Results 21 to 30 of about 61 (61)

Fire and Rescue Service Preparedness for Natural Hazards

Fire and Materials, EarlyView.
ABSTRACT Natural hazards driven by extreme weather events are expected to continue to pose a significant risk to citizens, property and the environment. Based on a series of national and international interviews with the Fire and Rescue Service (FRS), this paper presents an analysis of present practices within the FRS and FRS willingness to employ a ...
Johan Björck, Margaret McNamee
wiley   +1 more source

A Bayesian Analysis of Accidental Dwelling Fire Incidence, Injury, and Fatality in the Greater Manchester Area

Fire and Materials, EarlyView.
ABSTRACT The relationship between accidental dwelling fire incidence and fire injury and fatality was examined using a Bayesian model to estimate the probability of a fire injury or fatality resulting from an accidental dwelling fire incidence under different circumstances of fire incidence (type of accidental dwelling fire, dwelling occupancy type ...
M. Taylor, E. Dean, R. Lyon, V. Kwasnica, D. Reilly, H. Francis   +5 more
wiley   +1 more source

HRR–Time Behaviour of Untreated Wood Under SBI Conditions: Implications for the Interpretation of FIGRA and THR600

Fire and Materials, EarlyView.
ABSTRACT Reaction‐to‐fire classification of wood‐based materials in Europe relies on SBI‐derived parameters such as FIGRA and THR600. While these parameters provide a robust and practical basis for classification, their relationship to the underlying HRR–time development remains difficult to interpret.
Steven J. Paulussen
wiley   +1 more source

Wildfire Emissions From European Boreal Fuels: Effects of Fuel Type and Moisture Content

Fire and Materials, EarlyView.
ABSTRACT The increasing severity of wildfires poses significant challenges through the release of greenhouse gases and other harmful gases and particles. Although field measurements exist, there is a lack of systematic data collection to understand the influence of moisture content on the particle and gas emissions of boreal fuels, particularly for ...
Robert Svensson, Evalyne Arinaitwe, Frida Vermina Plathner, Johan Sjöström, Paul Otxoterena, Anna Sandinge, Per Blomqvist, Margaret McNamee   +7 more
wiley   +1 more source

Artificial intelligence and liquidation: Reality, destiny and fantasy

International Insolvency Review, EarlyView.
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley   +1 more source

Macroscopic, Histological and Ultrastructural Features of the Tongue of the Anatolian Wild Boar (Sus scrofa libycus)

Microscopy Research and Technique, EarlyView.
Integrated macroscopic, histological, and ultrastructural analyses revealed five distinct lingual papillae types (filiform, fungiform, conical, foliate, and vallate) in the Anatolian wild boar (Sus scrofa libycus). Mechanical papillae showed marked structural specialization, while gustatory papillae exhibited region‐specific distribution of taste buds.
Fatma Işbilir, Banu Kandil, Muhammed Zahid Atli, İhsan Işbilir, Barış Can Güzel   +4 more
wiley   +1 more source

Models of DG‐Carbon Bands in Raman Spectra: Effects of Basis Functions and Initial Values on the Uniqueness and S/N of Fits Obtained for Atmospheric Aerosol Using Automated Methods

Journal of Raman Spectroscopy, EarlyView.
Raman spectra containing D/G features are fit using combinations of basis functions and initial conditions. Fits with two Lorentzian functions converged to a single optimized fit even with variation of initial peak positions. For five‐band fits, sometimes the final fit varied with initial conditions, and constraints on peak center position were ...
David C. Doughty, Steven C. Hill
wiley   +1 more source

Robust Spectroscopic Analysis Through Image‐Based Spectral Representation and Deep Learning Techniques

Journal of Raman Spectroscopy, EarlyView.
This study addresses calibration drift in Raman spectroscopy by transforming 1D spectra into 2D spider plot images processed by pretrained convolutional neural networks. This visualization strategy effectively converts detrimental spectral wavenumber shifts into simple image rotations, allowing the deep learning model to maintain high classification ...
Azadeh Mokari, Oleg Ryabchykov, Thomas Bocklitz   +2 more
wiley   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

Mass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik, Petr Lapcik, Pavla Bouchalova, Pavel Bouchal   +3 more
wiley   +1 more source

Proteomics of Nitrotyrosine: Integrating Mass Spectrometry and Immunodetection in Redox‐Driven Pathology

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Nitrooxidative stress, driven by excess reactive nitrogen species like peroxynitrite, contributes to the pathogenesis of many chronic diseases. Among its molecular footprints, 3‐nitrotyrosine (3NT) has emerged as a biologically relevant marker of protein nitration.
Brîndușa Alina Petre
wiley   +1 more source