Results 241 to 250 of about 273,560 (330)
Analysis of male reproductive parameters in a murine model of mucopolysaccharidosis type I (MPS I).
do Nascimento Cc +2 more
openalex +1 more source
ABSTRACT In utero interventions are transformative in addressing genetic and anatomic conditions during fetal development. Next generation sequencing enables early genetic testing, playing a pivotal role in prenatal decision‐making by supporting risk stratification, precise and timely diagnosis, which directly informs eligibility for fetal surgical and
Matthew A. Shear +7 more
wiley +1 more source
Membrane-associated periodic skeleton regulates major forms of endocytosis in neurons through a signaling-driven positive feedback loop. [PDF]
Fei J +4 more
europepmc +1 more source
Exploring biofiber properties and their influence on biocomposite tensile properties
The study measured the physical, flow and chemical properties of 10 biofibers. It characterized the tensile properties of derived biocomposites and linked them using regression models, showing robust predictive performance. Abstract Biofibers serve as effective reinforcements for neat polylactic acid (PLA) in biocomposites, offering an attractive ...
Oluwafemi A. Oyedeji +5 more
wiley +1 more source
Emerging cardiovascular risks of micro- and nanoplastics: toxic effects and mechanistic pathways. [PDF]
Liu G +7 more
europepmc +1 more source
Dental composites: a comprehensive review on formulation, properties and recent developments
Dental composites are essential in modern restorative dentistry; this review covers their development, composition, key properties and recent advances, highlighting new technologies for optimizing materials and improving clinical outcomes. Abstract Dental composites have evolved considerably since their introduction, becoming the cornerstone of modern ...
Rayenne Latoui +2 more
wiley +1 more source
Reclaiming multi-contaminated soil: melatonin alleviates cadmium and microplastic toxicity to restore rice growth and yield. [PDF]
Zhiming X +5 more
europepmc +1 more source
Universal Phase Identification of Block Copolymers From Physics‐Informed Machine Learning
ABSTRACT Block copolymers play a vital role in materials science due to their diverse self‐assembly behavior. Traditionally, exploring the block copolymer self‐assembly and associated structure–property relationships involve iterative synthesis, characterization, and theory, which is labor‐intensive both experimentally and computationally.
Xinyi Fang +6 more
wiley +1 more source

