version of DEC250 Engage & Explore DragonQuest and searching for content on the library's website
An Analysis of Characteristics of the Middle School Students with Learning Disabilities Based on Occurrence and Subtypes

본 연구에서는 경기도 A중학교 전교생을 대상으로 발생시기에 따른 중학교 학습장애 학생들에서 나타나고 있는 학습장애 하위유형별 특성을 분석하고 이에 따른 중복 학습장애의 출현 경향을 살펴보고자 하였다. 연구결과 A중학교 학습장애 학생은 전체의 약 24.8%로 분포하였고, 초등학교 때부터 계속 학습의 어려움을 겪어온 학습장애 학생의 경우 전체의 약 8.5%, 중학교 이후 늦게 학습의 어려움을 겪는 학습장애 학생의 경우 전체의 약 9.5%로 나타났다. 늦게 등장하는 학습장애의 중복 학습장애 정도는 읽기장애 내 중복은 3.6%, 수학장애 내 중복은 13.6%, 쓰기장애 내 중복은 25.5%로 나타났고, 영역 간 중복은 읽기와 수학장애 중복은 5.9%, 읽기와 쓰기장애 중복은 17.6%, 수학과 쓰기장애 중복은 21.6%로 나타났고, 읽기, 쓰기, 수학 모두 중복을 보이는 경우가 25.5%로 가장 높게 나타났다. 초등학교 때부터 학습의 어려움을 가지고 있었던 학습장애 학생의 경우, 읽기장애 내 중복은 0.9%, 수학장애 내 중복은 21.4%, 쓰기장애 내 중복은 24.1%로 나타났고, 영역 간 중복은 읽기와 수학장애 중복은 2.1%, 읽기와 쓰기장애 중복은 10.4%, 수학과 쓰기장애 중복은 35.4%, 읽기, 쓰기, 수학 모두 중복을 보이는 경우는 39.6%로 가장 높게 나타났다. 본 연구 결과는 중학교 학습장애의 경우 발생시기와 하위 유형별 중복장애의 문제로 인해 초등학교 학습장애보다 높은 이질성을 가짐을 보여주었다. 이러한 결과를 토대로 발달적 특성에 따른 중학교 학습장애 학생에 대한 학생 및 학교 수준의 개입에 대한 시사점을 논의하였다.The purpose of this study was to investigate the incidence trends of learning disabilities in middle school students and to investigate the incidence trends of overlapping learning disabilities in students with learning disabilities. For this purpose, the whole students in one middle school located at Kyonggido were involved for investigating the incidence of learning disabilities and learning disabilities. As a result of the study, about 24.8% of middle school students with learning disabilities and learning disabilities were distributed, and about 8.5% of those who had continuous learning difficulties and learning disabilities from elementary school, of the total. An appearance rate of the late-emerging learning difficulties and learning disabilities was about 9.5% of the total. The overlap of learning difficulties and learning disabilities was found to be 3.6% in the reading, 13.6% in the mathematics, and 25.5% in the writing. The co-occurrence disabilities in reading, writing, and mathematics were the most common (25.5%), while the multiple disabilities in reading and writing (17.6%) and the co-occurrence disabilities in mathematics and writing (21.6%). In the case of showing poor learning and learning disabilities early in elementary school, the overlap difficulties across sub components of reading was 0.9%, the overlap difficulties across sub components of mathematics was 21.4%, and the overlap difficulties across sub components of writing was 10.4%. The co-occurrence disabilities in reading and writing was 10.4%, the co-occurrence disabilities in reading and mathematics was 35.4%, and the co-occurrence disabilities in mathematics and writing was 39.6%. The results of this study showed that middle school learning disabilities have higher heterogeneity than elementary school learning disabilities due to the occurrence time and overlapping subtypes of learning disabilities. Based on these results, implications for student- and school- level intervention for middle school students with learning disabilities according to their developmental characteristics were discussed.
Tracing Heterogeneities with Polar Compounds in the Shiranish Formation in the Euphrates Graben, Syria

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A Unified Multi-label Relationship Learning

Multi-label learning belongs to the class of supervised learning wherein each sample is represented by a single instance and is associated with a set of relevant labels. Many realworld applications like medical diagnosis and image classification involve multi-label classification wherein label correlations are essential to the performance of the classifier. To utilize this correlation among labels, in this paper, we propose a novel model termed as Unified Multi-label Relationship Learning (UMRL) which considers the explicit and implicit correlation inherent in data to build an effective learning model. We adopt the Accelerated Gradient Method (AGM) to train the underlying optimization model efficiently. Extensive experimental comparisons to state-of-the-art multi-label algorithms demonstrate the validity and effectiveness of our proposed approach.
May the power be with you : managing power-performance tradeoffs in cloud data centers

The overall goal of the work presented in this thesis was to find ways of managing power-performance tradeoffs in cloud data centers. To this end, the relationships between the power consumption of ...
『松亭歲課』와 松亭의 시세계 試探

This paper examines Songjungsegwa, which is the manuscripts of Songjung Ha Soo-il(1553~1612). Songjung is a person who inherited Nammyong' academic genealogy from Kakjae Hahang and delivered to Kyumjae Hahongdo. The research on Ha Soo-il was carried out by professor Lee Sang-pil and professor Jeon Byung- Cheol. Their efforts have revealed major aspects of Songjeong's life, scholarship, and poetry. However, since Songjungsegua, which is a model of the recent Korean poetry, was newly discovered, this study first studied the poetry. As a result, we can reconstruct the life of Songjeong in three dimensions and precisely confirm the age of creation through the Songjeongseonggwa. And it was able to restore the prototype of the work before refining sentences, and to illuminate the aspect of the succession of Jinayang Ha's family on Nammyonghak since Kakjae. In addition, it reveals that the pamphlet contains important information and unique works that are essential for the study of local history and the new aspect of the world of Songjeong.
LibGuides: Don't Forget the Basics: Writing and Grammar E-books: Home

This brief guide provides quick E-book support for writing and grammar for reference any time!
GERAKAN LITERASI SEKOLAH SMA NEGERI 10 PALEMBANG

School Literacy Movement strengthens the movement of growth in character as outlined in the Minister of Education and Culture Regulation No. 23 of 2015. One of the activities in the movement is 15 Minute Activities to Read Non-Learning Books Before Learning Time Begins. This routine activity is carried out to foster interest in reading students / students as well as in order to improve reading skills so that knowledge can be mastered better. reading material contains the values of character, in the form of local, national, and global wisdom delivered according to the development stage of the students. This study wanted to see The extent to which the School Literacy Movement Can Cultivate a Culture of Reading among Palembang State High School Students. Literacy activities develop oral culture. Strong literacy-based class is expected to bring up various oral activities in the form of discussions about books during classroom learning. This discussion activity also needs to open up possibilities for differences of opinion so that critical thinking skills can be honed. Learners need to learn to convey their feelings and opinions, listen to each other, and respect different views. This school literacy habit aims to foster reading interest in reading and for reading activities in school residents. growth of reading interest is fundamental to the development of students' literacy skills.