Reviewerly/exHarmony huggingface dataset:
Abstraction Mechanisms Predict Generalization in Deep Neural Networks

A longstanding problem for Deep Neural Networks (DNNs) is understanding their puzzling ability to generalize well. We approach this problem through the unconventional angle of \textit{cognitive abstraction mechanisms}, drawing inspiration from recent neuroscience work, allowing us to define the Cognitive Neural Activation metric (CNA) for DNNs, which is the correlation between information complexity (entropy) of given input and the concentration of higher activation values in deeper layers of the network. The CNA is highly predictive of generalization ability, outperforming norm-and-margin-based generalization metrics on an extensive evaluation of over 100 dataset-and-network-architecture combinations, especially in cases where additive noise is present and/or training labels are corrupted. These strong empirical results show the usefulness of CNA as a generalization metric, and encourage further research on the connection between information complexity and representations in the deeper layers of networks in order to better understand the generalization capabilities of DNNs.
Algorithm of Flight Path Replication

Currently in year 2019, flying drone technology has become a common technology available inthe market. There are consumer drones which enable user to take high resolution pictures andvideos from the sky and industrial grade drone which can be used for surveillance and for productdelivery purposes. However, most of the drone currently need to be remotely control by a person.For a surveillance drone in order to patrol the area on a fixed flying path, heavy coordinationprogramming will be needed to program on the drone which will require huge amount of timeand resources. Besides, this method is not flexible at all since a total reprogram of the flying pathwill be needed if there are any changes on the flying path. Moreover, even auto pilot features maybe found on some drones, most of them are GPS based which will not be able to function properlyif there are disturbance of GPS signals. The idea is to develop an algorithm which enable a droneto replicate the flying path of the drone by only fly through the flying path once. Therefore, thisproject main purpose is to develop a flying path replication algorithm specially for drones. Thealgorithm was planned to be used in surveillance drone which will help user to program thesurveillance flight path easily. In this project, a methodology was proposed to develop a programthat able the drone to record flying input command during flight. Besides, the program will enablethe drone to take picture during the flight which will used for image comparison. Next, bycombining the flight input command recorded and image comparison for position checking, itenables the replication of flight movement for the recorded flight path. Unity Editor was used asthe main platform for controlling the drone. Microsoft Visual Basic was use as the programmingplatform to develop the program and script to be used in unity editor. The focus of this projectwas on flying path replication algorithm to ensure that the drone able to recreate the exactly sameflying movement or flying path. Less focus will be put on self-position correcting since the aimof the project is to demonstrate the idea of flight path replication. The result of the project showsthat the idea of using image comparison and keystroke capture to replicate drone’s flight pathworks well inside indoors. At outdoors, various uncontrolled variable such as sunlight and windaffected the accuracy of the algorithm. In short, the idea works but in future works, differentmethod of image comparison and self-position correcting algorithm was needed to implementinto the system for the system to be fully complete and usable since this is the first step towardsthe idea of drone’s flight path replication algorithm with only using input capture and imagecomparison without the use of GPS.
The Cybernetic Ethos of Cryptocurrencies: Economic and Social Dimensions

The last years have experienced an effervescence in the field of monetary innovation, concerning both complementary currencies and cryptocurrencies. The scenario of innovation has been intensively investigated with regard to economic and socio-political aspects. Against the peculiar multidimensionality of the phenomenon, the paper argues that the analysis should take the opportunity of grasping a cobelonging between the economic and the social. Whether they seem related to a proliferation of new forms of sociality (as in many experiences of complementary currencies) or to a disquieting desocialization (as in certain domains of the cryptocurrencies' world), the social dimensions of the new monies can be fruitfully analyzed by focusing on how they are consonant with certain basic conceptions of economic life. After a brief discussion of this point with regard to complementary currencies, the above-mentioned theoretical approach is used to investigate the cybernetic ethos of cryptocurrencies. The analysis shows that the socio-technical imaginaries of some cryptocurrencies (with particular regard to Bitcoin) call into question the relationship between human and non-human agency and are complicit with certain ideas of economic life, one of whose main traits concerns the demand for unconditionally assuring the economic and for denying the dimension of uncertainty.
Mobile and Personal Learning for Newcomers to a City

