Results 111 to 120 of about 15,053,099 (290)

Perspective: Hollow Core Optical Fibres for Ultraviolet and Visible Wavelengths

Advanced Science, EarlyView.
Hollow core optical fibres bypass material constraints that limit optical fibres at ultraviolet and visible wavelengths. However, their challenging fabrication has limited their development, and significant gains in performance remain possible. In this perspective we outline approaches to enable the next generation of fibres for shorter wavelengths ...
Robbie Mears, Kerrianne Harrington, Jonathan C. Knight, William J. Wadsworth, James M. Stone, Tim A. Birks   +5 more
wiley   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency, [PDF]

The purpose of this paper is to use Bahadur's asymptotic relative efficiency measure to compare the performance of various tests of autoregressive (AR) versus moving average (MA) error processes in regression models.
Michael McAleer, C. R. McKenzie
core  

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Predicting Step 2 CK Performance Using Automated Feature Selection and Nested Cross-Validation

Journal of Medical Education and Curricular Development
Background Given the recent transition of the USMLE Step 1 exam to a pass/fail system, evaluative emphasis is expected to shift toward the USMLE Step 2 Clinical Knowledge (USMLE-CK) exam, prompting the need for advanced predictive models.
Padraig Mark Healy, Syed Latifi
doaj   +1 more source

Introducing Borsantrazole: A Trifunctional Boron‐Based Pyrazole That Extends the Lifespan of Amyotrophic Lateral Sclerosis Mice

Advanced Science, EarlyView.
Herein we report a boron‐based pyrazole, (Borsantrazole ‐ a small molecule that selectively targets oxidative stress) that significantly increases survival, reduces weight loss, delays disease onset, and affects global protein changes in the SOD1‐G37R mouse model of ALS.
Nitesh Sanghai, Rhonda Kelley, Ying Lao, M. Immanuel Reyes Madlangsakay, Prasanta Paul, M. Alejandra Llanes‐Cuesta, Jun‐Feng Wang, René P. Zahedi, Jiming Kong, Geoffrey K. Tranmer   +9 more
wiley   +1 more source

Comparison of a Linear Mixed Model and Tree-Based Machine Learning Models for Daily Milk Yield Prediction in Dairy Cows During Summer

Information
The expansion of digital technologies in dairy farming (precision dairy farming) has created new opportunities for the systematic use of data, which can lead to more efficient production processes.
Babak Darabighane, Alberto Stanislao Atzori   +1 more
doaj   +1 more source

AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICY UNDER ERROR-TERM NON-NORMALITY [PDF]

This paper explores the impact of error-term non-normality on the performance of the normal-error Generalized Autoregressive Conditional Heteroskedastic (GARCH) model under small and moderate sample sizes.
Ramirez, Octavio A.
core  

High‐Throughput Mechanical Rupture of Nuclear Envelope and the Intracellular Dynamics of Massive Wound Repair

Advanced Science, EarlyView.
A microfluidic device with monolithically integrated nanostructures enables high‐throughput wounding of the cell membrane and nuclear envelope. The spatial distribution of charged multivesicular body protein 4B (CHMP4B) within the cell is mapped before and after wounding, showing involvement in repair of both the cell membrane and nuclear envelope ...
Apresio K. Fajrial, Leyla Akh, Stephanie E. Schneider, Wei Tan, Corey P. Neu, Xiaoyun Ding   +5 more
wiley   +1 more source