Reviewerly/exHarmony huggingface dataset:
Effect Of Work-Life Balance On Performance: An Empirical Study Of Jordanian And Indian Hospitals

The present study on work-life balance and employee performance among Jordanian and Indian nurses could aid entrepreneurs’ in a medical setting to gain relevant knowledge on work-life programs, enabling them to evaluate their policies and programs based on this information, recognize strategies to expand organizational policies, and potentially influence policy standards of the industry. The results of this study could contribute to bringing awareness adjacent to the issue of employees’ job performance and satisfaction. Additionally, the results from this study could benefit the public by extending the knowledge of how work-life balance policies and programs contribute to improving work and personal relationships, work motivation, and career decisions. These benefits may also positively contribute to business practice by offering organizations in different industries ways in which they approach the development, implementation, and utilization of work-life balance policies and programs to promote supportive managerial attitudes towards family-friendly policies and programs. Publishing the results of this study may inform organizational leaders and business professionals of the potential contributions that work-life balance programs can have on employee performance, with the potential to position organizational leaders and business professionals to better provision work-life responsibilities. Most important, the findings from the study might provide further insights that could be instrumental in assessing job effectiveness among organizational workers and reducing employee absenteeism and turnover.
STUDENT’S PERCEPTION ON THE USE OF YOUTUBE AS A LEARNING MEDIA TO IMPROVE THEIR SPEAKING SKILL

Abstract:  The objective of this research was to investigate the perception of students of English speaking class on using Youtube toward their achievement in speaking skill. The subject of the research was students of English department of Bengkulu University who took Speaking 2 class with 40 students in total. Questionnaire and short interview  were used as the way to collect the data. The questionnaire then, was analyzed by using Likert scale while interview data was used to discover new facts/phenomena from the study. The finding generally shows that 1) students consider that the Youtube can help their speaking skill becoming much better.2)  The use of Youtube in speaking class also can trigger them to be much confident to speak English in front of camera and public. 3) Feedbacks/comments coming from other students on the Youtube were useful to improve their speaking skill and video’s quality as well. It can be concluded that the  use of Youtube as a learning media in speaking class can help students to improve their speaking skill. Keywords: Perception, Youtube, speaking skill
중학교 자유학년제 활용을 위한 과학기반 융합교육(STEAM) 프로그램에 따른 효과 분석

The study is to develop the science-based STEAM program for the free-year curriculum in middle school and then to implement and investigate the effectiveness of the program in the attitude towards science, STEAM literacy and the interest of career in STEM fields. The STEAM program was developed based on the topics in chemistry and biology related with the curriculum of elementary and middle school science. The program developed was implemented for the 59 students in middle school where is located in Yong-in city of Gyeonggi province for eight weeks. The pre-post test of survey about the attitude towards science, STEAM literacy, and the interest of career in STEM fields were conducted for the students to analyze the results of survey with SPSS statistic program. The results are followed. First, the middle school students’ attitude towards science was not changed significantly with the science-based STEAM program. Second, the program was effective for the domain of caring in STEAM literacies in statistically significant(p<0.01). Third, the program was also effective significantly in improving for the interest of career in science area among STEM fields(p<0.05). Thus, the science-based STEAM program was developed and implemented effectively to improve the students’ caring domain in STEAM literacies and their interest in science’ career during the free-year curriculum of middle school.
An Algorithm for Prediction of Web User Navigation Pattern and Restructuring of Web Structure Based on Visitor’s Web Access Pattern

The automatic discovery of user navigation pattern can be done by web usage mining. The web logs which are created on daily basis at the time web pages access by various user. The paper presents restructuring of web contents according to the user preference and pattern. The proposed algorithm suggests optimal path for users by considering eye tracking and mouse movement. The path suggests by the proposed algorithm considers only the true users those who are physically present and suggests a optimal path as per the logs recorded.
Graph-Based Distance Measure for Clustering Categorical Data with Nonlinear Patterns

