Porous hydrogel sensors have attracted significant attention in fields such as smart wearables and medical monitoring due to their high sensitivity.However,existing fabrication methods typically degrade the surface sm...Porous hydrogel sensors have attracted significant attention in fields such as smart wearables and medical monitoring due to their high sensitivity.However,existing fabrication methods typically degrade the surface smoothness of hydrogels when introducing porous structures and face significant challenges in removing fillers completely.To address these challenges,we herein introduce a novel one-step,thermosensitive spray-coating technique for the preparation of aircell hydrogel(ACH).This method leverages the rapid cooling of a thermoresponsive gelatin methacryloyl solution through atomization,enabling rapid cross-linking within seconds and air bubbles encapsulated in situ.Additionally,the transient flow of the pre-gel facilitates the repair of voids formed by ruptured surface bubbles,leading to the creation of the ACH with uniformly distributed inner air bubbles and a smooth outer surface.The mold-free fabrication method is independent of substrate surface properties,enabling the creation of a porous hydrogel film with a thickness as thin as 163 µm.Furthermore,the dual-crosslinked network endows the ACH with excellent anti-swelling properties,and the physical crosslinking between gelatin molecules allows the ACH to self-heal.The ACH exhibits excellent sensitivity in deformation sensing and can even successfully track minor external forces,which enables it to effectively complete various tasks such as facial expression recognition,pitch differentiation,and motion detection.By integrating the ACH into a sensing glove,we also demonstrate the significant potential of the ACH for applications in human-machine interaction and tactile sensing.Ultimately,the ACH sensors are also applied to motion mapping and machine tactile feedback,indicating their promising potential in human-machine interaction.展开更多
To alleviate the conflicts resulting from lane-changing in human-machine co-driving,this study investigates four game scenarios:human-driven lanechanging vehicles(HLVs)and human-driven target vehicles(HTVs),HLVs and A...To alleviate the conflicts resulting from lane-changing in human-machine co-driving,this study investigates four game scenarios:human-driven lanechanging vehicles(HLVs)and human-driven target vehicles(HTVs),HLVs and Autonomous target vehicles(ATVs),autonomous lane-changing vehicles(ALVs)and HTVs,and ALVs and ATVs.An evolutionary game model is formulated by integrating safety,efficiency,comfort,fatigue,and energy-saving utilities.The strategy selection process of decision-makers is simulated by replicator dynamics equations.Based on the Friedman method,the stability of equilibrium points in different situations is analyzed,and the sensitivity of evolutionary results to utility parameters is clarified.Results show that the strategy profile of(lane-changing,not-giving-way)that causes conflicts only exists temporarily under certain conditions and will not become a long-term stable point.The game characteristics under different scenarios are obviously different;that is,the game evolutionary paths for autonomous vehicles are the most stable,while the adjustment of game strategies for human-driven vehicles is more frequent.Additionally,energy-saving promotes the formation of the strategy profile of(lane-changing,giving-way),while fatigue limits the frequent lane-changing of human-driven vehicles.The evolutionary game model proposed can provide theoretical support for improving the performance of the human-machine co-driving system.展开更多
Innovation spillovers from multinational corporations to domestic firms are increasingly prominent in global value chain(GVC)evolution,yet prior work has largely focused on technology transfer,leaving the distinct nat...Innovation spillovers from multinational corporations to domestic firms are increasingly prominent in global value chain(GVC)evolution,yet prior work has largely focused on technology transfer,leaving the distinct nature of innovation spillovers underexplored.Existing GVC literature also remains divided between intra-product and inter-product perspectives,overlooking GVC heterogeneity.This study examines two governance structures:OEM relationships(processbased,intra-product)and buyer-supplier relationships(modular-based,interproduct),and investigates their divergent innovation spillover effects,along with the moderating role of inter-organizational relationship(IOR)characteristics.Using an unbalanced panel of 2,150 transaction observations from 597 dyads across nine advanced manufacturing industries(2012-2022),we integrate annual transaction volumes with patent citations and subsequent innovation outcomes.Empirically,we find that innovation spillovers are significantly stronger in OEM relationships than in buyer-supplier relationships,with a positive interaction between the two chains.Furthermore,multidimensional IOR traits substantially affect both spillover magnitudes and the variance across GVC types.This study advances GVC research by shifting the focus from technology transfer to innovation spillovers and bridging intra-product and inter-product specialization divides.It offers exploratory theoretical insights and provides strategic implications for Chinese firms regarding GVC embeddedness and innovation decisions.展开更多
Controlling key drivers is essential to align the supply and demand of ecosystem services(ES)for sustainable development.However,spatial heterogeneity and nonlinearity are often overlooked in studying ES mismatch.Henc...Controlling key drivers is essential to align the supply and demand of ecosystem services(ES)for sustainable development.However,spatial heterogeneity and nonlinearity are often overlooked in studying ES mismatch.Hence,this paper evaluates the supply-demand balance of bundled ecosystem services in eastern China,revealing the spatial characteristics of the supply-demand relationship of ecosystem services.We used the InVEST model to assess ecosystem services,applied a Gaussian mixture model to identify distinct ES supply-demand bundles,and constructed a synergy network among bundles via weighted network analysis.We then employed redundancy analysis and generalized additive models to examine drivers.The main findings of this study are as follows:Ecosystem service demand increased by approximately 18.25%,showing a clear trend toward supply-demand mismatch.The results showed strong synergies among different supply-demand clusters,and the supply-demand relationships of the same ecosystem service were not entirely consistent across clusters.The NDVI emerged as the most influential factor affecting ES supply-demand relationships(exceeding 10%),but social factors had a greater average effect.This study emphasizes the importance of the spatial relationship and driving factors of the supply-demand states of services mismatch in formulating effective spatial strategies.展开更多
