Reviewerly/exHarmony huggingface dataset:
EXPERIMENTAL STUDY OF SAVONIUS TURBINE PERFORMANCE ON THE BEACH COAST OF DEMAK DISTRICT OF DEMAK ELECTRICAL POWER GENERATED

Energy from fossil fuels consisting of petroleum, coal, natural gas containing raw material for energy fulfillment in Indonesia is still very central through the use of raw materials from renewable energy is still very low. In Indonesia, the potential for renewable energy such as wind energy needs to be optimized. One of the uses of wind energy is through savonius wind turbine as electricity generators. Characteristics of savonius wind turbine with vertical axis rotors which gave a simple shape, and that able to control low speeds. This is in accordance with regions in Indonesia that have low average speeds. This experimental study aims to determine the description of wind potential and determine the performance of savonius wind turbines on the coast of Demak regency on the electrical energy produced. Savonius wind turbine used is made of galvalume material in the form of an S type rotor with diameter 1.1 m and height 1.4 m, using pulley transmission system with multiplication ratio 1:6 dan using generator type PMG 200 W. This research uses the method experiment. Data collection in the form of wind speed, humidity, temperature, rotor rotation speed, voltage, and an electric current is carried out at 14.30 to 17.30 Western Indonesian Time. Data Analysis in this study uses quantitative descriptive analysis. The result showed the potential of wind on the coast of Demak regency have an average wind speed of 2,02 m/s with a temperature of 31,34 0C and humidity of 76,96. And the performance of the installed wind turbine produces the highest power 3.5 watts with an electric power coefficient of 0,181 and a tip speed ratio around 1,75. From these results, the potential of wind with performance savonius turbine can generate electricity used for pond lighting in the village Berahan Kulon Kecamatan Wedung
A Metropolized Adaptive Subspace Algorithm for High-Dimensional Bayesian Variable Selection

A simple and efficient adaptive Markov Chain Monte Carlo (MCMC) method, called the Metropolized Adaptive Subspace (MAdaSub) algorithm, is proposed for sampling from high-dimensional posterior model distributions in Bayesian variable selection. The MAdaSub algorithm is based on an independent Metropolis-Hastings sampler, where the individual proposal probabilities of the explanatory variables are updated after each iteration using a form of Bayesian adaptive learning, in a way that they finally converge to the respective covariates' posterior inclusion probabilities. We prove the ergodicity of the algorithm and present a parallel version of MAdaSub with an adaptation scheme for the proposal probabilities based on the combination of information from multiple chains. The effectiveness of the algorithm is demonstrated via various simulated and real data examples, including a high-dimensional problem with more than 20,000 covariates.
DETECTING OBJECT OPEN ANGLE AND DIRECTION USING MACHINE LEARNING

Detecting visually salient regions in pictures is prime issues. salient object regions may be a soft decomposition of foreground and background image parts. To observe salient regions in a picture in terms of prominence map. to form prominence map by mistreatment linear combination of colours in High dimensional color area. to enhance the performance of prominence estimation ,utilize the relative location and color distinction between super pixels. To resolve the prominence estimation from trimap by mistreatment learning based mostly formula. to form 3 bench mark datasets it's economical as compared with previous state of art prominence estimation strategies.This is supported Associate in Nursing observation that salient regions typically have distinctive colors compared with backgrounds in human perception, however, human perception is difficult and extremely nonlinear. By mapping the low-dimensional red, green, and blue color to a feature vector in an exceedingly high-dimensional color area, I tend to show that we will composite Associate in Nursing correct prominence map by finding the optimum linear combination of color coefficients within the high-dimensional color area. However, whereas several such models exist. prominence detection has gained tons of attention in image process. In past few years several prominence detection ways are planned. This paper presents varied prominence detection ways To any improve the performance of my prominence estimation, our second key plan is to utilize relative location and color distinction between super pixels as options and to resolve the prominence estimation from a trimap via a learning-based formula. the extra native options and learning-based formula complement the world estimation from the high-dimensional color transform-based formula. The experimental results on 3 benchmark datasets show that my approach is effective as compared with the previous progressive prominence estimation ways.
PENGGUNAAN CITRAAN DALAM MENULIS PUISI KELAS X SEMESTER GENAPMADRASAH ALIYAH MASYARIQUL ANWAR BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The prupose of this researchis is to find out and describe the use of images in writing poetry of class X students in the even semester of Madrasah Aliyah Masyariqul Anwar Bandar Lampung in the academic year 2018/2019. This is used descriptive qualitative method. Data taken from 22 students in class X Madrasah Aliyah Masyriqul Anwar Bandar Lampung. Data collection techniques using the form of assignment. The results of the study can be described as follows. First, the use of visual images, use of hearing images, use of motion images, use of imaging images, use of touch images, and use of olfactory images. Use of imagery as a whole in writing poetry is considered lacking. In the aspect of using visual images students said said to be good, students ratde good in using visual imagery, aspects of the use hearingimages were considered less, aspects of the use of motion were considered good, aspects of the use of motion were considered good, aspects of the useof taste were considered less, aspects of the use of touch imagery were considered good, and aspects of use smell images were considered to be less.
REALTIME EMOTION DETECTION USING KERAS

