Search

Abstract Background Passive smoke has a significant impact on lung function and constitutes a critical public health issue, as smoking generates free radicals that damage the lungs and other tissues. Currently, limited research exists on whether the antioxidant melatonin can mitigate lung damage caused by smoking. This study aims to investigate the mechanisms through which melatonin alleviates acute lung disease induced by passive smoking. Methods Rats were divided into five groups (n = 6): a control group and three groups exposed to low, medium, and high concentrations of smoke, and a melatonin treatment group. Results Data indicated that in the high concentration passive smoking group, the alveolar structure of the lung tissue was destroyed, and the total antioxidant capacity in lung tissue diminished as the concentration of smoke increased. The expressions of TNF-α, IL-6, and IL-1β exhibited similar results. The anti-apoptotic factors Bcl-2 and Bcl-xL mRNA level significantly decreased in the high concentration smoking group, while no significant changes were observed in the medium and low concentration groups. Conversely, the high concentration passive smoking increased the pro-apoptotic factors Bax and Caspase-3 mRNA levels. Additionally, endogenous melatonin levels in lung tissue gradually decreased following exposure to smoke, whereas the exogenous melatonin alleviated the changes in inflammatory factors and apoptosis-related factors in lung tissue. Furthermore, at high smoking concentrations, the mRNA levels of lung cancer-related genes vascular endothelial growth factor (VEGF), cytochromeP450 1A1 (CYP1A1), and cytochrome P450 1B1 (CYP1B1 ) were significantly increased, while exogenous melatonin reduced the expression of these genes in lung tissue. Conclusions These findings suggest that melatonin can diminish lung tissue damage, apoptosis, and inflammatory responses induced by passive smoking, as well as decrease the expression of lung cancer-related genes. Further experimental investigations involving exogenous melatonin treatments will be needed.

Objectives: To develop computed tomography (CT)-based models to increase the prediction accuracy of spread through air spaces (STAS) in clinical-stage T1N0 lung adenocarcinoma. Methods: Three cohorts of patients with stage T1N0 lung adenocarcinoma (n = 1258) were analyzed retrospectively. Two models using radiomics and deep neural networks (DNNs) were established to predict the lung adenocarcinoma STAS status. For the radiomic models, features were extracted using PyRadiomics, and 10 features with nonzero coefficients were selected using least absolute shrinkage and selection operator regression to construct the models. For the DNN models, a 2-stage (supervised contrastive learning and fine-tuning) deep-learning model, MultiCL, was constructed using CT images and the STAS status as training data. The area under the curve (AUC) was used to verify the predictive ability of both model types for the STAS status. Results: Among the radiomic models, the linear discriminant analysis model exhibited the best performance, with AUC values of 0.8944 (95% confidence interval [CI], 0.8241-0.9502) and 0.7796 (95% CI, 0.7089-0.8448) for predicting the STAS status on the test and external validation cohorts, respectively. Among the DNN models, MultiCL exhibited the best performance, with AUC values of 0.8434 (95% CI, 0.7580-0.9154) for the test cohort and 0.7686 (95% CI, 0.6991-0.8316) for the external validation cohort. Conclusions: CT-based imaging models (radiomics and DNNs) can accurately identify the STAS status of clinical-stage T1N0 lung adenocarcinoma, potentially guiding surgical decision making and improving patient outcomes.

Objective: To investigate the effects and mechanisms of Xuebijing injection (XBJ) on Chimeric antigen receptor-T (CAR-T) cell function and its therapeutic potential against CAR-T therapy-associated cytokine storms (CRS). Methods: Anti-CD19 CAR-T cells were established based on FMC63 antibodies. Different doses of XBJ (1 and 10 mg/mL) were added to the culture system. Untreated anti-CD19 CAR-T cells served as negative controls. After 48-h co-culture, the effects of XBJ on CAR-T cell function were assessed. Carboxyfluorescein diacetate succinimidyl ester staining was used to assess the effect of XBJ on CAR-T cell proliferation. Flow cytometry, luciferase reporter gene assays, and real time cellular analysis were employed to evaluate the effects of XBJ on CAR-T cell cytotoxicity in vitro. RNA-sequencing was performed to analyze the effects of XBJ on CAR-T cell gene expression. Network pharmacology predicted potential XBJ therapeutic targets for CRS, which were verified in a THP-1 macrophage inflammation model. Results: XBJ enhanced both the proliferation and tumor killing capacities of CAR-T cells. Transcriptome analysis showed that XBJ treatment affects multiple genes and pathways in CAR-T cells, with differential gene enrichment in multiple cell proliferation and growth factor pathways. Potential targets for CRS control by XBJ were predicted using network pharmacology, and the inhibitory effect of XBJ on the expression of relevant genes was verified using a macrophage model. Conclusion: The results of this study indicate that XBJ can enhance the killing effect of CAR-T cells on tumor cells and that the mechanism is related to the regulation of T cell proliferation and activation. Moreover, XBJ inhibited excessive inflammation associated with CAR-T therapy. However, the current findings remain to be further validated through in vivo experiments.

Background and objective Small cell lung cancer (SCLC) is known as recalcitrant cancer with high malignancy and heterogeneity. Immunotherapy has changed the treatment pattern of extensive-disease SCLC (ED-SCLC), but the beneficiary population is limited. Therefore, exploring new therapeutic strategies is an urgent clinical problem to be solved for SCLC. SCLC is characterized by highly active glycolytic metabolism and pyruvate kinase M1 (PKM1) is one of the isozymes of PK, an important rate-limiting enzyme in glycolysis pathway. Previous studies have shown that PKM1 is related to autophagy and drug sensitivity, however, how PKM1 regulates drug sensitivity in SCLC and its mechanism remain unclear. The aim of this study was to investigate the biological functions of PKM1 in SCLC, including its effects on proliferation, migration, autophagy, drug sensitivity, and expression of neuroendocrine (NE)-related markers in SCLC. Methods Western blot was used to detect the expression level of PKM1 in SCLC cells. PKM1 gene-overexpressed SCLC cell lines were constructed by stable lentivirus transfection. Proliferation of cells and drug sensitivity were detected by MTT, and migration ability of cells was determined by Transwell. The level of autophagy was detected by flow cytometry. Western blot was used to determine the expression levels of NE-related proteins. Results PKM1 was differentially expressed among various SCLC cell lines, and was lower in H1092 cells (P

Abstract Background Neuroinflammation is a vital pathogenic mechanism for neurodegenerative diseases such as Alzheimer’s, schizophrenia, and age-related cognitive decline. Regulatory T cells (Tregs) exhibit potent anti-inflammatory properties and can modulate neurodegenerative diseases arising from central nervous system inflammatory responses. However, the role of Tregs in neuroinflammation-related cognitive dysfunction remains unclear. It is highly plausible that Htr7+ Tregs expressing unique genes associated with the nervous system, including the Htr7 gene encoding the serotonin receptor 5-HT7, play a pivotal role. Methods Mice were given a tryptophan-rich diet (with a tryptophan content of 0.6%) or a normal diet (with a tryptophan content of 0.16%). The neuroinflammation-mediated cognitive dysfunction model was established by intracerebroventricular injection of lipopolysaccharide (LPS) in 8-week-old C57BL/6J mice. The activation and infiltration of Tregs were measured using flow cytometry. Primary Tregs were cocultured separately with primary CD8+ T cells and primary microglia for in vitro validation of the impact of 5-HT and 5-HT7 receptor on Tregs. Prior to their transfer into recombination activating gene 1 (Rag1−/−) mice, Tregs were ex vivo transfected with lentivirus to knock down the expression of Htr7. Results In this study, the tryptophan-rich diet was found to reverse LPS-induced cognitive impairment and reduce the levels of 5-HT in peripheral blood. The tryptophan-rich diet led to increased levels of 5-HT in peripheral blood, which in turn promoted the proliferation and activation of Htr7+ Tregs. Additionally, the tryptophan-rich diet was also shown to attenuate LPS-mediated neuroinflammation by activating Htr7+ Tregs. Furthermore, 5-HT and 5-HT7 receptor were found to enhance the immunosuppressive effect of Tregs on CD8+ T cells and microglia. In Rag1−/− mice, Htr7+ Tregs were shown to alleviate LPS-induced neuroinflammation and cognitive impairment. Conclusions Our research revealed the ability of Htr7+ Tregs to mitigate neuroinflammation and prevent neuronal damage by suppressing the infiltration of CD8+ T cells into the brain and excessive activation of microglia, thereby ameliorating LPS-induced cognitive impairment. These insights may offer novel therapeutic targets involving Tregs for neuroinflammation and cognitive impairment.

