The increasing prevalence of technology in society has an impact on young people’s language use and development. Greeklish is the writing of Greek texts using the Latin instead of the Greek alphabet, a practice known...The increasing prevalence of technology in society has an impact on young people’s language use and development. Greeklish is the writing of Greek texts using the Latin instead of the Greek alphabet, a practice known as Latinization, also employed for many non-latin alphabet languages. The primary aim of this research is to evaluate the effect of Greeklish on reading time. A sample of 732 young Greeks were asked about their habits when communicating through e-mail and social media with their friends and they then participated in an experiment in which they were asked to read and understand two short texts, one written in Greek and the other in Greeklish. The findings of the research show that nearly one third of the participants use Greeklish. The results of the experiment conducted reveal that understanding is not affected by the alphabet used but reading Greeklish is significantly more time consuming than reading Greek independently of the sex and the familiarity of the participants with Greeklish. The findings suggest that amending social and communication media with software utilities related to Latinization such as language identifiers and converters may reduce reading time and thus facilitate written communication among the users.展开更多
In mixture experiments,the observed response is determined by the relative proportions of the components,consequently rendering the experimental region a simplex.This paper focuses primarily on the optimal designs of ...In mixture experiments,the observed response is determined by the relative proportions of the components,consequently rendering the experimental region a simplex.This paper focuses primarily on the optimal designs of mixture experiments that involve process variables.Prior research has extensively delved into optimal orthogonal block designs for some classic mixture models with process variables.Based on the framework of general blending models,this paper proposes a class of symmetric linear mixture models,which can be regarded as a generalization of many existing ones.Under the orthogonal blocking conditions,orthogonal block designs are devised through Latin squares in the presence of process variables.TheD-,A-,and E-optimality criteria are utilized to obtain optimal designs at the boundary of the simplex in the case of 3 components.As the values of the exponents change,numerically derived optimal design points are presented to illustrate the pattern of their variations,and to verify the consistency of the results with previous research on some specific symmetric general blending models.展开更多
The word “senescence” comes from the Latin senescens, meaning “to begin to age”, and is characterized by a long-lasting but reversible block in proliferation, resulting from stress-induced cell cycle arrest of pre...The word “senescence” comes from the Latin senescens, meaning “to begin to age”, and is characterized by a long-lasting but reversible block in proliferation, resulting from stress-induced cell cycle arrest of previously replication-competent cells.展开更多
For uncertainty quantification of complex models with high-dimensional,nonlinear,multi-component coupling like digital twins,traditional statistical sampling methods,such as random sampling and Latin hypercube samplin...For uncertainty quantification of complex models with high-dimensional,nonlinear,multi-component coupling like digital twins,traditional statistical sampling methods,such as random sampling and Latin hypercube sampling,require a large number of samples,which entails huge computational costs.Therefore,how to construct a small-size sample space has been a hot issue of interest for researchers.To this end,this paper proposes a sequential search-based Latin hypercube sampling scheme to generate efficient and accurate samples for uncertainty quantification.First,the sampling range of the samples is formed by carving the polymorphic uncertainty based on theoretical analysis.Then,the optimal Latin hypercube design is selected using the Latin hypercube sampling method combined with the"space filling"criterion.Finally,the sample selection function is established,and the next most informative sample is optimally selected to obtain the sequential test sample.Compared with the classical sampling method,the generated samples can retain more information on the basis of sparsity.A series of numerical experiments are conducted to demonstrate the superiority of the proposed sequential search-based Latin hypercube sampling scheme,which is a way to provide reliable uncertainty quantification results with small sample sizes.展开更多
Joanna Page is Director of CRASSH and Professor of Latin American Studies at the University of Cambridge.Her research interests are generally connected to the relationship between science and culture in Latin America....Joanna Page is Director of CRASSH and Professor of Latin American Studies at the University of Cambridge.Her research interests are generally connected to the relationship between science and culture in Latin America.She has also worked on questions of memory,modernity,capitalism,posthumanism,new materialism,decoloniality,ecology,and environmental thought.This interview covers three main aspects:the characteristics of science fiction texts in Latin America,the interdisciplinary research models at the intersection of science,literature,and art,and Latin America as a field of regional studies.Professor Page starts with Argentine science fiction novels and expands the discussion to include graphic novels in Latin America,outlining the panorama of science fiction and its indigenous features.The conversation delves into the literary and technological relationships within Latin American science fiction texts.Building upon this foundation,this interview explores the interdisciplinary research paradigms concerning the relationship between science and culture,aiming to contribute to regional studies by exploring new pathways for interdisciplinary,cross-regional,and trans-media research.展开更多
