After the release of the No.1 central document in 2021,the process of rural revitalization has accelerated.In this context,the construction of agricultural industry brands has become a key measure to promote regional ...After the release of the No.1 central document in 2021,the process of rural revitalization has accelerated.In this context,the construction of agricultural industry brands has become a key measure to promote regional agricultural development and achieve rural economic prosperity.In this paper,Xixiangtang District in Nanning City is taken as the research object,and the paths and countermeasures of local universities in Guangxi to assist in the construction of regional agricultural industry brands are deeply analyzed.By analyzing the current situation of characteristic agricultural brand construction in Nanning City and Xixiangtang District,it is found that there are problems such as insufficient exploration of characteristic agricultural brands and regional cultural characteristics,insufficient support for agricultural industry production entities,needing to strengthen government guidance services,and insufficient utilization of scientific and technological research and development advantages.In response to this,assistance countermeasures and suggestions for local universities in Guangxi are proposed in building regional public brands for agricultural products,improving the modern agricultural industry service system,providing technical support and talent cultivation,promoting the development of characteristic agricultural industries through scientific research institution and enterprise linkage,and assisting enterprises in expanding sales channels in all aspects.展开更多
To investigate therelationship between sarcopenia and vital capacity(VC)in older adults in Nanning by investigating their humanbody composition and VC.A total of 355 middle-aged and elderly people(male 86,female 269)i...To investigate therelationship between sarcopenia and vital capacity(VC)in older adults in Nanning by investigating their humanbody composition and VC.A total of 355 middle-aged and elderly people(male 86,female 269)in Nanning wererandomly selected,their VC and body composition were measured by using the vital capacity tester and bodycomposition analyzer.①VC,BMI,skeletal muscle mass index(SMI)of male were higher than those of female,but the fat mass(FM)and body fat rate(BF%)were lower than that of female.②The VC in the male sarcopeniagroup was lower than that of the control group.③BMI and systemic muscle mass(SMM)in the male and femalesarcopenia group were lower than those in the control group,and the FM and trunk muscle mass(TMM)in thefemale group were lower than those in the control group.展开更多
The researcher aims to examine the impact of destination image of Nanning Garden Expo on tourist willingness to revisit.In this study,Nanning Garden Expo,a famous comprehensive park in Nanning,Guangxi,is selected as t...The researcher aims to examine the impact of destination image of Nanning Garden Expo on tourist willingness to revisit.In this study,Nanning Garden Expo,a famous comprehensive park in Nanning,Guangxi,is selected as the research object.Based on previous literature and theories,the author analyzes and explores the relationship between the destination image of Nanning Garden Expo and tourist willingness to revisit.The research tool is questionnaire and the sample size of the survey data is calculated by Cochrane formula,and the data collection volume is 385.The statistics used in the data analysis are descriptive statistics including frequency distribution,percentage,mean,standard deviation,and inferential statistic for testing hypothesis.The researcher applies multiple regression analysis models to examine which independent variables have strong or weak relationships with dependent variables.Hypothesis test indicates that destination image has a significant positive impact on tourist willingness to revisit.Based on the results of the empirical study,relevant suggestions are proposed for how to enhance tourist willingness to revisit for Nanning Garden Expo and promote the healthy and sustainable development of tourism.展开更多
Time-resolved single-particle measurements were conducted during Chinese New Year in Nanning, China. Firework displays resulted in a burst of SO2, coarse mode, and accumulation mode （100-500 nm） particles. Through s...Time-resolved single-particle measurements were conducted during Chinese New Year in Nanning, China. Firework displays resulted in a burst of SO2, coarse mode, and accumulation mode （100-500 nm） particles. Through single particle mass spectrometry analysis, five different types of particles （fireworks-metal, ash, dust, organic carbon-sulfate （OC-sulfate）, biomass burning） with different size distributions were identified as primary emissions from firework displays. The fireworks-related particles accounted for more than 70% of the total analyzed particles during severe firework detonations. The formation of secondary particulate sulfate and nitrate during firework events was investigated on single particle level. An increase of sulfite peak （80SO3） followed by an increase of sulfate peaks （97HSO7＋96SO7） in the mass spectra during firework displays indicated the aqueous uptake and oxidation of SO2 on particles. High concentration of gaseous SO2, high relative humidity and high particle loading likely promoted SO2 oxidation. Secondary nitrate formed through gas-phase oxidation of NO2 to nitric acid, followed by the condensation into particles as ammonium nitrate. This study shows that under worm, humid conditions, both primary and secondary aerosols contribute to the particulate air pollution during firework displays.展开更多
[Objectives]The development of Guangxi Debao pony is very slow,and its quantity and quality have dropped sharply.In order to reduce the deterioration of breeds and the loss of excellent genetic stallions,this study wa...[Objectives]The development of Guangxi Debao pony is very slow,and its quantity and quality have dropped sharply.In order to reduce the deterioration of breeds and the loss of excellent genetic stallions,this study was conducted.[Methods]Modern biological reproduction technology was adopted to protect,breed,develop,purify and rejuvenate the germplasm resources of Debao pony,and a conservation farm was constructed for Debao pony to speed up the development of the industrialization of ponies.[Results]Debao pony is characterized with strong disease resistance and strong adaptability to other places,and the growth indicators are basically consistent with the origin,which is conducive to market promotion.[Conclusions]The start of Guangxi Debao pony ex-situ conservation project will accelerate the development of pony industrialization,and it has particularly important practical significance.展开更多
According to spatial distribution of climate disasters in Nanning City and physiological and ecological indicator demands of sugarcane,with the aid of HJ- 1 CCD satellite remote sensing images,basic meteorological dat...According to spatial distribution of climate disasters in Nanning City and physiological and ecological indicator demands of sugarcane,with the aid of HJ- 1 CCD satellite remote sensing images,basic meteorological data and geographic information data,this paper established the model for predicting climatic yield of sugarcane in Nanning City,to predict total yield of sugarcane in Nanning City. Results indicated that the distribution of sugarcane in Nanning City is greatly influenced by drought. In 2010,regions suffered from drought had sugarcane planting area of 346. 20 km2,accounting for 18.88% of the total sugarcane planting area. The influence of frost disaster on distribution of sugarcane in Nanning City is limited. Regions suffered from frost had sugarcane planting area of only 67. 1 km2,taking up 3.75% of the total sugarcane planting area. In 2010,the climatic yield of sugarcane in Nanning City was 8. 8446 million tons. It proved that the prediction accuracy of the model is up to 90%.展开更多
Based on derivation of permanent income hypothesis(PIH),the conflict is analyzed between expected profitability of migrants and government policy in resettlement project.Government has provided compensation for releva...Based on derivation of permanent income hypothesis(PIH),the conflict is analyzed between expected profitability of migrants and government policy in resettlement project.Government has provided compensation for relevant building and land losses,but farmers are still unwilling to dismantle and move.On the contrary,it results in more serious social problems.The implementation and effect of resettlement policy is analyzed with ADB-funded Nanning Qingxiu Mountain Resettlement Project as an example.Finally,following suggestions are put forward for promoting sustainable development of resettlement:change ideas of resettlement to promote establishment of civil rights protection ideas;carry out early survey to protect rights and interests of owners and migrants;communicate with migrants to ensure their smooth appeal channel;and enhance coordination work with government department to ensure smooth completion of resettlement.展开更多
