Reviewerly/exHarmony huggingface dataset:
The Introduction of Alphabet Letters in Basic English Through "Lokuter"

In the realm of cognitive development of early childhood 4-5 years or group A there are indicators of the level of development achievement pairing or connecting letters of the alphabet both the components of vowels and consonants in English. The English alphabet for early childhood is something that is newly known, or just seen and heard so that the need to recognize letters of the alphabet in an interesting and fun way.To help introduce and understand the letters of the alphabet and be arranged into words in English in Group A RA Perwanida Wonosobo, located on Jalan Tumenggung Jogonegoro No. 37 Our Wonosobo uses a game technique called the "Flying Horse Jump" GameThe game technique "Flying Horse Jump" uses a simple tool made from used banners as the base of the game that is drawn according to the desired pattern and given the letters of the alphabet along with how to pronounce each pattern. The purpose of making this article is to provide references and input to teachers, guardians of students and the wider community so that the presentation of subject matter, especially basic English introduction material for kindergarten students is packaged creatively, innovatively and on target. The benefits are that it can be used as a teacher's reference to stimulate student enthusiasm and motivation in learning, and can be used as an alternative for parents of students to make appropriate, practical and logical ways in providing understanding to students relating to the introduction of the letters of the alphabet in basic English during this pandemic.
DIDACTICS THEORY AND LEARNING PRACTICES IN THE CONTEXT OF POSITIVE AND NEGATIVE CHOICE OF CONSCIOUSNESS

The article is devoted to the mechanism of positive and negative choice of consciousness, which received its justification in the theory of V.M. Allakhverdov. Consciousness appears as a constructive reaction of the psyche to the uncertainty of a state in which it is impossible to use one or another automatism to successfully regulate behavior. The human psyche immediately after its birth receives a huge amount of information and carefully records it. At the basic (not conscious) level, the entire personal "archive" of individual experience is stored in the maximum completeness. At the surface (conscious) level, the stream of consciousness flows continuously and provides the reception of higher, rational decisions. But at the level of awareness, the basic consciousness without restriction allows for those images and strategies that are necessary for solving urgent and not fully understood problems. As long as variants of unconscious ideas remain in the unconscious, they do not change or modify and form a stable basis for conscious search. The use of such theoretical attitudes helps to re-evaluate many established pedagogical views. The teacher has important didactic functions. When a student learns a new scientific term, he can automatically connect it inaccurately with the existing intellectual experience and only in a dialogue with the teacher he goes from erroneous statements to true ones. The teacher helps one to overcome a variety of negative choices and get closer to a successful positive choice. The teacher also acts as a motivator for creativity, helping the student in solving non-standard tasks to activate internal resources to remove a barrier in the unconscious. Insight removes the block from the previously selected option that was negatively selected. The main function of the teacher as a caregiver is to help the student in achieving a positive personal self-determination, which firmly preserves both the search activity and the critical self-esteem.
Digi-taal en standaardtaal (over: Lieke Verheijen, Is textese a threat to traditional literacy? Dutch youth’s language use in written computer-mediated communication and relations with their school writing)

Verschenen proefschrift. Helge Bonset bespreekt het proefschrift van Lieke Verheijen: Is textese a threat to traditional literacy? Dutch youth’s language use in written computer-mediated communication and relations with their school writing (Utrecht: Universiteit Utrecht LOT, 2019).
A Content Hiding Method for Digital Hologram Using Multiple Fresnel Diffraction

A digital hologram (DH) is so highly valued that it needs to be protected from exposure to an unpermitted person, which could be done by a content encryption. We propose an encryption scheme for digital holograms, whose goal is to hide their information with maximal visual distortion and minimal ration of the encrypted data. It uses the characteristics of the Fresnel transform and signal processing techniques. As the diffraction distance increases the region containing the object information relative to the whole diffraction plane becomes smaller. Therefore our scheme diffracts a given digital hologram twice: the first transform for reconstructing the image contained by the hologram and the second transform for concentrating the energy of the object into a small region. Then only the energy-concentrated region is encrypted to reduce the amount of data to be encrypted. Experimental results show that when the diffraction distance of the second transform is about 20 m, the encryption ratio is only 0.0058% of the hologram data, which is enough to hide the object information unrecognizably.
Prediksi Hasil Ujian Kompetensi Mahasiswa Program Diploma Keperawatan