On May 17,2017,President Xi Jinping met with Argentine President Mauricio Macri at the Great Hall of the People in Beijing,where they were attending the Belt and Road Forum for International Cooperation.Xi stated that...On May 17,2017,President Xi Jinping met with Argentine President Mauricio Macri at the Great Hall of the People in Beijing,where they were attending the Belt and Road Forum for International Cooperation.Xi stated that,as Latin America is a natural extension of the 21st Century Maritime Silk Road,China is willing to strengthen cooperation with Latin America,align development strategies within the framework of the Belt and Road Initiative(BRI),promote common development,and build a China-Latin America community with a shared future.展开更多
Latin America and the Caribbean(hereinafter referred to as“LAC”)is an important part of the Global South.It is the region where developing countries that achieved independence the earliest and initiated their modern...Latin America and the Caribbean(hereinafter referred to as“LAC”)is an important part of the Global South.It is the region where developing countries that achieved independence the earliest and initiated their modernization process the earliest are located.LAC modernization has a history of over 150 years.In this process,it has been profoundly influenced by Western theories such as classical liberalism and neoliberalism.展开更多
With a long-standing tradition in the development of critical theories, Latin America seeks, through a myriad of perspectives, to understand its peripheral position within the mechanisms of the world system. This pape...With a long-standing tradition in the development of critical theories, Latin America seeks, through a myriad of perspectives, to understand its peripheral position within the mechanisms of the world system. This paper aims to examine the role of race and gender in sustaining the capitalist world system through the lens of decolonial studies. It considers how both categories were historically constructed during the colonial process as tools to legitimize social, economic, and political hierarchies between the dominant and the dominated. In particular, the division of labor, based on racial and gendered distinctions, was instrumental in shaping these power relations. By analyzing these categories as central elements in the formation and maintenance of the capitalist world system, the study highlights their continued influence in perpetuating inequalities today.展开更多
On June 20,the 7th China-Latin America and Caribbean Think Tank Forum was held in Beijing.The forum carried the theme“Working Together to Build a China-LAC Community with a Shared Future.”Assistant Foreign Minister ...On June 20,the 7th China-Latin America and Caribbean Think Tank Forum was held in Beijing.The forum carried the theme“Working Together to Build a China-LAC Community with a Shared Future.”Assistant Foreign Minister Miao Deyu attended the opening ceremony and delivered remarks.Leonel Caraballo Maqueira,Vice President of the Cuban Diplomatic Academy,and Martin Charles,Ambassador of Dominica to China and Representative of the Latin American and Caribbean Diplomatic Corps in China,attended the meeting and delivered speeches.展开更多
On the morning of October 15,people from different countries will queue up at the entrance of Centro Banamex,the international convention and exhibition center in Mexico.There are local dealers present,Brazilian build...On the morning of October 15,people from different countries will queue up at the entrance of Centro Banamex,the international convention and exhibition center in Mexico.There are local dealers present,Brazilian builders identifiable by their yellow-green,fluorescent vests,Canadian buyers carrying computer bags,and a group of Chinese individuals with aluminum alloy suitcases labeled“Foshan Ceramics”,“Yongkang Hardware”,and“Anji Bamboo Floor”.展开更多
Neuroscience (also known as neurobiology) is a science that studies the structure, function, development, pharmacology and pathology of the nervous system. In recent years, C. Cotardo has introduced coding theory into...Neuroscience (also known as neurobiology) is a science that studies the structure, function, development, pharmacology and pathology of the nervous system. In recent years, C. Cotardo has introduced coding theory into neuroscience, proposing the concept of combinatorial neural codes. And it was further studied in depth using algebraic methods by C. Curto. In this paper, we construct a class of combinatorial neural codes with special properties based on classical combinatorial structures such as orthogonal Latin rectangle, disjoint Steiner systems, groupable designs and transversal designs. These neural codes have significant weight distribution properties and large minimum distances, and are thus valuable for potential applications in information representation and neuroscience. This study provides new ideas for the construction method and property analysis of combinatorial neural codes, and enriches the study of algebraic coding theory.展开更多
Genomic medicine has evolved significantly,merging centuries of scientific progress with modern molecular biology and clinical care.It utilizes knowledge of the human genome to enhance disease prevention,diagnosis,tre...Genomic medicine has evolved significantly,merging centuries of scientific progress with modern molecular biology and clinical care.It utilizes knowledge of the human genome to enhance disease prevention,diagnosis,treatment,and potential reversal.Genomic medicine in hepatology is particularly promising due to the crucial role of the liver in several metabolic processes and its association with diseases such as metabolic dysfunction-associated steatotic liver disease,type 2 diabetes mellitus,liver cirrhosis,and cardiovascular conditions.The mid-20th century witnessed a paradigm shift in medicine,marked by the emergence of molecular biology,which enabled a deeper understanding of gene expression and regulation.This connection between basic science and clinical practice has enhanced our knowledge of the role of gene-environment interactions in the onset and progression of liver diseases.In Latin America,including Mexico,with its genetically diverse and admixed populations,genomic medicine provides a foundation for personalized and culturally relevant health strategies.This review highlights the need for genomic medicine,examining its historical evolution,integration into hepatology in Mexico,and its potential applications in the prevention of chronic diseases.It emphasizes the importance of training in genomic literacy and interdisciplinary education in medical training,particularly in the field of hepatology,with a focus on genomic medicine expertise.展开更多
