Publications by authors named "L F van der Gang"

Objectives: The objective of this study was to identify and analyse the distribution characteristics, toxin genotyping and antimicrobial susceptibility of Clostridium perfringens and to investigate its resistance mechanisms and genetic characteristics.

Methods: The MICs of various antibiotics against C. perfringens were determined using the agar dilution method, and resistance genes and toxin genotypes were detected by PCR.

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  • Cell motility boosts bacterial fitness, with a focus on the transcriptional regulator CdsR, which represses autolysis and promotes spore formation in Bacillus thuringiensis.
  • Mutations in the cdsR gene increase cell mobility by upregulating several related genes, particularly those in the fla/che gene cluster that are crucial for motility.
  • CdsR directly regulates multiple operons related to cell movement and is inhibited by copper ions, highlighting its role as a metalloregulator and advancing understanding of bacterial motility control.
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  • Atopic dermatitis (AD) significantly impacts patients' quality of life, and the Atopic Dermatitis Control Tool (ADCT) is used to measure how well it's being managed in adults.
  • A study involving 863 participants revealed that 59% had controlled AD, while those with uncontrolled AD had higher symptom severity and were more likely to be using topical treatments only.
  • The findings suggest that shifting treatment strategies from topical to systemic therapies might benefit patients struggling with uncontrolled AD symptoms.
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This paper focuses on the neutron spectrum measurement using a liquid scintillation detector, where the neutron spectrum could be identified and unfolded from the light output distribution of the EJ-301 liquid scintillation detector through a linear artificial neural network (ANN). The response functions of the EJ-301 detector for monoenergetic neutron sources, as well as the light outputs, have been simulated and calculated by Monte Carlo procedure FLUKA. The linear ANN was trained and tested through the simulated data, where response functions were set as the input of ANN and the corresponding neutron spectra were output.

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  • Green mining focuses on reducing the environmental impact of mining, with key efforts on optimizing working face height and length to minimize surface subsidence.
  • The study examined the surface movement and subsidence characteristics of an 8.8 m high working face at Shangwan Coal Mine, finding a maximum subsidence of 6.20 m and a subsidence coefficient of 0.72.
  • Results highlighted that 34% of the working face's subsidence basin and 64% of the surface was affected by continuous deformation, with fracture zones identified, providing important data for future mining operations and surface management strategies.
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