Zeolites are a promising support for Pd catalysts in leanmethane(CH_(4))combustion.Herein,three types of zeolites(H-MOR,H-ZSM-5 and H-Y)were selected to estimate their structural effects and deactivation mechanisms in...Zeolites are a promising support for Pd catalysts in leanmethane(CH_(4))combustion.Herein,three types of zeolites(H-MOR,H-ZSM-5 and H-Y)were selected to estimate their structural effects and deactivation mechanisms in CH_(4)combustion.We show that variations in zeolite structure and surface acidity led to distinct changes in Pd states.Pd/H-MOR with external high-dispersing Pd nanoparticles exhibited the best apparent activity,with activation energy(Ea)at 73 kJ/mol,while Pd/H-ZSM-5 displayed the highest turnover frequency(TOF)at 19.6×10^(−3)sec^(−1),presumably owing to its large particles with more step sites providing active sites in one particle for CH_(4)activation.Pd/H-Y with dispersed PdO within pore channels and/or Pd2+ions on ion-exchange sites yielded the lowest apparent activity and TOF.Furthermore,Pd/H-MOR and Pd/H-ZSM-5 were both stable under a dry condition,but introducing 3 vol.%H_(2)O caused the CH_(4)conversion rate on Pd/H-MOR drop from 100%to 63%and that on Pd/H-ZSM-5 decreased remarkably from 82%to 36%.The former was shown to originate fromzeolite structural dealumination,and the latter principally owed to Pd aggregation and the loss of active PdO.展开更多
Dehydrogenation of propane(PDH)technology is one of the most promising on-purpose technologies to solve supply-demand unbalance of propylene.The industrial catalysts for PDH,such as Pt-and Cr-based catalysts,still hav...Dehydrogenation of propane(PDH)technology is one of the most promising on-purpose technologies to solve supply-demand unbalance of propylene.The industrial catalysts for PDH,such as Pt-and Cr-based catalysts,still have their own limitation in expensive price and security issues.Thus,a deep understanding into the structure-performance relationship of the catalysts during PDH reaction is necessary to achieve innovation in advanced high-efficient catalysts.In this review,we focused on discussion of structure-performance relationship of catalysts in PDH.Based on analysis of reaction mechanism and nature of active sites,we detailed interaction mechanism between structure of active sites and catalytic performance in metal catalysts and oxide catalysts.The relationship between coke deposition,co-feeding gas,catalytic activity and nanostructure of the catalysts are also highlighted.With these discussions on the relationship between structure and performances,we try to provide the insights into microstructure of active sites in PDH and the rational guidance for future design and development of PDH catalysts.展开更多
A series of Co/SiO2 catalysts with different sodium （Na）loadings （0, 0.1, 0.2, 0.5 and I wt%） were prepared and evaluated for Fischer-Tropsch reaction to study the effect of Na on the catalyst structure and cataly...A series of Co/SiO2 catalysts with different sodium （Na）loadings （0, 0.1, 0.2, 0.5 and I wt%） were prepared and evaluated for Fischer-Tropsch reaction to study the effect of Na on the catalyst structure and catalytic performance. The addition of Na was found to decrease the catalytic activity and hydrocarbon selectivity, but increase CO2 selec- tivity due to the enhanced WGS activity. The addition of Na also resulted in higher selectivity to oxygenates （alco- hols and aldehydes） and O/P ratio as well as the shift of hydrocarbons to lower carbon numbers. Structure charac- terization revealed a decrease in the surface area and particles size for the calcined samples with the addition of Na. CozC was formed during the reaction process for the Na-promoted catalysts. As a result, a new Co/Co2C bifunc- tional active sites were generated for oxygenates formation leading to increasing oxygenates selectivity. In addition, the Co2C nanoparticles alone may also act as dual active sites for oxygenate formation at high reaction pressure over the promoted catalysts with high Na loading.展开更多
In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shippi...In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.展开更多
Data-driven approach has emerged as a powerful strategy in the construction of structure-performance relationships in organic synthesis.To close the gap between mechanistic understanding and synthetic prediction,we ha...Data-driven approach has emerged as a powerful strategy in the construction of structure-performance relationships in organic synthesis.To close the gap between mechanistic understanding and synthetic prediction,we have made efforts to implement mechanistic knowledge in machine learning modelling of organic transformation,as a way to achieve accurate predictions of reactivity,regio-and stereoselectivity.We have constructed a comprehensive and balanced computational database for target radical transformations(arene C—H functionalization and HAT reaction),which laid the foundation for the reactivity and selectivity prediction.Furthermore,we found that the combination of computational statistics and physical organic descriptors offers a practical solution to build machine learning structure-performance models for reactivity and regioselectivity.To allow machine learning modelling of stereoselectivity,a structured database of asymmetric hydrogenation of olefins was built,and we designed a chemical heuristics-based hierarchical learning approach to effectively use the big data in the early stage of catalysis screening.Our studies reflect a tiny portion of the exciting developments of machine learning in organic chemistry.The synergy between mechanistic knowledge and machine learning will continue to generate a strong momentum to push the limit of reaction performance prediction in organic chemistry.展开更多
In this editorial,I comment on the article by Zhang et al.To emphasize the importance of the topic,I discuss the relationship between the use of smart medical devices and mental health.Smart medical services have the ...In this editorial,I comment on the article by Zhang et al.To emphasize the importance of the topic,I discuss the relationship between the use of smart medical devices and mental health.Smart medical services have the potential to positively influence mental health by providing monitoring,insights,and inter-ventions.However,they also come with challenges that need to be addressed.Understanding the primary purpose for which individuals use these smart tech-nologies is essential to tailoring them to specific mental health needs and prefe-rences.展开更多
