Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a Continuous User Authentication Using Haptic Information

With the advancement in multimedia systems and the increased interest in haptics to be used in interpersonal communication systems, where users can see, show, hear, tell, touch and be touched, mouse and keyboard are no longer dominant input devices. Touch, speech and vision will soon be the main methods of human computer interaction. Moreover, as interpersonal communication usage increases, the need for securing user authentication grows. In this research, we examine a user’s identification and verification based on haptic information. We divide our research into three main steps. The first step is to examine a pre-defined task, namely a handwritten signature with haptic information. The user target in this task is to mimic the legitimate signature in order to be verified. As a second step, we consider the user’s identification and verification based on user drawings. The user target is predefined, however there are no restrictions imposed on the order or on the level of details required for the drawing. Lastly, we examine the feasibility and possibility of distinguishing users based on their haptic interaction through an interpersonal communication system. In this third step, there are no restrictions on user movements, however a free movement to touch the remote party is expected. In order to achieve our goal, many classification and feature reduction techniques have been discovered and some new ones were proposed. Moreover, in this work we utilize evolutionary computing in user verification and identification. Analysis of haptic features and their significance on distinguishing users is hence examined. The results show a utilization of visual features by Genetic Programming (GP) towards identity verification, with a probability equal to 50% while the remaining haptic features were utilized with a probability of approximately 50%. Moreover, with a handwritten signature application, a verification success rate of 97.93% with False Acceptance Rate (FAR) of 1.28% and 11.54% False Rejection Rate (FRR) is achieved with the utilization of genetic programming enhanced with the random over sampled data set. In addition, with a totally free user movement in a haptic-enabled interpersonal communication system, an identification success rate of 83.3% is achieved when random forest classifier is utilized.
Impact of Readability on Corporate Bond Market

This paper investigates the impact of annual report readability on the corporate bond market. My findings indicate that in the US corporate bond market, firms with less readable annual reports tend to have higher credit spreads, higher credit spread volatilities, higher transaction costs, higher transaction costs volatility, smaller trade size, higher number of trades and higher number of trades volatility. This paper also provides the first answers to the question as to whether annual report readability matters to international market participants in the corporate bond market. My findings provide evidence that in the EUR corporate bond market, firms with more readable annual reports are associated with lower credit spreads.
Awareness and use of a mobile phone as a potential pedagogical tool among secondary school teachers in Tanzania

ABSTRACT The government of Tanzania through its ICT Policy for Basic Education, devoted to use a mobile phone among other ICTs, as a strategy to enhance the quality of education. It is from this fact that this study determined teachers’ awareness of the educational benefits of the device, their use and barriers towards their educational use. The study was qualitative in nature, using a sample of twenty one (21) teachers who were purposefully selected from three secondary schools. Data were sought through semi-structured interviews and were thematically analyzed. The findings revealed that teachers are well informed of its benefits, but they hardly utilize it for educational purposes. Lack of knowledge and skills, negative attitude, lack of awareness of the ICT policy, age and low motivation emerged as key barriers. In the light of the findings, the study concluded that the government’s devotion to integrate the device in the promotion of quality education has not yet moved beyond policy statements. Thus, a concerted effort is needed to train teachers on pedagogical utilization of the device.
Pengaruh Penggunaan Model Cooperative Learning Tipe Cooperative Integrated Reading and Composition Terhadap Peningkatan Pemahaman Konsep Peserta Didik

This research is motivated by the lack of understanding of students' concepts that can be seen when educators give a question to students who cannot repeat the concept with their own language. The purpose of this study was to determine the use of Cooperative Learning learning types of Cooperative Integrated Reading and Composition (performed very well or not, so that if it is good then there will be an influence on increasing students' concept understanding. This research was conducted in the even semester of 2017/2018 school year. The method used in this study is quasi-experimental using purposive sampling, where the population is all students of class X SMAN 11 Bandung and the sample in this study is students of class X IPS 2 as an experimental class and students of class X IPS 3 as a class control consisting of each class totaling 32 students. The instruments used in this study are observation sheets and test types describing the concept comprehension ability in writing so the data to be collected in this study are pretest and posttest data which are then analyzed by using SPSS 22.0 for Windows software to see the effect of using learning models CIRC. Hypothesis testing results using the observation sheet, and t-test which shows that the CIRC model use model is used very well, and based on the results of statistical tests the understanding of the concept of students in the experimental class experienced a significant increase compared before using it.
Thermo-mechanical properties of fused borosilicate syntactic foams

