Current Science

The Mechanism of CCR5 in Tumors and Therapeutic Strategies

2026-05-20T14:57:06+00:00

With the continuous development of immunotherapy technology, immunotherapy has gradually become a key means of cancer treatment. Among them, chemokine receptor 5 (CCR5) can regulate immune responses and is an important target for a variety of tumor immunotherapies. CCR5 belongs to the β chemokine receptor family, a seven-transmembrane G protein-coupled receptor that is widely expressed in a variety of immune cells and tumor cells and is involved in tumorigenesis and tumor progression. CCR5 is aberrantly expressed in a variety of solid tumors (such as breast cancer, gastrointestinal cancer, pancreatic cancer, colon cancer, prostate cancer, melanoma) and hematologic malignancies, and is closely related to the poor prognosis of tumors by recruiting immune cells and regulating the tumor microenvironment, promoting tumor proliferation, invasion and metastasis. At present, initial results have been achieved in the treatment of CCR5-targeted tumors, and small molecule inhibitors of CCR5 such as leronlimab, maraviroc and vicriviroc have entered clinical studies. This article reviews the mechanism of CCR5 in tumorigenesis and progression, as well as the development history and application prospects of CCR5-targeted therapy strategies.

A Multi-Scale Spatiotemporal Feature Self-Adaptive Fusion Model for Traffic Flow Prediction

2026-05-26T14:46:39+00:00

Accurate short-term traffic flow prediction remains challenging because of the nonlinear, multi-scale and spatiotemporally coupled nature of traffic data. To address these issues, this study proposes a multi-scale spatiotemporal feature adaptive fusion model, termed MSCA-Former. The model employs a multi-branch convolution structure to capture spatial features under different receptive fields, introduces an SE-based channel recalibration mechanism to enhance informative features adaptively, and incorporates a cross-time residual enhancement module to strengthen temporal dependency modelling. In addition, an adaptive feature fusion strategy is designed to improve the integration of spatial and temporal representations. Experiments on four public datasets, namely PEMS03, PEMS04, PEMS07 and PEMS08, show that the proposed model consistently outperforms seven representative baseline models. In particular, on the PEMS08 dataset, the proposed model reduces MAE, RMSE and MAPE by 7.5%, 12.0% and 8.6%, respectively, compared with the best baseline model. On the PEMS04 dataset, the corresponding reductions in MAE and MAPE are 7.6% and 4.1%, respectively. Ablation studies further confirm that the multi-branch convolution structure, channel recalibration mechanism and cross-time residual enhancement module all contribute positively to the overall model performance. These results indicate that MSCA-Former can effectively improve the representation and prediction of complex traffic flow patterns, providing an effective approach for short-term traffic flow forecasting in intelligent transportation systems.

Research on Surface Structure Optimization and Water Film Phase Change of Plate-Tube Evaporative Condenser

2026-06-02T02:02:19+00:00

To investigate the flow and heat transfer characteristics of a plate-fin evaporative condenser and to optimize its internal cavity structure, this study employs a combination of experimental methods and numerical simulations based on the commercial software Fluent. A mathematical model describing the gas-liquid two-phase flow is established, and the heat transfer performance of the heat exchanger is thoroughly examined. By comparing the experimental results with the simulation outcomes, good agreement is found in key parameters, which validates the accuracy and reliability of the numerical model. Based on this, the study analyzes the variation of the Nusselt number on the plate surface and the distribution characteristics of the water film under different Reynolds numbers. Consequently, the optimal cavity depth is determined to be H=2.0, and the optimal small diameter is D1=6mm. Under these optimal structural conditions, the influence of ten different inlet Reynolds numbers (ranging from 3500 to 13500) on the water film thickness is further investigated. The results indicate that as the Reynolds number increases, the water film thickness initially increases and then gradually tends to stabilize; that is, once the Reynolds number reaches a certain value, the growth rate of the water film thickness slows down significantly and approaches a constant value.

Macroeconomic Costs and Benefits of Energy Storage Configuration in China: Evidence from a Storage-Augmented Multi-Regional CGE Framework

2026-06-08T11:23:09+00:00

Energy storage is usually evaluated as a power-system flexibility technology, but its economy-wide value also depends on investment demand, electricity-cost pass-through, renewable curtailment, sectoral output and interregional trade. This paper develops a transparent storage-augmented multi-regional computable general equilibrium (CGE) framework for China and applies it to a counterfactual experiment for 2024-2035. The framework explicitly separates public 2024 data anchors, calibrated regional-sectoral inputs, exogenous scenario assumptions and deterministic model outputs. The benchmark uses official GDP, macro-regional GDP, electricity consumption, renewable generation, renewable utilization and new-type energy-storage statistics. The 2035 values are not observed data or point forecasts; they are model-generated counterfactual outcomes under stated allocation rules, battery-cost assumptions and storage-coordination parameters. The model links a compact four-region, eight-sector SAM/MRIO benchmark with a storage-augmented electricity module in which storage affects effective variable renewable electricity through curtailment reduction, peak-cost smoothing and interregional balancing. Five scenarios are evaluated: business-as-usual growth, economically sized storage, resource-targeted storage, coordinated allocation and accelerated high deployment. In the central experiment, coordinated allocation reaches 320 GW and 1280 GWh of new-type energy storage by 2035, lowers the electricity-cost index to 97.4 relative to BAU, reduces the wind-solar curtailment proxy to 4.6%, and raises equivalent variation by 0.47%. The accelerated high-deployment scenario installs more capacity but produces a smaller welfare gain. Additional decomposition and robustness checks show that this ranking is driven by the interaction of allocation quality, coordination and investment crowding rather than by an assumed capacity target alone. The paper contributes a reproducible data pipeline, an explicit storage-CGE accounting structure and regional allocation rules that can be extended with a full provincial SAM and hourly dispatch module.