The rate of respiratory allergic diseases is high. Statitics show that with the people in the United States, the rate of the diseases caused by pollen grains alone is as high as 10％. The rate of the asthmatic bronchi...The rate of respiratory allergic diseases is high. Statitics show that with the people in the United States, the rate of the diseases caused by pollen grains alone is as high as 10％. The rate of the asthmatic bronchitis is 5％ and it often causes complications. The health and work of people have been highly impaired. Pollen grains are the main aspiratory allergens in atmosphere. Therefore, to effectively prevent, diagnose and cure respiratory allergic diseases, we should, first of all,展开更多
39 soil samples surrounding a lead-zinc mining area in Guangxi were collected,and the contents of Pb,Hg,Cd,Cr,As,Cu,Zn,and Ni were determined to investigate the pollution characteristics and sources of heavy metals.Ar...39 soil samples surrounding a lead-zinc mining area in Guangxi were collected,and the contents of Pb,Hg,Cd,Cr,As,Cu,Zn,and Ni were determined to investigate the pollution characteristics and sources of heavy metals.ArcGIS inverse distance weight difference method was used to analyze the characteristics of pollution distribution,and single-factor pollution index,Nemerow comprehensive pollution index,ground accumulation index,and potential ecological risk index were selected to evaluate the characteristics of heavy metal pollution.Based on correlation analysis,the absolute principal component-multiple linear regression(APCS-MLR)and positive definite matrix factorization(PMF)models were used to analyze the sources of soil heavy metals.The results showed that the average concentrations of all eight heavy metals exceeded both national and Guangxi soil background values.Hg,Cd,and Zn exhibited high variation(greater than 0.5),indicating significant external disturbances,and their spatial distribution was closely related to mining activity locations.The single-factor pollution index evaluation indicated varying degrees of pollution risk for Cd,Zn,and As,with Cd and Zn being the most severe pollutants,as 69.23%and 30.77%of the samples fell into the moderate pollution or higher category.The geoaccumulation index analysis ranked the mean pollution levels of the eight elements as follows:Zn>Cd>Ni>Pb>Cu>Cr>Hg>As,with Cd and Zn showing the most severe contamination,and 51.28%of the samples exhibiting moderate or higher pollution levels.The Nemerow comprehensive pollution index evaluation showed that 74.35%of soil samples were classified as moderate to heavy pollution.The potential ecological risk index assessment indicated significant ecological risks posed by Cd and Zn,with 82.05%and 5.12%of the samples classified as causing strong to extreme ecological risks,respectively.The source apportionment analysis revealed minor differences between the two models.The APCS-MLR model identified three pollution sources and their contribution rates:anthropogenic mining sources(31.13%),parent material sources(40.38%),and unidentified sources(28.49%).The PMF model identified three pollution sources with contribution rates of anthropogenic mining sources(26.10%),parent material sources(46.96%),and a combined traffic and agricultural source(26.61%).Pb,Hg,Cd,and Zn mainly originated from mining activities;Cr,As,and Ni were primarily derived from the parent material,while Cu was predominantly attributed to traffic and agricultural sources.These findings provide a scientific basis for the prevention and control of heavy metal pollution in mining areas.展开更多
The rapid development of information technology and accelerated digitalization have led to an explosive growth of data across various fields.As a key technology for knowledge representation and sharing,knowledge graph...The rapid development of information technology and accelerated digitalization have led to an explosive growth of data across various fields.As a key technology for knowledge representation and sharing,knowledge graphs play a crucial role by constructing structured networks of relationships among entities.However,data sparsity and numerous unexplored implicit relations result in the widespread incompleteness of knowledge graphs.In static knowledge graph completion,most existing methods rely on linear operations or simple interaction mechanisms for triple encoding,making it difficult to fully capture the deep semantic associations between entities and relations.Moreover,many methods focus only on the local information of individual triples,ignoring the rich semantic dependencies embedded in the neighboring nodes of entities within the graph structure,which leads to incomplete embedding representations.To address these challenges,we propose Two-Stage Mixer Embedding(TSMixerE),a static knowledge graph completion method based on entity context.In the unit semantic extraction stage,TSMixerE leveragesmulti-scale circular convolution to capture local features atmultiple granularities,enhancing the flexibility and robustness of feature interactions.A channel attention mechanism amplifies key channel responses to suppress noise and irrelevant information,thereby improving the discriminative power and semantic depth of feature representations.For contextual information fusion,a multi-layer self-attentionmechanism enables deep interactions among contextual cues,effectively integrating local details with global context.Simultaneously,type embeddings clarify the semantic identities and roles of each component,enhancing the model’s sensitivity and fusion capabilities for diverse information sources.Furthermore,TSMixerE constructs contextual unit sequences for entities,fully exploring neighborhood information within the graph structure to model complex semantic dependencies,thus improving the completeness and generalization of embedding representations.展开更多
Distributed Denial-of-Service(DDoS)attacks pose severe threats to Industrial Control Networks(ICNs),where service disruption can cause significant economic losses and operational risks.Existing signature-based methods...Distributed Denial-of-Service(DDoS)attacks pose severe threats to Industrial Control Networks(ICNs),where service disruption can cause significant economic losses and operational risks.Existing signature-based methods are ineffective against novel attacks,and traditional machine learning models struggle to capture the complex temporal dependencies and dynamic traffic patterns inherent in ICN environments.To address these challenges,this study proposes a deep feature-driven hybrid framework that integrates Transformer,BiLSTM,and KNN to achieve accurate and robust DDoS detection.The Transformer component extracts global temporal dependencies from network traffic flows,while BiLSTM captures fine-grained sequential dynamics.The learned embeddings are then classified using an instance-based KNN layer,enhancing decision boundary precision.This cascaded architecture balances feature abstraction and locality preservation,improving both generalization and robustness.The proposed approach was evaluated on a newly collected real-time ICN traffic dataset and further validated using the public CIC-IDS2017 and Edge-IIoT datasets to demonstrate generalization.Comprehensive metrics including accuracy,precision,recall,F1-score,ROC-AUC,PR-AUC,false positive rate(FPR),and detection latency were employed.Results show that the hybrid framework achieves 98.42%accuracy with an ROC-AUC of 0.992 and FPR below 1%,outperforming baseline machine learning and deep learning models.Robustness experiments under Gaussian noise perturbations confirmed stable performance with less than 2%accuracy degradation.Moreover,detection latency remained below 2.1 ms per sample,indicating suitability for real-time ICS deployment.In summary,the proposed hybrid temporal learning and instance-based classification model offers a scalable and effective solution for DDoS detection in industrial control environments.By combining global contextual modeling,sequential learning,and instance-based refinement,the framework demonstrates strong adaptability across datasets and resilience against noise,providing practical utility for safeguarding critical infrastructure.展开更多
