Reviewerly/exHarmony huggingface dataset:
Prediction of Drug Addiction level Using Matlab Software Application in Batam

Batam City is currently very dangerous in drug cases both in the field of dealers and users. The government has issued a statement about the Narcotics Emergency. Seen many who consume drugs do not look at age, starting school children and adults. The purpose of this study is to determine the level of drug use so that the way to overcome it. The benefits of this research are so that users can avoid drugs because they already know the negative effects of drug use. This fuzzy application method uses the Sugeno method by applying the max-min value and producing linear constants. The rare steps of the Sugeno method are the formation of the fuzzy set, the application of the implication function, the composition of the rules, and the affirmation (defuzzification). The input variables in this study were displeased, indifferent, memory impairment, red-eye and lazy moving and output level of addiction so as to get a final value decision support system. The results of this study can be used as a reference for people who use drugs and as a notification to the Batam community about the dangers of consuming drugs.
‘학교 문법 용어’의 변천과 교육의 변화 - ‘학교 문법 용어’ 자료 제시를 중심으로 -

This article refers to the preparatory material compiled by the Ministry of Education for the process of the regular change in grammar terms in accordance with the compilation of grammar textbooks, and presents the textual history of grammar by organizing changes in grammar terms rather than academic research.Since the government was established in commemoration of Gwangbok, public education was introduced in earnest and the compilation of textbooks made it necessary to unify and organize grammar words. Thus, 292 ‘school grammar terms’ were enacted in 1949 based on the results of the research.However, because grammar textbooks were not developed by the government-designated, education and learning were also difficult at the educational scene due to the combination of the two terms, the grammar term was either pure Korean or Chinese.Since then, the school grammar term was established in 1963 under the School Grammar Unification Plan and in 1967 the school grammar term was again unified when the government published the national grammar textbook after creating and abiding by the detailed system according to the school grammar unification plan.The 7th curriculum was further announced and grammar textbooks were developed as government-designated textbooks. Thus, as we sought a change in grammar education, it became inevitable to organize grammar terms for textbook compilation. Since then, the system of grammar terminology has reached the application of the 2015 revised curriculum after some readjustment.
LibGuides: How to use OverDrive with Libby & Kindle: Home

OverDrive ebooks, audiobooks, & magazines can be accessed on a wide variety of devices. Follow the instructions to get started.
Decision-Making with Multi-Step Expert Advice on the Web

This thesis deals with solving multi-step tasks by using advice from experts, which are algorithms to solve individual steps of such tasks. We contribute with methods for maximizing the number of correct task solutions by selecting and combining experts for individual task instances and methods for automating the process of solving tasks on the Web, where experts are available as Web services.Multi-step tasks frequently occur in Natural Language Processing (NLP) or Computer Vision, and as research progresses an increasing amount of exchangeable experts for the same steps are available on the Web. Service provider platforms such as Algorithmia monetize expert access by making expert services available via their platform and having customers pay for single executions.Such experts can be used to solve diverse tasks, which often consist of multiple steps and thus require pipelines of experts to generate hypotheses.We perceive two distinct problems for solving multi-step tasks with expert services: (1) Given that the task is sufficiently complex, no single pipeline generates correct solutions for all possible task instances. One thus must learn how to construct individual expert pipelines for individual task instances in order to maximize the number of correct solutions, while also taking into account the costs adhered to executing an expert. (2) To automatically solve multi-step tasks with expert services, we need to discover, execute and compose expert pipelines. With mostly textual descriptions of complex functionalities and input parameters, Web automation entails to integrate available expert services and data, interpreting user-specified task goals or efficiently finding correct service configurations. In this thesis, we present solutions to both problems: (1) We enable to learn well-performing expert pipelines assuming available reference data sets (comprising a number of task instances and solutions), where we distinguish between centralized and decentralized decision-making. We formalize the problem as specialization of a Markov Decision Process (MDP), which we refer to as Expert Process (EP) and integrate techniques from Statistical Relational Learning (SRL) or Multiagent coordination. (2) We develop a framework for automatically discovering, executing and composing expert pipelines by exploiting methods developed for the Semantic Web. We lift the representations of experts with structured vocabularies modeled with the Resource Description Framework (RDF) and extend EPs to Semantic Expert Processes (SEPs) to enable the data-driven execution of experts in Web-based architectures.We evaluate our methods in different domains, namely Medical Assistance with tasks in Image Processing and Surgical Phase Recognition, and NLP for textual data on the Web, where we deal with the task of Named Entity Recognition and Disambiguation (NERD).
The application of cluster mapping technique in writing descriptive paragraphs

