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Abstract Frequent intravesical chemotherapy is still the adopted clinical option after bladder cancer surgery with low adhesion, poor selectivity, low permeability, and drug resistance. Herein, we develop an ingenious bladder cancer dissociation method to enhance intravesical chemotherapy and tumor self‐exclusion with urine. Ethylene diamine tetraacetic acid (EDTA), a common Ca2+ chelator, is loaded with the typical clinical bladder instillation drug doxorubicin (Dox) in chitosan‐modified hollow gold nanorods and subsequently coated with cancer cell membranes. After bladder perfusion, the nanoplatform exhibits high affinity toward bladder tumors under homologous targeting, assisting in long‐term retention. Under NIR‐II laser irradiation, the photothermal effect accelerates the unloading of cargo, and the released EDTA then disrupts intratumoral junctions by depriving and chelating Ca2+ from the intercellular calcium‐dependent connexin. The consequential intertumoral dissociation gives access to the deeper penetration of Dox and allows the exclusion of the shed small tumor masses from the body with the urine. This distinctive tumor dissociation concept holds great promise for modern clinical intravesical chemotherapy and perhaps for other gastrointestinal malignancies.

An energy management system (EMS) that is augmented by Internet of Things (IoT) is introduced. Using IoT technology, real-time energy-consumption data can be efficiently collected and analyzed, leading to an improved awareness and evaluation of the energy consumption of manufacturing processes. The architecture and function of the IoT-based EMS are introduced. Because the existing monitoring standard for energy conservation defines only the minimum evaluation criterion, the result is either qualified or unqualified. Fully characterizing the energy consumption of industrial energy-intensive equipment is challenging. For this reason, this paper constructs a comprehensive evaluation model for monitoring industrial energy conservation. An evaluation index for industrial energy-intensive equipment is proposed. Then, by integrating an analytic hierarchy process and a fuzzy comprehensive evaluation method, a method is provided for an IoT-based industrial EMS to fully evaluate the operational level of energyintensive equipment. Finally, a case study is provided to verify the effectiveness of this method.