Backgrounds:Adolescent psychological well-being has become a pressing global concern,with rising levels of emotional distress among youth.Although prior research highlights the positive influence of teacher-student re...Backgrounds:Adolescent psychological well-being has become a pressing global concern,with rising levels of emotional distress among youth.Although prior research highlights the positive influence of teacher-student relationships,the underlying mechanisms—particularly the roles of school belonging,moral disengagement,and growth mindset—remain insufficiently understood.This study investigates the associations between teacher-student relationship quality and adolescent psychological well-being,examining school belonging and moral disengagement as potential mediators,and growth mindset as a moderator of these relationships.Methods:A total of 785 adolescents were recruited from six schools across Shanghai and Liaoning Province,China.Participants completed validated measures of teacher-student relationships,psychological well-being,school belonging,moral disengagement,and growth mindset.Data was analyzed using path analysis and moderation analyses with SPSS 23.0 and Mplus 8.3.Results:Teacher-student relationship quality demonstrated a strong positive association with psychological well-being(β=0.613,p<0.001).This association was mediated through three distinct pathways.School belonging served as a significant mediator(indirect effect=0.103,16.803%of total effect),as did moral disengagement(indirect effect=0.134,21.860%of total effect).Additionally,a sequential indirect pathway was identified,capturing the structural associations among the variables such that teacher-student relationship quality was related to school belonging,school belonging was related to moral disengagement,and moral disengagement was related to psychological well-being(indirect effect=0.040,accounting for 6.525%of the total effect).However,growth mindset did not significantly moderate the relationship between the teacher-student relationship and psychological well-being(interaction b=0.075,p=0.096).Conclusions:Teacher-student relationships are strongly associated with adolescent psychological well-being,with this association mediated through both cognitive-moral and socio-emotional pathways.The sequential mediation pattern is consistent with a developmentally coherent process wherein relational support may establish belonging as a foundation for moral engagement.Although growth mindset did not function as a significant moderator in this study,it remains a positive predictor of psychological well-being.These findings underscore the importance of comprehensive interventions that address relational quality,school connectedness,and moral development to promote adolescent mental health.展开更多
To promote the harmonious coexistence of cities and lakes and to achieve Sustainable Development Goals in the Taihu Lake Basin,we developed an analytical framework for city-lake symbiosis(CLS)on the basis of symbiosis...To promote the harmonious coexistence of cities and lakes and to achieve Sustainable Development Goals in the Taihu Lake Basin,we developed an analytical framework for city-lake symbiosis(CLS)on the basis of symbiosis theory.Using the Lotka-Volterra(L-V)model and a coordination degree model,we assessed the state and evolution of the CLS relationship.The findings reveal that urban development levels increased steadily from 27.36 in 1980 to 78.90 in 2020,whereas the ecological conditions of Taihu Lake initially decreased,followed by slow and fluctuating recovery.Overall,cities and Taihu Lake exhibited a“mutualism”relationship,withαandβvalues of-1.89 and-1.77,respectively,and a general upward trend in the degree of coordination over the study period.However,during the periods 1980-1998 and 2012-2016,the relationship displayed a pattern of“mutual damage”.The adverse effects of urban development accumulated gradually,in contrast to the rapid and abrupt deterioration observed in the lake.Ecological recovery in Taihu Lake progressed slowly and unevenly,stabilizing only after 2016 into a phase of sustained improvement.We recommend enhanced and coordinated efforts in ecological restoration and environmental governance to support this positive trajectory.展开更多
BACKGROUND Patients with ovarian cancer often experience significant psychological stress during chemotherapy,including emotional disorders such as anxiety and depression.AIM To analyze the application value of positi...BACKGROUND Patients with ovarian cancer often experience significant psychological stress during chemotherapy,including emotional disorders such as anxiety and depression.AIM To analyze the application value of positive emotion,engagement,relationships,meaning,and accomplishment(PERMA)well-being care combined with role model motivation in patients with ovarian cancer undergoing chemotherapy for anxiety and depression,with a focus on psychological health and compliance behavior.METHODS Seventy patients with ovarian cancer undergoing chemotherapy were recruited from a hospital between August 2022 and August 2024.They were randomly divided into two groups using a lottery method:The reference group(n=35,receiving routine care)and the experimental group(n=35,receiving PERMA wellbeing care combined with role model motivation in addition to routine care).Both groups received their respective interventions before and after chemo-therapy.Psychological state,mood state,compliance behavior,and cancer-related fatigue levels were assessed before and after the intervention.Data were analyzed using the SPSS software(version 26.0).RESULTS After the intervention,patients’psychological state improved,with the experimental group showing greater benefits than the control group.Specifically,the intervention group achieved an 8.8%reduction in anxiety,a 19.8%reduction in depressive symptoms,and a 7.8%increase in self-efficacy relative to controls(P<0.05).Mood state also improved more markedly in the experimental group,with significant reductions across tension-anxiety,depression-dejection,anger-hostility,fatigue-inertia,and confusion-bewilderment,alongside an increase in vigoractivity(P<0.05).The compliance rate was higher in the experimental group than in the control group(91.43%vs 71.43%,P<0.05).Cancer-related fatigue decreased in both groups,with the experimental group exhibiting greater reductions across emotional,cognitive,behavioral,and physical dimensions(P<0.05).CONCLUSION PERMA well-being care combined with role model motivation is effective in reducing anxiety and depression symptoms,improving mood states,enhancing compliance behavior,and alleviating cancer-related fatigue in patients with ovarian cancer undergoing chemotherapy for anxiety and depression.Therefore,this approach warrants broader clinical application.展开更多
Polymer-based piezoelectric films can be assembled into piezoelectric nanogenerators(PENGs),which can simultaneously serve as flexible pressure sensors and energy harvesting devices.However,the low piezoelectric outpu...Polymer-based piezoelectric films can be assembled into piezoelectric nanogenerators(PENGs),which can simultaneously serve as flexible pressure sensors and energy harvesting devices.However,the low piezoelectric output of PENGs is a major limitation for their practical applications.Herein,we propose a coaxial electrospinning strategy to generate a core-shell structured nanofiber film,which could significantly enhance the piezoelectric output compared to the traditional nanofiber film via conventional single-axial electrospinning.Notably,the as-prepared PENGs based on the core-shell structured Cs Cu Cl3/poly(vinylidene fluoride)(PVDF)nanofiber composite film(2 wt%)produced via coaxial spinneret exhibit a 60%increase in output voltage(increase from 48 V to 75 V)and a 50%increase in short-circuit current(increase from 0.2μA to0.3μA)compared to those prepared using a single-needle spinneret.More interestingly,this enhancement in piezoelectric performance is a universal phenomenon because the coaxial electrospinning process can induce greater polymer chain alignment in the shell layer and lead to increased crystallinity and a higher proportion of the piezoelectric-activeβ-phase.Owing to their enhanced piezoelectric output and high sensitivity to subtle pressure variations,the resulting PENGs demonstrate promising potential for human-machine interaction applications.This study offers a novel and broadly applicable approach to boost the piezoelectric performance of polymer-based PENGs.展开更多
The study of relationship emotions,a set of emotional and psychological responses that arise in a relationship,can help develop more humanized artificial intelligence,improve human–computer interaction,and even creat...The study of relationship emotions,a set of emotional and psychological responses that arise in a relationship,can help develop more humanized artificial intelligence,improve human–computer interaction,and even create more immersive experiences in virtual and augmented reality.Due to the nonlinear and feedback-driven nature of relational affect,which aligns closely with chaos theory,and the ability of leaky integrate-and-fire(LIF)neuron models to simulate dopaminerelated electrical activity in brain nuclei,this study innovatively integrates both approaches.By linking the membrane potential signals of LIF neurons to relational affect equations,it achieves a refined modeling of the mechanisms underlying relational affect generation.This paper adds the LIF neuron model to the relationship emotion model to construct a new LIF relationship emotion model(LRM).The effect of the parameters in the LRM on the relationship emotions generated by the model is investigated using numerical analysis.This includes the firing behavior produced by LIF neurons and a study of relationship emotions produced by different initial relationship emotion states under the same conditions.Finally,the feasibility of LRM is verified using a digital signal processing(DSP)platform.This process not only verifies the feasibility of LRM but also provides new ideas and methods for future research in affective computing and human–computer interaction.展开更多
