Results 61 to 70 of about 28,366 (229)

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

Flavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin, Romain Krafft, Sylvain Antoniotti, Sébastien Fiorucci   +3 more
wiley   +1 more source

Tumor‐educated platelets in cancer diagnostics and prognostics: A critical appraisal and roadmap for clinical translation

International Journal of Cancer, EarlyView.
Abstract Tumor‐educated platelets (TEPs) are emerging as a compelling frontier in liquid biopsy, functioning as dynamic, systemic sensors that sequester and process tumor‐derived biomolecules. This interaction imprints an integrated molecular signature of malignancy—spanning the transcriptome, proteome, lipidome, and crucially, the captured genome ...
Whi‐An Kwon, Min‐Kyung Lee, Eunyong Ahn, Heeyeon Kim, Yong Sang Song, Taejin Ahn   +5 more
wiley   +1 more source

Chronic, Environmentally Relevant PM2.5 Exposure Exacerbates Metabolic Dysfunction‐Associated Steatotic Liver Disease and Early‐Stage Renal Dysfunction in a Rodent Model

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT While epidemiological studies link fine particulate matter (PM2.5) exposure to metabolic dysfunction‐associated steatotic liver disease (MASLD) and renal dysfunction, a translational gap exists, as most animal models utilize acute, high‐dose exposures that poorly reflect chronic, moderate‐level human scenarios.
Yi‐Siao Chen, Hugo You‐Hsien Lin, Chien‐Tzu Lin, Si‐Hua Huang, Ming‐Lun Yeh, Ming‐Lung Yu, Jin‐Ching Lee, Yao‐Chi Chung, Wei‐Ming Li, Ching‐Chia Li, Shiu‐Feng Huang, Chia‐Hung Yen   +11 more
wiley   +1 more source

Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm

Photonic Sensors, 2019
Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the maximum posteriori estimation,
Chan Huang, Feinan Chen, Yuyang Chang, Lin Han, Shuang Li, Jin Hong   +5 more
doaj   +1 more source

Clinicopathological characteristics of patients with inoperable non‐small cell lung cancer harboring circulating NRF2 pathway mutations

The Journal of Pathology, EarlyView.
Abstract Lung cancer is the leading cause of global cancer‐related morbidity and mortality, with tobacco smoking as its strongest risk factor. Nuclear factor erythroid 2‐related factor 2 (NRF2) is a redox‐regulated transcription factor frequently dysregulated in non‐small cell lung cancer (NSCLC), leading to aggressive disease and resistance to therapy.
Jouni Härkönen, Satu Tiainen, Jouni Kujala, Linnea Muhonen, Ponnuswamy Mohanasundaram, Tuomas Tikkanen, Ina Pöhner, Tommi Patinen, Simone Adinolfi, Juha P Väyrynen, Päivi Auvinen, Arto Mannermaa, Petri Pölönen, Tuomas Rauramaa, Anna‐Liisa Levonen   +14 more
wiley   +1 more source

Comparison of multichannel signal deconvolution algorithms in airborne LiDAR bathymetry based on wavelet transform

Scientific Reports, 2021
Airborne LiDAR bathymetry offers low cost and high mobility, making it an ideal option for shallow-water measurements. However, due to differences in the measurement environment and the laser emission channel, the received waveform is difficult to ...
Yue Song, Houpu Li, Guojun Zhai, Yan He, Shaofeng Bian, Wei Zhou   +5 more
doaj   +1 more source

Understanding Kernel Size in Blind Deconvolution

, 2019
Most blind deconvolution methods usually pre-define a large kernel size to guarantee the support domain. Blur kernel estimation error is likely to be introduced, yielding severe artifacts in deblurring results.
Ren, Dongwei, Si-Yao, Li, Yin, Qian
core   +1 more source

Raman Microspectroscopy for Structural Indication in Ultrafast Laser Writing

Small Methods, EarlyView.
Raman microspectroscopy is demonstrated as an in situ, phase‐specific probe for femtosecond laser fabrication in diamond. Multiple spectral indicators are systematically evaluated and correlated with electrical performance, establishing a robust methodology for process monitoring.
Xingrui Cheng, Eugenio Picheo, Zhixin Chen, Martin J. Booth, Patrick S. Salter, Álvaro Fernández‐Galiana   +5 more
wiley   +1 more source

Robust Multi-Frame Adaptive Optics Image Restoration Algorithm Using Maximum Likelihood Estimation with Poisson Statistics

Sensors, 2017
An adaptive optics (AO) system provides real-time compensation for atmospheric turbulence. However, an AO image is usually of poor contrast because of the nature of the imaging process, meaning that the image contains information coming from both out-of ...
Dongming Li, Changming Sun, Jinhua Yang, Huan Liu, Jiaqi Peng, Lijuan Zhang   +5 more
doaj   +1 more source

SMILE: Extraction‐free submicron‐resolution mapping of lipid chain length and unsaturation by stimulated Raman imaging

VIEW, EarlyView.
In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou, Xiangjie Huang, Xingxin Liu, Ling Zhang, Jie Huang, Jing Zhao, Yongqing Zhang, Jin Zhang, Yanqing Gong, Delong Zhang, Hyeon Jeong Lee   +10 more
wiley   +1 more source