With the continuous improvement of the accuracy of geodetic deformation data,the inversion of seismic source parameters puts forward a higher demand for nonlinear inversion algorithms.In this research,an improved Spar...With the continuous improvement of the accuracy of geodetic deformation data,the inversion of seismic source parameters puts forward a higher demand for nonlinear inversion algorithms.In this research,an improved Sparrow Search Algorithm(SSA)is proposed for the seismic source parameter inversion problem.By replacing the original population generation in the improved algorithm with Latin hypercubic sampling,the Sparrow Search Algorithm reduces the repetition of samples in the population initialization.Subsequently,the algorithm introduces adaptive weights in the discoverer generation phase of the sparrow algorithm and combines the Levy flight strategy to make the algorithm more comprehensive and improve the search accuracy during the whole iteration process.Therefore,the improved Latin hypercube-based sparrow search algorithm(ILHSSA)has better advantages in terms of iterative convergence speed and stability.In order to verify the performance of ILHSSA,the basic genetic algorithm(GA)and sparrow search algorithm(SSA)are examined and compared with ILHSSA by simulated earthquakes of two different earthquake types.The simulation experiments show that the improved algorithm ILHSSA outperforms SSA in accuracy and stability.Compared with the GA algorithm,ILHSSA can achieve the same inversion accuracy as GA,and it even surpasses GA in inversion speed and the inversion results of some parameters,demonstrating better stability.Finally,the improved algorithm is used for the 2017 Bodrum-Cos earthquake and the 2016 Amatrice earthquake in Italy.The inversion results all reflect the practicality and reliability of the improved algorithm.展开更多
The Multilayer Perceptron(MLP)is a fundamental neural network model widely applied in various domains,particularly for lightweight image classification,speech recognition,and natural language processing tasks.Despite ...The Multilayer Perceptron(MLP)is a fundamental neural network model widely applied in various domains,particularly for lightweight image classification,speech recognition,and natural language processing tasks.Despite its widespread success,training MLPs often encounter significant challenges,including susceptibility to local optima,slow convergence rates,and high sensitivity to initial weight configurations.To address these issues,this paper proposes a Latin Hypercube Opposition-based Elite Variation Artificial Protozoa Optimizer(LOEV-APO),which enhances both global exploration and local exploitation simultaneously.LOEV-APO introduces a hybrid initialization strategy that combines Latin Hypercube Sampling(LHS)with Opposition-Based Learning(OBL),thus improving the diversity and coverage of the initial population.Moreover,an Elite Protozoa Variation Strategy(EPVS)is incorporated,which applies differential mutation operations to elite candidates,accelerating convergence and strengthening local search capabilities around high-quality solutions.Extensive experiments are conducted on six classification tasks and four function approximation tasks,covering a wide range of problem complexities and demonstrating superior generalization performance.The results demonstrate that LOEV-APO consistently outperforms nine state-of-the-art metaheuristic algorithms and two gradient-based methods in terms of convergence speed,solution accuracy,and robustness.These findings suggest that LOEV-APO serves as a promising optimization tool for MLP training and provides a viable alternative to traditional gradient-based methods.展开更多
Green transition fosters a harmonious balance between economic growth and ecological preservation.It drives innovation and the development of sustainable technologies and practices,which in turn create new economic op...Green transition fosters a harmonious balance between economic growth and ecological preservation.It drives innovation and the development of sustainable technologies and practices,which in turn create new economic opportunities.In recent years,faced with severe development pressures caused by climate change and environmental issues,Latin American countries have stepped up efforts to implement green transition plans and achieved certain progress in sectors such as renewable energy,eco-friendly manufacturing,and green infrastructure.Notably,Latin America's green economy transition approach coincides with China's drive to accelerate green transition in all areas of economic and social development.Closer“green cooperation”with China will significantly boost Latin America's transition towards a green economy.展开更多
Growing climate change concerns have intensified the focus on agribusiness sustainability,driving an urgent energy transition to improve production efficiency and mitigate environmental harm.The complex interplay betw...Growing climate change concerns have intensified the focus on agribusiness sustainability,driving an urgent energy transition to improve production efficiency and mitigate environmental harm.The complex interplay between energy efficiency and energy consumption highlights the essential role of strategic energy policies in ensuring sustainable development.This study used the Double-Log regression model with bootstrap resampling to examine the rebound effect in the energy transition of agribusiness focusing on five Latin American countries including Brazil,Argentina,Uruguay,Colombia,and Mexico based on the agricultural sector data during 2010–2022.The findings revealed that the rebound effect significantly influences energy transition,with varying degrees of impact across agricultural sectors.This study identified partial rebound effect across all five countries,with elasticity coefficient varying from 9.63%(Colombia’s coffee sector)to 89.12%(Brazil’s livestock sector).In Brazil’s sugarcane sector,nonrenewable energy,agricultural employment,and irrigation efficiency were identified as key factors influencing energy consumption,while in livestock sector,energy consumption was affected by CH_(4)emissions,income and well-being of farmers,water consumption,and water