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In urban smart city environments, traffic hazards can lead to catastrophic outcomes, including significant property losses and severe threats to public safety. Conventional traffic monitoring systems are limited in terms of accuracy and speed, presenting significant challenges for real-time traffic surveillance. To tackle these challenges, this paper introduces the GC-YOLOv9 algorithm. Specifically, we have enhanced the YOLOv9 model by incorporating Ghost Convolution, markedly improving the model’s perceptual abilities and detection accuracy. Furthermore, this study designed an integrated smart city framework that includes layers for service applications, the Internet of Things, edge processing, and data centers. By deploying the enhanced YOLOv9 model within this framework, our method achieved mAP@0.5 scores of 77.15 and 74.95 on the BDD100K and Cityscapes datasets, respectively, surpassing existing technologies. Additionally, the potential applications of this method in public area fire safety management, forest fire monitoring, and intelligent security systems further underscore its significant value in improving the safety and efficiency of smart cities.

The activating transcription factor (ATF)/ cAMP-response element binding protein (CREB) family represents a large group of basic zone leucine zip (bZIP) transcription factors (TFs) with a variety of physiological functions, such as endoplasmic reticulum (ER) stress, amino acid stress, heat stress, oxidative stress, integrated stress response (ISR) and thus inducing cell survival or apoptosis. Interestingly, ATF family has been increasingly implicated in autophagy and ferroptosis in recent years. Thus, the ATF family is important for homeostasis and its dysregulation may promote disease progression including cancer. Current therapeutic approaches to modulate the ATF family include direct modulators, upstream modulators, post-translational modifications (PTMs) modulators. This review summarizes the structural domain and the PTMs feature of the ATF/CREB family and comprehensively explores the molecular regulatory mechanisms. On this basis, their pathways affecting proliferation, metastasis, and drug resistance in various types of cancer cells are sorted out and discussed. We then systematically summarize the status of the therapeutic applications of existing ATF family modulators and finally look forward to the future prospect of clinical applications in the treatment of tumors by modulating the ATF family.

Background: Patent foramen ovale (PFO) is associated with migraine; however, the mechanism of PFO-associated migraine is not well known; additionally, percutaneous closure is controversial. This study aimed to investigate in situ thrombi within the PFO and explore the possible predictors of the effectiveness of PFO closure in migraineurs. Methods: This prospective cohort study included 48 asymptomatic patients and 92 migraineurs with PFO. Optical coherence tomography (OCT) was used to evaluate the PFO microstructure. Only migraineurs underwent percutaneous closure. Migraineurs were divided into two cohorts based on the presence of a thrombus within the PFO. The symptoms were assessed at the 12-month follow-up visit. Predictors were evaluated employing multivariate logistic regression and receiver operating characteristic curve analyses. Results: In situ thrombi within PFO were identified in 69 migraineurs and in two asymptomatic patients (76.7 % vs. 4.3 %; P

Delayed luminescence (DL) refers to the photon-induced ultra-weak luminescence emitted by samples after the light source is switched off. As a noninvasive method for health monitoring and disease diagnosis, DL has attracted increasing attention. The further development of this technology is valuable for the study of complex biological processes, such as different growth stages. If such studies were to be conducted in humans, large numbers of subjects of all ages would need to be recruited, and individual differences would be inevitable. The budding yeast Saccharomyces cerevisiae (S. cerevisiae) has a short population lifespan, and the growth phases can be monitored within dozens of hours. Therefore, S. cerevisiae is an ideal model organism for research. In this study, we investigated the physiological characteristics and DL emission of S. cerevisiae during growth in glucose-based media and entry into stationary phase, and the results showed that DL kinetic curves of yeast cells in the growing phase were obviously separated from those of stationary phase cells. Moreover, the metabolic and physiological characteristics of the yeast cell population were discussed using the DL emission parameters I0, τ and γ. We also discussed the possibility of assessing entropy using DL emission parameters. Our research demonstrates the potential of this technology to be used in wider applications.

