To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Su...To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Survey in 2023,which covers eight major representative cities.The survey collected 9,122 household questionnaires and 26,145 individual questionnaires from 381 neighborhood committees.Based on this data,the report systematically analyzes employment,wages,educational attainment,and social security among China’s urban workforce.Key findings include an inverted U-shaped age pattern of labor force participation,with a widening gender gap after childbearing age.Additionally,job search methods combine market-based channels with traditional social networks.Notably,the gender wage gap persists and widens over the life cycle,while employed women now have higher average years of schooling than men.Rural-to-urban migrants show higher labor force participation rates but remain disadvantaged in wages,education,and social security coverage.Thus,this survey provides a comprehensive picture of the structural characteristics and challenges of China’s urban labor market,providing a solid data foundation for academic research and public policy design.展开更多
Visible light photocatalytic degradation is a promising advanced oxidation process for the removal of antibiotics in wastewater.However,this technology currently has problems that are not suitable for large-scale appl...Visible light photocatalytic degradation is a promising advanced oxidation process for the removal of antibiotics in wastewater.However,this technology currently has problems that are not suitable for large-scale applications,mainly due to the high cost of development and preparation of efficient photocatalysts.Therefore,the preparation of low-cost,high-efficiency and environmentally friendly semiconductor photocatalysts is still a hot research topic.In this study,rare earth metal Ce-doped porous Bi_(2)O_(3)-based biomorphic photocatalysts were prepared by a combination of solvothermal method and tem plate method using natural rapeseed pollen as a green template.Ce/Bi_(2)O_(3) synthesized by the optimal process shows a pollen-shaped porous stru cture with high dispersion and integrity,high purity and large specific surface area.Ce in the catalysts with different doping amounts coexists in two mixed valence states of Ce^(4+)and Ce^(3+),and Ce doping increases the percentage of oxygen vacancies.The higher specific surface area of the catalyst also provides more active sites and reaction surface area.When the doping amount of Ce is 5 mol%,the efficiency of tetracycline hydrochloride(TCH)degradation under visible light can reach more than 96%after 180 min.The rate constant is 6.37 times higher than that of commercially available Bi_(2)O_(3)(CHB).Through the analysis of intermediate products,the possible degradation path of TCH is obtained,and the phenomenon of intermediate accumulation in the initial stage was explored.The prepared photocatalysts have excellent stability and high reusability,and have a large advantage in comprehensive economy.Therefore,this study provides a reference for the preparation of low-cost rare earth metal doped photocatalysts with special morphology for the degradation of antibiotic wastewater.展开更多
Both natural and human-induced disturbances affect the normal functioning and services of mangrove ecosystems.To address the consequences of intense human and climatic disturbances on sedimentation and carbon burial,s...Both natural and human-induced disturbances affect the normal functioning and services of mangrove ecosystems.To address the consequences of intense human and climatic disturbances on sedimentation and carbon burial,sediment cores from the last remaining mangrove Kandelia obovata forest and an adjacent mudflat in the densely populated and typhoon-prone Zhujiang(Pearl)River estuary of China,were analyzed using methods including^(210)Pb dating andδ^(13)C analysis.Results indicate that after damming in the 1950s,during 1960-1980,the natural establishment of K.obovata forests initiated the insitu sedimentation.As these forests matured during 1980-1990,they significantly boosted siltation in the region on mudflat.During 1990-2015,the invasion of Spartina alterniflora and land reclamation for aquaculture caused infiltration of coarse sediments and the impacts of typhoons were recorded within the K.obovata forest,while no clear typhoon record was observed on the mudflat.Since 2015,reforestation efforts with S.apetala that began in 1999 have reversed the effects of earlier deforestation.Over time,mangroves established a rapid autochthonous carbon burial that grew as the forests age,potentially surpassing the influx of allochthonous carbon due to deforestation.The reforestation also immediately improved carbon burial on the mudflat,which stabilized after a decade due to the rapid growth and high biomass of S.apetala.Overall,the K.obovata forest demonstrated a stronger sedimentation and carbon burial capabilities than the mudflat,with a surplus of 35.2 Mg C/hm^(2)in soil organic carbon stock and 1.0 Mg C/(hm^(2)·a)in burial rate.Organic matter dissolved in soil was mainly humus-like components,and mangrove inputs likely increased the degree of humification.This study offered direct evidence regarding the impact of multiple disturbances on local and regional sedimentation and carbon burial,and future management strategies.展开更多
The Guidelines for the Construction of Ideological and Political Education in Courses at Institutions of Higher Learning emphasizes that“the construction of ideological and political education in courses is an import...The Guidelines for the Construction of Ideological and Political Education in Courses at Institutions of Higher Learning emphasizes that“the construction of ideological and political education in courses is an important task for comprehensively improving the quality of talent cultivation”and“clarifying the target requirements and key content of the construction of ideological and political education in courses.”In vocational colleges,as an important discipline in the field of information technology,the construction of ideological and political education in software technology courses is of great significance for cultivating students’comprehensive qualities and establishing correct values.Based on sorting out the core literacy of the construction of ideological and political education in software technology courses,this article actively explores its construction path,hoping to provide references for relevant educators.展开更多
Based on the educational evaluation reform,this study explores the construction of an evidence-based value-added evaluation system based on data-driven,aiming to solve the limitations of traditional evaluation methods...Based on the educational evaluation reform,this study explores the construction of an evidence-based value-added evaluation system based on data-driven,aiming to solve the limitations of traditional evaluation methods.The research adopts the method of combining theoretical analysis and practical application,and designs the evidence-based value-added evaluation framework,which includes the core elements of a multi-source heterogeneous data acquisition and processing system,a value-added evaluation agent based on a large model,and an evaluation implementation and application mechanism.Through empirical research verification,the evaluation system has remarkable effects in improving learning participation,promoting ability development,and supporting teaching decision-making,and provides a theoretical reference and practical path for educational evaluation reform in the new era.The research shows that the evidence-based value-added evaluation system based on data-driven can reflect students’actual progress more fairly and objectively by accurately measuring the difference in starting point and development range of students,and provide strong support for the realization of high-quality education development.展开更多
