Results 51 to 60 of about 13,161 (166)
Binuclear Copper‐Dependent Oxidative Enzymes Involved in Fungal Natural Product Modifications
This article summarizes recent biochemical characterizations of a new enzyme family named by the authors as binuclear copper‐dependent oxidative enzymes (BiNCOs). Found in fungal natural product biosynthesis, BiNCOs catalyze diverse CH functionalization reactions, including C(sp3)H halogenation, C(sp3)H hydroxylation, C(sp3)O macrocyclization, and ...
Chen‐Yu Chiang, Masao Ohashi, Yi Tang
wiley +1 more source
Integrated macroscopic, histological, and ultrastructural analyses revealed five distinct lingual papillae types (filiform, fungiform, conical, foliate, and vallate) in the Anatolian wild boar (Sus scrofa libycus). Mechanical papillae showed marked structural specialization, while gustatory papillae exhibited region‐specific distribution of taste buds.
Fatma Işbilir +4 more
wiley +1 more source
Abstract In recent years, the clinical treatment and symptom management of neurological disorders have faced significant challenges due to the high complexity of the nervous system's structure and function. Against this backdrop, physical stimulation techniques have emerged as a vital complementary approach to traditional pharmacological treatments and
Wanying Li, Liqun Chen
wiley +1 more source
An interdisciplinary in situ study of jewelled reliquaries of the True Cross integrates gemmology and portable analytical techniques, revealing new evidence on the identification and symbolic role of peridots and other gemstones. ABSTRACT Jewelled crosses containing relics of the True Cross occupy a central position in the devotional, artistic and ...
Stefania Martiniello +2 more
wiley +1 more source
Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley +1 more source
D2 receptor ablation in indirect‐pathway striatal neurons reduces or abolishes dyskinetic and dystonic behaviors induced by L‐DOPA or D2 receptor agonists, respectively. Contralateral turning is reduced, while forward locomotion is increased. These effects are associated with modulation of neuronal activity in dorsal striatum and external globus ...
Laura Andreoli +5 more
wiley +1 more source
Abstract Background Multidisciplinary care under intestinal rehabilitation programs (IRPs) improves survival in pediatric intestinal failure (IF). Professional societies recommend the management of pediatric patients with IF by an IRP. Whether these recommendations are followed in cases of neonatal IF is currently unclear.
Katie A. Huff +11 more
wiley +1 more source
Abstract Volunteers have been involved in nature observations for decades through citizen science initiatives, providing large data sets as well as problem identification that allow a more complete understanding of many natural phenomena. Although communication is a core component in citizen science, the key factors that determine its effectiveness in ...
Kristiina Gibson +18 more
wiley +1 more source
Needle punching reorients fibers from in‐plane direction toward z‐direction of the web, resulting in mechanical interlocking of fibers and reduction in the nonwoven mat thickness. ABSTRACT Replacement of glass fiber mats, utilized in large and complex composite parts in the transportation industry, with natural fiber mats requires knowledge of natural ...
Md Shadhin +2 more
wiley +1 more source
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci +2 more
wiley +1 more source

