This study explores the cultural,social,and academic adaptation experiences of international students in Wenzhou,China.Based on surveys and interviews with 52 students from 20 countries—predominantly Morocco—the res...This study explores the cultural,social,and academic adaptation experiences of international students in Wenzhou,China.Based on surveys and interviews with 52 students from 20 countries—predominantly Morocco—the research investigates key challenges and coping strategies related to local integration.The findings indicate that while Wenzhou offers a generally supportive academic environment—enhanced by AI integration and practical teaching methods—language barriers continue to hinder students’daily life,academic engagement,and social interactions.Limited Mandarin proficiency made it difficult for many students to build friendships with locals and navigate everyday tasks.Cultural adaptation also presented obstacles,particularly in adjusting to local food and social norms.Despite these challenges,students employed various strategies to facilitate integration,such as attending HSK language courses,watching Chinese media,and initiating conversations with local peers.While most participants described the local community as welcoming,perceptions varied based on individual experiences and language ability.The study highlights the importance of enhanced language support and structured cross-cultural exchange initiatives in improving international students’experiences.It contributes to the broader discourse on international student mobility by offering insights from a second-tier Chinese city,emphasizing the role of institutional practices in shaping adaptation outcomes.展开更多
Understanding the ecological adaptation of tree species can not only reveal the evolutionary potential but also benefit biodiversity conservation under global climate change.Quercus is a keystone genus in Northern Hem...Understanding the ecological adaptation of tree species can not only reveal the evolutionary potential but also benefit biodiversity conservation under global climate change.Quercus is a keystone genus in Northern Hemisphere forests,and its wide distribution in diverse ecosystems and long evolutionary history make it an ideal model for studying the genomic basis of ecological adaptations.Here we used a newly sequenced genome of Quercus gilva,an evergreen oak species from East Asia,with 18 published Fagales genomes to determine how Fagaceae genomes have evolved,identify genomic footprints of ecological adaptability in oaks in general,as well as between evergreen and deciduous oaks.We found that oak species exhibited a higher degree of genomic conservation and stability,as indicated by the absence of large-scale chromosomal structural variations or additional whole-genome duplication events.In addition,we identified expansion and tandem repetitions within gene families that contribute to plant physical and chemical defense(e.g.,cuticle biosynthesis and oxidosqualene cyclase genes),which may represent the foundation for the ecological adaptation of oak species.Circadian rhythm and hormone-related genes may regulate the habits of evergreen and deciduous oaks.This study provides a comprehensive perspective on the ecological adaptations of tree species based on phylogenetic,genome evolutionary,and functional genomic analyses.展开更多
This paper examines the complex trajectory of Chinese medicine’s scientification(科学化)during the late Qing and Republican periods(1850–1949),analyzing how traditional medical knowledge adapted to and negotiated wi...This paper examines the complex trajectory of Chinese medicine’s scientification(科学化)during the late Qing and Republican periods(1850–1949),analyzing how traditional medical knowledge adapted to and negotiated with Western scientific paradigms.Through examination of institutional responses,knowledge transfer networks,and evolving research methodologies,this work demonstrates that the development of scientific Chinese medicine represented a sophisticated process of cultural adaptation rather than simple Westernization.The research identifies three distinct phases—early debates and responses,Japanese influence and knowledge transfers,and research methodologies and institutional development.The 1929 controversy over Yu Yunxiu’s(余云岫)proposal to abolish traditional medicine marked a crucial turning point,catalyzing systematic modernization efforts within the traditional medical community.Japanese influence proved particularly significant through the development of scientific Kampo medicine and the establishment of research networks at institutions.Drawing on Pierre Bourdieu’s concept of scientific fields and Bruno Latour’s actor-network theory,the analysis reveals how different actors negotiated the transformation of traditional medical knowledge within changing social and political contexts.The study demonstrates that Japanese approaches to medical modernization,particularly in pharmacognosy research,provided an alternative model to Western biochemical analysis,emphasizing the preservation of traditional compound formulations while adopting modern scientific methods of converting Chinese medicine to modern.This study contributes to our understanding of medical modernization in East Asia by revealing the sophisticated ways in which traditional knowledge systems adapted to modern scientific requirements while maintaining their essential characteristics.展开更多
The paleoenvironmental changes and adaptation strategies of hominins during the Late Pleistocene are crucial for understanding the evolution,dispersal,and behavioral shifts of early modern humans.Despite South China&#...The paleoenvironmental changes and adaptation strategies of hominins during the Late Pleistocene are crucial for understanding the evolution,dispersal,and behavioral shifts of early modern humans.Despite South China's significance as a nexus for hominin dispersal and handaxe technology diffusion,quantitative reconstructions of paleoenvironments linked to archaeological records remain scarce.The Sandinggai site(96.6-13.3 ka BP)in central South China,with its well-preserved stratigraphy and abundant lithic artefacts,is notable for providing valuable insights.In this study,quantitative reconstruction of the vegetation succession and climate change sequences at the site was conducted using palynological and isotopic data.The results indicated a shift from a warm-temperate evergreen and deciduous broadleaf mixed forest to a temperate deciduous broadleaf forest,with the climate transitioning from warm and humid to cooler and drier conditions.During the early phase,an increase in lithic production suggested favorable conditions for hominin survival.In the later phase,decreased lithic production and the replacement of large handaxe tools by smaller flake tools,indicated that hominins adapted to the cooler,drier climate and more open landscapes through lithic miniaturization.These findings highlight the environment-driven adaptation of lithic technology and hominin behavior,thereby shedding light on human survival adaptation strategies.展开更多
