Miracle-dz/UniFAR-FTUs huggingface dataset:
FEMSA: A finite element simulation tool for quasi-static seismic deformation

We set up a computational tool to numerically model static and quasi-static deformation generated by faulting sources embedded in plane or spherical domains. We use a Finite Element (FE) approach to automatically implement arbitrary faulting sources and calculate displacement and stress fields induced by slip on the fault. The package makes use of the capabilities of CalculiX, a non commercial FE software designed to solve field problems (see for details), and is freely distributed by request.
Requirements for learning scenario and learning process analytics

This contribution attempts to define what kind of learning analytics both learners and teachers should have in various forms of project-oriented learning designs in order to enhance the learning and teaching process within learning scenarios. SCHNEIDER, Daniel, et al. Requirements for learning scenario and learning process analytics. In: T. Amiel & B. Wilson. Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications. Chesapeake, VA : AACE, 2012. p. 1632-1641
A cognitive model for routing in agent-based modelling

Agent-based modelling (ABM) can be used as a computational tool to model human routing behaviour, and offers particular promise when combined with insights from cognitive science. In this paper, we introduce typical errors into the encoding of the agents mental representation of the environment. This method deviates from the classical computer science paradigm of optimality to capture human behaviour more accurately. By incorporating common distance and direction estimation errors, our model produces routes with fewer computational artefacts such as zigzagging (i.e., turning more often than the typical human) and bottlenecks (i.e., routing through one particular node that maximises eciency). We demonstrate our results in regular and irregular environments and validate our model using a set of real-world footfall data from Westminster, London.
Technological frames: influence of group frames (ingluence)

This study discusses the selection of the relevant social groups in frames research and looks at frame structure versus frame content to achieve this. To do this an ethnographic study was undertaken at an educational institute and the social groups that used computer systems within the organization were analyzed over a 10-year period. Two main relevant social groups were found within the staff group alone (staff / mediating staff) based on their perceptions of information technology in the organization. The findings suggest that within one social group there are multiple groups. Prior research that takes a social group as being homogenous may actually be doing a disservice to frame studies as there may be multiple social groups within the social group. This extends prior literature through focusing on determining the relevant social groups via frame structure and content over a ten-year period. The contribution is that the relevant social groups need to be more closely investigated as to whom they contain using frame structure and content over time. This is particularly true when we want to draw conclusions about the behavior of relevant social groups in relation to understanding and use of technology and implement interventions to improve organizational outcomes.
Global Stability of Full Open Reversible Michaelis-Menten Reactions

We consider the full closed and open Michaelis-Menten enzymatic reactions. We study the corresponding dynamical system and show its global stability if the equilibrium exists. If the system is open, the equilibrium may not exist. Then we consider an open chain of reversible metabolic reactions and also prove global stability. Our mathematical tools are monotone systems theory and compartmental systems theory.
SentiT: A Semi Real Time System for Interpreting Sentiment in Twitter

SentiT is an opinion analysis application for Twitter. Based on the keyword searched, SentiT collects tweets having to do with it , separates and labels them into the different polarity classes neutral, negative and positive , simultaneously we also categorize them into emotions which are anger, disgust, fear, joy, sadness, surprise . Our main objective is to prepare a system that takes real time data from the twitter and come to a conclusion about the opinion on particular product/keyword
THE ANALYSIS EFFECT OF DEBT, CREDIT AND INCOME TO SAVING-INVESTMENT GAP IN INDONESIA 2000-2015

The aim of this research is to analyze the effect of Foreign debt, Gross Domestic Product and Domestic Credit to Saving-investment Gap in Indonesia during 2000-2015.while also seeing how the relationship and influence of other macroeconomic variables such as Debt, GDP and credit to the saving-investment gap in the short and long term.This study uses time series for 15 years in the quarterly data 2000q1-2015q4. This study uses a Single Equationapproach - Error Correction Model (ECM). Results of the study in the short term is variable of credit is significant and positive relationship on the saving-investment gap in Indonesia. While variable of Debt and GDP not significantly to the saving-investment gap in the short term. In the long term variable of GDP haspositive effectand significantlyto saving-investment gap in Indonesia. And then variable of Debt and credit a significantly and negative effect on the saving-investment in the long term. Keywords: Saving-Investment Gap , Foreign Debt and Single Equation- ECM
Carbon emission reduction potentials through thinned wood in Japan

