Metal halide perovskites are emerging as promising candidates for next-generation display and lighting technologies. In less than 10 years, the external quantum efficiency (EQE) of perovskite ...light-emitting diodes (PeLEDs) has skyrocketed from 0.1% to around 30%. Herein, we briefly introduce PeLEDs and summarise our group's progress in preparing PeLEDs using the strategy of grain boundary passivation. Then, we present the challenges and future outlooks toward the further development of PeLEDs. We hope that this perspective can bring informative guidance and innovative ideas to the PeLED community.
Metal halide perovskites are emerging as promising candidates for next-generation display and lighting technologies.
Carcinoembryonic antigen (CEA) is one of the important indexes for the diagnosis and prognosis of gastrointestinal cancer. Systemic inflammatory response (SIR) is closely related to the occurrence ...and development of gastrointestinal cancer.
A total of 803 patients who underwent radical gastrectomy in Qinghai University Affiliated Hospital from January 2012 to December 2016 were included as training set. Multivariable Cox proportional hazard regression was used to identify associations with outcome of gastric cancer (GC). CNLR was established by combining CEA and the neutrophils to lymphocytes ratio (NLR, a typical parameter in SIR) to generate a novel prognostic score system and its prognostic value was externally validated.
Multivariate analysis showed that CEA and NLR were independent prognostic factors for GC patients (both
< 0.05). A higher CNLR was significantly associated with older age, male sex, larger tumor size, vascular invasion and advanced stages (all
< 0.05). Patients with higher CNLR had poor prognosis than those with lower CNLR (
< 0.05). Multivariate analysis showed that CNLR was an independent prognostic factor (
< 0.05). Incorporation of the CNLR into a prognostic model including age and TNM stage generated a nomogram, which predicted accurately 3- and 5-year survival for GC patients. And similar results were obtained in the external validation set.
The CNLR prognostic scoring system established by combining CEA and NLR is an independent prognostic factor for GC, which can be incorporated into the traditional TNM staging to improve the prediction of long-term survival outcomes.
The number of dissected lymph nodes is closely related to the prognosis of patients with non-small cell lung cancer. This study explored the optimal number of right paratracheal lymph nodes dissected ...in right upper non-small cell lung cancer patients and its impact on prognosis.
Patients who underwent radical surgery for right upper lobe cancer between 2012 and 2017 were retrospectively enrolled. The optimal number of right paratracheal lymph nodes and the relationship between the number of dissected right paratracheal lymph nodes and the prognosis of right upper non-small cell lung cancer were analysed.
A total of 241 patients were included. The optimal number of dissected right paratracheal lymph nodes was 6. The data were divided according to the number of dissected right paratracheal lymph nodes into groups RPLND + (≥ 6) and RPLND- (< 6). In the stage II and III patients, the 5-year overall survival rates were 39.0% and 48.2%, respectively (P = 0.033), and the 5-year recurrence-free survival rates were 32.8% and 41.8%, respectively (P = 0.043). Univariate and multivariate analyses revealed that among the stage II and III patients, ≥ 6 right paratracheal dissected lymph nodes was an independent prognostic factor for overall survival (HR = 0.53 95% CI 0.30-0.92 P = 0.025) and recurrence-free survival (HR = 1.94 95% CI 1.16-3.24 P = 0.011).
Resection of 6 or more right paratracheal lymph nodes may be associated with an improved prognosis in patients with right upper non-small cell lung cancer, especially in patients with stage II or III disease.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Abstract Due to their unique photoelectric properties, nontoxic tin‐based perovskites are emerging candidates for efficient near‐infrared LEDs. However, the facile oxidation of Sn 2+ and the rapid ...crystallization rate of tin‐based perovskites result in suboptimal film quality, leading to inferior efficiencies of tin‐based perovskite light‐emitting diodes (Pero‐LEDs). In this study, we investigate the influence of commonly used solvents on the quality of the CsSnI 3 films. Remarkably, DMSO exhibits a stronger interaction with SnI 2 , forming a stable intermediate phase of SnI 2 ·3DMSO. This intermediate effectively inhibits the oxidation of Sn 2+ and slows down the crystallization rate, bringing in lower defect state density and higher photoluminescence quantum yield of the prepared perovskite films. Consequently, the corresponding Pero‐LEDs achieve a maximum external quantum efficiency (EQE) of 5.6%, among the most efficient near‐infrared Pero‐LEDs. In addition, the device processes ultra‐low efficiency roll‐off and high reproducibility. Our research underscores the crucial role of solvent‐perovskite coordination in determining film quality. These findings offer valuable guidance for screening solvents to prepare highly efficient and stable tin‐based perovskites.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Gastric neuroendocrine carcinoma and mixed adenoneuroendocrine carcinoma are rare pathological types of gastric cancer, and there is a lack of multicenter studies comparing the prognosis and ...recurrence patterns of gastric neuroendocrine carcinoma, gastric mixed adenoneuroendocrine carcinoma, and gastric adenocarcinoma.
