Reviewerly/exHarmony huggingface dataset:
DEVELOPING ENGLISH READING MATERIALS IN DESCRIPTIVE TEXT FOR GRADE X STUDENTS OF AUTOMOTIVE ENGINEERING STUDY PROGRAM AT SMK SWASTA CERDAS BANGSA

DEVELOPING ENGLISH READING MATERIALS IN DESCRIPTIVE TEXT FOR GRADE X STUDENTS OF AUTOMOTIVE ENGINEERING STUDY PROGRAM AT SMK SWASTA CERDAS BANGSA *SARMEN DAMANIK ** Prof. Dr. Sumarsih, M.Pd ABSTRACT Damanik, Sarmen. Registration Number: 2132121048. Developing English Reading Materials in Descriptive Text for Tenth Grade Students of SMK Swasta Cerdas Bangsa. A Thesis. English Educational Program, State University of Medan, 2020. This study deals with the reading materials development for the first grade students at SMK Swasta Cerdas Bangsa. The research conducted by Research and Development (R &amp; D). It was developed through six stages; 1) Gathering the data &amp; information, 2) Analyzing the data, 3) Designing a new reading materials, 4) Validating by experts, 5) Revising a new reading materials and 6) Final product. It was conducted at SMK Swasta Cerdas Bangsa, the subject of this research was X grade students of Automotive Engineering Study program. The objectives of this study are to investigate the students’ need and to develop the appropriate reading materials for the students. The technique for collecting the data were gathered by administering interview to English teacher and distributing questionnaire to 25 students. The interview was as qualitative data while the questionnaire was a quantitative data.The interview and questionnaire results prove that the students need English reading materials which is contained the appropriate knowledge or topic with the Automotive Engineering Study program. The developed materials are descriptive text. The three topics of descriptive text have been developed, the topics are about Valentino Rossi, Motorcycle History Museum, and Sillicone Valley. The development of reading materials in descriptive texts are based on Hutchinson and Waters theory through 4 stages, such as; defining objectives, creating the framework, designing the model of reading materials and refining the model of reading materials. The new reading materials are validated by two experts, they are English lecturer and and English teacher. The average scores of validation are 4.3 from English lecturer and 4.2 from English teacher. It can be concluded that the developing materials categorized as relevant or appropriate for tenth grade students of Automotive Engineering Study program Program. Keywords: Research and Development (R &amp; D), Reading Materials, Vocational School, Automotive Engineering Study program
BUSINESS GAME AS A MEANS OF DEVELOPING PROFESSIONAL COMPETENCIES OF FUTURE TEACHERS

In this article, the authors analyze the possibilities of using the system of business games in the educational process of pedagogical universities. The author substantiates the idea that the business game is one of the methods of activating the creative activity of students and at the same time, an effective means of developing the professional qualities of future teachers. Business games help to increase students ' knowledge, develop interest in the subject, research and creative skills, and allow future teachers to form both General and professional competencies. Based on the analysis of pedagogical literature, the authors come to the conclusion that as a form of communication and a method of teaching, business play plays an important role in the formation of students ' own "Self-concept", the implementation of professional game tasks in the educational process of pedagogical universities
Notas para cartografiar la alteración de la experiencia escolar en tiempos pandemicos

One of the dimensions of social life that has been strongly affected by the COVID-19 pandemic is that of school education. The educational policies adopted in our country to face the health emergency were based on the strategy of establishing remote education, led by the intention of sustaining an institutional process of Pedagogical Continuity. This article gathers some notes that allow a mapping of the dynamics and breaks produced by educational policies, from a territorial and situated perspective. Our view focuses on the record of the ways in which the policies to cope with the viral emergency have destabilized types of schooling, considering not only aspects related to the school format, but also the structuring role of schooling in social life. From the perspective of dynamic inequalities, some interpretive hypotheses are proposed, which foreshadow the dynamics and problems of education in the post-pandemic.
Pengembangan Knowledge Management Solution Untuk Monitoring Mutu Pada Rumah Sakit Kartika Pulomas Jakarta

Knowledge Management System (KMS), Knowledge management, UML, Unified Software Development Process
RECOGNIZE HAPPY AND SADNESS EMOTIONS USING MUTUAL INFORMATION AND SUPPORT VECTOR CLASSIFICATION METHODS

In the past decade, the field of facial expression recognition has attracted the attention of scientists who play an important role in enhancing interaction between human and computers. The issue of facial expression recognition is not a simple matter of machine learning, because expression of the individual differs from one person to another based on the various contexts, backgrounds and lighting. The goal of the current system was to achieve the highest rate for two facial expressions ("happy" and "sad") The objective of the current work was to attain the highest rate in classification with computer vision algorithms for two facial expressions ("happy" and "sad"). This was accomplished through several phases started from image pre-processing to the Gabor filter extraction, which was then used for the extraction of important characteristics with mutual information. The expression was finally recognized by a support vector classifier. Cohn-Kanade database and JAFFE data base have been trained and checked. The rates achieved by the qualified data package were 81.09% and 92.85% respectively.
The Library: Weizmann Institute Digital Collections: Search

