Reviewerly/exHarmony huggingface dataset:
Secure Service Composition with Quantitative Information Flow Evaluation in Mobile Computing Environments

The advances in mobile technologies enable mobile devices to cooperate with each other to perform complex tasks to satisfy users’ composite service requirements. However, data with different sensitivities and heterogeneous systems with diverse security policies pose a great challenge on information flow security during the service composition across multiple mobile devices. The qualitative information flow control mechanism based on non-interference provides a solid security assurance on the propagation of customer’s private data across multiple service participants. However, strict discipline limits the service availability and may cause a high failure rate on service composition. Therefore, we propose a distributed quantitative information flow evaluation approach for service composition across multiple devices in mobile environments. The quantitative approach provides us a more precise way to evaluate the leakage and supports the customized disciplines on information flow security for the diverse requirements of different customers. Considering the limited energy feature on mobile devices, we use a distributed evaluation approach to provide a better balance on consumption on each service participant. Through the experiments and evaluations, the results indicate that our approach can improve the availability of composite service effectively while the security can be ensured.
Effects of Overseas Internship on English Learning

The purpose of this study was to investigate the effects of the self-awareness of Taekwondo majoring student on English learning through an overseas...
Financial Development, Income Inequality and The Role of English Proficiency

The role of English is not only as a language of trade, finance and technology but also become one of the development strategies in 21st century. The motivation of this study is to provide empirical evidence of the relationship between financial development, income gap and English language proficiency. The theory suggests that financial development was seen to reduce the income gap but empirical evidence shows diverse results. Therefore, this study aims to analyse the interaction between financial development and English language proficiency as to test whether the impact of financial development on the income gap is strengthened by the good in English language proficiency on countries or vice versa. This study is based on dynamic panel model with system GMM estimators for 69 countries from 1980-2014. The findings show that the interaction between financial development and English language proficiency is negative and significant. This illustrates that the English language proficiency can stimulate the effect of financial development to reduce the income gap. Meanwhile financial development as well as advances in new knowledge are important factors for economic development. Other factors need to be taken into account to ensure that financial development is beneficial in reducing the imbalance of income distribution.
Basic Ideas of Bayesian Methods

This chapter is devoted to some basic ideas on the Bayesian approach to statistical inference, where the parameter is treated as a random variable, which is assigned a distribution. This distribution – the prior distribution – represents the prior knowledge about the parameter before observing the data. Once the data is observed, the inference about parameter is drawn from the posterior distribution – the conditional distribution of parameter given the data. The term “Bayesian” comes from the well-known Bayes theorem, which is a formula for computing the posterior probabilities.
Implementation of a Cardiac Service Line

Nursing staff in the department recognized a need for additional education to care for cardiac patients. This included cardiac pathophysiology, anesthesia care post-procedure, and interventions performed in the Cath Lab. The Cardiac Service Line was developed through collaboration with bedside nursing staff, leadership, and the cardiac procedural team to meet the educational needs of staff and provide quality care for our cardiac patients and families.
Best-First Width Search for Multi Agent Privacy-Preserving Planning

In multi-agent planning, preserving the agents’ privacy has become an increasingly popular research topic. For preserving the agents’ privacy, agents jointly compute a plan that achieves mutual goals by keeping certain information private to the individual agents. Unfortunately, this can severely restrict the accuracy of the heuristic functions used while searching for solutions. It has been recently shown that, for centralized planning, the performance of goal oriented search can be improved by combining goal oriented search and width-based search. The combination of these techniques has been called best-first width search. In this paper, we investigate the usage of best-first width search in the context of (decentralised) multi-agent privacy-preserving planning, addressing the challenges related to the agents’ privacy and performance. In particular, we show that best-first width search is a very effective approach over several benchmark domains, even when the search is driven by heuristics that roughly estimate the distance from goal states, computed without using the private information of other agents. An experimental study analyses the effectiveness of our techniques and compares them with the state-of-the-art.
Two-Stream Convolutional Neural Networks with Natural Light and Depth Images for Hand Gesture Recognition

Convolutional Neural Networks (CNNs) are applied for hand gesture recognition and achieve desirable performance with homogeneous background scenes, however, there are still challenges for complex human-computer interaction scenes. In this paper, the gesture classification model with Two-Stream Convolutional Neural Networks (Two-Stream CNNs) is proposed. The Two-Stream CNNs structure is built which incorporates both natural light and depth images. And then the fusion features are extracted by convolutional kernels to achieve good performance. Finally, the combination of natural light and depth images is verified to improve the hand gesture recognition accuracy for complex backgrounds. The model is trained and tested on the standard dataset benchmark of American Sign Language (ASL), and experimental results prove that the model can achieve better classification performance on the dataset than the CNNs with single stream. The model improves the classification performance, by 0.9793 F1-score.
Designing and Creating a Mouse Using Nature-Inspired Shapes

