The Effect Of Interaction Between Hyper-Video Navigation Tools And The Cognitive Style In Raising The Level Of Learning Rate Of Students At The College Of Education

The purpose of this study is to determine the effect of the interaction between hyper-video navigation tools (buttons, cognitive maps, and hot spots) and cognitive style (independent of cognitive field / dependent according to the cognitive field) ا on the learning rate of the students at the Department of Education Technology. An experimental approach was used to compare six experimental groups (3*2). The research sample consisted of sixty sixth-grade students from the Department of Learning Techniques, College of Education, University of Jeddah. An embedded figure test (Embedded Figure Test) was used for e-learning technology to determine who is independent of the cognitive field and who is dependent according to the cognitive field. The research sample was divided into six experimental groups, each with ten students. An electronic achievement test was created to measure the learning rate of students. The results showed that the buttons were the appropriate navigation tool for both the independents and the dependents in the cognitive field. That is because the buttons take into account the individual differences between the students, it was concluded that it is the most appropriate tool for roaming through the hyper-video.</jats:p

FOXP3 Can Predict Disease Progression and Risk of Transformation in Uniformly Treated Patients with Mycosis Fungoides

Abstract Abstract 5182 Background: Mycosis fungoides (MF) is a heterogeneous lymphoid neoplasm with a variable clinical course. In early stages MF often runs an indolent course. A small but significant part of these patients develop an aggressive course frequently associated with inferior survival. No consistent biological markers are predictive of survival or risk of transformation (RT). Foxp3 belongs to a novel forkhead transcription factor essential for the development and regulation of regulatory T-cells (Treg). Recent studies have shown conflicting results when expression of Foxp3 was analyzed as a prognostic factor in MF. We hypothesized that Foxp3 could be an important marker in predicting for overall survival (OS), progression-free (PFS) survival and RT in MF patients managed by uniform treatment regimens. Methods: 42 patients with newly diagnosed MF were retrieved form the record files. All patients were managed and treated at our institute. Complete follow-up and pathological material (paraffin blocks) was available for 35/42 patients. In all 35 cases the diagnostic biopsies were reviewed concurrently by an expert dermatopathologist and hematopathologist and diagnosis fully confirmed. The diagnostic biopsies were immunostained with CD3, CD4, CD7, CD8, CD30 and CD56 specific antibodies. Clonality for TCR gamma was performed for most of the cases in the study (85%). FOXP3 antibody (clone 221D/D3) that recognizes the Foxp3 in the nucleus (but does not cross react with other Foxp proteins) was utilized for studying the Foxp3 expression by the tumor cells and or peritumoral lymphocytes. 20 cases of reactive non-neoplastic dermal lesions including lichen planus, lupus and dermatitis were also immunostained for Foxp3 for comparison. Only high intensity nuclear staining was accepted as positive expression. The Foxp3 staining was further semi quantitatively estimated as no expression (0), 0–10% (1+), 10–50% (2+) and &gt;50% (3+). Both the cell content and immuno-architectureal pattern were determined. Age, sex, clinical presentation, stage of disease was compared to Fox3 expression by chi-square and Fishers's exact test. The Kaplan-Meyer method and log rank test were used to evaluate survival data. Results: 34 of 35 (97%) patients were alive at 8 years. Tumor stage at the time of diagnosis as defined by ISCL-EORTC, 2008 was as follows: stage 1A (57%), 1B (25%), 2A (6%), 2B (6%), 3 (6%). 19/35 (54%) were female and 16/35 (46%) were male. The median age at diagnosis was 44.0 years (range 7–80 years). The median follow-up period was 37 months (range 12– 96 months). Foxp3 expression showed predominantly intraepidermal or basal localization of tumor cells. In most of the cases the epidermotropism and the nuclear atypia was helpful in easily discerning tumor cells from reactive non-neoplastic Tregs. Reactive dermal lesions served as an excellent control in that the distribution of Tregs in these lesions was predominantly dermal and rarely basal. Overall 28/35 (80%) and 7/35 (20%) cases were positive and negative for Foxp3 respectively. There was no significant correlation between disease pattern, clinical presentation, stage, age or sex and marker expression. In the Foxp3 positive patients 17/28(61%) showed disease progression whereas 11/28 (39%) were free of disease at last follow-up (FU period 12–96 months) (p=0.05, Fisher's exact test). 13/28 (46%) Foxp3+ patients were found to have relapse of disease after initial response compared to only 2/7 (28.5%) patients, who relapsed but lacked Foxp3 expression (p=0.242, Fisher's exact test). Comparing disease progression and aggressiveness as evidenced by lymph node metastasis and transformation to Sezary syndrome: only Foxp3 positive cases (4 versus 0) had evidence of disease progression (3 lymph node metastasis alone and one Sezary syndrome) thus indicating increased RT. One patient who died of widespread disease showed &gt;30% Foxp3 expression in the neoplastic lymphoid cells. Conclusions: Specific biological markers for outcome and prognosis in MF remain elusive. A regulatory T-cell (Treg) phenotype defines a subset of MF patients who might carry a different prognosis and might require more aggressive and or targeted therapy. More data on Foxp3 expression in cutaneous T-cell lymphomas and its clinical significance is needed. Disclosures: No relevant conflicts of interest to declare. </jats:sec