Abstract: Substituting fossil fuel with woody biomass for bioelectricity production has great potentials for carbon emission reductions while increasing forest productivity to increase carbon sequestration and improve ecological functionalities. Until recently, study on such potentials was very limited. Beginning in 2007, Japan’s special budgets were allocated for a 6-year intensive thinning on about 3.3 million ha of young stands for increasing carbon sinks in Japanese forests to meet the capped amount of 47.7 Tg CO2 year-1 allowed under the Marrakesh Accord. Because of only 30% of the thinned wood were used for sawntimber, CO2 and CH4 must have been emitted from the disposed thinned wood and wood waste. Such emissions and reduction potentials need to be assessed to provide future alternatives for climate change mitigation. We assessed carbon emission reduction potentials when woody biomass from thinned wood is fully utilized for bioelectricity production as compared with the generation of the same amount of energy produced under coal, oil, and natural gas scenarios. Our analytical results show that if all disposed thinned wood and wood waste are utilized to generate energy, about 62.6, 58.3, and 37.8 Tg CO2 year-1 could be prevented from emitting depending on emission scenarios or about 33.2, 30.9, and 20.0% of Japan’s reduction commitment to the Kyoto Protocol. On the other hand, if thinned wood and wood waste are not utilized, about 13.4 Tg CO2 year-1 would be released due to thinning. Our results suggest that incentives to reducing emission reductions in forest sector in the future climate change mitigation agreements will likely lead to large emission reductions, otherwise leakages due to thinning are unavoidable.
Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: A Comparative Multi Day Analyses between Surface and Intramuscular EMG

: Advances in myoelectric interfaces have increased the use of wearable prosthetics including robotic arms. Although promising results have been achieved with pattern recognition-based control schemes, control robustness requires improvement to increase user acceptance of prosthetic hands. The aim of this study was to quantify the performance of stacked sparse autoencoders (SSAE), an emerging deep learning technique used to improve myoelectric control and to compare multiday surface electromyography (sEMG) and intramuscular (iEMG) recordings. Ten able-bodied and six amputee subjects with average ages of 24.5 and 34.5 years, respectively, were evaluated using ofﬂine classiﬁcation error as the performance matric. Surface and intramuscular EMG were concurrently recorded while each subject performed 11 hand motions. Performance of SSAE was compared with that of linear discriminant analysis (LDA) classiﬁer. Within-day analysis showed that SSAE (1.38 ± 1.38%) outperformed LDA (8.09 ± 4.53%) using both the sEMG and iEMG data from both able-bodied and amputee subjects ( p < 0.001). In the between-day analysis, SSAE outperformed LDA (7.19 ± 9.55% vs. 22.25 ± 11.09%) using both sEMG and iEMG data from both able-bodied and amputee subjects. No signiﬁcant difference in performance was observed for within-day and pairs of days with eight-fold validation when using iEMG and sEMG with SSAE, whereas sEMG outperformed iEMG ( p < 0.001) in between-day analysis both with two-fold and seven-fold validation schemes. The results obtained in this study imply that SSAE can signiﬁcantly improve the performance of pattern recognition-based myoelectric control scheme and has the strength to extract deep information hidden in the EMG data.
Bioactive Molecules Profile from Natural Compounds

Currently, wide world research is focused on sustainable development and the demand for innovative clean technologies, nevertheless natural potential reconsideration could represent a viable solution for the identification and design of new pharmacological agents from renewable resources. The main reason consists of special properties of these natural derivates: immunomodulating activity with continuously perfectible selectiv‐ ity and efficiency. Plants and herb extracts have been used for centuries as traditional medicines, throughout the entire world. Romanian phytotherapy represents practically a very important part of our traditional knowledge and heritage. Therapeutic properties of plant active principles still continue to be the subject of many researches. In this chapter, an overview of plant bioactive molecules from the perspective of modern phytochemis‐ try is presented. A special part is devoted to a very special medicinal plant, Viscum album, in particular identification of amino acids and thionins from mistletoe.
Word Clustering as a Feature for Arabic Sentiment Classification

Rich morphology language, such as Arabic, requires more investigation and methods targeted toward improving the sentiment analysis task. An example of external knowledge that may provide some semantic relationships within the text is the word clustering technique. This article demonstrates the ongoing work that utilizes word clustering when conducting Arabic sentiment analysis. Our proposed method employs supervised sentiment classification by enriching the feature space model with word cluster information. In addition, the experiments and evaluations that were conducted in this study demonstrated that by combining the clustering feature with sentiment analysis for Arabic, this improved the performance of the classifier.
Losing more than gaining from overall stable prices: the differential perception of increasing versus decreasing prices made the Euro look like a price booster

