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 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
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
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
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
Spatial relationships are core components in the design and definition of spatial queries.A spatial relationship determines how two or more spatial objects are related or connected in space.Hence,given a spatial datas...Spatial relationships are core components in the design and definition of spatial queries.A spatial relationship determines how two or more spatial objects are related or connected in space.Hence,given a spatial dataset,users can retrieve spatial objects in a given relationship with a search object.Different interpretations of spatial relationships are conceivable,leading to different types of relationships.The main types are(i)topological relationships(e.g.overlap,meet,inside),(ii)metric relationships(e.g.nearest neighbors),and(iii)direction relationships(e.g.cardinal directions).Although spatial information retrieval has been extensively studied in the literature,it is unclear which types of spatial queries can be defined using spatial relationships.In this article,we introduce a taxonomy for naming,describing,and classifying types of spatial queries frequently found in the literature.This taxonomy is based on the types of spatial relationships that are employed by spatial queries.By using this taxonomy,we discuss the intuitive descriptions,formal definitions,and possible implementation techniques of several types of spatial queries.The discussions lead to the identification of correspondences between types of spatial queries.Further,we identify challenges and open research topics in the spatial information retrieval area.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 literature review explores the complex relationship between loneliness and mortality,emphasizing its eff ects on physical and mental health across diff erent age groups.Drawing on studies from both Western and As...This literature review explores the complex relationship between loneliness and mortality,emphasizing its eff ects on physical and mental health across diff erent age groups.Drawing on studies from both Western and Asian contexts,the review highlights that loneliness contributes to increased risks of depression,cardiovascular diseases,substance abuse,and ultimately premature death,particularly among the elderly.It investigates how social relationships,living arrangements,cultural traditions,and institutional frameworks shape the experience of loneliness and its health outcomes.While some findings suggest a direct correlation between loneliness and mortality,others point to mediating factors such as health behavior and access to social or religious support.The paper also examines intervention strategies and proposes that targeted community-based programs and educational engagement may mitigate loneliness-related health risks.The fi ndings underscore the need for more cross-cultural,longitudinal studies and policy-level interventions.展开更多
BACKGROUND Hypertension is a chronic cardiovascular disease characterized by persistently elevated arterial blood pressure.It is not only a significant risk factor for cardio-vascular and cerebrovascular diseases(such...BACKGROUND Hypertension is a chronic cardiovascular disease characterized by persistently elevated arterial blood pressure.It is not only a significant risk factor for cardio-vascular and cerebrovascular diseases(such as myocardial infarction and stroke)but also closely related to multiple organ damages(such as kidney disease and retinopathy),imposing a heavy health and economic burden on individuals and society.AIM To investigate the expression differences and relationships of endothelin-1(ET-1),interleukin-6(IL-6),stem cell factor(SCF),and its receptor(c-kit)in hypertensive patients with or without depression.METHODS A retrospective analysis was conducted on the clinical data of 163 hypertensive patients admitted to our hospital from March 2022 to January 2024.Based on the presence of depression,patients were divided into Group A(n=77,with depre-ssion)and Group B(n=86,without depression).Serum levels of ET-1 and IL-6 were measured using radioimmunoassay,while serum levels of SCF and c-kit were measured using ELISA.The differences in ET-1,IL-6,SCF,and c-kit levels between Groups A and B were compared.Additionally,the differences in these biomarkers among patients with varying degrees of depression in Group A were analyzed.Pearson correlation analysis was used to examine the relationship between ET-1,IL-6,SCF,c-kit levels,and Hamilton depression rating scale(HAMD)scores.Multivariate logistic regression analysis was performed to identify factors influencing hypertension with depression.The diagnostic efficacy of individual and combined biomarkers was analyzed using receiver operating characteristic(ROC)curves.Comparative statistical analysis of the area under the curve(AUC)values was performed using DeLong’s test to assess the superiority of combined biomarker detection.RESULTS The levels of ET-1 and IL-6 in Group A were significantly higher than those in Group B,while the levels of SCF and c-kit were significantly lower in Group A compared to Group B(P<0.05).In the severe depression subgroup,ET-1 and IL-6 levels were higher than those in the mild-to-moderate depression subgroup,while SCF and c-kit levels were lower(P<0.05).Pearson correlation analysis showed that ET-1 and IL-6 levels