Abstract Parameter estimation for reactive transport models (RTMs) is important in improving their predictive capacity accurately simulating subsurface hydrogeochemical processes. This paper introduces a deep learning approach called the tandem neural network architecture (TNNA), which consists of forward and reverse to estimate input parameters RTMs. The TNNA has limitation that approximation error from often results biased inversion results. To solve this problem, we proposed enhance using...

Abstract Groundwater monitoring networks are direct sources of information for revealing subsurface system dynamic processes. However, designing such is difficult due to uncertainties in the spatial heterogeneity aquifer parameters as permeability ( k ). This study combines deep learning and theory with an optimization framework address network design problems heterogeneous systems. The first employs a generative adversarial parameterize distribution using low‐dimensional latent...

It is well-known that CD226 serves as a critical activating receptor on various immune cells, such lymphocytes and monocytes, it suggested to promote anti-tumor immunity in the tumor microenvironment (TME). Herein, we showed crucial regulatory role of CD8 + T cell-mediated response TME human gastric cancer (GC). Specifically, increased expression tissues was significantly associated with better clinical outcomes GC patients. Moreover, infiltrating cells ratio subpopulation within could also...

Groundwater inverse modeling is a vital technique for estimating unmeasurable model parameters and enhancing numerical simulation accuracy. This paper comprehensively reviews the current advances future prospects of metaheuristic algorithm-based groundwater parameter inversion. Initially, simulation-optimization estimation framework introduced, which involves integration models with algorithms. The subsequent sections explore fundamental principles four widely employed algorithms—genetic...

Blood infection can release toxic bacterial lipopolysaccharides (LPSs) into bloodstream, trigger a series of inflammatory reactions, and eventually lead to multiple organ dysfunction, irreversible shock, even death, which seriously threatens human life health. Herein, functional block copolymer with excellent hemocompatibility is proposed enable broad-spectrum clearance LPSs from whole blood blindly before pathogen identification, facilitating timely rescue sepsis. A dipeptide ligand...

As debris flow is one of the most destructive natural disasters in many parts world, assessment and management future flows with proper forecasting methods are crucial for safety life property. So increasing attention has been paid to on flows. A method based rainfall-unstable soil coupling mechanism (R-USCM) presented current study. This formation mechanism. The density sediment introduced as an evaluation index determine susceptibility occurrence. includes two phases: (1) rainfall (2)...

Debris flow is one of the most frequently occurring geological disasters in Jilin province, China, and such often result loss human life property. The objective this study to propose verify an information fusion (IF) method order improve factors controlling debris as well accuracy susceptibility map. Nine layers (i.e., topography, elevation, annual precipitation, distance water system, slope angle, aspect, population density, lithology vegetation coverage) were taken predictors. improved by...

Soluble suppression of tumorigenicity 2 protein (sST2) and tissue inhibitor matrix metalloproteinase (TIMP)-1 are involved in multiple pathogenic pathways, including cardiac remodeling, which is the main pathology atrial fibrillation (AF). This study aims to investigate previously unexplored relationship between serum levels sST2, TIMP-1, AF.This was a prospective cross-sectional conducted at Capital Medical University Affiliated Beijing Anzhen Hospital June 2019 July 2020, with total 359...

Abstract Objective The clinical efficacy and safety of sorafenib in patients with advanced liver cancer (ALC) were evaluated based on transarterial chemoembolization (TACE). Methods 92 ALC admitted to our hospital from May 2020 August 2022 randomly rolled into a control (Ctrl) group an observation (Obs) group, 46 each. Patients the Ctrl received TACE treatment, while those Obs molecular targeted therapy (SMTT) basis treatment strategy (400 mg/dose, twice daily, followed by 4-week follow-up...

To explore the antitumor effect of hypoxia-inducible factor-1 α short hairpin RNA (HIF-1 shRNA) delivered by ultrasound targeted microbubble destruction (UTMD) and transcatheter arterial embolization (TAE) on rats with hepatic cancer. After models transplantation hepatoma were established, Wistar randomly divided into 4 groups: Control group, UTMD TAE UTMD+TAE group. Contrast-enhanced (CEUS) was used to monitor tumor size day 14 after four different treatments. Western blotting...

The main purpose of this study was to compare two types watershed units divided by the hydrological analysis method (HWUs) and mean curvature (CWUs) for debris flow susceptibility mapping (DFSM) in Northeast China. Firstly, a inventory map consisting 129 flows non-debris randomly into ratio 70% 30% training testing. Secondly, 13 influencing factors were selected correlations between these determined frequency ration analysis. Then, (HWUs CWUs) logistic regression (LR), multilayer perceptron...

Neuronal tuning property such as preferred direction and modulation depth could change gradually or abruptly in brain machine interface (BMI). The decoding performance will decay static algorithms where dynamic neuronal is regarded stationary. Many adaptive have been proposed to update the time-varying parameter with main consideration on performance, but seldom focus exploring how individual changes physiologically. We propose a novel algorithm based sequential Monte Carlo point process...

An improved extenics model was established to predict disaster risk grades of tunnel construction in this study. In the model, rough set theory (RS) selected determine weight coefficients indicators. Then, a case study undertaken with model. Based on survey field, seven indicators were estimate Shuangfeng tunnel. The result showed that prediction reasonable for and could precisely reflect good engineering practicability.

Tissue inhibitor of metalloproteinase-1 (TIMP-1) levels is strongly associated with cardiac extracellular matrix accumulation and atrial fibrosis. Whether serum TIMP-1 are fibrillation (AF) recurrence following radiofrequency catheter ablation (RFCA) remains unknown.Serum patients AF before they underwent initial RFCA were measured using ELISA. Univariate multivariate-adjusted Cox models constructed to determine the relationship between recurrence. Multivariate logistic regression analyses...

Background Immune-based therapies are commonly employed to combat hepatocellular carcinoma (HCC). However, the presence of immune-regulating elements, especially regulatory T cells (Tregs), can dramatically impact treatment efficacy. A deeper examination immune-regulation mechanisms linked these inhibitory factors and their on HCC patient outcomes is warranted. Methods We multicolor fluorescence immunohistochemistry (mIHC) stain Foxp3, cytokeratin, nuclei an tissue microarray (TMA)....

Abstract. Machine learning has significantly improved inverse modeling for groundwater systems. One promising development is the tandem neural network architecture (TNNA), which integrates surrogate and reverse mapping efficient forward simulations data assimilation. Although TNNA shown success in modeling, its application scenarios remain limited, advantages over conventional methods have not been fully explored. This paper aims to address these gaps by comparing method with four...