Results 61 to 70 of about 24,611 (285)

Intrinsically Mitochondria‐Targeting Nanozyme via Coordination‐Assembly of Natural Quercetin for Cascade Antioxidant Therapy of Cerebral Ischemia‐Reperfusion Injury

Advanced Science, EarlyView.
This study uncovers that quercetin naturally targets mitochondria. By coordinating quercetin with Fe3+, we engineer an ultrasmall cascade nanozyme (MCN) with superoxide dismutase‐catalase activities. MCN crosses the damaged blood–brain barrier, scavenges mitochondrial ROS, prevents mitochondrial DNA leakage, and blocks the cGAS‐STING pathway, thereby ...
Wenxuan Zheng, Zhicheng Wang, Xin Zhou, Shuya Wang, Xiaojing Shi, Tingli Xiong, Ruishi Li, Yuting Lin, Zhen Chen, Jiawen Wei, Fei Li, Jinwen Ge, Kelong Ai, Chong Liu, Guiming Deng   +14 more
wiley   +1 more source

Complex Iridium Oxides Converge In Structure And Reactivity During Acidic Oxygen Evolution Electrocatalysis

Advanced Energy Materials, EarlyView.
Ir‐based double perovskites restructure during acidic oxygen evolution electrocatalysis through dissolution of non‐Ir cations and convergence toward IrOx active‐site motifs with similar structure and intrinsic activity across compositions. The identity of the dissolving cations controls dissolution and surface reconstruction kinetics, clarifying how ...
Harrison H. Lippie, Xun Zhan, Kevin C. Matthews, Arya M. Balasubramanian, Jamie H. Warner, Joaquin Resasco   +5 more
wiley   +1 more source

HISTOLOGICAL AND MORPHOLOGICAL CHANGES IN THE SKIN AND COAT OF BARKI LAMBS AS AFFECTED BY SALINE WATER AND GROWTH PROMOTER [PDF]

Journal of Animal and Poultry Production, 2003
This study was carried out to investigate the effect of saline water and flavomycin as a growth promoter on the wool follicle activities and some wool characteristics in Barki sheep.
A. Hammam, M. EI-Sherif, A. Azam, S. Abou EL-Ezz, N. EI-Sayed,   +4 more
doaj   +1 more source

Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková, Michiel van Dijk, Robert M'Barek, Hans van Meijl, Tomas Ratinger   +4 more
wiley   +1 more source

The ratio of structural proteins in the wool of sheep of different breeds and with different categories of fibers depending on the zones of their breeding

Біологія тварин
Wool fiber consists of a complex of protein-keratins, which differ in both their physical and chemical properties and functional characteristics. Despite the progress achieved in the study of the structural organization of fibers, the issue of the ...
P. V. Stapay, T. V. Buslyk, V. V. Mykhaliuk, N. P. Stakhiv, O. O. Smolyaninova, I. V. Nevostruyeva, R. G. Sachko, А. V. Skorokhid, N. I. Pakholkiv   +8 more
doaj   +1 more source

Supply Chain Management: A 'First Principles' Consideration of its Application to Wool Marketing [PDF]

, 2001
This paper examines the differential characteristics of commodities and products and their respective marketing systems. It identifies the circumstances under which wool and/or its derivatives might be classified as either a commodity or a product and ...
Champion, S., Fearne, Andrew
core  

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Wool-reinforced cement based composites [PDF]

, 2020
In this paper, an overview of the latest research activities in the field of cement-based composites incorporating sheep wool reinforcement is presented. First, the characteristics of this type of natural fibre are described.
Jozwiak-Niedzwiedzka D., Fantilli A. P., Daria Jóźwiak-Niedźwiedzka, Alessandro P. Fantilli   +3 more
core   +1 more source

The Role of Intraparticle Diffusion in Kinetic Model Discrimination: Proof of Concept Testing for Methanol Dehydration

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The rate of a heterogeneous catalytic process may simultaneously be described by several rate equations. In this case, discrimination between the plausible kinetic models is required. An intrinsic kinetic model of a heterogeneous catalytic process may successively be discriminated by the transition from a reaction rate‐limited regime to an ...
Oleksii Zhokh, Andrii Trypolskyi, Peter Strizhak   +2 more
wiley   +1 more source