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Personal monitors based on unipolar diffusion charging (miniDiSC/DiSCmini, NanoTracer, Partector) can be used to assess the individual exposure to nanoparticles in different environments. The charge acquired by the aerosol particles is nearly proportional to the particle diameter and, by coincidence, also nearly proportional to the alveolar lung-deposited surface area (LDSA), the metric reported by all three instruments. In addition, the miniDiSC/DiSCmini and the NanoTracer report particle number concentration and mean particle size. In view of their use for personal exposure studies, the comparability of these personal monitors was assessed in two measurement campaigns. Altogether 29 different polydisperse test aerosols were generated during the two campaigns, covering a large range of particle sizes, morphologies and concentrations. The data provided by the personal monitors were compared with those obtained from reference instruments: a scanning mobility particle sizer (SMPS) for LDSA and mean particle size and a ultrafine particle counter (UCPC) for number concentration. The results indicated that the LDSA concentrations and the mean particle sizes provided by all investigated instruments in this study were in the order of ±30% of the reference value obtained from the SMPS when the particle sizes of the test aerosols generated were within 20-400nm and the instruments were properly calibrated. Particle size, morphology and concentration did not have a major effect within the aforementioned limits. The comparability of the number concentrations was found to be slightly worse and in the range of ±50% of the reference value obtained from the UCPC. In addition, a minor effect of the particle morphology on the number concentration measurements was observed. The presence of particles >400nm can drastically bias the measurement results of all instruments and all metrics determined.
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http://dx.doi.org/10.1016/j.scitotenv.2017.06.041 | DOI Listing |
J Orthop Res
September 2025
Department of Kinesiology, College of Health Sciences, University of Rhode Island, Kingston, Rhode Island, USA.
Arthroplasty surgery is a common and successful end-stage intervention for advanced osteoarthritis. Yet, postoperative outcomes vary significantly among patients, leading to a plethora of measures and associated measurement approaches to monitor patient outcomes. Traditional approaches rely heavily on patient-reported outcome measures (PROMs), which are widely used, but often lack sensitivity to detect function changes (e.
View Article and Find Full Text PDFAnn Surg Oncol
September 2025
Department of Surgery, Division of Surgical Oncology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.
Bariatric surgery is an effective treatment for morbid obesity, but patient outcomes differ greatly because of a variety of phenotypes, comorbidities, and postoperative adherence. In bariatric care, artificial intelligence (AI) and machine learning (ML) are becoming revolutionary tools because traditional predictive models based on BMI and demographic variables are unable to account for these complexities. To put it simply, AI is a branch of computer science that enables machines to perform tasks that typically require human intelligence.
View Article and Find Full Text PDFJ Cardiothorac Vasc Anesth
August 2025
Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address:
Objective: To compare postoperative outcomes between combined fascia iliaca compartment-sciatic nerve blockade (FICB-SNB) and monitored anesthesia care (MAC) in patients with chronic limb-threatening ischemia (CLTI) undergoing lower-extremity revascularization (LER).
Design: Retrospective matched cohort study (1:1 propensity score matching).
Setting: Single-center analysis of CLTI patients undergoing LER.
Nihon Shokakibyo Gakkai Zasshi
September 2025
Department of Pathology, Japanese Red Cross Okayama Hospital.
An 86-year-old woman was under follow-up at the Breast Surgery Department of our hospital for postoperative treatment for right breast cancer. During this period, a 22-mm cystic mass was identified in the pancreatic head. Its size gradually increased, and she was eventually referred to our department.
View Article and Find Full Text PDF