Introduction Tibetan sheep,economically important animals on the Qinghai–Tibet Plateau,have diversified into numerous local breeds with unique characteristics through prolonged environmental adaptation and selective ...Introduction Tibetan sheep,economically important animals on the Qinghai–Tibet Plateau,have diversified into numerous local breeds with unique characteristics through prolonged environmental adaptation and selective breeding.However,most current research focuses on one or two breeds,and lacks a comprehensive representa-tion of the genetic diversity across multiple Tibetan sheep breeds.This study aims to fill this gap by investigating the genetic structure,diversity and high-altitude adaptation of 6 Tibetan sheep breeds using whole-genome rese-quencing data.Results Six Tibetan sheep breeds were investigated in this study,and whole-genome resequencing data were used to investigate their genetic structure and population diversity.The results showed that the 6 Tibetan sheep breeds exhibited distinct separation in the phylogenetic tree;however,the levels of differentiation among the breeds were minimal,with extensive gene flow observed.Population structure analysis broadly categorized the 6 breeds into 3 distinct ecological types:plateau-type,valley-type and Euler-type.Analysis of unique single-nucleotide polymor-phisms(SNPs)and selective sweeps between Argali and Tibetan sheep revealed that Tibetan sheep domestication was associated primarily with sensory and signal transduction,nutrient absorption and metabolism,and growth and reproductive characteristics.Finally,comprehensive analysis of selective sweep and transcriptome data sug-gested that Tibetan sheep breeds inhabiting different altitudes on the Qinghai–Tibet Plateau adapt by enhancing cardiopulmonary function,regulating body fluid balance through renal reabsorption,and modifying nutrient diges-tion and absorption pathways.Conclusion In this study,we investigated the genetic diversity and population structure of 6 Tibetan sheep breeds in Qinghai Province,China.Additionally,we analyzed the domestication traits and investigated the unique adapta-tion mechanisms residing varying altitudes in the plateau region of Tibetan sheep.This study provides valuable insights into the evolutionary processes of Tibetan sheep in extreme environments.These findings will also contribute to the preservation of genetic diversity and offer a foundation for Tibetan sheep diversity preservation and plateau animal environmental adaptation mechanisms.展开更多
As climate change triggers unprecedented ecological shifts,it becomes imperative to understand the genetic underpinnings of species’adaptability.Adaptive introgression significantly contributes to organismal adaptati...As climate change triggers unprecedented ecological shifts,it becomes imperative to understand the genetic underpinnings of species’adaptability.Adaptive introgression significantly contributes to organismal adaptation to new environments by introducing genetic variation across species boundaries.However,despite growing recognition of its importance,the extent to which adaptive introgression has shaped the evolutionary history of closely related species remains poorly understood.Here we employed population genetic analyses of high-throughput sequencing data to investigate the interplay between genetic introgression and local adaptation in three species of spruce trees in the genus Picea(P.asperata,P.crassifolia,and P.meyeri).We find distinct genetic differentiation among these species,despite a substantial gene flow.Crucially,we find bidirectional adaptive introgression between allopatrically distributed species pairs and unearthed dozens of genes linked to stress resilience and flowering time.These candidate genes most likely have promoted adaptability of these spruces to historical environmental changes and may enhance their survival and resilience to future climate changes.Our findings highlight that adaptive introgression could be prevalent and bidirectional in a topographically complex area,and this could have contributed to rich genetic variation and diverse habitat usage by tree species.展开更多
Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has bec...Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has become a mainstream solution but losing focus on the inter-sample class information.This paper proposes a new Credible Local Context Representation approach for SFDA.Our main idea is to exploit the credible local context for more discriminative representation.Specifically,we enhance the source model's discrimination by information regulating.To capture the context,a discovery method is developed that performs fixed steps walking in deep space and takes the credible features in this path as the context.In the epoch-wise adaptation,deep clustering-like training is conducted with two major updates.First,the context for all target data is constructed and then the context-fused pseudo-labels providing semantic guidance are generated.Second,for each target data,a weighting fusion on its context forms the anchored neighbourhood structure;thus,the deep clustering is switched from individual-based to coarse-grained.Also,a new regularisation building is developed on the anchored neighbourhood to drive the deep coarse-grained learning.Experiments on three benchmarks indicate that the proposed method can achieve stateof-the-art results.展开更多