conservation practices.In Mexico’s livestock sector,CH_(4)emissions,nonrenewable energy,and water conservation practices were the key factors affecting energy consumption.In Argentina’s sugarcane sector,pesticides,NO_(2)emissions,renewable energy,and agricultural employment were the key factors affecting energy consumption,while renewable energy,income and well-being of farmers,and water consumption were the key factors affecting energy consumption in livestock sector.In Uruguay’s livestock sector,non-renewable energy,income and well-being of farmers,and irrigation efficiency were the key factors affecting energy consumption.In Colombia’coffee sector,NO_(2)emissions and irrigation efficiency were identified as key factors influencing energy consumption.Finally,this study reinforces the importance of aligning energy transition with Sustainable Development Goals(SDGs),ensuring that energy efficiency gains do not inadvertently increase energy consumption or environmental degradation.展开更多
Today,more than 90%of children who are born with congenital heart disease survive and reach adulthood,especially in developed countries.Consequently,the population of adults with congenital heart disease has increased...Today,more than 90%of children who are born with congenital heart disease survive and reach adulthood,especially in developed countries.Consequently,the population of adults with congenital heart disease has increased signiffcantly over the last few decades.In Latin America and the Caribbean countries,this same scenario is occurring at an accelerated pace.Loss to follow-up is a global problem in adults with congenital heart disease,ranging from 30–60%.In Latin America and Caribbean countries,it is estimated that less than 10%of adults with congenital heart disease are being followed.The small number of specialists and adult congenital heart disease specialized centers,as well as virtually nonexistent transition and transfer programs,are some of the reasons for this.This article is a narrative review of the current status of the transition and transfer of young adults with congenital heart disease,with a special focus on Latin America and Caribbean countries.It describes the general concepts of transition and transfer,analyzes barriers and,ffnally,presents specialized care alternatives that would reduce losses and improve this population’s care.展开更多
Probabilistic assessment of seismic performance(SPPA)is a crucial aspect of evaluating the seismic behavior of structures.For complex bridges with inherent uncertainties,conducting precise and efficient seismic reliab...Probabilistic assessment of seismic performance(SPPA)is a crucial aspect of evaluating the seismic behavior of structures.For complex bridges with inherent uncertainties,conducting precise and efficient seismic reliability analysis remains a significant challenge.To address this issue,the current study introduces a sample-unequal weight fractional moment assessment method,which is based on an improved correlation-reduced Latin hypercube sampling(ICLHS)technique.This method integrates the benefits of important sampling techniques with interpolator quadrature formulas to enhance the accuracy of estimating the extreme value distribution(EVD)for the seismic response of complex nonlinear structures subjected to non-stationary ground motions.Additionally,the core theoretical approaches employed in seismic reliability analysis(SRA)are elaborated,such as dimension reduction for simulating non-stationary random ground motions and a fractional-maximum entropy single-loop solution strategy.The effectiveness of this proposed method is validated through a three-story nonlinear shear frame structure.Furthermore,a comprehensive reliability analysis of a real-world long-span,single-pylon suspension bridge is conducted using the developed theoretical framework within the OpenSees platform,leading to key insights and conclusions.展开更多
Chile,a pioneer and benchmark partner for China's free trade.cooperation in Latin America,holds a special position in China-Latin America economic and trade relations.It was the first Latin American country to sig...Chile,a pioneer and benchmark partner for China's free trade.cooperation in Latin America,holds a special position in China-Latin America economic and trade relations.It was the first Latin American country to sign a bilateral free trade agreement with China and the first to reach an upgraded protocol.Chile also established mutual recognition of Authorized Economic Operators(AEO)with China,the first country in South America to do so.展开更多
Conventional soil maps(CSMs)often have multiple soil types within a single polygon,which hinders the ability of machine learning to accurately predict soils.Soil disaggregation approaches are commonly used to improve ...Conventional soil maps(CSMs)often have multiple soil types within a single polygon,which hinders the ability of machine learning to accurately predict soils.Soil disaggregation approaches are commonly used to improve the spatial and attribute precision of CSMs.The approach disaggregation and harmonization of soil map units through resampled classification trees(DSMART)is popular but computationally intensive,as it generates and assigns synthetic samples to soil series based on the areal coverage information of CSMs.Alternatively,the disaggregation approach pure polygon disaggregation(PPD)assigns soil series based solely on the proportions of soil series in pure polygons in CSMs.This study compared these two disaggregation approaches by applying them to a CSM of Middlesex County,Ontario,Canada.Four different sampling methods were used:two sampling designs,simple random sampling(SRS)and conditional Latin hypercube sampling(cLHS),with two sample sizes(83100 and 19420 samples per sampling plan),both based on an area-weighted approach.Two machine learning algorithms(MLAs),C5.0 decision tree(C5.0)and random forest(RF),were applied to the disaggregation approaches to compare the disaggregation accuracy.The accuracy assessment utilized a set of 500 validation points obtained from the Middlesex County soil survey report.The MLA C5.0(Kappa index=0.58–0.63)showed better performance than RF(Kappa index=0.53–0.54)based on the larger sample size,and PPD with C5.0 based on the larger sample size was the best-performing(Kappa index=0.63)approach.Based on the smaller sample size,both cLHS(Kappa index=0.41–0.48)and SRS(Kappa index=0.40–0.47)produced similar accuracy results.The disaggregation approach PPD exhibited lower processing capacity and time demands(1.62–5.93 h)while yielding maps with lower uncertainty as compared to DSMART(2.75–194.2 h).For CSMs predominantly composed of pure polygons,utilizing PPD for soil series disaggregation is a more efficient and rational choice.However,DSMART is the preferable approach for disaggregating soil series that lack pure polygon representations in the CSMs.展开更多
