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    Scenario-based Quantile Connectedness of the U.S. Interbank Liquidity Risk Network
    Ando, T ; Bai, J ; Lu, L ; Vojtech, CM (Elsevier, 2024)
    We characterize the U.S. interbank liquidity risk network based on a supervisory dataset, using a scenario-based quantile network connectedness approach. In terms of methodology, we consider a quantile vector autoregressive model with unobserved heterogeneity and propose a Bayesian nuclear norm estimation method. A common factor structure is employed to deal with unobserved heterogeneity that may exhibit endogeneity within the network. Then we develop a scenario-based quantile network connectedness framework by accommodating various economic scenarios, through a scenario-based moving average expression of the model where forecast error variance decomposition under a future pre-specified scenario is derived. The methodology is used to study the quantile-dependent liquidity risk network among large U.S. bank holding companies. The estimated quantile liquidity risk network connectedness measures could be useful for bank supervision and financial stability monitoring by providing leading indicators of the system-wide liquidity risk connectedness not only at the median but also at the tails or even under a pre-specified scenario. The measures also help identify systemically important banks and vulnerable banks in the liquidity risk transmission of the U.S. banking system.
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    Risky business: How food-delivery platform riders understand and manage safety at work
    Wang, Q ; Churchill, B (SAGE Publications, 2024-01-01)
    This study explores the issue of workplace safety among food-delivery workers who use platforms like UberEATS and Deliveroo to secure work. Despite the high exposure to hazardous traffic, extreme weather conditions, and unsafe work hours and locations that these workers face daily, safety remains a low priority for both platforms and governments. This study utilizes in-depth qualitative interviews with 14 platform food delivery workers in Melbourne, Australia, to examine how they understand and manage safety risks at work, drawing on a theoretical framework of necropolitics and liminal precarity. The riders are predominantly migrant workers on temporary visas who face corporeal risks influenced by factors such as road conditions, time pressures, and weather. Despite their awareness of these dangers, the study reveals that platform-induced necropower, driven by economic incentives, significantly impacts those heavily dependent on gig economy earnings, ultimately turning safety into a trade-off between making a living and surviving. However, riders also demonstrate agency by mediating risks through experience, knowledge-sharing, and strategic use of the platform's features to resist potentially hazardous conditions.
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    Enhancing Predictive Modeling in Emergency Departments
    Kouhounestani, M ; Song, L ; Luo, L ; Aickelin, U (SCITEPRESS - Science and Technology Publications, 2024)
    Increasing global Emergency Department (ED) visits, exacerbated by COVID-19, has presented multiple challenges in recent years. Electronic Health Records (EHRs) as comprehensive digital repositories of patient health information offer a pathway to construct prediction systems to address these issues. However, the heterogeneity of EHRs complicates accurate predictions. A notable challenge is the prevalence of high-cardinality nominal features (NFs) in EHRs. Due to their numerous distinct values, these features are often excluded from the analysis, risking information loss, reduced accuracy, and interpretability. This study proposes a framework, integrating a preprocessing technique with target encoding (TE-PrepNet) into machine learning (ML) models to address challenges of NFs from MIMIC-IV-ED. We evaluate performance of TE-PrepNet in two specific ED-based prediction tasks: triage-based hospital admissions and ED reattendance within 72 hours at discharge time. Incorporating three NFs, our approach demonstrates improvements compared to the baseline and outperforms previous research that overlooked NFs. Random forest model with TE-PrepNet in the prediction of hospitalisation achieved an AUROC of 0.8458, compared to the baseline AUROC of 0.7520. For the prediction of ED reattendance within 72 hours, the utilisation of XGBoost yielded an improvement, attaining an AUROC of 0.6975, outperforming the baseline AUROC of 0.6166.
