Results 131 to 140 of about 27,220,972 (292)
Abstract Traditional bankruptcy literature has primarily focused on commercial enterprises, often overlooking the unique dynamics of cooperatives and other small organizations. This study addresses this g ap by developing a predictive model for insolvency risk within Brazil's supplementary health sector, encompassing both for‐profit and not‐for‐profit ...
Thiago de Oliveira Victorino +2 more
wiley +1 more source
Abstract This article examines how urban inequalities influence the Social and Solidarity Economy (SSE) through a study of two Barcelona neighbourhoods. It evaluates the limitations of SSE promotion policies implemented between 2016 and 2024, focusing on their impact on diversifying socio‐enterprise initiatives and fostering cooperative ecosystems with
Santiago Eizaguirre Anglada +2 more
wiley +1 more source
A new de-noising method based on Independent Component Analysis (ICA) is proposed for imaging characteristics of Digital Micro-mirror Device (DMD) based Hadamard Transform Spectral Imager.
HuBingLiang +5 more
core
Co‐operatives and public policy: A scoping review
Abstract We sketch a first‐ever map of the scholarly literature on co‐operatives and public policy from a selection of English‐language studies published since 2000 using a scoping review methodology. We find that while co‐operatives are often framed as solutions to societal problems, few scholars draw on formal public policy theories.
Marc‐André Pigeon +1 more
wiley +1 more source
Processing Human Colonic Pressure Signals by Using Overdetermined ICA
Independent component analysis(ICA)is a widely used method for blind source separation(BSS).The mature ICA model has a restriction that the number of the sources must equal to that of the sensors used to collect data,which is hard to meet in most ...
She-ping TIAN, Cheng PAN, Guo-zheng YAN
doaj
Independent component analysis (ICA) and method of estimating functions
Independent component analysis (ICA) is a new method of extracting independent components from multivariate data. It can be applied to various fields such as vision and auditory signal analysis, communication systems, and biomedical and brain engineering. There have been proposed a number of algorithms.
openaire +1 more source
The Underlying Return Generating Factors for REIT Returns: An Application of Independent Component Analysis [PDF]
Multi-factor approaches to analysis of real estate returns have, since the pioneering work of Chan, Hendershott and Sanders (1990), emphasised a macro-variables approach in preference to the latent factor approach that formed the original basis of the ...
Stephen Satchell +2 more
core
Abstract Social economy entities (SEEs) are frequently portrayed as organizations that promote gender equality, yet evidence on how these commitments shape management practices remains limited. This study pursues two objectives: (1) to determine whether gender differences exist in perceptions of cooperative principles, gender equality, work‐life ...
Isabel Olmedo‐Cifuentes +2 more
wiley +1 more source
A new fixed-point algorithm for independent component analysis
A new fixed-point algorithm for independent component analysis (ICA) is presented that is able blindly to separate mixed signals with sub- and super-Gaussian source distributions.
Shi, ZW, Tang, HW, Tang, YY
core
Cooperative success for Cambodia's small‐scale rice farmers
Abstract In 2013, Cambodia introduced new cooperative legislation and began providing policy and material support for the establishment of ‘modern’ cooperatives. However, only 7% of the country's small‐scale farmers were members of registered agricultural marketing cooperatives (ACs) in 2020.
Narith Roeun +2 more
wiley +1 more source

