Results 151 to 160 of about 101,369 (251)
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets. [PDF]
Begum AM, Mobin MA.
europepmc +1 more source
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
Food matters: Dietary shifts increase the feasibility of 1.5°C pathways in line with the Paris Agreement. [PDF]
Humpenöder F +12 more
europepmc +1 more source
Accounting for animal health in efficiency analysis: An application to Swedish dairy farms
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang +3 more
wiley +1 more source
ABSTRACT Sutimlimab is a monoclonal antibody against complement fraction C1s approved for the treatment of hemolytic anemia due to cold agglutinin disease (CAD). Here, we analyzed and report the largest international CAD cohort of sutimlimab‐treated patients ever reported to highlight its safety and effectiveness in the real‐world setting. We accrued a
Bruno Fattizzo +38 more
wiley +1 more source
A Novel Plasma Heme Assay Reveals Disease Severity in Beta‐Thalassemia and Sickle Cell Anemia
ABSTRACT Anemia results from imbalanced hemoglobin or red blood cell production and clearance. Hemolytic anemia, caused by premature red blood cell removal, can be intravascular (in blood) or extravascular (erythrophagocytosis). Hemolysis is common in Sickle Cell Disease (SCD) and Beta‐Thalassemia anemia (β‐thalassemia), the most prevalent inherited ...
Laurent Kiger +14 more
wiley +1 more source
Ozone-related acute excess mortality projected to increase in the absence of climate and air quality controls consistent with the Paris Agreement. [PDF]
Domingo NGG +45 more
europepmc +1 more source
Persistent fire foci in all biomes undermine the Paris Agreement in Brazil. [PDF]
da Silva Junior CA +11 more
europepmc +1 more source
ABSTRACT Diamond–Blackfan Anemia Syndrome (DBAS) is a rare congenital anemia often requiring chronic red blood cell transfusions from infancy. Without appropriate chelation, iron overload develops early and may be severe; however, no data are available on chelation in patients under 3 years of age.
Francesca Torchio +19 more
wiley +1 more source