Background:During the upper primary school years,children’s primary interpersonal relationships shift from parent-child interactions to peer relationships.This study investigated the underlying mechanisms between par...Background:During the upper primary school years,children’s primary interpersonal relationships shift from parent-child interactions to peer relationships.This study investigated the underlying mechanisms between parenting styles and primary school students’peer relationships,providing theoretical guidance for fostering harmonious peer interactions.Methods:A cluster sampling design was employed,yielding 702 valid responses from fifth and sixth-grade students.Measures included the Short-form Parenting Styles Scale,Peer Relationship Scale,Emotional Intelligence Scale,and Positive Psychological Capital Questionnaire.Data were analyzed using SPSS 27.0 and AMOS 29,with serial mediation models examined via the PROCESS macro.Results:Positive parenting styles correlated positively with peer relationships(r=0.533,β=0.521,p<0.001),whereas negative parenting styles correlated negatively(r=-0.538,β=-0.528,p<0.001).Serial mediation analysis revealed that emotional intelligence and psychological capital acted as sequential mediators.Specifically,this serial indirect effect accounted for 31.3%of the total indirect association in the relationship between positive parenting and peer relationships(β=0.248,p<0.001),and 27.5%in the relationship involving negative parenting styles(β=-0.176,p<0.001).Conclusions:Parenting styles are significantly associated with peer relationships among primary school students.Parents should adopt warm,supportive styles and reduce rejecting or overprotective behaviors.Furthermore,educational interventions targeting children’s emotional intelligence and psychological capital are crucial pathways for enhancing harmonious peer interactions.展开更多
Faced with national fossil energy depletion and worsening environmental pollution,the shift to renewable energy is urgent.Solar energy,as a green and eco-friendly option,is converted into storable secondary energy to ...Faced with national fossil energy depletion and worsening environmental pollution,the shift to renewable energy is urgent.Solar energy,as a green and eco-friendly option,is converted into storable secondary energy to achieve carbon neutrality.Photocatalysts are key for this solar-to-secondary energy conversion,and two-dimensional covalent organic frameworks(2-D COFs)are highly promising candidates due to their large specific surface area,excellent stability,and flexible structural design.This paper comprehensively reviews the structural design of 2-D COFs,photocatalytic mechanisms,and the structure-function relationship.It also explores their applications in six fields:carbon dioxide reduction for carbon mitigation,uranium extraction from seawater for resource security,hydrogen peroxide synthesis as an eco-friendly alternative,organic transformation with high selectivity,and pollutant degradation for environmental improvement and hydrogen synthesis as a renewable energy.However,2-D COFs face challenges in the photocatalytic field,including a limited light absorption range and relatively low charge separation efficiency.These issues hinder their full-scale application and performance optimization.Despite these obstacles,this study provides key insights and future directions for advancing 2-D COFs,aiming to inspire further research to overcome current limitations and unlock their full potential.展开更多
OBJECTIVE:To develop a method for accurate identification and localization of facial acupoints based on geometric and topological relationships(GTRs)among facial key points and organ features.METHODS:A facial acupoint...OBJECTIVE:To develop a method for accurate identification and localization of facial acupoints based on geometric and topological relationships(GTRs)among facial key points and organ features.METHODS:A facial acupoint localization framework was constructed using the Google Media Pipe machine learning toolkit to extract 478 facial key points.Geometric and topological relationships between predefined acupoints and key facial landmarks were established.Based on these relationships,a rule-based mapping algorithm was designed to identify and localize facial acupoints.The method was applied to facial images collected from individuals undergoing acupuncture and physical therapy,and its localization performance was evaluated.RESULTS:The proposed method successfully identified and localized facial acupoints based on stable geometric and topological relationships.The approach demonstrated consistent performance across different facial structures,enabling accurate positioning of acupoints without the need for large-scale annotated datasets.The results indicate that the method is feasible and reliable for practical applications.CONCLUSION:The GTR-based approach provides an effective and efficient solution for facial acupoint identification and localization,reducing dependence on manual annotation and improving applicability in clinical and intelligent acupuncture systems.展开更多
Human-machine interface(HMI)systems require energy harvesters that can operate efficiently under low contact forces,yet conventional tactile triboelectric nanogenerators(TENGs)suffer from low surface charge density an...Human-machine interface(HMI)systems require energy harvesters that can operate efficiently under low contact forces,yet conventional tactile triboelectric nanogenerators(TENGs)suffer from low surface charge density and unstable output.Here,we propose a human skin electric field-induced air-breakdown TENG(AB-TENG)with a transistor-inspired architecture.The device employs a base terminal to collect electrons from human skin via an ionized air channel formed by air breakdown,enabling efficient conversion of the skin’s electric field through two operational modes:indirect(accumulated output)and direct(instant high output).In direct mode,the AB-TENG delivers 165 V at 2 N and 290 V at 24 N,with a peak power of 22 mW-22 times higher than conventional tactile TENGs.Practical utility is demonstrated through a self-powered infrared remote control and an ultrathin keyboard.This work establishes a new design paradigm that transforms air breakdown from a limitation into a functional mechanism,advancing skin-electricity-enhanced thin-film TENGs toward next-generation self-sustaining HMI platforms.展开更多
To investigate the environmental impact of an abandoned lead-zinc mining area in Guangxi and to quantify the contributions of heavy metal sources to surrounding soil and surface water sediments,as well as to estimate ...To investigate the environmental impact of an abandoned lead-zinc mining area in Guangxi and to quantify the contributions of heavy metal sources to surrounding soil and surface water sediments,as well as to estimate the sourcesink fluxes of heavy metals,a total of 76 samples—including waste rock,soil,and sediment—were collected from the mining area and its surrounding impacted zone.The concentrations of eight heavy metals(Pb,Hg,Cd,Cr,As,Cu,Zn,and Ni)were determined.The pollution characteristics,ecological risks,and sources of heavy metals in soil and river sediments were assessed,and the source-sink relationships were analyzed.Results show that the average concentrations of most heavy metals in waste rock(excluding Cr,As,and Ni)are higher than those in soil and sediments.The mean concentrations of Pb,Hg,Cd,Cu,and Zn across all three media exceed the local soil background values.Pb,Hg,Cd,and Zn in soil and sediment mainly originate from residual waste rock,while Cr,As,and Ni are primarily derived from soil parent material.The dominant pollutants in both soil and sediment are Hg,Cd,and Zn.The ecological risk index(RI)indicates strong risk(RI>300),with Hg,Cd,and Zn identified as the primary ecological risk factors.The estimated accumulation of Pb,Hg,Cd,Cr,As,Cu,Zn,and Ni in the soil near the mining area is 37.35,0.18,13.67,36.78,2.46,20.86,3750.71,and 43.75 kg·hm-2,respectively.The source-sink dynamics of heavy metals in and around the abandoned mining area warrant significant attention.Targeted pollution prevention and risk management strategies should be implemented based on the current contamination status across different media,with priority given to source control of waste rock.展开更多
