采用沉淀−煅烧法回收盐湖卤水中镁资源制备镁橄榄石耐火材料

通过沉淀−煅烧法研究盐湖锂镁分离和镁资源制备高附加值的镁橄榄石耐火材料。采用Na_(2)SiO_(3)和NaOH组合沉淀剂将盐湖卤水中的锂、镁离子沉淀分离,获得不同MgO/SiO2摩尔比的镁沉淀物。镁沉淀物主要由无定形硅酸镁和氢氧化镁堆积而成,在1400℃条件下的质量残留率均在62%以上。高温烧结实验表明,在Mg/Na_(2)SiO_(3)/NaOH的摩尔比为1:0.6:0.8、烧结温度为1350℃、时间为210 min的条件下,镁沉淀物可制备成性能优良的耐火材料,其耐火度在1800℃以上,抗压强度为190.73 MPa,体积密度为2.53 g/cm^(3),显气孔率为5.94%。所制备的耐火材料主要为镁橄榄石相,含有少量的顽火辉石相。

SrCl_(2)-KCl-MgCl_(2)熔体中氯化镁的电化学行为和镁锶共沉积机理

采用循环伏安法、方波伏安法、开路电位等电化学手段评估SrCl_(2)-KCl共晶体系中MgCl_(2)的电化学行为和Mg、Sr共沉积机理。在SrCl_(2)-KCl体系中,Mg(Ⅱ)在钨电极的还原属于一步两电子的准可逆过程;Mg、Sr的电化学共沉积过程形成两种Mg-Sr金属间化合物。基于计时电流法探索共沉积过程的成核类型随过电位的演变关系,结果显示,电极表面的成核模式依赖于基体材料和电极反应产物。所有过电位下对应的前期成核归因于Mg(Ⅱ)的还原。当Mg和Sr共同沉积时,首先是Mg(Ⅱ)在电极表面还原,形成Mg核,随后同时进行Sr(Ⅱ)在Mg表面欠电位沉积和Mg的沉积。此外,随着SrCl_(2)-KCl体系中MgCl_(2)浓度的增加,Mg-Sr共沉积过程中的电流密度相应增加。

Ethanol changes Nestin-promoter induced neural stem cells to disturb newborn dendritic spine remodeling in the hippocampus of mice

Adolescent binge drinking leads to long-lasting disorders of the adult central nervous system,particularly aberrant hippocampal neurogenesis.In this study,we applied in vivo fluorescent tracing using NestinCreERT2::Rosa26-tdTomato mice and analyzed the endogenous neurogenesis lineage progression of neural stem cells(NSCs)and dendritic spine formation of newborn neurons in the subgranular zone of the dentate gyrus.We found abnormal orientation of tamoxifen-induced tdTomato+(tdTom^(+))NSCs in adult mice 2 months after treatment with EtOH(5.0 g/kg,i.p.)for 7 consecutive days.EtOH markedly inhibited tdTom^(+)NSCs activation and hippocampal neurogenesis in mouse dentate gyrus from adolescence to adulthood.EtOH(100 mM)also significantly inhibited the proliferation to 39.2%and differentiation of primary NSCs in vitro.Adult mice exposed to EtOH also exhibited marked inhibitions in dendritic spine growth and newborn neuron maturation in the dentate gyrus,which was partially reversed by voluntary running or inhibition of the mammalian target of rapamycinenhancer of zeste homolog 2 pathway.In vivo tracing revealed that EtOH induced abnormal orientation of tdTom+NSCs and spatial misposition defects of newborn neurons,thus causing the disturbance of hippocampal neurogenesis and dendritic spine remodeling in mice.

