Publications by authors named "P C"

Introduction Cytomegalovirus (CMV) is often associated with mortality and significant morbidity following renal transplantation leading to graft rejection or dysfunction. Primary CMV infection refers to the first detection of the virus in a person who has no prior evidence of CMV exposure before transplantation. CMV has a unique property called latency.

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Human activity exposes organisms in marine ecosystems to numerous stressors, including rising seawater temperatures and antibiotic contamination. The present study investigated the impacts of environmentally relevant concentrations of the fluoroquinolone (FQ) antibiotic enrofloxacin (ENR), specifically 5 and 500 ng/L, in Mytilus galloprovincialis under ambient (20 °C) and predicted warming (25 °C) conditions after 14 days of exposure, followed by a 14-day recovery period in the absence of ENR. The chemical analyses revealed significant variability in bioaccumulation in mussel tissues.

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Background: Community pharmacists are underutilized in assisting patients with cardiovascular diseases within pharmacy settings. Monitoring and controlling cardiovascular risks could prevent deaths globally and save public health expenses. The aim of this study is to verify how self-care can impact the quality of life of patients with cardiovascular diseases.

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In this work a novel control scheme for the three-phase dynamic voltage restorer has been proposed and validated. The proposed control strategy guarantees the source current waveform to be sinusoidal and at near unity power factor. Further, the voltage sag and swell occurring in the source are overcome and the load gets a smooth power supply at a voltage closer to the rated voltage even in the face of voltage sag or swell occurring in the source.

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Article Synopsis
  • This study explores automated methods for assessing the accuracy of beam delivery in Pencil Beam Scanning (PBS) proton therapy using irradiation log files and machine learning (ML) models.
  • By analyzing 935 clinical treatment fields, the research found over 99.5% accuracy in spot positions and ML models effectively predicted spot sizes within 10% of expected baselines.
  • The proposed automation methods can enhance quality assurance processes and provide a faster alternative for patient-specific QA and routine evaluations in proton therapy.
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