Human beings have always made their tools and instruments they need using patterns in nature. Mimicking nature has become the foundation of a new science called Biomimetics. In the present article, multiple forms and levels in nature were utilized to design and create a mouse. The rivers are a good source for choosing the shape of a mouse with lots of stones abraded through the centuries which also have smooth surfaces. In this research, a significant number of stones fitted to hand size were collected and then the best ones were scanned by an optical scanner. The point cloud model obtained was used to design and create the mouse and determine the geometric parameters of the mouse. After extracting the 3D model of the point cloud using a rapid prototyping technique with the Fused Deposition Modeling (FDM) method, some mouse models were designed ambidextrously for left-handed and right-handed people. Considering the results of the mouse evaluation by 30 people who were provided with the mouse, it can be concluded that the created mouse provided a high rate of satisfaction.
On Entropy in Pattern Mining

In this paper we consider different entropy-based approaches to Pattern Mining. We discuss how entropy on pattern sets can be defined and how it can be incorporated into different stages of mining, from computing candidates to interesting patterns to assessing quality of pattern sets.
Copyright holders call for unlawful downloading regime to cover 4G networks – e-traces

Software and entertainment firms have called on Ofcom to expand the scope of a forthcoming anti-piracy regime to cover mobile operators, over fears that superfast 4G broadband networks will lead…
Pengaruh Intensitas Bermain Video Game Online PUBG Dan Motivasi Untuk Mengikuti Kuliah Terhadap Prestasi Akademik Mahasiswa Di Kampus

Based on data obtained from the UNDIP technical dean related to the list of IP and IPK of 2016 Undip Engineering’s students, of which from 743 students in several departments, there were still 181 students or 24.35% who still got a GPA below 2.75 (standard try trying 2). High intensity in online games can give negative results to student academic achievement. However, motivation is one of the factors needed to support academic achievement. This study aims to determine whether there is an intensity of influence on playing PUBG online video games and the motivation to attend classes on student academic achievement on campus by using the concept of Internet Addiction and Two Factor Motivation Theory. The sampling technique uses nonprobability sampling which is done by purposive sampling with a total sample of 50 people with the criteria of undip engineering students of 2016 who play PUBG online video games. This test is carried out using a Simple Linear Regression Test. The results of this study indicate that there is a significant negative effect on the intensity of playing PUBG online video games on student academic achievement that is equal to 11.2%. The remaining 88.8% is influenced by other factors not examined in this study. Whic is the Correlation between variables is 0.017. This shows that the intensity of playing PUBG online video games affects student academic achievement on campus. That the higher the intensity in playing PUBG online video games, the lower the academic achievement of students on campus. The results of this study also showed that there was a very significant effect of motivation to attend college on student academic achievement on campus by 21.6%. The remaining 78.4% is influenced by other factors that not examined in this study. Correlation between variables shows significance is 0.001. This shows that there is a very significant effect on the intensity of playing PUBG online video games to student academic achievement campus. So, the higher the motivation in attend lectures, the higher the academic achievement. For further research, it is expected to be able to multiply more about other factors beyond the factors studied which can affect student academic achievement.
Modal and Substructural Logics

In this section, we will give a brief introduction to proof theory for two important branches of nonclassical logics, that is, modal logics and substructural logics. They are important because both of them include vast varieties of logics that have been actively studied.
3D Human Pose Estimation under limited supervision using Metric Learning.

The best performing methods for 3D human pose estimation from monocular images require large amounts of in-the-wild 2D and controlled 3D pose annotated datasets which are costly and require sophisticated systems to acquire. To reduce this annotation dependency, we propose Multiview-Consistent Semi Supervised Learning (MCSS) framework that utilizes similarity in pose information from unannotated, uncalibrated but synchronized multi-view videos of human motions as additional weak supervision signal to guide 3D human pose regression. Our framework applies hard-negative mining based on temporal relations in multi-view videos to arrive at a multi-view consistent pose embedding. When jointly trained with limited 3D pose annotations, our approach improves the baseline by 25% and state-of-the-art by 8.7%, whilst using substantially smaller networks. Lastly, but importantly, we demonstrate the advantages of the learned embedding and establish view-invariant pose retrieval benchmarks on two popular, publicly available multi-view human pose datasets, Human 3.6M and MPI-INF-3DHP, to facilitate future research.
Optimised DBN for effective enhancement of ultrasound images with pelvic lesions