This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised ...This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised 540 Chinese senior secondary school students between the ages of 15–18(51.67%boys;Mage=16.56 years;SDage=0.90).They completed surveys on the Teacher-Student Relationship Scale,the Selection,Optimization,and Compensation(SOC)Scale,the Peer Relationship Scale for Children and Adolescents,and the Learning Engagement Scale.The results following regression analysis showed that teacher-student relationship predicted higher learning engagement among senior secondary school students.Intentional self-regulation partially mediated the link between teacher-student relationship and learning engagement for higher learning engagement.Peer relationship moderated the relationships between teacher-student relationship and learning engagement and moderated the relationship between teacher-student relationship and intentional self-regulation for higher learning engagement.Thesefindings imply learning engagement can be enhanced by optimizing teacher-student relationship and strengthening intentional self-regulation interventions.展开更多
The relationship between ecosystem services(ES)and human well-being(HWB)is fundamental to the science and practice of sustainability.However,studies have shown conflicting results,which has been attributed to the infl...The relationship between ecosystem services(ES)and human well-being(HWB)is fundamental to the science and practice of sustainability.However,studies have shown conflicting results,which has been attributed to the influences of indicators,contexts,and scales.Yet,another potential factor,which has been overlooked,may be the mixed use of spatial and temporal approaches.Using twelve ES and seven well-being indicators and multiple statistical methods,we quantified and compared the spatial and temporal ES–HWB relationships for Inner Mongolia,China.The spatial and temporal relationships differed in both correlation direction and strength.Most relationships of economic and employment-related indicators with food provisioning and supporting services were temporally positive but spatially nonsignificant or negative.Some relationships of economic and employmentrelated indicators with water retention,sandstorm prevention,and wind erosion were temporally negative but spatially complex.However,the spatial and temporal ES–HWB relationships could also be similar in some cases.We conclude that although both the spatial and temporal approaches have merits,space generally cannot substitute for time in the study of ES–HWB relationship.Our study helps reconcile the seemingly conflicting findings in the literature,and suggests that future studies should explicitly distinguish between the spatial and temporal ES–HWB relationships.展开更多
This study examined the impact of teacher-student relationship quality on students’risk of bullying victimiza-tion and the mediating roles of student-student relationships and student engagement in this relationship....This study examined the impact of teacher-student relationship quality on students’risk of bullying victimiza-tion and the mediating roles of student-student relationships and student engagement in this relationship.A total of 656 Chinese junior high school students(females=361,mean age=13.75,SD=0.98)completed validated measures of teacher-student relationship quality,student-student relationship quality,student engagement,and bullying victimization.Regression analysis results indicated that higher teacher-student relationship quality predicted a lower risk of student bullying victimization.Serial mediating effect testing of the student-student relationship quality and student engagement revealed that these factors fully mediated the relationship between teacher-student relationship quality and bullying victimization,resulting in a lower risk of bullying victimization.The results showed that student-student relationship quality had a more substantial mediating effect than student engagement.Thefindings support the Socio-Ecological Framework,suggesting that within the Microsystem,interactions between individuals and their immediate environments significantly impact their behavior.Specifically,thesefindings suggest that good teacher-student relationships can enhance the quality of student-student relationships and student engagement,thereby preventing and reducing the occurrence of bullying victimization.展开更多
Since China’s reform and development,under the influence of the global religious and cultural boom,it has also focused on studying Islamic culture and related fields,resulting in many important representative works.T...Since China’s reform and development,under the influence of the global religious and cultural boom,it has also focused on studying Islamic culture and related fields,resulting in many important representative works.The main characteristic of writing books in this area is to use popular knowledge materials that are suitable for various sectors of society.There are also works exploring the historical evolution of Islamic culture in China,which involve the relationship between Islamic culture and traditional Chinese culture.Before the 1980s,there were no significant achievements in publishing papers.However,since the 1990s,there has been a noticeable increase in papers related to Islamic culture and related fields,with new advances in research areas and methods.There are both articles that explore the attributes and characteristics of Islamic culture from the perspectives of world history and culture,as well as many articles that explore various specific aspects of Islamic culture from the perspective of specific topics.In this article,the author collects academic achievements in the study of Islamic culture in China and introduces them to the academic community,letting them know about China's research on world Islamic culture.展开更多
Soybean is widely used in diets,and numerous reports have highlighted its antioxidant properties.However,constructing a methodology for rapid identifying and predicting a series of antioxidant active ingredients in So...Soybean is widely used in diets,and numerous reports have highlighted its antioxidant properties.However,constructing a methodology for rapid identifying and predicting a series of antioxidant active ingredients in Soybean presents certain challenges.Therefore,we introduced the spectrum-effect relationship-ingredient knockout identification technique to identify a series of antioxidant active ingredients in soybean.By combining untargeted metabolomics with network pharmacology,we predicted the antioxidant active ingredients and their target sites.We successfully identified 4 antioxidant active compounds(daidzein,genistein,daidzein,and glycitin)and 10 corresponding antioxidant targets(epidermal growth factor receptor(EGFR),estrogen receptor 1(ESR1),steroid receptor coactivator(SRC),tumor necrosis factor(TNF),kinase insert domain receptor(KDR),AKT serine/threonine kinase 1(AKT1),growth factor receptor bound protein 2(GRB2),signal transducer and activator of transcription1(STAT1),mitogen-activated protein kinase 8(MAPK8),B-cell lymphoma-2(BCL2))by our analysis.The validation results from cell experiments revealed that glycitin exhibited the best antioxidant activity and significantly influenced the expression of EGFR and the proteins associated with nuclear factor erythroid 2-related factor 2/NAD(P)H quinone dehydrogenase 1(NRF2/NQO1)signaling pathways.These findings were consistent with the predicted outcomes and were further confirmed in a zebrafish model.It suggests that glycitin may exert antioxidant effects by regulating the expression of EGFR,NRF2,and NQO1 proteins.The results demonstrate that a rapid analytical method for determining antioxidant activity was established.展开更多