The present research examined whether price trend misperceptions can be explained by the differential perception of increasing versus decreasing prices. We expected price increases (losses to consumers) to be perceived as being more intense than price decreases (gains to consumers) of the same magnitude. This tendency, in turn, should be positively associated with how people perceive the overall price trend. To test this reasoning, participants in the first two studies were asked to compare German Mark (DM) and Euro prices. First, participants received a menu containing 21 dishes with DM prices, and their price trend expectations were assessed. Then, participants indicated for each dish to what extent the price had changed. Finally, participants' overall price trend judgments were assessed. In both studies, results indicate that price trend judgments were biased toward rising prices. In addition, price increases were perceived as rising more than price decreases of the same magnitude were perceived as falling. This tendency was positively associated with overall price trend judgments, even after controlling for expectations. Study 3 was to replicate these findings in a different domain to demonstrate the general nature and impact of the hypothesized effect.
Handbook of Research on Technological Developments for Cultural Heritage and eTourism Applications

With the constant development of digital means of entertainment – that are easily made available to people and, in most cases, can be used anywhere – nowadays, a visit to a museum have to surround publics with unexpected and interactive experiences, in order to capture their attention and make them want to go to these places, in addition to continue to communicate their collections and promote society education. In this regard, it was discussed in this chapter the actual panorama of interactive technologies used in museums exhibitions worldwide, and there are discussed how these institutions are designing digital installations and utilizing virtual media to enhance the visitors’ experience, promoting positive relations between them and their publics. The main conclusion and reflection of the chapter is based on how this new era of technology is allowing increasing physical, cognitive and sensory accessibility, and transforms this kind of experience for disabled publics.
Maximum Relevance Maximum Anti-Redundancy (mRmA) Feature Selection

Filters represent a class of feature selection methods used to select a subset of useful features from high dimensional data on the basis of relevance and redundancy analysis. Maximum relevance minimum redundancy (mRMR) is a famous feature selection algorithm for microarray data [1]. The quotient based version of maximum relevance minimum redundancy (Q-mRMR) filter [1],[2] selects, at each iteration, the feature scoring maximum ratio between its class relevance and average redundancy over already selected subset. This ratio can be surprisingly large if the denominator i.e. redundancy term is very small, hence suppressing the effect of relevance and leads to the selection of features which can be very weak representatives of the class. This paper addresses this issue by presenting a maximum relevance maximum antiredundancy (mRmA) filter method. For mRmA the value of objective function is within reasonable limits for all values of relevance and redundancy, hence, making selection of appropriate features more probable. Our 10 fold cross validation accuracy results using naive Bayes and support vector machines (SVM) classifiers confirm that the proposed method outperforms both Q-mRMR and Fast Correlation based Filter (FCBF) methods on six datasets from various applications like microarray, image and physical domains.
The effects of corporate governance codes in curbing fraudulent activities in private organisations in Nigeria

The rise of accounting scandals has prompted the need to improve the relevance of financial reporting by setting up good corporate governance structures. The relationship between corporate governance and fraudulent activities has been strongly debated in the developed countries. It is recently that attention has turned to the study of corporate governance and financial reporting in developing countries. This paper examines and investigates the effects of corporate governance codes in curbing fraudulent activities in private organisations in Nigeria. This means that this paper is comparing two codes, the one of 2011 and the newer one of 2016. Specifically, this piece of work focuses on the characteristics of boards of directors and audit committees of 20 private companies listed on the Nigerian Stock Exchange during the period 2011-2016, by analysing whether the independent directors on boards and audit committees are associated with reduced levels of fraudulent activities. The objective of this study is to: 1) Ascertain whether a higher number of independent directors on boards of directors are associated with less fraudulent activities. 2) Investigate whether audit committees comprising independent directors are associated with less fraudulent activities. The study gathered data from the companies on the Nigerian stock exchange and the fraudulent activities variable, which is used to refer to either financial fraud or manipulated earnings was measured by discretionary accruals according to Dechow et al. (1995). The financial statements of the companies were used to determine discretionary accruals and the corporate governance variable data were obtained from the company’s corporate governance information as presented in their annual reports. The results supported the null hypotheses:1) Companies with higher number of independent directors on boards are associated with less fraudulent activities. 2) Companies with audit committees comprising independent directors are associated with less fraudulent activities. Therefore, the study adds to the limited research of the relationship between corporate governance mechanisms and fraudulent activities in Nigeria. It has also provided empirical evidence on the importance of some of the regulatory requirements established by the Nigerian Corporate Governance Codes. Key words: Corporate governance, financial fraud, manipulated earnings, board of directors, independent directors, audit committee.
Do external diversity practices boost focal firm performance? The case of supplier diversity

