Desired work-leisure balance in a partial equilibrium job search model with multiple job holding

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Temporal Biomolecular Processes Underlying Recovery Following 90% Partial Hepatectomy: A Proteomics Study in Rats

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Case Report: Partial Splenic Artery Embolization for the Treatment of Painful Splenomegaly Secondary to Noncirrhotic Portal Hypertension

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Broadband Ultra-high Frequency Sensor for Multi-condition Partial Discharge Detection in High-voltage Equipment

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Interpreting higher-order dependence in multimorbidity using cohort data: A partial information decomposition approach

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State‐of‐Health Estimation of Lithium‐Ion Battery Based on Partial Charge Data and Multimodal Image Fusion

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Reduced but Reversible Brain Entropy After Occupational Partial Sleep Deprivation in Night‐Shift Medical Staff

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Tensor-constrained consensus, partial-consensus and specificity components learning framework for incomplete multi-view clustering

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The old Hebrew particle gam : a syntactic-semantic description of gam in Gn-2Kg by Van der Merwe, Christo H. J.

Subjects: “…Hebrew language -- Particles…”
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J/Ψ suppression in ultra-relativistic heavy ion collisions by Ritchie, Robert Alexander

Subjects: “…Particles (Nuclear physics)…”
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Die komparatiewe partikels in Afrikaans by Strijdom, Estelle

Subjects: “…Afrikaans language -- Particles…”
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A comparison of quark distributions in bound and free nucleons by Marais, S. C.(Simon Christoffel)

Subjects: “…Particles (Nuclear physics)…”
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Preparation of novel functional polymeric nanoparticles and various applications by Harmzen-Pretorius, Elrika

Subjects: “…Janus Particles…”
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Design of the detector control system for the upgrade of the ALICE Muon Tracking Chambers at CERN by Kuriakose, Rony

Subjects: “…Particle accelerators -- Control systems…”
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Evaluating the influence of lifter face angle on the trajectory of particles in a tumbling mill using PEPT by Takalimane, Motena

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New technique for radiolabelling tracer with 64CU for positron emission particles tracking (PEPT) experiments by Liu, Cong

“…Positron emission particle tracking (PEPT) is a non-invasive technique for studying the flow of particulate systems within industrial equipment. …”
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Optimizing the content and gradation of recycled tyre rubber particles to improve cracking resistance of concrete mortars by Tsoana, Molefe Donald

“…A large amount of research exists pertaining to the use of rubber particles in concrete mixes to improve their cracking resistance. …”
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Short term load forecasting based on hybrid artificial neural networks and particle swarm optimisation by Shezi, Ellen

“…Short term load forecasts have been conducted by using various CI methods such as Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), Fuzzy Logic (FL), Expert Systems (ES), and Particle Swarm Optimisation (PSO). Hybrid versions of these methods, where two or more CI methods are amalgamated in a process to forecast future load, have also been used. iv In this research, a traditional forecasting technique, Multiple Linear Regression (MLR), was compared with a CI technique, Artificial Neural Networks. …”
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Soluble expression of plasmodium falciparum glutamine synthetase and three-dimensional structure by single particle reconstruction by Patel, Satishkumar Ishverlal

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Improving the selectivity of the radio-labelling of ion exchange resin tracers for positron emission particle tracking by Van Heerden, Michael Rudi

“…Positron emission particle tracking (PEPT) is a technique which non-invasively tracks tracer particles labelled with a positron emitting radionuclide in a system of flow. …”
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