Value-added evaluation focuses on individual student growth by tracking changes in academic performance,skills,literacy,etc.,at different time points.It weakens horizontal comparisons and emphasizes vertical progress ...Value-added evaluation focuses on individual student growth by tracking changes in academic performance,skills,literacy,etc.,at different time points.It weakens horizontal comparisons and emphasizes vertical progress to more fairly reflect educational effectiveness.This evaluation method is particularly suitable for vocational education,effectively motivating students’learning enthusiasm and enhancing their self-confidence.Foreign research is represented by the Tennessee Value-Added Assessment System(TVAAS),widely used in evaluating school quality and teacher performance.Domestic research currently focuses on the theoretical construction,model establishment,optimization,and practical application of value-added evaluation,still facing significant challenges in data collection comprehensiveness and model adaptability.Aiming at current issues,this study focuses on exploring the application of artificial intelligence large models in student value-added evaluation from an evidence-based perspective,committed to constructing an innovative evidence-based value-added evaluation system.It aims to achieve precise assessment of students’learning effect“net value-added”through multi-source data collection,intelligent analysis,and personalized feedback.The system integrates outcome evaluation,process evaluation,value-added evaluation,and comprehensive evaluation to form a“four-in-one”dynamic evaluation framework,considering students’starting points,process performance,and final achievements.In the future,value-added evaluation needs to further expand the assessment of non-academic dimensions(such as professional literacy and social-emotional skills)and explore the application of non-linear models to promote the deepening and innovation of educational evaluation reform.展开更多
The oral cavity is a complex physiological community encompassing a wide range of microorganisms.Dysbiosis of oral microbiota can lead to various oral infectious diseases,such as periodontitis and tooth decay,and even...The oral cavity is a complex physiological community encompassing a wide range of microorganisms.Dysbiosis of oral microbiota can lead to various oral infectious diseases,such as periodontitis and tooth decay,and even affect systemic health,including brain aging and neurodegenerative diseases.Recent studies have highlighted how oral microbes might be involved in brain aging and neurodegeneration,indicating potential avenues for intervention strategies.In this review,we summarize clinical evidence demonstrating a link between oral microbes/oral infectious diseases and brain aging/neurodegenerative diseases,and dissect potential mechanisms by which oral microbes contribute to brain aging and neurodegeneration.We also highlight advances in therapeutic development grounded in the realm of oral microbes,with the goal of advancing brain health and promoting healthy aging.展开更多
Precision medicine has become a cornerstone in modern therapeutic strategies, with nucleic acid aptamers emerging aspivotal tools due to their unique properties. These oligonucleotide fragments, selected through the S...Precision medicine has become a cornerstone in modern therapeutic strategies, with nucleic acid aptamers emerging aspivotal tools due to their unique properties. These oligonucleotide fragments, selected through the Systematic Evolution ofLigands by Exponential Enrichment process, exhibit high affinity and specificity toward their targets, such as DNA, RNA,proteins, and other biomolecules. Nucleic acid aptamers offer significant advantages over traditional therapeutic agents,including superior biological stability, minimal immunogenicity, and the capacity for universal chemical modifications thatenhance their in vivo performance and targeting precision. In the realm of osseous tissue repair and regeneration, a complexphysiological process essential for maintaining skeletal integrity, aptamers have shown remarkable potential in influencingmolecular pathways crucial for bone regeneration, promoting osteogenic differentiation and supporting osteoblast survival. Byengineering aptamers to regulate inflammatory responses and facilitate the proliferation and differentiation of fibroblasts,these oligonucleotides can be integrated into advanced drug delivery systems, significantly improving bone repair efficacywhile minimizing adverse effects. Aptamer-mediated strategies, including the use of siRNA and miRNA mimics or inhibitors,have shown efficacy in enhancing bone mass and microstructure. These approaches hold transformative potential for treatinga range of orthopedic conditions like osteoporosis, osteosarcoma, and osteoarthritis. This review synthesizes the molecularmechanisms and biological roles of aptamers in orthopedic diseases, emphasizing their potential to drive innovative andeffective therapeutic interventions.展开更多
BACKGROUND Adult-onset Still's disease(AOSD)is a rare autoinflammatory disease charac-terized by nonspecific symptoms such as fever,rash,sore throat and arthralgia.This paper reports a clinical case of AOSD succes...BACKGROUND Adult-onset Still's disease(AOSD)is a rare autoinflammatory disease charac-terized by nonspecific symptoms such as fever,rash,sore throat and arthralgia.This paper reports a clinical case of AOSD successfully treated with Bo’s abdo-minal acupuncture(BAA).CASE SUMMARY We report a 20-year-old man who suffered from cold exposure,presenting with high fever,rash,sore throat,arthralgia,and elevated erythrocyte sedimentation rate,leukocytosis with neutrophilic predominance,elevated ferritin,elevated C-reactive protein,and negative rheumatoid factors.He was diagnosed with AOSD based on the Yamaguchi criteria.After treatment with traditional Chinese medi-cine(TCM)decoction and prednisone acetate tablets,there was some alleviation of sore throat,joint and muscle pain,and fever,but he still had persistent low-grade fever,rash,sore throat and arthralgia.He went to the TCM acupuncture outpatient department to receive BAA.Abdominal acupoints Zhongwan(CV12),Xiawan(CV10),0.5 cm below Xiawan(CV10),Qihai(CV6),Guanyuan(CV4),bilateral Qixue(KI13),bilateral Huaroumen(ST24),bilateral Shangfengshidian(AB1)and bilateral Daheng(SP15)were selected.After 3 months treatment,all symptoms disappeared,and the laboratory examination returned to normal levels.He did not take glucocorticoids or nonsteroidal anti-inflammatory drugs afterwards,and no relapse was observed during the 3-year follow-up period.CONCLUSION BAA can be used as a complementary medical approach for treatment of AOSD.展开更多
