PVT Properties for Yemeni Reservoirs Using an Intelligent Approach

Author(s):  
Salem O. Baarimah ◽  
Abdullah O. Baarimah
2021 ◽  
Vol 1962 (1) ◽  
pp. 012026
Author(s):  
Al-Gathe Abedelrigeeb ◽  
Ahmed El-Banbi ◽  
Kh. A. Abdel Fattah ◽  
K. A. El-Metwally

2020 ◽  
Vol 20 (9) ◽  
pp. 681-688
Author(s):  
Nikolai V. Litviakov ◽  
Marina K. Ibragimova ◽  
Matvey M. Tsyganov ◽  
Artem V. Doroshenko ◽  
Eugeniy Y. Garbukov ◽  
...  

Background: In this study, we examined the CNA-genetic landscape (CNA – copy number aberration) of breast cancer prior to and following neoadjuvant chemotherapy (NAC) and correlated changes in the tumor landscape with chemotherapy efficiency as well as metastasis-free survival. Objective: Breast cancer patients (n = 30) with luminal B molecular subtypes were treated with anthracycline- based therapy. Methods: To study CNAs in breast tumors, microarray analysis was performed. Results: Three effects of NAC on tumor CNA landscape were identified: 1 – the number of CNA-bearing tumor clones decreased following NAC; 2 – there were no alterations in the number of CNA-containing clones after NAC; 3 – the treatment with NAC increased the number of CNA-bearing clones (new clones appeared). All NAC-treated patients who had new tumor clones with amplification (20%) had a 100% likelihood of metastasis formation. In these cases, NAC contributed to the emergence of potential metastatic clones. Our study identified the following loci – 5p, 6p, 7q, 8q, 9p, 10p, 10q22.1, 13q, 16p, 18Chr and 19p – that were amplified during the treatment with NAC and may be the markers of potential metastatic clones. In other patients who showed total or partial elimination of CNA-bearing cell clones, no new amplification clones were observed after NAC, and no evidence of metastases was found with follow-up for 5 years (р = 0.00000). Conclusion: Our data suggest that the main therapeutic result from NAC is the elimination of potential metastatic clones present in the tumor before treatment. The results showed the necessity of an intelligent approach to NAC to avoid metastasis stimulation.


Author(s):  
Dan Craciunescu ◽  
Laurentiu Fara ◽  
Ana-Maria Dabija ◽  
Paul Sterian ◽  
Silvian Fara
Keyword(s):  

2021 ◽  
pp. 115226
Author(s):  
Non Sanprasit ◽  
Katechan Jampachaisri ◽  
Taravichet Titijaroonroj ◽  
Kraisak Kesorn

Author(s):  
Poonam Rani ◽  
MPS Bhatia ◽  
Devendra K Tayal

The paper presents an intelligent approach for the comparison of social networks through a cone model by using the fuzzy k-medoids clustering method. It makes use of a geometrical three-dimensional conical model, which astutely represents the user experience views. It uses both the static as well as the dynamic parameters of social networks. In this, we propose an algorithm that investigates which social network is more fruitful. For the experimental results, the proposed work is employed on the data collected from students from different universities through the Google forms, where students are required to rate their experience of using different social networks on different scales.


2021 ◽  
pp. 1-17
Author(s):  
Nuzhat Fatema ◽  
H Malik ◽  
Mutia Sobihah Binti Abd Halim

This paper proposed a hybrid intelligent approach based on empirical mode decomposition (EMD), autoregressive integrated moving average (ARIMA) and Monte Carlo simulation (MCS) methods for multi-step ahead medical tourism (MT) forecasting using explanatory input variables based on two decade real-time recorded database. In the proposed hybrid model, these variables are 1st extracted then medical tourism is forecasted to perform the long term as well as the short term goal and planning in the nation. The multi-step ahead medical tourism is forecasted recursively, by utilizing the 1st forecasted value as the input variable to generate the next forecasting value and this procedure is continued till third step ahead forecasted value. The proposed approach firstly tested and validated by using international tourism arrival (ITA) dataset then proposed approach is implemented for forecasting of medical tourism arrival in nation. In order to validate the performance and accuracy of the proposed hybrid model, a comparative analysis is performed by using Monte Carlo method and the results are compared. Obtained results shows that the proposed hybrid forecasting approach for medical tourism has outperformance characteristics.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 40240-40254
Author(s):  
Ahmed Awad ◽  
Rashed Salem ◽  
Hatem Abdelkader ◽  
Mustafa Abdul Salam

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