BACKGROUND Hyperglycemia secondary to diabetes can lead to organ failure unless properly controlled,and it is associated with numerous health issues,particularly metabolic problems.Breast cancer is one of the most com...BACKGROUND Hyperglycemia secondary to diabetes can lead to organ failure unless properly controlled,and it is associated with numerous health issues,particularly metabolic problems.Breast cancer is one of the most common malignancies in females worldwide and represents a major health concern due to its morbidity and mortality.The progression of the disease and the response to treatment depend on numerous variables,including both tumor biology and patient-related factors.Key prognostic indicators include age,tumor size,lymph node involvement,histological type,hormone receptor status,and expression of biomarkers such as HER2.AIM To investigate the relationship between preoperative blood glucose levels and cancer prognostic factors in patients diagnosed with breast cancer.METHODS In this study patients diagnosed with breast cancer were classified into two groups:Those with blood glucose levels<125 mg/dL and those with levels>125 mg/dL.Estrogen and progesterone receptor positivity,Ki-67 percentage,Cerb2 positivity,number of positive lymph nodes,and presence of lymphovascular invasion were examined histopathologically.RESULTS The study included 246 patients with breast cancer:196 were in the normal glucose group and 50 were in the elevated glucose group.In the normal glucose group,68%of the tumors were left-sided and 32%were right-sided,while all tumors in the elevated glucose group were left-sided.This difference was statistically significant(P<0.001).Tumor size,Ki-67,and the number of positive lymph nodes were not associated with blood glucose in patients with breast cancer(P>0.05 for all).However,blood glucose was correlated with age in this population.Correlation analyses revealed that blood glucose was positively correlated with age(r=0.23,P<0.001).Additionally,Ki-67 was correlated with tumor size(r=0.14,P=0.03)and age(r=-0.18,P=0.005).CONCLUSION Our study highlighted the complex interplay between metabolic factors,such as fasting glucose levels,and breast cancer characteristics.Elevated glucose levels were associated with older age.The significant association between tumor laterality and glucose levels underscores the need for further investigation into the collective influence of metabolic and anatomical factors on breast cancer development and progression.展开更多
Background With the rapid growth of internet usage,adolescent cyberbullying has become a pressing issue.This study examines the longitudinal impact of leisure-time physical activity and peer relationships on cyberbull...Background With the rapid growth of internet usage,adolescent cyberbullying has become a pressing issue.This study examines the longitudinal impact of leisure-time physical activity and peer relationships on cyberbullying over a one-year period,drawing on the Stage-Environment Fit Theory and the Interpersonal Relationship Theory.Methods A three-wave longitudinal study was conducted over one year,involving 896 middle school students from five schools in Sichuan,Jiangsu,and Guangdong,China,selected to ensure regional diversity.Participants were recruited using stratified random sampling,and data were collected at four-month intervals.Leisure-time physical activity,peer relationships,and cyberbullying behaviors were assessed using validated scales.Data were analyzed using latent growth modeling(LGM)and structural equation modeling(SEM)to examine longitudinal effects and mediation relationships.Results(1)Leisure-time physical activity,peer relationships,and cyberbullying behaviors remained relatively stable over time.(2)Both leisure-time physical activity and peer relationships significantly reduced future cyberbullying incidents,with physical activity also enhancing subsequent peer relationships.(3)Peer relationships partially mediated the effect of leisure-time physical activity on cyberbullying,indicating that improved peer interactions contributed to a reduction in cyberbullying behaviors.Conclusion This study found that leisure-time sports activities and peer relationships are important factors affecting cyberbullying,and peer relationships play a partial mediating role in it.The results provide empirical support for understanding the formation mechanism and influencing factors of cyberbullying.展开更多
Quantitative structure-retention relationship(QSRR)is an important tool in chromatography.QSRR examines the correlation between molecular structures and their retention behaviors during chromatographic separation.This...Quantitative structure-retention relationship(QSRR)is an important tool in chromatography.QSRR examines the correlation between molecular structures and their retention behaviors during chromatographic separation.This approach involves developing models for predicting the retention time(RT)of analytes,thereby accelerating method development and facilitating compound identification.In addition,QSRR can be used to study compound retention mechanisms and support drug screening efforts.This review provides a comprehensive analysis of QSRR workflows and applications,with a special focus on the role of artificial intelligence-an area not thoroughly explored in previous reviews.Moreover,we discuss current limitations in RT prediction and propose promising solutions.Overall,this review offers a fresh perspective on future QSRR research,encouraging the development of innovative strategies that enable the diverse applications of QSRR models in chromatographic analysis.展开更多
This paper explored how the work hardening process enhances the yield strength(YS)of magnesium alloy and established a novel quantitative relationship between microstructure and YS.The YS of an extruded Mg–Nd–Zn–Zr...This paper explored how the work hardening process enhances the yield strength(YS)of magnesium alloy and established a novel quantitative relationship between microstructure and YS.The YS of an extruded Mg–Nd–Zn–Zr alloy was nearly tripled by rotary swaging at 200℃,attributing to dislocation accumulation,grain fragmentation,and basal texture formation.A modified Hall–Petch relationship(GM–HP)was established by introducing the equivalent orientation factor and dislocation density to accurately quantify the YS and the contribution of each strengthening mechanism.The contributions of dislocation hardening and grain boundary strengthening were multiplied by the strong basal texture.This paper offered valuable insights and guidance for designing and optimizing high-strength wrought magnesium alloys and their plastic processing methods.展开更多