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    Poéticas excéntricas en el mundo hispanohablante
    Holas Allimant, I ; Esposto, R ; Fernández Castillo, JL (Poliedro Editorial, 2024)
    Vivimos una vertiginosa época de crisis. El actual ocaso de las humanidades, junto con el auge de los saberes científicos como paradigma del conocimiento, sitúan a la práctica y a la recepción de la poesía en un lugar excéntrico en relación con las ideologías dominantes y sus discursos de poder. La irrupción de los medios digitales y su papel en la globalización, la relativización de los cánones literarios nacionales, la suplantación del ciudadano por el consumidor en el marco de economías de mercado pletórico, el déficit de atención y la cooptación del deseo producidos por el capitalismo financiero han contribuido a que la práctica poética haya prolongado en nuestros tiempos su papel desde las postrimerías de la Modernidad. La poesía es hoy una forma de resistencia, de elaboración crítica y artística del lenguaje que incorpora tanto la atención a lo real como la tensión con lo posible y lo imaginario. [From Introduction]
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    Time-resolved emission microscopy of light-induced aggregation of luminescent polymers
    Xu, Y ; Zhou, J ; Smith, TA (IOP Publishing, 2019-12-23)
    Photon pressure has been used to induce the aggregation from solution of a series of photoluminescent conjugated polyelectrolytes containing tetraphenylethene units. These polymers show steady-state and time-resolved emission properties that are dependent on the local chromophore environment that can be influenced by the degree of intra- and inter-molecular interactions, which enables the photoaggregation process to be monitored by time-resolved fluorescence imaging techniques. Structural differences in the polymer lead to variations in the photo-induced aggregation behaviour.
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    The prevalence and clinicopathological features of programmed death-ligand 1 (PD-L1) expression: a pooled analysis of literatures
    Lin, Z ; Xu, Y ; Zhang, Y ; He, Q ; Zhang, J ; He, J ; Liang, W (IMPACT JOURNALS LLC, 2016-03-22)
    BACKGROUND & AIMS: Programmed death-ligand 1 (PD-L1) has been recognized as a critical and promising target in therapies that direct immune escape of cancers. However, its association with aggressive clinicopathological features in solid tumors remains unclear. We investigated this question by synthesizing published articles. METHODS: Electronic databases were searched for relevant studies. Outcomes of interest included age, gender, tumor size, tumor size, lymph node metastasis and tumor cell differentiation. RESULTS: A total of 61 studies involving 17 types of malignancies were included. The overall expression rate of PD-L1 was 44.5% (95% CI, 37.5% to 51.6 %). Patients with regional lymph node metastases (OR 1.38; P < 0.01), large size tumor (OR 1.89; P < 0.01) or poor differentiated tumors (OR 1.71; P < 0.01) were associated with higher PD-L1 expression rate. However, no significant association was observed between young and elder patients (OR 1.04; P = 0.58), or male and female patients (OR 1.13; P = 0.06). A numerically higher PD-L1 expression rate was detected in polyclonal antibodies (57.2%) than monoclonal antibodies (39.6%). In addition, the PD-L1 expression rate reported by studies from Asian areas (52.3%) was numerically higher than those from non-Asian areas, namely Caucasians (32.7%). CONCLUSIONS: This meta-analysis indicated that patients with larger tumors, regional lymph node metastases, or poor-differentiated tumors were associated with a higher PD-L1 expression rate; in addition the expression rate of PD-L1 in Asians might be higher than that of Caucasians. This information might be useful in screening candidates for relevant tests and treatments.