The fibroblast growth factor receptor (FGFR) is a crucial receptor tyrosine kinase involved in essential biological processes, including growth, development, and tissue repair. However, FGFR gene mutations, including amplification, fusion, and mutation, can disrupt epigenetics, transcriptional regulation, and tumor microenvironment interactions, leading to cancer development. Targeting these kinase mutations with small molecule drugs or antibodies has shown clinical benefits. For example, erdafitinib is approved for treating locally advanced or metastatic urothelial cancer patients with FGFR2/FGFR3 mutations, and pemigatinib is approved for treating cholangiocarcinoma with FGFR2 fusion/rearrangement. Effective screening of FGFR variant patients is crucial for the clinical application of FGFR inhibitors. Various detection methods, such as polymerase chain reaction, next-generation sequencing, fluorescence in situ hybridization, and immunohistochemistry, are available, and their selection should be based on diagnostic and treatment decision-making needs. Our developed expert consensus aims to standardize the diagnosis and treatment process for FGFR gene mutations and facilitate the practical application of FGFR inhibitors in clinical practice.

Abstract Background The prognostic potential of immune-related genes, particularly immune checkpoint inhibitors (ICIs) and long non-coding RNAs (lncRNAs), is gaining attention for evaluating the prognosis of breast cancer patients. Methods We analyzed 23 datasets to identify 15 ICI-related mRNAs and 5 immune-related lncRNAs, creating a robust immune score (IS). This score was used to classify patients into high and low IS groups and assess their survival outcomes. Results Patients with high IS showed significantly poorer overall survival (OS) and progression-free survival (PFS) compared to those with low IS. Multivariate Cox regression analysis confirmed IS as an independent prognostic factor. Additionally, high IS was associated with higher mutation loads and neoantigen profiles, while low IS correlated with enhanced immune cell infiltration. Conclusions The immune score developed from ICI-related mRNAs and lncRNAs effectively predicts the prognosis of breast cancer patients and highlights the differential immune and inflammatory responses between patients with varying levels of immune score. This underscores the relevance of IS in guiding therapeutic decisions and tailoring patient management strategies in clinical settings.

Abstract Background Idiopathic pulmonary fibrosis (IPF) is a respiratory disorder of obscure etiology and limited treatment options, possibly linked to dysregulation in lipid metabolism. While several observational studies suggest that lipid-lowering agents may decrease the risk of IPF, the evidence is inconsistent. The present Mendelian randomization (MR) study aims to determine the association between circulating lipid traits and IPF and to assess the potential influence of lipid-modifying medications for IPF. Methods Summary statistics of 5 lipid traits (high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglyceride, apolipoprotein A, and apolipoprotein B) and IPF were sourced from the UK Biobank and FinnGen Project Round 10. The study’s focus on lipid-regulatory genes encompassed PCSK9, NPC1L1, ABCG5, ABCG8, HMGCR, APOB, LDLR, CETP, ANGPTL3, APOC3, LPL, and PPARA. The primary effect estimates were determined using the inverse-variance-weighted method, with additional analyses employing the contamination mixture method, robust adjusted profile score, the weighted median, weighted mode methods, and MR-Egger. Summary-data-based Mendelian randomization (SMR) was used to confirm significant lipid-modifying drug targets, leveraging data on expressed quantitative trait loci in relevant tissues. Sensitivity analyses included assessments of heterogeneity, horizontal pleiotropy, and leave-one-out methods. Results There was no significant effect of blood lipid traits on IPF risk (all P＞0.05). Drug-target MR analysis indicated that genetic mimicry for inhibitor of NPC1L1, PCSK9, ABCG5, ABCG8, and APOC3 were associated with increased IPF risks, with odds ratios (ORs) and 95% confidence intervals (CIs) as follows: 2.74 (1.05–7.12, P = 0.039), 1.36 (1.02–1.82, P = 0.037), 1.66 (1.12–2.45, P = 0.011), 1.68 (1.14–2.48, P = 0.009), and 1.42 (1.20–1.67, P = 3.17×10-5), respectively. The SMR method identified a significant association between PCSK9 gene expression in whole blood and reduced IPF risk (OR = 0.71, 95% CI: 0.50–0.99, P = 0.043). Sensitivity analyses showed no evidence of bias. Conclusions Serum lipid traits did not significantly affect the risk of idiopathic pulmonary fibrosis. Drug targets MR studies examining 12 lipid-modifying drugs indicated that PCSK9 inhibitors could dramatically increase IPF risk, a mechanism that may differ from their lipid-lowering actions and thus warrants further investigation.

Abstract The characteristics and heterogeneity of coal pores are crucial for understanding the production mechanism of coalbed methane (CBM). In this study, coal samples with varying degrees of metamorphism (0.58% ≤ R O, max ≤ 3.44%) were collected. The characteristics of pore development and the heterogeneous properties of pores were revealed through low-temperature nitrogen adsorption (LTNA) and low-field nuclear magnetic resonance (NMR) experiments. The results indicate that pores with varying diameters exhibit favorable development in low-rank coals, along with favorable pores connectivity. The micropores composition of middle-rank coals was found to be 73.56%, however, the connectivity among transitional, meso, and macropores was observed to be poor. In high-rank coals, the proportion of micropores was 92.74%, with numerous micropores being closed or semi-closed. This resulted in inferior connectivity between micropores and transitional pores. As coal metamorphism progressed, the D L1 (characterizing the roughness of adsorption pores (AP) surface, ranging from 2.13 to 2.45) and D L2 (characterizing the complexity of AP structure, ranging from 2.56 to 2.77) initially decreased and then increased, whereas the D N (characterizing the heterogeneity of seepage pores (SP), ranging from 2.92 to 2.95) consistently improved. Furthermore, the roughness of pore surface and the complexity of pore structure in AP increased as the specific surface area and volume of pores increased. On the contrary, as the SP content increased, the uniformity of the pore structure improved. When the volume of SP remained constant, the complexity of the pore structure decreased due to increased pore connectivity.

IntroductionAkabane virus (AKAV) is a worldwide epidemic arbovirus belonging to the Bunyavirales order that predominantly infects livestock and causes severe congenital malformations. Reporter-expressing recombinant virus represents a powerful tool to characterize the viral biology in vitro and in vivo.MethodsIn this study, we have successfully established a reverse genetics system for AKAV. The recued virus possessed similar growth characteristics to the parental virus in vitro. Moreover, the recombinant AKAV reporter viruses expressing nanoluciferase (Nluc) or mWasabi were constructed by inserting into S segment, named rAKAV-Nluc and rAKAV-mWasabi, respectively.ResultsWe investigated the virological characteristics of rAKAV-Nluc and rAKAV-mWasabi and found that rAKAV-Nluc displayed similar growth kinetics as the parental virus and could stably produce the nano-luciferase even after 10 rounds of serial passages. rAKAV-mWasabi also exhibited comparable growth kinetics and genetic stability as the parental virus. We further used the two reporter viruses to test the susceptibility of different cell lines to AKAV and found that cell lines derived from various host species, including human, swine, cattle, and monkey enables AKAV replication efficiently, accelerating our understanding of the AKAV cell tropism range.DiscussionTaken together, our established reverse genetics system for AKAV provides more convenient screening tools and can be used to study AKAV virulence and tropism, and to elucidate the molecular biology of AKAV.

