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CIM to PIM Transformation in MDA : from Service-Oriented Business Models to Web-Based Design Models
Yassine Rhazali,Youssef Hadi,Abdelaziz Mouloudi 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.4
Models transformation is the main key of MDA. The first transformation in MDA is CIM to PIM transformation, the second is PIM to PSM transformation. Most searches deal the transformation from PIM level to PSM level, since there are multiple common points between these two levels. However, the transformation from CIM level to PIM level is rarely addressed in search subjects because they are two distinct levels. Our objective in this paper is to represent an approach that allows controlling transformation from CIM level to PIM level in accordance with the MDA approach. More precisely, we propose a methodology for transforming service-oriented business models, to web-based design models. Despite the importance of service-oriented models and web-based models, the transformation between them is not addressed in MDA researches. Our methodology is based on creating a good CIM models service-oriented, through construction rules, to facilitate transformation towards PIM models web-based. Next, our transformation rules allow a semi-automatic transformation from CIM to PIM. Our approach conforms to MDA recommendations, because it allows considering the business dimension in the CIM level, and it allows modeling this latter level by using SoaML, the OMG standard for modeling services. However, we based on UML 2 to model PIM level, because UML is advocated by MDA in PIM level. Our proposal results a set of web-based design models from service-oriented business models, through semi-automatic transformation in accordance with MDA approach.
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Maane, Imane Abdellaoui,El Hadi, Hicham,Qmichou, Zineb,Al Bouzidi, Abderrahmane,Bakri, Youssef,Sefrioui, Hassan,Dakka, Nadia,Moumen, Abdeladim Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.12
Prostate cancer (PCa) remains one of the most widespread and perplexing of all human malignancies. Assessment of gene expression is thought to have an important impact on cancer diagnosis, prognosis and therapeutic decisions. In this context, we explored combined expression of PCa related target genes AMACR and PCA3 in 126 formalin fixed paraffin embedded prostate tissues (FFPE) from Moroccan patients, using quantitative real time reverse transcription-PCR (RT-qPCR). This quantification required data normalization accomplished using stably expressed reference genes (RGs). A panel of twelve RG was assessed, data being analyzed using GenEx V6 based on geNorm, NormFinder and statistical methods. Accordingly, the hnRNP A1 gene was identified and selected as the most stably expressed RG for reliable and accurate gene expression quantification in prostate tissues. The ratios of both PCA3 and AMACR gene expression relative to that of the hnRNP A1 gene were calculated and the performance of each target gene for PCa diagnosis was evaluated using receiver-operating characteristics. PCA3 and AMACR mRNA quantification based on RT-qPCR may prove useful in PCa diagnosis. Of particular interesting, combining PCA3 and AMACR quantification improved PCa prediction by increasing sensitivity with retention of good specificity.
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Wankhade Bhushan Sudhakar,Alrais Zeyad Faoor,Ghaya Zeyad Alrais,Hadi Ammar Mohamed Abdel,Naidu Gopala Arun Kumar,Abbas Mohammed Shahid,Kheir Ahmed Tarek Youssef Aboul,Hadad Hasan,Sharma Sundareswaran 대한중환자의학회 2023 Acute and Critical Care Vol.38 No.2
Background Polytrauma from road accidents is a common cause of hospital admissions and deaths, frequently leading to acute kidney injury (AKI) and impacting patient outcomes. Methods This retrospective, single-center study included polytrauma victims with an Injury Severity Score (ISS) >25 at a tertiary healthcare center in Dubai. Results The incidence of AKI in polytrauma victims is 30.5%, associated with higher Carlson comorbidity index (P=0.021) and ISS (P=0.001). Logistic regression shows a significant relationship between ISS and AKI (odds ratio [OR], 1.191; 95% confidence interval [CI], 1.150–1.233; P<0.05). The main causes of trauma-induced AKI are hemorrhagic shock (P=0.001), need for massive transfusion (P<0.001), rhabdomyolysis (P=0.001), and abdominal compartment syndrome (ACS; P<0.001). On multivariate logistic regression AKI can be predicated by higher ISS (OR, 1.08; 95% CI, 1.00–1.17; P=0.05) and low mixed venous oxygen saturation (OR, 1.13; 95% CI, 1.05–1.22; P<0.001). The development of AKI after polytrauma increases length of stay (LOS)-hospital (P=0.006), LOS-intensive care unit (ICU; P=0.003), need for mechanical ventilation (MV) (P<0.001), ventilator days (P=0.001), and mortality (P<0.001). Conclusions After polytrauma, the occurrence of AKI leads to prolonged hospital and ICU stays, increased need for mechanical ventilation, more ventilator days, and a higher mortality rate. AKI could significantly impact their prognosis.
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