Growing numbers of newcomers arrive in cities across the globe as temporary visitors or for longer periods of time. They often face communication challenges and need to learn a new language or improve their knowledge quickly. The article considers the domain of language learning for social integration and inclusion, what it means to be a newcomer to a city, and the role of mobile technologies in advancing a more personal approach to language learning. Mobile learning research explores innovative and practical solutions to the specific challenges faced by newcomers, and it revives, develops or reinterprets pedagogical methods and underlying learning theories. To illustrate this, three research projects conducted at The Open University, UK, focusing on migrants’ learning with mobile apps, are presented and reflected upon. Mobile learning experiences deliberately designed for newcomers to a city can support them in everyday language learning and in their efforts to explore their new environment. The article includes suggestions as to what seems to be missing from current apps for newcomers. It considers relevant issues and future directions for the design of mobile apps and services for this diverse target group.
PENGARUH MODEL KOOPERATIF TIPE COOPERATIVE INTEGRATED READING AND COMPOSITION TERHADAP HASIL BELAJAR SISWA PADA TEMA 7 SD NEGERI 85 PAREPARE

This study examines the influence of the use of the CIRC model of SD 85 Parepare.  The formulation of the problem studied is whether there is an influence on the implementation of the CIRC learning model on student learning outcomes in Theme 7 of Togetherness Subtema 4 Learning 1 class II SD Negeri 85 Parepare.  This study aims to determine the effect of implementing the CIRC learning model on student learning outcomes in Theme 7 Togetherness Subtema 4 Learning 1 class II SD Negeri 85 Parepare.  This study uses a quantitative approach to the type of experimental research and uses Pre-experimental Design in the form of One Group Pretest-Posttest Design.  The sampling technique used was purposive sampling with a sample of 20 students.  Data collection techniques in this study were observation, tests in the form of multiple choices and documentation.  Data analysis used descriptive statistical analysis techniques and inferential statistical analysis techniques.  The results of hypothesis testing using the Paired Sample T-Test test obtained significance of 0.00 (0.00 ttable (12.899> 2.86093) indicate that H0 is rejected and Ha is accepted.  This difference can be seen in the average student pre-test and post-test learning outcomes obtained in the experimental class.  Based on these results, it can be concluded that the CIRC learning model has an effect on the learning outcomes of SD 85 Parepare students.
FORMATION OF PEDAGOGICAL COMPETENCE OF TEACHERS OF PROFESSIONAL EDUCATIONAL ORGANIZATIONS

Today, the production potential of the state is positioned as a key condition for the economic development of society. The qualification level of employees who occupy any position, from cashier to federal official, affects not only the efficiency of work, but also the speed of progress in the economy and, finally, the overall competitiveness of our country in the context of international market relations. The primary factors that determine the level of competitiveness of the state economy, of course, include the quality of training of new personnel, which is directly related to the degree of co-integration of the relevant sphere of public life (one of the four basic, along with political, social and spiritual) with the educational sector. From the point of view of the vast majority of national authors, in modern Russia there are serious problems with the training of highly skilled workers and leaders have to lead their employees to the required professional level through special courses and programs within the organization. Effective solution of the resulting tasks contributes to the promotion of employees on the official (career) ladder. This evolution can be described as a gradual, positive dynamic promotion of specialists in the field of industrial, scientific, creative or any other constructive activity from the basic qualification level to the highest one that is, in other words, as the career development of a particular individual, taking into account his mental, psychological, professional and other resources.
A Study of Attitude of Teachers and Students towards Use of M-Learning

In India now a day’s education system has come to a long way and the age old traditions have undergone to a new makeover. As day has passed people discovered so many new techniques for curriculum transformation. Teaching learning process become technology based. Teachers started to use those technologies into their teaching learning process. The objective of present study is to study the attitude of teachers and students towards use of M-Learning. This study is conducted on stratified randomly selected sample consisted 73 teachers and 427 students of different streams. Self made attitude scale is used for the collection of data. ‘t-test’ and ANOVA statistical techniques are used for analysis of data. It is found that male teachers have more positive attitude towards use of M-Learning rather than female teachers. 30 to 34 age group teachers have more positive attitude towards use of mobile learning then the other age group of teachers. Male and female students have same attitude towards M-Learning. It shows that each student is using mobile phone as a learning device to a certain extent.
Impact of tone-mapping operators and viewing devices on visual quality of experience of colour and grey-scale HDR images

