Microplastic transport in the marginal seas is a key process influencing their ultimate fate in the open oceans. In the present study, we collected seawater samples from the western Pacific Ocean (WP) and the South China Sea (SCS) to investigate the distribution, transport, and possible sources for microplastics. Generally, the range of microplastic levels were 187-1816, 146-1563, and 34.2-622 particles/m (averaged in 797 ± 512, 744 ± 330, and 201 ± 134 particles/m) for the northern SCS, the western SCS, and the WP, respectively. Based on the size distribution, the highest value (390 ± 288 particles/m) was found for 100-200 μm, followed by 200-500 μm (131 ± 155 particles/m), and 500-1000 μm (29.7 ± 39.2 particles/m), with the lowest for 1-5 mm (13.6 ± 14.2 particles/m). Granule, yellow, and size <1000 μm were their most prevalent characteristics. The main polymer types of microplastics were polyester, rayon, and nylon. A negative correlation between microplastic proportion and particle size was observed in the SCS and the WP. Furthermore, the main sources of microplastics in the northern SCS probably came from the Pearl River. Surface currents and the vertical mixing processes might be two different mechanisms that affect microplastic transport from the WP and the SCS. Future comparison to measured particle size distributions data allows us to explain size-selective microplastic transport in the marine environment, and probably provide guidance on microplastic longevity.
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http://dx.doi.org/10.1016/j.chemosphere.2022.134456 | DOI Listing |
Pulmonary arterial hypertension (PAH) is a chronic progressive exacerbation of cardiopulmonary vascular disease. The patients' exercise endurance decreased progressively and the survival rate was low. Current basic therapy and targeted drug therapy can improve the quality of life (QoL) of PAH patients, but the long-term efficacy and prognosis are not good.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Objective: To assess the cost-effectiveness of combining camrelizumab with rivoceranib versus sorafenib as initial treatment options for advanced hepatocellular carcinoma (HCC) across different developmental regions in China.
Methods: Utilizing TreeAge Pro and data from the phase III randomized CARES-310 clinical trial, a model based on Markov state transitions was developed. Health state utility values were derived from the CARES-310 trial, and direct medical costs were obtained from relevant literature and local pricing data.
Arthrosc Tech
November 2024
The Second Affiliated Hospital, Department of Joint Surgery, Hengyang Medical School, University of South China, Hengyang, China.
At present, suture bridge is a feasible choice in the treatment of massive rotator cuff tears (MRCTs). However, high tension on the repair site and medial tension during suture tightening and after medial knotting are unavoidable problems in MRCT repair with a suture bridge. Arthroscopic V-shaped double-pulley suture-bridge repair is a pragmatic surgical technique for the repair of MRCTs.
View Article and Find Full Text PDFDigit Health
December 2024
Pediatric Department, Faculty of Nursing, Khonkaen University, Khonkaen, Thailand.
Objective: This study aims to evaluate the effectiveness of digital health interventions compared to standard care in promoting exclusive breastfeeding (EBF) among postpartum women in low-and middle-income countries (LMICs).
Methods: The PRISMA guidelines of reporting were followed for the searching of four databases and screening following eligibility criteria: articles presenting digital health interventions, conducted as randomized control trials (RCTs), quasi-experimental, or mixed-method studies, reporting on EBF duration and early initiation of breastfeeding, and published in the English language were included.
Results: Of 1595 articles screened, only 10 published between 2013 and 2023 met the criteria.
Digit Health
December 2024
School of Public Administration, Central South University, Changsha, Hunan, China.
Objective: To evaluate the service quality of integrated health and social care institutions for older adults in residential settings in China, addressing a critical gap in the theoretical and empirical understanding of service quality assurance in this rapidly expanding sector.
Methods: This study employs three machine learning algorithms-Backpropagation Neural Networks (BPNN), Feedforward Neural Networks (FNN), and Support Vector Machines (SVM)-to train and validate an evaluative item system. Comparative indices such as Mean Squared Error, Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and predictive performance metrics were employed to assess the models.
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