N6-methyladenosine(m^(6)A)modification,the most abundant internal modification in messenger RNA(mRNA)and long non-coding RNA(lncRNA),has emerged as a critical epitranscriptomic regulatory mechanism in eukaryotes.While...N6-methyladenosine(m^(6)A)modification,the most abundant internal modification in messenger RNA(mRNA)and long non-coding RNA(lncRNA),has emerged as a critical epitranscriptomic regulatory mechanism in eukaryotes.While the importance of m^(6)A modification in various biological processes has been recognized,a comprehensive understanding of its diverse roles in plant biology and agricultural applications remains fragmented.This review analyzes recent advances inm^(6)A modification's biological functions in plants.m^(6)A modification plays crucial roles in multiple aspects of plant life,including seed germination,organ development,and reproductive structure formation.Furthermore,m^(6)A has been found to significantly influence plant responses to environmental stresses,including salt,drought,temperature,and heavy metal exposure.We also uncover m^(6)A involvement in important agricultural traits.This review provides insights into the mechanistic understanding of m^(6)A modification in plants and highlights its applications in agricultural improvement,offering a foundation for future research in crop enhancement and stress resistance.展开更多
BACKGROUND Chronic atrophic gastritis(CAG)is a clinically refractory gastric disease often characterized by high recurrence rates and adverse drug reactions.Anwei decoction(AWD),a traditional Chinese medicine formula,...BACKGROUND Chronic atrophic gastritis(CAG)is a clinically refractory gastric disease often characterized by high recurrence rates and adverse drug reactions.Anwei decoction(AWD),a traditional Chinese medicine formula,has been shown to significantly improve clinical symptoms in patients with CAG,as demonstrated by a multicenter cohort study(overall effective rate:82.5%,P<0.01).However,the unclear molecular mechanisms and therapeutic targets of AWD limit its international acceptance.AIM To investigate the therapeutic mechanisms of AWD against CAG from an integrated perspective.METHODS In this study,N-methyl-N’-nitro-N-nitrosoguanidine was used to establish a CAG rat model.Serum-derived constituents transferred from AWD were first identified using ultra-high-performance liquid chromatography coupled with tandem mass spectrometry.The concentrations of inflammatory cytokines in serum samples were determined by enzyme-linked immunosorbent assay.Moreover,gastric mucosal tissues were analyzed by quantitative realtime polymerase chain reaction to measure messenger RNA(mRNA)levels of the NLRP3 inflammasome.Western blotting was used to detect the protein expression of NLRP3,caspase-1,and interleukin(IL)-1β.To elucidate the regulatory mechanisms underlying AWD treatment,structural alterations of the gut microbiota(GM)and associated metabolites were analyzed using integrated high-throughput sequencing(16S rRNA)and liquid chromatography-mass spectrometry based untargeted metabolomics.This comprehensive approach systematically clarified AWD’s multi-target therapeutic mechanisms against CAG.RESULTS AWD notably reduced serum levels of pro-inflammatory cytokines,such as IL-1β,IL-18,tumor necrosis factor-α,and lipopolysaccharide,demonstrating significant statistical differences(all P<0.01).Additionally,AWD substantially inhibited NLRP3 mRNA expression in gastric mucosal tissue(P<0.01)and concurrently decreased the protein abundance of NLRP3,IL-1β,and caspase-1(all P<0.01),thereby suppressing inflammasome signaling activation.GM analysis indicated that AWD intervention significantly increased the relative abundance of beneficial bacteria.Associated microbial metabolites likely inhibited the NLRP3 inflammasome pathway by modulating immune cell function.Non-targeted metabolomics further indicated that AWD exerted anti-inflammatory effects by regulating critical metabolic pathways,including the Kaposi’s sarcoma-associated herpesvirus infection pathway,autophagy processes,and glycosylphosphatidylinositol-anchor biosynthesis.CONCLUSION AWD alleviates the pathological progression of CAG through multi-target synergistic mechanisms.On one hand,AWD directly suppresses gastric mucosal inflammation by inhibiting NLRP3 inflammasome activation.On the other hand,AWD remodels intestinal microbiota-metabolite homeostasis,enhances intestinal barrier function,and regulates mucosal immune responses.展开更多
Objectives:Non-suicidal self-injury(NSSI)represents a prominent and escalating concern within mental health,associated with considerable psychological and physical dangers.Peer victimization is identified as a signifi...Objectives:Non-suicidal self-injury(NSSI)represents a prominent and escalating concern within mental health,associated with considerable psychological and physical dangers.Peer victimization is identified as a significant predictor of NSSI behavior.Although prior research has explored the association between peer victimization and NSSI,the mechanisms underlying this relationship remain insufficiently understood.Utilizing social information processing theory frameworks,the present study seeks to examine the sequential mediating roles of a cognitive factor,future orientation,and a behavioral factor,social withdrawal,in middle school students.Methods:A cross-sectional survey was administered in China,involving 528 participants(261 females and 267 males;Meanage=13.71,standard deviation[SD]=0.93).Participants completed self-report measures assessing peer victimization via the Delaware Bullying Victimization Scale-Student Version,NSSI via the Adolescents Self-Harm Scale,future orientation via the Adolescent Future Orientation Questionnaire,and social withdrawal via the Social Withdrawal Questionnaire.Results:Findings indicated a significant positive correlation between peer victimization and NSSI(r=0.30,p<0.01).Additionally,future orientation and social withdrawal functioned as serial mediators,with an indirect effect of 0.01(95%CI:[0.01,0.02]),representing 2.70%of the total effect(𝛽=0.37,95%CI:[0.25,0.47]).Conclusions:The findings endorse a theoretical framework in which negative future outlook and social withdrawal are sequentially linked within the relationship between peer victimization and NSSI.Although the serial indirect effect observed is modest,it delineates a distinct associative pattern that characterizes adolescents subjected to victimization.These results carry practical significance for school-based intervention programs,indicating that targeting future perspectives and social connections may enhance strategies for preventing NSSI.展开更多
Strategically coupling nanoparticle hybrids and internal thermosensitive molecular switches establishes an innovative paradigm for constructing micro/nanoscale-reconfigurable robots,facilitating energyefficient CO_(2)...Strategically coupling nanoparticle hybrids and internal thermosensitive molecular switches establishes an innovative paradigm for constructing micro/nanoscale-reconfigurable robots,facilitating energyefficient CO_(2) management in life-support systems of confined space.Here,a micro/nano-reconfigurable robot is constructed from the CO_(2) molecular hunters,temperature-sensitive molecular switch,solar photothermal conversion,and magnetically-driven function engines.The molecular hunters within the molecular extension state can capture 6.19 mmol g^(−1) of CO_(2) to form carbamic acid and ammonium bicarbonate.Interestingly,the molecular switch of the robot activates a molecular curling state that facilitates CO_(2) release through nano-reconfiguration,which is mediated by the temperature-sensitive curling of Pluronic F127 molecular chains during the photothermal desorption.Nano-reconfiguration of robot alters the amino microenvironment,including increasing surface electrostatic potential of the amino group and decreasing overall lowest unoccupied molecular orbital energy level.This weakened the nucleophilic attack ability of the amino group toward the adsorption product derivatives,thereby inhibiting the side reactions that generate hard-to-decompose urea structures,achieving the lowest regeneration temperature of 55℃ reported to date.The engine of the robot possesses non-contact magnetically-driven micro-reconfiguration capability to achieve efficient photothermal regeneration while avoiding local overheating.Notably,the robot successfully prolonged the survival time of mice in the sealed container by up to 54.61%,effectively addressing the issue of carbon suffocation in confined spaces.This work significantly enhances life-support systems for deep-space exploration,while stimulating innovations in sustainable carbon management technologies for terrestrial extreme environments.展开更多