Trunk‑Inspired SWCNT‑Based Wrinkled Films for Highly‑Stretchable Electromagnetic Interference Shielding and Wearable Thermotherapy

Nowadays,the increasing electromagnetic waves generated by wearable devices are becoming an emerging issue for human health,so stretchable electromagnetic interference(EMI)shielding materials are highly demanded.Elephant trunks are capable of grabbing fragile vegetation and tearing trees thanks not only to their muscles but also to their folded skins.Inspired by the wrinkled skin of the elephant trunks,herein,we propose a winkled conductive film based on single-walled carbon nanotubes(SWCNTs)for multifunctional EMI applications.The conductive film has a sandwich structure,which was prepared by coating SWCNTs on both sides of the stretched elastic latex cylindrical substrate.The shrinking-induced winkled conductive network could withstand up to 200%tensile strain.Typically,when the stretching direction is parallel to the polarization direction of the electric field,the total EMI shielding effectiveness could surprisingly increase from 38.4 to 52.7 dB at 200%tensile strain.It is mainly contributed by the increased connection of the SWCNTs.In addition,the film also has good Joule heating performance at several voltages,capable of releasing pains in injured joints.This unique property makes it possible for strain-adjustable multifunctional EMI shielding and wearable thermotherapy applications.

Unraveling the regulatory network of flower coloration in soybean:Insights into roles of GmMYBA3 and GmMYBR1

Anthocyanins play crucial roles in pollen protection and pollinator attraction in flowering plants.However,the mechanisms underlying flower color determination and whether floral anthocyanin regulators participate in other processes remain largely unresolved in soybeans(Glycine max).In this study,we investigated the genetic components and mechanisms governing anthocyanin biosynthesis in soybean flowers.Molecular and genetic studies have characterized two antagonistic regulators,the positive activator GmMYBA3 and the negative repressor GmMYBR1,that modulate the gene expression of anthocyanin biosynthesis in soybean flowers.Further findings revealed a regulatory interplay between GmMYBA3 and GmMYBR1 bridged by GmTT8a,highlighting the complexity of anthocyanin regulation in different soybean organs.Exploration of additional soybean cultivars demonstrated the universality of GmMYBA3 and GmMYBR1 in regulating floral anthocyanin biosynthesis-related genes,with GmF3’5’H identified as a crucial determinant of white flower color.This study provides a molecular mechanism underlying soybean flower color determination,paving the way for the molecular modification of soybean flowers to probably enhance their resistance to abiotic stresses and attractiveness to pollinators.

Drought-triggered repression of miR166 promotes drought tolerance in soybean

Drought stress limits agricultural productivity worldwide.Identifying and characterizing genetic components of drought stress-tolerance networks may improve crop resistance to drought stress.We show that the regulatory module formed by miR166 and its target gene,ATHB14-LIKE,functions in the regulation of drought tolerance in soybean(Glycine max).Drought stress represses the accumulation of miR166,leading to upregulation of its target genes.Optimal knockdown of miR166 in the stable transgenic line GmSTTM166 conferred drought tolerance without affecting yield.Expression of ABA signaling pathway genes was regulated by the miR166-mediated regulatory pathway,and ATHB14-LIKE directly activates some of these genes.There is a feedback regulation between ATHB14-LIKE and MIR166 genes,and ATHB14-LIKE inhibits MIR166 expression.These findings reveal that drought-triggered regulation of the miR166-mediated regulatory pathway increases plants drought resistance,providing new insights into drought stress regulatory network in soybean.

An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low precision.Because of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation mode.Firstly,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance segmentation.Experimental results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 model.The segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

Identification of TMEM159 as a biomarker of glioblastoma progression based on immune characteristics

