Results 51 to 60 of about 8,959,956 (282)
This paper presents a simulation-based search approach for the machining economics problem with stochastically distributed tool lives. It is evident that the life of cutting tools used in machining centers is modeled using proper probabilistic methods ...
Abdulrahman M.A. Al-Ahmari
doaj +1 more source
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty +13 more
wiley +1 more source
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
Variability of the composition and properties of raw materials used for biodiesel production may cause a loss of productivity, since the same operating conditions give rise to different yields for alternative feedstock sources. The capability to re‐optimize the process when the raw materials change may lead to a significant improvement in productivity.
Luna, Martín Francisco +1 more
openaire +2 more sources
The Impact Analysis of the Distributed Generation Outage Loss to Customers Based on the Probabilistic Production Simulation [PDF]
With the growing shortage of energy, the requirement of environmental protection is constantly improving, and distributed generation is increasing in the grid. The increase of permeability of distributed power will affect the electricity reliability, which affects customer outage costs.
Hua Weng +4 more
openaire +1 more source
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
The method of probabilistic-algebraic simulation driven technological production processes with the potential danger elements, based on the conduct of proactive modeling using parameterized probabilistic-algebraic models is described, which is used for ...
V. S. Smorodin +2 more
doaj
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
The accuracy in oil reserve estimation is very important, as decisions should be made based on this value. The present paper will deal with estimating oil reserves by using deterministic and probabilistic approaches.
Jassim M. Al Said Naji +1 more
doaj +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source