Albeit notable endeavors in the construction of organophosphorodithioates,the direct catalytic enantioselective synthesis of organophosphorodithioates still stands for a long-lasting challenge.Herein,an efficient orga...Albeit notable endeavors in the construction of organophosphorodithioates,the direct catalytic enantioselective synthesis of organophosphorodithioates still stands for a long-lasting challenge.Herein,an efficient organocatalytic enantioselective nucleophilic addition of vinylidene ortho-quinone methide with phosphinothioic thioanhydride as nucleophilic reagent has been achieved by the dual catalysis of cinchona alkaloid-derived squaramide and 4-dimethylaminopyridine.This protocol provides a straightforward approach for accessing a variety of axially chiral phosphorodithiolated styrenes in good yields(up to 98 %yield) with high stereoselectivities(up to 97 % ee and >99:1 E/Z).展开更多
Background:In the Chinese context,the impact of short video applications on the psychological well-being of older adults is contested.While often examined through a pathological lens of addiction,this perspective may ...Background:In the Chinese context,the impact of short video applications on the psychological well-being of older adults is contested.While often examined through a pathological lens of addiction,this perspective may overlook paradoxical,context-dependent positive outcomes.Therefore,the main objective of this study is to challenge the traditional Compensatory Internet Use Theory by proposing and testing a chained mediation model that explores a paradoxical pathway from social support to life satisfaction via problematic social media use.Methods:Data were collected between July and August 2025 via the Credamo online survey platform,yielding 384 valid responses from Chinese older adults aged 60 and above.Key constructs were assessed using the Social Support Rating Scale(SSRS),Bergen Social Media Addiction Scale(BSMAS),Simplified UCLA Loneliness Scale,and Satisfaction with Life Scale(SWLS).A chained mediation model was tested using stepwise regression and non-parametric bootstrapping(5000 resamples),controlling for age,gender,household income,and health status.Results:The analysis revealed a paradoxical pathway,which was clarified by a key statistical suppression effect.Social support significantly and positively predicted problematic usage(β=0.157,p=0.002).After controlling for the suppressor effect of social support,problematic usage in turn negatively predicted social connectedness(β=−0.177,p<0.001).Finally,reduced social connectedness—reflecting a state of solitude—positively predicted life satisfaction(β=−0.227,p<0.001).Conclusion:The findings suggest that for older adults with sufficient offline social support,these resources may serve a“social empowerment”function.This empowerment allows behaviors measured as“problematic usage”to be theoretically reframed as a form of“deep immersive entertainment”.This immersion appears to occur alongside a state of“high-quality solitude”,which ultimately is associated with higher life satisfaction.This study provides a novel,non-pathological theoretical perspective on the consequences of high engagement with emerging social media,offering empirical grounds for non-abstinence-based intervention strategies.展开更多
Understanding the deterioration behaviors and mechanisms of rocks under thermo-hydromechanical(THM)interactions is crucial for mitigating slope instability.In this study,the physicomechanical properties of silty mudst...Understanding the deterioration behaviors and mechanisms of rocks under thermo-hydromechanical(THM)interactions is crucial for mitigating slope instability.In this study,the physicomechanical properties of silty mudstone subjected to THM interactions were investigated by triaxial tests.The underlying micro-mechanisms were revealed using microscopic tests.The triaxial test results indicate that the strength parameters of silty mudstone decrease by 89.50%(deformation modulus),78.15%(peak strength),70.58%(cohesion),and 48.65%(friction angle)under 16 THM cycles,a load of 300 kPa,and alternating between 0℃water immersion and 60℃drying.The SEM test results indicate that the deterioration of silty mudstone strength primarily results from hydrothermal-expansion softening and cracking driven by the TLHM interactions.The specimens manifest shear failure under confining pressure exceeding 140 kPa.Furthermore,a new constitutive model considering hydrothermalexpansion strain and non-linear deformation characteristics was developed.The discrepancy between the experimentally measured peak strength and the damage constitutive model prediction remains below 5%.The proposed model is verified to be in satisfactory agreement with the experimental results.The self-designed THM apparatus overcomes the limitations of traditional investigations,enabling simultaneous consideration of thermal,hydraulic,and mechanical interactions.展开更多
Effective partitioning is crucial for enabling parallel restoration of power systems after blackouts.This paper proposes a novel partitioning method based on deep reinforcement learning.First,the partitioning decision...Effective partitioning is crucial for enabling parallel restoration of power systems after blackouts.This paper proposes a novel partitioning method based on deep reinforcement learning.First,the partitioning decision process is formulated as a Markov decision process(MDP)model to maximize the modularity.Corresponding key partitioning constraints on parallel restoration are considered.Second,based on the partitioning objective and constraints,the reward function of the partitioning MDP model is set by adopting a relative deviation normalization scheme to reduce mutual interference between the reward and penalty in the reward function.The soft bonus scaling mechanism is introduced to mitigate overestimation caused by abrupt jumps in the reward.Then,the deep Q network method is applied to solve the partitioning MDP model and generate partitioning schemes.Two experience replay buffers are employed to speed up the training process of the method.Finally,case studies on the IEEE 39-bus test system demonstrate that the proposed method can generate a high-modularity partitioning result that meets all key partitioning constraints,thereby improving the parallelism and reliability of the restoration process.Moreover,simulation results demonstrate that an appropriate discount factor is crucial for ensuring both the convergence speed and the stability of the partitioning training.展开更多
Atherosclerosis,characterized by the formation of fibrofatty lesions in the arterial wall,remains a leading cause of global morbidity and mortality.Emerging evidence highlights the critical regulatory roles of long no...Atherosclerosis,characterized by the formation of fibrofatty lesions in the arterial wall,remains a leading cause of global morbidity and mortality.Emerging evidence highlights the critical regulatory roles of long non-coding RNAs(lncRNAs)and microRNAs(miRNAs)in atherogenesis.LncRNAs can function as competing endogenous RNAs(ceRNAs)by sponging miRNAs,thereby modulating the expression of downstream target mRNAs.This review summarizes current knowledge on lncRNA-miRNA-mRNA regulatory networks and their functional roles in the three major cell types involved in atherosclerotic plaque development:endothelial cells(ECs),vascular smooth muscle cells(VSMCs),and macrophages.In ECs,these networks are implicated in inflammation,apoptosis,proliferation,angiogenesis,pyroptosis,and autophagy.In VSMCs,they regulate proliferation,apoptosis,and migration.In macrophages,they influence lipid metabolism,inflammatory responses,oxidative stress,and autophagy.Although the ceRNA mechanism is predominant,some lncRNAs also act as primary transcripts for miRNAs.Additionally,exosome-mediated non-coding RNA delivery mediates intercellular crosstalk,further expanding the complexity of RNA-based regulation in atherosclerosis.Despite significant progress,challenges remain due to the complexity and context-specificity of these networks.Further research is essential to elucidate these mechanisms and explore their potential as therapeutic targets for atherosclerosis.展开更多
基金Special Project for Innovation and Entrepreneurship Education in Higher Education Institutions for 2023 in the"14 th Five-year"Plan of Guangxi Education Science(2023ZJY1860).
