Results 141 to 150 of about 14,272,431 (286)
Analysing banking sector conditions - how to use macro-prudential indicators [PDF]
This paper presents the methodological and statistical framework for macro-prudential analysis of the financial condition of the EU banking sector that has been adopted by the European System of Central Banks (ESCB).
Patrick Sandars +3 more
core
Objective The aim of this study was to characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE).
Sarah L. Patterson +7 more
wiley +1 more source
Introduction. In the current economic conditions, companies in the non-financial sector face the challenge of conducting an in-depth analysis of their financial condition in order to form an expert opinion on strategic development and determine their ...
M. V. Charaeva, E. N. Karpova
doaj
Some Measures of Financial Fragility in the Chilean Banking System: An Early Warning Indicators Application [PDF]
There is an ample literature whose main subject is to build models able to anticipate or provide some early warning signals of problematic financial institutions.
Antonio Ahumada, Carlos Budnevich
core
Objective Existing patient‐reported outcome (PRO) measures for systemic sclerosis (SSc) have important limitations, including inadequate coverage of early disease and limited inclusion of diffuse cutaneous (dcSSc) and limited cutaneous (lcSSc) subtypes.
George J. Greene +5 more
wiley +1 more source
Humanitarian funding contraction and the risk of cost-related forgone care: a proposed financial-protection transition framework for internally displaced communities in Mogadishu, Somalia. [PDF]
Siyad AO, Hassan AM.
europepmc +1 more source
Introducing the Non-Financial Indicators Into the Enterprise Evaluation
openaire +1 more source
Ecological indicators in the system of non-financial reporting at industrial enterprises [PDF]
V. M. Kolokoltsev +3 more
openaire +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Banking records reveal characteristics of financial abuse. [PDF]
Trendl A +5 more
europepmc +1 more source

