Reviewerly/exHarmony huggingface dataset:
Increasing Basic Reading Skill for Children with Learning Difficulties through SILABA Method

This research is motivated by the problems found in five students with learning difficulties in grade two. This study aims to prove the effectiveness of the SILABA method in improving beginning reading skills for children with learning difficulties. This study used an experimental method in the form of a pre-experimental design or a quasi-experimental with the type of one-group pretest-posttest design. This research conducted pre-test, treatment, and post-test. The treatment was given with the SILABA method and continued by giving a post-test to see the ability after treatment. The pre-test and post-test values were processed and compared using the Mann-Whitney to test the research hypothesis. The results of this study were obtained based on data analysis seen from the pre-test value. The data was processed using the Mann-Whitney test. It was obtained that Uhit = 2.5 and Utab = 2 with n = 5 at a significant level of 95% and = 0.05. The alternative hypothesis is accepted because Uhit > Utab, so it is proven that the SILABA method is effectively used to improve early reading skills for children with learning difficulties. Suggestions in this study are expected that schools can develop students’ initial reading skills using the SILABA.
Quality of university libraries: the case of the Universidad de Granada

Objective: To present the analysis of the bibliographic collection of the Universidad de Granada (UGR) taking as a reference the teaching guides of the Degree in Psychology during the academic year 2019/2020. Method: An analysis of the bibliographic collection of the teaching guides of the Degree in Psychology of the UGR was carried out. Documents were analysed by title, year, document categorisation, document type and subject data. Information on availability and the possibility of consulting the document online was also included. The search was carried out in the automated online catalogue of the UGR Library. Results: A total of 1,775 bibliographic references were contained in the teaching guides of the 49 subjects (distributed among six departments). A total of 76.8% were considered complementary by the teachers and 89.2% of the proposed documents were books. The UGR libraries had 81.8% of the references, while the Psychology library had 65.8% of the material. 24.4% of the references had a more up-to-date edition in the library. Contribution: The analysis of the bibliographic collection provides information on the adequacy of the teaching guides and the availability of the university library collection. This is an indicator of the quality of teaching and of the university library system.
Educación intercultural ante el impacto de las nuevas tecnologías y el Covid 19

espanolLa presente investigacion analiza los retos pedagogicos que significa la educacion intercultural en la situacion de confinamiento sanitario que las estrategias para enfrentar el COVID-19 presentan. Significa reproducir los valores y haberes inherentes a esta pedagogia a traves de los recursos que las Nuevas Tecnologias de la Comunicacion social ofrecen. Debe informarse de las caracteristicas fisicas del mundo, capacitar y desarrollar destrezas y competencias, concientizar en la importancia de atender los modos de vida que se comparten respecto a la vigencia de la dignidad como realidad que articula convivencia; esto, en el espacio virtual. Destaca el hecho que el exito a al alcanzar amerita los valores que la educacion intercultural promueven. Se trata de una investigacion etnografica al analizar una situacion pedagogica especifica. EnglishThis research analyzes the pedagogical challenges that intercultural education means in the situation of sanitary confinement that the strategies to face COVID-19 present. It means reproducing the values and assets inherent to this pedagogy through the resources that New Technologies of Social Communication offer. They must learn about the physical characteristics of the world, train and develop skills and competencies, raise awareness of the importance of attending to the ways of life that are shared with respect to the validity of dignity as a reality that articulates coexistence; this, in virtual space. It highlights the fact that success in reaching deserves the values that intercultural education promotes. It is an ethnographic investigation when analyzing a specific pedagogical situation.
Random-grid-based user-friendly visual cryptography scheme

To solve the problem of large visual cryptography expansion, a scheme of(2, 2) visual cryptography based on random grid is proposed. The proposed scheme is different from the existing visual cryptographic schemes based on random grid. The shared images produced by the scheme are meaningful, and they have the same size as that of the original secret image. The scheme distinguishes the white and black areas of an image according to the proportion of white pixels in the area. The first shared image is generated by the given proportion of white pixel in the white and black areas and the first cover image. Then, another shared image is produced according to pixel color of the first shared image, secret image and another cover image. The cryptography scheme is verified by experiments. Experimental results verify the effectiveness of the proposed scheme, and it is indicated that the secret image restored by the scheme is clearer than other schemes.
LibGuides: Maker Kits: Raspberry Pi

