Background MicroRNAs(miRNAs)are presented in the uterine lumen of many mammals,and in vitro experiments have determined that several miRNAs are important for the regulation of endometrial and trophoblast functions.Our...Background MicroRNAs(miRNAs)are presented in the uterine lumen of many mammals,and in vitro experiments have determined that several miRNAs are important for the regulation of endometrial and trophoblast functions.Our aim was to identify and contrast the miRNAs present in extracellular vesicles(EVs)in the uterine lumen fluid(ULF)at the onset of attachment in cattle pregnancies(gestation d 18)initiated by artificial insemination(AI)or by the trans-fer of an in vitro-produced blastocyst(IVP-ET).A third group had no conceptus after the transfer of an IVP embryo.Results The abundance of 263 annotated miRNAs was quantified in the EVs collected from ULF.There was an increase in the transcript abundance of 20 miRNAs in the ULF EVs from the AI pregnant group,while 4 miRNAs had a lower abundance relative to the group not containing a conceptus.Additionally,4 miRNAs were more abun-dant in ULF EVs in the AI pregnant group relative to IVP-ET group(bta-mir-17,bta-mir-7-3,MIR7-1,MIR18A).Specific miRNAs in the ULF EVs were co-expressed with messenger RNAs expressed in extra-embryonic tissues and endome-trium,including genes that are known to be their targets.Conclusions The results provide biological insights into the participation of miRNAs in the regulation of trophoblast proliferation and differentiation,as well as in endometrium receptivity.The knowledge that in vitro cultured embryos can contribute to the altered abundance of specific miRNAs in the uterine lumen can lead to the development of cor-rective approaches to reduce conceptus losses during the first month of pregnancy in cattle.展开更多
The behaviour of nanofertilizers(NFs)in plant-soil systems can differ from that of conventional chemical fertilizers due to their peculiar chemical-physical properties.Their effectiveness is still poorly understood.In...The behaviour of nanofertilizers(NFs)in plant-soil systems can differ from that of conventional chemical fertilizers due to their peculiar chemical-physical properties.Their effectiveness is still poorly understood.In this study,we evaluated the P fertilization potential of a novel nanosized FePO4NF(FePNF)in a plant-soil microcosm in a pot experiment.The efficacies of FePNF and a conventional P fertilizer(triple superphosphate,TSP)in sustaining the growth of cucumber plants were evaluated.Plants were grown for 28 d on a P-deficient soil,and determinations were made of plant growth parameters,mineral nutrient concentrations in plant tissues,P availability in soil,activities of soil enzymes involved in C,N,P,and S mineralization,and soil microbial community structure.No significant differences were found in plant dry weight,leaf area,chlorophyll content,or root growth between the FePNF and TSP treatments.Conversely,P availability in soil and P concentration in plant tissues at the end of the plant growth period were significantly higher after TSP fertilization compared to FePNF fertilization,whereas no significant differences were observed for other nutrients.Among the measured soil enzyme activities,there were no significant differences in the activities of soil acid phosphatase,β-glucosidase,and arylsulfatase between the FePNF and TSP treatments,while soil alkaline phosphatase activity was higher in the TSP treatment than in the FePNF treatment and the protease activity was higher in the FePNF treatment than in the TSP treatment.The FePNF and TSP treatments showed significant differences in soil archaeal,bacterial,and fungal community structures,although the microbial community profiles generally clustered closer to each other in the two treatments.We concluded that FePNF can be an efficient alternative to the conventional P fertilizer TSP.展开更多
Cultivation metaphors that compare teachers and students to gardeners and plants,respectively,have a long presence in the field of education.While such metaphors can be used to represent learner-centered pedagogies in...Cultivation metaphors that compare teachers and students to gardeners and plants,respectively,have a long presence in the field of education.While such metaphors can be used to represent learner-centered pedagogies in which a teacher fosters the growth of their students,there is also a darker side to cultivation metaphors.For instance,Zipory(2020)argues that characteristics of agriculture’s grain economy-like repetitiveness,coercion,and lack of diversity-can be imposed onto education.Following Zipory’s call for the forest to serve as a more apt metaphorical trajectory for education,I propose using the forest garden as a middle ground between the traditional garden and the natural forest.To highlight the potential usefulness of the forest garden metaphor in education,I explore its application as related to teacher professional development(PD),specifically content and language integrated learning(CLIL)PD.By reflecting on the design and outcomes of Project SCILLA,a CLIL PD program for Kazakhstani university instructors,as well as CLIL PD more broadly,I demonstrate how the forest garden metaphor conceptualizes the relationships and power dynamics between and across various stakeholders in education in response to global rhetoric,national and local policies,and interpersonal interactions.By emulating the sustainable forest garden’s principles of planning and intentionality,localization,interconnectedness,diversity,creativity,and growth from decay,stakeholders can(re)shape the policies and practices of multilingual,multicultural education systems.In addition,education researchers can use a metaphorical forest garden lens to better appreciate the complexities at play within dynamic educational landscapes.展开更多
