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Rehab M. Hamdy,Shaimaa A Habib,Layla A Mohamed,Ola H. Abd Elaziz 한국심초음파학회 2022 Journal of Cardiovascular Imaging (J Cardiovasc Im Vol.30 No.4
BACKGROUND: In many cardiovascular disorders, the contractile performance of the right ventricle (RV) is the primary determinant of prognosis. For evaluating RV volumes and function, 4 dimensional (4D)-echocardiography has become common. This research used 2D and 4D modalities to assess RV contractile performance in hypertensive patients. METHODS: A total of 150 patients with essential hypertension were enrolled in this study, along with 75 age and sex-matched volunteers. Clinical evaluation and echocardiographic examination (including M-mode, tissue Doppler imaging, and 2D speckle tracking) were conducted on all participants. RV volumes, 4D-ejection fraction (EF), 4D-fractional area change (FAC), 4D-tricuspid annular plane systolic excursion (TAPSE), 4D-septal and free wall (FW) strain were all measured using 4D-echocardiography. RESULTS: Hypertensive patients showed 2D-RV systolic and diastolic dysfunction (including TAPSE, 2D-right ventricular global longitudinal strain, RV-myocardial performance index and average E/EaRV) and 4D-RV impairment (including right ventricular EF, FAC, RV strain and TAPSE, right ventricular end-diastolic volume and right ventricular end-systolic volume) compared to the control group. We verified the prevalence of RV systolic dysfunction in hypertension patients using the following parameters: 1) 15% of them had 2D-TAPSE < 17 mm vs. 40% by 4D-TAPSE; 2) 25% of them had 2D-GLS < 19% vs. 42% by 4D-septal strain and 35% by 4D FW strain; 3) 35% of hypertensive patients had 4D-EF < 45%; and finally; 4) 25% of hypertensive patients had 2D-FAC < 35% compared to 45% by 4D-FAC. CONCLUSIONS: The incidence of RV involvement was greater in 4D than in 2D-modality trans-thoracic echocardiography. We speculated that 4D-echocardiography with 4D-strain imaging would be more beneficial for examining RV morphology and function in hypertensive patients than 2D-echocardiography, since 4D-echocardiography could estimate RV volumes and function without making geometric assumptions.
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Are Women in Kuwait Aware of Breast Cancer and Its Diagnostic Procedures?
Saeed, Raed Saeed,Bakir, Yousif Yacoub,Ali, Layla Mohammed Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.15
The aim of this study was to examine the knowledge and awareness of women in Kuwait with regard to risk factors, symptoms and diagnostic procedures of breast cancer. A total of 521 questionnaires were distributed among women in Kuwait. Results showed that 72% of respondents linked breast cancer factors to family history, while 69.7% scored abnormal breast enlargement as the most detectable symptom of the disease. Some 84% of participants had heard about self-examination, but knowledge about mammograms was limited to 48.6% and only 22.2% were familiar with diagnostic procedures. Some 22.9% of respondents identified the age over 40 years as the reasonable age to start mammogram screening. Risk factor awareness was independent on age groups (p>0.05), but both high education and family history increased the likelihood of postivie answers; the majority knew about a few factors such as aging, pregnancy after age 30, breast feeding for short time, menopause after age of 50, early puberty, and poor personal hygiene. In conclusion, 43.1% of participants had an overall good knowledge of breast cancer with regards to symptoms, risk factors and breast examination. Very highly significant associations (p<0.005) were evident for all groups except for respondents distributed by nationality (p=0.444). Early campaigns for screening the breast should be recommended to eliminate the confusion of wrong perceptions about malignant mammary disease.
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Web-based University Classroom Attendance System Based on Deep Learning Face Recognition
Nor Azman Ismail,Cheah Wen Chai,Hussein Samma,Md Sah Salam,Layla Hasan,Nur Haliza Abdul Wahab,Farhan Mohamed,Wong Yee Leng,Mohd Foad Rohani 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.2
Nowadays, many attendance applications utilise biometric techniques such as the face, fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to the advancement of deep learning algorithms, the accuracy rate of biometric techniques has been improved tremendously. This paper proposes a web-based attendance system that adopts facial recognition using open-source deep learning pre-trained models. Face recognition procedural steps using web technology and database were explained. The methodology used the required pre-trained weight files embedded in the procedure of face recognition. The face recognition method includes two important processes: registration of face datasets and face matching. The extracted feature vectors were implemented and stored in an online database to create a more dynamic face recognition process. Finally, user testing was conducted, whereby users were asked to perform a series of biometric verification. The testing consists of facial scans from the front, right (30 – 45 degrees) and left (30 – 45 degrees). Reported face recognition results showed an accuracy of 92% with a precision of 100% and recall of 90%.
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