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Love Crimes &Violence against Women in Afghanistan
Somaya daughter of khoda bakhs 이화여자대학교 아시아여성학센터 2015 이화여자대학교 아시아여성학센터 학술대회자료집 Vol.2015 No.1
In this letter I am trying to figure out about type of violation against women in Afghanistan. Finding an imagination on real women situation after 13 years of presents of international troops in the country, opportunities and challenges we afghan women gained. In addition of this letter a photo story in power point about famous cases of violence happened and the Afghan feminist fights for women rights in Afghanistan will be attached. Tradition and religion affects on Afghan women life and the history of feminism is the discussed subjects.
DISTANCES OF GLOBULAR CLUSTERS BASED ON HIPPARCOS PARALLAXES OF NEARBY SUBDWARFS
SAAD SOMAYA MOHAMED,LEE SANG-GAK The Korean Astronomical Society 2001 Journal of The Korean Astronomical Society Vol.34 No.2
In the present study we have determined the distance moduli for seven globular clusters M2, M3, Ml0, M12, NGC 2808, NGC 6229, and NGC 6752, whose metallicities are in the range -1.54 < [Fe/H] < -1.10. We have derived distances for them by the main-sequence fitting method using a sample of local subdwarfs, whose accurate parallaxes are taken from the Hipparcos Catalog. The derived distance moduli are 15.52 for M2, 14.98 for M3, 14.23 for Ml0, 14.03 for M12, 15.56 for NGC 2808, 17.34 for NGC 6229, and 13.29 for NGC 6752.
Adnan Al Shaikh,Bader Shirah,Somaya Alzelaye 대한소아내분비학회 2020 Annals of Pediatirc Endocrinology & Metabolism Vol.25 No.1
Purpose: Insulin gene (INS) mutations are a rare cause of permanent neonatal diabetes and mature-onset diabetes of the young (MODY10). Homozygous mutations have been reported to cause diabetes by decreasing insulin biosynthesis through distinct mechanisms. In this study, we report a homozygous mutation c.-331C>G in the INS gene causing autosomal recessive neonatal diabetes in Saudi families and share our experience with diagnosis and management. Methods: We retrospectively reviewed all cases diagnosed with diabetes during the first week of life. We identified 18 cases, and all underwent genetic testing to identify the cause. Most had mutations in common genes (9 in KCNJ11 and 5 in ABCC8). The inclusion criterion for this study was a mutation in the INS gene. Results: Four patients from 3 Saudi families had mutations in the INS gene. All patients were born with low birth weight and were diagnosed with neonatal diabetes at the age of 2 days. Sanger sequencing analysis identified a homozygous INS pathogenic promoter variant, c.-331C>G. All patients were managed by insulin therapy. Two patients had persistent diabetes and in 2 cases diabetes resolved. Conclusion: This report indicates that a homozygous mutation in the INS gene is a probable and important cause of neonatal diabetes in Saudi Arabia. The c.-331C>G variant in the INS gene identified in our study showed variability both within and between families and different outcomes ranging from early resolution of diabetes after 2 months of life to permanent diabetes.
Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA
Javed, Sajid,Mahmood, Arif,Al-Maadeed, Somaya,Bouwmans, Thierry,Jung, Soon Ki IEEE 2019 IEEE TRANSACTIONS ON IMAGE PROCESSING - Vol.28 No.2
<P>Moving object detection is a fundamental step in various computer vision applications. <I>Robust principal component analysis</I> (RPCA)-based methods have often been employed for this task. However, the performance of these methods deteriorates in the presence of dynamic background scenes, camera jitter, camouflaged moving objects, and/or variations in illumination. It is because of an underlying assumption that the elements in the sparse component are mutually independent, and thus the spatiotemporal structure of the moving objects is lost. To address this issue, we propose a spatiotemporal structured sparse RPCA algorithm for moving objects detection, where we impose spatial and temporal regularization on the sparse component in the form of graph Laplacians. Each Laplacian corresponds to a multi-feature graph constructed over superpixels in the input matrix. We enforce the sparse component to act as eigenvectors of the spatial and temporal graph Laplacians while minimizing the RPCA objective function. These constraints incorporate a spatiotemporal subspace structure within the sparse component. Thus, we obtain a novel objective function for separating moving objects in the presence of complex backgrounds. The proposed objective function is solved using a linearized alternating direction method of multipliers based batch optimization. Moreover, we also propose an online optimization algorithm for real-time applications. We evaluated both the batch and online solutions using six publicly available data sets that included most of the aforementioned challenges. Our experiments demonstrated the superior performance of the proposed algorithms compared with the current state-of-the-art methods.</P>
Feras Almarshad,Ali Alaklabi,Abdulrahman Al Raizah,Yousof AlZahrani,Somaya Awad Aljohani,Rawaby Khalid AlShammari,Al-zahraa Saleh Al-mahlawi,Abdulaziz Abdullah Alahmary,Mosaad Almegren,Dushad Ram 대한혈액학회 2023 Blood Research Vol.58 No.1
Background In patients with suspected pulmonary embolism (PE), the literature suggests the overuse of computerized tomography pulmonary angiography (CTPA) and underuse of clinical decision rules before imaging request. This study determined the potential for avoidable CTPA using the modified Wells score (mWS) and D-dimer assay in patients with suspected PE. Methods This hospital-based retrospective study analyzed the clinical data of 661 consecutive patients with suspected PE who underwent CTPA in the emergency department of a tertiary hospital for the use of a clinical prediction rule (mWS) and D-dimer assay. The score was calculated retrospectively from the available data in the files of patients who did not have a documented clinical prediction rule. Overuse (avoidable) CTPA was defined as D-dimer negativity and PE unlikely for this study. Results Of 661 patients’ data examined, clinical prediction rules were documented in 15 (2.3%). In total, 422 patients (63.8%) had required information on modified Wells criteria and D-dimer assays and were included for further analysis. PE on CTPA was present in 22 (5.21%) of PE unlikely (mWS ≤4) and 1 (0.24%) of D-dimer negative patients. Thirty patients (7.11%) met the avoidable CTPA (DD negative+PE unlikely) criteria, and it was significantly associated with dyspnea. The value of sensitivity of avoidable CTPA was 100%, whereas the positive predictive value was 90.3%. Conclusion Underutilization of clinical prediction rules before prescribing CTPA is common in emergency departments. Therefore, a mandatory policy should be implemented regarding the evaluation of avoidable CTPA imaging to reduce CTPA overuse.