Results 101 to 110 of about 11,004 (302)
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Nasal polyps show decreased mucociliary transport despite vigorous ciliary beating
Objective: Mucociliary transport function in the airway mucosa is essential for maintaining a clean mucosal surface. This function is impaired in upper and lower airway diseases.
Thi Nga Nguyen +4 more
doaj +1 more source
Colonization of the middle turbinate
European Annals of Otorhinolaryngology, Head and Neck Diseases - Vol. 135 - N° 1 - p.
C, Djian +3 more
openaire +2 more sources
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Hypertrophied turbinates managed by Kshara karma
Nasal obstruction is the most common complaint of patients in ENT practice. In Ayurveda, this condition is explained under the name “Nasanaha” (~nasal obstruction).
Akshata Nara, Manoj Kumar Singh
doaj +1 more source
Nasal turbinates play an important role in nasal physiology. These functions include the important function of particle filtration by the mucocilliary system.
Ieda Millas +4 more
doaj +1 more source
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
Unpacking the Farmland Capitalization Effect of Ethanol Establishment
ABSTRACT We unpack the impact of expansions in ethanol production—as measured by proximity to newly constructed ethanol plants and capacity expansions—on farmland values using land transaction data from Kansas in combination with modern causal inference techniques.
Gabriel S. Sampson, Jisang Yu
wiley +1 more source