IntroductionThe occurrence of pachyonychia congenita (PC) and acne inversa (AI) may be related to gene mutations. The aim of this study is to identify the genetic cause in a patient with PC and AI, and to explore the possible molecular mechanism of their co-occurrence.MethodsThe clinical data of the proband were collected, and the genomic DNA of the proband and unaffected parents were extracted. The variant sites of the proband were identified by whole-exome sequencing, and then the variant sites of the proband and his parents were verified by Sanger sequencing.ResultsA heterozygous variant in KRT17 gene was found in the patient, resulting in a missense amino acid variant (p.N92D). The variant was not found in his parents or 100 unrelated healthy controls. In addition, this variant was not found in the gnomad v4 database. The three-dimensional structure analysis of the protein suggested that the polarity of amino acids changed after the variant. After lentiviral plasmid transfection into HaCaT cells, the expression level of NOTCH signaling decreased in the constructed c.274A>G (p.Asn92Asp) of KRT-17 mutant cells compared to that in the wild-type. Subsequent verification confirmed that differences in the expression levels of p-PI3K, AKT and p-AKT between the groups were not statistically significant.DiscussionAlthough this variant has been reported previously, our findings could expand the spectrum of co-occurrence of PC and AI with KRT17 gene variants, and elucidated the possible pathogenesis at the protein level, thereby laying a foundation for the genetic diagnosis and genetic counseling provided to individuals with PC.

To investigate the functioning mechanism of cruise altitude on transportation and discharging dynamics of onboard fire-extinguishants, a numerical model coupling the vaporization and flowing process is established for the Halon 1301-N2 multi-component two-phase flow inside the onboard fire-extinguishing system based on computational fluid dynamics. Flowing and transportation parameters are simulated and compared for Halon 1301 at 0 m, 3000 m, 6000 m and 12000 m. Moreover, the peak discharging fluid pressure, velocity and density are also analyzed to evaluate the impact of altitude on discharging dynamics of Halon 1301. Notably, the maximum discharging velocity at 3000 m, 6000 m and 12000 m are reduced by 4 %, 9 % and 15 % relative to that at 0 m; the maximum discharging fluid pressure and density at 12000 m are respectively reduced by 32 % and 12 % relative to those at 0 m. High altitude is unraveled to inhibit the vaporization of Halon 1301 and lower the discharging efficiency at the pipeline outlet, consequently lowering the diffusion efficiency and effective concentration of Halon 1301 in the protected area and further weakening the fire-suppression effectiveness. The unveiled insights afford guidance for the optimization of fire-extinguishing systems to improve the fire-fighting capability of airplanes at high altitudes.

Renal calculi weighing over 200 g are relative rare in modern urological practice since most stones might cause renal dysfunction before reaching such size. We here reported an extremely rare case of giant stones in single kidney of a 72-year-old Chinese male patient who had 30 years long-term history of lithiasis in the right kidney. These huge kidney stones, total weight 832.6 g were successfully removed with multiple sessions of surgery. Kidney function was relatively stable after long-term medical care in primary care centers. Timely treatment of kidney stones early should arouse more attention worldwide.

Research examining students’ socioeconomic outcomes after attaining a bachelor’s degree tends to use single measures such as income or occupation (Thomas & Zhang, 2005; Torche, 2015). Yet, socioeconomic status is more complex than single measures. To capture that complexity, this study draws data from the National Center for Education Statistics Baccalaureate and Beyond Longitudinal Study (B&B:08/12) to examine a multidimensional measure of socioeconomic status one and four years after graduation with a bachelor’s degree. The findings suggest that college graduates are not guaranteed benefits or low levels of time unemployed. The differences found across groups and time points highlight the importance of considering both monetary and non-monetary aspects of socioeconomic status related to higher education attendance and student success. This study contributes to exploring multidimensional measures to advance the understanding of students’ postgraduation outcomes and the continued impact of higher education on students’ outcomes beyond completion.

High levels of branched-chain amino acid (BCAA) transaminase 1 (BCAT1) have been associated with tumor aggressiveness and drug resistance in several cancer types. Nevertheless, the mechanistic role of BCAT1 in T-cell acute lymphoblastic leukemia (T-ALL) remains uncertain. We provide evidence that Bcat1 was over-expressed following NOTCH1-induced transformation of leukemic progenitors and that NOTCH1 directly controlled BCAT1 expression by binding to a BCAT1 promoter. Further, using a NOTCH1 gain-of-function retroviral model of T-ALL, mouse cells genetically deficient for Bcat1 showed defects in developing leukemia. In murine T-ALL cells, Bcat1 depletion or inhibition redirected leucine metabolism towards production of 3-hydroxy butyrate (3-HB), an endogenous histone deacetylase inhibitor. Consistently, BCAT1 depleted cells showed altered protein acetylation levels which correlated with a pronounced sensitivity to DNA damaging agents. In human NOTCH1-dependent leukemias, high expression levels of BCAT1 may predispose to worse prognosis. Therapeutically, BCAT1 inhibition specifically synergized with etoposide to eliminate tumors in patient-derived xenograft models suggesting that BCAT1 inhibitors may have a part to play in salvage protocols for refractory T-ALL.

ObjectiveFibroblast growth factor 21 (FGF21) is a secreted protein that regulates body metabolism. In recent years, many observational studies have found that FGF21 is closely related to bone mineral density and osteoporosis, but the causal relationship between them is still unclear. Therefore, this study used two-sample, mediated Mendelian randomization (MR) analysis to explore the causal relationship between FGF21 and osteoporosis and bone mineral density.MethodsWe conducted a two-sample, mediator MR Analysis using genetic data from publicly available genome-wide association studies (GWAS) that included genetic variants in the inflammatory cytokine FGF21, and Total body bone mineral density, Heel bone mineral density, Forearm bone mineral density, Femoral neck bone mineral density, osteoporosis. The main analysis method used was inverse variance weighting (IVW) to investigate the causal relationship between exposure and outcome. In addition, weighted median, simple median method, weighted median method and MR-Egger regression were used to supplement the explanation, and sensitivity analysis was performed to evaluate the reliability of the results.ResultsMR Results showed that FGF21 overexpression reduced bone mineral density: Total body bone mineral density (OR=0.920, 95%CI: 0.876-0.966), P=0.001), Heel bone mineral density (OR=0.971, 95%CI (0.949-0.993); P=0.01), Forearm bone mineral density (OR=0.882, 95%CI(0.799-0.973); P=0.012), Femoral neck bone mineral density (OR=0.952, 95%CI(0.908-0.998), P=0.039); In addition, it also increased the risk of osteoporosis (OR=1.003, 95%CI (1.001-1.005), P=0.004). Sensitivity analysis supported the reliability of these results. The effect of FGF21 overexpression on osteoporosis may be mediated by type 2 diabetes mellitus and basal metabolic rate, with mediating effects of 14.96% and 12.21%, respectively.ConclusionsOur study suggests that the overexpression of FGF21 may lead to a decrease in bone mineral density and increase the risk of osteoporosis, and the effect of FGF21 on osteoporosis may be mediated through type 2 diabetes and basal metabolic rate. This study can provide a reference for analyzing the potential mechanism of osteoporosis and is of great significance for the prevention and treatment of osteoporosis.

