κ-carrageenan – Gelatin hydrogel embedding carvacrol loaded gold nanobipyramids for treating prostate cancer via fractionated photothermal-chemotherapy DOI
Sirajunnisa Abdul Razack,

Yeong Eun Kim,

Hyun Wook Kang

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: unknown, P. 138974 - 138974

Published: Dec. 1, 2024

Language: Английский

Data-Driven and Machine Learning Prediction of Early Water Breakthrough Time in Naturally Fractured Reservoirs in the Middle East DOI

Sami A. Belkhir,

Younes Alblooshi,

Muhammad Rehan Hashmet

et al.

Published: April 21, 2025

Abstract Effective management of water-driven, Naturally Fractured Reservoirs (NFR) requires minimizing water production. This study compares two predictive approaches—statistical methods, specifically Response Surface Methodology (RSM), and artificial intelligence (AI)—to determine their effectiveness in predicting early breakthrough time (tbt) NFRs. A dataset comprising 261 simulation cases was generated based on design experiments approach, using dual-porosity dual-permeability models, varying key reservoir fracture parameters, including permeability, matrix spacing, storativity ratio, mobility production rate. log transformation applied to normalize the dataset, improving accuracy. The employed RSM for statistical modeling various AI-based approaches, Neural Networks, Optimizable Ensemble Trees, Gaussian Process Regression, trained 80% data tested remaining 20% evaluate performance. log-transformed significantly improved prediction accuracy, with best performing model being Trees a validation Root Mean Square Error (RMSE) 0.51631 Coefficient Determination (R²) 0.86, while its test RMSE 0.50674 an R² 0.90. In comparison, approach produced 0.9392, 0.9261, adjusted 0.8960, predicted 0.8175, Adequate Precision 26.9, indicating strong signal. While provided valuable interpretability parameter sensitivity insights, it struggled complex interactions exhibited higher variability predictions. AI models demonstrated superior capability capturing non-linear relationships between properties rates, making them more reliable practical applications. concludes that given sufficient data, offer robust scalable solution times. integration machine learning (ML) offers enhanced scalability, decision-making potential optimizing strategies fractured reservoirs.

Language: Английский

Citations

0

Machine learning methods for modeling nanofluid flows: a comprehensive review with emphasis on compact heat transfer devices for electronic device cooling DOI

M. S. Abhijith,

K. P. Soman

Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: 149(12), P. 5843 - 5869

Published: June 1, 2024

Language: Английский

Citations

3

Trichogenic Ag2O/CuO Nanoalloys: Biomimetic Synthesis, Physicochemical Characterization, and Plausible Antibacterial Mechanism DOI
Basma A. Omran, Muhammad Fazle Rabbee,

M.O. Abdel-Salam

et al.

Food and Bioprocess Technology, Journal Year: 2024, Volume and Issue: unknown

Published: June 7, 2024

Language: Английский

Citations

3

Nanobiological synthesis of silver oxide-doped titanium oxide bionanocomposite targeting foodborne and phytopathogenic bacteria DOI
Basma A. Omran, Muhammad Fazle Rabbee,

M.O. Abdel-Salam

et al.

Food Bioscience, Journal Year: 2024, Volume and Issue: 61, P. 104790 - 104790

Published: July 23, 2024

Language: Английский

Citations

2

Nanoemulsion Mouthwash Formulation of Bajakah Tampala (Spatholobus littoralis Hassk.) Skin Extract Against Candida albicans DOI Creative Commons
Hasyrul Hamzah, Dede Reza Gunawan, Sylvia Utami Tunjung Pratiwi

et al.

Borneo Journal of Pharmacy, Journal Year: 2024, Volume and Issue: 7(1), P. 1 - 13

Published: Feb. 29, 2024

Candida albicans can cause two infections in humans: superficial and systemic. The ability of C. to infect the host is influenced by virulence factors character changes so that it fool immune system. From change factor, form a biofilm. This study aims determine good concentration inhibiting antifungal antibiofilm activity nanoemulsion mouthwash formulation bajakah tampala (Spatholobus littoralis Hassk) skin extract against albicans. research was conducted with an experimental method. used spontaneous magnetic stirrer technique make preparations. Antifungal tests were carried out dilution method using 96-well plate microplate reader wavelength 620 nm percentage inhibition MIC50 MBIC50. results showed S. inhibited planktonic biofilm 1% expressed as Therefore, could inhibit growth oral cavity.

Language: Английский

Citations

1

Facile preparation of multi-functionalized zwitterionic surfactants for the separation of water in Arabian heavy crude oil emulsions DOI
Abdelrahman O. Ezzat, Hamad A. Al‐Lohedan

Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 412, P. 125875 - 125875

Published: Aug. 27, 2024

Language: Английский

Citations

1

Charge balanced aggregation: A universal approach to aqueous organic nanocrystals DOI
Wenwen Zhao, Qiu Li, Peng He

et al.

Journal of Controlled Release, Journal Year: 2024, Volume and Issue: 375, P. 552 - 573

Published: Sept. 21, 2024

Language: Английский

Citations

1

Ecofriendly Curcumin-Conjugated Copper Oxide Nanoparticles: Targeted Cytotoxicity and Apoptosis in Oral Carcinoma KB Cells DOI
Shahnaz Majeed, Sreenivas Patro Sisinthy,

Anis Sofieyya Binti Sa’ari

et al.

Journal of Inorganic and Organometallic Polymers and Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 15, 2024

Language: Английский

Citations

1

Novel facile and eco-friendly synthesis of magnetite nanoparticles using iron ferrous chloride for enhancing biomedical applications: effect of Gum Arabic coating DOI
Elham Mzwd, Saleh K. Alsaee, Nursakinah Suardi

et al.

Applied Physics A, Journal Year: 2024, Volume and Issue: 130(3)

Published: Feb. 24, 2024

Language: Английский

Citations

0

Using the vector of the ideality of correlation to simulate the zeta potential of nanoparticles under different experimental conditions, represented by quasi-SMILES DOI
Alla P. Toropova, Andrey A. Toropov,

Natalia Sizochenko

et al.

Structural Chemistry, Journal Year: 2024, Volume and Issue: 35(6), P. 1925 - 1935

Published: June 28, 2024

Language: Английский

Citations

0