Results 141 to 150 of about 1,032,480 (246)

Resilience as a Fiscal Input: County Financial Condition in an Open Systems Framework

Public Budgeting &Finance, EarlyView.
Abstract This study explores how community resilience shapes local fiscal health by integrating the Baseline Resilience Indicators for Communities (BRIC) into an open‐systems framework of public finance. Using financial data from U.S. counties for fiscal years 2016 and 2021, we examined whether the six BRIC domains explain variation in operating ...
Jungmin Hwang, Junghwa Choi, Sojin Jang, Craig S. Maher   +3 more
wiley   +1 more source

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization

Camera-ready version (ProbML 2026)
Sinaga, Marshal Arijona, Martinelli, Julien, Kaski, Samuel   +2 more
openaire   +2 more sources

Noisy Politics, Quiet Technocrats: Strategic Silence by Central Banks

Regulation &Governance, EarlyView.
ABSTRACT In contrast to the “quiet” politics of the pre‐2008 period, macroeconomic policy has become “noisy”. This break raises a question: How do independent agencies designed for quiet politics react when a contentious public turns the volume up on them?
Benjamin Braun, Maximilian Düsterhöft
wiley   +1 more source

Single human fingertip mechanoreceptive afferents simultaneously encode multidimensional aspects of touch

The Journal of Physiology, EarlyView.
Abstract figure legend Mechanoreceptors in the fingertip skin allow us to explore objects and to feel a vast range of textures. We recorded responses from individual low‐threshold mechanoreceptive afferents in humans while dynamic stimuli were swept across their receptive fields, systematically varying force, velocity and spatial period.
Victoria Ashley Lang, Helena Backlund Wasling, Rochelle Ackerley, Johan Wessberg   +3 more
wiley   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Case‐Mix Adjustment of Multidimensional Patient‐Reported Outcomes to Assess Hospital Performance

Health Economics, Volume 35, Issue 11, Page 1734-1743, November 2026.
ABSTRACT Multidimensional patient‐reported outcome measures (PROMs) are increasingly used to compare the performance of health care providers. Meaningful comparisons require the data to be adjusted for differences in case‐mix. The common approach in the literature is to aggregate PROM data into univariate summary scores prior to case‐mix adjustment. In
Nils Gutacker, Yuanyuan Gu
wiley   +1 more source

Noise shielding models for the conceptual design of unconventional aircraft

, 2018
Air traffic growth and the expansion of urban areas around airports make the aviation community noise a key aspect of aircraft design. The analysis of innovative configurations is becoming activity of primary interest within the scientific community. The
Centracchio F., Rossetti M., Iemma U., Burghignoli L.   +3 more
core  

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

AIChE Journal, Volume 72, Issue 10, October 2026.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

Uncertainty-Calibrated Collaborative Filtering via Heteroscedastic Bayesian Neural Networks. [PDF]

Entropy (Basel)
Wang X.
europepmc   +1 more source