文摘The increasing prevalence of technology in society has an impact on young people’s language use and development. Greeklish is the writing of Greek texts using the Latin instead of the Greek alphabet, a practice known as Latinization, also employed for many non-latin alphabet languages. The primary aim of this research is to evaluate the effect of Greeklish on reading time. A sample of 732 young Greeks were asked about their habits when communicating through e-mail and social media with their friends and they then participated in an experiment in which they were asked to read and understand two short texts, one written in Greek and the other in Greeklish. The findings of the research show that nearly one third of the participants use Greeklish. The results of the experiment conducted reveal that understanding is not affected by the alphabet used but reading Greeklish is significantly more time consuming than reading Greek independently of the sex and the familiarity of the participants with Greeklish. The findings suggest that amending social and communication media with software utilities related to Latinization such as language identifiers and converters may reduce reading time and thus facilitate written communication among the users.
基金supported by the National Natural Science Foundation of China[grant numbers 12071329,12471246].
文摘In mixture experiments,the observed response is determined by the relative proportions of the components,consequently rendering the experimental region a simplex.This paper focuses primarily on the optimal designs of mixture experiments that involve process variables.Prior research has extensively delved into optimal orthogonal block designs for some classic mixture models with process variables.Based on the framework of general blending models,this paper proposes a class of symmetric linear mixture models,which can be regarded as a generalization of many existing ones.Under the orthogonal blocking conditions,orthogonal block designs are devised through Latin squares in the presence of process variables.TheD-,A-,and E-optimality criteria are utilized to obtain optimal designs at the boundary of the simplex in the case of 3 components.As the values of the exponents change,numerically derived optimal design points are presented to illustrate the pattern of their variations,and to verify the consistency of the results with previous research on some specific symmetric general blending models.
基金supported by the Ministry of Science and Innovation and the Spanish Research Agency through FEDER funds (PID2021-1261520B-100) (MICINN/AEI/FEDER, EU)CBM receives an institutional grant from the Fundación Ramón Areces, Spain。
文摘The word “senescence” comes from the Latin senescens, meaning “to begin to age”, and is characterized by a long-lasting but reversible block in proliferation, resulting from stress-induced cell cycle arrest of previously replication-competent cells.
基金co-supported by the National Natural Science Foundation of China(Nos.51875014,U2233212 and 51875015)the Natural Science Foundation of Beijing Municipality,China(No.L221008)+1 种基金Science,Technology Innovation 2025 Major Project of Ningbo of China(No.2022Z005)the Tianmushan Laboratory Project,China(No.TK2023-B-001)。
文摘For uncertainty quantification of complex models with high-dimensional,nonlinear,multi-component coupling like digital twins,traditional statistical sampling methods,such as random sampling and Latin hypercube sampling,require a large number of samples,which entails huge computational costs.Therefore,how to construct a small-size sample space has been a hot issue of interest for researchers.To this end,this paper proposes a sequential search-based Latin hypercube sampling scheme to generate efficient and accurate samples for uncertainty quantification.First,the sampling range of the samples is formed by carving the polymorphic uncertainty based on theoretical analysis.Then,the optimal Latin hypercube design is selected using the Latin hypercube sampling method combined with the"space filling"criterion.Finally,the sample selection function is established,and the next most informative sample is optimally selected to obtain the sequential test sample.Compared with the classical sampling method,the generated samples can retain more information on the basis of sparsity.A series of numerical experiments are conducted to demonstrate the superiority of the proposed sequential search-based Latin hypercube sampling scheme,which is a way to provide reliable uncertainty quantification results with small sample sizes.
基金“Cyborg Narratives and the Construction of 21^(st)Century Science Fiction Poetics”(22BZW175)sponsored by the National Social Science Fund of China。
文摘Joanna Page is Director of CRASSH and Professor of Latin American Studies at the University of Cambridge.Her research interests are generally connected to the relationship between science and culture in Latin America.She has also worked on questions of memory,modernity,capitalism,posthumanism,new materialism,decoloniality,ecology,and environmental thought.This interview covers three main aspects:the characteristics of science fiction texts in Latin America,the interdisciplinary research models at the intersection of science,literature,and art,and Latin America as a field of regional studies.Professor Page starts with Argentine science fiction novels and expands the discussion to include graphic novels in Latin America,outlining the panorama of science fiction and its indigenous features.The conversation delves into the literary and technological relationships within Latin American science fiction texts.Building upon this foundation,this interview explores the interdisciplinary research paradigms concerning the relationship between science and culture,aiming to contribute to regional studies by exploring new pathways for interdisciplinary,cross-regional,and trans-media research.