To compare the differences in long-term survival and patterns of recurrence among gastric neuroendocrine carcinoma, gastric mixed adenoneuroendocrine carcinoma, and gastric adenocarcinoma.
This cohort study included patients with resectable gastric neuroendocrine carcinoma and gastric mixed adenoneuroendocrine carcinoma at 23 hospitals in China from January 2006 to December 2016. In addition, patients with gastric adenocarcinoma were selected as controls. Propensity score-matched analysis was used to match pathological stage among the different pathological types, and disease-free survival (DFS), postrecurrence survival (PRS), and patterns of recurrence were examined. Data analysis was conducted from July 15, 2020, to October 21, 2020.
Curative resection for gastric neuroendocrine carcinoma, gastric mixed adenoneuroendocrine carcinoma, and gastric adenocarcinoma.
The main outcomes were DFS and patterns of recurrence.
A total of 3689 patients were analyzed (median interquartile range age, 62 55-69 years; 2748 74.5% men), including 503 patients (13.6%) with gastric neuroendocrine carcinoma, 401 patients (10.9%) with gastric mixed adenoneuroendocrine carcinoma, and 2785 patients (75.5%) with gastric adenocarcinoma. After propensity score matching, 5-year DFS was 47.6% (95% CI, 42.7%-52.5%) for patients with gastric neuroendocrine carcinoma, compared with 57.6% (95% CI, 55.1%-60.1%) with gastric adenocarcinoma (P < .001) and 51.1% (95% CI, 46.0%-56.2%) for patients with gastric mixed adenoneuroendocrine carcinoma, compared with 57.8% (95% CI, 55.1%-60.5%) patients with gastric adenocarcinoma (P = .02). Multivariable analyses found that, compared with gastric adenocarcinoma, gastric neuroendocrine carcinoma (hazard ratio HR, 1.64; 95% CI, 1.40-1.93) and gastric mixed adenoneuroendocrine carcinoma (HR, 1.25; 95% CI, 1.05-1.49) were independent risk factors associated with worse DFS. Compared with matched patients with gastric adenocarcinoma, patients with gastric neuroendocrine carcinoma were more likely to have distant recurrence (268 patients 17.2% vs 101 patients 23.7%; P = .002), as were patients with gastric mixed adenoneuroendocrine carcinoma (232 patients 17.3% vs 76 patients 22.8%; P = .02). In multivariate analysis, gastric neuroendocrine carcinoma (HR, 2.22; 95% CI, 1.66-2.98) and gastric mixed adenoneuroendocrine carcinoma (HR, 1.70; 95% CI, 1.24-2.34) were independent risk factors associated with distant recurrence. Additionally, T3 to T4 stage (odds ratio, 2.84; 95% CI, 1.57-5.14; P = .001) and lymph node metastasis (odds ratio, 2.01; 95% CI, 1.31-3.10; P = .002) were independent risk factors associated with distant recurrence of gastric neuroendocrine carcinoma and gastric mixed adenoneuroendocrine carcinoma.
This cohort study found that patients with gastric neuroendocrine carcinoma or gastric mixed adenoneuroendocrine carcinoma had worse prognoses and were more prone to distant recurrence than those with gastric adenocarcinoma. Thus, different follow-up and treatment strategies should be developed to improve the long-term survival of patients with gastric neuroendocrine carcinoma or gastric mixed adenoneuroendocrine carcinoma, especially patients with tumors penetrating into the subserosa or deeper layers or with lymph node metastasis.
The long-term survival of patients with laparoscopic total gastrectomy combined with spleen-preserving splenic hilar lymphadenectomy (LSTG) for advanced upper-third gastric cancer (AUTGC) and the ...association of splenic hilar lymph node (LN-10) metastasis with survival remain controversial.
To evaluate the long-term outcomes of LSTG and the value index of LN-10 metastasis for patients with AUTGC.
The Chinese Laparoscopic Gastrointestinal Surgery Study 4 (CLASS-04) was a prospective, multicenter, single-arm trial that involved 19 centers in China. A total of 251 eligible patients with clinical stage T2, T3, or T4a upper-third gastric cancer without distant metastases were enrolled from September 1, 2016, to October 31, 2017. The final follow-up was on December 31, 2020.
All patients were enrolled to undergo LSTG.
The main outcomes were the 3-year overall survival (OS) and disease-free survival (DFS). Multivariate analyses were used to explore the association of LN-10 metastasis with survival.