文摘After the release of the No.1 central document in 2021,the process of rural revitalization has accelerated.In this context,the construction of agricultural industry brands has become a key measure to promote regional agricultural development and achieve rural economic prosperity.In this paper,Xixiangtang District in Nanning City is taken as the research object,and the paths and countermeasures of local universities in Guangxi to assist in the construction of regional agricultural industry brands are deeply analyzed.By analyzing the current situation of characteristic agricultural brand construction in Nanning City and Xixiangtang District,it is found that there are problems such as insufficient exploration of characteristic agricultural brands and regional cultural characteristics,insufficient support for agricultural industry production entities,needing to strengthen government guidance services,and insufficient utilization of scientific and technological research and development advantages.In response to this,assistance countermeasures and suggestions for local universities in Guangxi are proposed in building regional public brands for agricultural products,improving the modern agricultural industry service system,providing technical support and talent cultivation,promoting the development of characteristic agricultural industries through scientific research institution and enterprise linkage,and assisting enterprises in expanding sales channels in all aspects.
文摘To investigate therelationship between sarcopenia and vital capacity(VC)in older adults in Nanning by investigating their humanbody composition and VC.A total of 355 middle-aged and elderly people(male 86,female 269)in Nanning wererandomly selected,their VC and body composition were measured by using the vital capacity tester and bodycomposition analyzer.①VC,BMI,skeletal muscle mass index(SMI)of male were higher than those of female,but the fat mass(FM)and body fat rate(BF%)were lower than that of female.②The VC in the male sarcopeniagroup was lower than that of the control group.③BMI and systemic muscle mass(SMM)in the male and femalesarcopenia group were lower than those in the control group,and the FM and trunk muscle mass(TMM)in thefemale group were lower than those in the control group.
文摘The researcher aims to examine the impact of destination image of Nanning Garden Expo on tourist willingness to revisit.In this study,Nanning Garden Expo,a famous comprehensive park in Nanning,Guangxi,is selected as the research object.Based on previous literature and theories,the author analyzes and explores the relationship between the destination image of Nanning Garden Expo and tourist willingness to revisit.The research tool is questionnaire and the sample size of the survey data is calculated by Cochrane formula,and the data collection volume is 385.The statistics used in the data analysis are descriptive statistics including frequency distribution,percentage,mean,standard deviation,and inferential statistic for testing hypothesis.The researcher applies multiple regression analysis models to examine which independent variables have strong or weak relationships with dependent variables.Hypothesis test indicates that destination image has a significant positive impact on tourist willingness to revisit.Based on the results of the empirical study,relevant suggestions are proposed for how to enhance tourist willingness to revisit for Nanning Garden Expo and promote the healthy and sustainable development of tourism.
基金supported by the National Natural Science Foundation of China(Nos.91544224,41275126)the Ministry of Science&Technology of China(No.2012YQ220113-4)+1 种基金the Ministry of Environmental Protection of China(No.201409008)the Science&Technology Commission of Shanghai Municipality(No.14DZ1202900)
文摘Time-resolved single-particle measurements were conducted during Chinese New Year in Nanning, China. Firework displays resulted in a burst of SO2, coarse mode, and accumulation mode （100-500 nm） particles. Through single particle mass spectrometry analysis, five different types of particles （fireworks-metal, ash, dust, organic carbon-sulfate （OC-sulfate）, biomass burning） with different size distributions were identified as primary emissions from firework displays. The fireworks-related particles accounted for more than 70% of the total analyzed particles during severe firework detonations. The formation of secondary particulate sulfate and nitrate during firework events was investigated on single particle level. An increase of sulfite peak （80SO3） followed by an increase of sulfate peaks （97HSO7＋96SO7） in the mass spectra during firework displays indicated the aqueous uptake and oxidation of SO2 on particles. High concentration of gaseous SO2, high relative humidity and high particle loading likely promoted SO2 oxidation. Secondary nitrate formed through gas-phase oxidation of NO2 to nitric acid, followed by the condensation into particles as ammonium nitrate. This study shows that under worm, humid conditions, both primary and secondary aerosols contribute to the particulate air pollution during firework displays.
基金Fundamental Research Fund of Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region(Gui Mu Yan Ke 2019-08).
文摘[Objectives]The development of Guangxi Debao pony is very slow,and its quantity and quality have dropped sharply.In order to reduce the deterioration of breeds and the loss of excellent genetic stallions,this study was conducted.[Methods]Modern biological reproduction technology was adopted to protect,breed,develop,purify and rejuvenate the germplasm resources of Debao pony,and a conservation farm was constructed for Debao pony to speed up the development of the industrialization of ponies.[Results]Debao pony is characterized with strong disease resistance and strong adaptability to other places,and the growth indicators are basically consistent with the origin,which is conducive to market promotion.[Conclusions]The start of Guangxi Debao pony ex-situ conservation project will accelerate the development of pony industrialization,and it has particularly important practical significance.
基金Scientific Research and Technological Development ProgramProject of Nanning City(201102078C)
文摘According to spatial distribution of climate disasters in Nanning City and physiological and ecological indicator demands of sugarcane,with the aid of HJ- 1 CCD satellite remote sensing images,basic meteorological data and geographic information data,this paper established the model for predicting climatic yield of sugarcane in Nanning City,to predict total yield of sugarcane in Nanning City. Results indicated that the distribution of sugarcane in Nanning City is greatly influenced by drought. In 2010,regions suffered from drought had sugarcane planting area of 346. 20 km2,accounting for 18.88% of the total sugarcane planting area. The influence of frost disaster on distribution of sugarcane in Nanning City is limited. Regions suffered from frost had sugarcane planting area of only 67. 1 km2,taking up 3.75% of the total sugarcane planting area. In 2010,the climatic yield of sugarcane in Nanning City was 8. 8446 million tons. It proved that the prediction accuracy of the model is up to 90%.
基金Supported by the Twelfth Five Year Plan of Guangxi Philosophy and Social Science 2011 Program " Principal-agent Relation of Public Goods Investment ProjectConstruction of Performance Evaluation System-A Case Study on Nanning Urban Environmental Improvement Project"
文摘Based on derivation of permanent income hypothesis(PIH),the conflict is analyzed between expected profitability of migrants and government policy in resettlement project.Government has provided compensation for relevant building and land losses,but farmers are still unwilling to dismantle and move.On the contrary,it results in more serious social problems.The implementation and effect of resettlement policy is analyzed with ADB-funded Nanning Qingxiu Mountain Resettlement Project as an example.Finally,following suggestions are put forward for promoting sustainable development of resettlement:change ideas of resettlement to promote establishment of civil rights protection ideas;carry out early survey to protect rights and interests of owners and migrants;communicate with migrants to ensure their smooth appeal channel;and enhance coordination work with government department to ensure smooth completion of resettlement.
