Miracle-dz/UniFAR-FTUs huggingface dataset:
Meaningfulness is in the eye of the reader: eye-tracking insights of L2 learners reading e-books and their pedagogical implications

ABSTRACT This study employed eye-tracking technology to probe the online reading behavior of 52 advanced L2 English learners. These participants read an e-book containing six types of multimedia supports for either vocabulary acquisition or comprehension. The six supports consisted of three micro-level supports that provided information about specific words (glosses, vocabulary focus, and footnotes), and three macro-level supports that provided global or background information (illustrations, infographics, and photos). The participants read the ebook under two presentation modes: (1) simultaneous mode: where digital input and supports were presented at the same time; and (2) sequential mode: where the digital content and supports were incrementally presented. Analyses showed that when reading for vocabulary acquisition, vocabulary focus and glosses were significantly fixated on, and when reading for comprehension, illustrations were more intensely fixated on. Additionally, when the digital content was incrementally presented, vocabulary focus received significantly higher total fixation duration. This suggests that reading under the sequential mode has the potency to guide L2 learners’ focal attention toward micro-level supports. In contrast, under the simultaneous presentation mode, L2 learners seemed to divide their focal attention among both micro-level and macro-level supports. Pedagogical implications are discussed based on the findings of this study.
Spectrum Management in Cognitive Radio Networks

One of the important point in cognitive radios is how those radios are going to be managed either externally or internally. Here is the solution one of the primary technique of spectrum allocation are used and implemented by MATLAB code simulation with full code details inside this thesis. In addition there is a proof of the FCC results about primary users usage of the spectrum which is 70% of the spectrum are unused, so for maximum utilization we are developed a management technique that can increase the utilization of the spectrum.
An improved neural network algorithm for acceleration sensor to recognize human posture

Abstract The computational complexity of traditional human body recognition algorithm is higher, and the recognition effect is poor. Therefore, in this paper, an improved neural network algorithm for acceleration sensor too recognize human posture is proposed. First of all, the sliding window method is used for human posture segmentation; then, a neuron model for acceleration sensor to recognize human posture is established; finally, the pooling layer is introduced to improve the convolution neural network to prevent overfitting during recognition. Experimental results show that the proposed algorithm can improve the recognition rate and computational complexity, and has better recognition results.
Strategic Asset Allocation for Life Insurers with Stochastic Liability

The problem of strategic asset allocation and product mix choice of a life insurancecompany is considered where account is taken of the stochastic risk associated with both assets and liabilities. Using the methods of stochastic dynamic programming we derive equations for optimal weights of both risky and riskless assets under continuous time. The resulting equations can be solved exactly for some parameter values and utility functions. Â When this is not possible a general perturbation expansion method is set up for which explicit solutions are derived for the first terms but the method can be generalized to any order in the expansion parameter.
WHAT FOSTERS FIRM-LEVEL LABOUR PRODUCTIVITY IN EASTERN EUROPEAN AND CENTRAL ASIAN COUNTRIES?

This study examines labour productivity performance and its determinants in Eastern European and Central Asian (EECA) firms using micro-level data. We find significant differences in labour productivity among members of the European Union in Eastern Europe and other Eastern European and Central Asian countries. We also confirm the important impact of foreign ownership, exporter status, and highly skilled workers on productivity levels. However, we reveal a non-linear relationship between firm age and their labour productivity. Additionally, significant differences in labour productivity determinants between the services and manufacturing are found. The productivity of service firms, unlike manufacturing firms, is much more sensitive to changes in productivity factors.
Interrelationships between Viral Marketing and Purchase Intention via Customer-Based Brand Equity

The advent of the Internet has presented several challenges as well as opportunities for marketers. Marketers have found more innovative methods of communicating effectively with their target market, and viral marketing is one of these methods. This study tries to explore interrelationships between viral marketing and purchase intention via customer-based brand equity. The empirical results reveal that viral marketing is made up of interesting, useful and informative subjects; message interaction; message reception; and offensive content, in which each had differing effects on customer-based brand equity and purchase intention. Additionally, we also find that the interaction with viral marketing messages is extremely important in order to positively influence either brand equity or purchase intentions, because mere message reception have detrimental effects on brand equity and purchase intention. Furthermore, by including brand equity as a mediator, the negative effect of message reception on consumer purchase intentions can be transformed into a positive effect.
CONTINUOUS USE INTENTION OF MOBILE PAYMENT - COMPARISON OF ALIPAY ND WECHAT PAY