The integration of Green Artificial Intelligence(AI)technologies into educational systems offers a promising avenue to enhance operational efficiency while addressing sustainability challenges.Through a rigorous three...The integration of Green Artificial Intelligence(AI)technologies into educational systems offers a promising avenue to enhance operational efficiency while addressing sustainability challenges.Through a rigorous three-phase methodology combining literature review,AI agent development,and participatory workshop-based case analysis,this paper highlights the pivotal role of AI agents,as applications of Green AI technologies,in driving transformative outcomes within schools.By directly improving self-learning efficiency and reducing learning costs for students,enhancing management and service efficiency,reducing labor costs for schools,as well as minimizing resource dependence for both teachers and students,AI agents create a foundation for sustainable operations.These direct effects generate positive spillover effects,cascading into broader outcomes,including innovation performance,economic efficiency,and environmental sustainability,aligning with the United Nations Sustainable Development Goals(SDGs).By presenting a comprehensive conceptual model,this study demonstrates the pathways through which Green AI contributes to sustainable development in education and emphasizes its critical role in bridging technological innovation with sustainability.This framework provides significant theoretical insights for further empirical research while offering actionable strategies for policymakers and educators to harness Green AI for building sustainable schools with a student-centered approach.展开更多
This geo-historical case study analyses Vistelius’ingenious idea of conceptual stochastic models and their application as Markov chain analysis in the geosciences.Vistelius(1915–1995)is regarded as one of the founde...This geo-historical case study analyses Vistelius’ingenious idea of conceptual stochastic models and their application as Markov chain analysis in the geosciences.Vistelius(1915–1995)is regarded as one of the founders of mathematical geology.He was the fi rst to defi ne mathematical geology as“a scientifi c discipline concerned with the construction,analysis and use of conceptual mathematical models of geological events to solve concrete problems”(Vistelius in Principles of mathematical geology,Nauka,Leningrad,1980;Principles of mathematical geology,Kluwer Academic Publishers,Dordrecht,1992).Mathematical models in this context should be primarily probabilistic because of the large number of infl uencing natural factors.They must be conceptual to avoid fundamental errors in application.Vistelius devoted his seminal book to geological random sequences and their description and analysis using Markov models as stochastic tools.He applied this approach to grain sequences in granitic intrusive rocks and to sedimentary rock layers.Among other things,Vistelius has used Markov chain analysis in mineral resource exploration to distinguish between“ideal”granites,which are not subsequently mineralized,and mainly hydrothermally mineralized,sometimes ore-bearing granites which contain at least two generations of main minerals.The application of this special conceptual stochastic model is demonstrated on Lusatian granite(Saxony,Germany).展开更多
Jovani et al’s study contributes important evidence linking childhood trauma(CT)and parental socialization with at-risk mental state(ARMS)in non-clinical adolescents,demonstrating the mediating role of low levels of ...Jovani et al’s study contributes important evidence linking childhood trauma(CT)and parental socialization with at-risk mental state(ARMS)in non-clinical adolescents,demonstrating the mediating role of low levels of parental affection and communication in this relationship.This letter commends the study’s strengths while also identifying key issues that warrant further attention,including the limitations of cross-sectional design,potential perceptual biases,conceptual overlap between CT and parenting,and limited cultural generalizability.We advocate for longitudinal,culturally sensitive,and multi-informant approaches to further refine ARMS risk models,strengthen theoretical distinctions between CT and parenting,and inform targeted prevention strategies across diverse populations.We also extend the discussion by highlighting promising directions for future research.展开更多
Chinese political discourse is the embodiment of the will of the people,the will of the CPC and the will of China.Conceptual metaphor is closely related to political discourse.Taking the 2022 government work report as...Chinese political discourse is the embodiment of the will of the people,the will of the CPC and the will of China.Conceptual metaphor is closely related to political discourse.Taking the 2022 government work report as an example,this paper discusses the metaphor problems in political discourse,and analyzes the metaphorical expressions and their functions in political discourse.Based on this,eco-translatology is used to analyze the translation strategies of metaphors in political discourse to help Chinese political discourse get better publicity.展开更多
The phenomenon of verbal-to-nominal shift(hereafter referred to as“V-N shift”)exists in both English and Chinese.It reflects both the universal conceptual metonymic thinking and the principle of linguistic economy.F...The phenomenon of verbal-to-nominal shift(hereafter referred to as“V-N shift”)exists in both English and Chinese.It reflects both the universal conceptual metonymic thinking and the principle of linguistic economy.Focusing on conceptual metonymy theory and combined with the Event Idealized Cognitive Model(ICM),this paper systematically compares the V-N shift phenomenon in English and Chinese.The study shows that English and Chinese V-N shifts share the core cognitive mechanism of“conceptual proximity within the Event ICM”,while significant differences exist in type distribution and usage frequency.This analysis not only helps deepen the understanding of the cognitive logic behind English and Chinese V-N shifts but also provides a new perspective for the study of word-class conversion and the relationship between language and thinking.展开更多
