Results 51 to 60 of about 456 (198)
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Quantum groups first arose out of the study of integrability in quantum mechanics, presenting a new notion of symmetry extending beyond the traditional group concept.
Elzinga, Floris Eelke
core +1 more source
Supervised Protein Structure Classification Using Topological Persistence With DeltaFold
ABSTRACT Recent advances in protein structure prediction have considerably increased the number of available structures, underscoring the need for scalable and accurate methods to compare and classify this huge amount of data. Current approaches based on sequence alignment or structural superposition often lack sensitivity and/or are computationally ...
Joseph Nardin‐Gennequin +3 more
wiley +1 more source
Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas +3 more
wiley +1 more source
A Rank‐Based CUSUM Monitoring Scheme for Time Between Events and Amplitude Data
ABSTRACT Monitoring time between events and amplitude (TBEA) data is critical in many applications, particularly in manufacturing, reliability engineering, and service operations. Yet, most existing TBEA control charts focus on a single quality characteristic and are typically developed under restrictive distributional assumptions.
Muhammad Arslan +5 more
wiley +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Dekohärenz in unendlichen Quantensystemen [PDF]
Hellmich M. Decoherence in infinite quantum systems. Bielefeld (Germany): Bielefeld University; 2009.Die Quantenmechanik gilt heute als unsere grundlegendste physikalische Theorie.
Hellmich, Mario
core
The Mitigating Role of Managerial Ability in ESG Decoupling
ABSTRACT Does managerial competence widen or bridge the gap between environmental, social, and governance (ESG) disclosures and actual performance? This paper explores the relationship between CEO ability and corporate decoupling regarding sustainability issues.
Isabel‐María García‐Sánchez +3 more
wiley +1 more source
Decomposing venture evaluation: Learning about belief formation
Abstract Research Summary Evaluating early‐stage ventures is difficult because observable signals of future quality are weak and noisy. How closely are evaluators' assessments related to venture quality, and do their subjective judgments add to the information already available about a venture?
Thomas Åstebro +2 more
wiley +1 more source
Foundations of free noncommutative function theory
In this book the authors develop a theory of free noncommutative functions, in both algebraic and analytic settings. Such functions are defined as mappings from square matrices of all sizes over a module (in particular, a vector space) to square matrices
Kaliuzhnyi-Verbovetskyi, Dmitry S +3 more
core +1 more source