This study investigates consumers’ continuous use intention of mobile payment services, Alipay and WeChat Pay. Alipay is based on a platform for financial services from its inception, while WeChat Pay is based on a social media platform with the financial service. The result shows that trust and facilitating conditions affect the intention of continuous use of Alipay, and perceived ease of use and social influence affect the continuous use of WeChat Pay. The result indicates the differences in the factors that constitute consumers’ acceptance and continuous use intention of mobile payment services based on different platforms.
Stationary solutions of semilinear Schrödinger equations with trapping potentials in supercritical dimensions

Nonlinear Schr\"odinger equations are usually investigated with the use of the variational methods that are limited to energy-subcritical dimensions. Here we present the approach based on the shooting method that can give the proof of existence of the ground states in critical and supercritical cases. We formulate the assumptions on the system that are sufficient for this method to work. As examples, we consider Schr\"odinger-Newton and Gross-Pitaevskii equations with harmonic potentials.
Consumers’ perception of vitamin D and fortified foods

Purpose As natural dietary sources of vitamin D are not consumed in sufficient quantities, fortified foods could play a role in maintaining vitamin D sufficiency. With public consultation, an integral part of designing acceptable fortification strategies, the purpose of this paper is to understand public awareness and perception of vitamin D fortified foods. Design/methodology/approach A mixed-methods approach was taken with two focus groups and 109 surveys conducted using a non-probability sample from North-East England. Thematic analysis of focus group data identified six themes, with factor and cluster analysis identifying seven factors and four clusters, respectively, which highlighted differences in vitamin D knowledge and fortified food perceptions. Findings Despite identifying sunlight as the main vitamin D source (91 per cent), participants were less aware of the main dietary source (33 per cent), and few could state fortified products (51 per cent). Although attitudes towards fortification were generally favourable (63 per cent agreeing that selected products should be fortified), nearly half (43 per cent) were unsure if more products should be made available. Results suggest that more natural products to complement existing market offerings would be most preferred. Factor and cluster analysis results identified awareness of health benefits and/or dietary sources as essential to have favourable attitudes towards fortified products. Originality/value This research adds to the limited literature regarding consumer attitudes towards fortified foods. It highlights a need to improve public awareness and labelling of fortified products to potentially increase fortified food consumption.
Automatic Detection of Human in Video and Human Tracking

: - Automatic Human detection and tracking is a vital part of video surveillance. Many human detection and human tracking algorithms have been discussed in literature survey. Authors in this paper have attempted to identify the human in clattered environment, identify human body (head, body and leg, track the human in the video based on RGB colour model and also detect collision between multiple human.
Robust Color Tracking to Ambient Light Changes

The use of color is a good technique for tracking objects. This technique has offered many advantages related to the robustness over occlusions, rotations, different geometries and scales. However, there are many studies that claimed that this technique generates excessive computational cost, and loss of reference due to the similar background color or loss of reference due to drastic changes in lighting. Therefore, there is a need to create a robust algorithm to prevent all the disadvantages mentioned above. This algorithm was mainly built on the analysis of the hue and saturation channels in the histogram based on the color space (hue, saturation and brightness - HSV). To resolve the disadvantages, an automatic recalculation of the histogram at each n frames has been developed. The algorithm has been enhanced to make it able to do all the process in real-time in large images up 1920x1080 pixels. The possible use of the algorithm is for controlling an automatic unmanned vehicle that will track a person.
A Case Study on Logistics Services Preferences for Supply Chain Entities in Shandong Province, China

