Underutilized Feature Extraction Methods for Burn Severity Mapping: A Comprehensive Evaluation
Wildfires increasingly threaten ecosystems and infrastructure, making accurate burn severity mapping (BSM) essential for effective disaster response and environmental management. Machine learning (ML) models utilizing satellite-derived vegetation indices
Linh Nguyen Van, Giha Lee
doaj +1 more source
Objective The aim of this study was to determine the differences in demographic, serologic, and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods This was a retrospective observational study using data from the Australian Scleroderma Cohort Study.
Emily Lin +14 more
wiley +1 more source
Non-linear tools and methodological concerns measuring human movement variability: an overview
In recent years, several works have explored variability using different approaches, trying to describe the variations in motor movement. Traditionally, movement variability was regarded as a system error due to noise of neuromuscular mechanisms, but ...
Carla Caballero +2 more
doaj
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) [PDF]
We introduce a new structured kernel interpolation (SKI) framework, which generalises and unifies inducing point methods for scalable Gaussian processes (GPs).
Nickisch, Hannes, Wilson, Andrew Gordon
core +2 more sources
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Improved approximation bounds for Vector Bin Packing [PDF]
In this paper we propose an improved approximation scheme for the Vector Bin Packing problem (VBP), based on the combination of (near-)optimal solution of the Linear Programming (LP) relaxation and a greedy (modified first-fit) heuristic.
Geevarghese, Jeffrey John +2 more
core
Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser +6 more
wiley +1 more source
Professor Zdzisław Hellwig 1925 – 2013. Renaissance style giant
On 8th November 2013, with great sadness we said goodbye to our dear Master and Teacher, Professor Zdzisław Hellwig. He walked away from us forever. Professor Zdzisław Hellwig (1925 – 2013) was a great man with impressive biography.
Józef Dziechciarz
doaj