Abstract Background Acinetobacter lwoffii (A.lwoffii) is a serious zoonotic pathogen that has been identified as a cause of infections such as meningitis, bacteremia and pneumonia. In recent years, the infection rate and detection rate of A.lwoffii is increasing, especially in the breeding industry. Due to the presence of biofilms, it is difficult to eradicate and has become a potential super drug-resistant bacteria. Therefore, eradication of preformed biofilm is an alternative therapeutic action to control A.lwoffii infection. The present study aimed to clarify that baicalin could eradicate A.lwoffii biofilm in dairy cows, and to explore the mechanism of baicalin eradicating A.lwoffii. Results The results showed that compared to the control group, the 4 MIC of baicalin significantly eradicated the preformed biofilm, and the effect was stable at this concentration, the number of viable bacteria in the biofilm was decreased by 0.67 Log10CFU/mL. The total fluorescence intensity of biofilm bacteria decreased significantly, with a reduction rate of 67.0%. There were 833 differentially expressed genes (367 up-regulated and 466 down-regulated), whose functions mainly focused on oxidative phosphorylation, biofilm regulation system and trehalose synthesis. Molecular docking analysis predicted 11 groups of target proteins that were well combined with baicalin, and the content of trehalose decreased significantly after the biofilm of A.lwoffii was treated with baicalin. Conclusions The present study evaluated the antibiofilm potential of baicalin against A.lwoffii. Baicalin revealed strong antibiofilm potential against A.lwoffii. Baicalin induced biofilm eradication may be related to oxidative phosphorylation and TCSs. Moreover, the decrease of trehalose content may be related to biofilm eradication.

Highlights Evaporation and solution two-step hybrid process are used to fabricate conformal growth of perovskite film on textured silicon substrates. F-PMAI additive enlarged the perovskite grains, induced the (111) preferred orientation and passivated interface defects. We obtained a champion efficiency of 30.05% for a monolithic perovskite/silicon tandem solar cell based on a silicon thin film tunneling junction.

ObjectiveTo analyze the family food environment of students in key monitoring counties of the Nutrition Improvement Program for Rural Compulsory Education Students in Henan province in 2021, to provide data support for further strengthening nutrition education. MethodsThe study participants were 5 682 students from 20 primary schools and 20 secondary schools selected by stratified random cluster sampling in five key monitoring counties of the Nutrition Improvement Program for Rural Compulsory Education Students in Henan province. Students were measured for height and weight in 2021, and their parents were anonymously surveyed on-site using a questionnaire developed by researchers at the Chinese Center for Disease Control and Prevention on knowledge and behaviors related to child nutrition and health. ResultsAmong the parents of 5 673 students with valid data, the awareness rate of child nutrition and health knowledge was 68.94% and the prevalence rate of behaviors related to child nutrition and health was 26.65%. The detection rate of overweight and obesity among students was 27.38%. There were 55.37% of parents who reported accurate perception on their children's body size, but 41.62% of parents underestimated their children's body size, and parents' biased perception on children's body size was not related to their knowledge and practices related to child nutrition and health. The agreement between parents' perception of children's body type and the measurement based body size assessment was poor (Kappa = 0.203, P < 0.001). Conclusion In the key monitoring counties of the Nutrition Improvement Program for Rural Compulsory Education Students in Henan province, the awareness rate of child nutrition and health knowledge among parents of primary and secondary school students is relatively high, but the prevalence of child nutrition and health behaviors and accurate perception of their children's body size are low, indicating a gap between knowledge and practice. Parents of students generally underestimate their children's body size, which is not conducive to controlling overweight and obesity among students.

Constructing the magnesium alloy with fine grains, low density of dislocations, and weak crystal orientation is of crucial importance to enhance its comprehensive performance as the anode for Mg-air battery. However, this unique microstructure can hardly be achieved with conventional plastic deformation such as rolling or extrusion. Herein, we tailor the microstructure of Mg-Al-Sn-RE alloy by using the friction stir processing, which obviously refines the grains without increasing dislocation density or strengthening crystal orientation. The Mg-air battery with the processed Mg-Al-Sn-RE alloy as the anode exhibits higher discharge voltages and capacities than that employing the untreated anode. Furthermore, the impact of friction stir processing on the electrochemical discharge behaviour of Mg-Al-Sn-RE anode and the corresponding mechanism are also analysed according to microstructure characterization and electrochemical response.

This paper collected the data of death and loss of contact in Luding MS6.8 earthquake, quantitatively analyzed the characteristics of the number of deaths and loss of contacts over time, and compared with typical destructive earthquakes in recent 10 years. Combing the actual emergency rescue work, this paper sort out and summarized the main reasons, systematically analyzed the impact of geological disasters on personnel mortality and loss of connection rate, discussed the characteristics of earthquake disasters and disaster relief in mountainous areas. At the same time, we propose suggestions for the verification and submission capabilities of earthquake disaster information and the improvement of personnel search and rescue capabilities in complex mountainous environments.

Abstract Sarcopenia and anemia are common complications in patients with Crohn’s Disease (CD). However, few studies have shown the association between sarcopenia and hemoglobin levels in CD patients. This retrospective study aimed to explore such association in Chinese patients with CD. Two hundred and twelve adult CD inpatients who underwent computed tomography (CT) or magnetic resonance imaging (MRI) examinations from July 2019 to December 2021 were included in the study. Sarcopenia was defined according to the cutoff value of skeletal muscle index of lumbar spine 3 (SMI-L3) (

In this study, an enzyme-linked immunosorbent assay (ELISA) was established to detect beef and lamb components, and its performance was tested. Double-antibody sandwich ELISA was adopted and determined a coating concentration of capture antibody 3G5 of 1:4 000, a working concentration of enzyme-labeled antibody 2E7-horseradish peroxidase (HRP) of 1:1 000, a sample incubation time of 60 min and a detection antibody reaction time of 60 min. The specificity, sensitivity, repeatability and stability of this assay were determined. The limit of detection for beef and lamb skeletal muscle troponin I was 45 mg/kg, the inter-assay and intra-assay recovery rates ranged from 80.4% to 115.7%, the coefficients of variation were below 13.6%, and the cross reaction rates of the tissue components of chicken, duck and fish were below 13.4%. The sandwich ELISA method established in this study is stable and has high accuracy. The test results were consistent with the polymerase chain reaction (PCR) method at 50 and 100 g/kg. Therefore, this ELISA method can be used to quantitatively detect beef and lamb components in meat products.

Metal halide perovskite has generated significant attention due to its high optical absorption coefficient, the tunability of bandgap, and its solution processing properties, all of which have led to a range of applications including solar cells, photodetectors, light-emitting diodes and lasers. However, the material's application as an optical modulator for high-energy ultrafast lasers is still limited by its slow nonlinear optical response, low damage threshold and the inferior stability. Herein, we developed a saturable absorber (SA) with the thermally stable Cs0.15FA0.85PbI2.85Br0.15 perovskite thin films as an optical modulator towards the near-infrared nanosecond passively Q-switched Nd:YAG laser generation for the first time. The Cs0.15FA0.85PbI2.85Br0.15 perovskite SA optical modulator produced an exceptional nonlinear optical response with a notable modulation depth of 15.1%, an ultrashort recovery time of 52.46 ps, and a high optical damage threshold exceeding 275.9 mJ/cm2. Of further significance, it displayed an excellent operational stability, and when incorporated into the oscillator of the Nd:YAG laser, allowed for a stable operation of 166 ns pulse laser with a center wavelength of 1.06 μm. The findings provide a pathway for the employment of the Cs0.15FA0.85PbI2.85Br0.15 perovskite SA optical modulator in near-infrared ultrafast laser applications.