To investigate groundwater flow and solute transport characteristics of the karst trough zone in China,tracer experiments were conducted at two adjacent typical karst groundwater flow systems(Yuquandong(YQD)and Migong...To investigate groundwater flow and solute transport characteristics of the karst trough zone in China,tracer experiments were conducted at two adjacent typical karst groundwater flow systems(Yuquandong(YQD)and Migongquan(MGQ))in Sixi valley,western Hubei,China.Highresolution continuous monitoring was utilized to obtain breakthrough curves(BTCs),which were then analyzed using the multi-dispersion model(MDM)and the two-region nonequilibrium model(2RNE)with basic parameters calculated by CXTFIT and QTRACER2.Results showed that:(1)YQD flow system had a complex infiltration matrix with overland flow,conduit flow and fracture flow,while the MGQ flow system was dominated by conduit flow with fast flow transport velocity,but also small amount of fracture flow there;(2)They were well fitted based on the MDM(R^2=0.928)and 2RNE(R^2=0.947)models,indicating that they had strong adaptability in the karst trough zone;(3)conceptual models for YQD and MGQ groundwater systems were generalized.In YQD system,the solute was transported via overland flow during intense rainfall,while some infiltrated down into fissures and conduits.In MGQ system,most were directly transported to spring outlet in the fissureconduit network.展开更多
The acquisition of valuable design knowledge from massive fragmentary data is challenging for designers in conceptual product design.This study proposes a novel method for acquiring design knowledge by combining deep ...The acquisition of valuable design knowledge from massive fragmentary data is challenging for designers in conceptual product design.This study proposes a novel method for acquiring design knowledge by combining deep learning with knowledge graph.Specifically,the design knowledge acquisition method utilises the knowledge extraction model to extract design-related entities and relations from fragmentary data,and further constructs the knowledge graph to support design knowledge acquisition for conceptual product design.Moreover,the knowledge extraction model introduces ALBERT to solve memory limitation and communication overhead in the entity extraction module,and uses multi-granularity information to overcome segmentation errors and polysemy ambiguity in the relation extraction module.Experimental comparison verified the effectiveness and accuracy of the proposed knowledge extraction model.The case study demonstrated the feasibility of the knowledge graph construction with real fragmentary porcelain data and showed the capability to provide designers with interconnected and visualised design knowledge.展开更多
For the conceptual design phase of Unmanned Aerial Vehicles(UAVs),a process for conceptual design and configuration selection of Solar/Hydrogen powered UAVs(S/H-UAVs)is proposed.The design requirements of S/H-UAVs wer...For the conceptual design phase of Unmanned Aerial Vehicles(UAVs),a process for conceptual design and configuration selection of Solar/Hydrogen powered UAVs(S/H-UAVs)is proposed.The design requirements of S/H-UAVs were analyzed firstly.The proposed process used Fuzzy Quality Function Deployment(FQFD)to establish logical and quantitative standards.Moreover,in order to appropriately describe the hesitancy of experts while making decision,it used Q-Rung Dual Hesitant Fuzzy Sets(QRDHFS)to score the correlationships.In addition,a decision-making framework is proposed to perform a logical selection of typical layouts based on defuzzi-fication method and Technique for Order Preference by Similarity to the Ideal Solution(TOPSIS).The present process has been applied for S/H-UAVs.The resulting set of design requirements con-sists of three categories:Mission Requirements(MRs),Engineering Characteristics(ECs)and Tech-nical Indicators(TIs).Four typical layouts of S/H-UAVs were sorted and determined.The performance of four typical layouts were evaluated and the Strut-Braced Wing(SBW)with external hydrogen storage was selected as the best layout for S/H-UAVs.展开更多
This paper evaluates literature across multiple disciplines and stakeholder types to identify commonalities and contradictions in definitions for community resilience.It aims to support cross-disciplinary discourse to...This paper evaluates literature across multiple disciplines and stakeholder types to identify commonalities and contradictions in definitions for community resilience.It aims to support cross-disciplinary discourse to build an interdisciplinary understanding of community resilience.This work identifies the differences between mono-,multi-,inter-,and cross-disciplinary approaches to inform community resilience strategies in academic and practice-based contexts.Four themes for community resilience were identified through a review of cross-disciplinary literature.These include(1)diverse yet convergent definitions of community resilience and the evolution from equilibrium to adaptation to transformation;(2)equitable and inclusive strategies for the development of community resilience initiatives;(3)when and at what scale strategies should be implemented;and(4)community resilience as a process or an outcome.This work is valuable to those seeking to familiarise themselves with the concept of community resilience,including educators who deliver courses on community resilience and policy-makers.It is novel in that it presents an interdisciplinary framework for navigating the community resilience discourse beyond individual professional boundaries.展开更多
