Waste management and water quality evaluation prediction in urban environments through advanced robust hybrid machine learning algorithms DOI
Suhail H. Serbaya

Dynamics of Atmospheres and Oceans, Год журнала: 2024, Номер unknown, С. 101495 - 101495

Опубликована: Сен. 1, 2024

Язык: Английский

Green solutions for blue waters: Using biomaterials to purify water from microplastics and nanoplastics DOI
Vafa Fakhri, Ali Hamzehlouy,

Atieh Janmaleki Dehchani

и другие.

Journal of Water Process Engineering, Год журнала: 2024, Номер 65, С. 105854 - 105854

Опубликована: Июль 23, 2024

Язык: Английский

Процитировано

22

Bending responses of graphene nanoplatelets reinforced sandwich cylindrical micro panel with piezoelectric layers DOI
Qian Zhang,

Mingchao Xie,

Dianyi Zhou

и другие.

Mechanics of Advanced Materials and Structures, Год журнала: 2024, Номер unknown, С. 1 - 16

Опубликована: Авг. 4, 2024

Bending responses of a nanocomposite-reinforced cylindrical panel are studied in this article. A shell is assumed micro scale and sandwiched by piezoelectric layers. In article, micro-size dependent theory named as the modified couple stress (MCST) analytically employed kinematic relations extended through employing shear deformable model order to investigate electroelastic bending three-layered micro-shell bonded between smart layers subjected an applied voltage, external internal pressures. The rested on two parametrically elastic foundation. develop constitutive relations, mixture's rule well Halpin-Tsai utilized compute governing equations. Electroelastostatic obtained trigonometric functions. large parametric analysis presented explore deflection with change thickness layer radius, length radius ratio, different characteristics nanoplatelet reinforcement for both pressure. proposed composite electromechanical structure may be used structures systems. controllable system can suggested usage graphene nanoplatelets because flexibility affecting parameters.

Язык: Английский

Процитировано

22

Nanogels in Biomedical Engineering: Revolutionizing Drug Delivery, Tissue Engineering, and Bioimaging DOI

Atieh Janmaleki Dehchani,

Aliakbar Jafari, Farangis Shahi

и другие.

Polymers for Advanced Technologies, Год журнала: 2024, Номер 35(10)

Опубликована: Окт. 1, 2024

ABSTRACT Nanogels represent a significant innovation in the fields of nanotechnology and biomedical engineering, combining properties hydrogels nanoparticles to create versatile platforms for drug delivery, tissue bioimaging, other applications. These nanoscale hydrogels, typically ranging from 10 1000 nm, possess unique characteristics such as high water content, biocompatibility, ability encapsulate both hydrophilic hydrophobic molecules. The review explores synthesis, structural configurations, stimuli‐responsive nature nanogels, highlighting their adaptability targeted including across challenging barriers like blood–brain barrier. Furthermore, paper delves into applications particularly delivery systems, demonstrating potential revolutionize these fields. Despite promising preclinical results, challenges remain translating technologies clinical practice, issues related stability, scalability, regulatory approval. concludes by discussing future perspectives, emphasizing need further research optimize ultimately aiming enhance efficacy safety settings.

Язык: Английский

Процитировано

12

Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming DOI

Laiba Khawaja,

Muhammad Faisal Javed, Usama Asif

и другие.

Structures, Год журнала: 2024, Номер 66, С. 106837 - 106837

Опубликована: Июль 1, 2024

Язык: Английский

Процитировано

11

The role of graphene quantum dots in cutting‐edge medical therapies DOI

Kosar Arab,

Aliakbar Jafari, Farangis Shahi

и другие.

Polymers for Advanced Technologies, Год журнала: 2024, Номер 35(9)

Опубликована: Сен. 1, 2024

Abstract Graphene quantum dots (GQDs), owing to their unique optical, electrical, and chemical properties, have emerged as promising nanomaterials for various biomedical applications. This review provides a comprehensive overview of the latest advancements in utilization GQDs tissue engineering, wound healing, drug delivery systems, other therapies. The inherent properties GQDs, including high biocompatibility, tunable photoluminescence, significant surface area, make them ideal candidates enhancing medical treatments diagnostics. In improve mechanical biological performance scaffolds, promoting cell proliferation differentiation. For enhance antimicrobial activity facilitate faster regeneration. Their potential DDS is highlighted by ability deliver therapeutic agents efficiently, ensuring targeted controlled release. Additionally, play crucial role therapies, particularly cancer treatment, efficacy reducing side effects. While offer diagnostics, challenges such understanding long‐term cytotoxicity at higher concentrations, need standardized synthesis methods remain critical areas further research. also discusses future directions opportunities emphasizing transformative advancing modern healthcare solutions. insights presented here contribute expanding field GQD research, highlighting significantly patient outcomes drive innovations.