Background: There is a strong causal relationship between intimate partner violence and major depressive disorder, which partly endangers women's safety across the life course and potentially affects the development of future generations. The international community has placed a high priority on addressing the intimate partner violence and the resulting burden of mental illness. Data collection needs to be captured across the temporal trend and spatial distribution for major depressive disorder attributed to intimate partner violence, to reflect the priorities and expectations of survivors.Method: This research obtained raw disability-adjusted life years (DALYs) information for major depressive disorder attributed to intimate partner violence from the Global Burden of Disease 2019. Using estimated annual percentage change and two-way fixed effects models, a secondary spatio-temporal analysis of the age-standardized DALYs rate from 1990 to 2019 was performed.Results: In 2019, DALYs lost among women experiencing major depressive disorder (3.16 million) accounted for 37.18% of the DALYs lost worldwide due to intimate partner violence. The age-standardized DALYs rate of major depressive disorder attributed to intimate partner violence was 108.57 per 100,000. The highest was concentrated in the menopausal transition (45-55), with 133.61 per 100,000, and particularly distributed in Uganda (429.31 per 100,000). The early reproductive period (15–19) showed the increasing age-standardized DALYs rate from 1990 to 2019, which was mainly driven by Malaysia (3.73% per year). Furthermore, countries with higher initial levels of the age-standardized DALYs rate were growing faster than those with lower levels.Conclusions: The burden of major depressive disorder attributed to intimate partner violence showed biological and spatial inequality, prioritized intervention should be targeted at vulnerable stage women in their early reproductive period and menopausal transition. Combined political, socio-cultural as well as medical measures to prevent violence and treat major depressive disorder should be implemented and developed.

Advances in foodomics have demonstrated the feasibility of detecting specific molecules, known as ‘foodomes’, that can serve as biomarkers in fresh meat and dairy products to identify the origin of feeding foods. Identifying these biomarkers is crucial to establish traceability, as consumers demand products of guaranteed quality. In this work, after conducting an exhaustive review of the most relevant scientific documents from the last twenty years, we present a collection of as many as 76 and 66 lipidomes, 42 and 14 metabolomes, 53 and 61 volatile compounds and 8 and 4 isotope ratios (from fresh meat and dairy products, respectively) as potential biomarkers to determine feeding regime in farm ruminants (e.g. fresh herbage, conserved forage or concentrate). CLA9cis-11trans, stearoyl-CoA desaturase, toluene, skatole, and δ13C and δ15N have been widely cited in scientific research to determine the feeding system in ruminants. A combination of these biomarkers with mathematical techniques (discriminant analysis and machine learning) could be used to determine origin and quality in meat and dairy products from ruminants.

Chloroprocaine and lidocaine bicarbonate are commonly used for epidural anesthesia because of their rapid onset, particularly in the case of conversion from epidural labor analgesia to emergency cesarean section. However, it is unclear whether lidocaine bicarbonate combined with fentanyl has an advantage over chloroprocaine alone in emergency cesarean section. In this study, 102 women who underwent elective cesarean section received 15 mL 3% chloroprocaine and 1 mL saline (CP group) or 15 mL 1.73% lidocaine bicarbonate and 1 mL fentanyl 50 μg (LF group) for epidural anesthesia. Nociceptive block level was assessed by pinprick and recorded every minute. The primary outcome was the onset time to T6 block. The median onset time to T6 analgesia was 10 [10, 10] min in the CP group and 10 [7, 10] min in the LF group (COX model for CP versus LF, HR 0.47, 95% CI 0.23–0.95, p = 0.035). The median onset time to T8 analgesia was 7 [5, 9] min in CP group and 5 [4, 7] min in LF group (COX model for CP versus LF, HR 0.61, 95% CI 0.39–0.95, p = 0.027). The proportion of hypotension episodes occurring before delivery in LF group was lower than that in CP group (p = 0.011). The incidence of block level ≥ T4 after supplemental dosing in the LF group was lower than that in the CP group (p = 0.031). Compared with 3% chloroprocaine, 1.73% lidocaine bicarbonate combined with fentanyl 50 μg has a slightly faster onset time and less hypotension in epidural anesthesia for cesarean section.Clinical Trial Registration:http://www.chictr.org.cn/index.html, identifier ChiCTR2200056180.

Dairy mastitis is one of the most common diseases in dairy farming, and the formation of pathogenic bacteria biofilms may be an important reason why traditional antibiotic therapy fails to resolve some cases of dairy mastitis. We isolated and identified three strains of A. lwoffii were with strong biofilm forming ability from dairy cow mastitis samples from Chongqing dairy farms in China. In order to investigate the effect of novel anti-biofilm peptide CRAMP-34 on A.lwoffii biofilms, the anti-biofilm effect was evaluated by crystal violet staining, biofilms viable bacteria counting and confocal laser scanning microscopy (CLSM). In addition, transcriptome sequencing analysis, qRT-PCR and phenotypic verification were used to explore the mechanism of its action. The results showed that CRAMP-34 had a dose-dependent eradicating effect on A. lwoffii biofilms. Transcriptome sequencing analysis showed that 36 differentially expressed genes (11 up-regulated and 25 down-regulated) were detected after the intervention with the sub-inhibitory concentration of CRAMP-34. These differentially expressed genes may be related to enzyme synthesis, fimbriae, iron uptake system, capsular polysaccharide and other virulence factors through the functional analysis of differential genes. The results of subsequent bacterial motility and adhesion tests showed that the motility of A.lwoffii were enhanced after the intervention of CRAMP-34, but there was no significant change in adhesion. It was speculated that CRAMP-34 may promote the dispersion of biofilm bacteria by enhancing the motility of biofilm bacteria, thereby achieving the effect of eradicating biofilms. Therefore, these results, along with our other previous findings, suggest that CRAMP-34 holds promise as a new biofilm eradicator and deserves further research and development.

Axon projection is a spatial- and temporal-specific process in which the growth cone receives environmental signals guiding axons to their final destination. However, the mechanisms underlying changes in axonal projection direction without well-defined landmarks remain elusive. Here, we present evidence showcasing the dynamic nature of axonal projections in Drosophila’s small ventral lateral clock neurons (s-LNvs). Our findings reveal that these axons undergo an initial vertical projection in the early larval stage, followed by a subsequent transition to a horizontal projection in the early-to-mid third instar larvae. The vertical projection of s-LNv axons correlates with mushroom body calyx expansion, while the s-LNv-expressed Down syndrome cell adhesion molecule (Dscam1) interacts with Netrins to regulate the horizontal projection. During a specific temporal window, locally newborn dorsal clock neurons secrete Netrins, facilitating the transition of axonal projection direction in s-LNvs. Our study establishes a compelling in vivo model to probe the mechanisms of axonal projection direction switching in the absence of clear landmarks. These findings underscore the significance of dynamic local microenvironments in the complementary regulation of axonal projection direction transitions.

To evaluate the effects of inactivated Lactobacillus plantarum (LPM) on carnivorous fish, juvenile largemouth bass [initial body mass: (5.62±0.13) g] were fed five isonitrogenous and isoenergetic diets containing 0 (M0), 200 (M1), 400 (M2), 600 (M3), and 800 (M4) mg/kg LPM for 8 weeks. The results showed that in terms of growth, weight gain rate (WGR) and specific growth rate (SGR) showed significant second-order polynomial trend with increasing LPM supplementation. WGR and SGR of the M3 group were significantly increased by 14.18% and 5.62%, respectively, compared with the M0 group. Significant linear and second order polynomial trends were observed for feed conversion ratio (FCR), protein efficiency ratio (PER) and protein deposition rate (PDR) with the increase in dietary LPM. FCR was significantly reduced by 8.9% in the M2 group compared to the M0 group. In terms of intestinal health, intestinal amylase, intestinal villi number, length and width showed significant second order polynomial trends with increasing LPM supplementation. Significant linear and second order polynomial trends were observed for intestinal lipase activity, liver crude fat content with increasing dietary LPM. Dietary LPM supplementation of 600 mg/kg significantly increased the abundance of beneficial bacteria. In terms of antioxidant capacity, with the increase of LPM supplemental level, superoxide dismutase activity, malondialdehyde content of serum and liver, and liver Cu/Zn-SOD, Keap-1 and TGF-β1 mRNA expression levels showed significant linear and second-order polynomial trend, and Nrf2 mRNA expression level showed a significant second-order polynomial trend. Overall, the appropriate level of LPM (400–600 mg/kg) promoted the growth performance and feed utilization of largemouth bass by increasing the abundance of intestinal bacteria, improving the activities of digestive enzymes and antioxidant enzymes, and up-regulating the mRNA expressions of genes related to antioxidants.

