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Abstract Background The full potential of competing risk modeling approaches in the context of diffuse large B-cell lymphoma (DLBCL) patients has yet to be fully harnessed. This study aims to address this gap by developing a sophisticated competing risk model specifically designed to predict specific mortality in DLBCL patients. Methods We extracted DLBCL patients’ data from the SEER (Surveillance, Epidemiology, and End Results) database. To identify relevant variables, we conducted a two-step screening process using univariate and multivariate Fine and Gray regression analyses. Subsequently, a nomogram was constructed based on the results. The model’s consistency index (C-index) was calculated to assess its performance. Additionally, calibration curves and receiver operator characteristic (ROC) curves were generated to validate the model’s effectiveness. Results This study enrolled a total of 24,402 patients. The feature selection analysis identified 13 variables that were statistically significant and therefore included in the model. The model validation results demonstrated that the area under the receiver operating characteristic (ROC) curve (AUC) for predicting 6-month, 1-year, and 3-year DLBCL-specific mortality was 0.748, 0.718, and 0.698, respectively, in the training cohort. In the validation cohort, the AUC values were 0.747, 0.721, and 0.697. The calibration curves indicated good consistency between the training and validation cohorts. Conclusion The most significant predictor of DLBCL-specific mortality is the age of the patient, followed by the Ann Arbor stage and the administration of chemotherapy. This predictive model has the potential to facilitate the identification of high-risk DLBCL patients by clinicians, ultimately leading to improved prognosis.

A highly efficient separation method for trace plutonium from high uranium plutonium ratio samples was established by combining two Reillex anion exchange chromatographic columns. The effects of resin type, wash condition, valence state adjustment on plutonium separation were investigated, and the conditions of separation process were determined. When the mass ratio of uranium to plutonium in the feed liquid is 106, after two-stage Reillex column separation, the average yield of plutonium is 99.35% and the decontamination factor of uranium is greater than 107. Using this process, high purity trace 239Pu is separated from irradiated uranium target, and the atomic ratio of (238U+238Pu)/239Pu is (3.60±1.15)×10-5(n=6).

In order to study the subsidence deformation disaster prevention and mitigation in Fushun urban ground crack development area, we select different deformation sections of surface fault zone in Fushun West open-pit mine to carry out grouting reinforcement tests with sleeve valve tube method and full hole grouting method. Through the field practice, the rock mass is seriously broken and cavitated in the depth range of 18.50-25.5 m in the test area. F1A fault zone with full hole grouting method is better than sleeve valve tube method. It is better to use sleeve valve tube method in F41 fracture zone. Through the comparison of permeability and permeability coefficient before and after grouting, as well as drilling coring, it is shown that grouting reinforcement plays a filling and consolidation role in the test area, which is suitable for the treatment of deformation and failure of ground cracks.

In view of the adverse effects of geological disasters and destruction of resources and environment caused by mining activities in Fushun West Open-pit Mine on the residents’ living and enterprise operation in the near mining area, the safety and stability of the near mining area are comprehensively evaluated; based on the DPSR model, the factors affecting the safety of near mine urban area are classified, the safety evaluation index system of the near mine urban area is constructed, and the AHP fuzzy comprehensive evaluation method is used to comprehensively evaluate the safety of the near mine urban area. The results show that from 1960 to 2020, the safety index of the state system near the urban area of Fushun West Open-pit Mine decreased, but the comprehensive safety evaluation index is in an upward trend.

BackgroundColon adenocarcinoma (COAD) is a malignant and lethal tumor in digestive system and distance metastasis lead to poor prognosis. The metastasis-specific ceRNAs (competitive endogenous RNAs) and tumor-infiltrating immune cells might associate with tumor prognosis and distance metastasis. Nonetheless, few studies have concentrated on ceRNAs and Immune cells in COAD.MethodsThe gene expression profile and clinical information of COAD were downloaded from TCGA and divided into two groups: primary tumors with or without distance metastasis. We applied comprehensive bioinformatics methods to analyze differential expression genes (DEGs) related to metastasis and establish the ceRNA networks. The Cox analysis and Lasso regression were utilized to screen the pivotal genes and prevent overfitting. Based on them, the prognosis prediction nomograms were established. The cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was then applied to screen significant tumor immune-infiltrating cells associated with COAD metastasis and established another prognosis prediction model. Ultimately, co-expression analysis was applied to explore the relationship between key genes in ceRNA networks and significant immune cells. Multiple databases and preliminary clinical specimen validation were used to test the expressions of key biomarkers at the cellular and tissue levels.ResultsWe explored 1 significantly differentially expressed lncRNA, 1 significantly differentially expressed miRNA, 8 survival-related immune-infiltrating cells, 5 immune cells associated with distance metastasis. Besides, 3 pairs of important biomarkers associated with COAD metastasis were also identified: T cells follicular helper and hsa-miR-125b-5p (R = −0.200, P < 0.001), Macrophages M0 and hsa-miR-125b-5p (R = 0.170, P < 0.001) and Macrophages M0 and FAS (R = −0.370, P < 0.001). Multidimensional validation and preliminary clinical specimen validation also supported the results.ConclusionIn this research, we found some significant ceRNAs (FAS and hsa-miR-125b-5p) and tumor-infiltrating immune cells (T cells follicular helper and Macrophages M0) might related to distance metastasis and prognosis of COAD. The nomograms could assist scientific and medical researchers in clinical management.