In many automated device applications, such asrobotics education, artificial intelligence, and Defence,recognition of facial expressions plays a major role. It isdifficult to precisely recognize facial expressions.Approaches to solve the problem of FER (Facial ExpressionRecognition) can be divided into 1) single static images and2) image sequences. Similar methods, historically,Researchers used the Multi-layer Perceptron Model, kNearest Neighbours, Help Vector Machines to solve FER.Features such as Local Binary Patterns, Eigenfaces, Facelandmark features, and Texture features were derived fromthese methods. Among all these strategies, Neural Networkshave gained a lot of popularity and are commonly used forOh. FER. Due to their casual architecture and ability toprovide good results without the need for manual featureextraction from raw image data, CNNs (ConvolutionaryNeural Networks) have recently gained popularity in the fieldof deep learning. This paper focuses on a study of differentCNN-based facial expression recognition techniques. Itinvolves state-of-the-art techniques proposed by variousresearchers. The paper also illustrates the steps needed forFER to use CNN. This paper also provides an overview ofmethods focused on CNN and problems that need focus whenselecting CNN to solve FER
The Philosophical Structure of Story Comprehension: A Study on Human Cognitive System Based on Analysis of Logical Proposition

This paper suggests that, a story perceived to our mind (especially in the form of fables – short yet meaningful) are initially just images. The images are computed by the mind contrasting the different elements of the story (or images) to find the essential part of the story. Such contrast establish “meaning” in our mind which enable us to express the story in its shorter form either in the form of words or logical proposition. In this paper, we will look at how the logical propositions of the stories (may) be constructed. The hypothesis is derived from the idea that the logical proposition that we write on paper is a posteriori to what is established in the mind. If the hypothesis is true, then we have a glimpse of what could be the system of the human mind, thus the system of human nature too in respect to its moral origin and the proper educational method.
Kesesuaian Penilaian Keterampilan Mendengarkan Berita pada Pembelajaran Bahasa Indonesia di SMP N 2 Cawas Klaten dengan Prinsip-Prinsip Evaluasi

Appropriateness of Assessment Skill Listening to News on Indonesian Language Learning in SMP N 2 Cawas Klaten with Evaluastion Principles.The assessment of news listening skills in SMP N 2 Cawas is not in accordance with the existing evaluation principles. The results of the teacher's study still use the principle of random grading, and the adoption of student habits in learning. This is caused by the lack of understanding of the teacher in determining the reference in the assessment and the professionalism of the teacher. The problems examined in this study are (1) how is the process of evaluating news listening skills. (2) tools used in learning to listen. (3) Obstacles experienced in learning assessment listening to the news. This research was conducted in three stages, namely pre-cycle, cycle I and cycle II with the target teacher being able to carry out the assessment with the existing evaluation principles. Based on the results of data analysis in the pre-cycle, cycle I and cycle II it can be concluded that there are improvements experienced by teachers and students in the process of learning listening skills and assessment of listening skills in the news. Based on the teacher pre-cycle that refers to the lesson plan and the evaluation principles reached 45%, and in the first cycle has increased by 60%, marked by the teacher's awareness of the importance of reference assessment in the lesson plan that has been made. And the beginning of the teacher uses the lesson plan as a reference in learning. In cycle II there was a 20% increase in assessing listening skills, marked by the teacher starting to use appropriate teaching media in the lesson plans and starting to assess students in more detail in learning to listen to the news.
Intervenção percutânea coronária e curativos por lesões de pele em sí­tio de punção: revisão integrativa

Objective: To identify literature on skin lesions caused by dressing after percutaneous coronary intervention (CPI). Method: Integrative review, following the steps: establishment of the research question, definition of inclusion and exclusion criteria, categorization and evaluation of studies, interpretation of results and synthesis of knowledge. Using the descriptors Wounds and Injuries; Angioplasty, Balloon, Coronary; Nursing Care; Cardiovascular Nursing; Compression Bandages; Percutaneous Coronary Intervention in Medline, LiLaCS and BDENF bases. It included primary, review articles, in full, all languages, excluding duplicates and not related to the topic. Result: From a total of 91 articles, 17 studies were selected and of these 4 met the criteria. Of 4 articles, 2 were published in the United States, 1 in Denmark and 1 in Switzerland, between 2002 and 2009. Conclusion: We concluded that there is a need for studies on the incidence of these injuries and also that nurses build protocols to guide their duties techniques when assessing the skin, to define the material and dressing technique after IPC.
Arrendale Library: Library & Research Skills Tutorials: Tutorial 2: DISCOVERY Demystified