The problem of shield tunnel uplift is a common issue in tunnel construction.Due to the decrease in shear stiffness at the joints between the rings,uplift is typically observed as bending and dislocation deformation a...The problem of shield tunnel uplift is a common issue in tunnel construction.Due to the decrease in shear stiffness at the joints between the rings,uplift is typically observed as bending and dislocation deformation at these joints.Existing modeling methods typically rely on the Euler-Bernoulli beam theory,only considering the bending effect while disregarding shear deformation.Furthermore,the constraints on the shield tail are often neglected in existing models.In this study,an improved theoretical model of tunnel floating is proposed.The constraint effect of the shield machine shell on the tunnel structure is considered using the structural forms of two finite long beams and one semi-infinite long beam.Furthermore,the Timoshenko beam theory is adopted,providing a more accurate description of tunnel deformation,including both the bending effect and shear deformation,than existing models.Meanwhile,the buoyancy force and stratum resistance are calculated in a nonlinear manner.A reliable method for calculating the shear stiffness correction factor is proposed to better determination of the calculation parameters.The proposed theoretical model is validated through five cases using sitemonitored data.Its applicability and effectiveness are demonstrated.Furthermore,the influences of soil type,buried depth,and buoyancy force on the three key indicators of tunnel floating(i.e.the maximum uplift magnitude,the ring position with the fastest uplift race,and the ring position with the maximum uplift magnitude)are analyzed.The results indicate that the proposed model can provide a better understanding of the floating characteristics of the tunnel structure during construction.展开更多
There are five vital signs that healthcare providers assess: temperature, pulse, respiration, blood pressure, and pain. Normal levels for the five vital signs are published by the American Heart Association, and other...There are five vital signs that healthcare providers assess: temperature, pulse, respiration, blood pressure, and pain. Normal levels for the five vital signs are published by the American Heart Association, and other specialty organizations, however, the sixth vital sign (resilience) which adopts the measure of immune resilience is suggested in this paper. Resilience is the ability of the immune system to respond to attacks and defend effectively against infections and inflammatory stressors, and psychological resilience is the capacity to resist, adapt, recover, thrive, and grow from a challenge or a stressor. Individuals with better optimal immune resilience had better health outcomes than those with minimal immune resilience. The purpose of this paper is to conceptualize, contextualize, and operationalize all six vital signs. We suggest measuring resilience subjectively and objectively. Subjectively, use a 5-item guided interview revised from the Connor-Davidson Resilience Scale (CDRC), a scale of 10 items. The revised CDRC scale is a 5-item scale. The scale is rated on a 5-point Likert scale from 0 (not true) to 4 (true all the time). The total score ranges from 0 to 20, with higher total scores indicating greater resilience. The scale demonstrated good construct validity and internal consistency (α = 0.85) during the development of the scale. The CD-RISC had a good Cronbach’s alpha level of 0.85. The Revised CD-RISC can be completed in 2 - 4 minutes. To measure resilience objectively, we suggest using Immune Resilience (IR) levels, the level of resilience to preserve and/or rapidly restore immune resilience functions that promote disease resistance and control inflammation and other inflammatory stress. IR levels are gauged with two peripheral blood metrics that quantify the balance between CD8 and CD4 T-cell levels and gene expression signatures tracking longevity-associated immunocompetence and mortality- or entropy-associated inflammation. IR deregulation is potentially reversible by decreasing inflammatory stress. IR metrics and mechanisms have utility as vital signs and biomarkers for measuring immune health and improving health outcomes.展开更多
[Objectives]To explore the trend of brands towards the design of waist protection products through data mining,and to provide reference for the design concept of the contour of waist protection pillow.[Methods]The str...[Objectives]To explore the trend of brands towards the design of waist protection products through data mining,and to provide reference for the design concept of the contour of waist protection pillow.[Methods]The structural design information of all waist protection equipment was collected from the national Internet platform,and the data were classified and a database was established.IBM SPSS 26.0 and MATLAB 2018a were used to analyze the data and tabulate them in Tableau 2022.4.After the association rules were clarified,the data were imported into Cinema 4D R21 to create the concept contour of waist protection pillow.[Results]The average and standard deviation of the single airbag design were the highest in all groups,with an average of 0.511 and a standard deviation of 0.502.The average and standard deviation of the upper and lower dual airbags were the lowest in all groups,with an average of 0.015 and a standard deviation of 0.120;the correlation coefficient between single airbag and 120°arc stretching was 0.325,which was positively correlated with each other(P<0.01);the correlation coefficient between multiple airbags and 360°encircling fitting was 0.501,which was positively correlated with each other and had the highest correlation degree(P<0.01).[Conclusions]The single airbag design is well recognized by companies,and has received the highest attention among all brand products.While focusing on single airbag design,most brands will consider the need to add 120°arc stretching elements in product design.At the time of focusing on multiple airbag design,some brands believe that 360°encircling fitting elements need to be added to the product,and the correlation between the two is the highest among all groups.展开更多
基金Agriculture and Food Research Initiative Competitive Grant no.2018-67015-31936 from the USDA National Institute of Food and Agriculture.
