Transforming Procurement: The Dynamic Capabilities and Microfoundations to Buy Circular
ABSTRACT Circular Procurement (CP) integrates Circular Economy (CE) principles into purchasing decisions to close material loops and retain value across product life cycles. Yet, its adoption remains limited due to persistent barriers within procurement processes.
Francesco Cafforio, Ilaria Giannoccaro
wiley +1 more source
Ergodic behaviour of Sullivan's geometric measure on a geometrically finite hyperbolic manifold [PDF]
Daniel J. Rudolph
openalex +1 more source
ABSTRACT Background Complications of percutaneous coronary intervention (PCI) remain infrequent but are associated with a risk of serious injury or death. The techniques and devices required to manage them may be unfamiliar or unavailable to operators.
Junichi Fukamizu +25 more
wiley +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Relativistic triangle-curvature computing for federated HIV-1 protein-sequence monitoring. [PDF]
Villalba-Díez J, González-Marcos A.
europepmc +1 more source
A note on quantum 3-manifold invariants and hyperbolic volume [PDF]
Efstratia Kalfagianni
openalex +1 more source
Subuniformity of harmonic mean p$$ p $$‐values
Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen +3 more
wiley +1 more source
Multi-Manifolds fusing hyperbolic graph network balanced by pareto optimization for identifying spatial domains of spatial transcriptomics. [PDF]
Li Y, Hu Q, Han S, Wang-Sattler R, Du W.
europepmc +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]
Papillon M +10 more
europepmc +1 more source

