The target cost in the new comprehensive cost management.
openaire +2 more sources
Association between HbA1c status relative to individualized targets and estimated 28-day diabetes-related cost in older outpatients with diabetes: a single-center cross-sectional study. [PDF]
Omura T, Kamihara T.
europepmc +1 more source
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
Cost management + manajemen biaya : penekanan strategis
Judul asli : Cost Management. Buku 1xx, 784 p.
Blocher, Adward J, Blocher, Edward J
core
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
An economic perspective on legacy phosphorus: A multidimensional challenge for policy and management requiring interdisciplinary solutions. [PDF]
Palm-Forster LH, Fleming PM.
europepmc +1 more source
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source
Risk-Stratified Interventional Management and Surgical Decision-Making in Primary Glaucoma. [PDF]
Hsiung C, Lan CH, Yen WT, Lu DW.
europepmc +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Transplantation as disease modifying therapy in the era of gene therapy medicinal products - health policy considerations. [PDF]
Wagenmakers M +5 more
europepmc +1 more source