Nursing Diploma Degree Student Competency Test which has been done since 2013 is still found by students who have not passed. This makes the nursing college conducting the competency test have to think of corrective steps so that in each period of the competency test there are no more students who do not pass. One way to do this is to make predictions on the results of the competency test using the Adaptive Neuro Fuzzy Inference System (ANFIS) Method. The data used are past data from the results of the Nabila Nursing Academy competency test results from 2015 to 2019 totaling 146 data. The variables used are gender, participation status, academic achievement index (GPA), and follow the tryout. For ANFIS training data were used 50 data and 96 data for testing data. Obtained a minimum error of 0.00% and a maximum error of 0.94% and a MAPE value of 0.11%. With a small MAPE value it can be concluded that ANFIS can predict the results of competency tests in nursing diploma degree students.
Comparative Analysis of Keyframe Extraction Techniques for Video Summarization

Background: With the technological advancement, the quality of life of a human were improved. Also with the technological advancement large amount of data were produced by human. The data is in the forms of text, images and videos. Hence there is a need for significant efforts and means of devising methodologies for analyzing and summarizing them to manage with the space constraints. Video summaries can be generated either by keyframes or by skim/shot. The keyframe extraction is done based on deep learning based object detection techniques. Various object detection algorithms have been reviewed for generating and selecting the best possible frames as keyframes. A set of frames were extracted out of the original video sequence and based on the technique used, one or more frames of the set are decided as a keyframe, which then becomes the part of the summarized video. The following paper discusses the selection of various keyframe extraction techniques in detail. Methods : The research paper is focused at summary generation for office surveillance videos. The major focus for the summary generation is based on various keyframe extraction techniques. For the same various training models like Mobilenet, SSD, and YOLO were used. A comparative analysis of the efficiency for the same showed YOLO giving better performance as compared to the others. Keyframe selection techniques like sufficient content change, maximum frame coverage, minimum correlation, curve simplification, and clustering based on human presence in the frame have been implemented. Results: Variable and fixed length video summaries were generated and analyzed for each keyframe selection techniques for office surveillance videos. The analysis shows that he output video obtained after using the Clustering and the Curve Simplification approaches is compressed to half the size of the actual video but requires considerably less storage space. The technique depending on the change of frame content between consecutive frames for keyframe selection produces the best output for office room scenarios. The technique depending on frame content between consecutive frames for keyframe selection produces the best output for office surveillance videos. Conclusion: In this paper, we discussed the process of generating a synopsis of a video to highlight the important portions and discard the trivial and redundant parts. First, we have described various object detection algorithms like YOLO and SSD, used in conjunction with neural networks like MobileNet to obtain the probabilistic score of an object that is present in the video. These algorithms generate the probability of a person being a part of the image, for every frame in the input video. The results of object detection are passed to keyframe extraction algorithms to obtain the summarized video. From our comparative analysis for keyframe selection techniques for office videos will help in determining which keyframe selection technique is preferable.
All About June 2019 Google Algorithm Update

With the recent release of June 2019 Google Algorithm Update, there have been many changes in the search result. This article is all about what June 2019 ...
Item 2: Ballad of Isosceles 300 word statement

300 word 'REF-able' description statement for uploading to USIR and contextualising portfolio.
LibGuides: Temporary Resources for Spring 2020: Home

Many of our vendors are offering upgrades or free resources as so many universities have moved online.
IMPROVING DIFFERENTIAL EVOLUTION WITH ADAPTIVE AND LOCAL SEARCH METHODS

Differential Evolution (DE) is a population-based algorithm that belongs to the Evolutionary algorithm family. During recent years, DE has become a popular algorithm in optimization due to its stre ...
STANDARDIZATION OF SPOKEN TAMIL, A DIGLOSSIC LANGUAGE FOR TAMIL DIASPORA

Tamil is one of the oldest languages and classical languages of the world. Because of its longhistory of 2500 or more years of continuous existence with an unbroken chain of language of the mass forcommunication, it has got diversified varieties, namely, a standard spoken and a written variety or a prestigiousvariety, with many idiosyncratic uses of the min designated fields. Hence, Tamil is considered as a diglossialanguage. Diglossia refers to a situation where two language varieties occur at the same time. The Tamildiaspora, on the other hand, is a very strong and vibrant community whose presence has been found in at least188 countries all over the world. Migration to these countries was in wave after wave in different periods, ofwhich two dominant waves of migration were during the later Chola period and the period of English andFrench colonization. The Tamil diaspora, though separated by great distances, live with a life-force of onenessand togetherness along with the language and cultural features. They are deeply rooted in a common uniqueancient heritage, possessing a glorious culture and distinguished language. The language use is in differenttstages, from language loss to renowned development of literature. In this context, there is a need for a commonstandard spoken variety to be suggested for better development of the language and communication as well.This article aims at bringing in a common standardized spoken form so that communicability andcomprehensibility is maintained, which will help in the production of literature also throughout the diaspora.Since the spoken variety has crept into the educational system, standardization is inevitable. Therefore, thisresearch has an important role to play to set a model for other languages.
Partial data permutation for training deep neural networks

