Results 51 to 60 of about 22,632 (246)

Studying interspecific population synchrony: current status and future perspectives

open access: yesEcography, EarlyView.
Interspecific population synchrony, or co‐fluctuations in the population dynamics and demographic parameters of different species, is an important ecological phenomenon with major implications for the stability of communities and ecosystems. It is also central in the context of biodiversity loss, as interspecific synchrony can influence how ecological ...
Ragnhild Bjørkås   +3 more
wiley   +1 more source

Employment of artificial intelligence for an unbiased evaluation regarding the recovery of right ventricular function after mitral valve transcatheter edge‐to‐edge repair

open access: yesEuropean Journal of Heart Failure, EarlyView.
Impact of mitral transcatheter edge‐to‐edge repair (M‐TEER) on left and right heart function. IQR, interquartile range; LA, left atrial; RVEF, right ventricular ejection fraction; sPAP, systolic pulmonary artery pressure; TAPSE, tricuspid annular plane systolic excursion. Abstract Aims Long‐standing severe mitral regurgitation (MR) leads to left atrial
Vera Fortmeier   +21 more
wiley   +1 more source

Artificial intelligence‐based echocardiographic assessment for monitoring disease progression in transthyretin cardiac amyloidosis

open access: yesEuropean Journal of Heart Failure, EarlyView.
Artificial intelligence (AI)‐based estimation of stroke volume for risk prediction in amyloid transthyretin cardiomyopathy (ATTR‐CM). ATTRv, hereditary transthyretin amyloidosis; ATTRwt, wild‐type transthyretin amyloidosis; CI, confidence interval; HR, hazard ratio; IQR, interquartile range; LVOT‐VTI, left ventricular outflow tract velocity‐time ...
Lucia Venneri   +23 more
wiley   +1 more source

Unsupervised machine learning for cardiovascular disease: A framework for future studies

open access: yesEuropean Journal of Heart Failure, EarlyView.
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs). Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Emmanuel Bresso   +7 more
wiley   +1 more source

Enhanced Mobility and Stability in Solution‐Processed Mo–Pr Co‐Doped In2O3 TFTs Guided by Machine Learning Optimization

open access: yesElectron, EarlyView.
Schematic diagram of synergistic interaction between Mo and Pr in InPrMoO films. ABSTRACT In2O3‐based TFTs have garnered widespread attention due to their higher mobilities than amorphous silicon. Previous studies have indicated that rare earth doping can enhance the NBIS stability of TFTs, but this often results in a decrease in mobility.
Weixin Cheng   +9 more
wiley   +1 more source

A training strategy for hybrid models to break the curse of dimensionality. [PDF]

open access: yesPLoS One, 2022
E Samadi M   +4 more
europepmc   +1 more source

Constructing the “moralization shock”: The role of contingency in the translation of anticorruption policy in France

open access: yesEuropean Policy Analysis, EarlyView.
Abstract This article applies the concept of transaction to the process of policy transfer, through the case of conflict of interest regulation in France, using archives, documentary sources, and interviews with stakeholders. It contributes to the literature on policy translation by clarifying the role of contingency, which remains underspecified.
Sofia Wickberg
wiley   +1 more source

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