Based on the resource-based view, we propose that external diversity practices such as supplier diversity may affect firm performance. We find that the relationship between supplier diversity and short-term performance (i.e. productivity) is moderated by context such that firms in declining industries experience positive productivity effects while firms in munificent industries witness negative effects. For longer-term profitability (i.e. Tobin's q), we do not find support for a positive relationship between supplier diversity and long-term performance. However, positive supplier diversity effects emerge in munificent environments. Overall, in support of the strategic human resource management approach, we conclude that the effect of external supplier diversity on firm performance is contingent upon environmental munificence, which documented the necessity to include supplier diversity as a relevant component of a comprehensive diversity and equality management system.
Transformational Leadership and Business Performance: An Insight From Technology-based SMEs in Malaysia

Many researches have been conducted on leadership styles and business performance in Malaysia. However none of these researches specifically studied transformational leadership and business performance from the perspectives of technology-based SMEs. This paper serves two purposes. First, the authors aim to identify the critical dimensions of transformational leadership and business performance. Second, this paper intends to determine the relationship between transformational leadership and business performance. This study used a quantitative method approach using survey questionnaire. 86 respondents who are the owners or top managers of technology-based SMEs in Malaysia took part in the study. The analyses conducted involved factor, reliability and correlation analysis. The results of factor analysis proposed three dimensions representing transformational leadership, i.e. enthusiastic optimism, idealized influence and individual consideration which is contrary to the four dimensions theorized by Bass and Avolio (2004). In addition, business performance generated a one-factordimension. The correlation analysis indicates there is a significant and positive correlation between transformational leadership and business performance. The originality of this paper lies on being the first to examine the transformational leadership and business performance in technology-based SMEs in Malaysia. © 2016 Published by Future Academy www.FutureAcademy. org.uk
Simulating atmospheric turbulence using a phase-only spatial light modulator

Demonstration of the effect of atmospheric turbulence on the propagation of laser beams is traditionally a difficult task. This is due to the complexities of long-distance measurements and the scarcity of suitable laser wavelengths in atmospheric transmission windows. We demonstrate the simulation of atmospheric turbulence in the laboratory using a phase-only spatial light modulator. We illustrate the advantages of this approach, as well as some of the limitations, when using spatial light modulators for this application. We show experimental results demonstrating these limitations, and discuss the impact they have on the simulation of various turbulence strengths.
APPLICATION OF WIB FOR BETTER SEISMIC PERFORMANCE OF BRIDGE FOUNDATION

1 Professor, Department of Environmental and Civil Engineering, University of Okayama Tsushima-Naka, 3-1-1, Okayama 700, Japan, e_quakes@cc.okayama-u.ac. jp 2 Ph.D. Candidate, Department of Environmental and Civil Engineering, University of Okayama Tsushima-Naka, 3-1-1, Okayama 700, Japan, dns14616@cc.okayama-u.ac. jp 3 Ph.D., Seismic and Environmental Engineering Department, Kozo Keikaku Engineering Chuo 4-5-3, Nakano-ku, Tokyo 164, Japan, shimabuku@kke.co.jp
Test Anxiety in University Students: Identification of Inherent and Acquired Factors as a Basis for Effective Interventions

Test anxiety (TA) is a continuously growing and widespread phenomenon in contemporary Western society and it often has negative consequences for the individual’s well-being, health and academic performance. The identification of predictors of TA is a prerequisite to a better understanding of TA. The present study investigated whether the inherent factors birth order and sex and the later in life acquired factors perfectionism, goal orientation and personality predict TA in university students. 132 students of the University of Westminster, London, completed a survey employing a self-report questionnaire. A hierarchical multiple regression revealed that maladaptive perfectionism, neuroticism, conscientiousness, being second or later born, being female and having had negative previous test experience were significant predictors of TA explaining 65% of the variance in TA scores. Based on these findings, the design and application of effective prevention and intervention programmes to support students at risk were suggested. Additionally, limitations of the study and suggestions for future research were discussed.
Curious George and the Pizza

Curious George is up to his elbows in dough and trouble as he tries his hand at making pizza.Tony the baker chases him out of his restaurant, and George hides in a truck in the alley.An angry Tony becomes a grateful Tony when George helps him deliver a pizza in a way that only a monkey could.