Random data permutation is considered as a best practice for training deep neural networks. When the input is large, permuting the full dataset is costly and limits scaling on distributed systems. Some practitioners use partial or no permutation that may potentially result in poor convergence. We propose a partitioned data permutation scheme as a low-cost alternative to full data permutation. Analyzing their entropy, we show that the two sampling schemes are asymptotically identical. We also show with minibatch SGD, both sampling schemes produce unbiased estimators of the true gradient. In addition, they have the same bound on the second moment of the gradient. Thus they have similar convergence properties. Our experiments confirm that SGD has similar training performance in practice with both sampling schemes. We further show that due to inherent randomness such as data augmentation and dropout in the training, even faster sampling schemes than partial permutation such as sequential sampling can achieve good performance. However, if no extra randomness is present in training, sampling schemes with low entropy can indeed degrade performance significantly.
Pengembangan Media Pembelajaran Permainan Kartu Yugioh! Pada Mata Pelajaran Korespondensi di SMK Krian 2 Sidoarjo

Correspondence Subjects are one of the productive subjects that must be taken by SMK students (Vocational High Schools), especially vocational students in the field of expertise in OTKP (Office Management Automation) found in class X OTKP. This subject covers Basic Competencies in Applying Communication by Telephone in Indonesian. The implementation of learning conducted by the teacher to explain the material using power point learning media, but the teacher has never makes variations of learning on the power point media and the teacher explains still using the lecture method. This causes students to tend to feel bored in learning that is too monotonous. In addition, results of distribution of questionnaires to use of power point learning media used by teachers, namely 25% of students tend to feel bored in using power point media, 15% of students are not interested in power point media used by teachers, 15% of power point media used by the teacher is not easily understood by students, and 45% of students can understand the delivery of material using power point media from the teacher. This research was conducted with the aim to find out the results of developing Yugioh card game learning media! on the subject of correspondence at SMK Krian 2 Sidoarjo. So with the Yugioh! card game learning media can help the learning process is more interesting and make students motivated to better understand learning material. During the learning process students can play an active role, cooperate with each other, and can think critically. The type of research used is Research and Development (R&amp;D) with the 4D development model is namely define, design, develop, and disseminate. However, this research was only carried out at the design stage only due to limitations in this study. Based on the results of the study, at the stage of define carried out an analysis of the things needed in media develop, namely the early analysis, student analysis, task analysis, concept analysis, and specification of learning objectives. After defining, the design phase is carried out which is carried out several stages, namely the design of the material into learning media, the initial design of instructional media, determining the contents of the card and the design of the card, after the next design is carried out media printing. So it can be concluded the development of Yugioh! card game learning media can help the learning process more interesting and make students better understand the learning material.
Ulema on Kompas News: A Corpus-Based Critical Discourse Analysis

This study aims to describe how topics about ulemas are represented in Kompas.To this end, a corpus-based critical discourse analysis is performed by employing a keyword method.The corpus is built from ulemas-related news collected from KOMPAS from January 2017 to April 2019.After the news corpus is analyzed, the keywords found are then categorized into semantic categories to find out the semantic preference of ulemas-related news.A concordance is then generated for each of such keywords in order to obtain the context of the news and further to find out the main topic discussed.As the result, several salient topics are found in ulemas-related news, namely (1) politics, (2) group, (3) blasphemy, and (4) education.
Perbandingan Media Pembelajaran Flashcard dengan Gambar Berseri dalam Keterampilan Menulis Karangan Bahasa Jerman Mahasiswa Program Studi Pendidikan Bahasa Jerman FBS UNM

Abstract . This research aims to describe the comparison of Flashcard learning media and serial pictures in writing skills in German students. This research was designed in the form of experimental research. The subjects of this study were 56 students consisting of 28 students of class A as experimental class 1 with the application of Flashcard media and 28 students of class B as experimental class 2 with the application of media of serial pictures. Data collection was carried out through a German writing skills test. The results obtained in the two experimental groups showed that the average learning outcomes of German writing skills after being given a Flashcard treatment was 66.64 and the radiant images were 61.5. Data were then analyzed using t-test analysis and showed that 2,107> tt 2,005 at the significant level of 0.05. The results showed that Flashcard learning media and serial pictures influence the German writing skills. Although the achievement of the learning outcomes of students' experimental group 1 (class A) learning skills taught using Flashcard learning media is superior to the experimental group 2 (class B) that is taught using serial learning media. However, the use of both media is equally effective and has increased student learning outcomes after its application in learning Keywords : Learning Media, Flashcard, Series Picture, German language, Writing
Network Design & Install