With the full implementation and explosion of artificial intelligence big models such as DeepSeek,Doubao and Dream,the business of many traditional industries has been more or less affected.However,with its super data...With the full implementation and explosion of artificial intelligence big models such as DeepSeek,Doubao and Dream,the business of many traditional industries has been more or less affected.However,with its super data processing ability and intelligent analysis ability,it has been warmly welcomed and widely used in the industry,and has also given rise to some innovative changes in the development of various industries.In this wave of artificial intelligence,AI technology is also constantly infiltrating into the field of education and mental health work,and the mental health work of college students is also ushering in new development and opportunities.This study investigates the application of AI technology in college students’psychological work,and analyzes that the application of AI technology can promote the breadth coverage and accuracy of college students’psychological work,and effectively improve the quality and efficiency of college students’mental health work.However,due to the limitations of AI technology’s own data calculation and objective existing data security problems,the application of AI technology can effectively improve the quality and efficiency of college students’mental health work.There may be certain deviations in the actual work process.Based on the above analysis,this paper can be used as a discussion on the application of AI technology in college students’mental health work.展开更多
The management of architectural decoration and renovation technology encompasses multiple aspects,including the implementation of design standards,process flow control,and material quality monitoring.Housing construct...The management of architectural decoration and renovation technology encompasses multiple aspects,including the implementation of design standards,process flow control,and material quality monitoring.Housing construction projects have specific requirements,such as cross-construction,finishing treatment,and finished product protection.The text also introduces BIM deepening design and modular installation techniques.It emphasizes the importance of material management,quality control,and the PDCA cycle,as well as various specialized inspections,smart site management,and mobile terminal applications.Intelligent management is seen as the future direction.展开更多
The weak adsorption energy of oxygen-containing intermediates on Co center leads to a considerable performance dis-parity between Co-N-C and costly Pt benchmark in catalyzing oxygen reduction reaction(ORR).In this wor...The weak adsorption energy of oxygen-containing intermediates on Co center leads to a considerable performance dis-parity between Co-N-C and costly Pt benchmark in catalyzing oxygen reduction reaction(ORR).In this work,we strategi-cally engineer the active site structure of Co-N-C via B substitution,which is accomplished by the pyrolysis of ammonium borate.During this process,the in-situ generated NH_(3)gas plays a critical role in creating surface defects and boron atoms substituting nitrogen atoms in the carbon structure.The well-designed CoB_(1)N_(3)active site endows Co with higher charge density and stronger adsorption energy toward oxygen species,potentially accelerating ORR kinetics.As expected,the resulting Co-B/N-C catalyst exhibited superior ORR performance over Co-N-C counterpart,with 40 mV,and fivefold en-hancement in half-wave potential and turnover frequency(TOF).More importantly,the excellent ORR performance could be translated into membrane electrode assembly(MEA)in a fuel cell test,delivering an impressive peak power density of 824 mW·cm^(-2),which is currently the best among Co-based catalysts under the same conditions.This work not only demon-strates an effective method for designing advanced catalysts,but also affords a highly promising non-precious metal ORR electrocatalyst for fuel cell applications.展开更多
N6-methyladenosine(m^(6)A)modification of mRNA is a critical post-transcriptional regulatory mechanism that modulates mRNA metabolism and neuronal function.The m^(6)A reader YTHDF1 has been shown to enhance the transl...N6-methyladenosine(m^(6)A)modification of mRNA is a critical post-transcriptional regulatory mechanism that modulates mRNA metabolism and neuronal function.The m^(6)A reader YTHDF1 has been shown to enhance the translational efficiency of m^(6)A-modified mRNAs in the brain and is essential for learning and memory.However,its role in the mature retina remains unclear.Herein,we report a novel role of Ythdf1 in the maintenance of retinal function using a genetic knockout model.Loss of Ythdf1 resulted in impaired scotopic electroretinogram(ERG)responses and progressive retinal degeneration.Detailed analyses of rod photoreceptors confirmed substantial degenerative changes in the absence of ciliary defects.Single-cell RNA sequencing revealed comprehensive molecular alterations across all retinal cell types in Ythdf1-deficient retinas.Integrative analysis of methylated RNA immunoprecipitation(MeRIP)sequencing and RIP sequencing identified Tulp1 and Dhx38,two inheritable retinal degeneration disease-associated gene homologs,as direct targets of YTHDF1 in the retina.Specifically,YTHDF1 recognized and bound m^(6)A-modified Tulp1 and Dhx38 mRNA at the coding sequence(CDS),enhancing their translational efficiency without altering mRNA levels.Collectively,these findings highlight the essential role of YTHDF1 in preserving visual function and reveal a novel regulatory mechanism of m^(6)A reader proteins in retinal degeneration,identifying potential therapeutic targets for severe retinopathies.展开更多
In this study,we present a unified sparsity-driven framework that significantly enhances motion deblurring performance by integrating two key components:a custom-designed dataset and a low-rank module(LRM).This framew...In this study,we present a unified sparsity-driven framework that significantly enhances motion deblurring performance by integrating two key components:a custom-designed dataset and a low-rank module(LRM).This framework leverages the inherent sparsity of per-pixel blur kernels to bolster both deblurring accuracy and model interpretability.Firstly,we propose an adaptive-basis decomposition-based deblurring(ADD)approach,which constructs a tailored training dataset to enhance the generalization capacity of the deblurring network.The ADD framework adaptively decomposes motion blur into sparse basis elements,effectively addressing the intricacies associated with non-uniform blurs.Secondly,an LRM is proposed to improve the interpretability of deblurring models as a plug-and-play module,primarily designed to identify and harness the intrinsic sparse features in sharp images.A series of ablation studies have been conducted to substantiate the synergistic advantages of combining the proposed ADD with the LRM for overall improvement in deblurring efficacy.Subsequently,we empirically demonstrate through rigorous experimentation that incorporating the LRM into an existing Uformer network leads to substantial enhancement in reconstruction performance.This integration yields a sparsity-guided low-rank network(SGLRN).Operating under the overarching principle of sparsity,SGLRN consistently outperforms state-of-the-art methods across multiple standard deblurring benchmarks.Comprehensive experimental results,assessed through quantitative metrics and qualitative visual evaluations,provide compelling evidence of its effectiveness.The overall deblurring results are available at Google Drive.展开更多
