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Intelligent Hello Dissemination Model for FANET Routing Protocols
Published 2022-01-01Get full text
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Bio-based and sustainable food packaging systems: relevance, challenges, and prospects
Published 2023-12-01Get full text
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Cleaner Technology and Natural Resource Management: An Environmental Sustainability Perspective from China
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Atmospherically Relevant Chemistry and Aerosol box model – ARCA box (version 1.2)
Published 2022-09-01Get full text
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Rapid urine screening for ethyl glucuronide from pregnant women as a tool for detecting prenatal alcohol exposure
Published 2023-06-01“…Methods Five hundred five urine samples of pregnant women were collected anonymously from five prenatal units in two Finnish cities: a tertiary specialist antenatal clinic for pregnant women with problematic substance use (HAL), a regular hospital antenatal clinic (LCH = Lahti Central Hospital), a prenatal screening unit and two community maternity clinics (USR = user self-recruiting units). …”
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Do LUTS Predict Mortality? An Analysis Using Random Forest Algorithms
Published 2024-02-01“…Jonne Åkerla,1,2 Jaakko Nevalainen,3 Jori S Pesonen,4 Antti Pöyhönen,5 Juha Koskimäki,1 Jukka Häkkinen,6 Teuvo LJ Tammela,1,2 Anssi Auvinen3 1Department of Urology, Tampere University Hospital, Tampere, Finland; 2Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; 3Faculty of Social Sciences, Tampere University, Tampere, Finland; 4Department of Surgery, Päijät-Häme Central Hospital, Lahti, Finland; 5Centre for Military Medicine, The Finnish Defence Forces, Riihimäki, Finland; 6Department of Urology, Länsi-Pohja healthcare District, Kemi, FinlandCorrespondence: Jonne Åkerla, Department of Urology, Tampere University Hospital, Teiskontie 35, Tampere, 33521, Finland, Tel +358 311 611, Fax +358 311 64256, Email jonne.akerla@gmail.comPurpose: To evaluate a random forest (RF) algorithm of lower urinary tract symptoms (LUTS) as a predictor of all-cause mortality in a population-based cohort.Materials and Methods: A population-based cohort of 3143 men born in 1924, 1934, and 1944 was evaluated using a mailed questionnaire including the Danish Prostatic Symptom Score (DAN-PSS-1) to assess LUTS as well as questions on medical conditions and behavioral and sociodemographic factors. …”
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Long-Term Consequences of Water Pumping on the Ecosystem Functioning of Lake Sekšu, Latvia
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Atmospherically Relevant Chemistry and Aerosol box model – ARCA box (version 1.2)
Published 2022-09-01Get full text
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Evaluating Social Impact of Smart City Technologies and Services: Methods, Challenges, Future Directions
Published 2023-03-01Get full text
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Sex Differences in Cardiovascular Outcomes of Older Adults After Myocardial Infarction
Published 2021-12-01Get full text
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