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.
The application of the test case prioritization method is a key part of system testing intended to think it through and sort out the issues early in the development stage. Traditional prioritization techniques frequently fail to take into account the complexities of big-scale test suites, growing systems and time constraints, therefore cannot fully fix this problem. The proposed study here will deal with a meta-heuristic hybrid method that focuses on addressing the challenges of the modern time. The strategy utilizes genetic algorithms alongside a black hole as a means to create a smooth tradeoff between exploring numerous possibilities and exploiting the best one. The proposed hybrid algorithm of genetic black hole (HGBH) uses the
... Show MoreNumeral recognition is considered an essential preliminary step for optical character recognition, document understanding, and others. Although several handwritten numeral recognition algorithms have been proposed so far, achieving adequate recognition accuracy and execution time remain challenging to date. In particular, recognition accuracy depends on the features extraction mechanism. As such, a fast and robust numeral recognition method is essential, which meets the desired accuracy by extracting the features efficiently while maintaining fast implementation time. Furthermore, to date most of the existing studies are focused on evaluating their methods based on clean environments, thus limiting understanding of their potential a
... Show MoreIn this paper, a new method of selection variables is presented to select some essential variables from large datasets. The new model is a modified version of the Elastic Net model. The modified Elastic Net variable selection model has been summarized in an algorithm. It is applied for Leukemia dataset that has 3051 variables (genes) and 72 samples. In reality, working with this kind of dataset is not accessible due to its large size. The modified model is compared to some standard variable selection methods. Perfect classification is achieved by applying the modified Elastic Net model because it has the best performance. All the calculations that have been done for this paper are in
Calcifying epithelial odontogenic tumour (CEOT) is a benign odontogenic neoplasm of epithelial origin that secretes an amyloid‐like protein tending towards calcification. This study aims to describe a case series from Iraq of one of the rarest odontogenic tumours.
Clinical and histopathological analysis of Calcifying epithelial odontogenic tumour cases that are archived at the oral pathology laboratory of the college of dentistry (Baghdad University) from 2000 to 2019.
Six cases of CEOT were regi
One of the most difficult issues in the history of communication technology is the transmission of secure images. On the internet, photos are used and shared by millions of individuals for both private and business reasons. Utilizing encryption methods to change the original image into an unintelligible or scrambled version is one way to achieve safe image transfer over the network. Cryptographic approaches based on chaotic logistic theory provide several new and promising options for developing secure Image encryption methods. The main aim of this paper is to build a secure system for encrypting gray and color images. The proposed system consists of two stages, the first stage is the encryption process, in which the keys are genera
... Show MoreECG is an important tool for the primary diagnosis of heart diseases, which shows the electrophysiology of the heart. In our method, a single maternal abdominal ECG signal is taken as an input signal and the maternal P-QRS-T complexes of original signal is averaged and repeated and taken as a reference signal. LMS and RLS adaptive filters algorithms are applied. The results showed that the fetal ECGs have been successfully detected. The accuracy of Daisy database was up to 84% of LMS and 88% of RLS while PhysioNet was up to 98% and 96% for LMS and RLS respectively.