Among the 251 patients, 246 (98.0%; mean SD age, 60.1 9.4 years; 197 80.1% male) underwent LSTG and completed the study. The 3-year OS was 79.1% (95% CI, 74.0%-84.2%), and the 3-year DFS was 73.1% (95% CI, 67.4%-78.8%). In addition, the 3-year therapeutic value index of LN-10 dissection was 4.5, exceeding the indexes for the partial D2 LN group (including LNs 5, 6, 11d, and 12a). Nineteen patients (7.7%) with LN-10 metastasis had significantly worse survival than the nonmetastasis group, and multivariate analysis revealed that splenic LN-10 metastasis was an independent risk factor (OS: hazard ratio HR, 2.38; 95% CI, 1.08-5.26; P = .03; DFS: HR, 2.28; 95% CI, 1.12-4.63; P = .02). Moreover, patients with LN-10 metastasis were more likely to have recurrence (42.1% vs 20.7%, P = .03), especially when multiple site metastasis was present (21.1% vs 4.4%, P = .01). However, patients with LN-10 metastasis who received adjuvant chemotherapy had significantly better OS and DFS than those without adjuvant chemotherapy and achieved the same oncologic effect as those without LN-10 metastasis.
This results of this study suggest that LSTG for AUTGC has feasible long-term outcomes. In addition, patients with LN-10 metastasis may have worse survival and may be more prone to recurrence.
Near-infrared （NIR） persistent-luminescence nanoparticles have emerged as a new class of background-free contrast agents that are promising for in vivo imaging. The next key roadblock is to establish ...a robust and controllable method for synthesizing monodisperse nanoparticles with high luminescence brightness and long persistent duration. Herein, we report a synthesis strategy involving the coating/etching of the SiO2 shell to obtain a new class of small NIR highly persistent luminescent ZnGa2O4：Cr^3＋,Sn^4＋（ZGOCS） nanoparticles. The optimized ZGOCS nanoparticles have an excellent size distribution of -15 nm without any agglomeration and an NIR persistent luminescence that is enhanced by a factor of 13.5, owing to the key role of the SiO2 shell in preventing nanoparticle agglomeration after annealing. The ZGOCS nanoparticles have a signal-to-noise ratio -3 times higher than that of previously reported ZnGa204：Cr^3＋ （ZGC-1） nanoparticles as an NIR persistent-luminescence probe for in vivo bioimaging. Moreover, the persistent-luminescence signal from the ZGOCS nanoparticles can be repeatedly re-charged in situ with external excitation by a white light- emitting diode; thus, the nanopartides are suitable for long-term in vivo imaging applications. Our study suggests an improved strategy for fabricating novel high-performance optical nanoparticles with good biocompatibility.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Modeling complex spatiotemporal dependencies in correlated traffic series is essential for traffic prediction. While recent works have shown improved prediction performance by using neural networks ...to extract spatiotemporal correlations, their effectiveness depends on the quality of the graph structures used to represent the spatial topology of the traffic network. In this work, we propose a novel approach for traffic prediction that embeds time-varying dynamic Bayesian network to capture the fine spatiotemporal topology of traffic data. We then use graph convolutional networks to generate traffic forecasts. To enable our method to efficiently model nonlinear traffic propagation patterns, we develop a deep learning-based module as a hyper-network to generate stepwise dynamic causal graphs. Our experimental results on a real traffic dataset demonstrate the superior prediction performance of the proposed method. The code is available at https://github.com/MonBG/DCGCN.
Modeling complex spatiotemporal dependencies in correlated traffic series is essential for traffic prediction. While recent works have shown improved prediction performance by using neural networks ...to extract spatiotemporal correlations, their effectiveness depends on the quality of the graph structures used to represent the spatial topology of the traffic network. In this work, we propose a novel approach for traffic prediction that embeds time-varying dynamic Bayesian network to capture the fine spatiotemporal topology of traffic data. We then use graph convolutional networks to generate traffic forecasts. To enable our method to efficiently model nonlinear traffic propagation patterns, we develop a deep learning-based module as a hyper-network to generate stepwise dynamic causal graphs. Our experimental results on a real traffic dataset demonstrate the superior prediction performance of the proposed method.
Directed Acyclic Graphical (DAG) models efficiently formulate causal relationships in complex systems. Traditional DAGs assume nodes to be scalar variables, characterizing complex systems under a ...facile and oversimplified form. This paper considers that nodes can be multivariate functional data and thus proposes a multivariate functional DAG (MultiFun-DAG). It constructs a hidden bilinear multivariate function-to-function regression to describe the causal relationships between different nodes. Then an Expectation-Maximum algorithm is used to learn the graph structure as a score-based algorithm with acyclic constraints. Theoretical properties are diligently derived. Prudent numerical studies and a case study from urban traffic congestion analysis are conducted to show MultiFun-DAG's effectiveness.
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