Tone-mapping-operators (TMOs) provide a useful means for converting high dynamic range (HDR) images to low dynamic range (LDR) images so that they can be viewed on standard displays, but this may influence the visual quality of experience (QoE) of the end-user. There is a need to understand the impact of TMOs to inform the choice of TMO algorithms for different displays, especially for small-screen-devices (SSDs) such as those used in mobile phones. This is important, as mobile devices are becoming the primary means of consuming multimedia contents. However, few studies have been undertaken to assess the impact of TMOs and viewing devices (especially SSDs) on the visual QoE of the user when using. In this chapter, we evaluate subjectively and objectively, the commonly used TMOs in different displays and resolutions for colour and grey-scale HDR images. Our results show that viewing devices have an influence on the TMOs performance, suggesting the need for a careful choice of TMO to enhance the viewing-QoE of the end-user. As expected, the higher resolution, the better HDR-image quality. Surprisingly, there was no significant difference between the Mean of Opinion Score (MOS) scores for colour and grey-scale images in SSDs. The device and TMOs affect QoE for colour and grey HDR-image equally. We found Shannon entropy (SE) to be a good objective measure of quality for colour and grey HDR images, suggesting that entropy may find use in automated HDR quality control assessment schemes, while; HDR-VDP-2 is a good objective measure for colour HDR image only.
GioWhatsApp APK Download v7.30 (Official Latest Version 2020)

WhatsApp is a widely used messaging App in the world. But it does not mean that it is the one that meets users expectations at its best. Compared to ...
Reserve capacity and aging: The effect of education and activities on executive functioning in the elderly

The study of factors likely to modulate the effects of aging is a topical issue insofar as most industrialized countries are experiencing an increase in the number of elderly people, and are therefore having to consider how to maintain their independence. This latter is linked, in part, to preserving the cognitive efficiency of seniors. Several studies have argued that cognitive efficiency is modulated by the existence of a reserve capacity. In order to test this hypothesis, we submitted a questionnaire to 40 seniors between the ages of 65 and 84, to assess their level of education and their activities throughout their lives, and then we administered them tasks measuring their cognitive and executive functioning. The results indicate that levels of education and activities contribute in different ways to cognitive efficiency, and particularly to some executive functions in the elderly.
E-Procurement, Supply Chain Performance and Inter-Organizational Communication

This research aims to investigate the effect of e-procurement on supply chain performance (SCP) focusing on the role of inter-organisational communication (IOC) in the oil industry. E-design, e-evaluation, e-sourcing, and e-negotiation were identified as the most important dimensions of e-procurement. Likewise, inter-organisational information systems (IOS) and inter-organisational trust were considered the main dimensions of inter-organisation communication. The statistical population consisted of procurement and purchase managers, buyers, and experts in the oil industry. To test the hypotheses and determine the relationship among the model variables, the structural equation modelling approach was used. The results imply a positive effect of e-procurement on SCP. Moreover, a positive impact of IOS and trust on SCP was confirmed. According to the importance of IOC for industrial sellers, buyers, and also industrial marketers, this research provides practitioners with a strategic perspective when dealing with e-procurement systems to improve SCP.
‘우리 몸의 구조와 기능’ 애니메이션 제작을 활용한 STEAM 프로그램 개발 및 적용 효과

The purpose of this study is to investigate the effect of STEAM program on students’ academic achievement, creative problem-solving ability, scientific inquiry ability and scientific interests of elementary school students. For this, we developed a STEAM program to utilize animation production about ‘structure and function of the our body’ unit in 5th grade. The STEAM program was developed for a total of 9 sessions and was applied to the experimental group. The theoretical lesson of the 2009 revised curriculum was consisted of 11 sessions and was applied to the comparative group. The results of study showed significant differences of the students’ academic achievement, creative problem-solving ability to the experimental group participating in the STEAM program and also showed significant effects in the domains of subject contents and teacher preference, which are the areas of scientific interests compared to the comparative group. This means that the STEAM program to utilize animation production about ‘structure and function of the our body’ developed in consideration of the characteristics of elementary students positively influenced the academic achievement, creative problem-solving ability and scientific interests of elementary school students. In the future we need to develop STEAM programs more variously that utilize animation production and that it needs to be applied to elementary schools.
Aplikasi Tes Online (ATOS) Media Latihan Ujian Nasional Berbasis Komputer untuk Siswa Kelas XII SMK PGRI 1 Giri Banyuwangi

Computer-Based National Examination (UNBK) also called the Computer Based Test (CBT) is a system of implementing national examinations using computers as the test media. The implementation of UNBK is still not optimal, especially in district cities or remote areas. SMK PGRI 1 Giri is one of the schools in Banyuwangi Regency with a low graduation rate. Some of the causes of the decline in the value of computer-based national exams in Banyuwangi is the panic of students because they are not accustomed to working on the questions in the time listed on the monitor that makes students nervous, the other cause is some students are not accustomed to working on computer-based exam questions. Based on the above problems, it is necessary to develop a computer-based exam application that is designed to have a work principle and appearance that is almost the same as the computer-based national examination system (UNBK). In this study, the Online Test Application (ATOS) was designed using PHP and MySQL with the waterfall development method, so that it can be used by Teachers to train students computer-based exams.
Resource Burning for Permissionless Systems.

