Brain Structural Covariance Network in Asperger Syndrome Differs From Those in Autism Spectrum Disorder and Healthy Controls. [PDF]
Faridi F +2 more
europepmc +1 more source
ABSTRACT Digital transformation (DT) is increasingly recognised as essential for improving environmental performance in process‐intensive and hazardous sectors; however, the mechanisms by which digitalisation translates into green operational performance (GOP) and environmental accountability remain insufficiently investigated, particularly in ...
Amila Kasun Sampath Udage Kankanamge +2 more
wiley +1 more source
Disrupted structural covariance network in presbycusis patients: evidence from a large sample mri-based morphometric study. [PDF]
Yan Q +6 more
europepmc +1 more source
ABSTRACT Businesses are increasingly striving to reduce their carbon footprint, with carbon offsetting emerging as a viable pathway towards achieving carbon neutrality. Such efforts signify a demonstrated commitment to fostering environmental sustainability and contributing to a more sustainable future.
Sanjeev Yadav +4 more
wiley +1 more source
Intra-individual structural covariance network in patients with chronic neck and shoulder pain: a longitudinal brain structure analysis. [PDF]
Liu T +6 more
europepmc +1 more source
Reorganization of the Brain Structural Covariance Network in Ischemic Moyamoya Disease Revealed by Graph Theoretical Analysis. [PDF]
Wang P +6 more
europepmc +1 more source
ABSTRACT Despite global commitments under the Paris Agreement, empirical evidence on the involvement of the land‐based private sector of emerging economies in carbon trading remains limited. The study analyses how behavioural factors and institutional complexities influence the involvement of the land‐based private sector in carbon trading in Indonesia.
Iis Alviya +3 more
wiley +1 more source
Structural Covariance Network as an Endophenotype in Alzheimer's Disease-Susceptible Single-Nucleotide Polymorphisms and the Correlations With Cognitive Outcomes. [PDF]
Chang HI +10 more
europepmc +1 more source
554 The covariance of e(k) = [el(k)e2(k)] is i E{e(k)er(k)}=P(k) =-----.
The initial conditions for each estimate are and the initial covariance P(0) is a,(0)=22(0)=E{x(O)} =x0 I Equation (22) can be expanded to yield the transition equations for the submatrices of P(k) shown in (21).
Evolves As, The Covariance
core
ABSTRACT Considering the need for environmental sustainability and fulfillment of the needs of customers at the bottom of the pyramid, this study integrates the attention‐based view of organizations and situational leadership theory to examine the impact of government eco‐initiatives on frugal green innovation through managerial attention toward the ...
Qaisar Iqbal +2 more
wiley +1 more source