文摘On May 17,2017,President Xi Jinping met with Argentine President Mauricio Macri at the Great Hall of the People in Beijing,where they were attending the Belt and Road Forum for International Cooperation.Xi stated that,as Latin America is a natural extension of the 21st Century Maritime Silk Road,China is willing to strengthen cooperation with Latin America,align development strategies within the framework of the Belt and Road Initiative(BRI),promote common development,and build a China-Latin America community with a shared future.
文摘Latin America and the Caribbean(hereinafter referred to as“LAC”)is an important part of the Global South.It is the region where developing countries that achieved independence the earliest and initiated their modernization process the earliest are located.LAC modernization has a history of over 150 years.In this process,it has been profoundly influenced by Western theories such as classical liberalism and neoliberalism.
文摘With a long-standing tradition in the development of critical theories, Latin America seeks, through a myriad of perspectives, to understand its peripheral position within the mechanisms of the world system. This paper aims to examine the role of race and gender in sustaining the capitalist world system through the lens of decolonial studies. It considers how both categories were historically constructed during the colonial process as tools to legitimize social, economic, and political hierarchies between the dominant and the dominated. In particular, the division of labor, based on racial and gendered distinctions, was instrumental in shaping these power relations. By analyzing these categories as central elements in the formation and maintenance of the capitalist world system, the study highlights their continued influence in perpetuating inequalities today.
文摘On June 20,the 7th China-Latin America and Caribbean Think Tank Forum was held in Beijing.The forum carried the theme“Working Together to Build a China-LAC Community with a Shared Future.”Assistant Foreign Minister Miao Deyu attended the opening ceremony and delivered remarks.Leonel Caraballo Maqueira,Vice President of the Cuban Diplomatic Academy,and Martin Charles,Ambassador of Dominica to China and Representative of the Latin American and Caribbean Diplomatic Corps in China,attended the meeting and delivered speeches.
文摘On the morning of October 15,people from different countries will queue up at the entrance of Centro Banamex,the international convention and exhibition center in Mexico.There are local dealers present,Brazilian builders identifiable by their yellow-green,fluorescent vests,Canadian buyers carrying computer bags,and a group of Chinese individuals with aluminum alloy suitcases labeled“Foshan Ceramics”,“Yongkang Hardware”,and“Anji Bamboo Floor”.
文摘Neuroscience (also known as neurobiology) is a science that studies the structure, function, development, pharmacology and pathology of the nervous system. In recent years, C. Cotardo has introduced coding theory into neuroscience, proposing the concept of combinatorial neural codes. And it was further studied in depth using algebraic methods by C. Curto. In this paper, we construct a class of combinatorial neural codes with special properties based on classical combinatorial structures such as orthogonal Latin rectangle, disjoint Steiner systems, groupable designs and transversal designs. These neural codes have significant weight distribution properties and large minimum distances, and are thus valuable for potential applications in information representation and neuroscience. This study provides new ideas for the construction method and property analysis of combinatorial neural codes, and enriches the study of algebraic coding theory.
文摘Genomic medicine has evolved significantly,merging centuries of scientific progress with modern molecular biology and clinical care.It utilizes knowledge of the human genome to enhance disease prevention,diagnosis,treatment,and potential reversal.Genomic medicine in hepatology is particularly promising due to the crucial role of the liver in several metabolic processes and its association with diseases such as metabolic dysfunction-associated steatotic liver disease,type 2 diabetes mellitus,liver cirrhosis,and cardiovascular conditions.The mid-20th century witnessed a paradigm shift in medicine,marked by the emergence of molecular biology,which enabled a deeper understanding of gene expression and regulation.This connection between basic science and clinical practice has enhanced our knowledge of the role of gene-environment interactions in the onset and progression of liver diseases.In Latin America,including Mexico,with its genetically diverse and admixed populations,genomic medicine provides a foundation for personalized and culturally relevant health strategies.This review highlights the need for genomic medicine,examining its historical evolution,integration into hepatology in Mexico,and its potential applications in the prevention of chronic diseases.It emphasizes the importance of training in genomic literacy and interdisciplinary education in medical training,particularly in the field of hepatology,with a focus on genomic medicine expertise.
基金funded by the National Natural Science Foundation of China(42174011).
