Results 181 to 190 of about 247,491 (312)

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

Advanced 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, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Predictive voting model for early diagnosis of diabetes dataset. [PDF]

Front Cardiovasc Med
Al-Bimani T, AlShaqsi J, Alkhawaldeh R, Al Busaidi AS, Tarhini A.   +4 more
europepmc   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

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

Advanced 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, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Tuberculosis in households with infectious cases in Kampala city: Harnessing health data science for new insights on an ancient disease with persistent, unresolved problems. [PDF]

PLoS One
Nasinghe E, Musinguzi D, Takuwa M, Kamulegeya R, Nabatanzi R, Namiiro S, Mwikirize C, Katumba A, Ssengooba W, Kivunike FN, Nakatumba-Nabende J, Kateete DP.   +11 more
europepmc   +1 more source

Evaluation of Plasticity and Creep Parameters From Tensile Stress–Strain Data for a Range of Strain Rates

Advanced Engineering Materials, EarlyView.
This plot compares experimental tensile stress–strain curves (with 4 different strain rates) and corresponding modelled curves (obtained using the optimised sets of Voce and Miller–Norton parameter values shown). The inferred M‐N values, characterizing the creep, are very similar to those obtained via conventional creep testing.
S. Ooi, R. P. Thompson, T. W. Clyne
wiley   +1 more source

From Precision to Personalized: Catalyzing AI-Enabled Innovation in Drug Development. [PDF]

Clin Transl Sci
Subbaswamy A, Dunn A, Langevin B, Lee S, Gopalakrishnan M, Gobburu JVS.   +5 more
europepmc   +1 more source

Development of new algorithms to advance on the discovery of microRNAs

Développement de nouveaux algorithmes pour avancer dans la découverte des microARNs Les miARNs sont de petites molécules d’ARN, plus courtes que 25 nucléotides, qui ont été identifiées comme étant des régulateurs clés de l’expression génétique au niveau post-transcriptionnel. Les miARNs sont impliqués dans un large éventail de processus
openaire   +2 more sources

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Artificial Intelligence-Enabled Electrocardiography in Kidney Transplantation: Are We Ready to Rethink the Electrocardiogram? [PDF]

Kidney360
Alzyood L, Ajaimy M.
europepmc   +1 more source