Background:Glioblastoma multiforme(GBM)is the most general malignancy of the primary central nervous system that is characterized by high aggressiveness and lethality.Transmembrane protein 159(TMEM159)is an endoplasmic reticulum protein that can form oligomers with seipin.The TMEM159-seipin complex decides the site of lipid droplet(LD)formation,and the formation of LDs is a marker of GBM.However,the role of TMEM159 in the progression of GBM has not been investigated to date.Methods:In this study,we examined the genes that may be associated with patient prognosis in GBM by bioinformatics analyses,and identified the key genes that affect the development of GBM using single-cell RNA sequencing technology.The biological functions of TMEM159 in GBM cells were additionally assessed by clone formation and transwell assays as well as using a model of chick embryo chorioallantois membrane(CAM)and western blotting.The association between TMEM159 and epidermal growth factor receptor(EGFR)was finally analyzed in GBM cells.Results:A prognostic model was established and validated for predicting the prognosis.Survival curve analysis showed a critical difference in the prognosis of the high-and low-risk groups predicted by the prognostic model.The results demonstrated that TMEM159 affected the proliferation and invasion of GBM cells.The chick embryo CAM assays demonstrated that the inhibition of TMEM159 expression reduced angiogenesis in the CAM model.Conclusions:The prognostic model achieved good predictive potential for high-risk patients.The findings also revealed that TMEM159 might be an important prognostic factor for GBM,indicating that the protein may be a promising therapeutic target for suppressing the development of GBM.

Coordinated Capacitor Voltage Balancing Method for Cascaded H-bridge Inverter with Supercapacitor and DC-DC Stage

Cascaded H-bridge inverter(CHBI) with supercapacitors(SCs) and dc-dc stage shows significant promise for medium to high voltage energy storage applications. This paper investigates the voltage balance of capacitors within the CHBI, including both the dc-link capacitors and SCs. Balance control over the dc-link capacitor voltages is realized by the dcdc stage in each submodule(SM), while a hybrid modulation strategy(HMS) is implemented in the H-bridge to balance the SC voltages among the SMs. Meanwhile, the dc-link voltage fluctuations are analyzed under the HMS. A virtual voltage variable is introduced to coordinate the balancing of dc-link capacitor voltages and SC voltages. Compared to the balancing method that solely considers the SC voltages, the presented method reduces the dc-link voltage fluctuations without affecting the voltage balance of SCs. Finally, both simulation and experimental results verify the effectiveness of the presented method.

CircTIAM1 overexpression promotes the progression of papillary thyroid cancer by regulating the miR-338-3p/LASP1 axis

Background:Papillary thyroid cancer(PTC)is the most prevalent histological type of differentiated thyroid malignancy.Circular RNAs(circRNAs)have been implicated in the pathogenesis and progression of various cancers.circTIAM1(hsa_circ_0061406)is a novel circRNA with aberrant expression in PTC.However,its functional roles in PTC progression remain to be investigated.Methods:The expression levels of circTIAM1 in the PTC and the matched para-cancerous tissues were detected by quantitative real-time reverse-transcription PCR(qRT-PCR).The subcellular localization of circTIAM1 was examined by fluorescence in-situ hybridization(FISH).Kaplan-Meier plot was used to analyze the association of clinicopathological features with circTIAM1 expression.Bioinformatics databases were utilized to predict the target miRNAs of circTIAM1 and the downstream target mRNAs.RNA pulldown,RIP assay,and dual-luciferase reporter assay were used to confirm the interactions.Functional experiments,such as CCK-8,EDU staining,and apoptosis assays,as well as in vivo xenograft model were employed to explore the impacts of circTIAM1,miR-338-3p,and LIM/SH3 protein 1(LASP1)on the malignant phenotype of the PTC cells.Results:CircTIAM1 was highly expressed in PTC cells.Moreover,circTIAM1 silencing suppressed the proliferation and invasion of PTC cells in vitro and impaired tumorigenesis in vivo.Furthermore,miR-338-3p was verified as a miRNA target of circTIAM1.LASP1 was also identified as a downstream target of miR-338-3p.The anti-tumorigenic effect of miR-338-3p overexpression and the pro-tumorigenic effect of LASP1 was further explored by functional assays,which demonstrated that circTIAM1 modulated the PTC progression through targeting miR-338-3p/LASP1 axis.Conclusion:The overexpression of circTIAM1 is associated with the malignant progression of PTC.A high level of circTIAM1 promotes the malignancy of PTC cells via the miR-338-3p/LASP1 axis.

