Results 131 to 140 of about 188,264 (321)

Spatial autocorrelation of soybean plant populations and physical attributes of Oxisol [PDF]

, 2023
Job Teixeira de Oliveira, Fábio Henrique Rojo Baio, Eder Eujácio da Silva, SUZANY S. MOURA, Domingos Sárvio Magalhães Valente, Paulo Eduardo Teodoro   +5 more
openalex   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

A Spatial Autocorrelation Method for Taenia solium Risk Mapping: The Case of Lao PDR. [PDF]

Trop Med Infect Dis, 2023
Larkins A, Bruce M, Ash A.
europepmc   +1 more source

Rangewide responses of Mimulus cardinalis to an extreme heat event

American Journal of Botany, EarlyView.
Abstract Premise Extreme events are an understudied aspect of ongoing anthropogenic climate change that could play a disproportionate role in the threat that rapid environmental shifts pose to natural populations. Methods We exposed plants originating from seeds that were harvested before (ancestors) and after (descendants) multiple extreme heat events
Lucas J. Albano, Robin A. Bingham, Sulma Correa, Catherine G. Laufenberg, Cristina Payst, Christopher D. Muir, Seema Nayan Sheth   +6 more
wiley   +1 more source

Key epidemiological indicators and spatial autocorrelation patterns across five waves of COVID-19 in Catalonia. [PDF]

Sci Rep, 2023
Belvis F, Aleta A, Padilla-Pozo Á, Pericàs JM, Fernández-Gracia J, Rodríguez JP, Eguíluz VM, De Santana CN, Julià M, Benach J, COVID-SHINE group.   +10 more
europepmc   +1 more source

Investment decision and the spatial dimension : Evidence from firm level data [PDF]

This paper proposes to investigate the effect of spillovers on location decision of firms. We develop an analysis merging the geographer toolbox with the standard econometric techniques.
Luisito BERTINELLI, Rosella NICOLINI
core  

The use of spatial autocorrelation statistics for the analysis of regional linguistic variation

, 2011
Jack Grieve
openalex   +2 more sources

Unravelling the Referendum: An Analysis of the 2023 Australian Voice to Parliament Referendum Outcomes Across Capital Cities

Australian Journal of Social Issues, EarlyView.
ABSTRACT The 2023 Australian Voice to Parliament Referendum presented a pivotal moment in the nation's democratic landscape. Despite support for Indigenous well‐being, the referendum did not secure the necessary approval, prompting extensive analysis of its outcome.
Scott Baum, William Mitchell
wiley   +1 more source

Spatial Autocorrelation and Temporal Convergence of PM_2.5 Concentrations in Chinese Cities. [PDF]

Int J Environ Res Public Health, 2022
Wang H, Chen Z, Zhang P.
europepmc   +1 more source