Background: Data regarding the prognosis of Eisenmenger syndrome (ES) and effect of targeted drugs are limited. This study aimed to analyze the prognosis and impact of targeted drug therapy on the survival rate of patients with ES in the Chinese population. Methods: The data of patients with ES referred to our hospital between January 2010 and December 2020 were retrospectively analyzed. Data included baseline demographics, echocardiographic parameters, and clinical diagnoses. All patients were followed up via telephone interviews in February 2022. The primary endpoint was mortality. Results: Overall, 1,021 patients with ES were included. The 1-, 3-, 5-, 7-, 10-, and 12-year survival rates were 91.6%, 84.2%, 80.7%, 73.8%, 71.4%, and 69.9%, respectively. Patients with atrial septal defects had the best prognosis than those with ventricular septal defects, patent ductus arteriosus, and complex congenital heart disease (CHD) (P

Developing ultrahigh-strength structural materials that are ductile, fracture resistant, and cost effective has been a long-standing desire for scientists and engineers. Surface nano-crystallization technology has recently been developed as one of the most effective methods to optimize surface structure, which can improve local and global mechanical behavior without compromising ductility. This technique involves the use of hundreds of small hard balls vibrated by high-power ultrasound so that they impact onto the surface of a material at high speed, also known as surface mechanical abrasion treatment (SMAT). Despite its success in enhancing the mechanical properties of steels and other structural materials, there is still lack of clear understanding of the relationships between desired surface structures/properties and controlling parameters in such surface treatment processes. Therefore, we calculated residual stress through computational modeling such as finite element analysis (FEA), and simulated the effect of all parameters during processing on residual compressive stress. Different multiple impact models are investigated to develop a more realistic model for the strengthening process.

Background: Signal transducers and activators of transcription (STAT) proteins, well-known cytoplasmic transcription factors, were found to be abnormally expressed in various cancers and play essential parts in the initiation, progression and therapy resistance of cancer. Nevertheless, the functions of different STATs in pancreatic cancer (PC) and their relationship to the prognosis and immune infiltration as well as drug efficacy in PC patients have not been systematically elucidated. Methods: Expression, prognosis, genetic alterations and pathway enrichment analyses of the STAT family were investigated via Oncomine, GEPIA, Kaplan Meier-plotter, cBioPortal, Metascape and GSEA. Analysis of tumor immune microenvironment was conducted by ESTIMATE and TIMER. “pRRophetic” packages were used for analysis of chemotherapeutic response. Finally, the diagnostic and prognostic value of key STATs were further validated through public datasets and immunohistochemistry. Results: In this study, only STAT1 mRNA level was significantly increased in tumor tissues and highly expressed in PC cell lines via multiple datasets. PC patients with higher STAT1/4/6 expression had a worse overall survival (OS) and progression-free survival (PFS), while higher STAT5B expression was correlated with better prognosis in the TCGA cohort. The STATs-associated genes were enriched in pathways about the remodeling of tumor immune microenvironment. The STATs levels were significantly correlated with immune infiltration, except STAT6. The STAT1 was identified as a potential biomarker and its diagnostic and prognostic value were further validated at mRNA and protein levels. GSEA showed that STAT1 may be involved in the progression and immune regulations of PC. Moreover, STAT1 expression was significantly related to the level of immune checkpoint, and predicted immunotherapy and chemotherapy responses. Conclusion: STAT family members were comprehensively analyzed and STAT1 was identified as an effective biomarker for predicting the survival and therapeutic response, which could be beneficial to develop better treatment strategies.

Background: PD-1 blockade has been shown to have promising efficacy and acceptable safety profiles in advanced and metastatic gastric cancer; however, the efficacy and safety of neoadjuvant PD-1 blockade-based immunotherapy plus chemotherapy in locally advanced gastric cancer (LAGC) remain uncertain. Methods: We performed a retrospective review of patients with LAGC who received neoadjuvant treatment followed by D2 radical resection at the Affiliated Hospital of Qingdao University from 2019 to 2021. The primary aim was to investigate the difference in pathological response rates between neoadjuvant PD-1 immunotherapy plus chemotherapy and neoadjuvant chemotherapy alone. Multivariable models for pathological complete response (pCR) were constructed to investigate the factors that facilitate pCR. Trial registration: QYFYWZLL27406. Results: A total of 77 patients were included in the analysis, among whom 34 (44.2%) received neoadjuvant PD-1 blockade immunotherapy plus chemotherapy. A higher pCR rate was observed in the neoadjuvant PD-1 blockade immunotherapy plus chemotherapy group (8 of 34, 23.5% vs. 2 of 43, 4.7%, P=0.019). Multivariate logistic regression analysis of pCR revealed neoadjuvant PD-1 blockade plus chemotherapy regimen promoted pCR (OR 12.95, P=0.016). Regarding safety, 76.5% (26 of 34) of patients in the PD-1 blockade plus chemotherapy group and 76.7% (33 of 43) of patients in the chemotherapy group experienced treatment-related adverse events (TRAEs), and grade 3 or worse adverse events were 29.4% (10 of 34) and 34.9% (15 of 43), respectively. Conclusion: Neoadjuvant PD-1 blockade plus chemotherapy induced a higher pCR rate than neoadjuvant chemotherapy, and the combined therapy was tolerable in LAGC patients.