As an effective computational method, the numerical simulation of welding processes has been widely used in evaluating welding temperature fields and residual stress distributions. In the numerical simulation process, the selection of the welding heatsource model and the confirmation of model parameters will directly affect the accuracy of the calculation and the evaluation results. Some heat-source models commonly used in numerical simulations of the arc welding process were surveyed in this article; advances in their development were introduced, and their characteristics and applicability were analyzed. As basic heat-source models, the Gauss surface heat-source modes and double-ellipsoid-volume heat-source model have been widely used in the numerical simulation of arc welding for workpieces with a relatively small size and a regular welding trajectory, and the calculation results have been demonstrated to be accurate. In the numerical simulation of arc welding processes for large and thick workpieces welded using multi-layer or multipass techniques and for workpieces with a complex welding trajectory, the simplified heat-source model and temperature-substitution heat-source model are chiefly applied, and the calculation efficiency and precision can be well balanced. The heat source of multi-wire arc welding is comparatively complicated, and the superposed model of modified double-ellipsoid-volume heat-source models can ensure a certain accuracy of the calculation results. The combined heat-source model is more flexible in the shape description of the molten pool and has advantages in the numerical simulation of arc welding with deep penetration. The all-around induction and analyses in this article are expected to provide valuable reference and guidance for the selection of a heat-source model and for confirming model parameters in the numerical simulation of arc welding processes.

Abstract Background Malignant acanthosis nigricans (MAN), characterized by the presence of a hyperpigmented, velvety cutaneous thickening, is recognized as a cutaneous sign of internal malignancy. Few MAN has been reported in the Asian race ever before. Case presentation Here, we report a rare case of MAN with severe mucosa and soles and extraordinary facial involvement in the Asian race. A 74-year-old man presented with hyperkeratotic eruption for 7 months. Physical examination revealed hyperkeratotic plaques on the face, dorsal skin of fingers and heels, and papillomatosis of buccal mucosa. Biopsy findings from skin lesion revealed hyperkeratosis, papillomatosis, and hyperpigmentation of the basal layer. The endoscopic ultrasound with biopsy of the gastric tissue revealed gastric cardia tubular adenocarcinoma. The patient was diagnosed with MAN associated with gastric adenocarcinoma, immediately following tumor resection and lymphadenectomy. A slight improvement was seen in the skin condition but died of cancer cachexia 3 months later. Conclusions We report our typical patient to highlight the importance of MAN, which was an early clue to the discovery of gastric adenocarcinoma.

Let Ks,t be the complete bipartite graph with partite sets of size s and t. Let L1 = ([a1, b1], . . . , [am, bm]) and L2 = ([c1, d1], . . . , [cn, dn]) be two sequences of intervals consisting of nonnegative integers with a1 ≥ a2 ≥ . . . ≥ am and c1 ≥ c2 ≥ . . . ≥ cn. We say that L = (L1; L2) is potentially Ks,t (resp. As,t)-bigraphic if there is a simple bipartite graph G with partite sets X = {x1, . . . , xm} and Y = {y1, . . . , yn} such that ai ≤ dG(xi) ≤ bi for 1 ≤ i ≤ m, ci ≤ dG(yi) ≤ di for 1 ≤ i ≤ n and G contains Ks,t as a subgraph (resp. the induced subgraph of {x1, . . . , xs, y1, . . . , yt} in G is a Ks,t). In this paper, we give a characterization of L that is potentially As,t-bigraphic. As a corollary, we also obtain a characterization of L that is potentially Ks,t-bigraphic if b1 ≥ b2 ≥ . . . ≥ bm and d1 ≥ d2 ≥ . . . ≥ dn. This is a constructive extension of the characterization on potentially Ks,t-bigraphic pairs due to Yin and Huang (Discrete Math. 312 (2012) 1241–1243).

The number of multidrug-resistant strains of Riemerella anatipestifer continues to increase, and new strategies for the treatment of associated infections are necessary. Recently, numerous studies have shown that efflux pumps (EPs) play key roles in universal bacterial mechanisms that contribute to antibiotic resistance. In addition, studies have shown that the effects of antibiotics that are subjected to efflux can be reinforced by their combined use with efflux pump inhibitors (EPIs). Unfortunately, the role of the efflux system in R. anatipestifer remains barely understood. In this study, we evaluated the role of EPs and resistance genes in the resistance generated by clinical strains of R. anatipestifer to antibiotics. A set of 10 R. anatipestifer strains were characterized by drug resistance, associated resistance genes, and antibiotic profiles in the presence and absence of EPIs. Efflux activity was studied on a real time basis through a fluorometric method. Quantification of the levels of mRNA transcription of efflux pump genes (EPGs) was determined by RT-qPCR. Several approaches (detection of resistance genes, drug susceptibility testing, and growth kinetics analysis) were used to assess the correlation between the effect of the EPIs and the resistance levels. Analysis of the R. anatipestifer growth inhibition tests showed that the antibiotic activity was enhanced by the synergy of EPIs. Among the various resistance genes that confer antibiotic resistance, different minimum inhibitory concentrations (MICs) were observed. The different levels of resistance were reduced by EPIs. Real time fluorometry showed that all the R. anatipestifer strains presented inherent efflux activity, conferring varying levels of inhibition in the presence of EPIs. Moreover, 15 EPGs were overexpressed in the presence of antibiotics. The addition of EPIs to antibiotics led to downregulation in the expression of some EPGs and a simultaneous increase in drug resistance and sensitivity. These results demonstrated the contribution of these EPs in the resistant phenotype of the clinical strains of R. anatipestifer that are under investigation, independently of the resistant genotype of the respective strains. Intrinsic efflux activity was possibly linked to the evolution of resistance in multidrug-resistant isolates of R. anatipestifer. Furthermore, the inhibition of EPs by EPIs could enhance the clinical effects of antibiotics.