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Open AccessA prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests
The pharmaceutical industry is continually striving to innovate drug development and formulation processes. Orally disintegrating tablets (ODTs) have gained popularity due to their quick release and patient-fr...
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Article
Breast cancer prediction using different machine learning methods applying multi factors
Breast cancer (BC) is a multifactorial disease and is one of the most common cancers globally. This study aimed to compare different machine learning (ML) techniques to develop a comprehensive breast cancer ri...
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Article
Poromechanics Constitutive Relations and Analytical Solution for Nonlinear Gas Transport and Sorption in Deformable Rocks
Flow of gas through porous media can be coupled with sorption against the pore walls and deformation of the solid phase. This paper presents a thermodynamic description of the described three-way coupling in p...
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Article
Cross-Scale Geomechanics of Wellbores in Depleted Reservoirs
Uniaxial models are commonly used to describe the change in magnitude of horizontal principal stresses in depleted reservoirs and consequently to analyze the stability of infill wellbores. The accuracy of the...
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Article
Open AccessRedox-sensitive doxorubicin liposome: a formulation approach for targeted tumor therapy
In this study redox-sensitive (RS) liposomes manufactured using 10,10′-diselanediylbis decanoic acid (DDA), an organoselenium RS compound, to enhance the therapeutic performance of doxorubicin (Dox). The DDA s...
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Article
The dilative intake of poroelastic inclusions an alternative to the Mandel–Cryer effect
This study examines the time-dependent poromechanics behavior of a fluid-saturated spherical inclusion embedded inside a fluid-saturated porous medium with different poroelastic properties. Both media comprise...