As the Chinese economy has grown rapidly and as its container throughputs has demonstrated a stark increase in recent decades, companies worldwide have developed stronger financial connections with supply chain entities in China, a huge “Production Factory” in the world. This global economic trend arouses significant attention to distinct preference of individual entities in supply chain. The primary goal of the study is to establish statistical understanding on factors of logistics service preferences of each supply chain of each supply chain entity in China, especially Shandong Province. Ultimately, the study aims i) to establish the solid framework for proper evaluation of logistics services in supply chains, ii) to enhance the preferences of logistics services as a differentiating feature on behalf of entities. The study utilizes a holistic approach in analyzing logistics service attributes which affect overall logistics entities in an effort to overcome the limitations of previous studies which failed to provide integrating viewpoint of supply chain entities. In this study, AHP (Analytic Hierarchy Process) method is used as an analysis tool which allows an in-depth examination of the differences between factors and evaluations of customers regarding the logistics service attributes. The results clearly show distinctive service preferences for each four supply chain entities in Shandong Province of China such as 3PLs (forwarder, carrier, and warehouse), Customs (airport, seaport, and bonded area), Market channels (wholesaler, retailer, and e-retailer), and Manufacturers regarding the logistics service attributes.
Creating the computer player: an engaging and collaborative approach to introduce computational thinking by combining ‘unplugged’ activities with visual programming

Ongoing research is being conducted on appropriate course design, practices and teacher interventions for improving the efficiency of computer science and programming courses in K-12 education. The trend is towards a more constructivist problem-based learning approach. Computational thinking, which refers to formulating and solving problems in a form that can be efficiently processed by a computer, raises an important educational challenge. Our research aims to explore possible ways of enriching computer science teaching with a focus on development of computational thinking. We have prepared and evaluated a learning intervention for introducing computer programming to children between 10 and 14 years old; this involves students working in groups to program the behavior of the computer player of a well-known game. The programming process is split into two parts. First, students design a high-level version of their algorithm during an ‘unplugged’ pen & paper phase, and then they encode their solution as an executable program in a visual programming environment. Encouraging evaluation results have been achieved regarding the educational and motivational value of the proposed approach.
Comparison of Group Decision Making in Japan, Thailand, Vietnam, and Russia Using a Business Game

Background. Numerous preceding research studies have analyzed the relationship between strategy and culture through questionnaires and case studies. However, very few regard the input results of a business game’s decision making variables as strategy. Moreover, few conduct an analysis using the same scenario, under a controlled environment from the perspective of experimental business management studies, while using adult subjects with similar characteristics. Aim. This study compared the group decision making of Japan, Thailand, Vietnam, and Russia, particularly analyzing each culture’s influence on strategy. We verified the relationship between the cultural dimensions used in the GLOBE project and strategies within the business game. Method. This was a mixed methods study on the relation between cultural dimensions and business game entry strategies, based upon data collected by observation using a quasi-experimental approach that includes questionnaires and business games, and utterance analysis by counting the frequency of words. Findings. Countries differ in their tendencies to engage in sharing, with an emphasis on strategies such as, product differentiation differentiation, being marketing emphasized, or cost saving. Further, we could confirm relationships between several cultural dimensions and strategy.
Control of Power Electronic Converters for Efficient Operation of Microgrid Consisting of Multiple DG Units and ESS

To construct a reliable and efficient microgrid system which consists of multiple DG units, local loads, and ESS, this paper presents a control methodology of power electronic converters and their dynamic behaviors. Microgrid often exchanges the active and reactive power with main grid and needs to operate with a high degree of smartness and flexibility. In microgrid operation, the electrical power flow is mainly dependent on the generated power of DG units, load power demand, and ESS state. As main constituting elements of microgrid, this paper presents a control strategy of power electronic converters. Through the integrated simulation studies, the dynamic behaviors of power electronic converters are investigated in detail.
Measuring Content Validity: Students’ Self-efficacy and Meaningful Learning in Massive Open Online Course (MOOC) Scale

The objective of this research is to examine the content validity of students’ self-efficacy and meaningful learning scale in context of Massive Open Online Course (MOOC) by using Content Validity Ratio (CVR). The research was conducted through the evaluation among 20 expert panels with purposive sampling technique. Expert panels were divided into two categories which are professional experts and field experts. Nine professional university experts involved with the respective expertise in psychology, psychometric, educational measurement and MOOC. The field experts consisted of eleven doctor of philosophy (PhD) candidates who is studying in public university in Malaysia and specializing in particular fields of study. The scale contains of two aspects which is students’ self-efficacy and meaningful learning. Students’ selfefficacy is conceptualized in four constructs with 35 items. Meanwhile for meaningful learning, there have five construct with 50 items. The results of the research show that the scale has a good content validity and proved that the scale has great potential to be promoted as a good scale of students’ self-efficacy and meaningful learning in context of MOOC. It is suggested to apply more sophisticated statistical analysis, such as the Structural Equation Modelling for elaborating on quality items and model development.
THE INFLUENCE OF SHOPPING EXPERIENCE AND PERCEIVED VALUE TOWARD CUSTOMER SATISFACTION AND THEIR IMPACTS ON CUSTOMER LOYALTY AT MINIMARKETS IN ACEH

