Metal-polyphenol-network coated CaCO3 as pH-responsive nanocarriers to enable effective intratumoral penetration and reversal of multidrug resistance for augmented cancer treatments

Construction of multifunctional stimuli-responsive nanotherapeutics enabling improved intratumoral penetration of therapeutics and reversal of multiple-drug resistance (MDR) is potent to achieve effective cancer treatment. Herein, we report a general method to synthesize pH-dissociable calcium carbonate (CaCO₃) hollow nanoparticles with amorphous CaCO₃ as the template, gallic acid (GA) as the organic ligand, and ferrous ions as the metallic center via a one-pot coordination reaction. The obtained GA–Fe@CaCO₃ exhibits high loading efficiencies to both oxidized cisplatin prodrug and doxorubicin, yielding drug loaded GA–Fe@CaCO₃ nanotherapeutics featured in pH-responsive size shrinkage, drug release, and Fenton catalytic activity. Compared to nonresponsive GA–Fe@silica nanoparticles prepared with silica nanoparticles as the template, such GA–Fe@CaCO₃ confers significantly improved intratumoral penetration capacity. Moreover, both types of drug-loaded GA–Fe@CaCO₃ nanotherapeutics exhibit synergistic therapeutic efficacies to corresponding MDR cancer cells because of the GA–Fe mediated intracellular oxidative stress amplification that could reduce the efflux of engulfed drugs by impairing the mitochondrial-mediated production of adenosine triphosphate (ATP). As a result, it is found that the doxorubicin loaded GA–Fe@CaCO₃ exhibits superior therapeutic effect towards doxorubicin-resistant 4T1 breast tumors via combined chemodynamic and chemo-therapies. This work highlights the preparation of pH-dissociable CaCO₃-based nanotherapeutics to enable effective tumor penetration for enhanced treatment of drug-resistant tumors.

     

Numerical Simulation of Thermal Stress Fields in the Magnetic Quenching Process of 45 Steel

Based on a transient temperature distribution of a 45 steel cylinder workpiece during magnetic quenching, which was obtainedby solving the governing equations with nonlinear boundary on the condition of coupling effects of heat-magnetism. Accordingto the     

有机纤维材料用软膜乳液阻燃剂的制备

采用甲醛、尿素、三聚氰胺、脒基脲磷酸盐为原料,以硼砂、硼酸、氨水为pH调节剂合成了保护胶;在保护胶存在下,以预乳化的丙烯酸酯混合单体于82-88℃共聚合成乳液,将其涂布于有机纤维材料,干燥后得软膜透明阻燃涂层。用其处理的涤棉布阻燃性能为:损毁长度68mm、续燃时间1s、阴燃时间3s、氧指数62、吸附干量287g/kg,处理的纸板的阻燃性能为:平均炭化长度77mm、平均续焰时间2s、平均续灼燃时间32s、吸附干量283g/kg。     

肟交换法制备乙醛肟工艺的研究

肟交换法是一种制备乙醛肟的新兴工艺,但反应过程存在乙醛肟易被空气氧化等问题,且反应液中存在多组共沸物,分离提纯得到高纯度的乙醛肟较为困难。以丁酮肟为原料,通过向反应器内充入0.2 MPa的氮气,有效避免了乙醛肟氧化与原料乙醛、丁酮肟的挥发,乙醛肟反应选择性达96.12%。开发了产物的提纯工艺,通过Aspen Plus模拟,初步确定减压精馏分离反应液的基本流程,考察了压力、塔板数、回流比、进料位置等操作参数对分离过程的影响。在此基础上,依据模拟确定的操作参数进行实验,确定最优分离提纯工艺,得到纯度为95.33%的乙醛肟产品,收率可达94.31%。本研究可为肟交换法制备乙醛肟的工业化提供一定的指导。     

