Results 41 to 50 of about 130 (119)
Gravity plays a crucial role in shaping patterned locomotor output to maintain dynamic stability during locomotion. The present study aimed to clarify the gravity-dependent regulation of modules that organize multiple muscle activities during walking in ...
Shota Hagio +2 more
doaj +1 more source
Relationship Between Mean Kärger Model Water Exchange Rate and Intercellular Water Transition Rate
ABSTRACT Purpose To derive a quantitative relationship between the mean Kärger model (KM) water exchange rate and the mean intercellular water transition rate applicable to brain and other complex biological tissues. Theory and Methods The mean KM water exchange rate applies to any KM, accommodates an arbitrary number of compartments, and can be ...
Jens H. Jensen +3 more
wiley +1 more source
Newton-based optimization for Kullback–Leibler nonnegative tensor factorizations [PDF]
Clarified notation in section 3.1.1, and used simpler score() function in section B ...
Samantha Hansen +2 more
openaire +5 more sources
Hyperspectral unmixing (HU), an essential procedure for various environmental applications, has garnered significant attention within remote sensing communities. Among different groups of HU methods, nonnegative matrix factorization (NMF)-based ones have
Saeid Gholinejad, Alireza Amiri-Simkooei
doaj +1 more source
Mixed feelings, mixed outcomes? When emotionally ambivalent framing enhances idea appreciation
Abstract Research Summary Despite growing interest in how linguistic strategies shape audience responses to innovative ideas, prior evidence on the benefits of using emotional language remains mixed. Building on research on emotional ambivalence and social evaluation, we introduce the concept of emotionally ambivalent framing (i.e., the combination of ...
Donato Cutolo +2 more
wiley +1 more source
Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source
Cross‐Prudence and Optimal Prevention
ABSTRACT In this paper, we study optimal prevention in the presence of a correlated nonfinancial background risk. Under positive correlation, cross‐prudence in the nonfinancial attribute reduces optimal prevention. We establish this result in the most direct extension of the standard prevention problem with binary marginal distributions and show that ...
Jingyuan Li, Richard Peter, Lin Zhou
wiley +1 more source
A Quantile Model of Firm Investment
ABSTRACT Are firms risk averse? We propose a dynamic model of firm investment under uncertainty that captures firms' risk attitudes through quantile preferences. The firm maximizes its present value, defined as current profits and investment plus the discounted value of the τ$\tau$‐quantile of its value next period.
Heitor Almeida +3 more
wiley +1 more source
Cross-Work Theme Identification in Long Novels via Nonnegative Tensor Factorization
Identifying the major themes and recurring motifs of an author’s long novels is a basic task in literary studies. To support this task in a scalable way while retaining within-novel narrative variation, we model an author corpus as a third-order ...
Yiying Chen, Maosheng Liu, Yuning Yang
doaj +1 more source
Discriminative and Distinct Phenotyping by Constrained Tensor Factorization
Adoption of Electronic Health Record (EHR) systems has led to collection of massive healthcare data, which creates oppor- tunities and challenges to study them.
Yejin Kim +4 more
doaj +1 more source

