Sulfated Cyclocarya paliurus polysaccharides exert immunomodulatory potential on macrophages via Toll-like receptor 4 mediated MAPK/NF-κB signaling pathways

The biological activity of plant polysaccharides can be enhanced by sulfated modification.In this study,the immunomodulatory effect of sulfated Cyclocarya paliurus polysaccharides(SCP3)on macrophages RAW264.7 and its potential molecular mechanism were investigated.Results showed that SCP3 at 25-100μg/m L increased viability and improved phagocytosis of RAW264.7 cells.Meanwhile,SCP3 could activate mitogen-activated protein kinase(MAPK)and nuclear factor kappa B(NF-κB)signaling pathways,which increased the phosphorylation of Erk1/2,JNK,p38 and NF-κB p65,promoting secretion of cytokines tumor necrosis factorα(TNF-α),interleukin 6(IL-6)and nitric oxide(NO)as well as the production of reactive oxygen species(ROS).In addition,Toll-like receptor 4(TLR4)receptor inhibitors were able to block the production of NO and TNF-αby SCP3-stimulated macrophages.Based on Western blot analysis and validation using specific inhibitors against MAPK and NF-κB signaling pathways,the results demonstrated that SCP3 induced macrophages activation and enhanced TNF-αand NO production via TLR4-mediated MAPK and NF-κB pathways.In summary,SCP3 has significant immunomodulatory potential.The underlying molecular mechanism was that SCP3 activates macrophages via TLR4 receptors to promote ROS production,which in turn activates the downstream MAPK/NF-κB signaling pathway and then increases the secretion levels of cytokines and NO.

Enhancing Deep Learning Semantics:The Diffusion Sampling and Label-Driven Co-Attention Approach

The advent of self-attention mechanisms within Transformer models has significantly propelled the advancement of deep learning algorithms,yielding outstanding achievements across diverse domains.Nonetheless,self-attention mechanisms falter when applied to datasets with intricate semantic content and extensive dependency structures.In response,this paper introduces a Diffusion Sampling and Label-Driven Co-attention Neural Network(DSLD),which adopts a diffusion sampling method to capture more comprehensive semantic information of the data.Additionally,themodel leverages the joint correlation information of labels and data to introduce the computation of text representation,correcting semantic representationbiases in thedata,andincreasing the accuracyof semantic representation.Ultimately,the model computes the corresponding classification results by synthesizing these rich data semantic representations.Experiments on seven benchmark datasets show that our proposed model achieves competitive results compared to state-of-the-art methods.

A privacy-preserving method for publishing data with multiple sensitive attributes

The overgeneralisation may happen because most studies on data publishing for multiple sensitive attributes(SAs)have not considered the personalised privacy requirement.Furthermore,sensitive information disclosure may also be caused by these personalised requirements.To address the matter,this article develops a personalised data publishing method for multiple SAs.According to the requirements of individuals,the new method partitions SAs values into two categories:private values and public values,and breaks the association between them for privacy guarantees.For the private values,this paper takes the process of anonymisation,while the public values are released without this process.An algorithm is designed to achieve the privacy mode,where the selectivity is determined by the sensitive value frequency and undesirable objects.The experimental results show that the proposed method can provide more information utility when compared with previous methods.The theoretic analyses and experiments also indicate that the privacy can be guaranteed even though the public values are known to an adversary.The overgeneralisation and privacy breach caused by the personalised requirement can be avoided by the new method.

Baseline radiologic features as predictors of efficacy in patients with pancreatic neuroendocrine tumors with liver metastases receiving surufatinib

Objective:Currently,pre-treatment prediction of patients with pancreatic neuroendocrine tumors with liver metastases(PNELM)receiving surufatinib treatment was unsatisfying.Our objective was to examine the association between radiological characteristics and efficacy/prognosis.Methods:We enrolled patients with liver metastases in the phase III,SANET-p trial(NCT02589821)and obtained contrast-enhanced computed tomography(CECT)images.Qualitative and quantitative parameters including hepatic tumor margins,lesion volumes,enhancement pattern,localization types,and enhancement ratios were evaluated.The progression-free survival(PFS)and hazard ratio(HR)were calculated using Cox’s proportional hazard model.Efficacy was analyzed by logistic-regression models.Results:Among 152 patients who had baseline CECT assessments and were included in this analysis,the surufatinib group showed statistically superior efficacy in terms of median PFS compared to placebo across various qualitative and quantitative parameters.In the multivariable analysis of patients receiving surufatinib(N=100),those with higher arterial phase standardized enhancement ratio-peri-lesion(ASER-peri)exhibited longer PFS[HR=0.039;95%confidence interval(95%CI):0.003−0.483;P=0.012].Furthermore,patients with a high enhancement pattern experienced an improvement in the objective response ratio[31.3%vs.14.7%,odds ratio(OR)=3.488;95%CI:1.024−11.875;P=0.046],and well-defined tumor margins were associated with a higher disease control rate(DCR)(89.3%vs.68.2%,OR=4.535;95%CI:1.285−16.011;P=0.019)compared to poorlydefined margins.Conclusions:These pre-treatment radiological features,namely high ASER-peri,high enhancement pattern,and well-defined tumor margins,have the potential to serve as predictive markers of efficacy in patients with PNELM receiving surufatinib.