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    Adoptive Immunotherapy in Postoperative Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis
    Zeng, Y ; Ruan, W ; He, J ; Zhang, J ; Liang, W ; Chen, Y ; He, Q ; He, J ; Hills, RK (PUBLIC LIBRARY SCIENCE, 2016-09-12)
    BACKGROUND: Adoptive immunotherapy (AI) has been applied in the treatment of non-small-cell lung cancer (NSCLC) patients, but the value of postoperative AI has been inconclusive largely as a result of the small number of patients included in each study. We performed a systematic review and meta-analysis to address this issue for patients with postoperative NSCLC. METHODS: Pubmed, Embase, Cochrane Library were searched for randomized controlled trials comparing adoptive immunotherapy with control therapies in postoperative NSCLC patients. The primary endpoint was overall survival. Hazard ratio (HR) was estimated and 95% confidence intervals (CI) were calculated using a fixed-effect model. RESULTS: Compared with control therapies, analyses of 4 randomized controlled trials (472 patients) showed a significant benefit of adoptive immunotherapy on survival (hazard ratio [HR] 0.61, 95% CI 0.45-0.84, p = 0.002), and a 39% reduction in the relative risk of death (no evidence of a difference between trials; p = 0.16, I² = 42%). In subgroup analyses by treatment cycles and treatment regimen, significant OS benefit was found in combination therapy of AI with chemotherapy, regardless of whether or not the treatment cycles were more than 10 cycles. CONCLUSION: Adoptive immunotherapy has the potential to improve overall survival in postoperative NSCLC. The findings suggest this is a valid treatment option for these patients. Further randomized clinical trials are urgently needed.
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    [Propensity Score Matching Analysis of VATS Lobectomy and Sublobar Resection for Stage I Lung Adenocarcinoma].
    Liu, Y ; Zhong, S ; He, Q ; Zhang, J ; Chen, X ; Guo, M ; He, J ( 2017-01-20)
    BACKGROUND: National Comprehensive Cancer Network (NCCN) guidelines recommend video-assisted thoracoscopic surgery (VATS) anatomical lobectomy as the first choice for the treatment of resectable lung cancer. However, sublobar resection offers significantly better functional preservation compared with lobectomy for stage I lung cancer. At present, the inferiority of sublobar resection to lobectomy is still uncertain. Herein, we compared the prognoses of these two types of surgical treatment for stage I lung adenocarcinoma. METHODS: Retrospective research was conducted on 258 patients with stage I lung adenocarcinomas who underwent VATS lobectomy and sublobar resection at the First Affiliated Hospital of Guangzhou Medical University between January 2009 and December 2011. VATS lobectomy was performed on 222 patients, and VATS sublobe resection was performed on 36 patients. Propensity score matching analyses were conducted on the two groups. RESULTS: A total of 70 patients were matched in the two groups. No significant difference was observed between the lobectomy and sublobar resection groups after matching (P=0.137). The disease-free survival (DFS) of the two groups were 49.3 and 42.7 months, and their overall survival (OS) were 50.3 and 49.0 months (P=0.122). Further, stratified analysis showed no significant differences in DFS and OS between the two groups with stage Ia lung adenocarcinoma. Nevertheless, the DFS and OS of the two groups significantly differed in matched patients with stage Ib lung adenocarcinomas. CONCLUSIONS: Sublobar resection could achieve a similar prognosis to VATS lobectomy for stage Ia lung adenocarcinoma. Lobectomy should still be the first choice for the treatment of stage Ib lung adenocarcinoma.