were positively correlated with HAMD scores(r=0.442,0.463,P<0.05),while SCF and c-kit levels were negatively correlated with HAMD scores(r=-0.429,-0.394,P<0.05).Multivariate logistic regression analysis revealed that high ET-1,high IL-6,low SCF,and low c-kit were independent influencing factors for hypertension with depression(P<0.05).ROC analysis revealed AUCs of 0.746(ET-1),0.801(IL-6),0.732(SCF),0.779(c-kit),and 0.884(combination).The combined diagnosis demonstrated significantly higher AUC than individual markers(DeLong's test,P<0.01),with superior sensitivity(90.24%)and specificity(85.37%).CONCLUSION Compared to patients with hypertension alone,patients with hypertension and depression exhibited higher serum levels of ET-1 and IL-6 and lower levels of SCF and c-kit.High ET-1,high IL-6,low SCF,and low c-kit were inde-pendent influencing factors for hypertension with depression.The combination of ET-1,IL-6,SCF,and c-kit demonstrated significant diagnostic value for hypertension with depression.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
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
Within the prefrontal-cingulate cortex,abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions,contributing to the development of mental disorders such as depression.Despite ...Within the prefrontal-cingulate cortex,abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions,contributing to the development of mental disorders such as depression.Despite this understanding,the neural circuit mechanisms underlying this phenomenon remain elusive.In this study,we present a biophysical computational model encompassing three crucial regions,including the dorsolateral prefrontal cortex,subgenual anterior cingulate cortex,and ventromedial prefrontal cortex.The objective is to investigate the role of coupling relationships within the prefrontal-cingulate cortex networks in balancing emotions and cognitive processes.The numerical results confirm that coupled weights play a crucial role in the balance of emotional cognitive networks.Furthermore,our model predicts the pathogenic mechanism of depression resulting from abnormalities in the subgenual cortex,and network functionality was restored through intervention in the dorsolateral prefrontal cortex.This study utilizes computational modeling techniques to provide an insight explanation for the diagnosis and treatment of depression.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 release of accumulated stress through earthquakes is known to devote to the mud volcanism occurrence,which may in turn affect subsequent regional seismicity.Mud volcanoes have been observed on the northeast contin...The release of accumulated stress through earthquakes is known to devote to the mud volcanism occurrence,which may in turn affect subsequent regional seismicity.Mud volcanoes have been observed on the northeast continental margin of the South China Sea as well.Based on the mud volcanoes and earthquakes catalogue,we measured the spatial and temporal distribution of z and b values,to explore the geodynamic process of the repeated eruptions of mud volcanoes influence on the regional seismicity.The results suggest a close correlation between the b-z values and mud volcanism occurrence in the SW Taiwan.Generally,the z-value anomalies in where the mud volcanoes eruptions show unchanged negative values and indicate seismic quiescence before a big earthquake,whereas the b-values often show periodicity fluctuations around the value of 0.5.This may indicate a mutual triggering relationship between the mud volcanoes and earthquakes.We infer that mud volcano eruptions help to partition and release part of the regional stress accumulation from the seismogenic structures,thus balancing the local stress and mitigating large-magnitude seismicity occurring probability.展开更多
In recent years,deep learning has made significant advancements in skin cancer diagnosis.However,most methods prioritize high prediction accuracy without considering the limitations of computational resources,making t...In recent years,deep learning has made significant advancements in skin cancer diagnosis.However,most methods prioritize high prediction accuracy without considering the limitations of computational resources,making them impractical for wearable devices.In this case,knowledge distillation has emerged as an effective method,capable of significantly reducing a model’s reliance on computational and storage resources.Nonetheless,previous research suffers from two limitations:1)the student model can only passively receive knowledge from the teacher model,and 2)the teacher model does not effectively model sample relationships during training,potentially hindering the effective transfer of sample relationship-related knowledge during knowledge distillation.To address these issues,we employ two identical student models,each equipped with a sample relationship module.This design ensures that the student models can mutually learn while modeling sample relationships.We conducted extensive experiments on the ISIC 2019 dataset to validate the effectiveness of our method.The results demonstrate that our approach significantly improves the recognition of various types of skin diseases.Compared to state-of-the-art methods,our approach exhibits higher accuracy and better generalization capabilities.展开更多
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.
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 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.
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.