文摘Background MicroRNAs(miRNAs)are presented in the uterine lumen of many mammals,and in vitro experiments have determined that several miRNAs are important for the regulation of endometrial and trophoblast functions.Our aim was to identify and contrast the miRNAs present in extracellular vesicles(EVs)in the uterine lumen fluid(ULF)at the onset of attachment in cattle pregnancies(gestation d 18)initiated by artificial insemination(AI)or by the trans-fer of an in vitro-produced blastocyst(IVP-ET).A third group had no conceptus after the transfer of an IVP embryo.Results The abundance of 263 annotated miRNAs was quantified in the EVs collected from ULF.There was an increase in the transcript abundance of 20 miRNAs in the ULF EVs from the AI pregnant group,while 4 miRNAs had a lower abundance relative to the group not containing a conceptus.Additionally,4 miRNAs were more abun-dant in ULF EVs in the AI pregnant group relative to IVP-ET group(bta-mir-17,bta-mir-7-3,MIR7-1,MIR18A).Specific miRNAs in the ULF EVs were co-expressed with messenger RNAs expressed in extra-embryonic tissues and endome-trium,including genes that are known to be their targets.Conclusions The results provide biological insights into the participation of miRNAs in the regulation of trophoblast proliferation and differentiation,as well as in endometrium receptivity.The knowledge that in vitro cultured embryos can contribute to the altered abundance of specific miRNAs in the uterine lumen can lead to the development of cor-rective approaches to reduce conceptus losses during the first month of pregnancy in cattle.
基金supported by the Joint Project 2016 and the Joint Project 2019,developed by the University of Verona and Fabbrica Cooperativa Perfosfati Cerea,Italy。
文摘The behaviour of nanofertilizers(NFs)in plant-soil systems can differ from that of conventional chemical fertilizers due to their peculiar chemical-physical properties.Their effectiveness is still poorly understood.In this study,we evaluated the P fertilization potential of a novel nanosized FePO4NF(FePNF)in a plant-soil microcosm in a pot experiment.The efficacies of FePNF and a conventional P fertilizer(triple superphosphate,TSP)in sustaining the growth of cucumber plants were evaluated.Plants were grown for 28 d on a P-deficient soil,and determinations were made of plant growth parameters,mineral nutrient concentrations in plant tissues,P availability in soil,activities of soil enzymes involved in C,N,P,and S mineralization,and soil microbial community structure.No significant differences were found in plant dry weight,leaf area,chlorophyll content,or root growth between the FePNF and TSP treatments.Conversely,P availability in soil and P concentration in plant tissues at the end of the plant growth period were significantly higher after TSP fertilization compared to FePNF fertilization,whereas no significant differences were observed for other nutrients.Among the measured soil enzyme activities,there were no significant differences in the activities of soil acid phosphatase,β-glucosidase,and arylsulfatase between the FePNF and TSP treatments,while soil alkaline phosphatase activity was higher in the TSP treatment than in the FePNF treatment and the protease activity was higher in the FePNF treatment than in the TSP treatment.The FePNF and TSP treatments showed significant differences in soil archaeal,bacterial,and fungal community structures,although the microbial community profiles generally clustered closer to each other in the two treatments.We concluded that FePNF can be an efficient alternative to the conventional P fertilizer TSP.
基金funding from the U.S.-Kazakhstan University Partnerships program funded by the U.S.Mission to Kazakhstan and administered by American Councils[Award number SKZ100-19-CA-0149].
文摘Cultivation metaphors that compare teachers and students to gardeners and plants,respectively,have a long presence in the field of education.While such metaphors can be used to represent learner-centered pedagogies in which a teacher fosters the growth of their students,there is also a darker side to cultivation metaphors.For instance,Zipory(2020)argues that characteristics of agriculture’s grain economy-like repetitiveness,coercion,and lack of diversity-can be imposed onto education.Following Zipory’s call for the forest to serve as a more apt metaphorical trajectory for education,I propose using the forest garden as a middle ground between the traditional garden and the natural forest.To highlight the potential usefulness of the forest garden metaphor in education,I explore its application as related to teacher professional development(PD),specifically content and language integrated learning(CLIL)PD.By reflecting on the design and outcomes of Project SCILLA,a CLIL PD program for Kazakhstani university instructors,as well as CLIL PD more broadly,I demonstrate how the forest garden metaphor conceptualizes the relationships and power dynamics between and across various stakeholders in education in response to global rhetoric,national and local policies,and interpersonal interactions.By emulating the sustainable forest garden’s principles of planning and intentionality,localization,interconnectedness,diversity,creativity,and growth from decay,stakeholders can(re)shape the policies and practices of multilingual,multicultural education systems.In addition,education researchers can use a metaphorical forest garden lens to better appreciate the complexities at play within dynamic educational landscapes.