The objective of this study was to examine the effect of using cluster mapping technique to the writing ability of the second-year students of state junior high school (SMPN) 4 Makassar. A quasi-experimental design was adopted in this study. The population of this research was the second year students of SMPN 4 Makassar in the academic year 2018/2019. The researcher used cluster random sampling technique to determine the two classes involved as sample. Class VIII.5 consisting of 36 students was assigned as experimental group and class VIII.6 composed of also 36 students was involved as control group. There were two variables in this research, namely the use of cluster mapping technique as independent variable and students’ writing ability as dependent variable. The data were collected from writing tests administered in pretest and posttest of each group. The posttest results demonstrated that the experimental class was significantly better than control class. The posttest mean score of experimental class (70.86) was higher than the control group (65.86), and the value of t-test was higher than the value of t-table (5.144>1.994). Based on the findings and discussion of the study, it can be concluded that the cluster mapping technique can significantly improve the ability in writing descriptive paragraph of the second-year students of SMPN 4 Makassar.
Free Expression Rationales and the Problem of Deepfakes Within the E.U. and U.S. Legal Systems

Political actors are increasingly turning to deepfakes, realistic video clips that depict a person saying or doing something they never said or did, to mislead and manipulate public discourse. These video clips, which are becoming easier to create, are emerging as a global concern in online information environments that are already congested with false and misleading information. As nations seek to limit the influence of these fake videos, they are likely to encounter significant questions about freedom of expression. This paper examines the legal rationales for free expression in the E.U. and U.S. legal systems, ultimately seeking to identify conceptual building blocks for how deepfakes that pose a threat to democratic discourse can be limited without violating rights that are foundational in both regions.
THE RELATIONSHIIP BETWEEN LEARNING OUTCOMES ENGLISH FOR YOUNG LEARNERS (EYL) TO ENGLISH MICROTEACHING COURSE IN UNIVERSITAS MUHAMMADIYAH SIDOARJO

This Research aims to investigate the relationship of learning outcomes English for Young Learners (EYL) to English Microteaching course of the students in elementary school teachers ' education (PGSD) Muhammadiyah Sidoarjo University and wants to know how much of the relationship between English Young Learners (EYL) learning outcomes and the teaching ability of students’ Primary Teachers Departement (PGSD). The research methodology is using a quantitative approach, with a type of non-exsperimental research study, with the Ex Post Facto approach, one-group posttest-only design. Population and Sample of this research are all students of the Primary Teachers Departement (PGSD) Universitas Muhammadiyah Sidoarjo academic year 2016-2017, amounting to 110 students. The results showed that there was a relationship or influence of study outcomes English Young Learners (EYL) to English Microteaching student Primary Teachers Departement (PGSD) is 0,555 or  55,5%. Keywords: Primary Teachers Departement, English Young Learners, Microteaching
Priorización de requisitos para una adecuada calidad de software

The definition and analysis of the requirements of software are key factors for the final success of the projects of software specially for an appropriate quality of software. The prioritization of requirements of software, it is a process of taking of decisions, that in occasions returns complex, due to that in this prosecute decide the necessary functionalities to include in the product to develop and it is related with the quality of the software. This quality is measured for the capacitance that possesses the software to satisfy the needs of the clients and final users. The satisfaction by necessity implies contradiction a correct engineering that includes requirements specially of prioritization. Granting the priority to the requirements of software is a process that is not conceived sufficiently as for the flexibility and adaptability to the specific contexts of the organizations. The prioritization of requirements contributes to the identification of the wholes that they are critical for the success of the project of software, joined that they are located in the first iterations, and the other general remainder that are critical for the success of the project are considerate trivial and it is executed more late. This process permits arrange the total whole of requirements, which permits the general formation and your assignment of iterations. At present work, proposes the use of the prioritization of requirements of software, that does use of the addition operators in a hierarchical way, for an appropriate quality of the software.
Closing note for the HCI education forum

