Metal-Based Nanoparticles for Cardiovascular Diseases DOI Open Access
Alexandru Scafa‐Udriște,

Alexandra Cristina Burdușel,

Adelina-Gabriela Niculescu

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(2), P. 1001 - 1001

Published: Jan. 13, 2024

Globally, cardiovascular diseases (CVDs) are the leading cause of death and disability. While there many therapeutic alternatives available for management CVDs, majority classic strategies were found to be ineffective at stopping or significantly/additionally slowing progression these diseases, they had unfavorable side effects. Numerous metal-based nanoparticles (NPs) have been created overcome limitations, demonstrating encouraging possibilities in treatment CVDs due advancements nanotechnology. Metallic nanomaterials, including gold, silver, iron, come various shapes, sizes, geometries. NPs generally smaller more specialized physical, chemical, biological properties. Metal-based may forms, such as nanoshells, nanorods, nanospheres, studied most. Massive potential applications metal nanomaterial structures include supporting molecular imaging, serving drug delivery systems, enhancing radiation-based anticancer therapy, supplying photothermal transforming effects thermal being compounds with bactericidal, fungicidal, antiviral qualities that helpful diseases. In this context, present paper aims review relevant oxide creating an up-to-date framework aids researchers developing efficient strategies.

Language: Английский

Gaidai-Xing reliability method validation for 10-MW floating wind turbines DOI Creative Commons
Oleg Gaidai, Yihan Xing, Jingxiang Xu

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: May 29, 2023

In contrast to well-known bivariate statistical approach, which is known properly forecast extreme response levels for two-dimensional systems, the research validates innovative structural reliability method, particularly appropriate multi-dimensional responses. The disadvantage of dealing with large system dimensionality and cross-correlation across multiple dimensions not a benefit traditional dependability approaches that deal time series. Since offshore constructions are built handle extremely high wind wave loads, understanding these severe stresses essential, e.g. turbines should be operated least amount inconvenience. first scenario, blade root flapwise bending moment examined, whereas in second, tower bottom fore-aft examined. FAST simulation program was utilized generate empirical moments this investigation load instances activated at under-rated, rated, above-rated speeds. novel conventional methods, does call study function case numerical simulation. As demonstrated work, it now possible assess multi-degree-of-freedom nonlinear failure probability, when only limited measurements available.

Language: Английский

Citations

50

Monocyte-endothelial cell interactions in vascular and tissue remodeling DOI Creative Commons
Mireia Medrano-Bosch, Blanca Simón-Codina, Wladimiro Jiménez

et al.

Frontiers in Immunology, Journal Year: 2023, Volume and Issue: 14

Published: July 7, 2023

Monocytes are circulating leukocytes of innate immunity derived from the bone marrow that interact with endothelial cells under physiological or pathophysiological conditions to orchestrate inflammation, angiogenesis, tissue remodeling. attracted by chemokines and specific receptors precise areas in vessels tissues transdifferentiate into macrophages damage infection. Adherent monocytes infiltrated monocyte-derived locally release a myriad cytokines, vasoactive agents, matrix metalloproteinases, growth factors induce vascular remodeling for propagation inflammatory responses. Infiltrated cooperate tissue-resident during all phases injury, repair, regeneration. Substances released resident serve not only coordinate vessel but cellular interactions as well attracting more (e.g. MCP-1) stimulating nearby TNF-α) expose monocyte adhesion molecules. Prolonged accumulation activation may result alterations extracellular turnover, functions, leakage. In this review, we highlight link between infiltrating regulate special focus on how these contribute such cardiovascular chronic liver diseases.

Language: Английский

Citations

49

Analytical and Computational Modeling for Multi-Degree of Freedom Systems: Estimating the Likelihood of an FOWT Structural Failure DOI Creative Commons
Oleg Gaidai, Jingxiang Xu, Vladimir Yakimov

et al.

Journal of Marine Science and Engineering, Journal Year: 2023, Volume and Issue: 11(6), P. 1237 - 1237

Published: June 16, 2023

Wind turbines and their associated parts are subjected to cyclical loads, such as bending, torque, longitudinal stresses, twisting moments. The novel spatiotemporal reliability technique described in this research is especially useful for high-dimensional structural systems that either measured or numerically simulated during representative observational time span. As study demonstrates, it possible predict risks of dynamic system failure damage given the situ environmental load pattern. an engineering example reliability, authors have chosen 10-MW floating wind responses, under loadings, caused by waves. aim was benchmark a state-of-the-art approach suitable reliable offshore turbines. Existing methods do not easily cope with high dimensionality. advocated enables accurate efficient assessment probability, accounting nonlinearities dimensionality well cross-correlations between different components.

Language: Английский

Citations

48

Lifetime assessment for container vessels DOI
Oleg Gaidai, Vladimir Yakimov, Fang Wang

et al.

Applied Ocean Research, Journal Year: 2023, Volume and Issue: 139, P. 103708 - 103708

Published: Aug. 20, 2023

Language: Английский

Citations

47

Deconvolution approach for floating wind turbines DOI Creative Commons
Zirui Liu, Oleg Gaidai, Jiayao Sun

et al.