Current state and influencing factors in airbag management among emergency department nurses:A multicenter study

BACKGROUND The emergency department(ED)plays a critical role in establishing artificial airways and implementing mechanical ventilation.Managing airbags in the ED presents a prime opportunity to mitigate the risk of ventilator-associated pneumonia.Nonetheless,existing research has largely overlooked the understanding,beliefs,and practical dimensions of airway airbag management among ED nurses,with a predominant focus on intensive care unit nurses.AIM To investigate the current status of ED nurses'knowledge,beliefs,and practical behaviors in airway airbag management and their influencing factors.METHODS A survey was conducted from July 10th to August 10th,2023,using convenience sampling on 520 ED nurses from 15 tertiary hospitals and 5 sary hospitals in Shanghai.Pathway analysis was utilized to analyze the influencing factors.RESULTS The scores for ED nurses'airway airbag management knowledge were 60.26±23.00,belief was 88.65±13.36,and behavior was 75.10±19.84.The main influencing factors of airbag management knowledge included participation in specialized nurse or mechanical ventilation training,department,and work experience in the department.Influencing factors of airbag management belief comprised knowledge,department,and participation in specialized nurse or mechanical ventilation training.Primary influencing factors of airbag management behavior included knowledge,belief,department,participation in specialized nurse or mechanical ventilation training,and professional title.The belief in airbag management among ED nurses acted as a partial mediator between knowledge and behavior,with a total effect value of 0.513,and an indirect effect of 0.085,constituting 16.6%of the total effect.CONCLUSION ED nurses exhibit a positive attitude toward airbag management with relatively standardized practices,yet there remains room for improvement in their knowledge levels.Nursing managers should implement interventions tailored to the characteristics of ED nurses'airbag management knowledge,beliefs,and practices to enhance their airbag management proficiency.

Association between gut microbiota and hepatocellular carcinoma and biliary tract cancer:A mendelian randomization study

BACKGROUND An increasing number of studies have begun to discuss the relationship between gut microbiota and diseases,yet there is currently a lack of corresponding articles describing the association between gut microbiota and hepatocellular carcinoma(HCC)and biliary tract cancer(BTC).This study aims to explore the relationship between them using Mendelian randomization(MR)analysis method.AIM To assess the relationship between gut microbiota and HCC and BTC.METHODS We obtained Genome-wide association study(GWAS)data for the gut microbiome from the intestinal microbiota genomic library(MiBioGen,https://mibiogen.gcc.rug.nl/).Additionally,we accessed data pertaining to HCC and BTC from the IEU open GWAS platform(https://gwas.mrcieu.ac.uk/).Our analysis employed fundamental instrumental variable analysis methods,including inverse-variance weighted,MR and Egger.To ensure the dependability of the results,we subjected the results to tests for multiple biases and heterogeneity.RESULTS During our investigation,we discovered 11 gut microbiota linked to an increased risk to BTC and HCC.The former included the genus Eubacterium hallii group(P=0.017),Candidatus Soleaferrea(P=0.034),Flavonifractor(P=0.021),Lachnospiraceae FCS020(P=0.034),the order Victivallales(P=0.018),and the class Lentisphaeria(P=0.0.18).The latter included the genus Desulfovibrio(P=0.042),Oscillibacter(P=0.023),the family Coriobacteriaceae(P=0.048),the order Coriobacteriales(P=0.048),and the class Coriobacteriia(P=0.048).Furthermore,in BTC,we observed 2 protective gut microbiota namely the genus Dorea(P=0.041)and Lachnospiraceae ND3007 group(P=0.045).All results showed no evidence of multiplicity or heterogeneity.CONCLUSION This study explores a causal link between gut microbiota and HCC and BTC.These insights may enhance the mechanistic knowledge of microbiota-related HCC and BTC pathways,potentially informing therapeutic strategies.

