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Selenium is an essential micronutrient element. For the extremely biotoxic of selenite, Selenium nanoparticles (SeNPs) is gaining increasing interest. In this work, a selenium-enriched strain with highly selenite-resistant (up to 173 mmol/L) was isolated from the local specialty food of longevity area and identified as Paenibacillus motobuensis ( P. motobuensis ) LY5201. Most of the SeNPs were accumulated extracellular. SeNPs were around spherical with a diameter of approximately 100 nm. The X-ray photoelectron spectroscopy and Fourier transform infrared spectroscopy showed that the purified SeNPs consisted of selenium and proteins. Our results suggested that P. motobuensis LY5201could be a suitable and robust biocatalyst for SeNPs synthesis. In addition, the cytotoxicity effect and the anti-invasive activity of SeNPs on the HepG2 showed an inhibitory effect on HepG2, indicating that SeNPs could be used as a potential anticancer drug.

With the improvement of the material level, the employees of companies do not only pay attention to the level of wages, but rather focus on the happiness that the work induces, the quality of life, and the psychological well-being. Current research on corporate social responsibility has mostly concerned both macroscopic and institutional aspects, and empirical studies that address microscopic aspects of the organization employees are relatively scant. Therefore, it is the aim of this study to investigate whether corporate social responsibility perceived by employees affects subjective well-being, as well as to examine the intermediary mechanism through which employees perceive subjective well-being. Based on the social identity theory, this study establishes a research model that sets corporate social responsibility, organizational identification, and moral identity perceived by employees as antecedent variables of subjective well-being, and uses organizational support as a moderating variable. The survey data used in this study were collected from social media in the form of a questionnaire. The survey used a total of 508 questionnaires for employees of “Haier”, a Chinese home appliance manufacturing company, for one month in September 2022. The conclusions drawn through this study are that, first, corporate social responsibility has a significant positive (+) effect on subjective well-being, and, second, organizational identification mediates the relationship between perceived corporate social responsibility and subjective well-being. Third, moral identity plays a partial mediating role between perceived corporate social responsibility and subjective well-being. Finally, organizational support moderates the relationship between employees’ perceived corporate social responsibility and organizational identification. It is expected that the research result will contribute to better understanding of the mechanism in which perceived corporate social responsibility boosts employees’ subjective well-being, which has huge implications for companies in ways that affect organizational performance as well as corporate loyalty.

To achieve more precise and regionally adaptive emission control, this study develops a dual-control framework that simultaneously constrains both total carbon emissions and pollutant concentration levels. Regional environmental heterogeneity is incorporated into the dispatch of generating units to balance emission reduction and operational efficiency. Based on this concept, a regional carbon emission allowance allocation model is constructed by integrating ecological pollutant concentration thresholds. A multi-source Gaussian plume dispersion model is further developed to characterize the spatial and temporal distribution of pollutants from coal-fired power units. These pollutant concentration constraints are embedded into an environmental–economic dispatch model of a coupled electricity–hydrogen–carbon system supported by hybrid storage. By optimizing resource use and minimizing environmental damage at the energy-supply stage, the proposed model provides a low-carbon foundation for the entire industrial production cycle. This approach aligns with the sustainable development paradigm by integrating precision environmental management with circular economy principles. Simulation results reveal that incorporating pollutant concentration control can effectively reduce localized environmental pressure while maintaining overall system economy, highlighting the importance of region-specific environmental capacity in enhancing the overall environmental friendliness of the industrial chain.

Purpose Ductal carcinoma in situ (DCIS) is considered a precursor to invasive ductal carcinoma (IDC), and the coexistence of DCIS with IDC is often observed during the diagnosis of breast cancer. The aim of study is to investigated the clinicopathological features and prognosis of triple-negative IDC with DCIS following neoadjuvant therapy (NAT). Additionally, we explored the risk factors for residual DCIS in these patients post-NAT. Methods This study included patients with stages II-III triple-negative breast cancer with histologically confirmed IDC who underwent radical surgery after NAT between January 2011 and December 2021. Baseline data, clinical features, pathological outcomes, and prognostic information were collected and analyzed. Results A total of 315 patients were enrolled and categorized into the IDC + DCIS ( n  = 67) and IDC groups ( n  = 248) according to the composition of the pre-NAT biopsy. The proportion of patients with histological grade G3 (78.2% vs. 61.2%, p  = 0.004) and a Ki-67 index > 20% (98.4% vs. 86.6%, p  < 0.001) was significantly higher in the IDC group than in the IDC + DCIS group. Although no significant difference was observed in the 5-year overall survival (OS) (93.4% vs. 90.8%, p  = 0.298) between the two groups, the 5-year disease-free survival (DFS) (90.6% vs. 83.5%, p  = 0.041) of the IDC + DCIS group was significantly better than that in the IDC group. Multivariate analysis demonstrated that IDC + DCIS (HR: 0.502; 95% CI, 0.284–0.952; p  = 0.048) was an independent prognostic factor for DFS. In addition, the clinical T3–T4 stage (OR = 3.891; 95% CI, 1.320–15.219, p  = 0.040) and clinical N1–N3 (OR = 4.500; 95% CI, 1.495–13.564, p  = 0.012) were independent preoperative predictors of residual DCIS after NAT in patients with IDC and DCIS components. Conclusion The presence of DCIS component in patients with triple-negative IDC is associated with lower tumor aggressiveness and improved DFS after NAT compared to patients without DCIS. Additionally, clinical T and N stages are risk factors for residual DCIS after NAT in patients with triple-negative IDC and a DCIS component.