The coefficient thermal expansion, a (CTE) of glass microballoon/vinyl ester syntactic foam was determined using dimensional changes of a temperature gradient plot. The CTE was measured and found to be up to 53-63 % lower than the vinyl ester resin matrix when mixing with different weight percentages of the glass microballoon ranging from 2 wt. % to 10 wt. % using a thermomechanical analyzer (TMA). The results of CTE showed that it has a strong relationship with the syntactic foam density (r), radius ration (h) ,cavity porosity (fg) and matrix porosity (fm). Experimental results showed that the CTE decreases when glass microballoons are added into the composites measured at different temperatures ranging from 30 oC to 70 °C. The CTE from the experimental results were also compared with Turner’s modification model for composites for its suitability for thermal expansion of syntactic foams. The results indicate that Turner’s modification model exhibits a close correlation with the reduction up to 80 % of CTE based on experiment.
Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline?

Objective To improve understanding of diffusion weighted imaging (DWI) characteristic of MRI and clinical variables, further optimize the Bosniak classification for diagnosis of cystic renal masses (CRMs). Methods This study retrospectively analyzed 130 CRMs in 125 patients with CT or MRI, including 87 patients with DWI (b = 600, 1000 s/mm2). Clinical variables and histopathological results were recorded. Two radiologists in consensus analyzed images of each lesion for the size, thickness of wall, number of septum, enhancement of wall/septum, wall nodule, signal intensity on DWI, calcification, and cyst content. Clinical variables, CT and MRI image characteristics were compared with pathology or follow-up results to evaluate the diagnostic performance for CRMs. Results Of the 130 lesions in 125 patients, histological analysis reported that 36 were malignant, 38 were benign, and no change was found in 56 followed-up lesions (mean follow-up of 24 months). The incidences of cystic wall thickened, more septa, measurable enhancement of wall/septum, nodule(s) on CT/MRI, and high signal intensity on DWI were significantly higher in malignant than in benign CRMs (CT: p = 0.005, p < 0.001, p < 0.001, p < 0.001, p < 0.001; MRI: p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001). Combination of MRI including DWI features with CT findings showed the highest area under ROC curve (0.973) in distinguishing benign and malignant CRMs. Conclusions Incorporating DWI characteristic of CRMs into Bosniak classification helps to improve diagnostic efficiency.
LEIQ™ As An Emotion and Importance Model for QoL: Fundamentals and Case Studies

Past literature has increasingly highlighted the importance of understanding people’s emotional responses towards the characteristics of everything that has points of interactions with the people. Ever since it was introduced, research relating the emotional responses to the economic power of industrial products, hospitality services, as well as employees’ or peoples’ productivity has been expanding. This paper presents a model called Lokman’s Emotion and Importance Quadrant (LEIQ)™, which was built based on axes of emotion vs. importance, to investigate emotion and the importance of the influential factors of the emotion. The paper presents two case studies; i) Employee’s Happiness, ii) Student’s Well-being, with the implementation of LEIQ™ to showcase the process to discover the indicators that affect people’s emotion, and its importance to the people in the effort to provide information to the leaders or management advocates for their strategic decision-making in ensuring well-being and Quality of Life (QoL). Both case studies have enabled the research to understand factors that affect Employee’s Happiness and Student’s Well-being, and how it is important to them. The effective use of this model could facilitate decision makers in an organisation, community, society, and even a nation at large to gain knowledge and devise correct strategies to boost people’s well-being, promoting more positive emotion, and ultimately upsurge productivity and QoL of the people. Keywords: Emotion, human factors, Kansei, KJ method, quality of life (QoL).
Do country stereotypes influence language learning motivation? A study among foreign language learners in Malaysia

It has been acknowledged in research literature that stereotypes about a target language country held by language learners influence the students’ motivation to learn a foreign language (L2 motivation). However, there is a lack of studies that link explorations of these stereotypes and L2 motivation in a single research project. This mixed-methods study addressed this gap in research literature. It examined relationships between endogenous stereotypes about target language countries and L2 motivation using a sample of 194 students learning foreign languages in a major public university in Malaysia. These languages included French, German, Italian, Portuguese (European and Brazilian varieties), Russian and Spanish. The data were collected through a questionnaire survey. One open-ended question sought the students’ mental images of the target language countries; two thermometer-type scales assessed the students’ general attitudes toward the target language countries and people and 16 closed-ended statements with attached Likert-type scales assessed their L2 motivation. The findings from the qualitative strand of the analysis revealed that the respondents had distinct and predominantly positive images of each of the target language countries. This allowed making a tentative proposition that the country stereotypes would have a positive relationship with the students’ L2 motivation, especially the integrative orientation. Results of the statistical analyses in the quantitative phase indicated that the relationship between the country stereotypes and L2 motivation was the strongest in the case of the integrative orientation. The article concludes with a brief discussion of implications that can be drawn from this study.
Market Allocations under Ambiguity: A Survey

