This essay accesses to the approach of corpus applied to translation teaching, in order to improve the teaching methods, lay the foundation for the translation teaching reform, cultivate students research ability, and...This essay accesses to the approach of corpus applied to translation teaching, in order to improve the teaching methods, lay the foundation for the translation teaching reform, cultivate students research ability, and finally to establish a new type of translation teaching design-- ＂ability-development-oriented design＂. Also, this paper takes the word ＂good＂ for example, looking for the general rules to translate it and its common collocation, in order to design a translation class. Corpus-based learning and teaching provides us a new feasible way of translation class.展开更多
The convergence of high-resolution multi-omics technologies with computational systems biology is transforming plant physiology by enabling predictive,mechanistic,and field-relevant insights into crop performance,adap...The convergence of high-resolution multi-omics technologies with computational systems biology is transforming plant physiology by enabling predictive,mechanistic,and field-relevant insights into crop performance,adaptation,and resilience.This review presents an integrative and forward-looking synthesis spanning genomics,transcriptomics,proteomics,metabolomics,epigenomics,phenomics,and the rapidly emerging fields of single-cell and spatial omics,highlighting how these complementary layers can be computationally unified to achieve cell-type-resolved and tissue-specific insights into plant function.We discuss integrative analytical frameworks that combine gene regulatory network inference,machine learning,and explainable artificial intelligence(XAI),illustrating how these approaches accelerate the identification of key regulators,improve genotype-environment interaction modeling,and advance multiscale phenotypic prediction.Representative case studies demonstrate how multi-omics integration-ranging from single-cell transcriptomic atlases in Arabidopsis to nitrogen-use-efficiency modeling and omics-guided genome editing in cereals-bridges laboratory-scale discovery with field-level validation.We further propose a translational roadmap that links persistent bottlenecks,including data heterogeneity,limited spatiotemporal resolution,and the underrepresentation of non-model species,with actionable solutions such as FAIR-compliant data infrastructures,high-resolution spatiotemporal omics,hybrid mechanistic artificial intelligence(AI)modeling,and digital twin frameworks.By connecting molecular mechanisms to ecosystem-level performance,this review articulates a coherent vision for predictive,design-driven,and climate-resilient agriculture grounded in systems-level plant biology.展开更多
Compliant translational joints （CTJs） have been extensively used in precision engineering and microelectromechanical systems （MEMS）. There is an increasing need for designing higher-performance CTJs. This paper de...Compliant translational joints （CTJs） have been extensively used in precision engineering and microelectromechanical systems （MEMS）. There is an increasing need for designing higher-performance CTJs. This paper deals with the conceptual design of CTJs via three approaches： parallelogram based method, straight- line motion mechanism based method and combination based method. Typical emerging CTJ designs are reviewed by explaining their design principles and qualitatively analyzing their characteristics. New CTJs are proposed using three approaches, including an asymmetric double parallelogram mechanism with slaving mechanism, several compact and symmetric double parallelogram mechanisms with slaving mechanisms and a general CTJ using the center drift compensation and a CTJ using Roberts linkage and several combination designs. This paper provides an overview of the current advances/progresses of CTJ designs and lays the foundation for further optimization, quantitative analysis and characteristic comparisons.展开更多
文摘This essay accesses to the approach of corpus applied to translation teaching, in order to improve the teaching methods, lay the foundation for the translation teaching reform, cultivate students research ability, and finally to establish a new type of translation teaching design-- ＂ability-development-oriented design＂. Also, this paper takes the word ＂good＂ for example, looking for the general rules to translate it and its common collocation, in order to design a translation class. Corpus-based learning and teaching provides us a new feasible way of translation class.
文摘The convergence of high-resolution multi-omics technologies with computational systems biology is transforming plant physiology by enabling predictive,mechanistic,and field-relevant insights into crop performance,adaptation,and resilience.This review presents an integrative and forward-looking synthesis spanning genomics,transcriptomics,proteomics,metabolomics,epigenomics,phenomics,and the rapidly emerging fields of single-cell and spatial omics,highlighting how these complementary layers can be computationally unified to achieve cell-type-resolved and tissue-specific insights into plant function.We discuss integrative analytical frameworks that combine gene regulatory network inference,machine learning,and explainable artificial intelligence(XAI),illustrating how these approaches accelerate the identification of key regulators,improve genotype-environment interaction modeling,and advance multiscale phenotypic prediction.Representative case studies demonstrate how multi-omics integration-ranging from single-cell transcriptomic atlases in Arabidopsis to nitrogen-use-efficiency modeling and omics-guided genome editing in cereals-bridges laboratory-scale discovery with field-level validation.We further propose a translational roadmap that links persistent bottlenecks,including data heterogeneity,limited spatiotemporal resolution,and the underrepresentation of non-model species,with actionable solutions such as FAIR-compliant data infrastructures,high-resolution spatiotemporal omics,hybrid mechanistic artificial intelligence(AI)modeling,and digital twin frameworks.By connecting molecular mechanisms to ecosystem-level performance,this review articulates a coherent vision for predictive,design-driven,and climate-resilient agriculture grounded in systems-level plant biology.
文摘Compliant translational joints （CTJs） have been extensively used in precision engineering and microelectromechanical systems （MEMS）. There is an increasing need for designing higher-performance CTJs. This paper deals with the conceptual design of CTJs via three approaches： parallelogram based method, straight- line motion mechanism based method and combination based method. Typical emerging CTJ designs are reviewed by explaining their design principles and qualitatively analyzing their characteristics. New CTJs are proposed using three approaches, including an asymmetric double parallelogram mechanism with slaving mechanism, several compact and symmetric double parallelogram mechanisms with slaving mechanisms and a general CTJ using the center drift compensation and a CTJ using Roberts linkage and several combination designs. This paper provides an overview of the current advances/progresses of CTJ designs and lays the foundation for further optimization, quantitative analysis and characteristic comparisons.
