Results 131 to 140 of about 5,521 (203)

N‐terminal pro‐brain natriuretic peptide and cardiorenal outcome in patients with anaemia in chronic kidney disease

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 848-858, April 2025.
Abstract Aims Blood levels of N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) may be modified by low renal clearance and anaemia. The aim of this study was to investigate the impact of the blood NT‐proBNP level on cardiovascular and renal outcomes in patients with these two manifestations.
Hiroshi Nishi   +4 more
wiley   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori   +5 more
wiley   +1 more source

Prognostic role of TAPSE to PASP ratio in outpatients with left ventricular systolic dysfunction

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 912-922, April 2025.
Abstract Aims Few data are available regarding the role of tricuspid annulus plane systolic excursion to pulmonary artery systolic pressure (TAPSE/PASP), a measurement of right ventricular to pulmonary artery coupling, in patients with chronic heart failure and left ventricular systolic dysfunction.
Mauro Riccardi   +9 more
wiley   +1 more source

CardiLect: A combined cross‐species lectin histochemistry protocol for the automated analysis of cardiac remodelling

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 1398-1415, April 2025.
Abstract Background Cardiac remodelling, a crucial aspect of heart failure, is commonly investigated in preclinical models by quantifying cardiomyocyte cross‐sectional area (CSA) and microvascular density (MVD) via histological methods, such as immunohistochemistry.
Tamás G. Gergely   +14 more
wiley   +1 more source

Scalp‐negative medial temporal interictal epileptic discharges alter large‐scale brain networks: A simultaneous high‐density electroencephalographic and intracranial electroencephalographic study

open access: yesEpilepsia, EarlyView.
Abstract Objective Interictal epileptiform discharges (IEDs) observed on scalp electroencephalography (EEG) serve as a diagnostic hallmark of epilepsy. However, only a small fraction of IEDs recorded by intracranial EEG (iEEG) are detectable on the scalp; the vast majority remain invisible on scalp recordings.
Nicolas Roehri   +7 more
wiley   +1 more source

Temporal Trends in the Epidemiology of Eating Disorders Between 2000 and 2022: A Danish Register Study of Their Incidence and Comorbidities

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Background Eating disorders are debilitating illnesses that often co‐occur with other psychiatric disorders and somatic diseases. Evidence indicates that the incidence of eating disorders has been increasing. We first examine the landscape of EDs over time, including the COVID‐19 period, via assessing the incidence of anorexia nervosa (AN ...
Nadia Micali   +4 more
wiley   +1 more source

Cardinal interpolation and spline functions

open access: yesJournal of Approximation Theory, 1969
openaire   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

open access: yesEnergy Science &Engineering, EarlyView.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei   +2 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

A Full AC Time‐Series Analysis of Photovoltaic Hosting Capacity in Niger's Grid

open access: yesEnergy Science &Engineering, EarlyView.
Methodological framework for PV hosting capacity assessment. ABSTRACT The integration of solar photovoltaic (PV) systems into sub‐Saharan African distribution grids presents a transformative opportunity to enhance energy access and sustainability. However, accurately quantifying the hosting capacity (HC), the maximum PV power that can be accommodated ...
Hamza Abarchi Halarou   +5 more
wiley   +1 more source

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