Steam reforming of biomassderived alcohols(ethanol,ethylene glycol,glycerol,etc.)represents a critical pathway for sustainable hydrogen energy systems.This review systematically examines recent advances in heterogeneo...Steam reforming of biomassderived alcohols(ethanol,ethylene glycol,glycerol,etc.)represents a critical pathway for sustainable hydrogen energy systems.This review systematically examines recent advances in heterogeneous catalysis,elucidating structureperformance correlations between alcohol molecular structures and catalyst requirements.Ethanol is prone to dehydration and methanation side reactions,while ethylene glycol leverages its dihydroxy structure to enhance dehydrogenation and C–C cleavage,improving H2 selectivity.In contrast,glycerol suffers from intensified reaction network complexity and carbon-induced deactivation due to its trihydroxy configuration.The unified catalyst design strategy involves precisely modulating metal electronic structures(e.g.,alloying/atomic-level dispersion)and support oxygen mobility(e.g.,rare-earth modification)to synergistically optimize dehydrogenation and carbon resistance.Ni-based catalysts dominate owing to low cost and high C–C bond activation capability,yet their stability requires synergistic enhancement via alloying(Fe,Co,Cu,etc.)or rare-earth modification(Ce,Pr,La,etc.).Noble metal systems(Pt,Rh,Ir,etc.)exhibit low-temperature activity advantages,but are transitioning strategically toward single-atom catalysis and high-entropy-oxide-based multicomponent architectures under cost constraints.Future efforts are suggested to integrate in situ/operando characterization with theoretical modeling to uncover dynamic structure-activity relationships,establish elementary reaction databases for data-driven rational catalyst design,and achieve cross-scale catalyst-reactor synergy,thereby providing a scientific foundation for efficient sustainable hydrogen production.展开更多
Against the backdrop of the rapid advancement of AI (artificial intelligence) technology permeating the language services industry and human-machine collaboration emerging as a prevailing trend in translation, traditi...Against the backdrop of the rapid advancement of AI (artificial intelligence) technology permeating the language services industry and human-machine collaboration emerging as a prevailing trend in translation, traditional translation pedagogy centered on linguistic proficiency is at the risk of detaching from industry demands. In light of the philosophy of the New Liberal Arts, which advocates interdisciplinary integration and convergence of technology and the humanities, this study proposes a “Four Integrations” translation teaching model. This model comprises the integration of AI technology with translation pedagogy, blended learning (online and offline), theoretical instruction plus industry-academia collaboration, and translation competency plus cultural literacy. By constantly optimizing the curriculum system and innovating teaching modalities, this model incorporates the cultivation of human-machine collaboration capabilities into the entire process of translation education.展开更多
Aiming at the problems of interdisciplinary integration,difficulty in personalized learning,and lack of real-time feedback in the traditional teaching of compiler courses,this paper proposes an AI-enabled human-machin...Aiming at the problems of interdisciplinary integration,difficulty in personalized learning,and lack of real-time feedback in the traditional teaching of compiler courses,this paper proposes an AI-enabled human-machine collaborative teaching mode and builds an intelligent AI teaching platform.This mode integrates students,teachers,and AI into an organic whole.AI provides students with personalized services such as relevant course knowledge recommendation,learning resource recommendation,and quiz push,and provides teachers with intelligent services such as automatic homework correction and learning data analysis feedback.Teaching practice analysis shows that this mode has improved students’final exam scores and learning experience.展开更多
Artificial intelligence is transforming marketing from an efficiency-enhancing tool into a new paradigm of human-machine collaboration.This study examines the conceptual evolution of AI in marketing through a theoreti...Artificial intelligence is transforming marketing from an efficiency-enhancing tool into a new paradigm of human-machine collaboration.This study examines the conceptual evolution of AI in marketing through a theoretical lens,tracing its progression from a technical tool to a strategic core and ultimately evolving into a collaborative ecosystem.The paper analyzes the comprehensive mechanisms of AI integration into STP strategy and the 4P framework,and identifies three pathways for advancing marketing innovation through human-machine synergy.Relevant research indicates that collaboration between humans and AI does not imply machine replacement but rather achieves a dynamic balance between skill transfer and capability reconfiguration,liberating humans from routine tasks to focus on innovation and strategic planning.Future marketing competition will shift from mere technological prowess comparisons to comprehensive evaluations of human-machine collaboration effectiveness and value creation capabilities.展开更多
Against the backdrop of the rapid penetration of Artificial Intelligence Generated Content (AIGC) into higher education, teacher-student relationships in private universities are undergoing profound transformations. B...Against the backdrop of the rapid penetration of Artificial Intelligence Generated Content (AIGC) into higher education, teacher-student relationships in private universities are undergoing profound transformations. Based on Foucault’s theory of knowledge and power, this paper takes private universities as a specific research field, focuses on the interactive dimension between teachers, students and AIGC technology, explores the two-way logic of knowledge-power between teachers and students as well as between human subjects and technology with the intervention of AIGC, and analyzes practical dilemmas including power imbalance, communication alienation and excessive technological discipline arising in the process of AIGC empowering teacher-student relationships in private universities.展开更多
Photothermoelectric(PTE)photodetectors with selfpowered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields.However,traditional PTE photodetec...Photothermoelectric(PTE)photodetectors with selfpowered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields.However,traditional PTE photodetectors lack of mechanical flexibility and cannot operate independently without the test instrument.Herein,we present a flexible PTE photodetector capable of dual-mode output,combining electrical and optical signal generation for enhanced functionality.Using solution processing,high-quality MXene thin films are assembled on asymmetric electrodes as the photosensitive layer.The geometrically asymmetric electrode design significantly enhances the responsivity,achieving 0.33 m A W-1under infrared illumination,twice that of the symmetrical configuration.This improvement stems from optimized photothermal conversion and an expanded temperature gradient.The PTE device maintains stable performance after 300 bending cycles,demonstrating excellent flexibility.A new energy conversion pathway has been established by coupling the photothermal conversion of MXene with thermochromic composite materials,leading to a real-time visualization of invisible infrared radiation.Leveraging this functionality,we demonstrate the first human-machine collaborative infrared imaging system,wherein the dual-mode photodetector arrays synchronously generate human-readable pattern and machine-readable pattern.Our study not only provides a new solution for functional integration of flexible photodetectors,but also sets a new benchmark for human-machine collaborative optoelectronics.展开更多
