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1.
Appl Opt ; 62(16): E125-E129, 2023 Jun 01.
Article in English | MEDLINE | ID: mdl-37706918

ABSTRACT

Rayleigh backscattering (RBS)-based distributed fiber sensors technology is becoming more and more crucial in various fields such as aerospace and defense, automotive, civil, and geotechnical. This technology is measuring the naturally occurring Rayleigh backscatter level in the optical fiber core; thus, any standard single-mode telecom optical fiber can be used. The application of distributed optical fiber strain sensing in the harsh environments of the European Organization for Nuclear Research required several mechanical tests to study the accuracy of strain sensing in cryogenic conditions. This study compares the performance of a RBS-based distributed optical fiber strain sensing down to cryogenic temperatures (4.2 K) with previously validated instrumentations such as electrical strain gauges and fiber Bragg grating technologies.

2.
Arch Intern Med ; 161(15): 1866-72, 2001.
Article in English | MEDLINE | ID: mdl-11493128

ABSTRACT

BACKGROUND: Community-acquired pneumonia frequently constitutes a nonsevere infection manageable at home. However, for these low-risk episodes, the epidemiological features have not been carefully analyzed. OBJECTIVES: To determine the cause of nonsevere community-acquired pneumonia and to investigate if a correlation exists between cause and severity or comorbidity. METHODS: During a 3-year period, all patients with nonsevere community-acquired pneumonia, according to the Pneumonia Patient Outcome Research Team prognostic classification (patients in groups 1-3), were included in the study. Causes were investigated through the following procedures: cultures of blood, sputum, and pleural fluid; serologic tests; and polymerase chain reaction methods to detect Streptococcus pneumoniae DNA in whole blood or Mycoplasma pneumoniae and Chlamydia pneumoniae DNA in throat swab specimens. RESULTS: Of 317 initially included patients, 247 were eligible for the study. A microbial diagnosis was obtained in 162 patients (66%), and the main pathogens detected were S pneumoniae (69 patients [28%]), M pneumoniae (40 patients [16%]), and C pneumoniae (28 patients [11%]). For the 58 patients in prognostic group 1, M pneumoniae was the most prevalent cause, and atypical microorganisms constituted 40 (69%) of the isolated agents. In contrast, for patients in prognostic groups 2 and 3, S pneumoniae was the leading agent, and a significant reduction of M pneumoniae cases and a greater presence of other more uncommon pathogens were observed. The existence of comorbid conditions was not a determining factor for particular causes. CONCLUSIONS: Among low-risk patients with community-acquired pneumonia, there was a certain correlation between severity and cause. In contrast, the existence of a comorbidity did not have a predictive causative value.


Subject(s)
Pneumonia, Bacterial/epidemiology , Pneumonia, Bacterial/microbiology , Adult , Aged , Chlamydophila Infections/epidemiology , Chlamydophila pneumoniae/isolation & purification , Community-Acquired Infections/epidemiology , Community-Acquired Infections/microbiology , Comorbidity , Female , Humans , Male , Middle Aged , Mycoplasma pneumoniae/isolation & purification , Pneumonia, Mycoplasma/epidemiology , Pneumonia, Pneumococcal/epidemiology , Polymerase Chain Reaction , Prognosis , Severity of Illness Index , Streptococcus pneumoniae/isolation & purification
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