文摘With the continuous improvement of the accuracy of geodetic deformation data,the inversion of seismic source parameters puts forward a higher demand for nonlinear inversion algorithms.In this research,an improved Sparrow Search Algorithm(SSA)is proposed for the seismic source parameter inversion problem.By replacing the original population generation in the improved algorithm with Latin hypercubic sampling,the Sparrow Search Algorithm reduces the repetition of samples in the population initialization.Subsequently,the algorithm introduces adaptive weights in the discoverer generation phase of the sparrow algorithm and combines the Levy flight strategy to make the algorithm more comprehensive and improve the search accuracy during the whole iteration process.Therefore,the improved Latin hypercube-based sparrow search algorithm(ILHSSA)has better advantages in terms of iterative convergence speed and stability.In order to verify the performance of ILHSSA,the basic genetic algorithm(GA)and sparrow search algorithm(SSA)are examined and compared with ILHSSA by simulated earthquakes of two different earthquake types.The simulation experiments show that the improved algorithm ILHSSA outperforms SSA in accuracy and stability.Compared with the GA algorithm,ILHSSA can achieve the same inversion accuracy as GA,and it even surpasses GA in inversion speed and the inversion results of some parameters,demonstrating better stability.Finally,the improved algorithm is used for the 2017 Bodrum-Cos earthquake and the 2016 Amatrice earthquake in Italy.The inversion results all reflect the practicality and reliability of the improved algorithm.
基金supported by the National Natural Science Foundation of China(Grant Nos.62376089,62302153,62302154)the Key Research and Development Program of Hubei Province,China(Grant No.2023BEB024)+1 种基金the Young and Middle-Aged Scientific and Technological Innovation Team Plan in Higher Education Institutions in Hubei Province,China(Grant No.T2023007)the National Natural Science Foundation of China(Grant No.U23A20318).
文摘The Multilayer Perceptron(MLP)is a fundamental neural network model widely applied in various domains,particularly for lightweight image classification,speech recognition,and natural language processing tasks.Despite its widespread success,training MLPs often encounter significant challenges,including susceptibility to local optima,slow convergence rates,and high sensitivity to initial weight configurations.To address these issues,this paper proposes a Latin Hypercube Opposition-based Elite Variation Artificial Protozoa Optimizer(LOEV-APO),which enhances both global exploration and local exploitation simultaneously.LOEV-APO introduces a hybrid initialization strategy that combines Latin Hypercube Sampling(LHS)with Opposition-Based Learning(OBL),thus improving the diversity and coverage of the initial population.Moreover,an Elite Protozoa Variation Strategy(EPVS)is incorporated,which applies differential mutation operations to elite candidates,accelerating convergence and strengthening local search capabilities around high-quality solutions.Extensive experiments are conducted on six classification tasks and four function approximation tasks,covering a wide range of problem complexities and demonstrating superior generalization performance.The results demonstrate that LOEV-APO consistently outperforms nine state-of-the-art metaheuristic algorithms and two gradient-based methods in terms of convergence speed,solution accuracy,and robustness.These findings suggest that LOEV-APO serves as a promising optimization tool for MLP training and provides a viable alternative to traditional gradient-based methods.
基金supported by the Youth Project of the National Social Science Fund of China(No.23GJC01107).
文摘Green transition fosters a harmonious balance between economic growth and ecological preservation.It drives innovation and the development of sustainable technologies and practices,which in turn create new economic opportunities.In recent years,faced with severe development pressures caused by climate change and environmental issues,Latin American countries have stepped up efforts to implement green transition plans and achieved certain progress in sectors such as renewable energy,eco-friendly manufacturing,and green infrastructure.Notably,Latin America's green economy transition approach coincides with China's drive to accelerate green transition in all areas of economic and social development.Closer“green cooperation”with China will significantly boost Latin America's transition towards a green economy.
文摘Growing climate change concerns have intensified the focus on agribusiness sustainability,driving an urgent energy transition to improve production efficiency and mitigate environmental harm.The complex interplay between energy efficiency and energy consumption highlights the essential role of strategic energy policies in ensuring sustainable development.This study used the Double-Log regression model with bootstrap resampling to examine the rebound effect in the energy transition of agribusiness focusing on five Latin American countries including Brazil,Argentina,Uruguay,Colombia,and Mexico based on the agricultural sector data during 2010–2022.The findings revealed that the rebound effect significantly influences energy transition,with varying degrees of impact across agricultural sectors.This study identified partial rebound effect across all five countries,with elasticity coefficient varying from 9.63%(Colombia’s coffee sector)to 89.12%(Brazil’s livestock sector).In Brazil’s sugarcane sector,nonrenewable energy,agricultural employment,and irrigation efficiency were identified as key factors influencing energy consumption,while in livestock sector,energy consumption was affected by CH_(4)emissions,income and well-being of farmers,water consumption,and water conservation practices.In Mexico’s livestock sector,CH_(4)emissions,nonrenewable energy,and water conservation practices were the key factors affecting energy consumption.In Argentina’s sugarcane sector,pesticides,NO_(2)emissions,renewable energy,and agricultural employment were the key factors affecting energy consumption,while renewable energy,income and well-being of farmers,and water consumption were the key factors affecting energy consumption in livestock sector.In Uruguay’s livestock sector,non-renewable energy,income and well-being of farmers,and irrigation efficiency were the key factors affecting energy consumption.In Colombia’coffee sector,NO_(2)emissions and irrigation efficiency were identified as key factors influencing energy consumption.Finally,this study reinforces the importance of aligning energy transition with Sustainable Development Goals(SDGs),ensuring that energy efficiency gains do not inadvertently increase energy consumption or environmental degradation.
