Results 141 to 150 of about 3,121 (282)

A critical reappraisal of the carotid sinus and carotid bulb: Distinguishing neurohistological function from vascular geometry

The Anatomical Record, EarlyView.
This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose, Nicolae Radu, Mugurel Constantin Rusu   +2 more
wiley   +1 more source

Efficacy and safety of empagliflozin for treating neutropenia and neutrophil dysfunction in paediatric patients with glycogen storage disease type Ib: A systematic review and meta‐analysis

British Journal of Clinical Pharmacology, EarlyView.
Aims Glycogen storage disease type Ib (GSD‐Ib) is a rare genetic disorder causing neutropenia and neutrophil dysfunction in children. G‐CSF has been the primary treatment, but emerging data support the potential of empagliflozin, an SGLT2 inhibitor, as a promising investigational option.
Elizabeth Iwasyk, Ryan Jin, Fabio Tuzzolino, Giusy Ranucci, Donatella Madonia, Alessio Provenzani   +5 more
wiley   +1 more source

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Molecular Dynamics Simulations of γ‐Belite(010)–Water Interfaces With High‐Dimensional Neural Network Potentials

Chemistry – A European Journal, EarlyView.
Several γ$\gamma$‐belite(010)–water interfaces have been studied by molecular dynamics simulations using a high‐dimensional neural network potential. The structure and reactivity of interfacial water have been analyzed and two types of surface defects could be identified, which indicate the possible existence of a wide range of surface structures ...
Bernadeta Prus, Jörg Behler
wiley   +1 more source

Multi-sensor network tracking research utilizing searchable encryption algorithm in the cloud computing environment. [PDF]

PeerJ Comput Sci, 2023
Sun X, Li S.
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

No-Dictionary Searchable Symmetric Encryption

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2019
Wakaha Ogata, Kaoru Kurosawa
openaire   +2 more sources