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Our previous study revealed that elevated C-C motif chemokine ligand 2 (CCL2) secretion by irradiated cancer cells recruited C-C motif chemokine receptor 2 (CCR2)-positive myeloid cells and polarized M2-type tumor-associated macrophages (TAMs), promoting lung metastasis in an established mouse model. This study investigated the impact of CCL2 and TAMs on adaptive immunity. We assessed the influence of CCL2 and TAMs on adaptive immunity through two ectopic allograft mouse models constructed with MB49 bladder cancer cells and Lewis lung carcinoma cells. Both models exhibited delayed primary tumor growth following radiation therapy (RT), but RT promoted the development of pulmonary metastases in C57BL/6 mice. Additionally, we employed a direct coculture system to investigate the interaction between macrophages and target cells in the context of adaptive immunity. C-C motif chemokine receptor 4 (CCR4)-positive regulatory T cells (Tregs) were recruited to the postirradiated tumor microenvironment (TME). Utilizing a CCR4 antagonist to inhibit CCL2-CCR4 activation reversed the infiltration of CCR4 + Tregs and reduced the incidence of pulmonary metastases. In addition, a positive feedback loop between M2-type TAMs and Tregs was observed. The combined blockade of the CCL2-CCR4 and CCL2-CCR2 signaling pathways further decreased the risk of RT-promoted lung metastasis. The recruitment of CCR4 + Tregs to the postirradiated TME increases the metastatic potential of tumor cells through increased interactions with M2-type TAMs. A significant reduction in post-RT lung metastases in ectopic mouse models was achieved by disrupting the recruitment of both CCR4 + Tregs and CCR2 + myeloid cells, which are TAM precursors. • Murine ectopic MB49 allograft simulates RT-promoted lung metastases. • RT-induced CCL2 recruits both CCR2 + TAMs and CCR4 + Tregs in the TME. • Mutually induced transformation between Treg and M2-TAM enhances lung metastasis. • Dual blockade of CCL2-CCR4 and CCL2-CCR2 pathways reduces lung metastasis. [ABSTRACT FROM AUTHOR]

In this study, three cases of rough-sea navigation in the Southern Hemisphere were reproduced using the National Oceanic and Atmospheric Administration's WAVEWATCH III. Different wind inputs with various spatial and temporal resolutions were considered, originating from the National Centers for Environmental Prediction Final (NCEP-FNL) Operation Model Global Tropospheric Analyses, the European Center for Medium-range Weather Forecasts Interim Reanalysis (ERA-Interim), and the Weather Research and Forecasting (WRF) model. The simulated waves (wave hindcasts) were validated using measured onboard ship motion data. Comparisons of measured and simulated pitch motion indicated that each of the different wind inputs produced reasonable first-order estimates of rough waves. However, for application to a ship's weather routing systems, wind input selection should be carefully considered. For example, near-surface winds from the ERA-Interim underestimated rough waves, while those from the NCEP-FNL Analyses had a contrary tendency. In addition, although the wind inputs from the ERA-Interim produced wave hindcasts that is more consistent with measured results, these same inputs generally underestimated the increasing-phase pitch motion under severe weather conditions, which poses a danger for ships. Thus, the use of wind inputs from NCEP-FNL Analyses or higher-resolution WRF model is recommended for application to ship weather routing systems. [ABSTRACT FROM AUTHOR]

Abstract: The plume of the Changjiang River in the East China Sea is the site of many interesting oceanographic and hydraulic processes. The improved COHERENS model is used to understand the dispersal and mixing processes, stratification, and circulation within the plume of the partially-mixed Changjiang River estuary during the spring tide under 6 m s−1 of prevailing south–southeasterly steady winds in the flood season. Modeled results show: (i) a part of the surface Changjiang River plume expands eastwardly and southeastwardly in the form of cloudy patchiness; (ii) the low salinity patch in the east offshore area, which is enhanced by winds; (iii) there is an increase in the thickness of the upper buoyant plume within the partially-mixed Changjiang River estuary; (iv) the stratification is enhanced by winds within the plume of the partially-mixed Changjiang River estuary; (v) modeled stratification parameter (ϕ) ranges from 50 to 450 J m−3; and (vi) the longitudinal landward and seaward estuarine circulations. [Copyright &y& Elsevier]

Maritime transportation is becoming increasingly complex owing to the fluctuation of oil prices, the introduction of environmental guidelines, and the onset of climate change. Although optimal routing has been researched for decades, few studies have investigated speed loss in rough waves for ships with blunt shape and low speed. Onboard measurement of a 28,000DWT bulk carrier has been conducted for six years in rough sea voyages in the Southern Hemisphere. It is necessary to validate the wave and wind conditions in order to discuss speed loss in these situations. Here, numerical simulation of speed loss is developed and conducted for each estimated wave condition. The speed losses under different numerical models of added resistance are quantitatively compared in two rough sea voyages. The simulated results of speed loss are in good agreement with the measured results if the estimated wave is accurate and the wave direction is properly defined. The speed loss accuracy is significantly influenced by the wave estimation accuracy or wave direction setting compared to that in the numerical models of added resistance in actual seas. Simulated results provide important information to evaluate the performance of a ship with blunt shape in rough waves. [ABSTRACT FROM AUTHOR]