BackgroundThe effect of oxycodone as an opioid receptor agonist on immune function is still controversial. In this study, we investigated the possible effects of oxycodone on immune function in mice and its possible mechanisms of action.MethodsBy repeated intraperitoneal injections of 25 mg/kg morphine and 5 mg/kg, 20 mg/kg, and 60 mg/kg oxycodone, we assessed possible changes in the number of splenic lymphocytes and inflammatory cytokines in the serum of mice. CD4+ T cells and CD8+ T cells were sorted from the spleen to observe whether the expression levels of opioid receptors and downstream signals were altered.ResultsRepeated administration of oxycodone at a dose above 20 mg/kg resulted in significant weight loss. Repeated administration of oxycodone exhibits significant dose-dependent reduction in CD4+ T cells, with little effect on CD8+ T cells and little effect on inflammatory cytokine levels. Low- and intermediate-dose oxycodone increased the mRNA expression level of MOR, KOR, and DOR to varying degrees. Moreover, oxycodone increases the mRNA expression levels of the TLR4 signaling pathway to varying degrees.ConclusionRepeated intraperitoneal injection of oxycodone induces immunosuppression in mice.

Abstract Chronic inflammation contributes to various chronic diseases in humans. Currently used anti‐inflammatory drugs have several limitations and are not suitable for long‐term use. Anti‐inflammatory foods or extracts can prevent inflammation‐related diseases, offering a promising approach for the management of these pathologies. In vitro anti‐inflammatory experiments have the advantages of short experimental period and low cost for screening anti‐inflammatory foods or drugs. They measure pro‐inflammatory enzyme activity such as lipoxygenase (LOX) and cyclooxygenase (COX), and the production of pro‐inflammatory cytokines such as tumor necrosis factor (TNF) and interleukins (IL). This article reviews in vitro assays used to evaluate the anti‐inflammatory effect, examining the effects of different inflammatory factors and the employed methods, and analyzing their principles, advantages, and disadvantages. Thus, it aims to provide guidelines for screening natural foods with anti‐inflammatory potential.

ObjectivesIn the context of global carbon reduction, in order to meet the environmental require-ments of the design and construction of polar ships, this paper studies the impact of brash ice on the optimal design of polar expedition cruise ships when navigating across oceans and designs the most optimal energy-saving hull lines. MethodsIn view of the transoceanic characteristics of polar expedition cruise ships, the navigation region-based weighting method is used to quantify the evaluation and analyze the impact of brash ice on resistance and propulsion efficiency. An analysis is carried out of the performance of the propeller in broken ice channel through the coupling calculation of the computational fluid dynamics-discrete element method (CFD-DEM), an optimization model with the goal of combined self-propulsion power is established, and optimization calculations are performed for the parametric model of the whole ship at the designed speed.ResultsThe calculation results show that the optimized ship hull meets the requirements of displacement and effectively reduces navigation power in open water and broken ice channel with a combined self-propulsion power reduction of 9.71%.ConclusionsThe results of this study verify the feasibility and rationality of optimization based on the weighting method, and can provide references for the optimization design of hull form and thrusters of polar expedition cruise ships.

Diabetic nephropathy (DN) is a major complication of diabetes. Interleukin-1 receptor-associated kinase 2 (IRAK2) has been implicated in various diseases. This study aimed to investigate the role of IRAK2 in DN progression and its association with inflammation and the nuclear factor-kappa B (NF-κB) signaling pathway. DN model mice were generated by intraperitoneal injection of streptozotocin. IRAK2 expression was upregulated in the DN model mice. IRAK2 knockdown increased weight and reduced blood glucose levels in DN model mice. In addition, IRAK2 downregulation improved glomerular morphology in DN mice. IRAK2 knockdown reduced the levels of kidney damage biomarkers (24-h urinary protein, urine albumin-creatinine ratio, and plasma creatinine) and inflammatory cytokines (IL-6, tumor necrosis factor [TNF]-α, TNF-1R, and TNF-2R). Moreover, IRAK2 activated the NF-κB signaling pathway in DN model mice. Overexpression of NF-κB exacerbated DN progression, and IRAK2 knockdown reversed these effects. IRAK2 promoted DN progression and inflammation by activating the NF-κB signaling pathway. These findings suggest that IRAK2 is a potential therapeutic target for DN treatment.

As urbanization progresses in China, community renewal becomes a crucial way to achieve sustainable urban development. However, as the focus of community regeneration, the public’s passive participation and lack of awareness of participation are the biggest obstacles to the community regeneration process. Empowerment (EP) stimulates the internal drive of the public in the community by empowering the subject with power, capacity, and energy. In view of this, the objective of this study is to reveal effective ways to enhance public participation awareness (PPA) in community renewal through empowerment. Through empirical analysis of the collected 300 valid questionnaires, the results show that: empowerment, community identity (CI), and trust relationship (TR) have a positive impact on PPA in community renewal, while CI and TR play a mediating role in the process. The results of the study provide new ideas to enhance public participation awareness in community renewal projects and provide certain decision-making advice to promote urban co-construction and sharing.

Abstract Minimally invasive testing is essential for early cancer detection, impacting patient survival rates significantly. Our study aimed to establish a pioneering cell-free immune-related miRNAs (cf-IRmiRNAs) signature for early cancer detection. We analyzed circulating miRNA profiles from 15,832 participants, including individuals with 13 types of cancer and control. The data was randomly divided into training, validation, and test sets (7:2:1), with an additional external test set of 684 participants. In the discovery phase, we identified 100 differentially expressed cf-IRmiRNAs between the malignant and non-malignant, retaining 39 using the least absolute shrinkage and selection operator (LASSO) method. Five machine learning algorithms were adopted to construct cf-IRmiRNAs signature, and the diagnostic classifies based on XGBoost algorithm showed the excellent performance for cancer detection in the validation set (AUC: 0.984, CI: 0.980–0.989), determined through 5-fold cross-validation and grid search. Further evaluation in the test and external test sets confirmed the reliability and efficacy of the classifier (AUC: 0.980 to 1.000). The classifier successfully detected early-stage cancers, particularly lung, prostate, and gastric cancers. It also distinguished between benign and malignant tumors. This study represents the largest and most comprehensive pan-cancer analysis on cf-IRmiRNAs, offering a promising non-invasive diagnostic biomarker for early cancer detection and potential impact on clinical practice.