基金financially supported by the National Key R&D Program of China(Grant No.2023YFE0108900)EU HORIZON 2021 L4DNANO(No.101086227)。
摘要Porous hydrogel sensors have attracted significant attention in fields such as smart wearables and medical monitoring due to their high sensitivity.However,existing fabrication methods typically degrade the surface smoothness of hydrogels when introducing porous structures and face significant challenges in removing fillers completely.To address these challenges,we herein introduce a novel one-step,thermosensitive spray-coating technique for the preparation of aircell hydrogel(ACH).This method leverages the rapid cooling of a thermoresponsive gelatin methacryloyl solution through atomization,enabling rapid cross-linking within seconds and air bubbles encapsulated in situ.Additionally,the transient flow of the pre-gel facilitates the repair of voids formed by ruptured surface bubbles,leading to the creation of the ACH with uniformly distributed inner air bubbles and a smooth outer surface.The mold-free fabrication method is independent of substrate surface properties,enabling the creation of a porous hydrogel film with a thickness as thin as 163 µm.Furthermore,the dual-crosslinked network endows the ACH with excellent anti-swelling properties,and the physical crosslinking between gelatin molecules allows the ACH to self-heal.The ACH exhibits excellent sensitivity in deformation sensing and can even successfully track minor external forces,which enables it to effectively complete various tasks such as facial expression recognition,pitch differentiation,and motion detection.By integrating the ACH into a sensing glove,we also demonstrate the significant potential of the ACH for applications in human-machine interaction and tactile sensing.Ultimately,the ACH sensors are also applied to motion mapping and machine tactile feedback,indicating their promising potential in human-machine interaction.
基金supported by the National Natural Science Foundation of China(52172314)the Natural Science Foundation of Shandong Province,China(ZR2024MG021 and ZR2024QG023)the Special Funding Project of Taishan Scholar Engineering.
摘要To alleviate the conflicts resulting from lane-changing in human-machine co-driving,this study investigates four game scenarios:human-driven lanechanging vehicles(HLVs)and human-driven target vehicles(HTVs),HLVs and Autonomous target vehicles(ATVs),autonomous lane-changing vehicles(ALVs)and HTVs,and ALVs and ATVs.An evolutionary game model is formulated by integrating safety,efficiency,comfort,fatigue,and energy-saving utilities.The strategy selection process of decision-makers is simulated by replicator dynamics equations.Based on the Friedman method,the stability of equilibrium points in different situations is analyzed,and the sensitivity of evolutionary results to utility parameters is clarified.Results show that the strategy profile of(lane-changing,not-giving-way)that causes conflicts only exists temporarily under certain conditions and will not become a long-term stable point.The game characteristics under different scenarios are obviously different;that is,the game evolutionary paths for autonomous vehicles are the most stable,while the adjustment of game strategies for human-driven vehicles is more frequent.Additionally,energy-saving promotes the formation of the strategy profile of(lane-changing,giving-way),while fatigue limits the frequent lane-changing of human-driven vehicles.The evolutionary game model proposed can provide theoretical support for improving the performance of the human-machine co-driving system.
基金was supported by the General Program of National Natural Science Foundation of China(NSFC)(Grant No.71973129)for the project“Mechanisms of Knowledge Spillover in Heterogeneous Global Innovation Chains:A Cross-level Empirical Study based on the mvQCA Method from a Dyadic Perspective”the Young Scientists Program of NSFC(Grant No.72204222)for the project“The Impact Mechanism of Technological Heterogeneity on University Technology Transfer from a Knowledge Recombination Perspective”the Science and Technology Planning Project of Zhejiang Province(Grant No.2023C35015)for the project“Research on the Asymmetric Participation of Zhejiang Manufacturing Enterprises in Global Innovation Chain Governance”.
摘要Innovation spillovers from multinational corporations to domestic firms are increasingly prominent in global value chain(GVC)evolution,yet prior work has largely focused on technology transfer,leaving the distinct nature of innovation spillovers underexplored.Existing GVC literature also remains divided between intra-product and inter-product perspectives,overlooking GVC heterogeneity.This study examines two governance structures:OEM relationships(processbased,intra-product)and buyer-supplier relationships(modular-based,interproduct),and investigates their divergent innovation spillover effects,along with the moderating role of inter-organizational relationship(IOR)characteristics.Using an unbalanced panel of 2,150 transaction observations from 597 dyads across nine advanced manufacturing industries(2012-2022),we integrate annual transaction volumes with patent citations and subsequent innovation outcomes.Empirically,we find that innovation spillovers are significantly stronger in OEM relationships than in buyer-supplier relationships,with a positive interaction between the two chains.Furthermore,multidimensional IOR traits substantially affect both spillover magnitudes and the variance across GVC types.This study advances GVC research by shifting the focus from technology transfer to innovation spillovers and bridging intra-product and inter-product specialization divides.It offers exploratory theoretical insights and provides strategic implications for Chinese firms regarding GVC embeddedness and innovation decisions.
基金National Natural Science Foundation of China,No.42377460Research Project on Philosophy and Social Sciences in Colleges and Universities in Shandong Province,No.2025ZSYB092。
摘要Controlling key drivers is essential to align the supply and demand of ecosystem services(ES)for sustainable development.However,spatial heterogeneity and nonlinearity are often overlooked in studying ES mismatch.Hence,this paper evaluates the supply-demand balance of bundled ecosystem services in eastern China,revealing the spatial characteristics of the supply-demand relationship of ecosystem services.We used the InVEST model to assess ecosystem services,applied a Gaussian mixture model to identify distinct ES supply-demand bundles,and constructed a synergy network among bundles via weighted network analysis.We then employed redundancy analysis and generalized additive models to examine drivers.The main findings of this study are as follows:Ecosystem service demand increased by approximately 18.25%,showing a clear trend toward supply-demand mismatch.The results showed strong synergies among different supply-demand clusters,and the supply-demand relationships of the same ecosystem service were not entirely consistent across clusters.The NDVI emerged as the most influential factor affecting ES supply-demand relationships(exceeding 10%),but social factors had a greater average effect.This study emphasizes the importance of the spatial relationship and driving factors of the supply-demand states of services mismatch in formulating effective spatial strategies.
基金funded by the Humanities and Social Science Fund of Ministry of Education of China(grant ID:25YJC880137).