Background: We compared the efficacy, safety, and immunogenicity of MIL60 with reference bevacizumab as first-line treatment in patients with advanced or recurrent non-squamous non-small cell lung cancer (NSCLC) in this phase 3, randomized, double-blind study. Methods: Patients with untreated advanced or recurrent NSCLC were randomized (1:1 ratio) to receive either MIL60 or bevacizumab in combination with paclitaxel/carboplatin. Patients with non-progressive disease continued maintenance single-agent MIL60 until disease progression, or intolerable toxicity. The primary endpoint was the 12-week objective response rates (ORR12) by independent review committee (IRC) using RECIST 1.1. Bioequivalence was established if the ORR ratio located between 0.75 and 1/0.75. The trial was registered with clinicaltrials.gov (NCT03196986). Findings: Between Aug 23, 2017, and May 8, 2019, 517 patients were randomly assigned to MIL60 group (n=257) and bevacizumab group (n=260). In the full analysis set (FAS) population including all randomized and evaluable patients who received at least one dose of MIL60 or bevacizumab, the ORR12 in MIL60 group and bevacizumab group were 48.6% and 43.1%, respectively. The ORR ratio of these two groups were 1.14 (90% CI 0.97-1.33), which fell within the pre-specified equivalence boundaries (0.75-1/0.75). The median DOR was 5.7 months (95% CI 4.5-6.2) for MIL60 and 5.6 months (95% CI 4.3-6.4) for bevacizumab. No significant difference was noted in median PFS (7.2 vs. 8.1 months; HR 1.01, 95% CI 0.78-1.30, p=0.9606) and OS (19.3 vs. 16.3 months; HR 0.81, 95% CI 0.64-1.02, p=0.0755). Safety and tolerability profiles were similar between the two groups. No patient detected positive for Anti-drug antibody (ADA). Interpretation: The efficacy, safety and immunogenicity of MIL60 were similar with bevacizumab, providing an alternative treatment option for advanced or recurrent non-squamous NSCLC. Funding: This study was sponsored by Betta Pharmaceutical Co., Ltd.

Background: Metastasis is the primary cause of tumor death in renal cell carcinoma (RCC). Improved diagnostic markers of metastasis are critically needed for RCC. MicoRNAs are demonstrated to be stable and significant biomarkers for several malignancies. In this study, we aimed to explore the metastasis related microRNAs and its mechanism in RCC. Methods: The relationship between microRNAs expression and prognosis and metastasis of RCC patients were explored by data mining through expression profiles from The Cancer Genome Atlas (TCGA). A total of 80 RCC tissues and adjacent normal kidney tissues were obtained from Department of Urology, Peking University First Hospital. Expression of microRNA-200b (miR-200b) in RCC tissues and cell lines were determined by bioinformatic data mining and quantitative real-time PCR (qRT-PCR). The effects of miR-200b on cell proliferation, migration and invasion were determined by cell counting kit-8 and colony formation assay, wound healing assay and Boyden chamber assay. Mouse cell-derived xenograft and patient-derived xenograft model were also performed to evaluate the effects of miR-200b on tumor growth and metastasis in vivo. The molecular mechanism of miR-200b function was investigated using bioinformatic target predication and high-throughput cDNA sequencing (RNA-seq) and validated by luciferase reporter assay, qRT-PCR, Western blot and immunostaining in vitro and in vivo. Findings: Our findings indicates that miR-200b is frequently downregulated and have potential utility as a biomarker of metastasis and prognosis in RCC. Interestingly, ectopic expression of miR-200b in the Caki-1 and OSRC-2 cell lines suppresses cell migration and invasion in vitro as well as tumor metastases in vivo. However, miR-200b has no effect on cell proliferation in vitro and tumor growth in vivo. In addition, bioinformatics target predication and RNA-seq results reveals that Laminin subunit alpha 4 (LAMA4) is one target of miR-200b and significantly inhibited by miR-200b in vitro and in vivo. Interpretation: These results demonstrate a previously undescribed role of miR-200b as a suppressor of tumor metastasis in RCC by directly destabilizing LAMA4 mRNA. Keywords: Renal cell carcinoma, MicroRNA-200b, LAMA4, Metastasis

