Abstract Infinitives and gerunds are non-finite verb forms which cannot be indicated by tense, number, or person. The construction of non-finite verbs is intricate because of their nature of meanings, forms, and functions. The major problem is that both infinitival and gerundial complements have identical functions and occupy identical positions in the sentences. Thus, there is a confusion in using an infinitival and gerundial forms after aspectual verbs. The selection of either one of these two forms as complements is controlled syntactically or semantically. Moreover, both forms can be used usually with similar predicate but with neat difference in meaning. In addition, there are problems with controlling the use of aspect, since aspectual verbs have specific syntactic and semantic restrictions. The study aims at investigating the use of infinitival and gerundial constructions and of aspectual verbs in selected British and American Novels, and identifying the syntactic and semantic behvior of aspectual verbs. The following procedures will be followed in the present study. Providing a theoretical background of the infinitival and gerundial complements and of aspectual verbs. Selecting the data from British and American novels, and analzing the novels according to the model of Smith (1997) about the classification of aspectual verbs. It has been concluded that the infinitive has been used more in the American novel, while the gerund has been used more in the British novel. The perfective viewpoint has been utilized more in the British novel, while the imperfective viewpoint has been utilized more in the American novel in the grammatical aspect. The high percentage of infinitive and imperfective viewpoint in the American novel clarifies the tendency to indicate an uncompleted action, while the high percentage of gerund and perfective viewpoint in the British novel clarifies the tendency to indicate a completed action. Stative and Activity verbs in the lexical aspect have been formed the highest percentage in both British and American novels in spite of the differences in the frequency of these verbs between novels. The following procedures will be followed in the present study. Providing a theoretical background of the infinitival and gerundial complements and of aspectual verbs. Selecting the data from British and American novels, and analzing the novels according to the model of Smith (1997) about the classification of aspectual verbs. It has been concluded that the infinitive has been used more in the American novel, while the gerund has been used more in the British novel. The perfective viewpoint has been utilized more in the British novel, while the imperfective viewpoint has been utilized more in the American novel in the grammatical aspect. The high percentage of infinitive and imperfective viewpoint in the American novel clarifies the tendency to indicate an uncompleted action, while the high percentage of gerund and perfective viewpoint in the British novel clarifies the tendency to indicate a completed action. Stative and Activity verbs in the lexical aspect have been formed the highest percentage in both British and American novels in spite of the differences in the frequency of these verbs between novels.
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The concept of the active contour model has been extensively utilized in the segmentation and analysis of images. This technology has been effectively employed in identifying the contours in object recognition, computer graphics and vision, biomedical processing of images that is normal images or medical images such as Magnetic Resonance Images (MRI), X-rays, plus Ultrasound imaging. Three colleagues, Kass, Witkin and Terzopoulos developed this energy, lessening “Active Contour Models” (equally identified as Snake) back in 1987. Being curved in nature, snakes are characterized in an image field and are capable of being set in motion by external and internal forces within image data and the curve itself in that order. The present s
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A bolted–welded hybrid demountable shear connector for use in deconstructable steel–concrete composite buildings and bridges was proposed. The hybrid connector consisted of a partially threaded stud, which was welded on the flange of a steel section, and a machined steel tube with compatible geometry, which was bolted on the stud. Four standard pushout tests according to Eurocode 4 were carried out to assess the shear performance of the hybrid connector. The experimental results show that the initial stiffness, shear resistance, and slip capacity of the proposed connector were higher than those of traditional welded studs. The hybrid connector was a ductile connector, according to Eurocode 4, with slip capacity higher than 6 mm. A nonli
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Two prevalent neurodevelopment disorders in children are attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). The fifth version of the Diagnostic and Statistical Manual of Mental Disorders describes autism as a condition marked by limitations in social communication as well as restricted, repetitive behavior patterns. While impulsivity, hyperactivity, and lack of concentration are signs of attention deficit hyperactivity disorder. Boys experience it more frequently than girls do. This study sought for possible factors that put children at risk for autism and attention deficit hyperactivity disorder, and it investigated the association between neurodevelopment disorders in children and parental risk factor i
... Show MoreThe aim of this paper to find Bayes estimator under new loss function assemble between symmetric and asymmetric loss functions, namely, proposed entropy loss function, where this function that merge between entropy loss function and the squared Log error Loss function, which is quite asymmetric in nature. then comparison a the Bayes estimators of exponential distribution under the proposed function, whoever, loss functions ingredient for the proposed function the using a standard mean square error (MSE) and Bias quantity (Mbias), where the generation of the random data using the simulation for estimate exponential distribution parameters different sample sizes (n=10,50,100) and (N=1000), taking initial
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In light of the development in computer science and modern technologies, the impersonation crime rate has increased. Consequently, face recognition technology and biometric systems have been employed for security purposes in a variety of applications including human-computer interaction, surveillance systems, etc. Building an advanced sophisticated model to tackle impersonation-related crimes is essential. This study proposes classification Machine Learning (ML) and Deep Learning (DL) models, utilizing Viola-Jones, Linear Discriminant Analysis (LDA), Mutual Information (MI), and Analysis of Variance (ANOVA) techniques. The two proposed facial classification systems are J48 with LDA feature extraction method as input, and a one-dimen
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