广东阳春石菉—鹦鹉岭—锡山铜锡多金属矿集区综合地球物理特征与成矿预测

石菉—鹦鹉岭—锡山一带是粤西地区的一个铜锡钨（铅锌）多金属矿密集区,矿床（点）众多,区内矿床勘查工作多开展于20世纪90年代前,勘查深度浅,且各矿床之间均为大面积第四系覆盖区,研究程度低,各矿床深部和外围均有良好的找矿前景。本文通过对该区开展的1∶5万重力测量、1∶1万地面磁法测量以及典型矿床电磁法剖面测量等工作成果的综合研究,认为本区主要为北西和北东向的区域构造控岩、控矿,综合物探成果反映空白区内隐伏构造发育,成矿地质条件有利,具备寻找新的中大型隐伏矿床的条件。通过进一步工作,该区有望成为粤西地区重要的铜锡多金属矿田。     

移动机器人中视觉里程计技术综述

视觉里程计（VO）是实现移动机器人自主导航的主要技术之一,不同类型的VO技术在不同应用场景中受环境和硬件计算能力的影响,导致其性能各有优劣。概述VO技术的发展历程,对基于传统几何和基于深度学习的两类VO技术的性能进行对比与分析,重点介绍传统VO技术中特征点法的原理及其改进方法。在此基础上,归纳VO领域常用的公共数据集并对部分现有方法进行对比评测,为VO技术的实际应用提供参考和借鉴,并展望该领域未来的发展方向。     

谈信息化条件下强化工程的管理

本文通过分析建筑工程项目施工管理中存在的问题,阐述了项目施工管理改善的必然性,提出了项目施工管理改善的创新原则和方案。给出信息化条件下,工程管理的新方法。     

VIS+AI: integrating visualization with artificial intelligence for efficient data analysis

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On one hand, visualization can facilitate humans in data understanding through intuitive visual representation and interactive exploration. On the other hand, AI is able to learn from data and implement bulky tasks for humans. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand large-scale data and make decisions, which requires complementing the strengths of both visualization and AI. Existing studies have introduced AI-assisted visualization as AI4VIS and visualization-assisted AI as VIS4AI. However, how can AI and visualization complement each other and be integrated into data analysis processes are still missing. In this paper, we define three integration levels of visualization and AI. The highest integration level is described as the framework of VIS+AI, which allows AI to learn human intelligence from interactions and communicate with humans through visual interfaces. We also summarize future directions of VIS+AI to inspire related studies.     

Drug‐Loaded Mesoporous Tantalum Oxide Nanoparticles for Enhanced Synergetic Chemoradiotherapy with Reduced Systemic Toxicity

Combining chemotherapy and radiotherapy (chemoradiotherapy) has been widely applied in many clinical practices, showing promises in enhancing therapeutic outcomes. Nontoxic nanocarriers that not only are able to deliver chemotherapeutics into tumors, but could also act as radiosensitizers to enhance radiotherapy would thus be of great interest in the development of chemoradiotherapies. To achieve this aim, herein mesoporous tantalum oxide (mTa₂O₅) nanoparticles with polyethylene glycol (PEG) modification are fabricated. Those mTa₂O₅‐PEG nanoparticles could serve as a drug delivery vehicle to allow efficient loading of chemotherapeutics such as doxorubicin (DOX), whose release appears to be pH responsive. Meanwhile, owing to the interaction of Ta with X‐ray, mTa₂O₅‐PEG nanoparticles could offer an intrinsic radiosensitization effect to increase X‐ray‐induced DNA damages during radiotherapy. As a result, DOX‐loaded mTa₂O₅‐PEG (mTa₂O₅‐PEG/DOX) nanoparticles can offer a strong synergistic therapeutic effect during the combined chemoradiotherapy. Furthermore, in chemoradiotherapy, such mTa₂O₅‐PEG/DOX shows remarkably reduced side effects compared to free DOX, which at the same dose appears to be lethal to animals. This work thus presents a new type of mesoporous nanocarrier particularly useful for the delivery of safe and effective chemoradiotherapy.