Results 211 to 220 of about 2,691,410 (286)

Equivalent of Carbon Dioxide at the Anaerobic Threshold Predicts Acute Exacerbations in Patients with Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study. [PDF]

Int J Chron Obstruct Pulmon Dis
Li Y, Li X, Lin F, Hu X, Liu S, Qiu M, Zhang J, Zhao R, Nie S, Xu B, Yan F, Yu G.   +11 more
europepmc   +1 more source

Machine learning driven many‐objective moving horizon scheduling optimization

AIChE Journal, EarlyView.
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley   +1 more source

Physiological Factors of Exercise Intolerance in Patients With Pectus Excavatum: A Retrospective, Single-Center Study. [PDF]

Cureus
Chen R, Zhang R, Kakavand B.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

A critical review of absorption-driven CO₂ capture and techno-economic feasibility. [PDF]

RSC Adv
Almutairi G, Ahmed Ali FA, Al-Zahrani SA, Alwadai N, Ganesan S, Alsaleh M, Asiri M, Alnassar S, Kumar TV, Padmanabhan S, Saravanan P, Jayakumar S, Kavitha C.   +12 more
europepmc   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Elevated CO₂ reinforces PT11-dependent symbiotic phosphate uptake to reprogram root nutrient acquisition in rice. [PDF]

Proc Natl Acad Sci U S A
Chiu CH, Grønlund M, de Bang TC, Watts-Williams S, Song F, Kelly KA, Jakobsen I, Paszkowski U.   +7 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Mild hyperventilation with preserved exercise capacity in patients with self-reported long-term dyspnea after COVID-19-a prospective cohort study in a primary healthcare setting. [PDF]

Scand J Prim Health Care
Stenberg H, Tufvesson E, Mosén H, Skarping I.   +3 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source