Study on Image Recognition Algorithm for Residual Snow and Ice on Photovoltaic Modules

The accumulation of snow and ice on PV modules can have a detrimental impact on power generation,leading to reduced efficiency for prolonged periods.Thus,it becomes imperative to develop an intelligent system capable of accurately assessing the extent of snow and ice coverage on PV modules.To address this issue,the article proposes an innovative ice and snow recognition algorithm that effectively segments the ice and snow areas within the collected images.Furthermore,the algorithm incorporates an analysis of the morphological characteristics of ice and snow coverage on PV modules,allowing for the establishment of a residual ice and snow recognition process.This process utilizes both the external ellipse method and the pixel statistical method to refine the identification process.The effectiveness of the proposed algorithm is validated through extensive testing with isolated and continuous snow area pictures.The results demonstrate the algorithm’s accuracy and reliability in identifying and quantifying residual snow and ice on PV modules.In conclusion,this research presents a valuable method for accurately detecting and quantifying snow and ice coverage on PV modules.This breakthrough is of utmost significance for PV power plants,as it enables predictions of power generation efficiency and facilitates efficient PV maintenance during the challenging winter conditions characterized by snow and ice.By proactively managing snow and ice coverage,PV power plants can optimize energy production and minimize downtime,ensuring a sustainable and reliable renewable energy supply.

Noninherited Factors in Fetal Congenital Heart Diseases Based on Bayesian Network:A Large Multicenter Study

Background:Current studies have confirmed that fetal congenital heart diseases(CHDs)are caused by various factors.However,the quantitative risk of CHD is not clear given the combined effects of multiple factors.Objective:This cross-sectional study aimed to detect associated factors of fetal CHD using a Bayesian network in a large sample and quantitatively analyze relative risk ratios(RRs).Methods:Pregnant women who underwent fetal echocardiography(N=16,086 including 3,312 with CHD fetuses)were analyzed.Twenty-six maternal and fetal factors were obtained.A Bayesian network is constructed based on all variables through structural learning and parameter learning methods to find the environmental factors that directly and indirectly associated with outcome,and the probability of fetal CHD in the two groups is predicted through a junction tree reasoning algorithm,so as to obtain RR for fetal CHD under different exposure factor combinations.Taking into account the effect of gestational week on the accuracy of model prediction,we conducted sensitivity analysis on gestational week groups.Results:The single-factor analysis showed that the RRs for the numbers of births,spontaneous abortions,and parental smoking were 1.50,1.38,and 1.11(P<0.001),respectively.The risk gradually increased with the synergistic effect of ranging from one to more environmental factors above.The risk was higher among subjects with five synergistic factors,including the number of births,upper respiratory tract infection during early pregnancy,anemia,and mental stress as well as a history of spontaneous abortions or parental smoking,than in those with less than 5 factors(RR=2.62 or 2.28,P<0.001).This result was consistent across the participants grouped by GWs.Conclusion:We identified six factors that were directly associated with fetal CHD.A higher number of these factors led to a higher risk of CHD.These findings suggest that it is important to strengthen healthcare and prenatal counseling for women with these factors.

An Algorithm for the Inverse Problem of Matrix Processing: DNA Chains, Their Distance Matrices and Reconstructing