HCI education reflects the continual evolution of HCI, embracing the changing landscapes of technology, infrastructure, and technology use. This forum aims to provide a platform for HCI educators, practitioners, researchers, and students to share their perspectives, reflections, and experiences related to HCI education. --- Sukeshini A. Grandhi, Editor
Speed-accuracy tradeoff of visual search: Modulation of pupil size

Understanding visual decision-making entails understanding how speed-accuracy tradeoff (SAT) is accomplished. Investigations of human SAT with non-invasive measures have demonstrated variation of multiple processes and brain regions. Investigations of monkey SAT with neurophysiological measures have also demonstrated variation of multiple types of neurons in diverse structures. Neural signals in both species indicate network-wide gain changes underlying SAT. Previous work with humans showed that pupil diameter is a reliable index of global neural gain during speed-accuracy tradeoff. To assess the ubiquity of SAT effect on neural gain, we investigated changes in pupil dilation and constriction during visual search. Four macaque monkeys performed visual search to locate a target (T/L) presented amongst seven distractors (L/T) with overall luminance equated across array configurations. Trials began when monkeys fixated a central stimulus, the color of which cued emphasis on response speed (green for Fast condition) or accuracy (red for Accurate condition). For each monkey, response time was shorter, and choice error rate, higher, in the Fast relative to the Accurate condition. We found robust pupil dilation during the baseline period before array appearance. The rate of dilation was greater in the Fast relative to the Accurate condition. Notably, pupil dilation did not predict occurrence of response errors in choice or timing. These new observations replicate previous reports of larger pupil size when speed is emphasized and reinforce the hypothesis that pupil size is an overt marker of covert gain changes that accomplish SAT.
Year 2013 <i>F</i>=<i>ma</i> Contest

This chapter contains year 2013 F = ma exam problems and solutions.
UAV target saliency detection based on frequency domain transform

In order to solve the difficult problem of unmanned air vehicle(UAV) target detection in visible light images under complex sky background, this paper proposes a UAV target detection method based on frequency domain transform. First, the B-channel in the image LAB space is used to extract the sky and cloud boundary images, and then the image feature channel is used to construct a quaternion function. Secondly, Fourier transform is performed on the quaternion function to extract the amplitude spectrum and phase spectrum, then the amplitude spectrum image is subjected to multi-scale decomposition using wavelet transform in the frequency domain, the amplitude spectrum image of each scale and the phase spectrum image are combined by inverse Fourier transform, and the evaluation function is used to obtain the best scale image. Finally, the best-scale image and the boundary image are normalized to make a difference to obtain the final detection result. Experimental results show that the algorithm can effectively detect UAV targets under complex cloud background.
USE OF TECHNOLOGY IN ENGLISH CLASS

Tis article can define technology and its using while teaching. Moreover reader can learn a lot of ways and benefits of using technology in English classes.
비전공자 소프트웨어 기초교육을 위한 프로그래밍 언어 결정에 관한 연구

PurposeThe objective of this study is to determine the programming language for improving algorithmic thinking of basic software education for non-majors, which has recently been receiving attention to nurture talents needed in the era of the Fourth Industrial Revolution.Design/methodology/approachIn this study, Delphi method was used to select the suitable programming language for the features of each of five departments for basic software education for non-majors in order to develop the capability of algorithmic thinking. The survey was conducted three times to 21 experts, and the results were analyzed using quantitative analysis (CVR) values and stability.FindingsFor the most suitable programming language for each department determined in this study, App Inventor was selected for humanities department, RUR-PLE for natural science department, App Inventor for social science department, Python for engineering department, and Scratch for fine arts department. This is expected to be used as the basis for determining the direction of curriculum and operation of universities starting basic software education through programming language by department proposed in this study.
Results of Raw Water Quality Test at Condong Catur, Yogyakarta Special Region

