These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 34343916)

  • 21. Modeling and Sensitivity Analysis of the Forward Osmosis Process to Predict Membrane Flux Using a Novel Combination of Neural Network and Response Surface Methodology Techniques.
    Jawad J; Hawari AH; Zaidi SJ
    Membranes (Basel); 2021 Jan; 11(1):. PubMed ID: 33478084
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Pt-catalyzed ozonation of aqueous phenol solution using high-gravity rotating packed bed.
    Chang CC; Chiu CY; Chang CY; Chang CF; Chen YH; Ji DR; Tseng JY; Yu YH
    J Hazard Mater; 2009 Sep; 168(2-3):649-55. PubMed ID: 19395157
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Degradation of bisphenol A by persulfate coupled with dithionite: Optimization using response surface methodology and pathway.
    Song W; Li J; Wang Z; Fu C; Zhang X; Feng J; Xu Z; Song Q
    Sci Total Environ; 2020 Jan; 699():134258. PubMed ID: 31522056
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predicting coagulation-flocculation process for turbidity removal from water using graphene oxide: a comparative study on ANN, SVR, ANFIS, and RSM models.
    Ghasemi M; Hasani Zonoozi M; Rezania N; Saadatpour M
    Environ Sci Pollut Res Int; 2022 Oct; 29(48):72839-72852. PubMed ID: 35616836
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Study on transformation and degradation of bisphenol A by Trametes versicolor laccase and simulation of molecular docking.
    Hongyan L; Zexiong Z; Shiwei X; He X; Yinian Z; Haiyun L; Zhongsheng Y
    Chemosphere; 2019 Jun; 224():743-750. PubMed ID: 30851526
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Modeling and optimization of heterogeneous photo-Fenton process with response surface methodology and artificial neural networks.
    Kasiri MB; Aleboyeh H; Aleboyeh A
    Environ Sci Technol; 2008 Nov; 42(21):7970-5. PubMed ID: 19031889
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Response Surface Methodology and Artificial Neural Network Modelling of Membrane Rotating Biological Contactors for Wastewater Treatment.
    Irfan M; Waqas S; Arshad U; Khan JA; Legutko S; Kruszelnicka I; Ginter-Kramarczyk D; Rahman S; Skrzypczak A
    Materials (Basel); 2022 Mar; 15(5):. PubMed ID: 35269163
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of response surface methodology and artificial neural network approach towards efficient ultrasound-assisted biodiesel production from muskmelon oil.
    Maran JP; Priya B
    Ultrason Sonochem; 2015 Mar; 23():192-200. PubMed ID: 25457517
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Removal of naphthalene in Brij 30-containing solution by ozonation using rotating packed bed.
    Chiu CY; Chen YH; Huang YH
    J Hazard Mater; 2007 Aug; 147(3):732-7. PubMed ID: 17316988
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Response surface methodology and artificial neural network for remediation of acid orange 7 using TiO
    Zulfiqar M; Chowdhury S; Omar AA; Siyal AA; Sufian S
    Environ Sci Pollut Res Int; 2020 Sep; 27(27):34018-34036. PubMed ID: 32557068
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Assessment of metal extraction from e-waste using supported IL membrane with reliable comparison between RSM regression and ANN framework.
    Hemmati A; Asadollahzadeh M; Torkaman R
    Sci Rep; 2024 Feb; 14(1):3882. PubMed ID: 38366075
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Modelling and Optimizing Pyrene Removal from the Soil by Phytoremediation using Response Surface Methodology, Artificial Neural Networks, and Genetic Algorithm.
    Mohammadi F; Samaei MR; Azhdarpoor A; Teiri H; Badeenezhad A; Rostami S
    Chemosphere; 2019 Dec; 237():124486. PubMed ID: 31398609
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Response Methodology Optimization and Artificial Neural Network Modeling for the Removal of Sulfamethoxazole Using an Ozone-Electrocoagulation Hybrid Process.
    Nghia NT; Tuyen BTK; Quynh NT; Thuy NTT; Nguyen TN; Nguyen VD; Tran TKN
    Molecules; 2023 Jun; 28(13):. PubMed ID: 37446780
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study.
    Hussain S; Khan H; Gul S; Steter JR; Motheo AJ
    Chemosphere; 2021 Aug; 276():130151. PubMed ID: 34088079
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Optimization of culture medium and modeling of curdlan production from Paenibacillus polymyxa by RSM and ANN.
    Rafigh SM; Yazdi AV; Vossoughi M; Safekordi AA; Ardjmand M
    Int J Biol Macromol; 2014 Sep; 70():463-73. PubMed ID: 25062991
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Ozonation for the removal of bisphenol A.
    Mutseyekwa ME; Doğan Ş; Pirgalıoğlu S
    Water Sci Technol; 2017 Nov; 76(9-10):2764-2775. PubMed ID: 29168716
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Modeling and optimization of tannase production with
    Selvaraj S; Vytla RM; Vijay GS; Natarajan K
    3 Biotech; 2019 Jul; 9(7):259. PubMed ID: 31192084
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Biodegradation of endocrine disruptor Bisphenol A by Pseudomonas putida strain YC-AE1 isolated from polluted soil, Guangdong, China.
    Eltoukhy A; Jia Y; Nahurira R; Abo-Kadoum MA; Khokhar I; Wang J; Yan Y
    BMC Microbiol; 2020 Jan; 20(1):11. PubMed ID: 31931706
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparative study of ANN and RSM for simultaneous optimization of multiple targets in Fenton treatment of landfill leachate.
    Sabour MR; Amiri A
    Waste Manag; 2017 Jul; 65():54-62. PubMed ID: 28396167
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Ozonation characteristics of bisphenol A in water.
    Lee J; Park H; Yoon J
    Environ Technol; 2003 Feb; 24(2):241-8. PubMed ID: 12666793
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.