Proof-of-work puzzles and CAPTCHAS consume enormous amounts of energy and time. These techniques are examples of resource burning: verifiable consumption of resources solely to convey information. Can these costs be eliminated? It seems unlikely since resource shares similarities with money burning and costly signaling, which are foundational to game theory, biology, and economics. Can these costs be reduced? Yes, research shows we can significantly lower the asymptotic costs of resource in many different settings. In this paper, we survey the literature on resource burning; take positions based on predictions of how the tool is likely to evolve; and propose several open problems targeted at the theoretical distributed-computing research community.
Genetic Operators Impact on Genetic Algorithms Based Variable Selection

This paper faces the problemVannucci, Marco of variables selection through the use of a genetic algorithm based metaheuristic approach.Colla, Valentina The method is based on the evolution of a population of variables subsets, which is led by the genetic operators determining their selection and improvement through the algorithm generations. The impact of different genetic operators expressly designed for this purpose is assessed through a test campaign.Cateni, Silvia The results show that the use of specific operators can lead to remarkable improvements in terms of selection quality.
Progress of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian

This paper updates the progress made on the PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme. PRINCIPLE focuses on collecting high-quality language resources for Croatian, Icelandic, Irish and Norwegian, which have been identified as low-resource languages, especially for building effective machine translation (MT) systems. We report initial achievements of the project and ongoing activities aimed at promoting the uptake of neural MT for the low-resource languages of the project.
GenDE: A CRF-Based Data Extractor

Web site schema detection and data extraction from the Deep Web have been studied a lot. Although, few researches have focused on the more challenging jobs: wrapper verification or extractor generation. A wrapper verifier would check whether a new page from a site complies with the detected schema, and so the extractor will use the wrapper to get instances of the schema types. If the wrapper failed to work with the new page, a new wrapper/schema would be re-generated by calling an unsupervised wrapper induction system. In this paper, a new data extractor called GenDE is proposed. It verifies the site schema and extracts data from the Web pages using Conditional Random Fields (CRFs). The problem is solved by breaking down an observation sequence (a Web page) into simpler subsequences that will be labeled using CRF. Moreover, the system solves the problem of automatic data extraction from modern JavaScript sites in which data/schema are attached (on the client side) in a JSON format. The experiments show an encouraging result as it outperforms the CSP-based extractor algorithm (95% and 96% of recall and precision, respectively). Moreover, it gives a high performance result when tested on the SWDE benchmark dataset (84.91%).
An ontology-based information retrieval mechanism for E-learning management system

During the last decade, increasing attention has been focused on ontologies and Ontological Engineering. The application of ontological engineering technique to e-learning, though still in its early stage, has become a phenomena tool in the integration and adaptation of a dynamic and flexible elearning environment, where tutors and learners are provided with the functionality of personalizing their learning process, this has not fully considered the generality of an entire field of study. This paper presents an ontology-based framework for classification of the entire courses of computer science at the university level. A model of an e-learning domain in the context of material classification that enables students retrieve information about a particular course in personalized ways was presented the method adopted elicited e-learning knowledge using documented materials, observation, consultation, prototyping among others. With domain expertise developed, the knowledge elicited was analyzed and formally represented using OWL-Description Logic. The design was implemented using Protégé 5.0 editor. The validation for accuracy and completeness was carried out with the domain and ontology experts using consistency checking reasoned, DL-Query. The results of the implementation show that elearning materials can be searched and retrieved easily and timely. The study also established and formalised an effective computational approach for representing information content of educational resources thereby helping to improve the flexibility of content representation in an e-learning system.Keywords: e-learning, Ontological Engineering, Ontology, Ontology Web Language (OWL), Knowledge Management, Description LogicVol. 26, No 1, June 2019
Evidence Weighted Tree Ensembles for Text Classification

Text documents are often mapped to vectors of binary values where 1 indicates the presence of a word and 0 indicates the absence. The vectors are then used to train predictive models. In tree-based ensemble models, predictions from some decision trees may be made purely from absent words. This type of predictions should be trusted less as absent words can be interpreted in multiple ways. In this work, we propose to improve the comprehensibility and accuracy of ensemble models by distinguishing word presence and absence. The presented method weights predictions based on word presence. Experimental results on 35 real text datasets indicate that our method outperforms state-of-the-art ensemble methods on various text classification tasks.