Background Ferroptosis, a novel form of regulated cell death, has been implicated in the pathogenesis of cancers. Nevertheless, the potential function and prognostic values of ferroptosis in bladder urothelial carcinoma (BLCA) are complex and remain to be clarified. Therefore, we proposed to systematically examine the roles of ferroptosis-associated genes (FAGs) in BLCA. Methods According to The Cancer Genome Atlas (TCGA) database, differently expressed FAGs (DEFAGs) and differently expressed transcription factors (DETFs) were identified in BLCA. Next, the network between DEFAGs and DETFs, GO annotations and KEGG pathway analyses were performed. Then, through univariate, LASSO and multivariate regression analyses, a novel signature based on FAGs was constructed. Moreover, survival analysis, PCA analysis, t-SNE analysis, ROC analysis, independent prognostic analysis, clinicopathological and immune correlation analysis, and experimental validation were utilized to evaluate the signature. Results Twenty-eight DEFAGs were identified, and four FAGs (CRYAB, TFRC, SQLE and G6PD) were finally utilized to establish the FAGs based signature in the TCGA cohort, which was subsequently validated in the GEO database. Moreover, we found that immune cell infiltration, immunotherapy-related biomarkers and immune-related pathways were significantly different between two risk groups. Besides, nine molecule drugs with the potential to treat bladder cancer were identified by the connectivity map database analysis. Finally, the expression levels of crucial FAGs were verified by the experiment, which were consistent with our bioinformatics analysis, and knockdown of TFRC could inhibit cell proliferation and colony formation in BLCA cell lines in vitro. Conclusions Our study identified prognostic ferroptosis-associated genes and established a novel FAGs signature, which could accurately predict prognosis in BLCA patients.

Background Early prediction of delayed cerebral ischemia (DCI) is critical to improving the prognosis of aneurysmal subarachnoid hemorrhage (aSAH). Machine learning (ML) algorithms can learn from intricate information unbiasedly and facilitate the early identification of clinical outcomes. This study aimed to construct and compare the ability of different ML models to predict DCI after aSAH. Then, we identified and analyzed the essential risk of DCI occurrence by preoperative clinical scores and postoperative laboratory test results. Methods This was a multicenter, retrospective cohort study. A total of 1039 post-operation patients with aSAH were finally included from three hospitals in China. The training group contained 919 patients, and the test group comprised 120 patients. We used five popular machine-learning algorithms to construct the models. The area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, precision, and f1 score were used to evaluate and compare the five models. Finally, we performed a Shapley Additive exPlanations analysis for the model with the best performance and significance analysis for each feature. Results A total of 239 patients with aSAH (23.003%) developed DCI after the operation. Our results showed that in the test cohort, Random Forest (RF) had an AUC of 0.79, which was better than other models. The five most important features for predicting DCI in the RF model were the admitted modified Rankin Scale, D-Dimer, intracranial parenchymal hematoma, neutrophil/lymphocyte ratio, and Fisher score. Interestingly, clamping or embolization for the aneurysm treatment was the fourth button-down risk factor in the ML model. Conclusions In this multicenter study, we compared five ML methods, among which RF performed the best in DCI prediction. In addition, the essential risks were identified to help clinicians monitor the patients at high risk for DCI more precisely and facilitate timely intervention.

Tomato ( ) is an annual or perennial herb that occupies an important position in daily agricultural production. It is an essential food crop for humans and its ripening process is regulated by a number of genes. S-adenosyl-l-homocysteine hydrolase (AdoHcyase, EC 3.3.1.1) is widespread in organisms and plays an important role in regulating biological methylation reactions. Previous studies have revealed that transgenic tomato that over-express 2 ripen earlier than the wild-type (WT). However, the differences in metabolites and the mechanisms driving how these differences affect the ripening cycle are unclear. To investigate the effects of 2 on metabolites in over-expressed tomato and WT tomato. over-expressed tomato fruit (OE-5# and OE-6#) and WT tomato fruit at the breaker stage (Br) were selected for non-targeted metabolome analysis. A total of 733 metabolites were identified by mass spectrometry using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and the Human Metabolome database (HMDB). The metabolites were divided into 12 categories based on the superclass results and a comparison with the HMDB. The differences between the two databases were analyzed by PLS-DA. Based on a variable important in projection value >1 and < 0.05, 103 differential metabolites were found between tomato variety OE-5# and WT and 63 differential metabolites were found between OE-6# and WT. These included dehydrotomatine, L-serine, and gallic acid amongst others. Many metabolites are associated with fruit ripening and eight common metabolites were found between the OE-5# . WT and OE-6# . WT comparison groups. The low L-tryptophan expression in OE-5# and OE-6# is consistent with previous reports that its content decreases with fruit ripening. A KEGG pathway enrichment analysis of the significantly different metabolites revealed that in the OE-5# and WT groups, up-regulated metabolites were enriched in 23 metabolic pathways and down-regulated metabolites were enriched in 11 metabolic pathways. In the OE-6# and WT groups, up-regulated metabolites were enriched in 29 pathways and down-regulated metabolites were enriched in six metabolic pathways. In addition, the differential metabolite changes in the L-serine to flavonoid transformation metabolic pathway also provide evidence that there is a phenotypic explanation for the changes in transgenic tomato. The metabolomic mechanism controlling promotion of tomato fruit ripening has been further elucidated.