文摘The rate of respiratory allergic diseases is high. Statitics show that with the people in the United States, the rate of the diseases caused by pollen grains alone is as high as 10％. The rate of the asthmatic bronchitis is 5％ and it often causes complications. The health and work of people have been highly impaired. Pollen grains are the main aspiratory allergens in atmosphere. Therefore, to effectively prevent, diagnose and cure respiratory allergic diseases, we should, first of all,
文摘39 soil samples surrounding a lead-zinc mining area in Guangxi were collected,and the contents of Pb,Hg,Cd,Cr,As,Cu,Zn,and Ni were determined to investigate the pollution characteristics and sources of heavy metals.ArcGIS inverse distance weight difference method was used to analyze the characteristics of pollution distribution,and single-factor pollution index,Nemerow comprehensive pollution index,ground accumulation index,and potential ecological risk index were selected to evaluate the characteristics of heavy metal pollution.Based on correlation analysis,the absolute principal component-multiple linear regression(APCS-MLR)and positive definite matrix factorization(PMF)models were used to analyze the sources of soil heavy metals.The results showed that the average concentrations of all eight heavy metals exceeded both national and Guangxi soil background values.Hg,Cd,and Zn exhibited high variation(greater than 0.5),indicating significant external disturbances,and their spatial distribution was closely related to mining activity locations.The single-factor pollution index evaluation indicated varying degrees of pollution risk for Cd,Zn,and As,with Cd and Zn being the most severe pollutants,as 69.23%and 30.77%of the samples fell into the moderate pollution or higher category.The geoaccumulation index analysis ranked the mean pollution levels of the eight elements as follows:Zn>Cd>Ni>Pb>Cu>Cr>Hg>As,with Cd and Zn showing the most severe contamination,and 51.28%of the samples exhibiting moderate or higher pollution levels.The Nemerow comprehensive pollution index evaluation showed that 74.35%of soil samples were classified as moderate to heavy pollution.The potential ecological risk index assessment indicated significant ecological risks posed by Cd and Zn,with 82.05%and 5.12%of the samples classified as causing strong to extreme ecological risks,respectively.The source apportionment analysis revealed minor differences between the two models.The APCS-MLR model identified three pollution sources and their contribution rates:anthropogenic mining sources(31.13%),parent material sources(40.38%),and unidentified sources(28.49%).The PMF model identified three pollution sources with contribution rates of anthropogenic mining sources(26.10%),parent material sources(46.96%),and a combined traffic and agricultural source(26.61%).Pb,Hg,Cd,and Zn mainly originated from mining activities;Cr,As,and Ni were primarily derived from the parent material,while Cu was predominantly attributed to traffic and agricultural sources.These findings provide a scientific basis for the prevention and control of heavy metal pollution in mining areas.
基金supported by the National Natural Science Foundation of China(No.62267005)the Chinese Guangxi Natural Science Foundation(No.2023GXNSFAA026493)+1 种基金Guangxi Collaborative Innovation Center ofMulti-Source Information Integration and Intelligent ProcessingGuangxi Academy of Artificial Intelligence.
文摘The rapid development of information technology and accelerated digitalization have led to an explosive growth of data across various fields.As a key technology for knowledge representation and sharing,knowledge graphs play a crucial role by constructing structured networks of relationships among entities.However,data sparsity and numerous unexplored implicit relations result in the widespread incompleteness of knowledge graphs.In static knowledge graph completion,most existing methods rely on linear operations or simple interaction mechanisms for triple encoding,making it difficult to fully capture the deep semantic associations between entities and relations.Moreover,many methods focus only on the local information of individual triples,ignoring the rich semantic dependencies embedded in the neighboring nodes of entities within the graph structure,which leads to incomplete embedding representations.To address these challenges,we propose Two-Stage Mixer Embedding(TSMixerE),a static knowledge graph completion method based on entity context.In the unit semantic extraction stage,TSMixerE leveragesmulti-scale circular convolution to capture local features atmultiple granularities,enhancing the flexibility and robustness of feature interactions.A channel attention mechanism amplifies key channel responses to suppress noise and irrelevant information,thereby improving the discriminative power and semantic depth of feature representations.For contextual information fusion,a multi-layer self-attentionmechanism enables deep interactions among contextual cues,effectively integrating local details with global context.Simultaneously,type embeddings clarify the semantic identities and roles of each component,enhancing the model’s sensitivity and fusion capabilities for diverse information sources.Furthermore,TSMixerE constructs contextual unit sequences for entities,fully exploring neighborhood information within the graph structure to model complex semantic dependencies,thus improving the completeness and generalization of embedding representations.
基金supported by the Extral High Voltage Power Transmission Company,China Southern Power Grid Co.,Ltd.
文摘Distributed Denial-of-Service(DDoS)attacks pose severe threats to Industrial Control Networks(ICNs),where service disruption can cause significant economic losses and operational risks.Existing signature-based methods are ineffective against novel attacks,and traditional machine learning models struggle to capture the complex temporal dependencies and dynamic traffic patterns inherent in ICN environments.To address these challenges,this study proposes a deep feature-driven hybrid framework that integrates Transformer,BiLSTM,and KNN to achieve accurate and robust DDoS detection.The Transformer component extracts global temporal dependencies from network traffic flows,while BiLSTM captures fine-grained sequential dynamics.The learned embeddings are then classified using an instance-based KNN layer,enhancing decision boundary precision.This cascaded architecture balances feature abstraction and locality preservation,improving both generalization and robustness.The proposed approach was evaluated on a newly collected real-time ICN traffic dataset and further validated using the public CIC-IDS2017 and Edge-IIoT datasets to demonstrate generalization.Comprehensive metrics including accuracy,precision,recall,F1-score,ROC-AUC,PR-AUC,false positive rate(FPR),and detection latency were employed.Results show that the hybrid framework achieves 98.42%accuracy with an ROC-AUC of 0.992 and FPR below 1%,outperforming baseline machine learning and deep learning models.Robustness experiments under Gaussian noise perturbations confirmed stable performance with less than 2%accuracy degradation.Moreover,detection latency remained below 2.1 ms per sample,indicating suitability for real-time ICS deployment.In summary,the proposed hybrid temporal learning and instance-based classification model offers a scalable and effective solution for DDoS detection in industrial control environments.By combining global contextual modeling,sequential learning,and instance-based refinement,the framework demonstrates strong adaptability across datasets and resilience against noise,providing practical utility for safeguarding critical infrastructure.
基金supported by the National Nature Science Foundation of China(Grant No.31660568)Guangxi Science and Technology major project(Grant No.GuikeAA22068088)+2 种基金start-up funding for introduced talents in Guangxi University,the Guangxi Colleges and Universities Young and Middle-aged Teachers'Basic Scientific Research Ability Improvement Project(Grant No.2024KY0010)Guangxi Graduate Education Innovation Program(Grant No.YCSW2024093)the Guangxi University Student Innovation and Entrepreneurship Training Program Funding Project(Grant Nos.202310593704,202310593714,202410953044S).
