Results 141 to 150 of about 915,541 (286)

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Future Fiscal and Budgetary Shocks [PDF]

We study the effects of future tax and budgetary shocks in a non-monetary and possibly non-Ricardian economy. An (unanticipated) temporary labor tax cut to be effective on a given future datea delayed debt bombcauses at once a drop in the (unit) value ...
Hian Teck Hoon, Edmund S. Phelps
core  

Perceptions of healthcare professionals of the application of the National Program for Women and Child Health in Bacău County, Romania: a cross-sectional study. [PDF]

Med Pharm Rep
Botezatu OM, Mocanu V, Păduraru DTA, Eşanu IM, Cărăuşu EM.   +4 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Affordability of new drugs in the Brazilian public health system: a 13-year monitoring analysis of reimbursement decisions based on health technology assessments (2012-2024). [PDF]

Lancet Reg Health Am
da Silva Pereira Curado D, Santos M, Palacios A, Zimmermann IR, Nunes da Silva E.   +4 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Enabling equitable open access to commercially funded research publications. [PDF]

PLoS Med
Schmidt A, Winchester CC, Skobe C, Stothard DR, Topol E.   +4 more
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Managementul energetic integrat al clădirilor publice la nivelul unităților administrativ-teritoriale. Proceduri administrative pentru eficiență energetică, autoconsum și reziliență locală

Revista Transilvană de Ştiinţe Administrative
The energy efficiency of public buildings is increasingly becoming a matter of local administrative capacity rather than merely a technical objective. This paper analyses how territorial administrative units can transform energy-efficiency measures into
Paul Vasile Zai, Adrian Mihai Inceu, Marin-Alexandru Ciorchină   +2 more
doaj  

Insights from GWAS, TWAS, and DEG analysis: CDKN2B-AS1, MAP3K4, and P2RX2-encoded P2X2 receptor identified as potential therapeutic targets for ischemic heart disease in Russian adults and long-living individuals. [PDF]

Front Cardiovasc Med
Daniel V, Romanova N, Mamchur A, Nartova A, Abushinova G, Ivanov M, Ezhov M, Meshkov A, Gomyranova N, Vasiliev V, Latypov R, Vorobieva Y, Gostischeva O, Chubykina U, Gurtsiev T, Aksenova Y, Komarova M, Kumar N, Maralova E, Shingaliev A, Mitrofanov S, Yudin V, Keskinov A, Tkacheva O, Skvortsova V, Boytsov S, Yudin S, Kashtanova D.   +27 more
europepmc   +1 more source