文摘Today,more than 90%of children who are born with congenital heart disease survive and reach adulthood,especially in developed countries.Consequently,the population of adults with congenital heart disease has increased signiffcantly over the last few decades.In Latin America and the Caribbean countries,this same scenario is occurring at an accelerated pace.Loss to follow-up is a global problem in adults with congenital heart disease,ranging from 30–60%.In Latin America and Caribbean countries,it is estimated that less than 10%of adults with congenital heart disease are being followed.The small number of specialists and adult congenital heart disease specialized centers,as well as virtually nonexistent transition and transfer programs,are some of the reasons for this.This article is a narrative review of the current status of the transition and transfer of young adults with congenital heart disease,with a special focus on Latin America and Caribbean countries.It describes the general concepts of transition and transfer,analyzes barriers and,ffnally,presents specialized care alternatives that would reduce losses and improve this population’s care.
基金Sichuan Science and Technology Program under Grant No.2024NSFSC0932the National Natural Science Foundation of China under Grant No.52008047。
文摘Probabilistic assessment of seismic performance(SPPA)is a crucial aspect of evaluating the seismic behavior of structures.For complex bridges with inherent uncertainties,conducting precise and efficient seismic reliability analysis remains a significant challenge.To address this issue,the current study introduces a sample-unequal weight fractional moment assessment method,which is based on an improved correlation-reduced Latin hypercube sampling(ICLHS)technique.This method integrates the benefits of important sampling techniques with interpolator quadrature formulas to enhance the accuracy of estimating the extreme value distribution(EVD)for the seismic response of complex nonlinear structures subjected to non-stationary ground motions.Additionally,the core theoretical approaches employed in seismic reliability analysis(SRA)are elaborated,such as dimension reduction for simulating non-stationary random ground motions and a fractional-maximum entropy single-loop solution strategy.The effectiveness of this proposed method is validated through a three-story nonlinear shear frame structure.Furthermore,a comprehensive reliability analysis of a real-world long-span,single-pylon suspension bridge is conducted using the developed theoretical framework within the OpenSees platform,leading to key insights and conclusions.
文摘Chile,a pioneer and benchmark partner for China's free trade.cooperation in Latin America,holds a special position in China-Latin America economic and trade relations.It was the first Latin American country to sign a bilateral free trade agreement with China and the first to reach an upgraded protocol.Chile also established mutual recognition of Authorized Economic Operators(AEO)with China,the first country in South America to do so.
基金the Ontario Ministry of Agriculture,Food and Rural Affairs,Canada,who supported this project by providing updated soil information on Ontario and Middlesex Countysupported by the Natural Science and Engineering Research Council of Canada(No.RGPIN-2014-4100)。
文摘Conventional soil maps(CSMs)often have multiple soil types within a single polygon,which hinders the ability of machine learning to accurately predict soils.Soil disaggregation approaches are commonly used to improve the spatial and attribute precision of CSMs.The approach disaggregation and harmonization of soil map units through resampled classification trees(DSMART)is popular but computationally intensive,as it generates and assigns synthetic samples to soil series based on the areal coverage information of CSMs.Alternatively,the disaggregation approach pure polygon disaggregation(PPD)assigns soil series based solely on the proportions of soil series in pure polygons in CSMs.This study compared these two disaggregation approaches by applying them to a CSM of Middlesex County,Ontario,Canada.Four different sampling methods were used:two sampling designs,simple random sampling(SRS)and conditional Latin hypercube sampling(cLHS),with two sample sizes(83100 and 19420 samples per sampling plan),both based on an area-weighted approach.Two machine learning algorithms(MLAs),C5.0 decision tree(C5.0)and random forest(RF),were applied to the disaggregation approaches to compare the disaggregation accuracy.The accuracy assessment utilized a set of 500 validation points obtained from the Middlesex County soil survey report.The MLA C5.0(Kappa index=0.58–0.63)showed better performance than RF(Kappa index=0.53–0.54)based on the larger sample size,and PPD with C5.0 based on the larger sample size was the best-performing(Kappa index=0.63)approach.Based on the smaller sample size,both cLHS(Kappa index=0.41–0.48)and SRS(Kappa index=0.40–0.47)produced similar accuracy results.The disaggregation approach PPD exhibited lower processing capacity and time demands(1.62–5.93 h)while yielding maps with lower uncertainty as compared to DSMART(2.75–194.2 h).For CSMs predominantly composed of pure polygons,utilizing PPD for soil series disaggregation is a more efficient and rational choice.However,DSMART is the preferable approach for disaggregating soil series that lack pure polygon representations in the CSMs.