Maker Kits are part of the loanable equipment available at the OSU Valley Library. These kits can be used to invent, create, and develop new skils.
Design of Dual Homing Backup Link on Routing Border Gateway Protocol With Method Hot-Swap Routing Protocol

The importance of the role of the network at this time makes companies and organizations look for ways to keep data flows running without downtime. Application of link backup is one way to overcome this. The need for the use of backup links at this time is expected to ensure the smooth running of the company is running its business. In this study, a design that will use BGP routing as well as using the methods HSRP and VLAN (Virtual Local Area Network) on the switch as supporters. The results obtained from the tests that have been carried out have resulted in the application of a backup link using BGP routing with the method HSRP can provide network availability of almost 0 percent in overcoming interference.
Konsistensi Petunjuk Penggunaan Alat Peraga untuk Penentukan Luas Daerah Jajaran Genjang dan Luas Daerah Segitiga Bagi Siswa SD 6 Mataram

The purpose of this study is to know the consistency and effectiveness of the instructions for the use of props to determine the area of the parallel ranks and the area of triangles for students of SD 6 Mataram. It is realized that the research was conducted during the COVID 19 pandemic, so that the media is designed to be a learning vedio that describes the use of props and operational guidelines narrated on the vedio. Based on the observations of 9 elementary school teachers as narrative practitioners of operational guidelines, it appears in accordance with the instructions for the use of such props. The subjects of this study were grade VI Mataram elementary school students as young as 3 grades. The evaluation results showed that the average score obtained from the three pairs of classes did not differ significantly at the level of significance of 5 % because it was obtained &lt; ttabel = 2.0002. On the other hand, the completion obtained by students in each class in each region &gt; 80%. This means that students are complete in learning about the area of genakang ranks and the area of triangle area with KKM = 70. On the other hand, the message is the same because the average score that each class gets for each region does not differ significantly. Thus the application of instructions for the use of props determines the formula of the area of the parallel range and the area of the triangle consistently and the use of effective props for students of SD 6 Mataram
Experiences of People Keeping a Three Good Things Daily

The Three Good Things Daily is considered an approach using positive psychology to enhance human happiness. For this study, we conducted an interview survey of seven people to clarify their experiences of using the Three Good Things Daily
Discussion on the Construction and Application of Navigation Electronic Map Quality Inspection Sample Database

In order to improve the scientificity and efficiency of quality inspection of navigation electronic map, and save the cost of quality inspection, it is necessary to establish the national navigation electronic map quality inspection sample database. In this paper, the construction goal, data acquisition technology process, and database construction method of navigation electronic map quality inspection sample database are described in detail, and the construction content and technical indicators are discussed. The quality test is carried out by combining the in-house verification with the field comparison of the navigation electronic map quality test sample database, and the test results are analyzed and evaluated. The effective application of the sample database in the quality test and evaluation of the internet navigation electronic map in the pilot area is carried out. At the same time, the application of navigation electronic map quality inspection sample database in the research of urban fine management and solid waste recycling economy ecological park planning is prospected.
Class Balancing GAN with a Classifier in the Loop

Generative Adversarial Networks (GANs) have swiftly evolved to imitate increasingly complex image distributions. However, majority of the developments focus on performance of GANs on balanced datasets. We find that the existing GANs and their training regimes which work well on balanced datasets fail to be effective in case of imbalanced (i.e. long-tailed) datasets. In this work we introduce a novel and theoretically motivated Class Balancing regularizer for training GANs. Our regularizer makes use of the knowledge from a pre-trained classifier to ensure balanced learning of all the classes in the dataset. This is achieved via modelling the effective class frequency based on the exponential forgetting observed in neural networks and encouraging the GAN to focus on underrepresented classes. We demonstrate the utility of our contribution in two diverse scenarios: (i) Learning representations for long-tailed distributions, where we achieve better performance than existing approaches, and (ii) Generation of Universal Adversarial Perturbations (UAPs) in the data-free scenario for the large scale datasets, where we bridge the gap between data-driven and data-free approaches for crafting UAPs.
Image filtration in Python using openCV

Image processing is an area consisting of different phases for manipulating pixels of an image. Image processing is an enhancement of images which affects an image's pictorial view. Image processing is the process of converting an image into digital form and then performing various operations on it, such as enhancing the image  or extracting useful information. Image filtering is a technique for altering the scale, shape, color, depth, smoothness, and other aspects of images. Essentially, it modifies the pixels of an image to transform it into the desired form using various types of graphical editing methods via graphic design and editing software. In Image Improvement, the removal of noise is very necessary and filters are used for this. This paper introduces some filters that will give you a better version of your image. Using different kinds of filters provides you noise free images.
Digital distance education in the pandemic COVID-19