基金2024 Academic Research of Zhejiang Technical Institute of Economics:“Spillover Effects of Multimodal AI Agents on Green School Development”(Project No.:X2024038)2024-2025 Research and Creative Project,Department of Culture and Tourism:“The Application of Digital Information Technology in Safety Early Warning and Supervision of Cultural Relics in Zhejiang,China”(Project No.:2024KYY045)2024 General Research Project of Zhejiang Provincial Department of Education:“Empirical Research on Low-Carbon Economy Driving the Development of New Quality Productivity:A Case Study of Zhejiang Province”(Project No.:Y202456145)。
文摘The integration of Green Artificial Intelligence(AI)technologies into educational systems offers a promising avenue to enhance operational efficiency while addressing sustainability challenges.Through a rigorous three-phase methodology combining literature review,AI agent development,and participatory workshop-based case analysis,this paper highlights the pivotal role of AI agents,as applications of Green AI technologies,in driving transformative outcomes within schools.By directly improving self-learning efficiency and reducing learning costs for students,enhancing management and service efficiency,reducing labor costs for schools,as well as minimizing resource dependence for both teachers and students,AI agents create a foundation for sustainable operations.These direct effects generate positive spillover effects,cascading into broader outcomes,including innovation performance,economic efficiency,and environmental sustainability,aligning with the United Nations Sustainable Development Goals(SDGs).By presenting a comprehensive conceptual model,this study demonstrates the pathways through which Green AI contributes to sustainable development in education and emphasizes its critical role in bridging technological innovation with sustainability.This framework provides significant theoretical insights for further empirical research while offering actionable strategies for policymakers and educators to harness Green AI for building sustainable schools with a student-centered approach.
基金Open Access funding enabled and organized by Projekt DEAL.
文摘This geo-historical case study analyses Vistelius’ingenious idea of conceptual stochastic models and their application as Markov chain analysis in the geosciences.Vistelius(1915–1995)is regarded as one of the founders of mathematical geology.He was the fi rst to defi ne mathematical geology as“a scientifi c discipline concerned with the construction,analysis and use of conceptual mathematical models of geological events to solve concrete problems”(Vistelius in Principles of mathematical geology,Nauka,Leningrad,1980;Principles of mathematical geology,Kluwer Academic Publishers,Dordrecht,1992).Mathematical models in this context should be primarily probabilistic because of the large number of infl uencing natural factors.They must be conceptual to avoid fundamental errors in application.Vistelius devoted his seminal book to geological random sequences and their description and analysis using Markov models as stochastic tools.He applied this approach to grain sequences in granitic intrusive rocks and to sedimentary rock layers.Among other things,Vistelius has used Markov chain analysis in mineral resource exploration to distinguish between“ideal”granites,which are not subsequently mineralized,and mainly hydrothermally mineralized,sometimes ore-bearing granites which contain at least two generations of main minerals.The application of this special conceptual stochastic model is demonstrated on Lusatian granite(Saxony,Germany).
文摘Jovani et al’s study contributes important evidence linking childhood trauma(CT)and parental socialization with at-risk mental state(ARMS)in non-clinical adolescents,demonstrating the mediating role of low levels of parental affection and communication in this relationship.This letter commends the study’s strengths while also identifying key issues that warrant further attention,including the limitations of cross-sectional design,potential perceptual biases,conceptual overlap between CT and parenting,and limited cultural generalizability.We advocate for longitudinal,culturally sensitive,and multi-informant approaches to further refine ARMS risk models,strengthen theoretical distinctions between CT and parenting,and inform targeted prevention strategies across diverse populations.We also extend the discussion by highlighting promising directions for future research.
文摘Chinese political discourse is the embodiment of the will of the people,the will of the CPC and the will of China.Conceptual metaphor is closely related to political discourse.Taking the 2022 government work report as an example,this paper discusses the metaphor problems in political discourse,and analyzes the metaphorical expressions and their functions in political discourse.Based on this,eco-translatology is used to analyze the translation strategies of metaphors in political discourse to help Chinese political discourse get better publicity.
文摘The phenomenon of verbal-to-nominal shift(hereafter referred to as“V-N shift”)exists in both English and Chinese.It reflects both the universal conceptual metonymic thinking and the principle of linguistic economy.Focusing on conceptual metonymy theory and combined with the Event Idealized Cognitive Model(ICM),this paper systematically compares the V-N shift phenomenon in English and Chinese.The study shows that English and Chinese V-N shifts share the core cognitive mechanism of“conceptual proximity within the Event ICM”,while significant differences exist in type distribution and usage frequency.This analysis not only helps deepen the understanding of the cognitive logic behind English and Chinese V-N shifts but also provides a new perspective for the study of word-class conversion and the relationship between language and thinking.