The contents of this guide show you some basics about the Library's website and how to use the online research services.
A Robust Encryption Technique Using Enhanced Vigenre Cipher

A lot of data in this world are very important and no matter how simple it can be. Hence the number of data conveyed through the internet still increasing due to the rapid development of computer technology. In order to save the data over the internet, cryptography is a technique for conveying information securely between two parties without interference from outside elements. The Vigenre cipher is a technique of encrypting alphabetic text via using a sequence of different Caesar ciphers depend on the letters of a keyword. It is a simple form of polyalphabetic replacement. In this paper, the traditional way for the Vigenre method is enhanced by using two keys for text encryption. The first key is used to format the table of the alphabet (26 characters) and second keys are used to encrypt the plain text like the original Vigenre cipher. The result shows the proposed method is efficient and stronger against the kasiski and Friedman attack to find the length of the key.
Research Guides: Read Along: Home

Join us for some open mic style virtual readings covering a variety of genres and formats with a diverse perspective.
La estabilidad emocional y el aprendizaje virtual universitario en los estudiantes de la carrera de psicopedagogía de la Facultad de Ciencias Humanas y de la Educación – Universidad Técnica de Ambato en tiempo de covid-19

The objective of this research work is to determine the level of influence of emotional stability in the virtual university learning of the students of the Psychopedagogy career of the Faculty of Human Sciences and Education - Technical University of Ambato, taking into account that the emotional state is constantly changing due to the situations presented in the time of Covid-19. In the methodological aspect, the qualitative and quantitative approach was used, which favored in the data collection both in descriptive, numerical and statistical aspects, through the field and bibliographic modality, it was possible to deepen the knowledge of the research.Finally, the correlation between variables was determined through the analysis and interpretation of data collected through instruments and with the help of the Mood Scale (EVEA) and a survey carried out, obtaining as a result the level of influence of emotional stability in university virtual learning which is of high level
The Effect of FDI on Total Factor Productivity, Export, and Employment in Ethiopia

AbstractEconomic growth among other depends on the level of saving. However, in developing countriesthe level of saving is low. Under such condition foreign direct investment (FDI) is an importantengine of economic growth. Accordingly, the objective of this research was to investigate thelong run and short run effects of FDI on Total Factor Productivity (TFP), export, andemployment creation. To address this objective, Autoregressive Distributed Lag Model wasapplied. The result of the study clearly showed, in the long run, Foreign Direct Investment(FDI) has a significant positive effect on TFP and employment. The estimated long runcoefficients predicted that, as the ratio of FDI to GDP increases by 1%, TFP increases by about1.245% per year while the ratio of manufacturing employment to total employment increases byapproximately 0.28%. The short run effect of FDI on employment is consistent with its long runeffect, but contrary to its positive long run impact, FDI has a negative impact on TFP, in theshort run. On the other hand, the result showed that FDI do not have any significant effect onthe export sector both in the long run and in the short run. Therefore, our findings clearlyshowed that Ethiopia is benefiting from increased inflows of FDI, at least in terms of productivityand employment creation. Hence, the government has to continue its effort to attract FDIthrough enhancing conducive business environment and encouraging export-orientedinvestment.
Indian Government Initiative to Counter Cyber Terrorism

Over and over again, the Government of India has demonstrated that it is not at peace with the current cyberspace attacks and has continuously dealt with the consequent shock and fear among the general population and the danger to national security. Nevertheless, the proper time, method, result and feasibility of any government intervention remains a major concern and calls for protective steps on the part of people, businesses and companies.One of the most important characteristics of a professional legal system is that it can keep pace with developments in culture. The aim of the Promulgation of the Information Technology Act, 2000 was to cater to those developments that changed the environment as a whole. Yet, because of its clauses aimed at holstering e-commerce, this act proved to be deficient, though cyber criminals were not given much consideration. The act barely had 10 pages concerned with cyber crime. The lawmakers did not comprehend the unbridled pace at which this legislation could be outstripped by technology. It is really important to learn law from now on.
Learning Strategy Used by Eleventh Grade Student in Developing Speaking Skill at SMKBatik 2 Surakarta

The purpose of this study was to identify the strategies used by eleventh grade students in developing speaking skills at SMK Batik 2 Surakarta and describing the implementation of strategies in developing students' speaking skills at SMK Batik 2 Surakarta. The object of this study is the learning strategy used by eleventh grade students in developing speaking skills at SMK Batik 2 Surakarta, especially in class XI Multimedia. The data in this study contain information about the learning strategies used by eleventh grade students in developing speaking skills. The validity of the data in this study uses trustworthiness. The results of this study indicate that the Language Learning Strategy by O'Malley's Taxonomy used by students in the learning process of speaking is Metacognitivestrategies. The metacognitive learning strategies implemented include: self-management, self-monitoring, delayed production, and self-evaluation. In applying the Language Learning Strategy by O'Malley's Taxonomy, students listen to and understand English songs. The first song in a slow tempo by Westlife entitle have a dream and the second song on Allegro or Fast Tempo by Megan Trainor entitle Better when I am dancing.Keywords: Learning Strategies, Speaking Skills, Trustworthiness.
Analysis of Factors Influencing Intercultural Communication Competence Based on Big Data