Summary: The emergence of the novel coronavirus disease 2019 (COVID-19) is placing an increasing burden on healthcare systems. Although the majority of infected patients experience non-severe symptoms and can be managed at home, some individuals develop severe symptoms and require hospital admission. Therefore, it is critical to efficiently assess the severity of COVID-19 and identify hospitalization priority with precision. In this respect, a four-variable assessment model, including lymphocyte, lactate dehydrogenase, C-reactive protein, and neutrophil, is established and validated using the XGBoost algorithm. This model is found to be effective in identifying severe COVID-19 cases on admission, with a sensitivity of 84.6%, a specificity of 84.6%, and an accuracy of 100% to predict the disease progression toward rapid deterioration. It also suggests that a computation-derived formula of clinical measures is practically applicable for healthcare administrators to distribute hospitalization resources to the most needed in epidemics and pandemics. The Bigger Picture: The COVID-19 pandemic is threatening millions of lives and putting medical systems under stress worldwide. Although the infection growth in some areas has ceased, there is a risk of a second wave. Therefore, a sustainable strategy to defend against a pandemic using the current limited but effective healthcare resources is in high demand. Our study aims to find a solution that triages patients to hospitalization by identifying their severity progression. In this study, a model that used four easily accessible biomarkers to assess the risk of severe COVID-19 was successfully developed. This model is easy to use, and it eliminates the dependence on expensive equipment to make a decision. It was found to be effective in identifying the risk of severe COVID-19. Thus, it is practically applicable for general practitioners to effectively assess the infection and allocate inpatient care to the cases who need it most. Our study is expected to have a prolonged social impact under the current circumstances.

Objectives: Vitamin B6 deficiency is associated with a wide spectrum of clinical syndromes. While vitamin B6 status is primarily assessed by measuring the biologically active form of the vitamin, pyridoxal 5-phosphate (PLP), concurrent measurement of the final metabolite 4-pyridoxic acid (PA) can provide additional information regarding supplement intake and hypophosphatasia. The aim of this study is to develop a simple method traceable to the NIST standard reference material 3950 for simultaneous detection of PLP and PA. Design & methods: A one-step reverse phase HPLC method with fluorescence detection was developed by evaluating different derivatization conditions, the use of an internal standard and different calibration strategies. The assay analytical performance was evaluated. Results: Pre-column derivatization with semicarbazide showed the best overall performance in terms of signal to noise ratio, retention time and peak shape when compared to pre- or post-column derivatization with chlorite, pre-column or in-mobile phase derivatization using sodium bisulfite. The final method provided an analytical measurement range from 7.8 to 350 ​nmol/L for PLP and 3.3–339 ​nmol/L for PA, total imprecision

Abstract Background The extracellular volume (ECV), derived from cardiovascular magnetic resonance (CMR) T1 mapping, is a biomarker of the extracellular space in the myocardium. The hematocrit (HCT), measured from venipuncture, is required for ECV measurement. We test the clinic values of synthetic ECV, which is derived from the longitudinal relaxation of blood–based (T1blood) synthetic hematocrit in 3 T CMR. Methods A total of 226 subjects with CMR T1 mapping and HCT measurement taken on the same day as the CMR were retrospectively enrolled and randomly split into derivation (n = 121) and validation (n = 105) groups, comprising healthy subjects (n = 45), type 2 diabetes mellitus (T2DM) patients (n = 60), hypertrophic cardiomyopathy (HCM) patients (n = 93), and 28 other patients. Correlation of T1blood with the measured HCT (HCTm) was established in the derivation group and used in both the derivation and the validation groups. The relationships between the ECV values derived from both the synthetic HCT (HCTsyn) and HCTm were explored. In addition, the differences in the ECV values among the HC, T2DMs, and HCMs were compared. Results Regression between the HCTm and 1/T1blood was linear (R2 = 0.19, p