Abstract Background Identifying risk factors for adverse pathologic features in low-risk papillary thyroid microcarcinoma (PTMC) can provide valuable insights into the necessity of surgical or non-surgical treatment. This study aims to develop a nomogram for predicting the probability of adverse pathologic features in low-risk PTMC patients. Methods A total of 662 patients with low-risk PTMC who underwent thyroid surgery were retrospectively analyzed in Qilu Hospital of Shandong University from May 2019 to December 2021. Logistic regression analysis was used to determine the risk factors for adverse pathologic features, and a nomogram was constructed based on these factors. Results Most PTMC patients with these adverse pathologic features had tumor diameters greater than 0.6 cm (p 0.05 each). The nomogram was drawn to provide a quantitative and convenient tool for predicting the risk of adverse pathologic features based on age, gender, family history of thyroid cancer, autoimmune thyroiditis, tumor size, and BRAF V600E mutation in low-risk PTMC patients. The areas under curves (AUC) were 0.645 (95% CI 0.580–0.702). Additionally, decision curve analysis (DCA) and calibration curves were used to evaluate the clinical benefits of this nomogram, presenting a high net benefit. Conclusion Tumor size > 0.60 cm was identified as an independent risk factor for adverse pathologic features in low-risk PTMC patients. The nomogram had a high predictive value and consistency based on these factors.

Abstract Background Numerous previous research have established the need for spiritual care among patients with cancer globally. Nevertheless, there was limited research, primarily qualitative, on the spiritual care needs of Chinese inpatients with advanced breast cancer. Furthermore, the need for spiritual care was rarely explored using the Kano model. To better understand the spiritual care needs and attributes characteristics of inpatients with advanced breast cancer, this study examined the Kano model. Methods A descriptive cross-sectional design study was conducted in the oncology departments of three tertiary grade-A hospitals in China from October 2022 to May 2023. To guarantee high-quality reporting of the study, the Strengthening the Reporting of Observational Studies in Epidemiology Checklist was used. Data on the demographic characteristics questionnaire, the Nurse Spiritual Therapeutics Scale (NSTS), and the Kano model-based Nurse Spiritual Therapeutics Attributes Scale (K-NSTAs) were collected through convenience sampling. The Kano model, descriptive statistics, two independent samples t-tests, and one-way analysis of variance were used to analyze the data. Results The overall score for spiritual care needs was 31.16 ± 7.85. The two dimensions with the highest average scores, “create a good atmosphere” (3.16 ± 0.95), and the lowest average scores, “help religious practice” (1.72 ± 0.73). The 12 items were distributed as follows: three attractive attributes were located in Reserving Area IV; five one-dimensional attributes were distributed as follows: three one-dimensional attributes were located in Predominance Area I, and two were found in Improving Area II; two must-be attributes were located in Improving Area II; and two indifference attributes were located in Secondary Improving Area III. Conclusion The Chinese inpatients with advanced breast cancer had a middle level of spiritual care needs, which need to be further improved. Spiritual care needs attributes were defined, sorted, categorized, and optimized accurately and perfectly by the Kano model. And “create a good atmosphere” and “share self-perception” were primarily one-dimensional and must-be attributes. In contrast, the items in the dimensions of “share self-perception” and “help thinking” were principally attractive attributes. Nursing administrators are advised to optimize attractive attributes and transform indifference attributes by consolidating must-be and one-dimensional attributes, which will enable them to take targeted spiritual care measures based on each patient’s characteristics and unique personality traits.

Rapid advancements in Internet of Things (IoT) technology have promoted numerous novel applications that are sensitive to information timeliness. With different applications coexisting in one wireless network, each of which has heterogeneous traffic characteristics, it is of paramount importance while challenging to address how to characterize and optimize the information freshness performance network-wide, particularly in the massive access scenario. This paper casts attention on the heterogeneous slotted Aloha network and uses the Peak Age of Information (PAoI) metric to quantify information freshness. By assuming that the sensors in each group are equipped with unit-sized buffers and Bernoulli packet arrival, we derive the network steady-state point and PAoI. Depending on whether one group or all groups are age-sensitive, we focus on single-group PAoI and global PAoI optimization respectively. When only one single group is age-sensitive, we derive its optimal transmission probability. When all groups are age-sensitive, we propose a heuristic algorithm based on the particle swarm optimization method, where the bi-stability of Aloha network is considered for avoiding the risk of rapid performance deterioration. Extensive simulation results are presented to verify our analysis and the effectiveness of the proposed algorithm.

Abstract The stakeholder relationship network in urban village renovation projects is highly complex, exhibiting dynamic changes at different stages. Therefore, exploring the characteristics of the interaction networks among stakeholders at each stage and the changes in their role positioning is crucial for achieving collaborative governance involving multiple stakeholders. By employing a mixed research methodology comprising single-case analysis and social network analysis, this study aimed to explore stakeholder networks’ characteristics and evolution patterns at each stage of the renovation project. Moreover, it seeks to identify breakthroughs for collaborative governance. The research revealed that the main constraints to stakeholder collaboration in urban village renovation projects are low public participation in the early preparation stage, weak network situation of stakeholders during the demolition and resettlement compensation stage, and significant clique fragmentation during the development and construction implementation stages. This study recommended approaches such as transforming the development model, establishing public status, leveraging the resource-driving advantages of core stakeholders, and establishing a network-sharing platform. Through these means, various stakeholders could be guided to be effectively involved in the entire project construction process, leading to deep cooperation among multiple stakeholders.

To address the challenges of low accuracy and poor robustness of traditional single prediction models for blast furnace molten iron temperature, a hybrid model that integrates the improved complete ensemble empirical mode decomposition with adaptive noise, kernel principal component analysis, support vector regression and radial basis functional neural network is proposed for precise and stable iron temperature prediction. First, the complete ensemble empirical mode decomposition is employed to decompose the time series of iron temperature, yielding several intrinsic mode functions. Second, kernel principal component analysis is used to reduce the dimensionality of the multi-dimensional key variables from the steel production process, extracting the major features of these variables. Then, in conjunction with the K-means algorithm, support vector regression is utilized to predict the first column of the decomposed sequence, which contains the most informative content, evaluated using the Pearson correlation coefficient method and permutation entropy calculation. Finally, radial basis function neural network is applied to predict the remaining time series of iron temperature, resulting in the cumulative prediction. Results demonstrate that compared to traditional single models, the mean absolute percentage error is reduced by 54.55%, and the root mean square error is improved by 49.40%. This novel model provides a better understanding of the dynamic temperature variations in iron, and achieves a hit rate of 94.12% within a range of ±5℃. Consequently, this work offers theoretical support for real-time control of blast furnace molten iron temperature and holds practical significance for ensuring the stability of blast furnace smelting and implementing intelligent metallurgical processes.

Abstract Objective Lumbar disc herniation (LDH) is a common spinal surgical disease. Low back and leg pain caused by LDH is the main factor leading to functional disability, which has caused a serious burden to patients and society. Osteoking can delay the progression of osteoporosis and osteoarthritis, and even has a significant effect on the prevention of deep vein thrombosis after fracture surgery. In recent years, it has been gradually used in the treatment of LDH and has received significant results. However, the underlying mechanism remains unclear. The aim of this study was to predict the mechanism of Osteoking in the treatment of LDH through network pharmacology and verify it by molecular docking method. Methods The TCMSP database was used to collect the relevant active components and targets of Osteoking, while the GeneCards, OMIM and DisGeNET databases were utilized to collect the relevant disease targets of LDH. The Venny 2.1.0 software was employed to obtain the intersecting gene targets of Osteoking and LDH. PPI network construction and core target selection were performed using Cytoscape 3.9.0 software. The Metascape database was used for GO and KEGG enrichment analysis of the relevant targets. Finally, molecular docking was conducted using AutoDock software. Results The study identified 116 potential targets and 26 core targets for the treatment of LDH with Osteoking. Pathways in cancer, Alzheimer's disease, microRNAs in cancer and the IL-17 signalling pathway were among the main involved signalling pathways. Molecular docking results demonstrated that the key targets AKT1, IL-6, ALB, TNF and IL-1β exhibited relatively stable binding activities with the main active components of Osteoking. Conclusions Osteoking can alleviate the symptoms of lumbar disc herniation through the modulation of multiple targets and signalling pathways.

