Results 161 to 170 of about 1,638,525 (392)

Microphysiological Glomerular Filtration Barriers: Current Insights, Innovations, and Future Applications

open access: yesAdvanced Biology, EarlyView.
The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran   +5 more
wiley   +1 more source

Quantification of insecticides in commercial seafood sold in East Asian markets: risk assessment for consumers [PDF]

open access: hybrid, 2022
Lucia Ivorra   +4 more
openalex   +1 more source

Intersection Between Local Anesthetics and Cancer Biology: What Now? Where Are We Going?

open access: yesAdvanced Biology, EarlyView.
Local anesthetics (LAs), widely used in anesthesia, may also play a role in cancer treatment by inhibiting tumor growth, reducing metastasis, and enhancing immune responses. They modulate key pathways like AKT/mTOR and RAS/ERK while affecting angiogenesis and tumor innervation and the immune response.
Eduardo Nunez‐Rodriguez   +3 more
wiley   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec   +6 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian   +5 more
wiley   +1 more source

Antecedents of consumer brand loyalty in the Chilean wine industry [PDF]

open access: yes, 2013
The wine industry has become fiercely competitive worldwide, and consumers are increasingly exposed to a wider range of wines in retail outlets. Therefore, wineries need to develop and build consumer loyalty toward their brands.
Bianchi, Constanza, Drennan, Judy
core   +1 more source

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