Construction and Validation of a Prognostic Prediction Model for Gastric Mucinous Adenocarcinoma Based on the SEER Database

This study focused on the development and validation of a prognostic model to predict overall survival (OS) in patients with gastric mucinous adenocarcinoma (GMA), utilizing data from the SEER database. A cohort of 537 GMA patients was analyzed to identify factors affecting survival, using both univariate and multivariate Cox regression analyses on demographic and clinicopathological variables. The analysis led to the creation of a nomogram model. Findings revealed that TNM staging and the administration of radiotherapy or chemotherapy were significant factors impacting survival outcomes. Specifically, patients at stages T4, N3, and M1 faced a notably higher mortality risk, while those who received radiotherapy and chemotherapy experienced a significant reduction in mortality risk. The model's performance, as indicated by C-indices of 0.73 in the training set and 0.66 in the validation set, suggests robust predictive capability. The area under the curve (AUC) analysis confirmed high accuracy in predicting 1-year, 3-year, and 5-year survival rates, and calibration curves displayed strong agreement between predicted and actual outcomes. Decision curve analysis (DCA) demonstrated that the model exhibited significant clinical utility across various thresholds. Overall, this study presents a reliable prognostic tool for individualized risk stratification and clinical treatment in GMA patients. Future work should focus on enhancing the model by incorporating molecular biological data to increase its predictive accuracy and applicability

Exploration of the Antitumor Mechanism of Fruquintinib in Colorectal Cancer via Autophagy Regulation

Colorectal cancer (CRC) ranks as the second leading cause of cancer-related mortality worldwide, with treatment challenges largely attributed to late-stage diagnoses, frequent recurrences, and resistance to therapy. In recent years, Fruquintinib, a selective vascular endothelial growth factor receptor (VEGFR) inhibitor, has shown notable effectiveness in advanced CRC by targeting angiogenesis. However, CRC cells often activate autophagy in response to hypoxia and nutrient deprivation caused by anti-angiogenic therapy, which diminishes the therapeutic efficacy of Fruquintinib. Autophagy plays a dual role in CRC by suppressing tumorigenesis through the removal of damaged organelles, while facilitating tumor progression and therapeutic resistance through metabolic adaptation in advanced stages. This complexity underscores the therapeutic promise of strategies targeting autophagy. Current studies reveal that Fruquintinib induces autophagy by inhibiting VEGFR signaling, activating AMPK, and suppressing mTOR, while interacting synergistically with other cell death mechanisms such as apoptosis, ferroptosis, and pyroptosis to enhance its antitumor activity. However, excessive autophagy activation may enable tumor cell survival and promote resistance, highlighting the necessity of precise modulation of autophagy in combination therapies. Moreover, preclinical studies indicate that combining Fruquintinib with autophagy modulators significantly enhances its antitumor effects and delays resistance emergence. This review offers a systematic analysis of Fruquintinib's antitumor mechanisms via autophagy modulation and its potential clinical implications. Based on the reviewed evidence, we propose strategies to optimize Fruquintinib-based combination therapies, including the use of autophagy-related biomarkers, autophagy modulators, and precision medicine approaches tailored to tumor genomic profiles, aiming to enhance treatment outcomes for CRC patients

Optimization of Offshore FPV Modules in Early Design Phase

Offshore Floating Photovoltaic (FPV) systems are gaining attention due to the high Technology Readiness Levels (TRL) of PV panels and offshore structures. Numerous offshore FPV design proposals exist, but none have yet met industrial standards. The designs fall into two main categories: membrane type supported by a floating collar/air cushion and modular structure type comprising interconnected FPV modules. This paper uses semi-analytical methods to optimize the modular structure type design, considering fabrication cost, module stability, and hydrodynamic response in waves.Optimization of Offshore FPV Modules in Early Design PhaseacceptedVersio

Di-μ-benzoato-κ3 O,O′:O′;κ3 O:O,O′-bis[aqua­bis­(benzoato-κ2 O,O′)(dimethylformamide-κO)europium(III)]

The title dimeric complex, [Eu2(C7H5O2)6(C3H7NO)2(H2O)2], is centrosymmetric, implying that pairs of equivalent Eu3+ ions and ligands lie trans to each other and that the two Eu3+ ions have exactly the same coordination environment. Each Eu3+ ion is nine-coordinated by two bidentate benzoate ligands, two bridging tridentate chelating benzoate ligands, and one dimethylformamide and one water molecule. The coordination polyhedron of each Eu3+ ion can be described with a distorted monocapped square-anti­prismatic geometry. The mol­ecular structure is stabilized by intra- and inter­molecular hydrogen bonds between the water mol­ecules and benzoate O atoms

Blockchain-Based Trusted Electronic Records Preservation in Cloud Storage

Cloud storage represents the trend of intensive, scale and specialization of information technology, which has changed the technical architecture and implementation method of electronic records management. Moreover, it will provide a convenient way to generate more advanced and efficient management of the electronic data records. However, in cloud storage environment, it is difficult to guarantee the trustworthiness of electronic records, which results in a series of severe challenges to electronic records management. Starting from the definition and specification of electronic records, this paper firstly analyzes the requirements of the trustworthiness in cloud storage during their long-term preservation according to the information security theory and subdivides the trustworthiness into the authenticity, integrity, usability, and reliability of electronic records in cloud storage. Moreover, this paper proposes the technology framework of preservation for trusted electronic records. Also, the technology of blockchain, proofs of retrievability, the open archival information system model and erasure code are adopted to protect these four security attributes, to guarantee the credibility of the electronic record

