Results 121 to 130 of about 213,745 (334)

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar   +2 more
wiley   +1 more source

European multicentre study on outcome of surgery for sporadic primary hyperparathyroidism

open access: yesBJS (British Journal of Surgery), EarlyView., 2020
Some 5861 patients undergoing first‐time surgery for sporadic primary hyperparathyroidism were registered in the Eurocrine® database between 2015 and 2018. The use of intraoperative parathyroid hormone measurement decreased the risk of conversion and persistent hypercalcaemia.
A. Bergenfelz   +3 more
wiley   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

open access: yesAgribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó   +3 more
wiley   +1 more source

Prognostic Utility of the Preoperative Cachexia Index in Patients Undergoing Emergency Laparotomy

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
The preoperative cachexia index, incorporating muscle mass, nutritional status, and inflammation, predicts in‐hospital and one‐year mortality in patients undergoing emergency laparotomy. This simple index may aid in risk stratification and perioperative decision‐making in high‐risk surgical patients. ABSTRACT Aim Emergency laparotomy is associated with
Naoko Fukushima   +6 more
wiley   +1 more source

The intensity JND comes from Poisson neural noise: Implications for image coding [PDF]

open access: yes, 2000
While the problems of image coding and audio coding have frequently been assumed to have similarities, specific sets of relationships have remained vague.
Allen, Jont
core   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

open access: yesAdvanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet   +9 more
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian   +37 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

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