With the rapid development of artificial intelligence(AI)technology,its application in higher education has gradually shifted from traditional teaching aids to deeper levels of interactive learning and emotional conne...With the rapid development of artificial intelligence(AI)technology,its application in higher education has gradually shifted from traditional teaching aids to deeper levels of interactive learning and emotional connection support.AI can enhance teaching efficiency,personalized learning,and real-time feedback;however,in areas such as emotional communication and teacher-student interaction,AI still cannot fully replace the role of teachers.This study aims to explore the transformation of teacher-student relationships in the era of AI,analyze the impact of AI technology on teaching interaction,emotional support,and teacher-student trust,and propose strategies to address these challenges.The research findings indicate that while AI has significant advantages in improving educational efficiency,it has limitations in interpersonal emotional support and the transformation of the teacher’s role.To ensure the comprehensiveness and humanization of education,educators should strengthen emotional care and improve students’emotional literacy in the use of AI,and implement transparent data management and privacy protection measures to enhance teacher-student trust.The study also suggests that by enhancing teacher-student trust,strengthening emotional support,and increasing transparency,educators can effectively address the challenges of teacher-student relationships in the AI era.This research provides theoretical support and practical guidance for the integration of AI technology with educational humanistic care,promoting more comprehensive,personalized,and humane educational development.展开更多
Digital sculpture is the product of the cross-integration of art and technology,and its development is accompanied by the two-way interaction between technological innovation and artistic concepts.Based on this,this p...Digital sculpture is the product of the cross-integration of art and technology,and its development is accompanied by the two-way interaction between technological innovation and artistic concepts.Based on this,this paper mainly analyzes the remolding of artistic creation logic by technical tools and the expansion of technical application boundary by artistic expression,and further reveals the dynamic balance relationship between the two in symbiosis,hoping to help understand the accompanying mechanism of art and technology in the digital age.展开更多
The interaction between supply chain relationships and corporate finance has become a focal issue in academic and practical circles,especially under the dual drivers of globalization and marketization.This paper syste...The interaction between supply chain relationships and corporate finance has become a focal issue in academic and practical circles,especially under the dual drivers of globalization and marketization.This paper systematically reviews existing research on this topic,covering theoretical foundations from perspectives such as agency theory,stakeholder theory,and co-opetition game theory,which explain the nature of customer-supplier relationships.It also combs through empirical studies from four core angles:competition-cooperation,signal transmission,spillover effects,and information transfer,summarizing findings on how supply chain relationships impact corporate investment,financing,operations,and performance,as well as existing controversies.The aim is to clarify the research context,identify theoretical and empirical gaps,and provide theoretical support and direction for deepening future research on supply chain and corporate finance.展开更多
This study investigated the fluctuations in the relationship between the Silk Road Pattern(SRP)and the boreal summer North Atlantic Oscillation(SNAO).The results indicated that the SRP–SNAO relationship was relativel...This study investigated the fluctuations in the relationship between the Silk Road Pattern(SRP)and the boreal summer North Atlantic Oscillation(SNAO).The results indicated that the SRP–SNAO relationship was relatively weak during 1958–2022,which was primarily due to fluctuations,particularly the reversal in their relationship since the late 1990s.Using wavelet coherence analysis,the authors identified a strong SRP–SNAO linkage on a 4–8-yr timescale,in particular during the mid-1970s to the early/mid-1990s.This strong linkage is mainly attributable to the intensification and eastward movement of the southern part of the SNAO around the mid/late 1970s,which favored the strong connection between the SNAO and the SRP.Additionally,the interdecadal changes of the atmospheric circulations over the North Atlantic and Eurasia around the mid/late 1970s that resembled the circulation anomalies related to the strong SRP–SNAO linkage,may also have provided a favorable background for the strong connection between the two teleconnections.These findings on the fluctuations in the SRP–SNAO linkage may offer important implications for understanding the impact of the SNAO on the SRP and the variability of the SRP.展开更多
To enhance the resistance of honeycomb sandwich panel against local impact,this study delved into the matching relationship between face sheets and core.An integrated approach,combining experiment,simulation,and theor...To enhance the resistance of honeycomb sandwich panel against local impact,this study delved into the matching relationship between face sheets and core.An integrated approach,combining experiment,simulation,and theoretical methods,was used.Local loading experiments were conducted to validate the accuracy of the finite element model.Furthermore,a control equation was formulated to correlate structural parameters with response modes,and a matching coefficientλ(representing the ratio of core thickness to face sheet thickness)was introduced to establish a link between these parameters and impact characteristics.A demand-driven reverse design methodology for structural parameters was developed,with numerical simulations employed to assess its effectiveness.The results indicate that the proposed theory can accurately predict response modes and key indicators.An increase in theλbolsters the structural indentation resistance while concurrently heightens the likelihood of penetration.Conversely,a decrease in theλimproves the resistance to penetration,albeit potentially leading to significant deformations in the rear face sheet.Numerical simulations demonstrate that the reverse design methodology significantly enhances the structural penetration resistance.Comparative analyses indicate that appropriate matching reduces indentation depth by 27.4% and indentation radius by 41.8%of the proposed structure.展开更多
基金supported by the National Key R&D Program of China(No.2022YFC3701603)the National Natural Science Foundation of China(Nos.22106133,52070168)+1 种基金the Key R&D Plan of Zhejiang Province(No.2023C03127)the Fundamental Research Funds for the Central Universities(No.226-2022-00150).