We continue to consider one of the cybernetic methods in biology related to the study of DNA chains. Exactly, we are considering the problem of reconstructing the distance matrix for DNA chains. Such a matrix is formed on the basis of any of the possible algorithms for determining the distances between DNA chains, as well as any specific object of study. At the same time, for example, the practical programming results show that on an average modern computer, it takes about a day to build such a 30 × 30 matrix for mnDNAs using the Needleman-Wunsch algorithm;therefore, for such a 300 × 300 matrix, about 3 months of continuous computer operation is expected. Thus, even for a relatively small number of species, calculating the distance matrix on conventional computers is hardly feasible and the supercomputers are usually not available. Therefore, we started publishing our variants of the algorithms for calculating the distance between two DNA chains, then we publish algorithms for restoring partially filled matrices, i.e., the inverse problem of matrix processing. Previously, we used the method of branches and boundaries, but in this paper we propose to use another new algorithm for restoring the distance matrix for DNA chains. Our recent work has shown that even greater improvement in the quality of the algorithm can often be achieved without improving the auxiliary heuristics of the branches and boundaries method. Thus, we are improving the algorithms that formulate the greedy function of this method only. .

Mid-IR Laser Generating Ultrasound in a Polyetheretherketone Polymer

We demonstrate laser ultrasonic generation in polyetheretherketone(PEEK). A middle infrared ZnGeP2 optical parametric oscillator(ZGP-OPO) pumped by a Q-switched Ho:YAG laser is employed as the ultrasonic excitation source. The ZGP-OPO has a spectral range of 3.2–3.4 μm. At an output wavelength of 3.4 μm, the maximum average output power of ZGP-OPO is 3.05 W with a pulse width of 24.3 ns, corresponding to a peak power of approximately 127.5 kW. The ultrasound is generated by the laser converted from 3.2 to 3.4 μm in the PEEK composite. The maximum ultrasonic signal amplitude in PEEK is 33 mV under the condition of thermoelastic excitation at 3.4 μm. Ablation occurs in the CPRF sample when the energy fluence is over 122.45 m J/cm^2. PEEK has a stronger absorption at 3.4 μm and laser-ultrasound generation is influenced by the wavelength of the laser.

OCTA定量分析糖尿病视网膜病变患者黄斑区微循环变化

目的:通过光学相干断层扫描血管成像(OCTA)技术,评估糖尿病视网膜病变(DR)患者黄斑区微循环变化,并对可能影响黄斑区微循环的危险因素进行分析,为DR早期筛查、诊断及治疗干预提供临床依据。方法:回顾性研究。收集2022-05/10于西安市中心医院眼科门诊及病房就诊的2型糖尿病患者75例75眼,分为无DR(NDR)组28眼、非增殖型DR(NPDR)组25眼、增殖型DR(PDR)组22眼。应用OCTA对黄斑区视网膜行3mm×3mm血流成像扫描,自动获得浅层视网膜黄斑中心凹区、黄斑旁中心凹区(1~3mm)以及黄斑区3mm×3mm的血管密度(VD)和黄斑中心凹无血管区(FAZ)面积,分析黄斑区各参数在不同程度DR患者中的变化。结果:与NDR组相比,PDR组和NPDR组患者黄斑区3mm×3mm浅层视网膜毛细血管(SCP)的VD降低(均P<0.017),并且黄斑旁中心凹VD在各象限均降低(P<0.017),以PDR组降低最为显著。PDR组和NPDR组患者FAZ面积明显大于NDR组(P<0.017)。DR患者的年龄、同型半胱氨酸、最佳矫正视力(LogMAR)、眼轴、糖化血红蛋白(HbA1c)与黄斑中心凹区VD呈负相关(P<0.05),同型半胱氨酸、最佳矫正视力(LogMAR)、眼轴、糖尿病病程与黄斑区3mm×3mm VD呈负相关(P<0.05),甘油三酯、最佳矫正视力(LogMAR)、HbA1c与黄斑旁中心凹区VD呈负相关(P<0.05),总胆固醇、CMT与VD无明显相关(P>0.05)。结论:OCTA可以监测到DR患者黄斑区微循环变化,DR患者的全身情况与黄斑区微循环密切相关。

Double-target neural circuit-magnetic stimulation improves motor function in spinal cord injury by attenuating astrocyte activation