This study examined the relationship between transformational leadership and employee bootleg innovation through the mediating role of creative self-efficacy and the moderating role of leader-member exchange(LMX).Data...This study examined the relationship between transformational leadership and employee bootleg innovation through the mediating role of creative self-efficacy and the moderating role of leader-member exchange(LMX).Data were collected from 279 employees and 56 matched supervisors within a large Chinese digital transformation group.A moderated mediation model analysis found that transformational leadership predicts higher employee bootleg innovation.Creative self-efficacy mediated the positive relationship between transformational leadership and employee bootleg.Additionally,leader-member exchange significantly moderated the relationship between transformational leadership and creative self-efficacy,for a further enhancement of bootleg innovation.Thesefindings underscore the importance of transformative leadership in fostering digital employee innovation.This study provides further evidence of the relevance of self-determination theory in explaining the leadership and employee innovation,relationship within the context of digital transformation.By implication,creative self-efficacy and leader-member exchange are modifiable factors by digital transformation entities seeking a competitive advantage.展开更多
Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing...Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution control.Here,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel analysis.Additional environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation modeling.At the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA metabarcoding.Inα-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic method.Phytoplankton growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water samples.Redundancy analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton growth.The results could be useful for implementing comprehensive management of the river basin environment.It is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.展开更多
In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defe...In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defect prediction methods based on software metric elements highly rely on software metric data.However,redundant software metric data is not conducive to efficient defect prediction,posing severe challenges to current software defect prediction tasks.To address these issues,this paper focuses on the rational clustering of software metric data.Firstly,multiple software projects are evaluated to determine the preset number of clusters for software metrics,and various clustering methods are employed to cluster the metric elements.Subsequently,a co-occurrence matrix is designed to comprehensively quantify the number of times that metrics appear in the same category.Based on the comprehensive results,the software metric data are divided into two semantic views containing different metrics,thereby analyzing the semantic information behind the software metrics.On this basis,this paper also conducts an in-depth analysis of the impact of different semantic view of metrics on defect prediction results,as well as the performance of various classification models under these semantic views.Experiments show that the joint use of the two semantic views can significantly improve the performance of models in software defect prediction,providing a new understanding and approach at the semantic view level for defect prediction research based on software metrics.展开更多
Zn-air battery(ZAB)has garnered significant attention owing to its environmental friendliness and safety attributes.A critical challenge in advancing ZAB technology lies in the development of high-performance and cost...Zn-air battery(ZAB)has garnered significant attention owing to its environmental friendliness and safety attributes.A critical challenge in advancing ZAB technology lies in the development of high-performance and cost-effective electrocatalysts for oxygen redox reactions(OER and ORR).Herein,we report Co/Fe carbon-supported composites as efficient bifunctional catalyst encapsulated in oxidative ammonolysis modified lignin-derived N-doped biochar(Co Fe-Co_(x)N@NOALC).It exhibited exceptional electrochemical performance in aqueous ZAB owing to their uniform dispersed and small particle size,with a peak power density of 154 mW/cm^(2)and a specific capacity of 770 mAh/g.Most notably,it exhibited a long cycle stability,surpassing 1500 h at a current density of 10 mA/cm^(2),with a mere 11.4%decrease in the chargedischarge efficiency of the battery.This study proposes a viable strategy for enhancing the performance and reducing the cost of Zn-air batteries through the utilization of biomass-derived materials.展开更多
Manipulating catalyst structures to control product selectivity while maintaining high activity presents a considerable challenge in CO_(2)hydrogenation.Combining density functional theory calculations and microkineti...Manipulating catalyst structures to control product selectivity while maintaining high activity presents a considerable challenge in CO_(2)hydrogenation.Combining density functional theory calculations and microkinetic analysis,we proposed that graphene-supported isolated Pt atoms(Pt1/graphene)and Pt_(2)dimers(Pt_(2)/graphene)exhibited distinct selectivity in CO_(2)hydrogenation.Pt_(1)/graphene facilitated the conversion of CO_(2)into formic acid,whereas Pt_(2)/graphene favored methanol generation.The variation in product selectivity arose from the synergistic interaction of Pt_(2)dimers,which facilitated the migration of H atoms between two Pt atoms and promoted the transformation from*COOH intermediates to*C(OH)_(2)intermediates,altering the reaction pathways compared to isolated Pt atoms.Additionally,an analysis of the catalytic activities of three Pt_(1)/graphene and three Pt_(2)/graphene structures revealed that the turnover frequencies for formic acid generation on Pt_(1ii)/graphene and methanol generation on Pt_(2i)/graphene were as high as 744.48 h-1and 789.48 h^(-1),respectively.These values rivaled or even surpassed those previously reported in the literature under identical conditions.This study provides valuable insights into optimizing catalyst structures to achieve desired products in CO_(2)hydrogenation.展开更多
基金supported by the Special Project of the National Natural Science Foundation of China(NSFC)“The Uniqueness of China’s Demographic Transition,Its Economic Impact,and Policy Implications”(Grant No.72141310)the Major Economic and Social Survey Project of the Chinese Academy of Social Sciences(CASS)“China Urban Labor Survey”(Grant No.GQDC2023022)the Comprehensive Grant of CASS Affiliated Institute Laboratories“Population Simulation and Employment Monitoring Laboratory”(Grant No.2024SYZH008).
