Results 101 to 110 of about 48,814 (291)
Background/Objectives: Tay–Sachs disease (TSD) is a neurodegenerative disorder caused by a deficiency in β-hexosaminidase A (HexA), which accumulates GM2 gangliosides, primarily in neurons.
Jacky M. Guerrero-Vargas +6 more
doaj +1 more source
A multifunctional and water‐soluble conductive nanocomposite is fabricated by employing tannic acid‐modified MXene as a template to direct the in situ polymerization of poly(3,4‐ethylenedioxythiophene) (PEDOT). The resulting PEDOT nanosheets are uniformly integrated into hydrogel networks, simultaneously imparting stretchability (>800%), strong tissue ...
Huiqi Sun +7 more
wiley +1 more source
Book Review: Brain Damage by Inborn Errors of Metabolism [PDF]
E. F. Scowen
openalex +1 more source
The GeneHunter‐Gene‐Level Association (GH‐GLA) pipeline enables high‐throughput gene identification in an indexed EMS population of wheat cultivar KN9204. It identifies 5905 trait‐associated wheat genes and validates key regulators of kernel weight and spikelet architecture via gene editing and haplotype analysis.
Haojie Wang +16 more
wiley +1 more source
Inborn Errors of Metabolism in Neurology (Wilson's Disease, Refsum's Disease and Lipidoses) [PDF]
J. N. Cumings
openalex +1 more source
This manuscript focused on developing and validating prediction models for PACEs in elderly patients undergoing noncardiac surgery in China, utilizing routine laboratory examination findings. Logistic regression and machine learning algorithms were employed to construct these models.
Xiao Yan Li +8 more
wiley +1 more source
Alpha-ketoadipic aciduria, a new inborn error of lysine metabolism; biochemical studies [PDF]
Hildegard Przyrembel +6 more
openalex +1 more source
ABSTRACT This study combines sensory analysis and stated preference valuation techniques to assess the monetary value of organoleptic attributes of new tomato varieties. The tomatoes evaluated included two new varieties adapted to South Texas growing conditions, a commercial check, and tomatoes imported from Mexico.
Samuel D. Zapata +3 more
wiley +1 more source
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source