摘要Backgrounds:Adolescent psychological well-being has become a pressing global concern,with rising levels of emotional distress among youth.Although prior research highlights the positive influence of teacher-student relationships,the underlying mechanisms—particularly the roles of school belonging,moral disengagement,and growth mindset—remain insufficiently understood.This study investigates the associations between teacher-student relationship quality and adolescent psychological well-being,examining school belonging and moral disengagement as potential mediators,and growth mindset as a moderator of these relationships.Methods:A total of 785 adolescents were recruited from six schools across Shanghai and Liaoning Province,China.Participants completed validated measures of teacher-student relationships,psychological well-being,school belonging,moral disengagement,and growth mindset.Data was analyzed using path analysis and moderation analyses with SPSS 23.0 and Mplus 8.3.Results:Teacher-student relationship quality demonstrated a strong positive association with psychological well-being(β=0.613,p<0.001).This association was mediated through three distinct pathways.School belonging served as a significant mediator(indirect effect=0.103,16.803%of total effect),as did moral disengagement(indirect effect=0.134,21.860%of total effect).Additionally,a sequential indirect pathway was identified,capturing the structural associations among the variables such that teacher-student relationship quality was related to school belonging,school belonging was related to moral disengagement,and moral disengagement was related to psychological well-being(indirect effect=0.040,accounting for 6.525%of the total effect).However,growth mindset did not significantly moderate the relationship between the teacher-student relationship and psychological well-being(interaction b=0.075,p=0.096).Conclusions:Teacher-student relationships are strongly associated with adolescent psychological well-being,with this association mediated through both cognitive-moral and socio-emotional pathways.The sequential mediation pattern is consistent with a developmentally coherent process wherein relational support may establish belonging as a foundation for moral engagement.Although growth mindset did not function as a significant moderator in this study,it remains a positive predictor of psychological well-being.These findings underscore the importance of comprehensive interventions that address relational quality,school connectedness,and moral development to promote adolescent mental health.
基金National Natural Science Foundation of China,No.42361144002,No.42377488。
摘要To promote the harmonious coexistence of cities and lakes and to achieve Sustainable Development Goals in the Taihu Lake Basin,we developed an analytical framework for city-lake symbiosis(CLS)on the basis of symbiosis theory.Using the Lotka-Volterra(L-V)model and a coordination degree model,we assessed the state and evolution of the CLS relationship.The findings reveal that urban development levels increased steadily from 27.36 in 1980 to 78.90 in 2020,whereas the ecological conditions of Taihu Lake initially decreased,followed by slow and fluctuating recovery.Overall,cities and Taihu Lake exhibited a“mutualism”relationship,withαandβvalues of-1.89 and-1.77,respectively,and a general upward trend in the degree of coordination over the study period.However,during the periods 1980-1998 and 2012-2016,the relationship displayed a pattern of“mutual damage”.The adverse effects of urban development accumulated gradually,in contrast to the rapid and abrupt deterioration observed in the lake.Ecological recovery in Taihu Lake progressed slowly and unevenly,stabilizing only after 2016 into a phase of sustained improvement.We recommend enhanced and coordinated efforts in ecological restoration and environmental governance to support this positive trajectory.
基金Supported by Wuxi Taihu Lake Talent Plan,Supports for Leading Talents in Medical and Health Profession.
摘要BACKGROUND Patients with ovarian cancer often experience significant psychological stress during chemotherapy,including emotional disorders such as anxiety and depression.AIM To analyze the application value of positive emotion,engagement,relationships,meaning,and accomplishment(PERMA)well-being care combined with role model motivation in patients with ovarian cancer undergoing chemotherapy for anxiety and depression,with a focus on psychological health and compliance behavior.METHODS Seventy patients with ovarian cancer undergoing chemotherapy were recruited from a hospital between August 2022 and August 2024.They were randomly divided into two groups using a lottery method:The reference group(n=35,receiving routine care)and the experimental group(n=35,receiving PERMA wellbeing care combined with role model motivation in addition to routine care).Both groups received their respective interventions before and after chemo-therapy.Psychological state,mood state,compliance behavior,and cancer-related fatigue levels were assessed before and after the intervention.Data were analyzed using the SPSS software(version 26.0).RESULTS After the intervention,patients’psychological state improved,with the experimental group showing greater benefits than the control group.Specifically,the intervention group achieved an 8.8%reduction in anxiety,a 19.8%reduction in depressive symptoms,and a 7.8%increase in self-efficacy relative to controls(P<0.05).Mood state also improved more markedly in the experimental group,with significant reductions across tension-anxiety,depression-dejection,anger-hostility,fatigue-inertia,and confusion-bewilderment,alongside an increase in vigoractivity(P<0.05).The compliance rate was higher in the experimental group than in the control group(91.43%vs 71.43%,P<0.05).Cancer-related fatigue decreased in both groups,with the experimental group exhibiting greater reductions across emotional,cognitive,behavioral,and physical dimensions(P<0.05).CONCLUSION PERMA well-being care combined with role model motivation is effective in reducing anxiety and depression symptoms,improving mood states,enhancing compliance behavior,and alleviating cancer-related fatigue in patients with ovarian cancer undergoing chemotherapy for anxiety and depression.Therefore,this approach warrants broader clinical application.
基金supported by the Key Project of Jiangsu Provincial Key Laboratory of Biomass Energy and Materials(No.JSBEM-S-202303)the National Natural Science Foundation of China(No.52273070)the Natural Science Fund of Zhejiang Province(No.LRG25E030003).
摘要Polymer-based piezoelectric films can be assembled into piezoelectric nanogenerators(PENGs),which can simultaneously serve as flexible pressure sensors and energy harvesting devices.However,the low piezoelectric output of PENGs is a major limitation for their practical applications.Herein,we propose a coaxial electrospinning strategy to generate a core-shell structured nanofiber film,which could significantly enhance the piezoelectric output compared to the traditional nanofiber film via conventional single-axial electrospinning.Notably,the as-prepared PENGs based on the core-shell structured Cs Cu Cl3/poly(vinylidene fluoride)(PVDF)nanofiber composite film(2 wt%)produced via coaxial spinneret exhibit a 60%increase in output voltage(increase from 48 V to 75 V)and a 50%increase in short-circuit current(increase from 0.2μA to0.3μA)compared to those prepared using a single-needle spinneret.More interestingly,this enhancement in piezoelectric performance is a universal phenomenon because the coaxial electrospinning process can induce greater polymer chain alignment in the shell layer and lead to increased crystallinity and a higher proportion of the piezoelectric-activeβ-phase.Owing to their enhanced piezoelectric output and high sensitivity to subtle pressure variations,the resulting PENGs demonstrate promising potential for human-machine interaction applications.This study offers a novel and broadly applicable approach to boost the piezoelectric performance of polymer-based PENGs.