文摘To gain an in-depth understanding of China’s urban labor market,the Institute of Population and Labor Economics at the Chinese Academy of Social Sciences(IPLE-CASS)conducted the fifth wave of the China Urban Labor Survey in 2023,which covers eight major representative cities.The survey collected 9,122 household questionnaires and 26,145 individual questionnaires from 381 neighborhood committees.Based on this data,the report systematically analyzes employment,wages,educational attainment,and social security among China’s urban workforce.Key findings include an inverted U-shaped age pattern of labor force participation,with a widening gender gap after childbearing age.Additionally,job search methods combine market-based channels with traditional social networks.Notably,the gender wage gap persists and widens over the life cycle,while employed women now have higher average years of schooling than men.Rural-to-urban migrants show higher labor force participation rates but remain disadvantaged in wages,education,and social security coverage.Thus,this survey provides a comprehensive picture of the structural characteristics and challenges of China’s urban labor market,providing a solid data foundation for academic research and public policy design.
基金Project supported by the National Natural Science Foundation of China(42377405,41877477)Director's Funds of Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration(SHUES2022C01)。
文摘Visible light photocatalytic degradation is a promising advanced oxidation process for the removal of antibiotics in wastewater.However,this technology currently has problems that are not suitable for large-scale applications,mainly due to the high cost of development and preparation of efficient photocatalysts.Therefore,the preparation of low-cost,high-efficiency and environmentally friendly semiconductor photocatalysts is still a hot research topic.In this study,rare earth metal Ce-doped porous Bi_(2)O_(3)-based biomorphic photocatalysts were prepared by a combination of solvothermal method and tem plate method using natural rapeseed pollen as a green template.Ce/Bi_(2)O_(3) synthesized by the optimal process shows a pollen-shaped porous stru cture with high dispersion and integrity,high purity and large specific surface area.Ce in the catalysts with different doping amounts coexists in two mixed valence states of Ce^(4+)and Ce^(3+),and Ce doping increases the percentage of oxygen vacancies.The higher specific surface area of the catalyst also provides more active sites and reaction surface area.When the doping amount of Ce is 5 mol%,the efficiency of tetracycline hydrochloride(TCH)degradation under visible light can reach more than 96%after 180 min.The rate constant is 6.37 times higher than that of commercially available Bi_(2)O_(3)(CHB).Through the analysis of intermediate products,the possible degradation path of TCH is obtained,and the phenomenon of intermediate accumulation in the initial stage was explored.The prepared photocatalysts have excellent stability and high reusability,and have a large advantage in comprehensive economy.Therefore,this study provides a reference for the preparation of low-cost rare earth metal doped photocatalysts with special morphology for the degradation of antibiotic wastewater.
基金Supported by the National Natural Science Foundation of China(No.U21A6001)the Guangdong Natural Science Foundation Youth Enhancement Program(No.2024A1515030206)the China Meteorological Administration Climate Change Special Program(No.QBZ202301)。
文摘Both natural and human-induced disturbances affect the normal functioning and services of mangrove ecosystems.To address the consequences of intense human and climatic disturbances on sedimentation and carbon burial,sediment cores from the last remaining mangrove Kandelia obovata forest and an adjacent mudflat in the densely populated and typhoon-prone Zhujiang(Pearl)River estuary of China,were analyzed using methods including^(210)Pb dating andδ^(13)C analysis.Results indicate that after damming in the 1950s,during 1960-1980,the natural establishment of K.obovata forests initiated the insitu sedimentation.As these forests matured during 1980-1990,they significantly boosted siltation in the region on mudflat.During 1990-2015,the invasion of Spartina alterniflora and land reclamation for aquaculture caused infiltration of coarse sediments and the impacts of typhoons were recorded within the K.obovata forest,while no clear typhoon record was observed on the mudflat.Since 2015,reforestation efforts with S.apetala that began in 1999 have reversed the effects of earlier deforestation.Over time,mangroves established a rapid autochthonous carbon burial that grew as the forests age,potentially surpassing the influx of allochthonous carbon due to deforestation.The reforestation also immediately improved carbon burial on the mudflat,which stabilized after a decade due to the rapid growth and high biomass of S.apetala.Overall,the K.obovata forest demonstrated a stronger sedimentation and carbon burial capabilities than the mudflat,with a surplus of 35.2 Mg C/hm^(2)in soil organic carbon stock and 1.0 Mg C/(hm^(2)·a)in burial rate.Organic matter dissolved in soil was mainly humus-like components,and mangrove inputs likely increased the degree of humification.This study offered direct evidence regarding the impact of multiple disturbances on local and regional sedimentation and carbon burial,and future management strategies.
文摘The Guidelines for the Construction of Ideological and Political Education in Courses at Institutions of Higher Learning emphasizes that“the construction of ideological and political education in courses is an important task for comprehensively improving the quality of talent cultivation”and“clarifying the target requirements and key content of the construction of ideological and political education in courses.”In vocational colleges,as an important discipline in the field of information technology,the construction of ideological and political education in software technology courses is of great significance for cultivating students’comprehensive qualities and establishing correct values.Based on sorting out the core literacy of the construction of ideological and political education in software technology courses,this article actively explores its construction path,hoping to provide references for relevant educators.