Brought to you by the Weizmann Institute Archives. This section is under construction. Digital collections will contain a significant body of publications, photos and videos showing major events at the Weizmann Institute.
LibGuides: ISU Library: The Benefits of Being an Octopus | Book Club

This guide is designed to share information about books in the ISU Library, books we love, books we've read and books we look forward to reading soon.
산후관리 프로그램이 방문간호사의 산욕기 간호와 신생아 양육에 대한 지식 및 자신감에 미치는 효과

This paper identified the effects of a postpartum program on the knowledge and confidence regarding postpartum women and newborns in visiting nurses. The study used a non-equivalent control group and pretest-posttest design. A postpartum program was treated by an experimental group (n=29), while no treatment was given to a control group (n=30). The study was conducted from May 1 to June 30, 2018 and the study subjects were visiting nurses who worked at the community health center in B city. Data were analyzed by chi-square test and t-test using the SPSS program. Postnatal care knowledge (t=3.244, p=.002), confidence (t=3.161, p=.003) and neonatal care knowledge (t=2.314, p=.024), and confidence (t=2.642, p=.011) were found to increase significantly in the treatment group. Based on the above, visiting nurses should care for postpartum women and newborns after receiving education on postpartum care.
Is the Machine an Author

This chapter is meant to answer a set of emerging legal questions within the AI-generated creativity conundrum. How does AI-generated creativity fit with traditional copyright theory and existing doctrines? In particular, which are the conditions for protection of creations generated by AI and deep neural networks under the main copyright regimes? Should legal personhood for AI be considered? Is AI an author according to traditional copyright standards? Can a machine be original? These questions—that are only a portion of the relevant questions related to AI-generated creativity—can be summarized as the question of AI as an A(I)uthor. In addition to genuine challenges related to standards for AI’s authorship, this chapter will be finally considering the road ahead by reviewing policy options from different theoretical perspectives, such as personality theories and utilitarian/incentive theories of intellectual property. Available at: https://rm.coe.int/iris-special-2-2020en-artificial-intelligence-in-the-audiovisual-secto/1680a11e0b
我国足球归化运动员社会认同问题研究：基于社交媒体内容的 情感与主题分析 (The social identity of naturalized footballers in China: social media contents based sentiment and thematic analysis)

The paper explores the social identity of naturalized footballers in China by analyzing replies extracted from the relevant trending topics on Weibo in a diachronic manner. A mixed-method examination of these replies through manually annotated sentiment analysis and theme extraction reveals that: 1) Sentiments about the social identity of naturalized footballers polarize significantly, among which negative emotions being more intense than positive ones; 2) sentiments toward different players are quite diversified; 3) sentiments change markedly from negative to positive over time; 4) “nation and ancestry”, “acculturation and integration” and “competitive level”are the three most discussed themes of online conversations about naturalized players.
Active form of Educational Process with the Use of Information and Communication Technologies

The article reveals the question of the peculiarities of the use of active forms of educational process with the use of information and communication technologies. It was found that the introduction of information and communication technologies in the educational process encourages the organization of cognitive activity by modeling, simulation of typical professional situations with the help of multimedia technologies, application of knowledge in research, effective training of knowledge, skills, automated control of learning outcomes, implementation of feedback, development of creative thinking, the possibility of combining in the curriculum of visual and audio forms of presentation of material.
A Study of Mammographic Image Segmentation with its Morphological Operation

The Malign cell extraction and segmentation differentiation from normal cells is widely researched topic.The process of segmentation with single strategy might miss the features leading to increased mortality rate.This work characterizes the different segmentation methods and two simulation tools for mammogram images.The non-feature pixel values are represented by the nearest feature pixel in distance by watershed segmentation.Simulations are performed with ImageJ using Morphological library where binary mammogram images are analysed with connected components and distance based watershed transform.Finally the mammogram image in DICOM format is analysed for segmenting spanning lower and upper threshold with clustering..
LibGuides: Games Design: Home

A comprehensive guide to the resources provided by the Library to support you with your course.
Challenges for Learning English of Rural Primary Students at Pabna District in Bangladesh

