Results 51 to 60 of about 87,308 (289)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Identification of New Urban Centers by Using Taxonomic Methods
Folia Oeconomica Stetinensia, 2019 Research background: In recent years, the return of city and suburbs dwellers to city centers has been observed. This phenomenon is caused in particular by the growing costs of transport and time spent on commuting.
Makowska Anita
doaj +1 more source
Genetic Algorithm as Automated Valuation Model Component in Real Estate Investment Decisions System
Real Estate Management and Valuation, 2020 Every real-estate related investment decision making process calls for the careful analysis of available information even though it is often carried out in conditions of uncertainty.
Chmielewska Aneta +2 more
doaj +1 more source
Advanced Electronic Materials, Volume 11, Issue 6, May 2025.A straightforward method is introduced to produce ion‐gel films with very low surface roughness by employing a solution‐shearing coating process. These ion‐gel films permit the growth of crystalline thin films of various small molecule organic semiconductor molecules directly on top of the ion‐gel layer, thereby enabling “inverted” small molecule ...
Jonathan Perez Andrade +10 more
wiley +1 more source
Folia Oeconomica Stetinensia, 2023 Household income is one of the most important economic categories depending on various factors, in particular on the level of education of the head of the household. Salaries are treated as the market valuation of graduates made by employers.
Trzcińska Kamila, Zalewska Elżbieta
doaj +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
American Journal of Hematology, EarlyView.ABSTRACT Mantle cell lymphoma (MCL) is a B‐cell malignancy with a chronically relapsing clinical course and pronounced genetic heterogeneity. To investigate the clonal dynamics underlying early disease relapse, we performed single‐cell RNA sequencing of paired tumor samples collected at diagnosis and at first relapse. Inference of copy number variants (
Dmitry Manakov +14 more
wiley +1 more source
Impact of Internal Migration on Population Redistribution in Slovenia
Business Systems Research, 2019 Background: In most countries, data on migration refer only to flows between administratively or statistically defined zones that are changing over time.
Drobne Samo, Drešček Urška
doaj +1 more source
The Influence of Chosen Statistical Methods of Detecting Outliers on Property Valuation Result
Real Estate Management and Valuation, 2021 The subject of the thesis concerns the application of selected statistical methods searching for outliers in the process of determining the value of real estate, based on a functional model adjusted to market data.
Barańska Anna, Śpiewak Beata
doaj +1 more source