Heterologous expression and partial characterisation of enzymes predicted in silico by deep feed-forward neural networks by Foster, Bryce John

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The effects of temperature, slag chemistry and oxygen partial pressure on the behaviour of chromium oxide in melter slags by Bartie, Neill J.

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Grid-characteristic Method for Systems of Hyperbolic Partial Differential Equations with Discontinuous Solutions at Material Interfaces

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Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning

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Pilot-Aware Transformer-Based Spectral Efficiency Prediction in Massive MIMO With Noisy Partial CSI

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Corrected partial anomalous pulmonary vein connection associated with lung resection: a case report

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A novel partial mRNA-derived duplication of the gene identified in NGS carrier screening

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Signal Extraction and Clustering of Partial Discharge in Motor Insulation Using Temporal Correlation‐Based Clustering

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Prevalence of Partial Edentulism Based on Kennedy Classification in a Teaching Hospital: A Retrospective Study

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Simultaneous partial volume correction and denoising of brain PET images, using transformers and transfer learning

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A practical approach to fixed point theory in partial-metric spaces using simulation functions

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Amino acids partially override inhibitory effects of octreotide on islet hormone secretion in healthy individuals

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Integrated Use of BIM and GIS in Rural Resettlement Areas: A Conceptual Framework with Partial Testing

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Robotic‐Assisted Partial Revision of Total Knee Arthroplasty: First Case Report and Literature Review

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Controlled wet-chemical dissolution of simulated high-temperature reactor coated fuel particles

Subjects: “…Triso coated fuel particles…”
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On the numerical solution of Fisher's and FitzHugh-Nagumo equations using some nite di erence methods

Subjects: “…Partial Difference Equation…”
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Deep Neural Networks for Particle Identification in Simulated Proton-Proton Collisions at LHC and RHIC by Khalaf, Omar Mazhar

Subjects: “…LHC RHIC Neural Networks Particle Identification Colliders Collisions…”
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Granular flow modelling of rotating drum flows using positron emission particle tracking by Pathmathas, Thirunavukkarasu

“…Using Positron Emission Particle Tracking (PEPT) data we recover the key ingredients (velocity, shear rate, volume concentration, bed depth) for developing, testing and calibrating granular flow models. …”
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A compact high-energy particle detector for low-cost deep space missions by Kemp, Dayne Hilton

“…Over the last few decades particle physics has led to many new discoveries, laying the foundation for modern science. …”
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