A Case of Systemic Lupus Erythematosus in a Patient Presenting with Libman-Sacks Endocarditis

Background. Libman-Sacks endocarditis (LSE) is a rare cardiovascular manifestation of systemic lupus erythematosus/antiphospholipid syndrome that is described as a sterile verrucous nonbacterial vegetative lesion. These lesions can cause progressive damage to the heart valves leading to valve surgery. The most common valves to be affected are the aortic and mitral valves. Libman-Sacks endocarditis is associated with malignancies, other systemic diseases like systemic lupus erythematosus (SLE) and antiphospholipid antibody syndrome (APS). The majority of LSE patients are usually asymptomatic. Case Summary. We describe a 39-year-old male patient who presented with increasing shortness of breath and pulmonary congestion. He was found to have severe mitral valve regurgitation and mitral stenosis. Transesophageal echocardiogram confirmed the diagnosis of Libman-Sacks endocarditis with thickened mitral valve leaflets with symmetrical mass-like structure causing a restriction in the valve function during both cardiac phases later diagnosed with systemic lupus erythematosus by immunology. The patient was started on diuretics, anticoagulants, angiotensin inhibitors, beta-blockers, and hydroxychloroquine. He underwent successful mechanical mitral valve replacement with a 27 mm St. Jude valve. The mitral valve was found to be grossly thickened with friable tissue and complete amalgamation of the leaflets with subvalvular apparatus. The patient suffered some warfarin adverse effects a year later but did well otherwise. Conclusion. This case demonstrates that Libman-Sacks endocarditis can be the first manifestation of systemic lupus erythematosus. Early and prompt diagnosis of LSE can prevent and lessen the many side effects associated with thromboembolism. Additionally, addressing the underlying disease is key to successful treatment

Novel Automatic Segmentation Approach for Early Brain Tumour Detection: Comparative Evaluation with AI Approaches

International audienceBackground: Automatic object detection in medical images is a crucial step in the diagnostic process. The problem of detecting brain tumours at an early stage is well advanced with deep learning algorithms (DLA) such as convolutional neural networks (CNN). The issue lies in the fact that these algorithms necessitate a training phase involving a large database of several hundred images, which can be time-consuming and require complex computational infrastructure.Objective: This study aimed to comprehensively evaluate a proposed method, which relies on an active contour algorithm, for identifying and distinguishing brain tumours in magnetic resonance images.Methods: The proposed algorithm was tested using brain images from the BRATS Challenges 2021, specifically focusing on glioma tumours. The proposed segmentation method is made up of an active contour algorithm, an anisotropic diffusion filter for pre-processing, active contour segmentation (Chan-Vese), and morphological operations for segmentation refinement.Results: Its performance was evaluated using various metrics, such as accuracy, precision, sensitivity, specificity, Jaccard index, Dice index, and Hausdorff distance. The proposed method exhibited higher performance measures than most classical image segmentation methods and was comparable to the deep learning methods. These results indicate its ability to detect brain tumours accurately and rapidly.Conclusion: The results section provided both numerical and visual insights into the similarity between segmented and ground truth tumour areas. The findings of this study highlighted the potential of computer-based methods in improving brain tumour identification using magnetic resonance imaging. Future work must validate the efficacy of these segmentation approaches across different brain tumour categories and improve computing efficiency to integrate the technology into potential clinical processes