Multi-target neural circuit-magnetic stimulation has been clinically shown to improve rehabilitation of lower limb motor function after spinal cord injury. However, the precise underlying mechanism remains unclear. In this study, we performed double-target neural circuit-magnetic stimulation on the left motor cortex and bilateral L5 nerve root for 3 successive weeks in a rat model of incomplete spinal cord injury caused by compression at T10. Results showed that in the injured spinal cord, the expression of the astrocyte marker glial fibrillary acidic protein and inflammatory factors interleukin 1β, interleukin-6, and tumor necrosis factor-α had decreased, whereas that of neuronal survival marker microtubule-associated protein 2 and synaptic plasticity markers postsynaptic densification protein 95 and synaptophysin protein had increased. Additionally, neural signaling of the descending corticospinal tract was markedly improved and rat locomotor function recovered significantly. These findings suggest that double-target neural circuit-magnetic stimulation improves rat motor function by attenuating astrocyte activation, thus providing a theoretical basis for application of double-target neural circuit-magnetic stimulation in the clinical treatment of spinal cord injury.

Deformation prediction model of concrete face rockfill dams based on an improved random forest model

The unique structure and complex deformation characteristics of concrete face rockfill dams(CFRDs)create safety monitoring challenges.This study developed an improved random forest(IRF)model for dam health monitoring modeling by replacing the decision tree in the random forest(RF)model with a novel M5'model tree algorithm.The factors affecting dam deformation were preliminarily selected using the statistical model,and the grey relational degree theory was utilized to reduce the dimensions of model input variables.Finally,a deformation prediction model of CFRDs was established using the IRF model.The ten-fold cross-validation method was used to quantitatively analyze the parameters affecting the IRF algorithm.The performance of the established model was verified using data from three specific measurement points on the Jishixia dam and compared with other dam deformation prediction models.At point ES-10,the performance evaluation indices of the IRF model were superior to those of the M5'model tree and RF models and the classical support vector regression(SVR)and back propagation(BP)neural network models,indicating the satisfactory performance of the IRF model.The IRF model also outperformed the SVR and BP models in settlement prediction at points ES2-8 and ES4-10,demonstrating its strong anti-interference and generalization capabilities.This study has developed a novel method for forecasting and analyzing dam settlements with practical significance.Moreover,the established IRF model can also provide guidance for modeling health monitoring of other structures.

Pterostilbene antagonizes homocysteine-induced oxidative stress,apoptosis and lipid deposition in vascular endothelial cells

Hyperhomocysteinemia(HHcy)causes oxidative stress, induces apoptosis, and leads to damage to the vascular endothelium is the starting point of atherosclerosis. Pterostilbene(Pte)has been reported to have antioxidant and anti-apoptotic effects under various pathological conditions. The purpose of this study was to explore whether Pte can inhibit the oxidative stress and apoptosis of vascular endothelium induced by homocysteine(Hcy)and to explain the possible mechanism by which it occurs. The results showed that 20 μmol/L Pte significantly reduced the accumulation of reactive oxygen species, malondialdehyde, and lipids in cells induced by Hcy and promoted the activities of superoxide dismutase and catalase. The Hoechst 33342/PI staining assay showed that Pte antagonized Hcy-induced apoptosis. Pte inhibited Hcy-induced Akt dephosphorylation, increased p53, and decreased the Bcl-2/Bax ratio and caspase-9/caspase-3 activation in a dose-dependent manner. LY294002 pretreatment partially reversed the protective effect of Pte by blocking the PI3K/Akt pathway. Moreover, Pte reduced lipid deposition in human umbilical vein endothelial cells(HUVECs). This study proposes that Pte can inhibit Hcy-induced oxidative stress and apoptosis of HUVECs, and the PI3K/Akt/p53 signaling pathway of apoptosis was revealed. These results suggest that Pte exhibits significant potential for dealing with HHcy-induced vascular endothelial injury, such as atherosclerosis.