Язык: Английский

Процитировано

11

Soft computing models for prediction of bentonite plastic concrete strength DOI Creative Commons
Waleed Bin Inqiad, Muhammad Faisal Javed, Kennedy C. Onyelowe

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 5, 2024

Bentonite plastic concrete (BPC) is extensively used in the construction of water-tight structures like cut-off walls dams, etc., because it offers high plasticity, improved workability, and homogeneity. Also, bentonite added to mixes for adsorption toxic metals. The modified design BPC, as compared normal concrete, requires a reliable tool predict its strength. Thus, this study presents novel attempt at application two innovative evolutionary techniques known multi-expression programming (MEP) gene expression (GEP) boosting-based algorithm AdaBoost 28-day compressive strength ( ) BPC based on mixture composition. MEP GEP algorithms expressed their outputs form an empirical equation, while failed do so. were trained using dataset 246 points gathered from published literature having six important input factors predicting. developed models subject error evaluation, results revealed that all satisfied suggested criteria had correlation coefficient (R) greater than 0.9 both training testing phases. However, surpassed terms accuracy demonstrated lower RMSE 1.66 2.02 2.38 GEP. Similarly, objective function value was 0.10 0.176 0.16 MEP, which indicated overall good performance techniques. Shapley additive analysis done model gain further insights into prediction process, cement, coarse aggregate, fine aggregate are most predicting BPC. Moreover, interactive graphical user interface (GUI) has been be practically utilized civil engineering industry

Язык: Английский

Процитировано

10

Stretchable Electronics: Advances in Elastic Conductive Fibers for Multifunctional Applications DOI
Aliakbar Jafari

Organic Electronics, Год журнала: 2024, Номер unknown, С. 107145 - 107145

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

10

Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches DOI Creative Commons

Laiba Khawaja,

Usama Asif, Kennedy C. Onyelowe

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 6, 2024

Accurately predicting the Modulus of Resilience (MR) subgrade soils, which exhibit non-linear stress–strain behaviors, is crucial for effective soil assessment. Traditional laboratory techniques determining MR are often costly and time-consuming. This study explores efficacy Genetic Programming (GEP), Multi-Expression (MEP), Artificial Neural Networks (ANN) in forecasting using 2813 data records while considering six key parameters. Several Statistical assessments were utilized to evaluate model accuracy. The results indicate that GEP consistently outperforms MEP ANN models, demonstrating lowest error metrics highest correlation indices (R2). During training, achieved an R2 value 0.996, surpassing (R2 = 0.97) 0.95) models. Sensitivity SHAP (SHapley Additive exPlanations) analysis also performed gain insights into input parameter significance. revealed confining stress (21.6%) dry density (26.89%) most influential parameters MR. corroborated these findings, highlighting critical impact on predictions. underscores reliability as a robust tool precise prediction applications, providing valuable performance significance across various machine-learning (ML) approaches.

Язык: Английский

Процитировано

9

Solubility measurement of Ceftriaxone sodium in SC-CO2 and thermodynamic modeling using PR-KM EoS and vdW mixing rules with semi-empirical models DOI Creative Commons
Gholamhossein Sodeifian, Hamidreza Bagheri, Mohsen Ashjari

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 61, С. 105074 - 105074

Опубликована: Сен. 1, 2024

The complete investigation of the solubility Ceftriaxone sodium drug has not yet been conducted. This communication investigates in supercritical CO2 (SC-CO2) for first time. measurements were performed using utilizing UV-vis analysis under different operation conditions (at P (bar) = 120-270 and T (K) 308-338). results demonstrated that ranged from 0.90 × 10-6 to 8.01 10-6. mole fraction increases proportionally with an increase pressure, while maintaining a constant temperature. However, crossover was noted. behavior SC-CO2 modeled by Peng-Robinson equation state (PR EoS) Kwak-Mansoori van der Waals mixing rules seven semi-empirical correlations (Bian et al., Kumar-Johnston, Chrastil, Garlapati-Madras, Bartle Sung-Shim Sodeifian al.,). vaporization, total solvation enthalpies sodium/SC-carbon dioxide system obtained KJ, al. correlations. evaluation two methods absolute average relative deviation (AARD%). Both models exhibited satisfactory level agreement experimental data. Finally, PR/KM EoS Chrastil models, AARD% values 8.70% 8.10% respectively, showed superior precision accurately fitting

Язык: Английский

Процитировано

9

Complex coacervate of wheat germ protein/high methoxy pectin in encapsulation of d-limonene DOI Creative Commons

Hamed Jamshidian,

Ali Rafe

Chemical and Biological Technologies in Agriculture, Год журнала: 2024, Номер 11(1)

Опубликована: Апрель 27, 2024

Abstract d -limonene is a volatile compound widely used in food flavorings, but it chemically unstable the presence of air, light, moisture, and high temperatures. Coacervation well-established technique which involves formation biopolymer nanocomplexes between negatively charged polysaccharides positively proteins to protect bioactive components. The study shows effect pH, protein/polysaccharide ratio total concentration on complex coacervation defatted wheat germ protein (DWGP) apple pectin (high methoxyl (HMP)) industry as carrier delivery system for -limonene. DWGP was first time form coacervate with pectin. Turbidity, ζ-potential particle size their individual biopolymers were examined preliminary assays coacervation. optimum condition DWGP/pectin found be at 4:1 1% pH 4.0. rheological properties DWGP, pectin, measured various levels ratios. resulting coacervates, microencapsulate -limonene, underwent spray-dried characterized using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) X -ray diffraction (XRD) measurements. These findings have potential contribute development coacervates effective systems aromas or compounds. Graphical

Язык: Английский

Процитировано

8