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    Impact of Examined Lymph Node Count on Precise Staging and Long-Term Survival of Resected Non-Small-Cell Lung Cancer: A Population Study of the US SEER Database and a Chinese Multi-Institutional Registry
    Liang, W ; He, J ; Shen, Y ; Shen, J ; He, Q ; Zhang, J ; Jiang, G ; Wang, Q ; Liu, L ; Gao, S ; Liu, D ; Wang, Z ; Zhu, Z ; Ng, CSH ; Liu, C-C ; Petersen, RH ; Rocco, G ; D'Amico, T ; Brunelli, A ; Chen, H ; Zhi, X ; Liu, B ; Yang, Y ; Chen, W ; Zhou, Q ; He, J (AMER SOC CLINICAL ONCOLOGY, 2017-04-10)
    Purpose We investigated the correlation between the number of examined lymph nodes (ELNs) and correct staging and long-term survival in non-small-cell lung cancer (NSCLC) by using large databases and determined the minimal threshold for the ELN count. Methods Data from a Chinese multi-institutional registry and the US SEER database on stage I to IIIA resected NSCLC (2001 to 2008) were analyzed for the relationship between the ELN count and stage migration and overall survival (OS) by using multivariable models. The series of the mean positive LNs, odds ratios (ORs), and hazard ratios (HRs) were fitted with a LOWESS smoother, and the structural break points were determined by Chow test. The selected cut point was validated with the SEER 2009 cohort. Results Although the distribution of ELN count differed between the Chinese registry (n = 5,706) and the SEER database (n = 38,806; median, 15 versus seven, respectively), both cohorts exhibited significantly proportional increases from N0 to N1 and N2 disease (SEER OR, 1.038; China OR, 1.012; both P < .001) and serial improvements in OS (N0 disease: SEER HR, 0.986; China HR, 0.981; both P < .001; N1 and N2 disease: SEER HR, 0.989; China HR, 0.984; both P < .001) as the ELN count increased after controlling for confounders. Cut point analysis showed a threshold ELN count of 16 in patients with declared node-negative disease, which were examined in the derivation cohorts (SEER 2001 to 2008 HR, 0.830; China HR, 0.738) and validated in the SEER 2009 cohort (HR, 0.837). Conclusion A greater number of ELNs is associated with more-accurate node staging and better long-term survival of resected NSCLC. We recommend 16 ELNs as the cut point for evaluating the quality of LN examination or prognostic stratification postoperatively for patients with declared node-negative disease.
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    Systematic bias between blinded independent central review and local assessment: literature review and analyses of 76 phase III randomised controlled trials in 45 688 patients with advanced solid tumour
    Zhang, J ; Zhang, Y ; Tang, S ; Jiang, L ; He, Q ; Hamblin, LT ; He, J ; Xu, Z ; Wu, J ; Chen, Y ; Liang, H ; Chen, D ; Huang, Y ; Wang, X ; Deng, K ; Jiang, S ; Zhou, J ; Xu, J ; Chen, X ; Liang, W ; He, J (BMJ PUBLISHING GROUP, 2018-09)
    OBJECTIVE: Unbiased assessment of tumour response is crucial in randomised controlled trials (RCTs). Blinded independent central review is usually used as a supplemental or monitor to local assessment but is costly. The aim of this study is to investigate whether systematic bias existed in RCTs by comparing the treatment effects of efficacy endpoints between central and local assessments. DESIGN: Literature review, pooling analysis and correlation analysis. DATA SOURCES: PubMed, from 1 January 2010 to 30 June 2017. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Eligible articles are phase III RCTs comparing anticancer agents for advanced solid tumours. Additionally, the articles should report objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS) or time to progression (TTP); the treatment effect of these endpoints, OR or HR, should be based on central and local assessments. RESULTS: Of 76 included trials involving 45 688 patients, 17 (22%) trials reported their endpoints with statistically inconsistent inferences (p value lower/higher than the probability of type I error) between central and local assessments; among them, 9 (53%) trials had statistically significant inference based on central assessment. Pooling analysis presented no systematic bias when comparing treatment effects of both assessments (ORR: OR=1.02 (95% CI 0.97 to 1.07), p=0.42, I2=0%; DCR: OR=0.97 (95% CI 0.92 to 1.03), p=0.32, I2=0%); PFS: HR=1.01 (95% CI 0.99 to 1.02), p=0.32, I2=0%; TTP: HR=1.04 (95% CI 0.95 to 1.14), p=0.37, I2=0%), regardless of funding source, mask, region, tumour type, study design, number of enrolled patients, response assessment criteria, primary endpoint and trials with statistically consistent/inconsistent inferences. Correlation analysis also presented no sign of systematic bias between central and local assessments (ORR, DCR, PFS: r>0.90, p<0.01; TTP: r=0.90, p=0.29). CONCLUSIONS: No systematic bias could be found between local and central assessments in phase III RCTs on solid tumours. However, statistically inconsistent inferences could be made in many trials between both assessments.