We review some of the (theoretical) economic implications of David Schmeidler's models of decision under uncertainty (Choquet expected utility and maxmin expected utility) in competitive market settings. We start with the portfolio inertia result of Dow and Werlang (1992), show how it does or does not generalize in an equilibrium setting. We further explore the equilibrium implications (indeterminacies, non revelation of information) of these decision models. A section is then devoted to the studies of Pareto optimal arrangements under these models. We conclude with a discussion of experimental evidence for these models that relate, in particular, to the implications for market behaviour discussed in the preceding sections.
The functional architecture of visual, hemispere-specific processing and its development in birds

Unter cerebraler Asymmetrie versteht man die neuroanatomische Ungleichheit u. funktionale Spezialisierung der Hirnhalften. Die Entstehung dieser Asymmetrie wird durch genetische u. epigenetische Einflusse auf die Entwicklung des Gehirns beeinflust. In dieser Doktorarbeit wurden die Ontogenese u. die neuronalen Mechanismen der asymmetrischen Informationsverarbeitung genauer untersucht. Als Modell wurde dabei das visuelle System von Tauben benutzt. Es wurde zunachst ein Vergleich zwischen verschiedenen Vogelspezies aufgestellt. Dabei zeigte sich, dass es abhangig von der Entwicklungsgeschwindigkeit des Vogels zur Ausbildung von anatomischen Asymmetrien in unterschiedlichen visuellen Systemen kommt. Diese Ausbildung von Asymmetrien wird durch eine asymmetrische Lichtstimulation im Ei initiiert. Dabei scheinen interhemisparische Prozesse eine grose Rolle zu spielen. Ein weiterer Fokus dieser Arbeit liegt deshalb in der anatomischen u. behavioralen Untersuchung interhemisparischer Prozesse.
The Relationship between Leadership Style and Employee Outcomes: The Mediating Role of Organizational Commitment

Objective - The objective of this study is to examine the relationship between transformational leadership styles and job performance and the mediating role of organizational commitment in the relationship between transformational leadership style and job performance in State-Owned Banks in West Kalimantan, Indonesia. Methodology/Technique - The data used to evaluate the model was gathered from the State-Owned Banks in West Kalimantan, Indonesia. 200 permanent employees of those State-Owned Banks participated in the survey. The Structural Equation Modelling (SEM), using LISREL software was employed to examine the relationship among the constructs in this study, which are transformational leadership style, organizational commitment, and job performance. Finding - The findings of this study conclude that transformational leadership style significantly affects job performance and organizational commitment, whereas organizational commitment significantly influences job performance. Briefly, organizational commitment mediates the relationship between transformational leadership styles and job performance in State-Owned Banks in West Kalimantan, Indonesia. Novelty - Most of the previous studies were carried out in western countries, raising doubts about generalizations in research results in developing countries such as Indonesia. Therefore, the novelty of this research is carried out in the context of developing countries, especially in State-Owned Banks in West Kalimantan, Indonesia. Type of Paper - Empirical. Keywords: Transformational Leadership Style; Organizational Commitment; Job Performance. JEL Classification: L22, M12, M19.
Customer loyalty: effects of sales information system, marcomm, and brand ambassadors

Cosmetic products have different characteristics compared to other products. Recently, it is considered as primary needs rather than secondary which are always included in the monthly shopping list. Without leaving its identity, the company is based on multi-level marketing, which previously was a negative image. Oriflame required to satisfy customers so that they can get loyal customers. This research will analyse the influence of Sales Information System, IMC Strategy (Integrated Marketing Communications) and the Role of Brand Ambassadors on the loyalty of customers of Oriflame products in Indonesia. To obtain data for analysis, this research conducts the non-probability sampling method of purposive sampling, which is a method of determining respondents to be sampled. The population in this study are all customers of Oriflame products in Indonesia.
THE INFLUENCE OF STOCK CHARACTERISTICS ON RETURN IN CONSUMER GOODS INDUSTRY COMPANIES

