Results 161 to 170 of about 93,882 (259)

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors

AIChE Journal, EarlyView.
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis, G. Loachamín‐Suntaxi, I. G. Aviziotis, E. D. Koronaki, P. P. Filippatos, G. Chatzigiannakis, S. P. A. Bordas, D. Davazoglou, A. G. Boudouvis   +8 more
wiley   +1 more source

AI-driven reconstruction of the evidence architecture of hydrogel-based intervertebral disc repair research. [PDF]

Front Cell Dev Biol
Wang Y, Cheng J, Zhang C, Yan T, Tian Z, Liu J, Li Q, Wang Z.   +7 more
europepmc   +1 more source

Structured sorbents for Direct Air Capture: The impact of materials and chemicals on performance

AIChE Journal, EarlyView.
Abstract Structured sorbents can efficiently process large air volumes required for Direct Air Capture (DAC), but their broad implementation is limited by challenges in producing reproducible and homogeneous materials. This work presents a robust procedure to graft amines onto monolithic sorbents and systematically investigates how CO2$$ {\mathrm{CO ...
Nicole Ferru, Moritz Bischof, Martina Saporito, David Büchner, Quirin Grossmann, Vincent Dufour‐Décieux, Ronny Pini, André Bardow, Marco Mazzotti   +8 more
wiley   +1 more source

Peripheral Intravenous Catheter Complications: A Comparative Analysis of 6 Reference Documents. [PDF]

J Infus Nurs
Mussa B, Cortés Rey N, van Loon FHJ, Munoz Mozas G, Piriou V.   +4 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Seeking global agreement on controlled donation after circulatory determination of death: methodology and definitions of the Bucharest international European Society for Organ Transplantation (ESOT) consensus. [PDF]

Transpl Int
Martin DE, Cillo U, Berman M, Glazier AK, Miñambres E, Opdam H, Pérez-Blanco A, Procaccio F, Siebelink M, Weiss MJ, Domínguez-Gil B, Oniscu GC.   +11 more
europepmc   +1 more source

About the "Mistress" and confessional terminology (to the topic "Dostoevsky and the Old Believers")

, 2019
openaire   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

From <i>pectus</i> to breast: anatomical and semantic gendering of the thorax. [PDF]

Anat Cell Biol
Kim H, Hwang K, Han SH.
europepmc   +1 more source