The aim of this research is to identify: (1) the influence of shopping experience and the perceived value toward customersatisfaction (2) the influence of shopping experience , the perceived value and customersatisfaction toward customer loyalty (3) the indirect influence of shopping experience and perceived value toward customer loyalty at minimarkets in Aceh evaluated through customer satisfaction.The research was conducted at minimarkets in Aceh. The objects of the study are: shopping experience role, and the perceived value between consumer loyalty and customer satisfaction which become the mediating variables. The number of population in this study is all the customers at minimarkets in Aceh, therefore, the sampling technique used in the research was known as the non- probability sampling. It is conducted by taking the purposive sampling method, it means that the population considered as research sample has certain criterias, At the end, there were 270 respondents as the sample population.Structural Equation Modeling (SEM) was the analysis equipment. The study identifies that the shopping experience and perceived value have positive and significant impact on customer satisfaction and shopping experience, moreover, the perceived value and customer satisfaction provide positive and significant impact toward the customer loyalty. In addition, the shopping experience and the perceived value indirectly give positive impact and significantly influence the customer loyalty of minimarkets in Aceh which shown through thee customer satisfaction.
Using OpenRefine

The essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web Overview Create links between your dataset and others in an instant Effectively transform data with regular expressions and the General Refine Expression Language Spot issues in your dataset and take effective action with just a few clicks In Detail Data is supposed to be the new gold, but how can you unlock the value in your data? Managing large datasets used to be a task for specialists, but you don't have to worry about inconsistencies or errors anymore. OpenRefine lets you clean, link, and publish your dataset in a breeze. Using OpenRefine takes you on a practical tour of all the handy features of this well-known data transformation tool. It is a hands-on recipe book that teaches you data techniques by example. Starting from the basics, it gradually transforms you into an OpenRefine expert. This book will teach you all the necessary skills to handle any large dataset and to turn it into high-quality data for the Web. After you learn how to analyze data and spot issues, we'll see how we can solve them to obtain a clean dataset. Messy and inconsistent data is recovered through advanced techniques such as automated clustering. We'll then show extract links from keyword and full-text fields using reconciliation and named-entity extraction. Using OpenRefine is more than a manual: it's a guide stuffed with tips and tricks to get the best out of your data. What you will learn from this book Import data in various formats Explore datasets in a matter of seconds Apply basic and advanced cell transformations Deal with cells that contain multiple values Create instantaneous links between datasets Filter and partition your data easily with regular expressions Use named-entity extraction on full-text fields to automatically identify topics Perform advanced data operations with the General Refine Expression Language Approach The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way. Who this book is written for This book is targeted at anyone who works on or handles a large amount of data. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.
Rule Based and Association Rule Mining OnAgriculture Dataset

The wide availability of huge amounts of agriculture data has generated an urgent need for the research of data mining. Generating rules with higher accuracy for Agriculture databases can be done using different techniques of data mining. As the analysis of agriculture dataset is usually a complex work. Two different techniques were demonstrated for mining agriculture dataset, Association rule mining and Classification technique. Both of them are successful. It is always difficult to select the appropriate data mining algorithm for the specific database, there can be many algorithms through which rules can be generated but it is always a problem to get rules with higher accuracy. Research mainly emphasizes on different algorithm for mining agriculture data.
Providing Information from Brazilian Politicians Using Linked Data

Since its inception, the Web has undergone continuous evolution in order to improve itself as a means of global communication and information sharing. Open Government Data are increasingly being published on the Web, contributing to the transparency and the reusability of public data. At the same time, the use of Linked Data has been increasing in recent years, enabling the development of better and smarter applications. This chapter presents a case on the publication of Open Government Data using the Linked Data practices, by creating a data set of Brazilian politicians with information collected from different sources. This is the first dataset providing Brazilian linked data.