Abstract Purpose To analyze the selection of endovascular treatment strategies and the efficacy of various locations and types of splenic artery aneurysms (SAAs). Methods Sixty-three cases of patients diagnosed with SAA from January 2016 to October 2021 were collected, and their clinical data and follow-up results were analyzed. Results Among the 63 patients, 55 had true SAAs, and 8 had false SAAs. The average diameter of the true SAAs was 2.0 ± 0.8 cm. There were 10 cases of intra-aneurysm embolization, 24 cases of intra-aneurysm and aneurysm-bearing artery embolization, 10 cases of bare stent-assisted coil embolization, and 11 cases of stent grafts. The false SAAs had an average diameter of 2.3 ± 1.1 cm. Aneurysm-bearing artery embolization was applied in 5 cases, and stent grafts were applied in 3 cases. The incidence of complications after embolization of the aneurysm-bearing artery was higher (P

The fusion genes NRG1 and NRG2, members of the epidermal growth factor (EGF) receptor family, have emerged as key drivers in cancer. Upon fusion, NRG1 retains its EGF-like active domain, binds to the ERBB ligand family, and triggers intracellular signaling cascades, promoting uncontrolled cell proliferation. The incidence of NRG1 gene fusion varies across cancer types, with lung cancer being the most prevalent at 0.19 to 0.27%. CD74 and SLC3A2 are the most frequently observed fusion partners. RNA-based next-generation sequencing is the primary method for detecting NRG1 and NRG2 gene fusions, whereas pERBB3 immunohistochemistry can serve as a rapid prescreening tool for identifying NRG1-positive patients. Currently, there are no approved targeted drugs for NRG1 and NRG2. Common treatment approaches involve pan-ERBB inhibitors, small molecule inhibitors targeting ERBB2 or ERBB3, and monoclonal antibodies. Given the current landscape of NRG1 and NRG2 in solid tumors, a consensus among diagnostic and treatment experts is proposed, and clinical trials hold promise for benefiting more patients with NRG1 and NRG2 gene fusion solid tumors.

Population mobility between cities significantly affects traffic congestion, disease spread, and societal well-being. As globalization and urbanization accelerate, understanding the dynamics of population mobility becomes increasingly important. Traditional population migration models reveal the factors influencing migration, while machine learning methods provide effective tools for creating data-driven models to handle the nonlinear relationships between origin and destination characteristics and migration. To deepen the understanding of population mobility issues, this study presents GraviGBM, an expandable population mobility simulation model that combines the gravity model with machine learning, significantly enhancing simulation accuracy. By employing SHAPs (SHapley Additive exPlanations), we interpret the modeling results and explore the relationship between urban characteristics and population migration. Additionally, this study includes a case analysis of COVID-19, extending the model’s application during public health emergencies and evaluating the contribution of model variables in this context. The results show that GraviGBM performs exceptionally well in simulating inter-city population migration, with an RMSE of 4.28, far lower than the RMSE of the gravity model (45.32). This research indicates that distance emerged as the primary factor affecting mobility before the pandemic, with economic factors and population also playing significant roles. During the pandemic, distance remained dominant, but the significance of short distances gained importance. Pandemic-related indicators became prominent, while economics, population density, and transportation substantially lost their influence. A city-to-city flow analysis shows that when population sizes are comparable, economic factors prevail, but when economic profiles match, living conditions dictate migration. During the pandemic, residents from hard-hit areas moved to more distant cities, seeking normalcy. This research offers a comprehensive perspective on population mobility, yielding valuable insights for future urban planning, pandemic response, and decision-making processes.

Hydrogen energy is a green and environmentally friendly energy source, as well as an excellent energy carrier. Hydrogen storage technology is a key factor in its commercial development. Solid hydrogen storage methods represented by using metal hydride (MH) materials have good application prospects, but there are still problems of higher heat transfer resistance and slower hydrogen absorption and release rate as the material is applied to reactors. This study innovatively proposed an array-type MH hydrogen storage reactor based on external water-cooled jacket heat exchange, aiming to improve the heat transfer efficiency and absorption reaction performance, and optimize the absorption kinetics encountered in practical applications of LaNi5 hydrogen storage material in reactors. A mathematical model was built to compare the hydrogen absorption processes of the novel array-type and traditional reactors. The results showed that, with the same water-cooled jacket, the hydrogen absorption rate of the array-type reactor can be accelerated by 2.78 times compared to the traditional reactor. Because of the existence of heat transfer enhancement limits, the increase in the number of array elements and the flow rate of heat transfer fluid (HTF) has a limited impact on the absorption rate improvement of the array-type reactor. To break the limits, the hydrogen absorption pressure, as a direct driving force, can be increased. In addition, the increased pressure also increases the heat transfer temperature difference, thereby further improving heat transfer and absorption rate. For instance, at 3 MPa, the hydrogen absorption time can be shortened to 147 s.

Root-knot nematodes induce the formation of feeding sites within the host roots and the relocation of auxin into galls results in abnormal lateral root growth. Here, we analyzed the changes in cucumber root architecture under Meloidogyne incognita stress and the distribution of auxin in these morphological and molecular root changes. The number of root tips significantly decreased, and regression analysis showed a positive relationship between the size of root galls and the numbers of nematodes in galls compared with the lateral roots on galls, emphasizing the effect of nematode parasitism on root development. Data generated via a promoter-reporter system using the transgenic hairy root system first characterized the auxin distribution during nematode parasitism in cucumber. Using DR5:GUS staining of root galls, we further detected the expression of CsPIN1 and CsAUX1, which regulate polar auxin transport. The results showed that both CsPIN1 and CsAUX1 were induced in galls, and the relative expression of the two genes significantly increased at 21 DAI. The TIBA treatment, which can disrupt polar auxin transport inhibited the numbers of cucumber root tips and total length following increasing concentration gradients. Moreover, the numbers of galls were significantly affected by TIBA treatment, which showed the vital role of auxin during nematode parasitism. Our findings suggest that the transportation of auxin plays an important role during gall formation and induces cucumber lateral root development within nematode feeding sites.

A nanoliter liquid chromatography–high resolution mass spectrometry-based method was developed for quantitative proteomics analysis of COVID-19 vaccines. It can be used for simultaneous qualitative and quantitative analysis of target proteins and host cell proteins (HCPs) in vaccine samples. This approach can directly provide protein information at the molecular level. Based on this, the proteomes of 15 batches of COVID-19 inactivated vaccine samples from two companies and 12 batches of COVID-19 recombinant protein vaccine samples from one company were successfully analyzed, which provided a significant amount of valuable information. Samples produced in different batches or by different companies can be systematically contrasted in this way, offering powerful supplements for existing quality standards. This strategy paves the way for profiling proteomics in complex samples and provides a novel perspective on the quality evaluation of bio-macromolecular drugs.

The simulation of human sensory functions is a key trend in the field of sensor development. In taste sensing, taste biosensors emulate taste perception using biorecognition elements that participate in taste transduction, such as taste receptors, cells, tissues, etc. This approach obtains high selectivity and a wide detection range of human taste perception, making taste biosensors widely used in food analysis and taste perception studies. By combining biorecognition elements with suitable data processing and analysis techniques, the taste information generated during the process of taste transduction, obtained by the sensing elements of the sensor, can be accurately captured. In this paper, we explore current available solutions to stability and sensitivity, and other challenges in taste biosensors using taste receptors, cells, and tissues as sensing elements. We also outline the applied signal processing techniques based on the signal characteristics from different types of taste biosensors. Finally, it is proposed that the development of taste biosensing sensors will further promote the application of intelligent sensory evaluation and human perception analysis systems in food, medicine, and other fields.