文摘Zeolites are a promising support for Pd catalysts in leanmethane(CH_(4))combustion.Herein,three types of zeolites(H-MOR,H-ZSM-5 and H-Y)were selected to estimate their structural effects and deactivation mechanisms in CH_(4)combustion.We show that variations in zeolite structure and surface acidity led to distinct changes in Pd states.Pd/H-MOR with external high-dispersing Pd nanoparticles exhibited the best apparent activity,with activation energy(Ea)at 73 kJ/mol,while Pd/H-ZSM-5 displayed the highest turnover frequency(TOF)at 19.6×10^(−3)sec^(−1),presumably owing to its large particles with more step sites providing active sites in one particle for CH_(4)activation.Pd/H-Y with dispersed PdO within pore channels and/or Pd2+ions on ion-exchange sites yielded the lowest apparent activity and TOF.Furthermore,Pd/H-MOR and Pd/H-ZSM-5 were both stable under a dry condition,but introducing 3 vol.%H_(2)O caused the CH_(4)conversion rate on Pd/H-MOR drop from 100%to 63%and that on Pd/H-ZSM-5 decreased remarkably from 82%to 36%.The former was shown to originate fromzeolite structural dealumination,and the latter principally owed to Pd aggregation and the loss of active PdO.
基金supported by the National Natural Science Foundation of China(21872163,21972166)National Engineering Laboratory for Mobile Source Emission Control Technology(NELMS2017A05)+1 种基金Beijing Natural Science Foundation(2202045,2182060)PetroChina Innovation Foundation(2018D-5007-0505)
文摘Dehydrogenation of propane(PDH)technology is one of the most promising on-purpose technologies to solve supply-demand unbalance of propylene.The industrial catalysts for PDH,such as Pt-and Cr-based catalysts,still have their own limitation in expensive price and security issues.Thus,a deep understanding into the structure-performance relationship of the catalysts during PDH reaction is necessary to achieve innovation in advanced high-efficient catalysts.In this review,we focused on discussion of structure-performance relationship of catalysts in PDH.Based on analysis of reaction mechanism and nature of active sites,we detailed interaction mechanism between structure of active sites and catalytic performance in metal catalysts and oxide catalysts.The relationship between coke deposition,co-feeding gas,catalytic activity and nanostructure of the catalysts are also highlighted.With these discussions on the relationship between structure and performances,we try to provide the insights into microstructure of active sites in PDH and the rational guidance for future design and development of PDH catalysts.
基金This work has been supported by the National Natu- ral Science Foundation of China （Nos. 91545112, 21573271, 21403278）, Shanghai Municipal Science and Technology Commission, China （No. 15DZ1170500）and the Chinese Academy of Sciences （No. QYZDB- SSW-SLH035, Youth Innovation Promotion Association）.
文摘A series of Co/SiO2 catalysts with different sodium （Na）loadings （0, 0.1, 0.2, 0.5 and I wt%） were prepared and evaluated for Fischer-Tropsch reaction to study the effect of Na on the catalyst structure and catalytic performance. The addition of Na was found to decrease the catalytic activity and hydrocarbon selectivity, but increase CO2 selec- tivity due to the enhanced WGS activity. The addition of Na also resulted in higher selectivity to oxygenates （alco- hols and aldehydes） and O/P ratio as well as the shift of hydrocarbons to lower carbon numbers. Structure charac- terization revealed a decrease in the surface area and particles size for the calcined samples with the addition of Na. CozC was formed during the reaction process for the Na-promoted catalysts. As a result, a new Co/Co2C bifunc- tional active sites were generated for oxygenates formation leading to increasing oxygenates selectivity. In addition, the Co2C nanoparticles alone may also act as dual active sites for oxygenate formation at high reaction pressure over the promoted catalysts with high Na loading.
文摘In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.
基金support fromthe National Natural Science Foundation of China(21873081and 22122109,X.H.,22103070,S.-Q.Z.)the Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study(SN-ZJU-SIAS-006,X.H.)+3 种基金Beijing National Laboratory for Molecular Sciences(BNLMS202102,X.H.)the Centerof Chemistry for Frontier Technologies and Key Laboratory of Precise Synthesis of Functional Molecules of Zhejiang Province(PSFM 2021-01,X.H.)the State Key Laboratory of Clean Energy Utilization(ZJUCEU2020007,X.H.)CAS Youth Interdisciplinary Team(JCTD-2021-11,X.H.)。
文摘Data-driven approach has emerged as a powerful strategy in the construction of structure-performance relationships in organic synthesis.To close the gap between mechanistic understanding and synthetic prediction,we have made efforts to implement mechanistic knowledge in machine learning modelling of organic transformation,as a way to achieve accurate predictions of reactivity,regio-and stereoselectivity.We have constructed a comprehensive and balanced computational database for target radical transformations(arene C—H functionalization and HAT reaction),which laid the foundation for the reactivity and selectivity prediction.Furthermore,we found that the combination of computational statistics and physical organic descriptors offers a practical solution to build machine learning structure-performance models for reactivity and regioselectivity.To allow machine learning modelling of stereoselectivity,a structured database of asymmetric hydrogenation of olefins was built,and we designed a chemical heuristics-based hierarchical learning approach to effectively use the big data in the early stage of catalysis screening.Our studies reflect a tiny portion of the exciting developments of machine learning in organic chemistry.The synergy between mechanistic knowledge and machine learning will continue to generate a strong momentum to push the limit of reaction performance prediction in organic chemistry.
文摘In this editorial,I comment on the article by Zhang et al.To emphasize the importance of the topic,I discuss the relationship between the use of smart medical devices and mental health.Smart medical services have the potential to positively influence mental health by providing monitoring,insights,and inter-ventions.However,they also come with challenges that need to be addressed.Understanding the primary purpose for which individuals use these smart tech-nologies is essential to tailoring them to specific mental health needs and prefe-rences.
