Results 221 to 230 of about 229,381 (295)
Meibomian gland atrophy in children with allergic conjunctivitis. [PDF]
He WF +7 more
europepmc +1 more source
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Fringe-Based Structured-Light 3D Reconstruction: Principles, Projection Technologies, and Deep Learning Integration. [PDF]
Zhang Z +8 more
europepmc +1 more source
The role of lipid metabolism in neuronal senescence
Disrupted lipid metabolism, through alterations in lipid species or lipid droplet accumulation, can drive neuronal senescence. However, lipid dyshomeostasis can also occur alongside neuronal senescence, further amplifying tissue damage. Delineating how lipid‐induced senescence emerges in neurons and glial cells, and how it contributes to ageing and ...
Dikaia Tsagkari +2 more
wiley +1 more source
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc +8 more
wiley +1 more source
Polymorph-Induced Reducibility and Electron Trapping Energetics of Nb and W Dopants in TiO<sub>2</sub>. [PDF]
Chaudhari A, Logsdail AJ, Folli A.
europepmc +1 more source
Baseline-free structured light 3D imaging using a metasurface double-helix dot projector. [PDF]
Shen Z, Ni Y, Yang Y.
europepmc +1 more source
Acquiring Aligned Endoscopic and Depth Image Pairs Using Structured-Light Projection, Neural Surfaces and an Electromagnetic Positional Sensor. [PDF]
Furukawa R +3 more
europepmc +1 more source
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems. [PDF]
Chen Y, Chen X, Maleki A, Jalali S.
europepmc +1 more source

