Process-based modeling to reveal spatio-temporal variations of coastal wetland-mediated nutrient removal.

Nutrient pollution intensifies the strain on coastal ecosystems globally. Despite wetlands' significant nutrient removal potential, process-based assessments of nutrient removal in large-scale coastal wetlands face limitations that hinder accurate quantification of water quality improvements. This study proposes a novel quantitative approach by developing a coupled hydrodynamic-water quality-wetland biogeochemical model.

Quantitatively unveiling the role of coastal wetlands in regulating eutrophication and enhancing water environmental capacity.

Human activities have intensified the global challenge of coastal eutrophication. Recently, water resource managers have encountered difficulties in formulating precise pollutant reduction strategies to mitigate coastal eutrophication. Despite the recognized importance of coastal wetlands and pollution sources in influencing coastal nutrient levels, accurately quantifying their impact remains difficult.

Sea-level rise versus salt marsh colonization: The adversarial game of self-organized elevation maintenance in tidal marsh.

Tidal marshes globally face escalating threats from rising sea levels. As critical determinants of tidal marsh platform elevation maintenance, the contributions of marsh soil compaction and subsidence (SCS) are often overshadowed by vertical accretion (VA). Here, we reveal the pervasive presence of the SCS within tidal marshes and its driving forces.

Global, regional, and national burden of female cancers in women of child-bearing age, 1990-2021: analysis of data from the global burden of disease study 2021.

Background: The global status of women's health is underestimated, particularly the burden on women of child-bearing age (WCBA). We aim to investigate the pattern and trend of female cancers among WCBA from 1990 to 2021.

Methods: We retrieved data from the Global Burden of Disease Study (GBD) 2021 on the incidence and disability-adjusted life-years (DALYs) of four major female cancers (breast, cervical, uterine, and ovarian cancer) among WCBA (15-49 years) in 204 countries and territories from 1990 to 2021.

Global and regional burden estimation of HIV-associated non-Hodgkin's lymphoma: a meta-analysis and modelling analysis protocol.

Introduction: HIV infection is one of the complex aetiologies of non-Hodgkin's lymphoma (NHL). However, the contribution of HIV to burden of NHL across time and region has not yet been comprehensively reported and quantified. Thus, this study aims to evaluate the relative risk of NHL in individuals with HIV infection compared with those without by performing a comprehensive meta-analysis.

Case report: Concurrent intrathecal and intravenous pembrolizumab for metastatic melanoma with leptomeningeal disease.

Leptomeningeal disease (LMD) is a serious cancer complication associated with poor prognosis. Approximately 5%-25% of patients with melanoma develop LMD. Currently, no standard treatment protocol exists and very few cases have been reported.

Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling study.

Background: Human immunodeficiency virus (HIV) significantly increases the risk of non-Hodgkin lymphoma (NHL) development, yet the population-level impact on NHL burden is unquantified. We aim to quantify this association and estimate the global burden of HIV-associated NHL.

Methods: In this meta-analysis, we searched five databases (PubMed, EMBASE, Cochrane Library, Web of Science, Scopus) from database inception up to September 13, 2023, identifying cohort, case-control, or cross-sectional studies with an effective control group to assess NHL risk among individuals with HIV infection, with two authors extracting summary data from reports.

Depositional dynamics and vegetation succession in self-organizing processes of deltaic marshes.

Global deltaic marshes are currently facing a multitude of pressures, including insufficient sediment supply, rising sea levels, and habitat loss. Consequently, unraveling the internal regulatory mechanisms within deltaic marshes is of paramount importance. Here, we harness years of observational data and high-resolution numerical models to uncover depositional dynamics and vegetation succession in self-organizing processes of deltaic marshes.

Quantifying the Impact of Hydrological Connectivity on Salt Marsh Vegetation in the Liao River Delta Wetland.

Unlabelled: Salt marshes play a critical role in ecological functioning and have significant economic value. Hydrological elements are considered to be one of the major contributors to salt marsh degradation. However, how hydrological connectivity affects salt marshes remains poorly investigated at fine scales.

Case report of retroperitoneal ectopic pancreas with adrenal adenoma.

Background: Ectopic pancreas is a congenital anomaly in which pancreatic tissue is anatomically separated from the main gland and without vascular or ductal continuity. A case of retroperitoneal ectopic pancreas with adrenal adenoma has never yet been reported.

Case Presentation: A 54-year-old man presented three masses in the left retroperitoneum, and two of them were resected.

Development and evaluation of a GPU-based coupled three-dimensional hydrodynamic and water quality model.

In this study, a graphics processing unit (GPU)-based three-dimensional coupled hydrodynamic and water quality numerical model (GPUOM-WQ) was developed for the first time, which introduces pollution sources of atmospheric deposition, aquaculture wastewater, and oil platform emission to describe marine pollution comprehensively. A test case with analytical solutions and a real case with measured data were used to validate the accuracy of GPUOM-WQ. Simulation results indicate that the maximum error between the numerical and analytical solutions is 0.

Optical storage of Ince-Gaussian modes in warm atomic vapor.

We report on the optical storage of Ince-Gaussian modes in a warm rubidium vapor cell based on electromagnetically induced transparency protocol, and we also qualitatively analyze how atomic diffusion affects the retrieved beams after storage. Ince-Gaussian modes possess very complex and abundant spatial structures and form a complete infinite-dimensional Hilbert space. Successfully storing such modes could open up possibilities for fundamental high-dimensional optical communication experiments.

Parameter optimization method for the water quality dynamic model based on data-driven theory.

Parameter optimization is important for developing a water quality dynamic model. In this study, we applied data-driven method to select and optimize parameters for a complex three-dimensional water quality model. First, a data-driven model was developed to train the response relationship between phytoplankton and environmental factors based on the measured data.