Publications by authors named "K E Kowalski"

Article Synopsis
  • The study investigates how remote ischemic preconditioning (RIPC) affects tryptophan (TRP) and its metabolites (kynurenines) in semi-professional long-distance runners after intense exercise.
  • A total of 27 runners were divided into a RIPC group and a placebo (SHAM) group, with blood samples taken at various times to analyze changes in TRP and kynurenines post-exercise.
  • Results showed that the RIPC group had lower levels of certain kynurenines and a higher decrease in TRP after exercise, suggesting RIPC could influence brain health, though more research is necessary.
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Hypertrophic Cardiomyopathy (HCM) is often caused by heterozygous mutations in β-myosin heavy chain (MYH7, β-MyHC). In addition to hyper- or hypocontractile effects of HCM-mutations, heterogeneity in contractile function (contractile imbalance) among individual cardiomyocytes was observed in end-stage HCM-myocardium. Contractile imbalance might be induced by burst-like transcription, leading to unequal fractions of mutant versus wildtype mRNA and protein in individual cardiomyocytes (allelic imbalance).

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Introduction: Despite the high hopes for the use of transcranial magnetic stimulation (TMS) in the treatment of depression, between 30% and 60.5% of patients do not respond to stimulation. The factors contributing to non-response, especially those related to personality, remain insufficiently investigated.

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Article Synopsis
  • The paper reviews the real-time equation-of-motion coupled-cluster (RT-EOM-CC) cumulant Green's function approach, highlighting its potential uses and limitations compared to the original time-dependent coupled cluster (TDCC) method.
  • An enhanced double TDCC ansatz is proposed to improve accuracy in expansion limits, while a new cluster-analysis method is introduced to better identify peaks in the spectral function, especially useful for understanding complex many-body effects.
  • Initial tests apply this RT-EOM-CC approach to single impurity Anderson models, allowing for comparisons with other Green's function methods to evaluate effectiveness and accuracy in producing impurity Green's functions.
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