Air-soil exchange of elemental mercury vapor (Hg) is an important component in the budget of the global mercury cycle. However, its mechanistic detail is poorly understood. In this study, stable Hg isotopes in air, soil, and pore gases are characterized in a subtropical evergreen forest to understand the mechanical features of the air-soil Hg exchange. Strong Hg reduction in soil releases Hg to pore gas during spring-autumn but diminishes in winter, limiting the evasion in cold seasons. ΔHg in air modified by the Hg efflux during flux chamber measurement exhibit seasonality, from -0.33 ± 0.05‰ in summer to -0.08 ± 0.05‰ in winter. The observed seasonal variation is caused by a strong pore-gas driven soil efflux caused by photoreduction in summer, which weakens significantly in winter. The annual Hg gross deposition is 42 ± 33 μg m yr, and the corresponding Hg evasion from the forest floor is 50 ± 41 μg m yr. The results of this study, although still with uncertainty, offer new insights into the complexity of the air-surface exchange of Hg over the forest land for model implementation in future global assessments.
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http://dx.doi.org/10.1021/acs.est.1c02744 | DOI Listing |
Int Urol Nephrol
December 2024
Yokosuka Urogynecology and Urology Clinic, Ootaki 2-6, Yokosuka, Kanagawa, 238-0008, Japan.
Purpose: To evaluate two primary outcomes in elite female athletes (EFAs) with severe stress urinary incontinence (SUI) 24 months post-intervention: return to elite-level competition and improvement in SUI symptoms. Clustering analysis was conducted to identify subgroups within the patient population and explore treatment efficacy.
Methods: A retrospective analysis was performed on 183 EFAs with severe SUI who underwent treatments including pelvic floor muscle training (PFMT), vaginal and urethral erbium laser (Fotona Laser), and mid-urethral sling (MUS) surgery.
Environ Int
December 2024
Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, 1st Floor, Nankai University Press, No.94 weijin Road, Nankai District, Tianjin 300071, China. Electronic address:
Tire wear particles (TWPs) are generated with every rotation of the tire. However, obtaining TWPs under real driving conditions and revealing key factors affecting TWPs are challenging. In this study, we obtained a TWPs dataset by simulating tire wear process under real driving conditions using a tire wear simulator and custom-designed test conditions.
View Article and Find Full Text PDFBMC Anesthesiol
December 2024
Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, 1th floor, No 21, Darband St., Tajrish sq., Tehran, Iran.
Background: To protect patients during anesthesia, difficult airway management is a serious issue that needs to be carefully planned for and carried out. Machine learning prediction tools have recently become increasingly common in medicine, frequently surpassing more established techniques. This study aims to utilize machine learning techniques on predictive parameters for challenging airway management.
View Article and Find Full Text PDFUrogynecology (Phila)
December 2024
From the Wake Forest Baptist Health, Winston Salem, NC.
Importance: Limited evidence exists on the effect of combined native tissue vaginal prolapse repair with midurethral sling on urgency urinary incontinence (UUI) symptoms.
Objectives: This study aimed to evaluate the effect of combined native tissue vaginal prolapse repair with midurethral sling on UUI symptoms at 12 months postoperatively and identify risk factors for persistent UUI.
Study Design: This secondary analysis utilized data from a randomized trial comparing retropubic versus single-incision slings in women undergoing treatment of stress incontinence and vaginal prolapse with native tissue vaginal repair and midurethral sling.
PLoS One
December 2024
Department of Medical Ultrasonics, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Background: Forecasting the patient's response to neoadjuvant chemoradiotherapy (nCRT) is crucial for managing locally advanced rectal cancer (LARC). This study investigates whether a predictive model using image-text features extracted from endorectal ultrasound (ERUS) via Contrastive Language-Image Pretraining (CLIP) can predict tumor regression grade (TRG) before nCRT.
Methods: A retrospective analysis of 577 LARC patients who received nCRT followed by surgery was conducted from January 2018 to December 2023.
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