A multiple sensitive attributes data publishing method with guaranteed information utility

Data publishing methods can provide available information for analysis while preserving privacy.The multiple sensitive attributes data publishing,which preserves the relationship between sensitive attributes,may keep many records from being grouped and bring in a high record suppression ratio.Another category of multiple sensitive attributes data publishing,which reduces the possibility of record suppression by breaking the relationship between sensitive attributes,cannot provide the sensitive attributes association for analysis.Hence,the existing multiple sensitive attributes data publishing fails to fully account for the comprehensive information utility.To acquire a guaranteed information utility,this article defines comprehensive information loss that considers both the suppression of records and the relationship between sensitive attributes.A heuristic method is leveraged to discover the optimal anonymity scheme that has the lowest comprehensive information loss.The experimental results verify the practice of the proposed data publishing method with multiple sensitive attributes.The proposed method can guarantee information utility when compared with previous ones.

Group Multi-Role Assignment With Conflicting Roles and Agents

Group role assignment(GRA)is originally a complex problem in role-based collaboration(RBC).The solution to GRA provides modelling techniques for more complex problems.GRA with constraints(GRA+)is categorized as a class of complex assignment problems.At present,there are few generally efficient solutions to this category of problems.Each special problem case requires a specific solution.Group multi-role assignment(GMRA)and GRA with conflicting agents on roles(GRACAR)are two problem cases in GRA+.The contributions of this paper include:1)The formalization of a new problem of GRA+,called group multi-role assignment with conflicting roles and agents(GMAC),which is an extension to the combination of GMRA and GRACAR;2)A practical solution based on an optimization platform;3)A sufficient condition,used in planning,for solving GMAC problems;and 4)A clear presentation of the benefits in avoiding conflicts when dealing with GMAC.The proposed methods are verified by experiments,simulations,proofs and analysis.

SVM-DT-Based Adaptive and Collaborative Intrusion Detection

As a primary defense technique, intrusion detection becomes more and more significant since the security of the networks is one of the most critical issues in the world. We present an adaptive collaboration intrusion detection method to improve the safety of a network. A self-adaptive and collaborative intrusion detection model is built by applying the Environmentsclasses, agents, roles, groups, and objects(E-CARGO) model. The objects, roles, agents, and groups are designed by using decision trees(DTs) and support vector machines(SVMs), and adaptive scheduling mechanisms are set up. The KDD CUP 1999 data set is used to verify the effectiveness of the method. The experimental results demonstrate the feasibility and efficiency of the proposed collaborative and adaptive intrusion detection method. Also, the proposed method is shown to be more predominant than the methods that use a set of single type support vector machine(SVM) in terms of detection precision rate and recall rate.

Medical data publishing based on average distribution and clustering

Most of the data publishing methods have not considered sensitivity protection,and hence the adversary can disclose privacy by sensitivity attack.Faced with this problem,this paper presents a medical data publishing method based on sensitivity determination.To protect the sensitivity,the sensitivity of disease information is determined by semantics.To seek the trade-off between information utility and privacy security,the new method focusses on the protection of sensitive values with high sensitivity and assigns the highly sensitive disease information to groups as evenly as possible.The experiments are conducted on two real-world datasets,of which the records include various attributes of patients.To measure sensitivity protection,the authors define a metric,which can evaluate the degree of sensitivity disclosure.Besides,additional information loss and discernability metrics are used to measure the availability of released tables.The experimental results indicate that the new method can provide better privacy than the traditional one while the information utility is guaranteed.Besides value protection,the proposed method can provide sensitivity protection and available releasing for medical data.

Progress in the Study of the Correlation between Apolipoproteins and Endometrial Cancer

In recent years, Lipid metabolism disorder has been closely related to malignant tumors. Apolipoprotein (Apo), as an important protein in lipoprotein transport and metabolism, plays an important role in the process of tumor proliferation. Endometrial carcinoma (EC) is a common gynecological malignant tumor, and its incidence is increasing year by year;in which obesity is an independent risk factor for the occurrence and prognosis of EC. This paper discusses the correlation and possible mechanism between different types of Apo and the occurrence, development and prognosis of EC, and briefly reviews the clinical application of some drugs in EC.