基金supported by the National Natural Science Foundation of China(Nos.42007178 and 41907327)the Natural Science Foundation of Hubei(Nos.2020CFB463 and 2019CFB372)+4 种基金China Geological Survey(Nos.DD20160304 and DD20190824)Fundamental Research Funds for the Central Universities(Nos.CUG 190644 and CUGL180817)National Key Research and Development Program(No.2019YFC1805502)Key Laboratory of Karst Dynamics,MNR and GZAR(Institute of Karst Geology,CAGS)Guilin(No.KDL201703)Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification,MNR and IRCK by UNESCO(No.KDL201903)。
文摘To investigate groundwater flow and solute transport characteristics of the karst trough zone in China,tracer experiments were conducted at two adjacent typical karst groundwater flow systems(Yuquandong(YQD)and Migongquan(MGQ))in Sixi valley,western Hubei,China.Highresolution continuous monitoring was utilized to obtain breakthrough curves(BTCs),which were then analyzed using the multi-dispersion model(MDM)and the two-region nonequilibrium model(2RNE)with basic parameters calculated by CXTFIT and QTRACER2.Results showed that:(1)YQD flow system had a complex infiltration matrix with overland flow,conduit flow and fracture flow,while the MGQ flow system was dominated by conduit flow with fast flow transport velocity,but also small amount of fracture flow there;(2)They were well fitted based on the MDM(R^2=0.928)and 2RNE(R^2=0.947)models,indicating that they had strong adaptability in the karst trough zone;(3)conceptual models for YQD and MGQ groundwater systems were generalized.In YQD system,the solute was transported via overland flow during intense rainfall,while some infiltrated down into fissures and conduits.In MGQ system,most were directly transported to spring outlet in the fissureconduit network.
基金This research is supported by the Chinese Special Projects of the National Key Research and Development Plan(2019YFB1405702).
文摘The acquisition of valuable design knowledge from massive fragmentary data is challenging for designers in conceptual product design.This study proposes a novel method for acquiring design knowledge by combining deep learning with knowledge graph.Specifically,the design knowledge acquisition method utilises the knowledge extraction model to extract design-related entities and relations from fragmentary data,and further constructs the knowledge graph to support design knowledge acquisition for conceptual product design.Moreover,the knowledge extraction model introduces ALBERT to solve memory limitation and communication overhead in the entity extraction module,and uses multi-granularity information to overcome segmentation errors and polysemy ambiguity in the relation extraction module.Experimental comparison verified the effectiveness and accuracy of the proposed knowledge extraction model.The case study demonstrated the feasibility of the knowledge graph construction with real fragmentary porcelain data and showed the capability to provide designers with interconnected and visualised design knowledge.
文摘For the conceptual design phase of Unmanned Aerial Vehicles(UAVs),a process for conceptual design and configuration selection of Solar/Hydrogen powered UAVs(S/H-UAVs)is proposed.The design requirements of S/H-UAVs were analyzed firstly.The proposed process used Fuzzy Quality Function Deployment(FQFD)to establish logical and quantitative standards.Moreover,in order to appropriately describe the hesitancy of experts while making decision,it used Q-Rung Dual Hesitant Fuzzy Sets(QRDHFS)to score the correlationships.In addition,a decision-making framework is proposed to perform a logical selection of typical layouts based on defuzzi-fication method and Technique for Order Preference by Similarity to the Ideal Solution(TOPSIS).The present process has been applied for S/H-UAVs.The resulting set of design requirements con-sists of three categories:Mission Requirements(MRs),Engineering Characteristics(ECs)and Tech-nical Indicators(TIs).Four typical layouts of S/H-UAVs were sorted and determined.The performance of four typical layouts were evaluated and the Strut-Braced Wing(SBW)with external hydrogen storage was selected as the best layout for S/H-UAVs.
基金Royal Academy of Engineers(RAE)for funding this collaborative research via their‘Frontiers of Development’award programme.
文摘This paper evaluates literature across multiple disciplines and stakeholder types to identify commonalities and contradictions in definitions for community resilience.It aims to support cross-disciplinary discourse to build an interdisciplinary understanding of community resilience.This work identifies the differences between mono-,multi-,inter-,and cross-disciplinary approaches to inform community resilience strategies in academic and practice-based contexts.Four themes for community resilience were identified through a review of cross-disciplinary literature.These include(1)diverse yet convergent definitions of community resilience and the evolution from equilibrium to adaptation to transformation;(2)equitable and inclusive strategies for the development of community resilience initiatives;(3)when and at what scale strategies should be implemented;and(4)community resilience as a process or an outcome.This work is valuable to those seeking to familiarise themselves with the concept of community resilience,including educators who deliver courses on community resilience and policy-makers.It is novel in that it presents an interdisciplinary framework for navigating the community resilience discourse beyond individual professional boundaries.
