scholarly journals Assessment of Cu(II) adsorption from water on modified membrane adsorbents using LS-SVM intelligent approach

2016 ◽  
Vol 20 (2) ◽  
pp. 213-219 ◽  
Author(s):  
Ehsan Salehi ◽  
Jafar Abdi ◽  
Mohammad H. Aliei
Keyword(s):  
Modified Membrane ◽  
Intelligent Approach

Neoadjuvant Chemotherapy Induces the Appearance of New Copy Number Aberrations in Breast Tumor and is Associated with Metastasis

2020 ◽  
Vol 20 (9) ◽  
pp. 681-688
Author(s):  
Nikolai V. Litviakov ◽  
Marina K. Ibragimova ◽  
Matvey M. Tsyganov ◽  
Artem V. Doroshenko ◽  
Eugeniy Y. Garbukov ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Copy Number ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Luminal B ◽  
Cell Clones ◽  
Genetic Landscape ◽  
Intelligent Approach

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.

scholarly journals Intelligent Approach for Improvement of BIPV Systems Performance: Case Study

2019 ◽  
Vol 471 ◽  
pp. 112015
Author(s):  
Dan Craciunescu ◽  
Laurentiu Fara ◽  
Ana-Maria Dabija ◽  
Paul Sterian ◽  
Silvian Fara
Keyword(s):  
Intelligent Approach

Intelligent Approach to Automated Star-schema Construction using a Knowledge base

2021 ◽  
pp. 115226
Author(s):  
Non Sanprasit ◽  
Katechan Jampachaisri ◽  
Taravichet Titijaroonroj ◽  
Kraisak Kesorn
Keyword(s):  
Knowledge Base ◽  
Star Schema ◽  
Intelligent Approach

Conical SNA using fuzzy k-medoids based on user experience

2021 ◽  
pp. 002072092098849
Author(s):  
Poonam Rani ◽  
MPS Bhatia ◽  
Devendra K Tayal
Keyword(s):  
Social Networks ◽  
Social Network ◽  
User Experience ◽  
Three Dimensional ◽  
Experimental Results ◽  
Dynamic Parameters ◽  
Clustering Method ◽  
Cone Model ◽  
Intelligent Approach ◽  
Conical Model

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.

Hybrid approach combining EMD, ARIMA and monte carlo for multi-step ahead medical tourism forecasting

2021 ◽  
pp. 1-17
Author(s):  
Nuzhat Fatema ◽  
H Malik ◽  
Mutia Sobihah Binti Abd Halim
Keyword(s):  
Monte Carlo ◽  
Hybrid Model ◽  
Medical Tourism ◽  
Moving Average ◽  
Hybrid Approach ◽  
Mode Decomposition ◽  
Hybrid Forecasting ◽  
Input Variables ◽  
Intelligent Approach

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.

scholarly journals A Novel Intelligent Approach for Dynamic Data Replication in Cloud Environment

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 40240-40254
Author(s):  
Ahmed Awad ◽  
Rashed Salem ◽  
Hatem Abdelkader ◽  
Mustafa Abdul Salam
Keyword(s):  
Data Replication ◽  
Cloud Environment ◽  
Dynamic Data ◽  
Dynamic Data Replication ◽  
Intelligent Approach

scholarly journals Rapid Surface Modification of Ultrafiltration Membranes for Enhanced Antifouling Properties

Membranes ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 401
Author(s):  
Noresah Said ◽  
Ying Siew Khoo ◽  
Woei Jye Lau ◽  
Mehmet Gürsoy ◽  
Mustafa Karaman ◽  
...  
Keyword(s):  
Surface Modification ◽  
Deposition Time ◽  
Plasma Deposition ◽  
Membrane Surface ◽  
Pure Water ◽  
Plasma Modification ◽  
Surface Hydrophilicity ◽  
Water Cleaning ◽  
Modification Method ◽  
Modified Membrane

In this work, several ultrafiltration (UF) membranes with enhanced antifouling properties were fabricated using a rapid and green surface modification method that was based on the plasma-enhanced chemical vapor deposition (PECVD). Two types of hydrophilic monomers—acrylic acid (AA) and 2-hydroxyethyl methacrylate (HEMA) were, respectively, deposited on the surface of a commercial UF membrane and the effects of plasma deposition time (i.e., 15 s, 30 s, 60 s, and 90 s) on the surface properties of the membrane were investigated. The modified membranes were then subjected to filtration using 2000 mg/L pepsin and bovine serum albumin (BSA) solutions as feed. Microscopic and spectroscopic analyses confirmed the successful deposition of AA and HEMA on the membrane surface and the decrease in water contact angle with increasing plasma deposition time strongly indicated the increase in surface hydrophilicity due to the considerable enrichment of the hydrophilic segment of AA and HEMA on the membrane surface. However, a prolonged plasma deposition time (>15 s) should be avoided as it led to the formation of a thicker coating layer that significantly reduced the membrane pure water flux with no significant change in the solute rejection rate. Upon 15-s plasma deposition, the AA-modified membrane recorded the pepsin and BSA rejections of 83.9% and 97.5%, respectively, while the HEMA-modified membrane rejected at least 98.5% for both pepsin and BSA. Compared to the control membrane, the AA-modified and HEMA-modified membranes also showed a lower degree of flux decline and better flux recovery rate (>90%), suggesting that the membrane antifouling properties were improved and most of the fouling was reversible and could be removed via simple water cleaning process. We demonstrated in this work that the PECVD technique is a promising surface modification method that could be employed to rapidly improve membrane surface hydrophilicity (15 s) for the enhanced protein purification process without using any organic solvent during the plasma modification process.

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