On the Poverty in the Rocky Desertification Areas of Southwest China Based on AHP: A Case Study of Liupanshui City in Guizhou Province

Karst rocky desertification mountain areas are regarded as main positions to wipe out poverty for their large poverty population,wide poverty area,high rate of poverty,etc. This paper takes Liupanshui city as an example where the situation of rocky desertification is very serious. We build the indicator system of poverty alleviation and development by analyzing their poverty and using the AHP method and also find the limiting factors which restrict the development of this area then put forward the recommendations to alleviate poverty.

Let Education Play a More Role in Rural Revitalization—Taking Guangxi Border Ethnic Areas as an Example

The development of education and the implementation of the strategy of rural revitalization are both decisions made by the Chinese government according to the needs of the country.The article first elaborates the relationship between education and rural revitalization.Second,it takes Guangxi border ethnic areas as an example to analyze the current problems and deficiencies in the development of education.Finally,it puts forward targeted suggestions,including a hundredyear plan and education-oriented.Education is the cornerstone of national revitalization.With a view to enabling education to play a more effective role in rural revitalization.

Carbene-Catalyzed Asymmetric Ring-Opening Reaction of Biaryl Lactams to Access Axially Chiral Biaryls

Axially chiral biaryls represent the most important class of atropisomers,and they widely exist in natural products and biologically active molecules.They also constitute a unique scaffold for chiral ligands and catalysts in organic synthesis.The development of synthetic methods to obtain such chiral compounds has received widespread attention,among which catalytically atroposelective ring-opening of configurationally labile compounds represents one of the most attractive strategies.Various substrates with strained cyclic structures,such as the renowned Bringmann's lactones,can undergo asymmetric transformation into stable atropisomers.Known advancement primarily relies on metal catalyst combined with well-designed chiral ligands,the approaches utilizing organocatalysis as a critical resolution strategy are notably scarce.In this study,we disclosed a N-heterocyclic carbene(NHC)-catalyzed asymmetric ring-opening reaction of biaryl lactams via direct atroposelective nucleophilic activation.The optimized bulky carbene catalyst ensures that the reaction can proceed under mild conditions,affording the desired product with good to excellent yields and atroposelectivity.

An elastic-plastic contact model for line contact structures

Although numerical simulation tools are now very powerful,the development of analytical models is very important for the prediction of the mechanical behaviour of line contact structures for deeply understanding contact problems and engineering applications.For the line contact structures widely used in the engineering field,few analytical models are available for predicting the mechanical behaviour when the structures deform plastically,as the classic Hertz’s theory would be invalid.Thus,the present study proposed an elastic-plastic model for line contact structures based on the understanding of the yield mechanism.A mathematical expression describing the global relationship between load history and contact width evolution of line contact structures was obtained.The proposed model was verified through an actual line contact test and a corresponding numerical simulation.The results confirmed that this model can be used to accurately predict the elastic-plastic mechanical behaviour of a line contact structure.

Human HAND1 inhibits the conversion of cholesterol to steroids in trophoblasts

Steroidogenesis from cholesterol in placental trophoblasts is fundamentally involved in the establishment and maintenance of pregnancy.The transcription factor gene heart and neural crest derivatives expressed1(Hand1)promotes differentiation of mouse trophoblast giant cells.However,the role of HAND1 in human trophoblasts remains unknown.Here,we report that HAND1 inhibits human trophoblastic progesterone(P4)and estradiol(E2)from cholesterol through downregulation of the expression of steroidogenic enzymes,including aromatase,P450 cholesterol side-chain cleavage enzyme(P450 scc),and 3β-hydroxysteroid dehydrogenase type 1(3β-HSD1).Mechanically,although HAND1 inhibits transcription of aromatase by directly binding to aromatase gene promoter,it restrains transcription of P450 scc by upregulation of the methylation status of P450 scc gene promoter through its binding to ALKBH1,a demethylase.Unlike aromatase and P450 scc,HAND1 decreases 3β-HSD1 m RNA levels by the reduction of its RNA stability through binding to and subsequent destabilizing protein Hu R.Finally,HAND1 suppresses circulating P4 and E2 levels derived from JEG-3 xenograft and attenuates uterine response to P4 and E2.Thus,our results uncover a hitherto uncharacterized role of HAND1 in the regulation of cholesterol metabolism in human trophoblasts,which may help pinpoint the underlying mechanisms involved in supporting the development and physiological function of the human placenta.