The Jerusalem syndrome is an acute psychotic state observed in tourists and pilgrims who visit Jerusalem. The main symptom of this disorder is identification with a character from the Bible and exhibiting behaviours which seems to be typical for this character. The article presents an overview of cultural and demographic factors associated with the appearance of the Jerusalem syndrome. Three ma...

abstract this study aims to examine the use of religion heritage and application of the prophet job’s character mask. one of the important masks that have been used by contemporary poets is the prophet’s masks, especially the job of which the story exists in the quran. this character is a symbol of patience. darvish and sayyab are the most important poets who used the mask of this character.  e...

Based on our clinical and epidemiological data, we have sustained for a long time the unitary character of the various phenotypes of the diabetic syndrome. In this paper, we add several arguments sustaining that the unitary character of diabetes is related to a common primary defect in the function of the beta cell endoplasmic reticulum, leading to an inadequate processing of the two main secre...

One of the major application of Image processing is the character recognition. Character recognition is effective to convert the image character to text. This recognition process is more challenging in case of noisy or disturb image. In this work, a hybrid approach is suggested to perform this recognition effectively in case of disturbed noise image. The work is divided in three main stages. In...

Character recognition techniques associate a symbolic identity with the image of character. Character recognition is commonly referred to as optical character recognition (OCR), as it deals with the recognition of optically processed characters. The modern version of OCR appeared in the middle of the 1940's with the development of the digital computers. OCR machines have been commercially avail...

Scene text recognition plays an important role in many computer vision applications. The small size of available public available scene text datasets is the main challenge when training a text recognition CNN model. In this paper, we propose a CNN based Chinese text recognition algorithm. To enlarge the dataset for training the CNN model, we design a synthetic data engine for Chinese scene char...

Problem statement: Arabic character recognition has been one of the last major languages to receive attention. This may be attributed to the inherent complexity of both printed and handwritten Arabic characters. The objectives of this study were to: (i) summarize the main characteristics of Arabic language writing style. (ii) suggest a neural network recognition circuit. Approach: A Neural netw...

Text detection in natural scene images is an open and challenging problem due to the significant variations of the appearance of the text itself and its interaction with the context. In this paper, we present a novel text detection method combining two main ingredients: the robust extension of Stroke Width Transform (SWT) and the Deep Belief Network (DBN) based discrimination of text objects fr...

Several studies deals with the nonrobust character of various types of acceptance plans. Many such studies also analyze the robust character of sequential testing procedures when the underlying failure time distribution has a monotone failure rate. A vast literature on the life testing plans in the Bayesian framework is also available where updating prior with experimental data has been the mai...

This research aimed to explore and describe the types of conflict that occurred in ParaNorman Movie. object was movie, specifically its main character Norman Babcock. The instruments consisted observation protocol documentation. Data collection through eight necessary steps, namely, 1) watch 2) download script, 3) make sure script movie were line, 4) observe conflicts, 5) identify conflict, 6) ...