基金This paper is the research result of“Research on Innovation of Evidence-Based Teaching Paradigm in Vocational Education under the Background of New Quality Productivity”(2024JXQ176)the Shandong Province Artificial Intelligence Education Research Project(SDDJ202501035),which explores the application of artificial intelligence big models in student value-added evaluation from an evidence-based perspective。
文摘Based on the educational evaluation reform,this study explores the construction of an evidence-based value-added evaluation system based on data-driven,aiming to solve the limitations of traditional evaluation methods.The research adopts the method of combining theoretical analysis and practical application,and designs the evidence-based value-added evaluation framework,which includes the core elements of a multi-source heterogeneous data acquisition and processing system,a value-added evaluation agent based on a large model,and an evaluation implementation and application mechanism.Through empirical research verification,the evaluation system has remarkable effects in improving learning participation,promoting ability development,and supporting teaching decision-making,and provides a theoretical reference and practical path for educational evaluation reform in the new era.The research shows that the evidence-based value-added evaluation system based on data-driven can reflect students’actual progress more fairly and objectively by accurately measuring the difference in starting point and development range of students,and provide strong support for the realization of high-quality education development.
基金Artificial Intelligence Education Research Project of Shandong Provincial Audio-Visual Education Center“Exploration of the Application of Large-scale AI Models in Student Value-added Evaluation from an Evidence-based Perspective”(SDDJ202501035)。
文摘Value-added evaluation focuses on individual student growth by tracking changes in academic performance,skills,literacy,etc.,at different time points.It weakens horizontal comparisons and emphasizes vertical progress to more fairly reflect educational effectiveness.This evaluation method is particularly suitable for vocational education,effectively motivating students’learning enthusiasm and enhancing their self-confidence.Foreign research is represented by the Tennessee Value-Added Assessment System(TVAAS),widely used in evaluating school quality and teacher performance.Domestic research currently focuses on the theoretical construction,model establishment,optimization,and practical application of value-added evaluation,still facing significant challenges in data collection comprehensiveness and model adaptability.Aiming at current issues,this study focuses on exploring the application of artificial intelligence large models in student value-added evaluation from an evidence-based perspective,committed to constructing an innovative evidence-based value-added evaluation system.It aims to achieve precise assessment of students’learning effect“net value-added”through multi-source data collection,intelligent analysis,and personalized feedback.The system integrates outcome evaluation,process evaluation,value-added evaluation,and comprehensive evaluation to form a“four-in-one”dynamic evaluation framework,considering students’starting points,process performance,and final achievements.In the future,value-added evaluation needs to further expand the assessment of non-academic dimensions(such as professional literacy and social-emotional skills)and explore the application of non-linear models to promote the deepening and innovation of educational evaluation reform.
基金supported by the National Natural Science Foundation of China,No.81921006(to GHL)。
文摘The oral cavity is a complex physiological community encompassing a wide range of microorganisms.Dysbiosis of oral microbiota can lead to various oral infectious diseases,such as periodontitis and tooth decay,and even affect systemic health,including brain aging and neurodegenerative diseases.Recent studies have highlighted how oral microbes might be involved in brain aging and neurodegeneration,indicating potential avenues for intervention strategies.In this review,we summarize clinical evidence demonstrating a link between oral microbes/oral infectious diseases and brain aging/neurodegenerative diseases,and dissect potential mechanisms by which oral microbes contribute to brain aging and neurodegeneration.We also highlight advances in therapeutic development grounded in the realm of oral microbes,with the goal of advancing brain health and promoting healthy aging.
基金Key research and development projects of Sichuan Science and Technology Plan Project(2024YFFK0135)Fujian Provincial Natural Science Foundation of China(2024J011450).
文摘Precision medicine has become a cornerstone in modern therapeutic strategies, with nucleic acid aptamers emerging aspivotal tools due to their unique properties. These oligonucleotide fragments, selected through the Systematic Evolution ofLigands by Exponential Enrichment process, exhibit high affinity and specificity toward their targets, such as DNA, RNA,proteins, and other biomolecules. Nucleic acid aptamers offer significant advantages over traditional therapeutic agents,including superior biological stability, minimal immunogenicity, and the capacity for universal chemical modifications thatenhance their in vivo performance and targeting precision. In the realm of osseous tissue repair and regeneration, a complexphysiological process essential for maintaining skeletal integrity, aptamers have shown remarkable potential in influencingmolecular pathways crucial for bone regeneration, promoting osteogenic differentiation and supporting osteoblast survival. Byengineering aptamers to regulate inflammatory responses and facilitate the proliferation and differentiation of fibroblasts,these oligonucleotides can be integrated into advanced drug delivery systems, significantly improving bone repair efficacywhile minimizing adverse effects. Aptamer-mediated strategies, including the use of siRNA and miRNA mimics or inhibitors,have shown efficacy in enhancing bone mass and microstructure. These approaches hold transformative potential for treatinga range of orthopedic conditions like osteoporosis, osteosarcoma, and osteoarthritis. This review synthesizes the molecularmechanisms and biological roles of aptamers in orthopedic diseases, emphasizing their potential to drive innovative andeffective therapeutic interventions.
基金Supported by Beijing Municipal Commission of Education,No.SM202214075001。
文摘BACKGROUND Adult-onset Still's disease(AOSD)is a rare autoinflammatory disease charac-terized by nonspecific symptoms such as fever,rash,sore throat and arthralgia.This paper reports a clinical case of AOSD successfully treated with Bo’s abdo-minal acupuncture(BAA).CASE SUMMARY We report a 20-year-old man who suffered from cold exposure,presenting with high fever,rash,sore throat,arthralgia,and elevated erythrocyte sedimentation rate,leukocytosis with neutrophilic predominance,elevated ferritin,elevated C-reactive protein,and negative rheumatoid factors.He was diagnosed with AOSD based on the Yamaguchi criteria.After treatment with traditional Chinese medi-cine(TCM)decoction and prednisone acetate tablets,there was some alleviation of sore throat,joint and muscle pain,and fever,but he still had persistent low-grade fever,rash,sore throat and arthralgia.He went to the TCM acupuncture outpatient department to receive BAA.Abdominal acupoints Zhongwan(CV12),Xiawan(CV10),0.5 cm below Xiawan(CV10),Qihai(CV6),Guanyuan(CV4),bilateral Qixue(KI13),bilateral Huaroumen(ST24),bilateral Shangfengshidian(AB1)and bilateral Daheng(SP15)were selected.After 3 months treatment,all symptoms disappeared,and the laboratory examination returned to normal levels.He did not take glucocorticoids or nonsteroidal anti-inflammatory drugs afterwards,and no relapse was observed during the 3-year follow-up period.CONCLUSION BAA can be used as a complementary medical approach for treatment of AOSD.