Purpose: The purpose of this study is to suggest a more efficient distance measure taking into account the patterns of data for clustering categorical dataBRMethods: The proposed categorical geodesic distance is calculated with three main steps: (1) The first step measures the Gower distance between two observations composed of categorical variables. (2) The second step is to represent the data as a mutual k-nearest neighbor graph. (3) The final step calculates the distance between two observations with the shortest path in the graph. The distance obtained from (3) is utilized for clustering categorical data. In particular, our proposed method is suitable for data with nonlinear patterns.BRResults: Our experimental results using several real-life datasets reveal that the categorical data also has implicit topological structures and confirm that the distance considering implicit data patterns generally yields better clustering performance than existing Gower distance measure.BRConclusion: This study revealed that the adoption of the data patterns using our proposed distance measure positively affected the results of cluster analysis.
A performance evaluation of transform domain algorithm in watermarking based on different levels of sub-bands of discrete wavelet transform

This study proposed to evaluate the performance of transform domain algorithms in watermarking based on different level of sub bands of discrete wavelet transform (DWT) that can be used to overcome illegal copy, manipulation, distribution and reproduction of image on the network by implementing watermarking algorithm based on different levels that is low-level (LL), low- high (LH), high-low (HL), High-high (HH) and singular value decomposition (SVD) on image for their robustness, and imperceptibility. Moreover, two parameters were applied to evaluate the performance. That is, peak signal to noise ratio (PSNR) is used to measure imperceptibility of the digital image while normalize cross correlation (NCC) is applied to measure the robustness of digital image. The performance evaluations of the proposed method were implemented in MATLAB. The results showed that the described method imperceptible of HL level sub-bands than other levels of sub-bands. While the robustness is achieved by all levels sub-bands.
A Study on the Discourse Structure and Expression of Politeness in Japanese Business E-mail

In this study, the analysis subjects were E-mails that only Japanese people wrote among those between Korean and Japanese who were working in the iron and steel industry such as automobiles. Those E-mail data were prepared from 2015 to 2017, which was totally 532 E-mails. Recipients and senders could be inferred not to affect the progression of conversation significantly whether the relations were internal or external in case of the established business relationship. To consider others, it strongly tended to mention the formalized greeting expression simple.BR The progression structure of E-mail conversation was reviewed by whether the sender and recipient’s mentioning were present, and whether the consideration strategy to the others before and after suggestion of main topics was present. Upon the results, the structure of ‘recipient-greeting-main topic-closing’ was dominant with 47.4% followed by ‘recipient-greeting-main topic’ with 21.6% which was ended with explanation of main topic without closing. Over 10% E-mail showed simple delivery of main topic.BR With respect to the initiation level strategy, firstly, formalized greeting expressions and its types were reviewed for consideration of others at the opening and closing parts of E-mail. In the opening part, 70% of total E-mails used formalized greeting expression with 9 different types. In the closing part, 54% used closing greeting. They were classified as ‘maintaining relationship,’ ‘related to main topic,’ and ‘consideration of others’.
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion

In this paper, we present a novel algorithm that combines multi-context term embeddings using a neural classifier and we test this approach on the use case of corpus-based term set expansion. In addition, we present a novel and unique dataset for intrinsic evaluation of corpus-based term set expansion algorithms. We show that, over this dataset, our algorithm provides up to 5 mean average precision points over the best baseline.
Section 8.0: Public Statements

Behavior analysts maintain high standards of ethics when representing the field on public statements. In this chapter, we will review the requirements for ethical practice in public statements according to the Professional and Ethical Compliance Code, including responsibilities of maintaining ethical marketing practices. A discussion of each Code element includes an explanation, examinations of the considerations of complying with the Code element, and examples from the field. In this chapter, Mary Jane Weiss and Samantha Russo offer insights into ethical use of social media.
Revisiting PQ4R and CSR for Teaching Reading Skills for Adolescents