Energy Science & Engineering, Journal Year: 2023, Volume and Issue: 11(8), P. 2742 - 2750

Published: May 11, 2023

Abstract Green renewable energy is produced by floating offshore wind turbines (FOWT), a crucial component of the modern industry. It safety concern to accurately evaluate excessive weights while FOWT operates in adverse weather conditions. Under certain water conditions, dangerous structural bending moments may result operational concerns. Using commercial FAST software, study's hydrodynamic ambient wave loads were calculated and converted into loads. This article suggests Monte Carlo‐based engineering technique that, depending on simulations or observations, computationally effective for predicting extreme statistics either load response process. The innovative deconvolution has been thoroughly explained. suggested approach effectively uses entire set data produce clear but accurate estimate severe values fatigue life. In this study, estimated obtained using novel compared identical modified Weibull technique. expected that enhanced new de‐convolution methodology offer dependable correct forecast based overall performance advised due environmental loading.

Language: Английский

Citations

46

Liquid carbon storage tanker disaster resilience DOI
Vladimir Yakimov, Oleg Gaidai, Jingxiang Xu

et al.

Environment Systems & Decisions, Journal Year: 2023, Volume and Issue: 43(4), P. 746 - 757

Published: July 22, 2023

Language: Английский

Citations

46

Floating wind turbines structural details fatigue life assessment DOI Creative Commons
Oleg Gaidai, Vladimir Yakimov, Fang Wang

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Sept. 28, 2023

Abstract Fatigue damage prediction is essential for safety of contemporary offshore energy industrial projects, like wind turbines, that are to be designed sufficiently long operational period time, with minimal disruptions. Offshore structures being withstand environmental loadings due winds and waves. Due accumulated fatigue damage, floating turbines may develop material cracks in their critical locations sooner than expected. Dataset needed an accurate assessment produced by either extensive numerical modeling, or direct measurements. However, reality, temporal length the underlying dataset typically too short provide calculation life. Hence, objective this work contribute development novel methods, making better use limited dataset. In study, in-situ conditions were incorporated assess FWT tower base stresses; then structural cumulative has been assessed. Novel deconvolution extrapolation method introduced it was shown able accurately predict long-term damage. The latter technique validated, using artificially reduced dataset, resulted close calculated from full original Recommended utilize available much more efficiently, compared estimation. Accurate turbine characteristics reliability, design, safety.

Language: Английский

Citations

46

Safety design study for energy harvesters DOI Creative Commons
Oleg Gaidai, Vladimir Yakimov, Fang Wang

et al.

Sustainable Energy Research, Journal Year: 2023, Volume and Issue: 10(1)

Published: Oct. 26, 2023

Abstract Modern offshore and onshore green energy engineering includes harvesting—as a result, extensive experimental investigations, as well safety reliability analysis are crucial for design engineering. For this study, several wind-tunnel experiments under realistic in situ wind speed conditions have been conducted to examine the performance of galloping harvester. Next, novel structural approach is presented here that especially suited multi-dimensional harvesting systems either numerically simulated or analog observed during representative time lapse, yielding an ergodic system record. As demonstrated advocated methodology may be used risk assessment dynamic damage failure. Furthermore, traditional methodologies dealing with series do not easily cope system’s high dimensionality, along nonlinear cross-correlations between components. This study’s objective was assess state-of-the-art method, allowing efficient extraction relevant statistical information, even from limited underlying dataset. The described study aims assist designers when assessing multidimensional failure hazard risks.

Language: Английский

Citations

45

Oil tanker under ice loadings DOI Creative Commons
Oleg Gaidai,

Ping Yan,

Yihan Xing

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: May 29, 2023

As a result of global warming, the area polar pack ice is diminishing, making merchant travel more practical. Even if Arctic thickness reduced in summer, fractured still presenting operational risks to future navigation. The intricate process ship-ice interaction includes stochastic loading on vessel hull. In order properly construct vessel, severe bow forces that arise must be accurately anticipated using statistical extrapolation techniques. This study examines an oil tanker encounters when sailing Ocean. Two stages are taken analysis. Then, FEM program ANSYS/LS-DYNA, force distribution estimated. Second, estimate levels connected with extended return periods, average conditional exceedance rate approach used anticipate forces. vessel's itinerary was planned take advantage weaker ice. result, Ocean passage took meandering route rather than linear one. ship data investigated inaccurate regard encountered by yet skewed region. research intends demonstrate effective application exact reliability particular route.

Language: Английский

Citations

44

4400 TEU cargo ship dynamic analysis by Gaidai reliability method DOI Creative Commons
Oleg Gaidai, Fang Wang, Yu Cao

et al.

Journal of Shipping and Trade, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 2, 2024

Abstract Modern cargo vessel transport constitutes an important part of global economy; hence it is paramount importance to develop novel, more efficient reliability methods for ships, especially if onboard recorded data available. Classic methods, dealing with timeseries, do not have the advantage efficiently system high dimensionality and cross-correlation between different dimensions. This study validates novel structural method suitable multi-dimensional systems versus a well-established bivariate statistical method. An example this was chosen container ship subjected large deck panel stresses during sailing. Risk losing containers, due extreme motions primary concern transport. Due non-stationarity complicated nonlinearities both waves motions, challenging model such phenomenon. In case role dramatically increases, activating effects second higher order. Moreover, laboratory tests may also be questioned. Therefore, measured on actual ships their voyages in harsh weather provides unique insight into statistics motions. aimed at benchmarking validation state-of-the-art method, which enables extraction necessary information about dynamics from time histories. The proposed opens up broad possibilities predicting simply, yet potential failure or damage risks nonlinear dynamic as whole. Note that advocated can used wide range complex engineering systems, thus limited only.

Language: Английский

Citations

41