基金supported by the National Natural Science Foundation of China(Grant No.62571079)the Doctoral Research Startup Fund Program Project of Liaoning Province(Grant No.2025-BS-0471)+1 种基金the Basic scientific research projects in department of education of Liaoning Province(Grant No.LJ212410152011)the Research startup fund project for introducing talents of Dalian Polytechnic University(Grant No.LJBKY2025070)。
摘要The study of relationship emotions,a set of emotional and psychological responses that arise in a relationship,can help develop more humanized artificial intelligence,improve human–computer interaction,and even create more immersive experiences in virtual and augmented reality.Due to the nonlinear and feedback-driven nature of relational affect,which aligns closely with chaos theory,and the ability of leaky integrate-and-fire(LIF)neuron models to simulate dopaminerelated electrical activity in brain nuclei,this study innovatively integrates both approaches.By linking the membrane potential signals of LIF neurons to relational affect equations,it achieves a refined modeling of the mechanisms underlying relational affect generation.This paper adds the LIF neuron model to the relationship emotion model to construct a new LIF relationship emotion model(LRM).The effect of the parameters in the LRM on the relationship emotions generated by the model is investigated using numerical analysis.This includes the firing behavior produced by LIF neurons and a study of relationship emotions produced by different initial relationship emotion states under the same conditions.Finally,the feasibility of LRM is verified using a digital signal processing(DSP)platform.This process not only verifies the feasibility of LRM but also provides new ideas and methods for future research in affective computing and human–computer interaction.
基金supported by the 2025 University-Level Scientific Research Project of Jianghan University(2025SKYB16).
摘要Background:During the upper primary school years,children’s primary interpersonal relationships shift from parent-child interactions to peer relationships.This study investigated the underlying mechanisms between parenting styles and primary school students’peer relationships,providing theoretical guidance for fostering harmonious peer interactions.Methods:A cluster sampling design was employed,yielding 702 valid responses from fifth and sixth-grade students.Measures included the Short-form Parenting Styles Scale,Peer Relationship Scale,Emotional Intelligence Scale,and Positive Psychological Capital Questionnaire.Data were analyzed using SPSS 27.0 and AMOS 29,with serial mediation models examined via the PROCESS macro.Results:Positive parenting styles correlated positively with peer relationships(r=0.533,β=0.521,p<0.001),whereas negative parenting styles correlated negatively(r=-0.538,β=-0.528,p<0.001).Serial mediation analysis revealed that emotional intelligence and psychological capital acted as sequential mediators.Specifically,this serial indirect effect accounted for 31.3%of the total indirect association in the relationship between positive parenting and peer relationships(β=0.248,p<0.001),and 27.5%in the relationship involving negative parenting styles(β=-0.176,p<0.001).Conclusions:Parenting styles are significantly associated with peer relationships among primary school students.Parents should adopt warm,supportive styles and reduce rejecting or overprotective behaviors.Furthermore,educational interventions targeting children’s emotional intelligence and psychological capital are crucial pathways for enhancing harmonious peer interactions.
摘要Faced with national fossil energy depletion and worsening environmental pollution,the shift to renewable energy is urgent.Solar energy,as a green and eco-friendly option,is converted into storable secondary energy to achieve carbon neutrality.Photocatalysts are key for this solar-to-secondary energy conversion,and two-dimensional covalent organic frameworks(2-D COFs)are highly promising candidates due to their large specific surface area,excellent stability,and flexible structural design.This paper comprehensively reviews the structural design of 2-D COFs,photocatalytic mechanisms,and the structure-function relationship.It also explores their applications in six fields:carbon dioxide reduction for carbon mitigation,uranium extraction from seawater for resource security,hydrogen peroxide synthesis as an eco-friendly alternative,organic transformation with high selectivity,and pollutant degradation for environmental improvement and hydrogen synthesis as a renewable energy.However,2-D COFs face challenges in the photocatalytic field,including a limited light absorption range and relatively low charge separation efficiency.These issues hinder their full-scale application and performance optimization.Despite these obstacles,this study provides key insights and future directions for advancing 2-D COFs,aiming to inspire further research to overcome current limitations and unlock their full potential.
基金Research on Intelligent Medical Diagnosis and Treatment under the Major Innovation Support Program of Jianghan University with Grant Number 2023ZDCX02。
摘要OBJECTIVE:To develop a method for accurate identification and localization of facial acupoints based on geometric and topological relationships(GTRs)among facial key points and organ features.METHODS:A facial acupoint localization framework was constructed using the Google Media Pipe machine learning toolkit to extract 478 facial key points.Geometric and topological relationships between predefined acupoints and key facial landmarks were established.Based on these relationships,a rule-based mapping algorithm was designed to identify and localize facial acupoints.The method was applied to facial images collected from individuals undergoing acupuncture and physical therapy,and its localization performance was evaluated.RESULTS:The proposed method successfully identified and localized facial acupoints based on stable geometric and topological relationships.The approach demonstrated consistent performance across different facial structures,enabling accurate positioning of acupoints without the need for large-scale annotated datasets.The results indicate that the method is feasible and reliable for practical applications.CONCLUSION:The GTR-based approach provides an effective and efficient solution for facial acupoint identification and localization,reducing dependence on manual annotation and improving applicability in clinical and intelligent acupuncture systems.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.RS-2020-NR049568).
摘要Human-machine interface(HMI)systems require energy harvesters that can operate efficiently under low contact forces,yet conventional tactile triboelectric nanogenerators(TENGs)suffer from low surface charge density and unstable output.Here,we propose a human skin electric field-induced air-breakdown TENG(AB-TENG)with a transistor-inspired architecture.The device employs a base terminal to collect electrons from human skin via an ionized air channel formed by air breakdown,enabling efficient conversion of the skin’s electric field through two operational modes:indirect(accumulated output)and direct(instant high output).In direct mode,the AB-TENG delivers 165 V at 2 N and 290 V at 24 N,with a peak power of 22 mW-22 times higher than conventional tactile TENGs.Practical utility is demonstrated through a self-powered infrared remote control and an ultrathin keyboard.This work establishes a new design paradigm that transforms air breakdown from a limitation into a functional mechanism,advancing skin-electricity-enhanced thin-film TENGs toward next-generation self-sustaining HMI platforms.