&lt;p&gt;&lt;em&gt;The developing technonolgy brings the teenagers to the world interaction without boundary. Teenagers, or adolescents, are demanded to be able to master English. Thus, teaching and learning reading skills has become one essential factor to help them to master English. &lt;/em&gt;&lt;em&gt;The aims of this research are to find out the effectiveness of PQ4R and Collaborative Strategic Reading on students’ reading skill development&lt;/em&gt;&lt;em&gt; for adolescents&lt;/em&gt;&lt;em&gt;; (2) to find out the most effective technique for teaching reading skill&lt;/em&gt;&lt;em&gt; for adolescents&lt;/em&gt;&lt;em&gt;. This study was a quasi-experimental research with two experimental groups&lt;/em&gt;&lt;em&gt; and one control group&lt;/em&gt;&lt;em&gt;. &lt;/em&gt;&lt;em&gt;The&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;three variables &lt;/em&gt;&lt;em&gt;used were&lt;/em&gt;&lt;em&gt; PQ4R, Collaborative Strategic Reading (CSR), and Conventional techniques. The &lt;/em&gt;&lt;em&gt;sample&lt;/em&gt;&lt;em&gt; of this study were grade &lt;/em&gt;&lt;em&gt;X Science 1, X Social 1 and X Social 2&lt;/em&gt;&lt;em&gt; who had homogenous reading level who were selected by using Cluster Random Sampling. &lt;/em&gt;&lt;em&gt;The &lt;/em&gt;&lt;em&gt;quantitative data were collected by using pretest and posttest to assess the reading comprehension. The result indicated that there was a difference in the students’ reading achievement given different treatment. Students taught using PQ4R had an improvement from 61.75 to 71.63 while students taught using CSR had improvement from 63.32 to 75.50. Students taught using conventional technique also indicated improvement from 62.5 to 68.38. The most effective technique was CSR compared to PQ4R and Conventional techniques. The improvement of students’ reading skill development reach &lt;/em&gt;&lt;em&gt;15&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;em&gt;9% &lt;/em&gt;&lt;em&gt;while the improvement using PQ4R was &lt;/em&gt;&lt;em&gt;19&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;em&gt;25%&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;9&lt;/em&gt;&lt;em&gt; and using conventional technique was 9.&lt;/em&gt;&lt;em&gt;28%&lt;/em&gt;&lt;em&gt;. Therefore, it can be concluded that CSR was the most effective technique &lt;/em&gt;&lt;em&gt;for teaching reading skills for adolescents &lt;/em&gt;&lt;em&gt;compared to PQ4R and &lt;/em&gt;&lt;em&gt;conventional techniques&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;em&gt;&lt;/em&gt;
Models of Type Theory Based on Moore Paths

This paper introduces a new family of models of intensional Martin-L\of typetheory. We use constructive ordered algebra in toposes. Identity types in themodels are given by a notion of Moore path. By considering a particular grostopos, we show that there is such a model that is non-truncated, i.e. containsnon-trivial structure at all dimensions. In other words, in this model a typein a nested sequence of identity types can contain more than one element, nomatter how great the degree of nesting. Although inspired by existingnon-truncated models of type theory based on simplicial and cubical sets, thenotion of model presented here is notable for avoiding any form of Kan fillingcondition in the semantics of types.
Tailoring the operational mineralogy toolkit to the needs of the mine site

"Tailoring the operational mineralogy toolkit to the needs of the mine site." Applied Earth Science, 128(2), p. 65
EVALUATION OF TEACHING STRATEGIES FOR CRITICAL THINKING DEVELOPMENT IN THE SUBJECT OF TECHNOLOGY

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 890-895ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0287Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
2019 Principles of Distributed Computing Doctoral Dissertation Award