Decision-making regarding biochemical recurrence (BCR) in localized prostate cancer (PCa) patients after radical prostatectomy (RP) mainly relies on clinicopathological parameters with a low predictive accuracy. Currently, accumulating evidence suggests that immune-associated genes (IAGs) play irreplaceable roles in tumorigenesis, progression and metastasis. Considering the critical role of immune in PCa, we therefore attempted to identify the novel IAGs signature and validate its prognostic value that can better forecast the risk for BCR and guide clinical treatment. RNA-sequencing and corresponding clinicopathological data were downloaded from the Gene Expression Omnibus (GEO) database and the Cancer Genome Atlas (TCGA) database. Weighted gene co-expression network analysis (WGCNA) was utilized to screen out the candidate module closely related to BCR, and univariate and LASSO Cox regression analyses were performed to build the gene signature. Kaplan-Meier (KM) survival analysis, time-dependent receiver operating curve (ROC), independent prognostic analysis and nomogram were also applied to evaluate the prognostic value of the signature. Besides, Gene ontology analysis (GO), Kyoto encyclopedia of genes and genomes (KEGG) and gene set enrichment analysis (GSEA) were used to explore potential biological pathways. A total of six IAGs (SSTR1, NFATC3, NRP1, TUBB3, IL1R1, GDF15) were eventually identified and used to establish a novel IAGs signature. The Kaplan-Meier analysis revealed that patients with low-risk scores had longer recurrence-free survival (RFS) than those with high-risk scores in both GSE70769 and TCGA cohorts. Further, our signature was also proven to be a valuable independent prognostic factor for BCR. We also constructed a nomogram based on the gene signature and related clinicopathologic features, which excellently predict 1-year, 3-year and 5-year prognosis of localized PCa patients after RP. Moreover, functional enrichment analysis demonstrated the vital biological processes, and stratified GSEA revealed that a crucial immune-related pathway (T cell receptor signaling pathway) was notably enriched in the high-risk group. We successfully developed a novel robust IAGs signature that is powerful in BCR prediction in localized PCa patients after RP, and created a prognostic nomogram. In addition, the signature might help clinicians in selecting high-risk subpopulation, predicting survival status of patients and promoting more individualized therapies than traditional clinical factors.

Radiotherapy is a leading treatment intervention for cancer and has been shown to improve the prognosis of patients with malignant tumors. However, there are several side effects associated with radiotherapy that require attention. The present case study describes the case of a patient who underwent breast-conserving surgery after receiving a diagnosis of right-sided breast cancer, following which they received conventional radiation therapy. A skin nodule was found on the right side of the breast 3 years later, which was pathologically confirmed to be a highly differentiated skin squamous cell carcinoma after surgical local excision. The patient presented with poor skin healing 2 months after the operation, and a myocutaneous flap of the descending branches of the thoracodorsal vessels was used to repair the defect and improve the breast shape. Although skin cancer induced by radiotherapy is relatively rare, physicians should remain cautious when treating skin injuries after radiotherapy, and recovery should be closely monitored. For patients with skin nodules after radiotherapy, a biopsy should be performed as early as possible to clarify the diagnosis and to develop appropriate treatment programs. For such skin cancer patients who have received radiotherapy in the past, it is necessary to consider the potential radiotherapy-related skin injuries they may have suffered after previous radiotherapy, the skin flap should be comprehensively evaluated before the operation and an appropriate surgical method should be selected to reduce the necessity of a second operation.

As one of the most important parts of the generator, Epoxy/mica insulation system has the direct effect on the reliability of generator operation. The accelerated aging of insulation system was taking place under the complex operation condition, and resulting in the insulation system breakdown. It had always been the target for the researchers to find an efficient way to evaluate the state of generator insulation system. According to the real operation situation, the multi-factor aging test sequence with electric field, temperature field, mechanical vibration and thermal cycling was developed, and the test platform with multi-factor aging was built in this research. The partial discharge test was conducted at the end of each cycle. The result showed that, with the insulation aging time prolonged, the maximum partial discharge quantity decreased first then increased while skewness and kurtosis varied the opposite way. And the phase range of partial discharge began to expand. This research provided a new way to evaluate the state of generator insulation system.