Nowadays, the ultrasound modality is the current research areas for lesion analysis. Hence, this paper adopts an optimised deep belief neural (ODBN) network for enhancing the US image of pelvic portions. It considers the higher order and lower order statistical characteristics of the image to define the appropriate filter band for image enhancement. To optimise the lower order features, an advanced optimisation search algorithm named grey wolf optimiser algorithm (GWO) is exploited. The ODBN learns the optimised features and the noise characteristics for precise prediction of the filter bands, which enhance the image substantially over the conventional filter bands. The performance of the proposed method is compared with the conventional methods using the benchmark and real-time US images of pelvic lesions. The quality of enhancement is ensured using renowned measures namely PSNR and ESSIM that exhibit the performance of the proposed approach.
A Fast Hyperbolic Radon Transform Algorithm Using Deep Neural Network

Summary Hyperbolic Radon transform being a time variant transform requires implementation in the time domain which is computationally expensive. To address this problem, we propose to use deep neural network for computing the velocity transform. The basic idea is to compute the inverse of Hessian using the Generative Adversarial network (GAN) for training data sets which can then be applied to the adjoint transform for test data sets to obtain a least-squares solution. This approach gives results similar to the least-squares inversion at a significantly reduced cost. Proposed algorithm is computationally efficient and cost effective as compared to the conventional time domain computation of the Hyperbolic Radon transform. Field data example verifies the effectiveness of the proposed approach.
Generic Structural Features of Requestive Academic Emails

The aim of the present study is to analyze the generic structural features of requestive academic emails.For this purpose, 182 emails written by 81 Tunisian postgraduate students to their professor were analysed.The collected academic email messages share a main communicative function which is requesting.This study drew on the framework of genre analysis and employed the pattern of move schemata proposed by Swales (1990) and follows the typology suggested by Guffey (2010).The gathered emails are made up of the email's subject line, an opening, body text and closing.The findings revealed that more than half of the subject lines of emails are either inappropriate, improper or do not exist.This shows that the participants are to some extent not able to write proper subject lines when addressing their professor however they did appear to pay attention to greetings in their emails.By examining the structure of the body of the gathered emails, it is noticed that postgraduate students tended to use the inductive style when emailing their professor.They do not go straight to the request.Instead, they go through some strategies (introduction, self-identification, apologizing, or reminding remarks, pre-request and request).The findings revealed that more than half of the emails either do not display perfect closings or do not display closings while the remaining emails are considered acceptable since they contain both greeting and the sender's name.Accordingly, this study suggests some useful pedagogical implications.Tunisian EFL learners need to be supplemented with explicit instruction regarding teaching pragmatic issues concerning writing emails.The use of authentic materials in the context of pragmatics instruction is highly recommended Another practical method is to introduce and teach email writing guidelines and etiquettes so that Tunisian students can readily refer to them when writing emails.
On How to Build a Curriculum of an e-Business Master Course

The Business School of the Polytechnic of Porto, Portugal aiming at following the demands of the region decided to make available a master’s degree program in e-business. This paper describes the study held ascertain the most relevant skills to be considered in the master program. In order to obtain relevant feedback, an interview was conducted to professionals working in the field. Also, a questionnaire was applied to the students attending the last year of undergraduate after working programs, since they have already professional experience in related fields. The most relevant skills were identified, and curriculum was defined for the master’s degree according to the analysis of the results of these activities.
Advances in Neuromorphic Silicon Photonics

Neuromorphic photonics is an emerging field at the nexus of photonics andneuroscience, which combines the advantages of optics and electronics. We will look at challenges of photonic information processing, describe photonic neural-network approaches, and offer a glimpse at this field's future.
La negazione in swahili. Un viaggio nel labirinto della grammatica

Verbal negation in Kiswahili. A journey in the labyrinth of grammar. This work presents a description of negation in Kiswahili. After a short exposition of the morphological patterns of negation in Kiswahili, explained in the frame of the Proto-Bantu reconstruction, an analysis of possible grammaticalization paths will be attempted in order to explain: 1) the formal identity of the post-initial negation morpheme, of the negative copula and of the first person agreement marker of pre-initial negation (si); 2) the presence of a double paradigm of conditional; 3) the negative future morpheme -toin the Zanzibar variety of Kiswahili. KEYWORDS: Negation, verbal morphology, Kiswahili, Bantu languages, grammaticalization
Perceptions on Korea as presented in Canadian Social Studies Textbooks for Secondary School Students

