A novel fabricate of iron and nickel-introduced bimetallic MOFs for quickly catalytic degradation via the peroxymonosulfate, antibacterial efficiency, and cytotoxicity assay

Inorganic Chemistry Communications, Год журнала: 2023, Номер 153, С. 110823 - 110823

Опубликована: Май 15, 2023

Язык: Английский

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A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems

Artificial Intelligence in Medicine, Год журнала: 2023, Номер 141, С. 102572 - 102572

Опубликована: Май 3, 2023

Язык: Английский

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Influence of stent-induced vessel deformation on hemodynamic feature of bloodstream inside ICA aneurysms

Biomechanics and Modeling in Mechanobiology, Год журнала: 2023, Номер 22(4), С. 1193 - 1207

Опубликована: Март 22, 2023

Abstract One of the effective treatment options for intracranial aneurysms is stent-assisted coiling. Though, previous works have demonstrated that stent usage would result in deformation local vasculature. The effect simple on blood hemodynamics still uncertain. In this work, hemodynamic features stream four different ICA aneurysm with/without interventional are investigated. To estimate relative impacts vessel deformation, distinctive simulated by one-way FSI technique. Four factors velocity, wall pressure and WSS compared peak systolic stage to disclose impact defamation two conditions. decrease almost all mentioned parameters, except OSI. Stenting reduces neck inflow rate, while was not consistent among aneurysms. an has a strong influence aneurysm. This outcome ignored most preceding investigations, which focused pre-interventional state studying relationship between stents. Present results show application without coiling improve factors, especially when high enough.

Язык: Английский

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Emerging pathways in environmentally friendly synthesis of carbon-based quantum dots for exploring antibacterial resistance

Inorganic Chemistry Communications, Год журнала: 2024, Номер 161, С. 112012 - 112012

Опубликована: Янв. 6, 2024

Язык: Английский

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Stimuli-Activable Metal-Bearing Nanomaterials and Precise On-Demand Antibacterial Strategies

ACS Nano, Год журнала: 2022, Номер 16(12), С. 19840 - 19872

Опубликована: Ноя. 28, 2022

Bacterial infections remain the leading cause of death worldwide today. The emergence antibiotic resistance has urged development alternative antibacterial technologies to complement or replace traditional treatments. In this regard, metal nanomaterials have attracted great attention for their controllable functions that are less prone resistance. This review discusses a particular family stimuli-activable metal-bearing (denoted as SAMNs) and associated on-demand strategies. various SAMN-enabled strategies stem from basic light magnet activation, with addition bacterial microenvironment responsiveness and/or bacteria-targeting selectivity therefore offer higher spatiotemporal controllability. discussion focuses on nanomaterial design principles, mechanisms, performance, well emerging applications desire selective activation (i.e., medical treatments, surface anti-biofilm, water disinfection, wearable materials). concludes authors' perspectives challenges future directions developing industrial translatable next-generation

Язык: Английский

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Investigation of the stent induced deformation on hemodynamic of internal carotid aneurysms by computational fluid dynamics

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Май 2, 2023

Abstract Application of the stent for treatment internal carotid artery (ICA) aneurysms has been extensively increased in recent decades. In present work, stent-induced deformations parent vessel ICA are fully investigated. This study tries to visualize blood stream and calculated hemodynamic factors inside four after vessel. For simulation non-Newtonian stream, computational fluid dynamic is applied with one-way Fluid–Solid interaction (FSI) approach. Four different ostium sizes neck angle selected this investigation. Wall shear stress on wall aneurysm analyzed two angles deformation due application stent. Blood flow investigation shows that limited entrance sac region decreases velocity consequently oscillatory index (OSI) wall. It also observed more effective those cases extraordinary OSI values

Язык: Английский

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Analysis of XGaO3 (X = Ba and Cs) cubic based perovskite materials for photocatalytic water splitting applications: a DFT study

Heliyon, Год журнала: 2023, Номер 9(3), С. e14112 - e14112

Опубликована: Фев. 26, 2023

Energy conversion has become an important technology for meeting energy production and consumption in the modern era. Water splitting solar cell technologies are projected to close gap between demand consumption. Therefore, XGaO3 (X = Ba Cs) compounds having characteristics i.e., electrical, optical, mechanical, structural depicted by using a density functional theory (DFT) based CASTEP software with ultrasoft pseudo-potential plane-wave Generalized Gradient Approximation Perdew Burke Ernzerhof exchange correlation (GGA-PBE). According findings, all of these have cubic "pm3m" structure space group 221. The CsGaO3 BaGaO3 direct indirect band gaps, respect electronic band-structure recreations. Density states like total (TDOS) partial (PDOS) commend extent localization electrons numerous bands. optical properties explored adjusting dispersion curve/relation theoretical dielectric function (DF) scale corresponding peaks. As result, materials could be used consume light visible zone via photo catalysis. combination can produce effective results, so remarkable potential application sensing water splitting.

Язык: Английский

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Diagnostic ability of deep learning in detection of pancreatic tumour

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Июнь 15, 2023

Pancreatic cancer is associated with higher mortality rates due to insufficient diagnosis techniques, often diagnosed at an advanced stage when effective treatment no longer possible. Therefore, automated systems that can detect early are crucial improve and outcomes. In the medical field, several algorithms have been put into use. Valid interpretable data essential for therapy. There much room cutting-edge computer develop. The main objective of this research predict pancreatic using deep learning metaheuristic techniques. This aims create a techniques-based system by analyzing imaging data, mainly CT scans, identifying vital features cancerous growths in pancreas Convolutional Neural Network (CNN) YOLO model-based CNN (YCNN) models. Once diagnosed, disease cannot be effectively treated, its progression unpredictable. That's why there's push recent years implement fully sense prior treatment. paper evaluate effectiveness novel YCNN approach compared other modern methods predicting cancer. To from scan proportion feasts threshold parameters booked as markers. employs called network model images. addition, we use aid categorization process. Both biomarkers image dataset used testing. method was shown perform well cent percent accuracy techniques thorough review comparative findings.

Язык: Английский

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Comprehensive Insights into Oral Squamous Cell Carcinoma: Diagnosis, Pathogenesis, and Therapeutic Advances

Pathology - Research and Practice, Год журнала: 2024, Номер 261, С. 155489 - 155489

Опубликована: Июль 27, 2024

Язык: Английский

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Highly efficient tin oxide and polyaniline-tin-oxide nanostructured materials for photocatalytic degradation of organic dyes

Journal of Molecular Structure, Год журнала: 2024, Номер 1312, С. 138454 - 138454

Опубликована: Апрель 28, 2024

Язык: Английский

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