文摘This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised 540 Chinese senior secondary school students between the ages of 15–18(51.67%boys;Mage=16.56 years;SDage=0.90).They completed surveys on the Teacher-Student Relationship Scale,the Selection,Optimization,and Compensation(SOC)Scale,the Peer Relationship Scale for Children and Adolescents,and the Learning Engagement Scale.The results following regression analysis showed that teacher-student relationship predicted higher learning engagement among senior secondary school students.Intentional self-regulation partially mediated the link between teacher-student relationship and learning engagement for higher learning engagement.Peer relationship moderated the relationships between teacher-student relationship and learning engagement and moderated the relationship between teacher-student relationship and intentional self-regulation for higher learning engagement.Thesefindings imply learning engagement can be enhanced by optimizing teacher-student relationship and strengthening intentional self-regulation interventions.
基金supported by the Fundamental Research Funds for the Central Universities(Grant No.B240201068)the National Natural Science Foundation of China(Grant No.42361144861)the National Basic Research Program of China(Grant No.2014CB954303).
文摘The relationship between ecosystem services(ES)and human well-being(HWB)is fundamental to the science and practice of sustainability.However,studies have shown conflicting results,which has been attributed to the influences of indicators,contexts,and scales.Yet,another potential factor,which has been overlooked,may be the mixed use of spatial and temporal approaches.Using twelve ES and seven well-being indicators and multiple statistical methods,we quantified and compared the spatial and temporal ES–HWB relationships for Inner Mongolia,China.The spatial and temporal relationships differed in both correlation direction and strength.Most relationships of economic and employment-related indicators with food provisioning and supporting services were temporally positive but spatially nonsignificant or negative.Some relationships of economic and employmentrelated indicators with water retention,sandstorm prevention,and wind erosion were temporally negative but spatially complex.However,the spatial and temporal ES–HWB relationships could also be similar in some cases.We conclude that although both the spatial and temporal approaches have merits,space generally cannot substitute for time in the study of ES–HWB relationship.Our study helps reconcile the seemingly conflicting findings in the literature,and suggests that future studies should explicitly distinguish between the spatial and temporal ES–HWB relationships.
基金supported by the 2024 Henan Province Philosophy and Social Science Planning Project(Youth Project)entitled“Research on the Mechanism and Intervention of Self-Regulated Learning in Promoting Children’s Chinese Reading Comprehension”(2024CJY070).
文摘This study examined the impact of teacher-student relationship quality on students’risk of bullying victimiza-tion and the mediating roles of student-student relationships and student engagement in this relationship.A total of 656 Chinese junior high school students(females=361,mean age=13.75,SD=0.98)completed validated measures of teacher-student relationship quality,student-student relationship quality,student engagement,and bullying victimization.Regression analysis results indicated that higher teacher-student relationship quality predicted a lower risk of student bullying victimization.Serial mediating effect testing of the student-student relationship quality and student engagement revealed that these factors fully mediated the relationship between teacher-student relationship quality and bullying victimization,resulting in a lower risk of bullying victimization.The results showed that student-student relationship quality had a more substantial mediating effect than student engagement.Thefindings support the Socio-Ecological Framework,suggesting that within the Microsystem,interactions between individuals and their immediate environments significantly impact their behavior.Specifically,thesefindings suggest that good teacher-student relationships can enhance the quality of student-student relationships and student engagement,thereby preventing and reducing the occurrence of bullying victimization.
文摘Since China’s reform and development,under the influence of the global religious and cultural boom,it has also focused on studying Islamic culture and related fields,resulting in many important representative works.The main characteristic of writing books in this area is to use popular knowledge materials that are suitable for various sectors of society.There are also works exploring the historical evolution of Islamic culture in China,which involve the relationship between Islamic culture and traditional Chinese culture.Before the 1980s,there were no significant achievements in publishing papers.However,since the 1990s,there has been a noticeable increase in papers related to Islamic culture and related fields,with new advances in research areas and methods.There are both articles that explore the attributes and characteristics of Islamic culture from the perspectives of world history and culture,as well as many articles that explore various specific aspects of Islamic culture from the perspective of specific topics.In this article,the author collects academic achievements in the study of Islamic culture in China and introduces them to the academic community,letting them know about China's research on world Islamic culture.
基金supported by National Key R&D Program of China(2022YFF1100300)Joint Fund of Henan Province Science and Technology R&D Program(235200810051)+1 种基金Key Project in Science and Technology Agency of Henan Province(242102310561)key research projects of higher education institutions in Henan Province(24B350002).
文摘Soybean is widely used in diets,and numerous reports have highlighted its antioxidant properties.However,constructing a methodology for rapid identifying and predicting a series of antioxidant active ingredients in Soybean presents certain challenges.Therefore,we introduced the spectrum-effect relationship-ingredient knockout identification technique to identify a series of antioxidant active ingredients in soybean.By combining untargeted metabolomics with network pharmacology,we predicted the antioxidant active ingredients and their target sites.We successfully identified 4 antioxidant active compounds(daidzein,genistein,daidzein,and glycitin)and 10 corresponding antioxidant targets(epidermal growth factor receptor(EGFR),estrogen receptor 1(ESR1),steroid receptor coactivator(SRC),tumor necrosis factor(TNF),kinase insert domain receptor(KDR),AKT serine/threonine kinase 1(AKT1),growth factor receptor bound protein 2(GRB2),signal transducer and activator of transcription1(STAT1),mitogen-activated protein kinase 8(MAPK8),B-cell lymphoma-2(BCL2))by our analysis.The validation results from cell experiments revealed that glycitin exhibited the best antioxidant activity and significantly influenced the expression of EGFR and the proteins associated with nuclear factor erythroid 2-related factor 2/NAD(P)H quinone dehydrogenase 1(NRF2/NQO1)signaling pathways.These findings were consistent with the predicted outcomes and were further confirmed in a zebrafish model.It suggests that glycitin may exert antioxidant effects by regulating the expression of EGFR,NRF2,and NQO1 proteins.The results demonstrate that a rapid analytical method for determining antioxidant activity was established.