摘要To investigate the environmental impact of an abandoned lead-zinc mining area in Guangxi and to quantify the contributions of heavy metal sources to surrounding soil and surface water sediments,as well as to estimate the sourcesink fluxes of heavy metals,a total of 76 samples—including waste rock,soil,and sediment—were collected from the mining area and its surrounding impacted zone.The concentrations of eight heavy metals(Pb,Hg,Cd,Cr,As,Cu,Zn,and Ni)were determined.The pollution characteristics,ecological risks,and sources of heavy metals in soil and river sediments were assessed,and the source-sink relationships were analyzed.Results show that the average concentrations of most heavy metals in waste rock(excluding Cr,As,and Ni)are higher than those in soil and sediments.The mean concentrations of Pb,Hg,Cd,Cu,and Zn across all three media exceed the local soil background values.Pb,Hg,Cd,and Zn in soil and sediment mainly originate from residual waste rock,while Cr,As,and Ni are primarily derived from soil parent material.The dominant pollutants in both soil and sediment are Hg,Cd,and Zn.The ecological risk index(RI)indicates strong risk(RI>300),with Hg,Cd,and Zn identified as the primary ecological risk factors.The estimated accumulation of Pb,Hg,Cd,Cr,As,Cu,Zn,and Ni in the soil near the mining area is 37.35,0.18,13.67,36.78,2.46,20.86,3750.71,and 43.75 kg·hm-2,respectively.The source-sink dynamics of heavy metals in and around the abandoned mining area warrant significant attention.Targeted pollution prevention and risk management strategies should be implemented based on the current contamination status across different media,with priority given to source control of waste rock.
基金Supported by National Key Research and Development Program of China(2021YFA1501104).
摘要Steam reforming of biomassderived alcohols(ethanol,ethylene glycol,glycerol,etc.)represents a critical pathway for sustainable hydrogen energy systems.This review systematically examines recent advances in heterogeneous catalysis,elucidating structureperformance correlations between alcohol molecular structures and catalyst requirements.Ethanol is prone to dehydration and methanation side reactions,while ethylene glycol leverages its dihydroxy structure to enhance dehydrogenation and C–C cleavage,improving H2 selectivity.In contrast,glycerol suffers from intensified reaction network complexity and carbon-induced deactivation due to its trihydroxy configuration.The unified catalyst design strategy involves precisely modulating metal electronic structures(e.g.,alloying/atomic-level dispersion)and support oxygen mobility(e.g.,rare-earth modification)to synergistically optimize dehydrogenation and carbon resistance.Ni-based catalysts dominate owing to low cost and high C–C bond activation capability,yet their stability requires synergistic enhancement via alloying(Fe,Co,Cu,etc.)or rare-earth modification(Ce,Pr,La,etc.).Noble metal systems(Pt,Rh,Ir,etc.)exhibit low-temperature activity advantages,but are transitioning strategically toward single-atom catalysis and high-entropy-oxide-based multicomponent architectures under cost constraints.Future efforts are suggested to integrate in situ/operando characterization with theoretical modeling to uncover dynamic structure-activity relationships,establish elementary reaction databases for data-driven rational catalyst design,and achieve cross-scale catalyst-reactor synergy,thereby providing a scientific foundation for efficient sustainable hydrogen production.
摘要Against the backdrop of the rapid advancement of AI (artificial intelligence) technology permeating the language services industry and human-machine collaboration emerging as a prevailing trend in translation, traditional translation pedagogy centered on linguistic proficiency is at the risk of detaching from industry demands. In light of the philosophy of the New Liberal Arts, which advocates interdisciplinary integration and convergence of technology and the humanities, this study proposes a “Four Integrations” translation teaching model. This model comprises the integration of AI technology with translation pedagogy, blended learning (online and offline), theoretical instruction plus industry-academia collaboration, and translation competency plus cultural literacy. By constantly optimizing the curriculum system and innovating teaching modalities, this model incorporates the cultivation of human-machine collaboration capabilities into the entire process of translation education.
摘要Aiming at the problems of interdisciplinary integration,difficulty in personalized learning,and lack of real-time feedback in the traditional teaching of compiler courses,this paper proposes an AI-enabled human-machine collaborative teaching mode and builds an intelligent AI teaching platform.This mode integrates students,teachers,and AI into an organic whole.AI provides students with personalized services such as relevant course knowledge recommendation,learning resource recommendation,and quiz push,and provides teachers with intelligent services such as automatic homework correction and learning data analysis feedback.Teaching practice analysis shows that this mode has improved students’final exam scores and learning experience.
摘要Artificial intelligence is transforming marketing from an efficiency-enhancing tool into a new paradigm of human-machine collaboration.This study examines the conceptual evolution of AI in marketing through a theoretical lens,tracing its progression from a technical tool to a strategic core and ultimately evolving into a collaborative ecosystem.The paper analyzes the comprehensive mechanisms of AI integration into STP strategy and the 4P framework,and identifies three pathways for advancing marketing innovation through human-machine synergy.Relevant research indicates that collaboration between humans and AI does not imply machine replacement but rather achieves a dynamic balance between skill transfer and capability reconfiguration,liberating humans from routine tasks to focus on innovation and strategic planning.Future marketing competition will shift from mere technological prowess comparisons to comprehensive evaluations of human-machine collaboration effectiveness and value creation capabilities.
摘要Against the backdrop of the rapid penetration of Artificial Intelligence Generated Content (AIGC) into higher education, teacher-student relationships in private universities are undergoing profound transformations. Based on Foucault’s theory of knowledge and power, this paper takes private universities as a specific research field, focuses on the interactive dimension between teachers, students and AIGC technology, explores the two-way logic of knowledge-power between teachers and students as well as between human subjects and technology with the intervention of AIGC, and analyzes practical dilemmas including power imbalance, communication alienation and excessive technological discipline arising in the process of AIGC empowering teacher-student relationships in private universities.
基金supported by the Fundamental Research Funds for the Central Universities(xxj022019009)。
摘要Photothermoelectric(PTE)photodetectors with selfpowered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields.However,traditional PTE photodetectors lack of mechanical flexibility and cannot operate independently without the test instrument.Herein,we present a flexible PTE photodetector capable of dual-mode output,combining electrical and optical signal generation for enhanced functionality.Using solution processing,high-quality MXene thin films are assembled on asymmetric electrodes as the photosensitive layer.The geometrically asymmetric electrode design significantly enhances the responsivity,achieving 0.33 m A W-1under infrared illumination,twice that of the symmetrical configuration.This improvement stems from optimized photothermal conversion and an expanded temperature gradient.The PTE device maintains stable performance after 300 bending cycles,demonstrating excellent flexibility.A new energy conversion pathway has been established by coupling the photothermal conversion of MXene with thermochromic composite materials,leading to a real-time visualization of invisible infrared radiation.Leveraging this functionality,we demonstrate the first human-machine collaborative infrared imaging system,wherein the dual-mode photodetector arrays synchronously generate human-readable pattern and machine-readable pattern.Our study not only provides a new solution for functional integration of flexible photodetectors,but also sets a new benchmark for human-machine collaborative optoelectronics.