This study aims to determine the influence of stock characteristics with stock returns on consumer goods industry companies listed on the Indonesian Stock Exchange period 2011- 2015. Stock characteristics are illiquidity, size, beta, risk and dividend yield. This study uses quantitative approach by using multiple linear regression method in the form of panel data. This study uses a sample of consumer goods industry companies listed on the Indonesia Stock Exchange period 2011-2015. The number of samples used in this study is 125 years of observation consisting of 25 companies. The finding of this study indicates that the influence of stock characteristics with stock returns. Illiquidity has no significant positive effect on stock return. Size has no significant positive effect on stock return. Beta has a significant positive effect on stock return. Risk has a significant negative effect on stock return. Dividend yield has a significant negative effect on stock return.
Deep Learning with Logged Bandit Feedback

We propose a new output layer for deep neural networks that permits the use of logged contextual bandit feedback for training. Such contextual bandit feedback can be available in huge quantities (e.g., logs of search engines, recommender systems) at little cost, opening up a path for training deep networks on orders of magnitude more data. To this effect, we propose a Counterfactual Risk Minimization (CRM) approach for training deep networks using an equivariant empirical risk estimator with variance regularization, BanditNet, and show how the resulting objective can be decomposed in a way that allows Stochastic Gradient Descent (SGD) training. We empirically demonstrate the effectiveness of the method by showing how deep networks — ResNets in particular — can be trained for object recognition without conventionally labeled images.
Effect of Environmental Regulation on Firm Performance:Evidence from a Policy Experiment

Using a policy experiment that involved the imposition of a technical regulation by the Ministry of Environment and Forests on the Indian leather and textile industries in 1997, firm-level data set is used to study trade, adaptation, innovation and survival effects and how they vary by firm size. The study finds that (i) regulation led to significant gains from trade through the use of improved raw materials and technological change, especially for the big firms, (ii) use of high-quality raw materials and productivity levels significantly account for the exit decision of a firm, and (iii) regulation significantly affects the exit probabilities of all firms across size distribution.
The Effect of Achievement Goals Profiles on Learning Approaches and Academic Achievement: A Multiple-Goals Perspective

The present study aimed at investigating whether high school students can be grouped into different achievement goals profiles, whether these profiles differ in learning approaches and academic achievement, and whether learning approaches is a mediator of the relationship between achievement goals profiles and academic achievement. The sample of the study included 350 high school students (189 males and 161 females) in Oman. Students responded to the Arabic version of the Learning Process Questionnaire-Revised-2 Factors (LPQ-R-2F-A) and the Achievement Goal Questionnaire-Revised (AGQ-R-A). A hierarchical cluster analysis showed four different achievement goals profiles: High mastery-approach goal, high performance-approach goal, all low multiple goals, and high performance-avoidance goal. Students with mastery-approach goal profile showed the highest usage of the deep approach to learning whereas students with performance-avoidance goal profile were the lowest. Students with performance-avoidance goal profile showed the highest usage of surface approach to learning, whereas students with mastery-approach goal profile were the lowest. Students with high performance-avoidance goal profile had the lowest academic achievement. Learning approaches fully mediated the effect of achievement goals profiles on academic achievement.
Is Regionalism Simply a Diversion?: Evidence from the Evolution of the EC and Efta

This paper considers the impact on trade of preferential arrangements in Europe since the 1950s. Using a first difference version of the gravity model, we find that the EEC and EFTA altered the pattern of international trade. We also find evidence of trade diversion in several cases, notably that of the EEC in the 1960s.
International Financial Regulation and Cross-Jurisdictional Arbitrage: Evidence from the Derivatives Market Reform

We investigate regulatory arbitrage during the G20’s global derivatives market reform. Using hand-collected data on staggered reform progress, we find that banks shift their trading towards less regulated jurisdictions. The result is driven by agenda items – such as the promotion of central clearing – that are costly, but do not directly benefit banks. We further document that subsidiaries in jurisdictions with more reform progress are more profitable but riskier, and – alleviating endogeneity concerns – that reform progress primarily relies on structural factors.
Analysis of Financial Performance in Predicting Earning Growth

This study aims to determine the effect of proxied financial performance with total asset turnover, current ratio, and return on assets in predicting earning growth in manufacturing companies listed on the Indonesia Stock Exchange for the period 2016-2017. The research sample was 48 out of 144 manufacturing companies through purposive sampling technique. The technique of collecting data is secondary data. Data analysis uses descriptive statistics and multiple linear regression analysis. The hypothesis tests are using the t-test and F test. Based on the results of the study found that return on assets, the current ratio has an effect on earning growth while total asset turnover does not affect earning growth. Manufacturing companies should pay more attention to their financial performance related to CR and ROA. They must also increase their operational activities, and more optimally use the company's overall assets effectively. For further research, it is suggested that in predicting earning growth, there are many factors beside CR and ROA that will influence the earning growth.