Abstract The cross cultural communication is an important part of cultural communication and language learning. Based on the method of big data analysis, 400 college students are divided into three groups to test their intercultural awareness and intercultural communicative competence. The test paper covers cross-cultural awareness, communication culture and knowledge culture. The results show that Chinese college students’ deep intercultural communication awareness is generally weak. Intercultural communication course can effectively improve the level of cross-cultural communication. The main mistake in cross-cultural communication lies in the negative transfer of culture. The results of this paper have a certain reference value for the analysis of the factors influencing intercultural communication competence under big data.
Using Guarani Verbal Morphology on Guarani-Spanish Machine Translation Experiments

espanolEste articulo muestra los resultados de un proyecto para construir herramientas y recursos computacionales para procesar el idioma guarani, un idioma poco explorado por la comunidad de PLN. Se desarrollo una linea base de traduccion automatica para el par Guarani-Espanol, y luego se realizaron una serie de experimentos para intentar mejorar la calidad de esta linea base utilizando informacion morfologica. Este trabajo se enfoca en el analisis de los verbos, los cuales componen la categoria gramatical mas compleja en el idioma guarani. Se reportan los resultados de las distintas herramientas implementadas para el analisis y deteccion de verbos en guarani, asi como los experimentos sobre traduccion automatica hechos sobre diferentes versiones del corpus aumentado con atributos morfologicos. EnglishThis paper shows the results of a project for building computational tools and resources for processing the Guarani language, an under-researched language in the NLP community. We developed a baseline machine translation system for the Guarani-Spanish pair, and then performed a series of experiments trying to improve its quality using morphological information. In this work we focus on the analysis of verbs, which is the most complex part of speech in Guarani. We report the results of the different tools implemented for verbs analysis and detection in Guarani, as well as the experiments on machine translation carried on using different versions of the corpus augmented with morphological features.
LibGuides: Economics in the Western Hemisphere: Home

This LibGuide provides information about basic economics, natural resources, and the economies of five countries in the western hemisphere.
A Literature Survey on License File Generator Using MAC Address

A license generator can be developed to generate a particular license key for the legal users as a way of protecting their application from being used illegally (i.e. pirated). A license generator generates a unique number or encryption key that identifies the legal user of a software application. The generated basic license key is used for the particular program and advanced key is used for the subprogram and option which is selected by the user. It also helps to generate license keys for a particular time period. License generators using mac address and time code key will provide more security for application and avoid piracy.
Making Of Classification Land Cover Through Result Of Visual Data Satellite Image Analysis Landsat 8 OLI : Case Study in Tapaktuan District, South Aceh District

&#x0D; &#x0D; &#x0D; &#x0D; Tapaktuan is the capital and administrative center of South Aceh Regency, which is a sub-district level city area known as Naga City. Tapaktuan is designated as a sub-district to be used for the expansion of the capital's land. Consideration of land suitability is needed so that the development of settlements in Tapaktuan District is directed. The purpose of this study is to determine the level of land use change from 2014 to 2018 by using remote sensing technology in the form of Landsat-8 OLI satellite data through image classification methods by determining the training area of the image which then automatically categorizes all pixels in the image into land cover class. The results obtained are the results of the two image classification tests stating the accuracy of the interpretation of more than 80% and the results of the classification of land cover divided into seven forms of land use, namely plantations, forests, settlements, open land, and clouds. From these classes, the area of land cover change in Tapaktuan is increasing in size from year to year.&#x0D; &#x0D; &#x0D; &#x0D;
Denoising Control Method of Abnormal Signals in Communication Networks Based on Big Data Analysis

In order to improve the denoising control effect of abnormal signals in communication network, a new denoising control method of abnormal signals in communication network based on big data analysis is designed in this paper. The linear prediction model and big data analysis method are used to sample and process the communication network signals, and the abnormal signals in the signal acquisition results are identified. The abnormal signals in communication network are decomposed into multiple IMF components of different time scales by using the empirical mode decomposition method. The IMF dominant component is used to reconstruct the signals, and the reconstructed signals are SWT transformed and median filtered. In this way, the SWT inverse transformation is used to obtain the denoising signals, and the denoising control of abnormal signals in communication network is realized. The simulation results show that the method has high accuracy of abnormal signal identification and denoising control, and the control time is short, and the control effect is better.