English is the international language. The use and significance of English language in the present context of Bangladesh cannot be denied because of its enormous implication both for academic purposes and for specific purposes. At present English is accepted as an entity of global communication and proficiency. The English language finds itself at the centre of the paradoxes which arise from globalization. However, the study was conducted to find out the present scenario of English teaching methods in rural primary schools and to identify the challenges of implementing English curriculum effectively at the primary schools. The study was conducted at 5 Upazilas (Santhia, Bera, Atgharia, Sujanagar and Faridpur Upazila) of Pabna District. The study was survey and case study type. Purposive sampling method was used for the study. 300 respondents were selected for the study. 3 types of respondents were taken: Student-100, Teachers-100 and Education Officers-100. Data were collected from primary and secondary sources. Primary Data were collected through face to face interview with Questionnaire and secondary data were collected from secondary sources. Collected data were computerized, analyzed and interpreted using relevant Computer Program. From the result it was found that the present condition of English learning of Rural Primary is little effective which should be improved. Most of the respondents replied that supplementary reading materials are essential and teaching learning materials helps in English learning. Most of the respondents replied that Teachers’ training has vital role to teach English. The result also revealed that 86% respondents replied that Teachers should apply more classroom language in class. Very few teachers conduct English class only in English which should be increased. 83% respondents replied that large class is an obstacle in teaching English, so number of students in the class should be decreased. 81% respondents replied that remedial classes are necessary. Speaking exercise in the classroom is done rarely which should be increased. From the result it was also found that 76% respondents replied that class duration is very short which should be increased.
Analysis of the textbook Task Basic language teaching "Improving Students' Reading Comprehension" Published by Cambridge University Press

The purpose of carrying out this research is to provide an understanding of the students 'ability to read that is very low than it should be. In this case the students' low reading comprehension is caused by several things, namely the bad teaching and learning process makes it difficult for students to understand how to read correctly.  we use Task-based Language Teaching (TBLT) this technique is used in achieving the process of understanding and learning to read students to better and easier for students to understand. This research is a classroom action research (CAR). In this study, it was conducted in two stages, Observation and interviews were used to collect data which were then analyzed qualitatively.Students’ achievement of daily-test, the students’ self reflection in the form of rating format and the students’ achievement of post-tests were used in order to support the data collected. The results of this study indicate that TBLT can improve not only the teaching learning process but also the class 8 of SMP swasta cendramata students’ reading comprehension in recount texts.Thus, from the research on the TBLT technique, it was seen that the desire and interest of students in learning to read was increasingly diligent and began to master good reading techniques, as well as enjoying the process of learning to read.
Changed Precedent Phrases in the Headlines of Online Media Texts as Paratexts

Point of reference phrases speak to the expressions that are portrayed by obviousness, reproducibility, just as by a flat out social incentive for a certain linguocultural local area. The exploration is centered around the point of reference states, the semantics and additionally the design of which have been purposefully changed with the plan to accomplish a specific open impact. When being utilized in the features of online media messages, changed point of reference phrases show their triple nature: they work as 1) expressemes, 2) images of point of reference wonders, and 3) paratexts. The paper contemplates changed point of reference phrases in the title texts of American and British online media messages with the point of investigating their eccentricities as paratexts.
An approach to the automatic enhancement of the robustness of ML models to external influences on the example of the problem of biometric speaker identification by voice

AI technologies, which have received an impetus in development in recent years due to the emergence of a significant amount of data and computing resources, have greatly influenced many areas of human life, and for some of them, they have become an integral part. It is worth noting separately the emergence of various means of biometric user identification, which today have found their application in general­purpose systems and critical ones. Such tools include biometric user identification by fingerprint, face, voice, iris, hand geometry, etc. We use these tools daily in our everyday life when we use smartphones, personal computers, or interact with banks, which have begun to use biometric identification tools when interacting with customers widely. Thus, the reliability of biometric identification of users becomes undoubtedly important and requires due attention from information security specialists. Since these systems are usually based on ML models, their resistance to external influences plays a key role. In this paper, we presented an approach to automatically increasing the stability of ML models to external influences, using the example of the speaker identification problem by voice.
Research on the Construction and Development of Oral English Output Module Based on ＂Internet＂

ABSTRACTThe teaching quality of college English majors is reflected in the output of students’ spoken English. However, the traditional English teaching mode limits students’ oral English output and needs further optimization. In contrast, under the environment, English majors’ oral English production ability has a broader space to improve. This paper reconstructs the oral English production module based on the from the perspective of the oral English production theory and the current difficulties. It is found that the new module of oral English production based on Internet can effectively improve students’ oral English production ability. Finally, the paper puts forward some suggestions.
Optimal quantum control of mechanical motion at room temperature: ground-state cooling