文摘With the full implementation and explosion of artificial intelligence big models such as DeepSeek,Doubao and Dream,the business of many traditional industries has been more or less affected.However,with its super data processing ability and intelligent analysis ability,it has been warmly welcomed and widely used in the industry,and has also given rise to some innovative changes in the development of various industries.In this wave of artificial intelligence,AI technology is also constantly infiltrating into the field of education and mental health work,and the mental health work of college students is also ushering in new development and opportunities.This study investigates the application of AI technology in college students’psychological work,and analyzes that the application of AI technology can promote the breadth coverage and accuracy of college students’psychological work,and effectively improve the quality and efficiency of college students’mental health work.However,due to the limitations of AI technology’s own data calculation and objective existing data security problems,the application of AI technology can effectively improve the quality and efficiency of college students’mental health work.There may be certain deviations in the actual work process.Based on the above analysis,this paper can be used as a discussion on the application of AI technology in college students’mental health work.
文摘The management of architectural decoration and renovation technology encompasses multiple aspects,including the implementation of design standards,process flow control,and material quality monitoring.Housing construction projects have specific requirements,such as cross-construction,finishing treatment,and finished product protection.The text also introduces BIM deepening design and modular installation techniques.It emphasizes the importance of material management,quality control,and the PDCA cycle,as well as various specialized inspections,smart site management,and mobile terminal applications.Intelligent management is seen as the future direction.
基金the National Key Research and Development Program of China(2022YFB4004100)National Natural Science Foundation of China(22272161,22179126)+1 种基金the Jilin Province Science and Technology Development Program(YDZJ202202CXJD011,20240101019JC)Jilin Province major science and technology project(222648GX0105103875)for financial supports.
文摘The weak adsorption energy of oxygen-containing intermediates on Co center leads to a considerable performance dis-parity between Co-N-C and costly Pt benchmark in catalyzing oxygen reduction reaction(ORR).In this work,we strategi-cally engineer the active site structure of Co-N-C via B substitution,which is accomplished by the pyrolysis of ammonium borate.During this process,the in-situ generated NH_(3)gas plays a critical role in creating surface defects and boron atoms substituting nitrogen atoms in the carbon structure.The well-designed CoB_(1)N_(3)active site endows Co with higher charge density and stronger adsorption energy toward oxygen species,potentially accelerating ORR kinetics.As expected,the resulting Co-B/N-C catalyst exhibited superior ORR performance over Co-N-C counterpart,with 40 mV,and fivefold en-hancement in half-wave potential and turnover frequency(TOF).More importantly,the excellent ORR performance could be translated into membrane electrode assembly(MEA)in a fuel cell test,delivering an impressive peak power density of 824 mW·cm^(-2),which is currently the best among Co-based catalysts under the same conditions.This work not only demon-strates an effective method for designing advanced catalysts,but also affords a highly promising non-precious metal ORR electrocatalyst for fuel cell applications.
基金supported by the National Natural Science Foundation of China(82371083,82471100,82121003,82271084)Program of Science and Technology International Cooperation Project of Qinghai province(China)(2022-HZ-814)。
文摘N6-methyladenosine(m^(6)A)modification of mRNA is a critical post-transcriptional regulatory mechanism that modulates mRNA metabolism and neuronal function.The m^(6)A reader YTHDF1 has been shown to enhance the translational efficiency of m^(6)A-modified mRNAs in the brain and is essential for learning and memory.However,its role in the mature retina remains unclear.Herein,we report a novel role of Ythdf1 in the maintenance of retinal function using a genetic knockout model.Loss of Ythdf1 resulted in impaired scotopic electroretinogram(ERG)responses and progressive retinal degeneration.Detailed analyses of rod photoreceptors confirmed substantial degenerative changes in the absence of ciliary defects.Single-cell RNA sequencing revealed comprehensive molecular alterations across all retinal cell types in Ythdf1-deficient retinas.Integrative analysis of methylated RNA immunoprecipitation(MeRIP)sequencing and RIP sequencing identified Tulp1 and Dhx38,two inheritable retinal degeneration disease-associated gene homologs,as direct targets of YTHDF1 in the retina.Specifically,YTHDF1 recognized and bound m^(6)A-modified Tulp1 and Dhx38 mRNA at the coding sequence(CDS),enhancing their translational efficiency without altering mRNA levels.Collectively,these findings highlight the essential role of YTHDF1 in preserving visual function and reveal a novel regulatory mechanism of m^(6)A reader proteins in retinal degeneration,identifying potential therapeutic targets for severe retinopathies.
基金supported by the National Natural Science Foundation of China(No.62206143)the Key Research and Development and Promotion Special Project in Henan Province(Nos.222102210141 and 232102211015)。
文摘In this study,we present a unified sparsity-driven framework that significantly enhances motion deblurring performance by integrating two key components:a custom-designed dataset and a low-rank module(LRM).This framework leverages the inherent sparsity of per-pixel blur kernels to bolster both deblurring accuracy and model interpretability.Firstly,we propose an adaptive-basis decomposition-based deblurring(ADD)approach,which constructs a tailored training dataset to enhance the generalization capacity of the deblurring network.The ADD framework adaptively decomposes motion blur into sparse basis elements,effectively addressing the intricacies associated with non-uniform blurs.Secondly,an LRM is proposed to improve the interpretability of deblurring models as a plug-and-play module,primarily designed to identify and harness the intrinsic sparse features in sharp images.A series of ablation studies have been conducted to substantiate the synergistic advantages of combining the proposed ADD with the LRM for overall improvement in deblurring efficacy.Subsequently,we empirically demonstrate through rigorous experimentation that incorporating the LRM into an existing Uformer network leads to substantial enhancement in reconstruction performance.This integration yields a sparsity-guided low-rank network(SGLRN).Operating under the overarching principle of sparsity,SGLRN consistently outperforms state-of-the-art methods across multiple standard deblurring benchmarks.Comprehensive experimental results,assessed through quantitative metrics and qualitative visual evaluations,provide compelling evidence of its effectiveness.The overall deblurring results are available at Google Drive.