The existing phenomenon is that groundwater in the UPN Veteran Yogyakarta integrated campus complex smells and has a reddish-brown color, and when the water is used for bathing, the skin becomes dry. Based on this phenomenon, it is assumed that the groundwater contains quite high levels of iron (Fe) and Manganese (Mn). The purpose of this research is to determine the quality of bore well water and determine the method of processing the well water so that it can be used as clean water that meets the requirements of Permenkes Number: 492/Menkes/Per/IV/2010 Water quality is a qualitative condition of a water sample taken from the source which is measured and/or tested based on certain parameters and certain methods based on predetermined test standards and is in effect at the time of the test. According to the standards stipulated in the Regulation of the Minister of Health of the Republic of Indonesia Number: 492/Menkes/Per/IV/2010 concerning Water Quality Control and Requirements, water quality testing parameters are generally grouped into 3 (three) parameters, namely: physical parameters, chemistry, and biology. In the laboratory tests carried out for samples of raw water from drilled well water sources at the UPN Veteran Yogyakarta Integrated Campus, the test parameters are taken are Physical parameters, including examination of odor, turbidity, taste, color, amount of dissolved solids (TDS); and Chemical Parameters, including examining pH, iron, fluoride, hardness, manganese, nitrate, nitrite. The results showed that the well water in the integrated campus complex area of UPN Veteran Yogyakarta has water quality parameters with levels of TDS, temperature, taste, odor, pH, fluoride, hardness, and nitrate, which are still below the threshold for hygienic water quality standards and drinking water quality standards. . Meanwhile, other water quality parameters, namely levels of Turbidity, Color, Iron, Manganese and Nitrite have levels above the standard threshold for hygienic water quality and drinking water. Therefore, to use well water as for hygienic water that meets the Permenkes No. 492/Menkes/Per/IV/2010 standards, filtration must first be done using a slow sand filter as an alternative to the filter model.
2021 Conference Announcement on Artificial Intelligence, IoT and Robotic

We are pleased to welcome you to the “Conference Announcement on Artificial Intelligence, IoT and Robotics “ after the successful completion of the series of Artificial Intelligence Congress. The International conference is scheduled on November 19-20, 2021 Paris time zone. This Artificial Intelligence 2021 conference will provide you with an exemplary research experience and huge ideas. The perspective of the Artificial Intelligence 2021 conference is to set up technology research to help people understand how Technology techniques have advanced and how the field has developed in recent years. Machine learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in Artificial Intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabelled. Robotics is an interdisciplinary research area at the interface of computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design intelligent machines that can help and assist humans in their day-to-day lives and keep everyone safe. The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. These devices range from ordinary household objects to sophisticated industrial tools. Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyse large amounts of natural language data. In Artificial Intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.
Group Classes at School

Group Classes at School Children Age 1-14 Our children’s lessons are stimulating and entertaining: children have fun while learning because they feel at ease with their teacher. Our Italian language teaching method is anchored in the Common European Framework of Reference and is driven by a didactic method that is the result of a decade of experience in the field. Our children’s program is designed to actively involve our little students. We use a wide variety of learning tools to ensure the children have fun while learning. They will work in a group and we will keep track of their experiences through three important approaches: Discovery, Creativity, Body. *3 students minimum per group
Water Temperature’s Effects towards Setting Time of Normal Type Alginate Impression Material

Introduction: Alginate impression material is widely used in dentistry. There are two types of alginate impression based on the setting time: fast setting (type I) and normal setting (type II). Setting time of alginate impression is affected by the ratio of powder and water, water temperature, also types of the alginate impression. In some dental treatments, dentists need to make modifications of alginate impression materials in the normal setting type to speed up the setting time and prevent maintenance delays. Objective: The objective of this study is to determine the effect of water temperature on the setting time of normal type alginate impression material. Methods: This laboratory experimental study were carried out on alginate impression materials of normal type which were tested in three temperature groups (±15°C, ±24°C, and ±40°C). The setting time is measured using a penetrometer in accordance with ANSI/ADA No. 18 equipped with a glass plate and a metal ring mold with a diameter of 30 mm and a height of 16 mm. Results: The results of statistical tests indicate the influence of water temperature on the setting time of the normal type of impression material carried out in all three temperature groups (p<0.05). Mann Whitney Test Results with p<0.05 showed a difference in the average setting time of each temperature group, in which the three groups are ±24°C  to ±15°C, ±24°C to ±40°C, and ±15°C to ±40°C. The fastest setting time occurs in the test group with a temperature of ±40°C and the longest occurring in the testing group is ±15°C. Conclusion: There is an increase in the setting time of alginate impression materials in the normal setting type due to the influence of water temperature. Increased setting time by 23,2% faster at the temperature of ±40°C than the normal water temperature.