Publications by authors named "J R Kuipers"

Article Synopsis
  • Reactive arthritis (ReA) is a condition caused by an external infection that leads to joint inflammation without detectable pathogens, indicating a possible ongoing interaction between the host and pathogen remnants.
  • The main trigger for classical ReA is bacterial infections, often from urogenital or gastrointestinal sources, with common pathogens including Chlamydia species and enterobacteria.
  • Diagnosis relies on clinical symptoms, evidence of prior infection, and ruling out other arthritis types, while treatment focuses on managing inflammation with NSAIDs and other immunomodulators; antibiotics do not typically help reduce the disease duration.
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Article Synopsis
  • - This study aimed to create a convolutional neural network (CNN) to detect and classify fractures, focusing on specific characteristics like greater tuberosity displacement and neck-shaft angle, using plain X-rays.
  • - The CNN was trained with over 1,700 X-rays from Australia and validated with data from the Netherlands, comparing results with CT scans evaluated by experts.
  • - The CNN demonstrated a high detection accuracy of 94% for fractures, but less effectiveness in identifying specific fracture characteristics, particularly showing lower performance for greater tuberosity displacement and neck-shaft angles.
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  • Deep single-cell multi-omic profiling is an innovative method to study drug resistance in relapsed or refractory acute myeloid leukemia (AML).
  • The research combines various single-cell analyses and clinical data from 21 patients, revealing that treatment with both a hypomethylating agent and the Bcl-2 inhibitor venetoclax leads to reduced drug responsiveness compared to other treatment sequences.
  • The study identifies both known and new resistance mechanisms, suggesting alternative therapies like the PLK inhibitor volasertib and highlighting the potential of targeting CD36 in treatment-resistant AML blasts.
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In this work, a 3D pore network model (PNM) is introduced for modeling reaction-diffusion phenomena, with and without coupled heat transfer, in a spherical porous catalyst particle. The particle geometry is generated by packing thousands of microspheres inside a large sphere to represent the 3D geometry, porosity, and tortuosity of a spherical catalyst particle. A pore-network representation is extracted from this geometry, and a PNM for diffusion-reaction and heat conduction is constructed.

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The bacterial pathogen Staphylococcus aureus employs a thick cell wall for protection against physical and chemical insults. This wall requires continuous maintenance to ensure strength and barrier integrity, but also to permit bacterial growth and division. The main cell wall component is peptidoglycan.

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