文摘BACKGROUND Hyperglycemia secondary to diabetes can lead to organ failure unless properly controlled,and it is associated with numerous health issues,particularly metabolic problems.Breast cancer is one of the most common malignancies in females worldwide and represents a major health concern due to its morbidity and mortality.The progression of the disease and the response to treatment depend on numerous variables,including both tumor biology and patient-related factors.Key prognostic indicators include age,tumor size,lymph node involvement,histological type,hormone receptor status,and expression of biomarkers such as HER2.AIM To investigate the relationship between preoperative blood glucose levels and cancer prognostic factors in patients diagnosed with breast cancer.METHODS In this study patients diagnosed with breast cancer were classified into two groups:Those with blood glucose levels<125 mg/dL and those with levels>125 mg/dL.Estrogen and progesterone receptor positivity,Ki-67 percentage,Cerb2 positivity,number of positive lymph nodes,and presence of lymphovascular invasion were examined histopathologically.RESULTS The study included 246 patients with breast cancer:196 were in the normal glucose group and 50 were in the elevated glucose group.In the normal glucose group,68%of the tumors were left-sided and 32%were right-sided,while all tumors in the elevated glucose group were left-sided.This difference was statistically significant(P<0.001).Tumor size,Ki-67,and the number of positive lymph nodes were not associated with blood glucose in patients with breast cancer(P>0.05 for all).However,blood glucose was correlated with age in this population.Correlation analyses revealed that blood glucose was positively correlated with age(r=0.23,P<0.001).Additionally,Ki-67 was correlated with tumor size(r=0.14,P=0.03)and age(r=-0.18,P=0.005).CONCLUSION Our study highlighted the complex interplay between metabolic factors,such as fasting glucose levels,and breast cancer characteristics.Elevated glucose levels were associated with older age.The significant association between tumor laterality and glucose levels underscores the need for further investigation into the collective influence of metabolic and anatomical factors on breast cancer development and progression.
基金funded by the following projects:National Social Science Fund Project“The Empowerment Mechanism of Physical Exercise on Emotional Regulation in Adolescents”(23BTY116)Leshan Normal University 2024 Research Cultivation Project:“Research on the Trajectory Effect of Family Cumulative Risk and Home-based Activity of Adolescents”(KYPY2025-0014)+1 种基金Key Humanities and Social Sciences Cultivation Project of Leshan Normal University:“Research on the Sequence Difference of Knowledge and Behavior of Physical Activity among Adolescents and the Compensation Mechanism”and Sichuan Province College Students’Sports Association Annual Project“The Trajectory Effect of Family Cumulative Risk and Adolescents’Home Physical Activity”(23CDTXQ004).
文摘Background With the rapid growth of internet usage,adolescent cyberbullying has become a pressing issue.This study examines the longitudinal impact of leisure-time physical activity and peer relationships on cyberbullying over a one-year period,drawing on the Stage-Environment Fit Theory and the Interpersonal Relationship Theory.Methods A three-wave longitudinal study was conducted over one year,involving 896 middle school students from five schools in Sichuan,Jiangsu,and Guangdong,China,selected to ensure regional diversity.Participants were recruited using stratified random sampling,and data were collected at four-month intervals.Leisure-time physical activity,peer relationships,and cyberbullying behaviors were assessed using validated scales.Data were analyzed using latent growth modeling(LGM)and structural equation modeling(SEM)to examine longitudinal effects and mediation relationships.Results(1)Leisure-time physical activity,peer relationships,and cyberbullying behaviors remained relatively stable over time.(2)Both leisure-time physical activity and peer relationships significantly reduced future cyberbullying incidents,with physical activity also enhancing subsequent peer relationships.(3)Peer relationships partially mediated the effect of leisure-time physical activity on cyberbullying,indicating that improved peer interactions contributed to a reduction in cyberbullying behaviors.Conclusion This study found that leisure-time sports activities and peer relationships are important factors affecting cyberbullying,and peer relationships play a partial mediating role in it.The results provide empirical support for understanding the formation mechanism and influencing factors of cyberbullying.
基金supported by the Shanghai Sailing Program,China(Grant No.:23YF1413300).
文摘Quantitative structure-retention relationship(QSRR)is an important tool in chromatography.QSRR examines the correlation between molecular structures and their retention behaviors during chromatographic separation.This approach involves developing models for predicting the retention time(RT)of analytes,thereby accelerating method development and facilitating compound identification.In addition,QSRR can be used to study compound retention mechanisms and support drug screening efforts.This review provides a comprehensive analysis of QSRR workflows and applications,with a special focus on the role of artificial intelligence-an area not thoroughly explored in previous reviews.Moreover,we discuss current limitations in RT prediction and propose promising solutions.Overall,this review offers a fresh perspective on future QSRR research,encouraging the development of innovative strategies that enable the diverse applications of QSRR models in chromatographic analysis.
