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Objective: This study aimed to develop a preoperative nomogram based on clinical and pathological characteristics to provide a more individualized and accurate estimation of lymph node metastasis (LNM) in patients with early-stage cervical cancer. Methods: A total of 7,349 early-stage cervical cancer patients with pathologically confirmed between 1988 and 2015 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. All the patients were divided into training (n = 5,500) and validation (n = 1,849) cohorts randomly. A cohort of 455 patients from multicenter was used for the external validation. We established a multivariate logistic regression model based on preoperative clinicopathological data, from which a nomogram was developed and validated. A predicted probability of LNM < 5% was defined as low risk. Results: From multivariate logistic regression analysis, age at diagnosis, histologic subtype, tumor grade, tumor size and FIGO stage were identified as preoperative independent risk factors of LNM. The nomogram incorporating these factors demonstrated good discrimination and calibration (concordance index = 0.723; 95% confidence interval (CI), 0.707–0.738). In the validation cohort, the discrimination accuracy was 0.745 (95% CI, 0.720–0.770) and 0.747 (95% CI, 0.690–0.804), respectively. The nomogram was well calibrated with a high concordance probability. We also established an R-enabled Internet browser for LNM risk assessment, which tool may be convenient for physicians. Conclusions: We developed an effective preoperative nomogram based on clinical and pathological characteristics to predict LNM for early-stage cervical cancer. This model could improve clinical trial design and help physicians to decide whether to perform lymphadenectomy or not. [ABSTRACT FROM AUTHOR]

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Luminescent solar concentrators (LSCs) are attractive for the easy operation and high compatibility with building integrated photovoltaics due to their low cost, large-scale and applicability. However, underutilized sunlight in visible wavelengths often impedes the advance of LSCs. Here, we demonstrate an orange-emitting carbon nanodots-based LSC (O-CDs) with excitation concentrated in the visible wavelengths. The orange-emitting carbon nanodots (O-CDs) with highly localized excitonic emission are prepared via atomic condensation of doped pyrrolic nitrogen, delivering a high photoluminescence quantum yield of 80 % and a suitable Stokes shift with absorption spectrum situated in the visible region. The O-CDs are embedded in polyvinylpyrrolidone to obtain a highly transparent, stable and environmentally friendly O-CDs-based LSC. Thanks to efficient utilization of solar radiation in visible areas and well match between the emission of O-CDs and the response bands of photovoltaic cells, the O-CDs-based LSC reveals an optical conversion efficiency of 5.17 %, superior to that of most carbon nanodots-based LSCs. These results provide an effective strategy to develop carbon-based luminescent concentrated materials for architectural integrated photovoltaic technology. [ABSTRACT FROM AUTHOR]

Polyimide (PI), an important engineering polymer with a rigid chemical structure, readily has excellent chemical stability, heat resistance, and electrical insulation but lacks broadband photothermal properties. Herein, we design and synthesize PI copolymers that embrace intrinsic photothermal properties by using two diamine monomers of (Z)‐2,3‐bis(4‐aminophenyl) acrylonitrile (CNDA) and 4,4‐diphenyldiamine (NDA) with strong ultraviolet (UV), and near‐infrared (NIR) absorption capabilities, respectively. Tuning the molar ratio of the two diamines can modulate UV and NIR light absorption and regulate the intrinsic photothermal properties of PIs. After condensation with pyromellitic dianhydride, the resulting PI‐0.5 with a unit molar ratio of CNDA:NDA = 1 shows the best photothermal efficiency. PI‐0.5 is used to construct 3D steam generators with vertically dried channels by a freeze‐drying method. The 3D steam generators show a good water evaporation rate and continuously operate with excellent stability under varying salinity and pH conditions. The synthetic design herein suggests that PI can be molecularly engineered to be intrinsic photothermal materials, expanding the properties and applications of existing PIs. [ABSTRACT FROM AUTHOR]

Flexible thermoelectric devices can generate electricity based on temperature differences and have great potential as an energy source for wearable devices and the Internet of Things. In this paper, an efficient topology optimization method is proposed for the design of deformable flexible thermoelectric devices, which facilitates an increase in the output voltage and a corresponding improvement in the power generation efficiency. The designed structures can produce out-of-plane displacement for an external load, which increases the temperature difference between the hot and cold ends, thus enhancing the power generation capacity. Using combined multi-field coupling analysis and experiments, the efficacy of the proposed method was evaluated for several scenarios based on different load cases and design domains. After optimization, the temperature difference of thermoelectric devices can be increased by more than 10 °C, and the output voltage can exhibit a three-fold increase compared to that of the in-plane configuration. [ABSTRACT FROM AUTHOR]