Cold feet - Wikipedia
Cold feet is a phrase that refers to a person not going through with an action, particularly one which requires long-term commitment, due to fear, uncertainty
What should the Sixers actually trade for? | Liberty Ballers
Dec 15, 2025 · What should the Sixers actually trade for? Dec. 15 marks the official start of NBA trade season. Here are a few thoughts on what the Sixers could do as they navigate a lot of uncertainty.
Impact of the calibration of the Halo Mass Function on galaxy cluster number count cosmolo…
The halo mass function (HMF) is a critical element in cosmological analyses of galaxy cluster catalogs. We quantify the impact of uncertainties in HMF parameters on cosmological constraints from cluster catalogs similar to those from Planck, those ex...
A Survey on Bayesian Deep Learning
A comprehensive artificial intelligence system needs to not only perceive the environment with different `senses' (e.g., seeing and hearing) but also infer the world's conditional (or even causal) relations and corresponding uncertainty. The past dec...
Bayesian uncertainty analysis for complex systems biology models: emulation, global parame…
Background: Many mathematical models have now been employed across every area of systems biology. These models increasingly involve large numbers of unknown parameters, have complex structure which can result in substantial evaluation time relative t...
Probabilistic Cause-of-death Assignment using Verbal Autopsies
In regions without complete-coverage civil registration and vital statistics systems there is uncertainty about even the most basic demographic indicators. In such areas the majority of deaths occur outside hospitals and are not recorded. Worldwide,...
Bayesian NVH metamodels to assess interior cabin noise using measurement databases
In recent years, a great emphasis has been put on engineering the acoustic signature of vehicles that represents the overall comfort level for passengers. Due to highly uncertain behavior of production cars, probabilistic metamodels or surrogates can...
Methods for pitch analysis in contemporary popular music: highlighting pitch uncertainty i…
We identify characteristic features of how pitch is manipulated for expressive purposes by Hyper Music, a mainstream commercial music company specialising in advertisement music for global corporations. The study shows that the use and organisation o...
Empowering Aggregators with Practical Data-Driven Tools: Harnessing Aggregated and Disaggr…
This study explores the interaction between aggregators and building occupants in activating flexibility through Demand Response (DR) programs, with a focus on reinforcing the resilience of the energy system considering the uncertainties presented by...
The Cost of Uncertainty in Curing Epidemics
Motivated by the study of controlling (curing) epidemics, we consider the spread of an SI process on a known graph, where we have a limited budget to use to transition infected nodes back to the susceptible state (i.e., to cure nodes). Recent work ha...
GPS radio sources: new optical observations and an updated master list
* Aims. Identify optical counterparts, address uncertain identifications and measure previously unknown redshifts of the host galaxies of candidate GPS radio sources, and study their stellar populations. * Methods. Long slit spectroscopy and deep o...
BTC Votality!!
Bitcoin volatility is starting to cool as tariff jitters fade, which often signals the market is settling after a period of uncertainty. When things calm down, price action tends to become more predic...
High-Resolution Three-Dimensional Simulations of Core-Collapse Supernovae in Multiple Prog…
Three-dimensional simulations of core-collapse supernovae are granting new insight into the as-yet uncertain mechanism that drives successful explosions. While there is still debate about whether explosions are obtained more easily in 3D than in 2D,...
Uncertainty in the MAN Data Calibration & Trend Estimates
We investigate trend identification in the LML and MAN atmospheric ammonia data. The signals are mixed in the LML data, with just as many positive, negative, and no trends found. The start date for trend identification is crucial, with the trends cla...
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics…
Clinic testing plays a critical role in containing infectious diseases such as COVID-19. However, one of the key research questions in fighting such pandemics is how to optimize testing capacities across clinics. In particular, domain experts expect...
Are some breaks in GRB afterglows caused by their spectra?
Sharp breaks have been observed in the afterglow light curves of several GRBs; this is generally explained by the jet model. However, there are still some uncertainties concerning this interpretation due to the unclear hydrodynamics of jet sideways...
Use of Rapid Probabilistic Argumentation for Ranking on Large Complex Networks
We introduce a family of novel ranking algorithms called ERank which run in linear/near linear time and build on explicitly modeling a network as uncertain evidence. The model uses Probabilistic Argumentation Systems (PAS) which are a combination o...
Predicting Strategic Voting Behavior with Poll Information
The question of how people vote strategically under uncertainty has attracted much attention in several disciplines. Theoretical decision models have been proposed which vary in their assumptions on the sophistication of the voters and on the informa...
Unlocking of predicate: application to non-anticipating selections
We consider an approach to constructing a non-anticipating selection of a multivalued mapping; such a problem arises in control theory under conditions of uncertainty. The approach is called "unlocking of predicate" and consists in the reduction of f...
Laplace Redux -- Effortless Bayesian Deep Learning
Bayesian formulations of deep learning have been shown to have compelling theoretical properties and offer practical functional benefits, such as improved predictive uncertainty quantification and model selection. The Laplace approximation (LA) is a...