文摘N6-methyladenosine(m^(6)A)modification,the most abundant internal modification in messenger RNA(mRNA)and long non-coding RNA(lncRNA),has emerged as a critical epitranscriptomic regulatory mechanism in eukaryotes.While the importance of m^(6)A modification in various biological processes has been recognized,a comprehensive understanding of its diverse roles in plant biology and agricultural applications remains fragmented.This review analyzes recent advances inm^(6)A modification's biological functions in plants.m^(6)A modification plays crucial roles in multiple aspects of plant life,including seed germination,organ development,and reproductive structure formation.Furthermore,m^(6)A has been found to significantly influence plant responses to environmental stresses,including salt,drought,temperature,and heavy metal exposure.We also uncover m^(6)A involvement in important agricultural traits.This review provides insights into the mechanistic understanding of m^(6)A modification in plants and highlights its applications in agricultural improvement,offering a foundation for future research in crop enhancement and stress resistance.
基金Supported by the National Natural Science Foundation of China,No.81860843Guangxi Administration of Traditional Chinese Medicine Project,No.GZSY23-36 and No.GXZYA20240150。
文摘BACKGROUND Chronic atrophic gastritis(CAG)is a clinically refractory gastric disease often characterized by high recurrence rates and adverse drug reactions.Anwei decoction(AWD),a traditional Chinese medicine formula,has been shown to significantly improve clinical symptoms in patients with CAG,as demonstrated by a multicenter cohort study(overall effective rate:82.5%,P<0.01).However,the unclear molecular mechanisms and therapeutic targets of AWD limit its international acceptance.AIM To investigate the therapeutic mechanisms of AWD against CAG from an integrated perspective.METHODS In this study,N-methyl-N’-nitro-N-nitrosoguanidine was used to establish a CAG rat model.Serum-derived constituents transferred from AWD were first identified using ultra-high-performance liquid chromatography coupled with tandem mass spectrometry.The concentrations of inflammatory cytokines in serum samples were determined by enzyme-linked immunosorbent assay.Moreover,gastric mucosal tissues were analyzed by quantitative realtime polymerase chain reaction to measure messenger RNA(mRNA)levels of the NLRP3 inflammasome.Western blotting was used to detect the protein expression of NLRP3,caspase-1,and interleukin(IL)-1β.To elucidate the regulatory mechanisms underlying AWD treatment,structural alterations of the gut microbiota(GM)and associated metabolites were analyzed using integrated high-throughput sequencing(16S rRNA)and liquid chromatography-mass spectrometry based untargeted metabolomics.This comprehensive approach systematically clarified AWD’s multi-target therapeutic mechanisms against CAG.RESULTS AWD notably reduced serum levels of pro-inflammatory cytokines,such as IL-1β,IL-18,tumor necrosis factor-α,and lipopolysaccharide,demonstrating significant statistical differences(all P<0.01).Additionally,AWD substantially inhibited NLRP3 mRNA expression in gastric mucosal tissue(P<0.01)and concurrently decreased the protein abundance of NLRP3,IL-1β,and caspase-1(all P<0.01),thereby suppressing inflammasome signaling activation.GM analysis indicated that AWD intervention significantly increased the relative abundance of beneficial bacteria.Associated microbial metabolites likely inhibited the NLRP3 inflammasome pathway by modulating immune cell function.Non-targeted metabolomics further indicated that AWD exerted anti-inflammatory effects by regulating critical metabolic pathways,including the Kaposi’s sarcoma-associated herpesvirus infection pathway,autophagy processes,and glycosylphosphatidylinositol-anchor biosynthesis.CONCLUSION AWD alleviates the pathological progression of CAG through multi-target synergistic mechanisms.On one hand,AWD directly suppresses gastric mucosal inflammation by inhibiting NLRP3 inflammasome activation.On the other hand,AWD remodels intestinal microbiota-metabolite homeostasis,enhances intestinal barrier function,and regulates mucosal immune responses.
基金supported by 2024 The Basic Ability Improvement Project for Young and Middle-aged Teachers of Colleges and Universities in Guangxi(No.2024KY0165)2024 Guangxi Minzu University General Research Project(Humanities and Social Sciences Category,No.2024MDSKYB20)2022 Annual Teaching and Research Project of Shiyuan College of Nanning Normal University(No.2022JY13).
文摘Objectives:Non-suicidal self-injury(NSSI)represents a prominent and escalating concern within mental health,associated with considerable psychological and physical dangers.Peer victimization is identified as a significant predictor of NSSI behavior.Although prior research has explored the association between peer victimization and NSSI,the mechanisms underlying this relationship remain insufficiently understood.Utilizing social information processing theory frameworks,the present study seeks to examine the sequential mediating roles of a cognitive factor,future orientation,and a behavioral factor,social withdrawal,in middle school students.Methods:A cross-sectional survey was administered in China,involving 528 participants(261 females and 267 males;Meanage=13.71,standard deviation[SD]=0.93).Participants completed self-report measures assessing peer victimization via the Delaware Bullying Victimization Scale-Student Version,NSSI via the Adolescents Self-Harm Scale,future orientation via the Adolescent Future Orientation Questionnaire,and social withdrawal via the Social Withdrawal Questionnaire.Results:Findings indicated a significant positive correlation between peer victimization and NSSI(r=0.30,p<0.01).Additionally,future orientation and social withdrawal functioned as serial mediators,with an indirect effect of 0.01(95%CI:[0.01,0.02]),representing 2.70%of the total effect(𝛽=0.37,95%CI:[0.25,0.47]).Conclusions:The findings endorse a theoretical framework in which negative future outlook and social withdrawal are sequentially linked within the relationship between peer victimization and NSSI.Although the serial indirect effect observed is modest,it delineates a distinct associative pattern that characterizes adolescents subjected to victimization.These results carry practical significance for school-based intervention programs,indicating that targeting future perspectives and social connections may enhance strategies for preventing NSSI.
基金supported by the National Natural Science Foundation of China(22168008,22378085)the Guangxi Natural Science Foundation(2024GXNSFDA010053)+1 种基金the Technology Development Project of Guangxi Bossco Environmental Protection Technology Co.,Ltd(202100039)Innovation Project of Guangxi Graduate Education(YCBZ2024065).
文摘Strategically coupling nanoparticle hybrids and internal thermosensitive molecular switches establishes an innovative paradigm for constructing micro/nanoscale-reconfigurable robots,facilitating energyefficient CO_(2) management in life-support systems of confined space.Here,a micro/nano-reconfigurable robot is constructed from the CO_(2) molecular hunters,temperature-sensitive molecular switch,solar photothermal conversion,and magnetically-driven function engines.The molecular hunters within the molecular extension state can capture 6.19 mmol g^(−1) of CO_(2) to form carbamic acid and ammonium bicarbonate.Interestingly,the molecular switch of the robot activates a molecular curling state that facilitates CO_(2) release through nano-reconfiguration,which is mediated by the temperature-sensitive curling of Pluronic F127 molecular chains during the photothermal desorption.Nano-reconfiguration of robot alters the amino microenvironment,including increasing surface electrostatic potential of the amino group and decreasing overall lowest unoccupied molecular orbital energy level.This weakened the nucleophilic attack ability of the amino group toward the adsorption product derivatives,thereby inhibiting the side reactions that generate hard-to-decompose urea structures,achieving the lowest regeneration temperature of 55℃ reported to date.The engine of the robot possesses non-contact magnetically-driven micro-reconfiguration capability to achieve efficient photothermal regeneration while avoiding local overheating.Notably,the robot successfully prolonged the survival time of mice in the sealed container by up to 54.61%,effectively addressing the issue of carbon suffocation in confined spaces.This work significantly enhances life-support systems for deep-space exploration,while stimulating innovations in sustainable carbon management technologies for terrestrial extreme environments.