基金supported by National Natural Science Foundation of China(Grant No.51975146)Natural Science Foundation of Shandong Province(Grant No.ZR2020QE171)。
文摘This paper explored how the work hardening process enhances the yield strength(YS)of magnesium alloy and established a novel quantitative relationship between microstructure and YS.The YS of an extruded Mg–Nd–Zn–Zr alloy was nearly tripled by rotary swaging at 200℃,attributing to dislocation accumulation,grain fragmentation,and basal texture formation.A modified Hall–Petch relationship(GM–HP)was established by introducing the equivalent orientation factor and dislocation density to accurately quantify the YS and the contribution of each strengthening mechanism.The contributions of dislocation hardening and grain boundary strengthening were multiplied by the strong basal texture.This paper offered valuable insights and guidance for designing and optimizing high-strength wrought magnesium alloys and their plastic processing methods.
基金The 2024 Higher Education Teaching Reform Project of Guangdong University of Science and Technology,“Teaching Practice of Human Resource Management Course Based on SPOC+FC Hybrid Teaching Mode”(GKZLGC2024024)。
文摘With the rapid development of artificial intelligence(AI)technology,its application in higher education has gradually shifted from traditional teaching aids to deeper levels of interactive learning and emotional connection support.AI can enhance teaching efficiency,personalized learning,and real-time feedback;however,in areas such as emotional communication and teacher-student interaction,AI still cannot fully replace the role of teachers.This study aims to explore the transformation of teacher-student relationships in the era of AI,analyze the impact of AI technology on teaching interaction,emotional support,and teacher-student trust,and propose strategies to address these challenges.The research findings indicate that while AI has significant advantages in improving educational efficiency,it has limitations in interpersonal emotional support and the transformation of the teacher’s role.To ensure the comprehensiveness and humanization of education,educators should strengthen emotional care and improve students’emotional literacy in the use of AI,and implement transparent data management and privacy protection measures to enhance teacher-student trust.The study also suggests that by enhancing teacher-student trust,strengthening emotional support,and increasing transparency,educators can effectively address the challenges of teacher-student relationships in the AI era.This research provides theoretical support and practical guidance for the integration of AI technology with educational humanistic care,promoting more comprehensive,personalized,and humane educational development.
文摘Digital sculpture is the product of the cross-integration of art and technology,and its development is accompanied by the two-way interaction between technological innovation and artistic concepts.Based on this,this paper mainly analyzes the remolding of artistic creation logic by technical tools and the expansion of technical application boundary by artistic expression,and further reveals the dynamic balance relationship between the two in symbiosis,hoping to help understand the accompanying mechanism of art and technology in the digital age.
文摘The interaction between supply chain relationships and corporate finance has become a focal issue in academic and practical circles,especially under the dual drivers of globalization and marketization.This paper systematically reviews existing research on this topic,covering theoretical foundations from perspectives such as agency theory,stakeholder theory,and co-opetition game theory,which explain the nature of customer-supplier relationships.It also combs through empirical studies from four core angles:competition-cooperation,signal transmission,spillover effects,and information transfer,summarizing findings on how supply chain relationships impact corporate investment,financing,operations,and performance,as well as existing controversies.The aim is to clarify the research context,identify theoretical and empirical gaps,and provide theoretical support and direction for deepening future research on supply chain and corporate finance.
基金jointly supported by the National Natural Science Foundation of China[grant numbers 41605058 and 41831175]the Joint Open Project of the Key Laboratory of Meteorological Disaster,the Ministry of Education,the Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,NUIST[grant number KLME202104]。
文摘This study investigated the fluctuations in the relationship between the Silk Road Pattern(SRP)and the boreal summer North Atlantic Oscillation(SNAO).The results indicated that the SRP–SNAO relationship was relatively weak during 1958–2022,which was primarily due to fluctuations,particularly the reversal in their relationship since the late 1990s.Using wavelet coherence analysis,the authors identified a strong SRP–SNAO linkage on a 4–8-yr timescale,in particular during the mid-1970s to the early/mid-1990s.This strong linkage is mainly attributable to the intensification and eastward movement of the southern part of the SNAO around the mid/late 1970s,which favored the strong connection between the SNAO and the SRP.Additionally,the interdecadal changes of the atmospheric circulations over the North Atlantic and Eurasia around the mid/late 1970s that resembled the circulation anomalies related to the strong SRP–SNAO linkage,may also have provided a favorable background for the strong connection between the two teleconnections.These findings on the fluctuations in the SRP–SNAO linkage may offer important implications for understanding the impact of the SNAO on the SRP and the variability of the SRP.
基金Project(2022A02480004)supported by the Major Project of China Railway Design CorporationProject(2023RC1011)supported by the Science and Technology Innovation Program of Hunan Province,China+2 种基金Project(2024JJ6515)supported by the Hunan Provincial Natural Science Foundation,ChinaProject(kq2402220)supported by the Natural Science Foundation of Changsha City,ChinaProject(52402438)supported by the National Natural Science Foundation of China。
文摘To enhance the resistance of honeycomb sandwich panel against local impact,this study delved into the matching relationship between face sheets and core.An integrated approach,combining experiment,simulation,and theoretical methods,was used.Local loading experiments were conducted to validate the accuracy of the finite element model.Furthermore,a control equation was formulated to correlate structural parameters with response modes,and a matching coefficientλ(representing the ratio of core thickness to face sheet thickness)was introduced to establish a link between these parameters and impact characteristics.A demand-driven reverse design methodology for structural parameters was developed,with numerical simulations employed to assess its effectiveness.The results indicate that the proposed theory can accurately predict response modes and key indicators.An increase in theλbolsters the structural indentation resistance while concurrently heightens the likelihood of penetration.Conversely,a decrease in theλimproves the resistance to penetration,albeit potentially leading to significant deformations in the rear face sheet.Numerical simulations demonstrate that the reverse design methodology significantly enhances the structural penetration resistance.Comparative analyses indicate that appropriate matching reduces indentation depth by 27.4% and indentation radius by 41.8%of the proposed structure.
