Transformation of Al-Wihdat Refugee Camp

Al-Wihdat is a legendary camp in the history of the Palestinian struggle for liberation, self-determination and national identity. It was established in 1955 for 5,000 refugees, three kilometres to the south of Amman's city centre and inhabited by refugees from the villages between Jaffa and Jerusalem. Shelters and tents dominated the camp scene until the early 1970s. Al-Wihdat was a main centre of activity of Palestinian nationalists in the late 1960s and early 1970s

Arab-German Remigration

This article discusses the remigration of Arab families formerly living in Germany, as well as the possible causes and effects of remigration. For several families, especially those with daughters, social and cultural reasons turn out to be the most important motivation for leaving Germany. Concerned that they will be unable to protect the family honour within a German setting, these families decided to move back to an Arab country where they hope to find a social environment that shares their moral concerns

ADFAC: Automatic detection of facial articulatory features

This work is licensed under a Creative Commons Attribution 4.0 International License.Using computer-vision and image processing techniques, we aim to identify specific visual cues as induced by facial movements made during monosyllabic speech production. The method is named ADFAC: Automatic Detection of Facial Articulatory Cues. Four facial points of interest were detected automatically to represent head, eyebrow and lip movements: nose tip (proxy for head movement), medial point of left eyebrow, and midpoints of the upper and lower lips. The detected points were then automatically tracked in the subsequent video frames. Critical features such as the distance, velocity, and acceleration describing local facial movements with respect to the resting face of each speaker were extracted from the positional profiles of each tracked point. In this work, a variant of random forest is proposed to determine which facial features are significant in classifying speech sound categories. The method takes in both video and audio as input and extracts features from any video with a plain or simple background. The method is implemented in MATLAB and scripts are made available on GitHub for easy access. • Using innovative computer-vision and image processing techniques to automatically detect and track keypoints on the face during speech production in videos, thus allowing more natural articulation than previous sensor-based approaches. • Measuring multi-dimensional and dynamic facial movements by extracting time-related, distance-related and kinematics-related features in speech production. • Adopting the novel random forest classification approach to determine and rank the significance of facial features toward accurate speech sound categorization.Humanities Research Council of Canada (SSHRC Insight Grant 435–2012–1641)Natural Sciences and Engineering Research Council of Canada (NSERC Discovery Grant 2017–05978

Plain-to-clear speech video conversion for enhanced intelligibility

Clearly articulated speech, relative to plain-style speech, has been shown to improve intelligibility. We examine if visible speech cues in video only can be systematically modified to enhance clear-speech visual features and improve intelligibility. We extract clear-speech visual features of English words varying in vowels produced by multiple male and female talkers. Via a frame-by-frame image-warping based video generation method with a controllable parameter (displacement factor), we apply the extracted clear-speech visual features to videos of plain speech to synthesize clear speech videos. We evaluate the generated videos using a robust, state of the art AI Lip Reader as well as human intelligibility testing. The contributions of this study are: (1) we successfully extract relevant visual cues for video modifications across speech styles, and have achieved enhanced intelligibility for AI; (2) this work suggests that universal talker-independent clear-speech features may be utilized to modify any talker’s visual speech style; (3) we introduce “displacement factor” as a way of systematically scaling the magnitude of displacement modifications between speech styles; and (4) the high definition generated videos make them ideal candidates for human-centric intelligibility and perceptual training studies

Pharmacy education and practice in 13 middle eastern countries

The Arab world has influenced the art and science of pharmacy for centuries. Pharmacy education and practice is continuing to evolve in the Arabic-speaking traditional Middle East countries, although relatively little information has been published in the English press. Our goal was to providea high-level synopsis of conditions in this region. We selected 13 countries for review. Information was obtained by reviewing the available published literature and individual university and program web sites, as well as contacting with program or country representatives. Seventy-eight active pharmacy schools in 12 countries were identified. At least 14,000 students (over 75% from Egypt) are admitted into baccalaureate degree programs every year. The 5-year baccalaureate degree remains the first professional degree to practice. While changes in pharmacy education have been relatively rapid over the past decade, the advancement of pharmacy practice, particularly in the private sector, appears to be slower. Hospital pharmacists often possess an advanced degree and tend to have a higher level of practice compared to that of community pharmacists. Despite the adversities that face academics and practitioners alike, there is a strong desire to advance the science and practice of pharmacy in the Middle East

Segmentation-based regularization of dynamic SPECT reconstructions

Abstract-Dynamic SPECT reconstruction using a single slow camera rotation is a highly underdetermined problem, which requires the use of regularization techniques to obtain useful results. The dSPECT algorithm We test this approach with a digital phantom simulating the kinetics of Tc99m-DTPA in the renal system, including healthy and unhealthy behaviour. Summed TACs for each kidney and the bladder were calculated for the spatially regularized and nonregularized reconstructions, and compared to the true values. The TACs for the two kidneys were noticeably improved in every case, while TACs for the smaller bladder region were unchanged. Furthermore, in two cases where the segmentation was intentionally done incorrectly, the spatially regularized reconstructions were still as good as the non-regularized ones. In general, the segmentation-based regularization improves TAC quality within ROIs, as well as image contrast

Life-threatening biopsy of an iliopsoas pseudotumour in a patient with haemophilia: a case report

Iliopsoas pseudotumour is a serious complication of haemophilia. We present the case of a 20-year-old male patient with a six-month history of left leg weakness, limitation of movement and wasting of the muscles. Clinically he was diagnosed as having a psoas muscle rhabdomyosarcoma. During a computed tomography (CT) scan-guided Tru-cut biopsy he developed a serious and life-threatening bleeding from a retroperitoneal muscular haematoma. The patient underwent laparotomy prior to his final diagnosis of an Iliopsoas pseudotumour, which is a serious, as well as rare, complication of haemophilia