Most treatments for spinal cancer are accompanied by serious side effects including subsequent tumor recurrence, spinal cord compression, and tissue adhesion, thus a highly effective treatment is crucial for preserving spinal and neurological functionalities. Herein, trilayered electrospun doxorubicin@bovine serum albumin/poly­(ε-caprolactone)/manganese dioxide (DOX@BSA/PCL/MnO2) nanofibers with excellent antiadhesion ability, dual glutathione/hydrogen peroxide (GSH/H2O2) responsiveness, and cascade release of Mn2+/DOX was fabricated for realizing an efficient spinal tumor therapy. In detail, Fenton-like reactions between MnO2 in the fibers outermost layer and intra-/extracellular glutathione within tumors promoted the first-order release of Mn2+. Then, sustained release of DOX from the fibers’ core layer occurred along with the infiltration of degradation fluid. Such release behavior avoided toxic side effects of drugs, regulated inflammatory tumor microenvironment, amplified tumor elimination efficiency through synergistic chemo-/chemodynamic therapies, and inhibited recurrence of spinal tumors. More interestingly, magnetic resonance and photoacoustic dual-modal imaging enabled visualizations of tumor therapy and material degradation in vivo, achieving rapid pathological analysis and diagnosis. On the whole, such versatile hierarchical-structured nanofibers provided a reference for rapid and potent theranostic of spinal cancer in future clinical translations.

Conventional detection methods for intersection traffic flow heavily rely on fixed-location inductive loop, video image processing, infared, and microwave radar detectors. The emerging connected vehicles (CV) technologies can potentially reduce such dependencies on conventional vehicle detectors with the vehicle-to-cloud (V2C) CV data. This paper proposes an analytical method for traffic flow estimation in urban arterial corridors based on CV trajectories collected through V2C communication. Different from the existing single-intersection models, the proposed model considers traffic states and the traffic signal coordination among adjacent intersections, therefore, can capture the delay and queuing dynamics in arterial corridors. The queue spillback phenomenon is explicitly considered by applying the shockwave theory. The proposed model is evaluated based on real-world vehicle trajectory data from the DiDi platform collected on an arterial network in Chengdu, China with a penetration rate of less than 10% of the overall traffic. The flow estimation results are compared with traffic counts collected from video detectors. The model parameters are calibrated with more than 300,000 GPS points during a typical workday and tested on a different workday. The evaluation results show a mean absolute percentage error within the range of 4–7% among all intersections, outperforming the results generated by the existing single-intersection model. The results indicate the promising potential of using the proposed methods to evaluate intersection performance without heavy investment in on-site detectors.

No abstract

No abstract

No abstract

No abstract

No abstract

The bond-slip effect has a great influence on the seismic performance of reinforced concrete structures and ignoring it will overestimate the seismic performance of the structures. Based on the low-cyclic reversed loading experiment of a reinforced concrete column, this paper uses OpenSees to establish a nonlinear finite element model considering bond-slip and verify its correctness. In this paper, a multispan continuous girder bridge with varying pier heights is taken as an example. Considering the effect of the bond-slip behavior of steel bars, a refined finite element model based on the OpenSees platform is established to do the numerical simulation analysis. 10 seismic waves are selected from the Pacific Earthquake Engineering Research Center (PEER) according to the site condition and modulate the amplitude to 150 waves. This paper uses the incremental dynamic analysis (IDA) and the second-order reliability method to analyze the seismic fragility of bridge components and systems, respectively. Results show that the exceeding probability increases obviously when considering bond-slip, and with the increase of seismic spectral acceleration, the influence of bond-slip on the exceeding probability of components also increases; when bond-slip is considered, the difference of system fragility between the upper and lower limits under four damage states is greater than that without bond-slip.