A documentary review was made of the scientific production registered in the Scopusdatabase regarding the study of Digital Distance Education in the COVID-19pandemic worldwide, with the purpose of knowing the main characteristics of thegeneration of new knowledge on the aforementioned topic. The information to beanalyzed is provided by Scopus through its Search tool, by means of which the data isfiltered in such a way that a total of 1,069 papers published in high impact journals areobtained, referring to distance education during the COVID-19 pandemic. Due to itsnature, the temporal delimitation is defined by the two semesters of 2020 and the f irstsemester of 2021. The bibliometric review is performed on the basis of these data,which are classified according to their area of knowledge, country of origin andaffiliation. Once the information is classified, certain papers are analyzed from abibliographic perspective to know and define the position of different authors withrespect to the proposed topic.
Analyzing the Views of Pre-Service Teachers on the Use of Augmented Reality Applications in Education

It was aimed in this study to determine the teacher candidates' views on the augmented reality applications in education. It is a descriptive study to identify the present situation. Survey model, one of the quantitative research methods, was used in the research. The sample group of the study is comprised of 220 teacher candidates who are studying in the 2nd Grade of 8 departments in Mersin University Faculty of Education. Consisting of 4 sections, 22 items and an open-ended question, a questionnaire was used as a data collection tool in the study to determine the views of teacher candidates about the augmented reality applications in education. The findings obtained from the analysis of the data were shown in frequency and percentage. Qualitative findings obtained from the open-ended question were classified into codes and themes through content analysis method, and frequency and percentages of codes were given. It was found in the study that the teacher candidates did not know well enough about the augmented reality applications and that those who knew them found these applications very entertaining, motivating and facilitating learning, and were also of the same mind to use them widely in education.
SISTEM APLIKASI SKRINING TINGKAT DEHIDRASI MENGUNAKAN METODE CASE BASE REASIONING DAN CERTAINTY FACTOR

Water is an important nutrient needed by the body. Dehydration is a condition when human body tissue loses fluids abnormally and this is very often underestimated so that sometimes severe dehydration can cause death. However, for now the detection of dehydration is only based on the analysis of the health team with several clinical signs of dehydration. From these problems, it is necessary to have research related to automation systems to detect levels of dehydration that can be used by ordinary people, so as to reduce the number of dehydration sufferers who are not treated because they do not know the symptoms of dehydration from the start. The purpose of this study is to develop a screening application to identify the level of dehydration in the human body that combines CBR (case base reasoning) and CF (certainty factor) methods to achieve higher accuracy values. With this screening application, it is hoped that users can easily and quickly find out the level of dehydration they experience based on the symptoms they feel and also get information about solutions for treatment or treatment that need to be done before coming to the health center or to the doctor. Based on the results of the screening application trial of 15 respondents to identify the level of dehydration in the body, it showed 60.03% stated good with an average overall score of 3.87 for the user interface aspect. The software engineering aspect shows 53.35% states good (agree) with an average overall assessment score of 3.92 which indicates that the screening application system developed and made can be used as a reference to help users or users determine the level of dehydration of the body. Keywords: Dehidrasi , Skrining , Case Base Reasioning, Certainty Factor .
SMART BOOK USING AUGMENTED REALITY

Augmented Reality has brought significant contributions to the field of Education. This paper presents an Augmented Reality application for mobile devices that complements and supports learning of geometric figures.The lack of understanding through theory reading is the major issue for more students to hate studying. For many people reading books and learning in a theoretical manner is a difficult and frustrating experience they justifiably want to avoid. So here come’s our solution SMART BOOK, where it combines the theoretical book with augmented holograms from which students can study by seeing real time holograms of interesting videos through that book just by clicking a button image in a book. It combines both theoretical and real time learning experience. For example if our book contains a page with universal solar system image, below it also contains a button image which if a student presses that button image on our book it will show the whole solar system model appearing and starts revolving around on top of the book like a hologram. So with that the student can see how it actually looks in real life. We are going to draw and create a handwritten book for our prototype and make that book as a SMART BOOK. For example to learn a crow fox story book initially the outline of the story is written on the paper and below a button can be drawn (everything will contain within a single page of a book). And using augmented reality it could make that button drawing as a touch tracker image, where by touching the button virtually it will play the video of crow fox story as a computer generated 3D video above your smart book like hologram. It can be experience this either by using  Mobile Phone / Hololens etc.
Information Theoretic Meta Learning with Gaussian Processes