基金financial support from Natural Science Foundation of China (No.22161005)Guangxi Natural Science Foundation (Nos.2021GXNSFDA075005,2024GXNSFFA010001)。
文摘Albeit notable endeavors in the construction of organophosphorodithioates,the direct catalytic enantioselective synthesis of organophosphorodithioates still stands for a long-lasting challenge.Herein,an efficient organocatalytic enantioselective nucleophilic addition of vinylidene ortho-quinone methide with phosphinothioic thioanhydride as nucleophilic reagent has been achieved by the dual catalysis of cinchona alkaloid-derived squaramide and 4-dimethylaminopyridine.This protocol provides a straightforward approach for accessing a variety of axially chiral phosphorodithiolated styrenes in good yields(up to 98 %yield) with high stereoselectivities(up to 97 % ee and >99:1 E/Z).
基金funded by the Guangxi Philosophy and Social Science Research Project,grant number 24XWC002.
文摘Background:In the Chinese context,the impact of short video applications on the psychological well-being of older adults is contested.While often examined through a pathological lens of addiction,this perspective may overlook paradoxical,context-dependent positive outcomes.Therefore,the main objective of this study is to challenge the traditional Compensatory Internet Use Theory by proposing and testing a chained mediation model that explores a paradoxical pathway from social support to life satisfaction via problematic social media use.Methods:Data were collected between July and August 2025 via the Credamo online survey platform,yielding 384 valid responses from Chinese older adults aged 60 and above.Key constructs were assessed using the Social Support Rating Scale(SSRS),Bergen Social Media Addiction Scale(BSMAS),Simplified UCLA Loneliness Scale,and Satisfaction with Life Scale(SWLS).A chained mediation model was tested using stepwise regression and non-parametric bootstrapping(5000 resamples),controlling for age,gender,household income,and health status.Results:The analysis revealed a paradoxical pathway,which was clarified by a key statistical suppression effect.Social support significantly and positively predicted problematic usage(β=0.157,p=0.002).After controlling for the suppressor effect of social support,problematic usage in turn negatively predicted social connectedness(β=−0.177,p<0.001).Finally,reduced social connectedness—reflecting a state of solitude—positively predicted life satisfaction(β=−0.227,p<0.001).Conclusion:The findings suggest that for older adults with sufficient offline social support,these resources may serve a“social empowerment”function.This empowerment allows behaviors measured as“problematic usage”to be theoretically reframed as a form of“deep immersive entertainment”.This immersion appears to occur alongside a state of“high-quality solitude”,which ultimately is associated with higher life satisfaction.This study provides a novel,non-pathological theoretical perspective on the consequences of high engagement with emerging social media,offering empirical grounds for non-abstinence-based intervention strategies.
基金supported by“the National Natural Science Foundation of China(52378440,52078067,52078066,42477143,52408458)the Key Science and Technology Program in the Transportation Industry(2022-MS1-032,2022-MS5-125)+4 种基金the Natural Science Foundation of Hunan Province(2023JJ10045)the Outstanding Innovative Youth Training Program of Changsha City(kq2305023)Scientific Research Foundation of Hunan Provincial Education Department(24B0292)Water Resources Science and Technology Project of Hunan Province(XSKJ2023059-41)the Guangxi Key Research and Development Program(AB23075184)。
文摘Understanding the deterioration behaviors and mechanisms of rocks under thermo-hydromechanical(THM)interactions is crucial for mitigating slope instability.In this study,the physicomechanical properties of silty mudstone subjected to THM interactions were investigated by triaxial tests.The underlying micro-mechanisms were revealed using microscopic tests.The triaxial test results indicate that the strength parameters of silty mudstone decrease by 89.50%(deformation modulus),78.15%(peak strength),70.58%(cohesion),and 48.65%(friction angle)under 16 THM cycles,a load of 300 kPa,and alternating between 0℃water immersion and 60℃drying.The SEM test results indicate that the deterioration of silty mudstone strength primarily results from hydrothermal-expansion softening and cracking driven by the TLHM interactions.The specimens manifest shear failure under confining pressure exceeding 140 kPa.Furthermore,a new constitutive model considering hydrothermalexpansion strain and non-linear deformation characteristics was developed.The discrepancy between the experimentally measured peak strength and the damage constitutive model prediction remains below 5%.The proposed model is verified to be in satisfactory agreement with the experimental results.The self-designed THM apparatus overcomes the limitations of traditional investigations,enabling simultaneous consideration of thermal,hydraulic,and mechanical interactions.
基金funded by the Beijing Engineering Research Center of Electric Rail Transportation.
文摘Effective partitioning is crucial for enabling parallel restoration of power systems after blackouts.This paper proposes a novel partitioning method based on deep reinforcement learning.First,the partitioning decision process is formulated as a Markov decision process(MDP)model to maximize the modularity.Corresponding key partitioning constraints on parallel restoration are considered.Second,based on the partitioning objective and constraints,the reward function of the partitioning MDP model is set by adopting a relative deviation normalization scheme to reduce mutual interference between the reward and penalty in the reward function.The soft bonus scaling mechanism is introduced to mitigate overestimation caused by abrupt jumps in the reward.Then,the deep Q network method is applied to solve the partitioning MDP model and generate partitioning schemes.Two experience replay buffers are employed to speed up the training process of the method.Finally,case studies on the IEEE 39-bus test system demonstrate that the proposed method can generate a high-modularity partitioning result that meets all key partitioning constraints,thereby improving the parallelism and reliability of the restoration process.Moreover,simulation results demonstrate that an appropriate discount factor is crucial for ensuring both the convergence speed and the stability of the partitioning training.
基金supported by the National Natural Science Foundation of China(No.82360024).
文摘Atherosclerosis,characterized by the formation of fibrofatty lesions in the arterial wall,remains a leading cause of global morbidity and mortality.Emerging evidence highlights the critical regulatory roles of long non-coding RNAs(lncRNAs)and microRNAs(miRNAs)in atherogenesis.LncRNAs can function as competing endogenous RNAs(ceRNAs)by sponging miRNAs,thereby modulating the expression of downstream target mRNAs.This review summarizes current knowledge on lncRNA-miRNA-mRNA regulatory networks and their functional roles in the three major cell types involved in atherosclerotic plaque development:endothelial cells(ECs),vascular smooth muscle cells(VSMCs),and macrophages.In ECs,these networks are implicated in inflammation,apoptosis,proliferation,angiogenesis,pyroptosis,and autophagy.In VSMCs,they regulate proliferation,apoptosis,and migration.In macrophages,they influence lipid metabolism,inflammatory responses,oxidative stress,and autophagy.Although the ceRNA mechanism is predominant,some lncRNAs also act as primary transcripts for miRNAs.Additionally,exosome-mediated non-coding RNA delivery mediates intercellular crosstalk,further expanding the complexity of RNA-based regulation in atherosclerosis.Despite significant progress,challenges remain due to the complexity and context-specificity of these networks.Further research is essential to elucidate these mechanisms and explore their potential as therapeutic targets for atherosclerosis.