The ability to accurately control the dynamics of physical systems by measurement and feedback is a pillar of modern engineering. Today, the increasing demand for applied quantum technologies requires to adapt this level of control to individual quantum systems. Achieving this in an optimal way is a challenging task that relies on both quantum-limited measurements and specifically tailored algorithms for state estimation and feedback. Successful implementations thus far include experiments on the level of optical and atomic systems. Here we demonstrate real-time optimal control of the quantum trajectory of an optically trapped nanoparticle. We combine confocal position sensing close to the Heisenberg limit with optimal state estimation via Kalman filtering to track the particle motion in phase space in real time with a position uncertainty of 1.3 times the zero point fluctuation. Optimal feedback allows us to stabilize the quantum harmonic oscillator to a mean occupation of $n=0.56\pm0.02$ quanta, realizing quantum ground state cooling from room temperature. Our work establishes quantum Kalman filtering as a method to achieve quantum control of mechanical motion, with potential implications for sensing on all scales.
Factores asociados a reducir la fuerza de presión palmar en personas que viven con VIH en el uso de terapia antirretroviral.

espanolObjetivos: Evaluar la frecuencia de reduccion de la fuerza del mango (FPP) y sus factores asociados en personas con VIH que usan terapia antirretroviral. Metodos: Estudio de serie de casos, realizado en un hospital publico en Recife, PE, de marzo a julio de 2017, que evaluo a pacientes ≥ 20 anos de edad, utilizando un cuestionario que contenia variables sociodemograficas, antropometricas, clinicas, bioquimicas y de estilo de vida. vida. La prueba FPP se realizo con un dinamometro. Resultados: Se evaluaron 109 pacientes, 29.4% de los cuales tuvieron una reduccion en FPP. El genero femenino y la educacion Conclusion: El genero femenino, menos educacion, anorexia, fatiga y un menor numero de celulas CD4 se asociaron con una reduccion en FPP. EnglishBackground: To evaluate the frequency of reduction ofhandgrip strength (PGS) and its associated factors in peopleliving with HIV using antiretroviral therapy. Methods: A series of cases, carried out in a public hospi-tal in Recife, PE, from March to July 2017, which evaluatedpatients ≥ 20 years, using a questionnaire that contained so-ciodemographic, anthropometric, clinical, biochemical andlifestyle variables. The handgrip strength test was performedusing a dynamometer. Results: A total of 109 patients were evaluated, of which29.4% presented a reduction in the PGS. The female sex andschooling Conclusion: Female gender, lower educational level,anorexia, fatigue and less number of TCD4 cells were associ-ated with this reduction
EMPLOYEE TURNOVER CLASSIFICATION USING PSO-BASED NAÏVE BAYES AND NAÏVE BAYES ALGORITHM IN PT. MASTERSYSTEM INFOTAMA

Turnover occurs because many employees leave and new employees enter, so the turnover in and out of employees is quite high, therefore turnover can be controlled with a strategy to increase employee engagement. PT. Mastersystem Infotama is a System Integrator company or better known as a fairly large IT company with a total of approximately 600 employees. Turnover is high enough to make some divisions lack human resources, and the human capital management division is quite difficult to recruit employees to find candidates with various criteria that must be available in a short time. Competition in the IT world is quite tight both within companies and employees with good experience and abilities. Especially the sales department that holds a database of potential customers, and the engineer section that already has a certificate of expertise that is widely used in the IT business world. Therefore, it is necessary to classify what factors make employee turnover high by using the Naïve Bayes and Naïve Bayes algorithms based on Particle Swarm Optimization, so that they can be used as material for internal evaluation to increase employee engagement. The results of this study, classification using the Naïve Bayes algorithm, has an accuracy of 79.17%, while the classification using the Naïve Bayes algorithm based on Particle Swarm Optimization is 94.17%.
Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization

As a popular approach to collaborative filtering, matrix factorization (MF) models the underlying rating matrix as a product of two factor matrices, one for users and one for items. The MF model can be learned by Alternating Least Squares (ALS), which updates the two factor matrices alternately, keeping one fixed while updating the other. Although ALS improves the learning objective aggressively in each iteration, it suffers from high computational cost due to the necessity of inverting a separate matrix for every user and item. The softImpute-ALS reduces the per-iteration computation significantly using a strategy that requires only two matrix inversions; however, the computation saving leads to shrinkage of objective improvement. In this paper, we introduce a new algorithm, termed Data Augmentation with Optimal Step-size (DAOS), which alleviates the drawback of softImpute-ALS while still maintaining its low cost of computation per iteration. The DAOS is presented in the context that factor matrices may include fixed columns or rows, with this allowing bias terms and/or linear models to be incorporated into the ML model. Experimental results on synthetic and MovieLens 1M Dataset demonstrate the benefits of DAOS over ALS and softImpute-ALS in terms of generalization performance and computational time.