본 연구에서는 캐나다 중등학교의 사회과 교과서 내 한국 관련 내용 분석을 통해 캐나다의 한국에 대한 인식을 고찰하였다. 캐나다 사회과 교육과정 및 교과서의 목차 구성을 살펴보고, 각 교과서 내 한국 관련 내용을 ① 타 국가와 비교한 서술 분량 ② 주제의 다양성 ③ 최신 정보의 반영 여부의 세 가지 기준에 따라 분석하였다. 분석 결과, 사회과 교육과정 구성 상 9학년~12학년 대상 ‘캐나다 및 세계연구(Canadian and World studies)’ 교과과정에서 캐나다 관련 내용을 다루거나, 세계적인 이슈와 상호작용을 다루는 맥락에서 한국이 나타나는 경향을 보였다. 구체적으로 세 가지 기준에 따른 분석 결과는 다음과 같다. 첫째, 한국 관련 서술 분량은 동아시아 국가들인 중국, 일본과 비교했을 때 비슷하거나 약간 적은 정도로 나타났으며, 둘째, 한국은 주로 역사, 경제 분야에서 다뤄지며, 주제는 ‘한국전쟁’과 ‘경제 선진국’으로 한정되어있음을 확인할 수 있었다. 셋째, 대부분의 교과서들은 교과서 출판년도 기준, 한국 관련 최신 자료와 정보들을 수록하고 있었다.The purpose of this study is to examine the perception on Korea presented in Canadian social studies textbooks for secondary school students. In order to analyze Korea-related contents in the Canadian textbooks, Canadian social studies curriculum and the textbooks’ table of the contents are reviewed and Korea-related contents are analyzed by three criteria, ① Quantity compared with other countries ② Diversity of the topics ③ The latest information. The results of this analysis are as follows: Korea is presented in the subject, ‘Canadian and World Studies’ in social studies curriculum for grades 9 - 12 and presented with the canadian-related issues and the global issues and interaction. As for the analysis by three criteria, first, the quantity of Korea-related contents is similar or slightly less that of China and Japan. Second, Korea is mainly presented in areas such as history and economics, and the topics are limited to Korean War and Economically Developed Country . Third, most textbooks include updated Korean materials and information based on the textbook publication year.
APPLYING THINK-PAIR-SHARE STRATEGY TO IMPROVE THE STUDENTS’ ACHIEVEMENT IN UNDERSTANDING READING MATERIALS

Comprehending reading material started from understanding the topic and finding the details of information of the text. Therefore, applying an interesting strategy is needed to improve the students’ ability to comprehend the reading material. Thus, this article is discussed about the effect of applying the TPS (Think-Pair-Share) Strategy on the students’ ability in understanding topic in reading materials that was conducted at SMP Rahmat Islamiyah, Jalan Bakti Gaperta Ujung Sumatera Utara in 2018 . The population of this research was the VIII th grade students which distributed into 4 classes consist s of 154 students. This is an experimental quantitative research. By using random sampling technique, 60 students were taken as the sample. The sample was devided into 2 classes, the experimental group which consisted of 30 students taught by using TPS (Think-Pair-Share) Strategy and control group consisted of 3 0 students by using lecturing method. The instrument used in this research was multiple choices with 25 questions. The data were analyzed by using t-test formula. The result showed that tcount was > ttabel (0.153 > 2.262) or Ha is accepted and Ho is rejected. The hypothesis was accepted. It implies that the applicates of Think-Pair-Share Strategic significantly effect to the students’ ability in reading materials . Keywords : Think pair share strategy, Reading, Students’ achievement.
Lunar Image Matching Based on FAST Features with Adaptive Threshold

The contrast of lunar images is low, and few features can be extracted. Therefore, lunar images can be hardly matched with high accuracy. A lunar image matching method based on features from accelerated segment test (FAST) feature and speeded-up robust features (SURFs) descriptor is presented. First, entropy of image is adopted to automatically compute threshold for extracting FAST features. Second, SURF descriptors are used to describe candidate features, and then initial matches with nearest neighborhood strategy are obtained. Third, outliers are rejected from initial matches by RANSAC-based model estimation strategy and homography constraint. Experimental results show that the proposed method can get enough image correspondences and the matching errors are less than 0.2 pixels. It indicates that the proposed method can automatically achieve high-accuracy lunar image matching and lay good foundation for subsequent lunar image stitching and fusion.
ANIMASI INTERAKTIF UNTUK MENINGKATKAN KEMAMPUAN MEMBACA SISWA PADA TK AL ANHAR BOJONG GEDE JAWA BARAT

Developing reading skills from an early age ( kindergarten ) is very important in a child's life , including the preparation of subsequent children entering further education . With the expected reading ability of children to new vocabulary and can read well will thus be able to socialize well and can develop creative thinking in children .There are some things that need to be considered in determining the learning methods to motivate students to learn effectively and learning resources needed fun or interesting props and fun . The selection of instructional media using interactive animation media ( multimedia ) that contains moving pictures , sound and text, is one of the alternative media that can be used as a learning tool in the learning study aids Siwa . In this study the authors tried to make Applications Improve Student Reading Ability . Implementation and validation results showed that the application has been made fit for use as learning to improve reading skills . The use of interactive media such as computer -aided simulation and is able to provide immediate feedback so that potentially attract attention and motivate children to learn .
NCHLT Sepedi Auxiliary Speech Corpus

The corpus contains orthographically transcribed broadband speech in each of South Africa's eleven official languages. Transcriptions are provided in XML format.