We formulate meta learning using information theoretic concepts; namely, mutual information and the information bottleneck. The idea is to learn a stochastic representation or encoding of the task description, given by a training set, that is highly informative about predicting the validation set. By making use of variational approximations to the mutual information, we derive a general and tractable framework for meta learning. This framework unifies existing gradient-based algorithms and also allows us to derive new algorithms. In particular, we develop a memory-based algorithm that uses Gaussian processes to obtain non-parametric encoding representations. We demonstrate our method on a few-shot regression problem and on four few-shot classification problems, obtaining competitive accuracy when compared to existing baselines
MARViN -- Multiple Arithmetic Resolutions Vacillating in Neural Networks

Quantization is a technique for reducing deep neural networks (DNNs) training and inference times, which is crucial for training in resource constrained environments or time critical inference applications. State-of-the-art (SOTA) quantization approaches focus on post-training quantization, i.e. quantization of pre-trained DNNs for speeding up inference. Very little work on quantized training exists, which neither al-lows dynamic intra-epoch precision switches nor em-ploys an information theory based switching heuristic. Usually, existing approaches require full precision refinement afterwards and enforce a global word length across the whole DNN. This leads to suboptimal quantization mappings and resource usage. Recognizing these limits, we introduce MARViN, a new quantized training strategy using information theory-based intra-epoch precision switching, which decides on a per-layer basis which precision should be used in order to minimize quantization-induced information loss. Note that any quantization must leave enough precision such that future learning steps do not suffer from vanishing gradients. We achieve an average speedup of 1.86 compared to a float32 basis while limiting mean accuracy degradation on AlexNet/ResNet to only -0.075%.
Operating System Design Sensor Networks Using Artificial Intelligence

Lots of technical issues that affect the sensor networks focusing on management, optimization and management. Many applications such as video conferencing, distance education etc., require to send a timely message from one end to the other selected base stations. These applications have stringent Quality-of-Service (QoS) needs including loss rate, insufficient bandwidth and delay. The objective of the work is to provide a reliable data-transmission by applying Artificial Intelligence (AI) mechanism from source to sink. Machine learning algorithm is applied to improve the routing facilities by monitoring the network traffic. Threshold management is difficult to maintain in operating system design sensor networks (OSDSN) since the network configuration changes often. Therefore supervised learning algorithm is applied for finding node fitness rate that involves the route with high link quality.
A Self-Supervised and Predictive Processing-Based Model of Event Segmentation and Learning

Author(s): Basgol, Hamit; Ayhan, Inci; Ugur, Emre | Abstract: Event is a fuzzy term that refers to bounded spatio-temporal units. Events guide behavior to allow adaptation to complex environments. The study of event segmentation investigates mechanisms behind the ability to segment the continuous information flow into discrete units. Event Segmentation Theory states that people predict observed ongoing activities and monitor their prediction errors for event segmentation. In this study, inspired by Event Segmentation Theory and predictive processing, we introduced a computational model of event segmentation and learning. In order to verify that our method can segment ongoing activity into meaningful parts and learn them via passive observation, we compared the performance of our method with humans for fine and coarse segmentation tasks in two psychological experiments. The results demonstrated that our model not only learned segmented behavioral units accurately but also displayed similar segmentation performances with human subjects.
About using unicode to hide information in a text document

Steganography develops tools and methods for hiding the fact of message transmission. The first traces of stegano-graphic methods are lost in ancient times. From detective works, various methods of secret writing between the lines of ordinary text are well known: from milk to complex chemical reagents with subsequent processing. Digital steganography is based on hid- ing or embedding additional information in digital objects while causing some distortion of these objects. In this case, text, images, audio, video, network packets, and so on can be used as objects or containers. To embed a secret message, steganographic methods rely on redundant container information or properties that the human perception system cannot distinguish. Recently, there has been a lot of progress in hiding information in a text container, since text documents are used in many organizations. Based on this, here the MS Word document is considered as a data carrier, which has various parameters, changing these parameters can achieve data integration. In the same article, we present steganography using invisible Unicode characters of the Space type, but with a different encoding.