基金financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil(CAPES)-Finance Code 001.Anderson C.Carniel was supported by Google as a recipient of the 2022 Google Research Scholar program.
文摘Spatial relationships are core components in the design and definition of spatial queries.A spatial relationship determines how two or more spatial objects are related or connected in space.Hence,given a spatial dataset,users can retrieve spatial objects in a given relationship with a search object.Different interpretations of spatial relationships are conceivable,leading to different types of relationships.The main types are(i)topological relationships(e.g.overlap,meet,inside),(ii)metric relationships(e.g.nearest neighbors),and(iii)direction relationships(e.g.cardinal directions).Although spatial information retrieval has been extensively studied in the literature,it is unclear which types of spatial queries can be defined using spatial relationships.In this article,we introduce a taxonomy for naming,describing,and classifying types of spatial queries frequently found in the literature.This taxonomy is based on the types of spatial relationships that are employed by spatial queries.By using this taxonomy,we discuss the intuitive descriptions,formal definitions,and possible implementation techniques of several types of spatial queries.The discussions lead to the identification of correspondences between types of spatial queries.Further,we identify challenges and open research topics in the spatial information retrieval area.
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.
文摘This literature review explores the complex relationship between loneliness and mortality,emphasizing its eff ects on physical and mental health across diff erent age groups.Drawing on studies from both Western and Asian contexts,the review highlights that loneliness contributes to increased risks of depression,cardiovascular diseases,substance abuse,and ultimately premature death,particularly among the elderly.It investigates how social relationships,living arrangements,cultural traditions,and institutional frameworks shape the experience of loneliness and its health outcomes.While some findings suggest a direct correlation between loneliness and mortality,others point to mediating factors such as health behavior and access to social or religious support.The paper also examines intervention strategies and proposes that targeted community-based programs and educational engagement may mitigate loneliness-related health risks.The fi ndings underscore the need for more cross-cultural,longitudinal studies and policy-level interventions.
文摘BACKGROUND Hypertension is a chronic cardiovascular disease characterized by persistently elevated arterial blood pressure.It is not only a significant risk factor for cardio-vascular and cerebrovascular diseases(such as myocardial infarction and stroke)but also closely related to multiple organ damages(such as kidney disease and retinopathy),imposing a heavy health and economic burden on individuals and society.AIM To investigate the expression differences and relationships of endothelin-1(ET-1),interleukin-6(IL-6),stem cell factor(SCF),and its receptor(c-kit)in hypertensive patients with or without depression.METHODS A retrospective analysis was conducted on the clinical data of 163 hypertensive patients admitted to our hospital from March 2022 to January 2024.Based on the presence of depression,patients were divided into Group A(n=77,with depre-ssion)and Group B(n=86,without depression).Serum levels of ET-1 and IL-6 were measured using radioimmunoassay,while serum levels of SCF and c-kit were measured using ELISA.The differences in ET-1,IL-6,SCF,and c-kit levels between Groups A and B were compared.Additionally,the differences in these biomarkers among patients with varying degrees of depression in Group A were analyzed.Pearson correlation analysis was used to examine the relationship between ET-1,IL-6,SCF,c-kit levels,and Hamilton depression rating scale(HAMD)scores.Multivariate logistic regression analysis was performed to identify factors influencing hypertension with depression.The diagnostic efficacy of individual and combined biomarkers was analyzed using receiver operating characteristic(ROC)curves.Comparative statistical analysis of the area under the curve(AUC)values was performed using DeLong’s test to assess the superiority of combined biomarker detection.RESULTS The levels of ET-1 and IL-6 in Group A were significantly higher than those in Group B,while the levels of SCF and c-kit were significantly lower in Group A compared to Group B(P<0.05).In the severe depression subgroup,ET-1 and IL-6 levels were higher than those in the mild-to-moderate depression subgroup,while SCF and c-kit levels were lower(P<0.05).Pearson correlation analysis showed that ET-1 and IL-6 levels were positively correlated with HAMD scores(r=0.442,0.463,P<0.05),while SCF and c-kit levels were negatively correlated with HAMD scores(r=-0.429,-0.394,P<0.05).Multivariate logistic regression analysis revealed that high ET-1,high IL-6,low SCF,and low c-kit were independent influencing factors for hypertension with depression(P<0.05).ROC analysis revealed AUCs of 0.746(ET-1),0.801(IL-6),0.732(SCF),0.779(c-kit),and 0.884(combination).The combined diagnosis demonstrated significantly higher AUC than individual markers(DeLong's test,P<0.01),with superior sensitivity(90.24%)and specificity(85.37%).CONCLUSION Compared to patients with hypertension alone,patients with hypertension and depression exhibited higher serum levels of ET-1 and IL-6 and lower levels of SCF and c-kit.High ET-1,high IL-6,low SCF,and low c-kit were inde-pendent influencing factors for hypertension with depression.The combination of ET-1,IL-6,SCF,and c-kit demonstrated significant diagnostic value for hypertension with depression.