The winner of the 2019 Principles of Distributed Computing Doctoral Dissertation Award is Dr. Sepehr Assadi for his dissertation Combinatorial Optimization on Massive Datasets: Streaming, Distributed, and Massively Parallel Computation, written under the supervision of Prof. Sanjeev Khanna at the University of Pennsylvania.
Research Guides: IDS 403 Technology: Technology in the Humanities

Course guide developed specifically for IDS 403 to help support the research and learning processes.
ARTIFACT-CENTRIC SEMANTIC SOCIAL-COLLABORATIVE NETWORK IN AN ONLINE HEALTHCARE CONTEXT

The emergence of Web 2.0 technology and associated social networking system, brings many possibilities and features for online collaboration.Several reference models, frameworks, tools and infrastructures have been proposed to support seamless interaction and communication between human entities in an online social environment.A few studies indicated that social networks are not only constructed on social connections of people, but also mediated by shared objects, known as object-centred sociality.However, most of the developed social software system was centred around the concept of maintaining human-centric social relationships only.This may be because of the common issues of exploiting social network approach for online collaboration related to maintaining the social behaviour, interaction and communication between human and artifacts themselves.These resources or artifacts (i.e., physical objects, software entities, documents, etc.) are active elements in a way that they may coordinate, cooperate, and even trigger collaborative work in a social environment, which is difficult understand and implement.Thus, it is essential to concentrate on exploring the artifact-centric social relations in a new generation of social-collaboration network.This paper explores the concept and characteristics of the social software system and emphasise the importance and role of objects and artifact-centric sociality in a social-collaboration network.We also outline the benefits of semantic representation of social-collaborative network structure by extending existing social ontologies such as FOAF, SIOC, and DC that define additional concepts, properties and complex social relationship of humans, social objects and collaboration artifacts.Finally, we demonstrate the effectiveness of our proposed approach by applying it to a large-scale social-collaborative healthcare service called GRaCE-AGE within the United Kingdom.
Interlocking worlds: A 2035 envisioned concept for Volkswagen Escapism Mobility

This thesis is the documentation of a design proposal for a 2035 envisioned concept for Volkswagen Escapism mobility that responds to a rapidly changing mobility demand. The rapidly growing population is changing the urban landscape and how we move around in our cities. Technological developments are giving us more control over smart systems and create new interactions with our surroundings. In regulated urban systems, the desire for freedom that is deeply rooted in our human character is becoming increasingly more difficult to satisfy. Problem In 2015, the automotive industry witnessed the hard consequences of the Dieselgate. Nowadays, Volkswagen still suffers from the scandal, as it influences the brand image negatively. Although the brand is building a fully electric identity, Americans still relate to the Dieselgate when they talk about Volkswagen. The people’s opinion of Volkswagen used to be shaped by the iconic models of the past but is now overruled by negativity. In order to enlarge the American market share, Volkswagen should design an eye-catching mobility concept in order to re-establish the brand image. Vision The American Volkswagen driver is someone who irrationally chose to drive a Volkswagen in search for emotional connections with the product. These people will feel uncomfortable in the future which will be shaped through the strive for efficiency. They feel more related to the other side of the future, one that focuses on escaping the daily life and experience memorable moments. In order to re-attract the American Volkswagen driver, the portfolio should offer a product that bridges both worlds, a product that is pushing them to take the risk while feeling trusted going out of their comfort zone. Design The design proposal, named Volkswagen Valor, was developed in corporation with Volkswagen’s design studio in Wolfsburg. It is a 3-person vehicle that offers two configurations. Each configuration is tailored perfectly to the desired interaction, both in the future world of efficiency as in the world of escaping. Valor provides the smooth transition between both worlds and offers several features that give the passengers a memorable experience. Valor is a fresh looking concept with a silhouette that will become iconic in the future. The design language is showing the risk-taking character while breathing the confidence of trustworthiness, embodied by a future interpretation of Volkswagen’s American design language. Evaluation Valor was evaluated by professional car designers working in the Wolfsburg studio. The proposal was reviewed as provoking and interesting. The goal of creating something fresh and unique in order to become iconic in the future, responded perfectly to the evaluation of the proposal. It was evaluated that the vehicle responds logically to the problem and fits well in the envisioned future.
Visible Evidence XXV Conference Report