Spirit Exsel offers a comprehensive range of IT network installation services, irrespective of the size and unique requirements of your business, across central belt of Scotland.
James P. Adams Library: Open/Open-Enabled Pedagogy: Practitioner Perspectives

Subjects: Open Access, Open Educational Resources & Open Textbooks Tags: oer, oer-enabled pedagogy, open, open collaboration, open educational resources, open pedagogy, open p
Schema and Comprehension

This review will focus on the effect of schema on upper elementary reading comprehension test scores as well as how to build the desire for upper elementary students to self-question while reading. Accordingly, this deficiency in comprehension skills and practical strategies have been evident in classrooms across the nation. This review investigates scholarly research contrasting striving readers and exceptional readers’ schema and characteristics. Next, research is presented to explore the gap between striving and exceptional readers in hopes of finding practical ways to bridge that gap between readers. Therein, this research is synthesized to help students build the desire for self-questioning while reading. This research is then applied to teaching implications and what a classroom might look like. An inability to monitor metacognitively and apply strategies was found to be a major reason why students struggle with comprehension (Anderson & Pearson, 1984; Pressley, 2000; Snow, Burns, & Griffin, 2002; Mason, 2004). Therefore, teachers must explicitly instruct and model those processes to increase comprehension skills and comprehension test scores.
The impact of image filters on machine classification and human perception of weather conditions

Nowadays with the growth of social media, users upload millions of photos in different platforms online. Researchers in the field of computer vision devote their time and effort to analyze images in order to gain valuable insight. Data analysis and classification can be impeded by different factors. One of which is the image filters that are studied in this work. People greatly change the appearance of their photos by adding filters in order to make them more appealing. Instagram is arguably one of the most popular social media platforms online. With the platform’s growth, filtering images has also become more popular. In this thesis a subset of Instagram filters has been selected in order to study their impact with a series of experiments. To our knowledge, no mention has been made of image filters’ impact in prior work, in the domain of machine classification and human perception. Image filters can create many challenges depending on the application they are used in. In this thesis, focus has been given on classification of weather conditions. Systems have been designed to receive images and accurately identify the weather conditions that exist in them solely using visual features and no prior knowledge. In weather forecasting a lot of resources are spent in order to study past and current weather conditions so as to predict the state of the weather in the future. Gathering and documenting weather related information can be aided by these aforementioned systems. However, if researchers would like to use social images to extract insight, they need to change their approach accordingly. As it is documented in the following chapters, dealing with these photos can be problematic and can cause huge decline in performance. For this reason, the algorithmic design has been changed by using different techniques inspired from the domain of Adversarial Machine Learning to measure their effect. In addition to machine classification, filters can influence human perception as well. A study is conducted that measures the impact filters have on the ability of humans identifying the weather conditions in images. From the quantitative and qualitative analysis of the results several key findings are extracted regarding the effect of filters and the visual cues that are used by people. People have identified certain visual cues that have not been encoded in the classifier such as the type of clothing people are wearing. Instead much simpler features have been engineered and the performance of the classifier is still quite high.
Compositional Models: Iterative Structure Learning from Data

Multidimensional probability distributions that are too large to be stored in computer memory can be represented by a compositional model—a sequence of low-dimensional probability distributions that when composed together try to faithfully estimate the original multidimensional distribution. The decomposition to the compositional model is not satisfactorily resolved. We offer an approach based on search traversal through the decomposable model class using likelihood-test statistics. The paper is a work sketch of the current research.
Accounting Students’ Academic Fraud: Empirical Evidence from Indonesia

The high rates of academic fraud in many countries make this research important to be conducted. This research aimed at investigating the factors which influenced accounting students’ academic fraud as seen from fraud triangle theory and 220 accounting students were randomly sampled to be its samples. The data were collected using a questionnaire distributed either in person to the respondents or using a google form. The data were analyzed using multiple regression. The research results indicated that fraud triangle (pressure, opportunity, rationalization) and academic entitlement had a significant influence on accounting students’ academic fraud. This means lecturers could minimize academic fraud among their students by reducing pressure, opportunity and rationalization as well as academic entitlement