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.
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supported by the Major Research Instrument Development Project of the National Natural Science Foundation of China(82327810)the Foundation of the President of Hebei University(XZJJ202202)the Hebei Province“333 talent project”(A202101058).
文摘Within the prefrontal-cingulate cortex,abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions,contributing to the development of mental disorders such as depression.Despite this understanding,the neural circuit mechanisms underlying this phenomenon remain elusive.In this study,we present a biophysical computational model encompassing three crucial regions,including the dorsolateral prefrontal cortex,subgenual anterior cingulate cortex,and ventromedial prefrontal cortex.The objective is to investigate the role of coupling relationships within the prefrontal-cingulate cortex networks in balancing emotions and cognitive processes.The numerical results confirm that coupled weights play a crucial role in the balance of emotional cognitive networks.Furthermore,our model predicts the pathogenic mechanism of depression resulting from abnormalities in the subgenual cortex,and network functionality was restored through intervention in the dorsolateral prefrontal cortex.This study utilizes computational modeling techniques to provide an insight explanation for the diagnosis and treatment of depression.
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.
基金supported by the Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(No.SML2021SP318)the National Postdoctoral Program for Innovative Talents(No.BX20190391)+1 种基金the Guangdong Province Introduced Innovative R&D Team of Geological Processes and Natural Disasters around the South China Sea founded by the Science and Technology Department of Guangdong Province(No.2016ZT06N331)the Guangdong Basic and Applied Basic Research Foundation(Nos.2019A1515110305,2021A1515011130,2021A1515110288)。
文摘The release of accumulated stress through earthquakes is known to devote to the mud volcanism occurrence,which may in turn affect subsequent regional seismicity.Mud volcanoes have been observed on the northeast continental margin of the South China Sea as well.Based on the mud volcanoes and earthquakes catalogue,we measured the spatial and temporal distribution of z and b values,to explore the geodynamic process of the repeated eruptions of mud volcanoes influence on the regional seismicity.The results suggest a close correlation between the b-z values and mud volcanism occurrence in the SW Taiwan.Generally,the z-value anomalies in where the mud volcanoes eruptions show unchanged negative values and indicate seismic quiescence before a big earthquake,whereas the b-values often show periodicity fluctuations around the value of 0.5.This may indicate a mutual triggering relationship between the mud volcanoes and earthquakes.We infer that mud volcano eruptions help to partition and release part of the regional stress accumulation from the seismogenic structures,thus balancing the local stress and mitigating large-magnitude seismicity occurring probability.
基金supported by the Research Foundation of Yunnan Province No.202001BB050043 and 202105AF150011National Natural Science Foundation of China under Grants No.62162065Provincial Foundation for Leaders of Disciplines in Science and Technology No.2019HB121.
文摘In recent years,deep learning has made significant advancements in skin cancer diagnosis.However,most methods prioritize high prediction accuracy without considering the limitations of computational resources,making them impractical for wearable devices.In this case,knowledge distillation has emerged as an effective method,capable of significantly reducing a model’s reliance on computational and storage resources.Nonetheless,previous research suffers from two limitations:1)the student model can only passively receive knowledge from the teacher model,and 2)the teacher model does not effectively model sample relationships during training,potentially hindering the effective transfer of sample relationship-related knowledge during knowledge distillation.To address these issues,we employ two identical student models,each equipped with a sample relationship module.This design ensures that the student models can mutually learn while modeling sample relationships.We conducted extensive experiments on the ISIC 2019 dataset to validate the effectiveness of our method.The results demonstrate that our approach significantly improves the recognition of various types of skin diseases.Compared to state-of-the-art methods,our approach exhibits higher accuracy and better generalization capabilities.