This contribution broadly summarizes the Visible Evidence XXV conference held at Indiana University, August 2018.  Some individual presentations are summarized in detail, but the report mostly aims to give readers a broad sense of the conference's content, scope, and aims.
COMPETITION BASED LEARNING APPLIED IN COMPUTER SCIENCE TEACHING: ALTERNATIVE OR COMPLEMENTARY?

1 Private University of Fez (MOROCCO)2 Abdelmalek essaadi University (MOROCCO)3 Hamad Bin Khalifa University (QATAR)
Recommendation algorithms for unstructured big data such as text, audio, image and video

In recent times, the recommender system (RS) has played a significant role in assisting users in selecting the ideal product from a huge amount of data. The gradually increasing amount of customers, services and online information due to yielding the large data analysis can be a problem for service RSs. Approaches which are greatly successful cover a wide variety of recommendation tasks such as video, music, image, books. The recommendation algorithms require a variety of parameters to propose suggestions for new users, and this is where limitations and challenges of the RSs emerge. Recommendation algorithms for unstructured big data and their challenges are discussed in this chapter.
Quantum Simulation and Optimization in Hot Quantum Networks

We propose a setup based on (solid-state) qubits coupled to a common multimode transmission line, which allows for coherent spin-spin interactions over macroscopic on-chip distances, without any ground-state cooling requirements for the data bus. Our approach allows for the realization of fast deterministic nonlocal quantum gates, the simulation of quantum spin models with engineered (long-range) interactions, and provides a flexible architecture for the implementation of quantum approximate optimization algorithms.
Random Forests Based Image Colorization

The task of image colorization, i.e. assigninging color values to grayscale images, is usually addressed by either exploiting explicit user input or very large training data sets. In contrast, the proposed method is fully automatic and uses several orders of magnitude less training images. To this aim, a Random Forest is tailored to the task of regressing plausible color value given a patch of the grayscale image. In order to improve the colorization performance, the Random Forests also includes a simple position prior. The proposed approach leads to satisfying results over various colorization tasks and compares favorably with the state of the art based on convolutional networks.
Insider threat modeling: An adversarial risk analysis approach

Insider threats entail major security issues in geopolitics, cyber risk management and business organization. The game theoretic models proposed so far do not take into account some important factors such as the organisational culture and whether the attacker was detected or not. They also fail to model the defensive mechanisms already put in place by an organisation to mitigate an insider attack. We propose two new models which incorporate these settings and hence are more realistic. %Most earlier work in the field has focused on %standard game theoretic approaches to find the solutions. We use the adversarial risk analysis (ARA) approach to find the solution to our models. ARA does not assume common knowledge and solves the problem from the point of view of one of the players, taking into account their knowledge and uncertainties regarding the choices available to them, to their adversaries, the possible outcomes, their utilities and their opponents' utilities. Our models and the ARA solutions are general and can be applied to most insider threat scenarios. A data security example illustrates the discussion.
PEDAGOGICAL ETHICS FOR THE FORMATION OF HAPPY STUDENTS

1 College of Education and Human Development, Western Michigan University (UNITED STATES)2 Ivan Franko National University of Lviv (UKRAINE)
Human-Competitive awards 2018

The GECCO 2018 conference in Kyoto, Japan hosted the 15th annual "Humies" Awards. The first annual "Humies" competition was held at the 2004 Genetic and Evolutionary Computation Conference (GECCO-2004) in Seattle (USA). With its generous prize money (provided by John Koza) it has become a staple of the Genetic and Evolutioary Computing calendar. The Humies offer the opportunity to the EC community to showcase its best work, work, which by definition, is better than human.