基金the National Natural Science Foundation of China (Grant Nos.52379111,51979270 and 52208380).
文摘The problem of shield tunnel uplift is a common issue in tunnel construction.Due to the decrease in shear stiffness at the joints between the rings,uplift is typically observed as bending and dislocation deformation at these joints.Existing modeling methods typically rely on the Euler-Bernoulli beam theory,only considering the bending effect while disregarding shear deformation.Furthermore,the constraints on the shield tail are often neglected in existing models.In this study,an improved theoretical model of tunnel floating is proposed.The constraint effect of the shield machine shell on the tunnel structure is considered using the structural forms of two finite long beams and one semi-infinite long beam.Furthermore,the Timoshenko beam theory is adopted,providing a more accurate description of tunnel deformation,including both the bending effect and shear deformation,than existing models.Meanwhile,the buoyancy force and stratum resistance are calculated in a nonlinear manner.A reliable method for calculating the shear stiffness correction factor is proposed to better determination of the calculation parameters.The proposed theoretical model is validated through five cases using sitemonitored data.Its applicability and effectiveness are demonstrated.Furthermore,the influences of soil type,buried depth,and buoyancy force on the three key indicators of tunnel floating(i.e.the maximum uplift magnitude,the ring position with the fastest uplift race,and the ring position with the maximum uplift magnitude)are analyzed.The results indicate that the proposed model can provide a better understanding of the floating characteristics of the tunnel structure during construction.
文摘There are five vital signs that healthcare providers assess: temperature, pulse, respiration, blood pressure, and pain. Normal levels for the five vital signs are published by the American Heart Association, and other specialty organizations, however, the sixth vital sign (resilience) which adopts the measure of immune resilience is suggested in this paper. Resilience is the ability of the immune system to respond to attacks and defend effectively against infections and inflammatory stressors, and psychological resilience is the capacity to resist, adapt, recover, thrive, and grow from a challenge or a stressor. Individuals with better optimal immune resilience had better health outcomes than those with minimal immune resilience. The purpose of this paper is to conceptualize, contextualize, and operationalize all six vital signs. We suggest measuring resilience subjectively and objectively. Subjectively, use a 5-item guided interview revised from the Connor-Davidson Resilience Scale (CDRC), a scale of 10 items. The revised CDRC scale is a 5-item scale. The scale is rated on a 5-point Likert scale from 0 (not true) to 4 (true all the time). The total score ranges from 0 to 20, with higher total scores indicating greater resilience. The scale demonstrated good construct validity and internal consistency (α = 0.85) during the development of the scale. The CD-RISC had a good Cronbach’s alpha level of 0.85. The Revised CD-RISC can be completed in 2 - 4 minutes. To measure resilience objectively, we suggest using Immune Resilience (IR) levels, the level of resilience to preserve and/or rapidly restore immune resilience functions that promote disease resistance and control inflammation and other inflammatory stress. IR levels are gauged with two peripheral blood metrics that quantify the balance between CD8 and CD4 T-cell levels and gene expression signatures tracking longevity-associated immunocompetence and mortality- or entropy-associated inflammation. IR deregulation is potentially reversible by decreasing inflammatory stress. IR metrics and mechanisms have utility as vital signs and biomarkers for measuring immune health and improving health outcomes.
基金Supported by Municipal Public Welfare Science and Technology Project of Zhoushan Science and Technology Bureau,Zhejiang Province(2021C31064).
文摘[Objectives]To explore the trend of brands towards the design of waist protection products through data mining,and to provide reference for the design concept of the contour of waist protection pillow.[Methods]The structural design information of all waist protection equipment was collected from the national Internet platform,and the data were classified and a database was established.IBM SPSS 26.0 and MATLAB 2018a were used to analyze the data and tabulate them in Tableau 2022.4.After the association rules were clarified,the data were imported into Cinema 4D R21 to create the concept contour of waist protection pillow.[Results]The average and standard deviation of the single airbag design were the highest in all groups,with an average of 0.511 and a standard deviation of 0.502.The average and standard deviation of the upper and lower dual airbags were the lowest in all groups,with an average of 0.015 and a standard deviation of 0.120;the correlation coefficient between single airbag and 120°arc stretching was 0.325,which was positively correlated with each other(P<0.01);the correlation coefficient between multiple airbags and 360°encircling fitting was 0.501,which was positively correlated with each other and had the highest correlation degree(P<0.01).[Conclusions]The single airbag design is well recognized by companies,and has received the highest attention among all brand products.While focusing on single airbag design,most brands will consider the need to add 120°arc stretching elements in product design.At the time of focusing on multiple airbag design,some brands believe that 360°encircling fitting elements need to be added to the product,and the correlation between the two is the highest among all groups.
