Results 91 to 100 of about 632,938 (299)

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

open access: yesAdvanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich   +3 more
wiley   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Program Conditionality and Food Security: The Impact of PROGRESA and PROCAMPO Transfers in Rural Mexico [PDF]

open access: yes
This paper examines the PROGRESA and PROCAMPO cash transfer programs in Mexico and evaluates their impact on household food security and nutrition.
M.Ruiz-Arranz   +3 more
core  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Influence of post-partum BMI change on childhood obesity and energy intake.

open access: yesPLoS ONE, 2019
IntroductionAssociation between parent's Body Mass Index (BMI) and their children, has been widely documented. Individual, familiar and structural factors play a role in this relation.
Martha M Téllez-Rojo   +6 more
doaj   +1 more source

Metabolic and behavioral compensations in response to caloric restriction: Implications for the maintenance of weight loss [PDF]

open access: yes, 2009
BackgroundMetabolic and behavioral adaptations to caloric restriction (CR) in free-living conditions have not yet been objectively measured.Methodology and principal findingsForty-eight (36.8+/-1.0 y), overweight (BMI 27.8+/-0.7 kg/m(2)) participants ...
Eric Ravussin   +20 more
core   +2 more sources

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

open access: yesAdvanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič   +7 more
wiley   +1 more source

The role of variety on caloric intake

open access: yes, 2014
Variety has been shown to increase caloric intake and has been linked to obesity. Variety was operationally defined as eating four sensorially distinct dinners across a week.
Anthony Matthias II Hairston
core   +1 more source

Why Does Reducing Caloric Intake Increase Sustainability? [PDF]

open access: yes, 2019
This flyer explains why reducing caloric intake increases ...
Deines, Juliet   +3 more
core  

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare   +5 more
wiley   +1 more source

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