基金supported by the China Association of Trade in Services(CATIS-PR-250225).
文摘This study examined the relationship between transformational leadership and employee bootleg innovation through the mediating role of creative self-efficacy and the moderating role of leader-member exchange(LMX).Data were collected from 279 employees and 56 matched supervisors within a large Chinese digital transformation group.A moderated mediation model analysis found that transformational leadership predicts higher employee bootleg innovation.Creative self-efficacy mediated the positive relationship between transformational leadership and employee bootleg.Additionally,leader-member exchange significantly moderated the relationship between transformational leadership and creative self-efficacy,for a further enhancement of bootleg innovation.Thesefindings underscore the importance of transformative leadership in fostering digital employee innovation.This study provides further evidence of the relevance of self-determination theory in explaining the leadership and employee innovation,relationship within the context of digital transformation.By implication,creative self-efficacy and leader-member exchange are modifiable factors by digital transformation entities seeking a competitive advantage.
基金supported by the National Natural Science Foundation of China (No.72091511)the Science Fund for Distinguished Young Scholars of Hebei Province (No.E2022402064).
文摘Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution control.Here,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel analysis.Additional environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation modeling.At the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA metabarcoding.Inα-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic method.Phytoplankton growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water samples.Redundancy analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton growth.The results could be useful for implementing comprehensive management of the river basin environment.It is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.
基金supported by the CCF-NSFOCUS‘Kunpeng’Research Fund(CCF-NSFOCUS2024012).
文摘In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defect prediction methods based on software metric elements highly rely on software metric data.However,redundant software metric data is not conducive to efficient defect prediction,posing severe challenges to current software defect prediction tasks.To address these issues,this paper focuses on the rational clustering of software metric data.Firstly,multiple software projects are evaluated to determine the preset number of clusters for software metrics,and various clustering methods are employed to cluster the metric elements.Subsequently,a co-occurrence matrix is designed to comprehensively quantify the number of times that metrics appear in the same category.Based on the comprehensive results,the software metric data are divided into two semantic views containing different metrics,thereby analyzing the semantic information behind the software metrics.On this basis,this paper also conducts an in-depth analysis of the impact of different semantic view of metrics on defect prediction results,as well as the performance of various classification models under these semantic views.Experiments show that the joint use of the two semantic views can significantly improve the performance of models in software defect prediction,providing a new understanding and approach at the semantic view level for defect prediction research based on software metrics.
基金sponsored by the National Natural Science Foundation of China(Nos.U23A6005 and 22178069)。
文摘Zn-air battery(ZAB)has garnered significant attention owing to its environmental friendliness and safety attributes.A critical challenge in advancing ZAB technology lies in the development of high-performance and cost-effective electrocatalysts for oxygen redox reactions(OER and ORR).Herein,we report Co/Fe carbon-supported composites as efficient bifunctional catalyst encapsulated in oxidative ammonolysis modified lignin-derived N-doped biochar(Co Fe-Co_(x)N@NOALC).It exhibited exceptional electrochemical performance in aqueous ZAB owing to their uniform dispersed and small particle size,with a peak power density of 154 mW/cm^(2)and a specific capacity of 770 mAh/g.Most notably,it exhibited a long cycle stability,surpassing 1500 h at a current density of 10 mA/cm^(2),with a mere 11.4%decrease in the chargedischarge efficiency of the battery.This study proposes a viable strategy for enhancing the performance and reducing the cost of Zn-air batteries through the utilization of biomass-derived materials.
基金supported by the National Key Research and Development Program(No.2022YFA1505800)the National Natural Science Foundation of China(No.22373092)+5 种基金CAS Project for Young Scientists in Basic Research(No.YSBR-051)China Association for Science and Technology(No.YESS20200031)the Start-up Funding of Central South University(No.502045005)Industry-University-Research Cooperation Projects with Zhejiang NHU Co.,Ltd.Ningbo Fengcheng Advanced Energy Materials Research Institutesupported by USTC Tang Scholarship。
文摘Manipulating catalyst structures to control product selectivity while maintaining high activity presents a considerable challenge in CO_(2)hydrogenation.Combining density functional theory calculations and microkinetic analysis,we proposed that graphene-supported isolated Pt atoms(Pt1/graphene)and Pt_(2)dimers(Pt_(2)/graphene)exhibited distinct selectivity in CO_(2)hydrogenation.Pt_(1)/graphene facilitated the conversion of CO_(2)into formic acid,whereas Pt_(2)/graphene favored methanol generation.The variation in product selectivity arose from the synergistic interaction of Pt_(2)dimers,which facilitated the migration of H atoms between two Pt atoms and promoted the transformation from*COOH intermediates to*C(OH)_(2)intermediates,altering the reaction pathways compared to isolated Pt atoms.Additionally,an analysis of the catalytic activities of three Pt_(1)/graphene and three Pt_(2)/graphene structures revealed that the turnover frequencies for formic acid generation on Pt_(1ii)/graphene and methanol generation on Pt_(2i)/graphene were as high as 744.48 h-1and 789.48 h^(-1),respectively.These values rivaled or even surpassed those previously reported in the literature under identical conditions.This study provides valuable insights into optimizing catalyst structures to achieve desired products in CO_(2)hydrogenation.
