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The present study investigated differences on the knowledge and use of collocations between French and Japanese learners with regard to: 1) L1 influence; and 2) combinability and transparency influence. The test materials included four categories of the lexical collocations: 1) verb + noun; 2) delexicalised verb + noun; 3) adjective + noun; and 4) adverb + adjective. The two types of tasks, Multiple Choice Question Tasks and Translation Tasks, were performed, and the learner corpora were also investigated in order to examine whether the learners from different L1 backgrounds demonstrate differ...

This book explores the challenges of cross-cultural translation of American literary works into Arabic which, I argue, have prevented many nineteenth-century literary works from being translated into Arabic. I have used the Arabic translations of Harriet Beecher Stowe‘s Uncle Tom’s Cabin and an abridged English text accompanying one of the translations as a case study. Since most of the Arabic translations of English and especially American literary works are merely linguistic oriented ones, I reinforce the importance of adopting a period-specific cultural-oriented approach that maintains the ...

Debris disks are optically thin circumstellar disks around mainsequence stars, comprised of micron-sized grains. The dust is generated from destructive collisions of planetesimals, induced from gravitational perturbations by large planets. Debris disks can as signposts for planetary systems, through which, a universal picture can be obtained that encompasses the evolution and architecture of the Solar System’s own dust disk and planetary system. The dust in these disks can be detected by their thermal infrared flux, measured as an excess above the photospheric emission. Dust at different circu...

Upper body power (UBP) is one of the most important factors affecting the performance of cross-country skiers during races. Although some initial studies have already attempted to predict UBP, until now, no study has attempted to apply machine learning methods combined with various feature selection algorithms to identify the discriminative features for prediction of UBP. The purpose of this study is to develop new prediction models for predicting the 10-second UBP (UBP10) and 60-second UBP (UBP60) of cross-country skiers by using General Regression Neural Networks (GRNN), Radial-Basis Functio...

The purpose of this thesis is to develop new hybrid admission decision prediction models by using different machine learning methods including Support Vector Machines (SVM), Multilayer Perceptron (MLP), Radial Basis Function (RBF) Network, TreeBoost (TB) and K-Means Clustering (KMC) combined with feature selection algorithms to investigate the effect of the predictor variables on the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University. Three feature selection algorithms including Relief-F, F-Score and Correlation-based Feature Selection (CFS...

This Thesis presents a proposal for building an effective, legitimate, and transparent judicial system in the investor-state dispute settlement through an appellate review mechanism for the awards of ad hoc arbitral tribunals. Current investment dispute settlement system includes the arbitration facilities provided by institutions such as ICSID and ad hoc arbitration tribunals agreed by the disputing parties. This Thesis argues that this scheme of investment arbitration lacks the mechanisms for correcting the legal errors and securing the consistency between arbitral awards for the similar iss...

The purpose of this thesis is to forecast the amount of network traffic in Transmission Control Protocol/Internet Protocol (TCP/IP) -based networks by using different time lags and various machine learning methods including Support Vector Machines (SVM), Multilayer Perceptron (MLP), Radial Basis Function (RBF) Neural Network, M5P (a decision tree with linear regression functions at the nodes), Random Forest (RF), Random Tree (RT), and Reduced Error Prunning Error (REPTree), and statistical regression methods including Multiple Linear Regression (MLR) and Holt-Winters and compare the performanc...

State terrorism, as a concept, has largely been operationalised out of terrorism literature. When a state uses violence systematically against unarmed victims, with the purpose of generating fear and communicating a message to a group beyond the immediate victims, this steps outside the bounds of legitimate use of violence. The Islamic Republic of Iran (IRI) has engaged in such acts of violence against the Bahá’í community in that country. In this study, a working model of state terrorism is devised and the following central research question is addressed: do the strategy and tactics utilized ...

The issues of multicultural counseling competence within intensive in-community counseling stem from the lack of research on the lived experiences of African American families receiving intensive in-community counseling services. This research project includes exploring the perceptions of counseling experiences within the African American family, examining the perceptions of multicultural counseling competence in the African American family, and providing a document that explores the African American viewpoints of the home-based counseling experience. This study incorporated phenomenological...

The efficiency of a probabilistic hydrological forecasting system with weather radar and the Probability distributed hydrological model (PDM) was evaluated at the Brue catchment; south-western England. The ability of the radar to measure gauged precipitation in 2007 (regarded as the ground truth) was evaluated using Normalized Bias (NB) and Normalized Error (NE) statistics as the objective function of evaluation. The radar overestimated precipitation measurements by average gauges with NB value of 0.41 and a considerably low NE of 0.68. Furthermore, the effectiveness of a Deterministic nowcas...