Construction and Verification of A Nomogram Model for Predicting Invasive Risk of Ground Glass Nodules

Objective To investigate the importance of a nomogram model based on biomarkers and CT signs in the prediction of the invasive risk of ground glass nodules. Methods A total of 322 patients with ground glass nodule, including 240 and 82 patients in the model and verification groups, respectively, were retrospectively analyzed. Independent risk factors for the invasive risk of ground glass nodules were screened out after using single and multiple Logistic analysis. R software was used to construct the nomogram model, and clinical decision curve analysis (DCA), receiver operating curve (ROC), and calibration curve were used for internal and external verification of the model. Results In this study, the independent risk factors for the invasive risk of ground glass nodules included systemic immune-inflammation index (SII), CYFRA21-1, edge, vascular cluster sign, and nodular consolidation tumor ratio (CTR). The area under the ROC curve of the constructed nomogram model had a value of 0.946, and that of the external validation group reached 0.932, which suggests the good capability of the model in predicting the invasive risk of ground glass nodules. The model was internally verified through drawing of calibration curves of Bootstrap 1000 automatic sampling. The results showed that the consistency index between the model and actual curves reached 0.955, with a small absolute error and good fit. The DCA curve revealed a good clinical practicability. In addition, nodule margin, vascular cluster sign, and CTR were correlated with the grade of pathological subtype of invasive adenocarcinoma. Conclusion A nomogram model based on biomarkers and CT signs has good value and clinical practicability in the prediction of the invasive risk of ground glass nodules

Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar

Accurate canopy structure datasets, including canopy height and fractional cover, are required to monitor aboveground biomass as well as to provide validation data for satellite remote sensing products. In this study, the ability of an unmanned aerial vehicle (UAV) discrete light detection and ranging (lidar) was investigated for modeling both the canopy height and fractional cover in Hulunber grassland ecosystem. The extracted mean canopy height, maximum canopy height, and fractional cover were used to estimate the aboveground biomass. The influences of flight height on lidar estimates were also analyzed. The main findings are: (1) the lidar-derived mean canopy height is the most reasonable predictor of aboveground biomass (R2 = 0.340, root-mean-square error (RMSE) = 81.89 g·m−2, and relative error of 14.1%). The improvement of multiple regressions to the R2 and RMSE values is unobvious when adding fractional cover in the regression since the correlation between mean canopy height and fractional cover is high; (2) Flight height has a pronounced effect on the derived fractional cover and details of the lidar data, but the effect is insignificant on the derived canopy height when the flight height is within the range (<100 m). These findings are helpful for modeling stable regressions to estimate grassland biomass using lidar returns

Fatal risk factors and the efficacy of glucocorticoid therapy in severe fever with thrombocytopenia syndrome: a multicenter retrospective cohort study

BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease characterized by rapid progression and high mortality. Glucocorticoids (GCs) can be used as anti-inflammatory agents for SFTS, but no standardized protocols have been proposed.MethodsA total of 901 patients with SFTS diagnosed at two hospitals between July 2017 and October 2023 were included in this retrospective cohort study. Univariate and multivariate logistic regression were performed along with LASSO regression to identify independent risk factors of fatal outcomes and further develop mortality prediction model. A nomogram was used to visualize the predictive model. ROC curves, calibration curves, and DCA curves were conducted to assess model accuracy and clinical applicability. The efficacy of GC was assessed using survival analyses, and further subgroup analyses of the effects of different GC regimens on fatal outcomes and hospital-acquired infections (HAI) were performed. Propensity score matching (PSM) analyses were conducted to control confounding factors.ResultsOlder age (age > 69 years), consciousness disturbance, decreased monocyte counts, prolonged activated partial thromboplastin time (APTT), and high viral load were identified as strong predictors of fatal outcomes in patients with SFTS. Patients were classified into mild and severe groups according to risk scores calculated by the nomogram (cut-off value = 121.43). Survival analyses showed that GCs treatment may reduce the mortality in severe patients (p = 0.004). Further subgroup analyses indicated that relatively high doses and early treatment with GCs may increase mortality in SFTS patients [OR = 2.292 (1.071, 5.066); OR = 3.693 (1.710, 8.345) respectively]. GCs treatment was associated with an elevated risk of HAI in patients both with mild and severe SFTS (p = 0.024; p = 0.015, respectively). Initiation of GCs therapy at a low level of aspartate aminotransferase (AST < 189.75 U/L) reduced the mortality before and after PSM (p<0.001; p = 0.004, respectively).ConclusionsA new nomogram based on five independent risk factors effectively predicts the prognosis of SFTS. Severe patients and those with low AST levels might benefit from GCs therapy while early and relatively high doses of GCs therapy should be used with caution