The environment has an important impact on maize(Zea mays L.)production,making it necessary to identify plant adaptation regions that are suitable for different maize varieties.Traditional methods using field trials a...The environment has an important impact on maize(Zea mays L.)production,making it necessary to identify plant adaptation regions that are suitable for different maize varieties.Traditional methods using field trials are costly and restricted to a limited number of areas.Identifying adaptation regions based on climate data has great potential,but a basic understanding and a prediction approach for diverse maize varieties are lacking.Here,we collected a representative dataset comprising 32,840 data points from the National Maize Variety Trial Data Management Platform.We employed three traits to characterize the adaptability of different maize varieties:PH(plant height),DTS(days to silking),and yield.First,we quantified the contributions of variety(V),environment(E),and V×E to variance in the three adaptationrelated traits.The mean contributions of E to variance in PH,DTS,and yield were 54.50%,82.87%,and 75.92%,respectively,suggesting that environmental effects are crucial for phenotype construction.Second,we analyzed correlations between the three traits and three environmental indices:GDD(growing degree days),PRE(precipitation),and SSD(sunshine duration).The highest absolute correlation coefficients between phenotypes and environmental indices were 0.15–0.69 at the whole-data level.To predict variety adaptation on a national scale,we modeled the three traits using environmental indices and best linear unbiased predictors(BLUPs)via the random forest algorithm.The predictive abilities of our models for PH,DTS,and yield were 0.90(MAE=9.95 cm),0.99(MAE=1.09 d),and 0.95(MAE=0.55 t ha^(−1)),respectively,indicating that our proposed framework can predict adaptationrelated traits for diverse maize varieties in China.展开更多
Local adaptation is critical for plant survivals and reproductions in the context of global environmental change.Heterogeneous environments impose various selection pressures that influence the fitness of organisms an...Local adaptation is critical for plant survivals and reproductions in the context of global environmental change.Heterogeneous environments impose various selection pressures that influence the fitness of organisms and leave genomic signatures during the process of adaptation to local environments.However,unveiling the genomic signatures of adaptation still poses a major challenge especially for perennials due to limited genomic resources.Here,we utilized Actinidia eriantha,a Chinese endemic liana,as a model case to detect drivers of local adaptation and adaptive signals through landscape genomics for 311 individuals collected from 25 populations.Our results demonstrated precipitation and solar radiation were two crucial factors influencing the patterns of genetic variations and driving adaptive processes.We further uncovered a set of genes involved in adaptation to heterogeneous environments.Among them,AeERF110 showed high genetic differentiation between populations and was confirmed to be involved in local adaptation via changes in allele frequency along with precipitation(Prec_03)and solar radiation(Srad_03)in native habitats separately,implying that adaptive loci frequently exhibited environmental and geographic signals.In addition,we assessed genetic offsets of populations under four future climate models and revealed that populations from middle and east clusters faced higher risks in adapting to future environments,which should address more attentions.Taken together,our study opens new perspectives for understanding the genetic underpinnings of local adaptation in plants to environmental changes in a more comprehensive fashion and offered the guides on applications in conservation efforts.展开更多
BACKGROUND In pediatric and adolescent athletes,there is a lack of understanding about the impact of factors such as race on the structural or cardiovascular adaptations in response to exercise which may unnecessarily...BACKGROUND In pediatric and adolescent athletes,there is a lack of understanding about the impact of factors such as race on the structural or cardiovascular adaptations in response to exercise which may unnecessarily disqualify athletes from the competitive sport.We hypothesized that race has an impact on cardiac adaptions in non-adult athletes.AIM To explore the racial disparity in electrocardiographic(ECG)and echocardiographic(ECHO)parameters in healthy adolescent athletes.METHODS A comprehensive electronic systematic literature search using MEDLINE database was performed from inception to September 20,2024.Inclusion criteria included randomized or observational cohort studies that recruited adolescent competitive athletes in any sport discipline and compared between the Black and White races with an age range of 12-18 years.RESULTS Of 723 records that were identified by the literature search,seven studies(n=5036)were included.The mean age was 13.0-18.0 years old with male predominance.Black athletes had significantly longer PR interval[mean difference(MD)=17.49 millisecond,95% CI:11.70-23.29]and shorter QRS complex duration(MD=-7.35 millisecond,95% CI:-9.17 to-5.53)and corrected QT interval(MD=-4.95 millisecond,95% CI:-7.69 to-2.22)than the White athletes.Black athletes were approximately four times more likely to have first-degree atrioventricular(AV)block,inverted T wave,ST-segment elevation,and left atrium(LA)enlargement than their White counterparts.In terms of ECHO parameters,Black athletes had significantly greater septal wall thickness(MD=0.85 mm,95% CI:0.62-1.07),posterior wall thickness(MD=1.07 mm,95% CI:0.36-1.78),relative wall thickness(MD=0.03,95%CI:0.001-0.06),maximal wall thickness(MD=1.05 mm,95%CI:0.28-1.83),and LA diameter(MD=1.64 mm,95%CI:0.16-3.12).CONCLUSION Race has an impact on the ECG and ECHO parameters that reflect cardiac adaptations in adolescent athletes.Black athletes tend to have an increased prevalence of distinct ECG changes such as first-degree AV block and T-wave inversions compared with their White counterparts.Despite having thicker septal and posterior walls,the overall prevalence of left ventricular hypertrophy did not differ between the races.展开更多
Intraspecific genetic variance and gene flow can support the adaptive evolution of species challenged by climate shifts or novel environmental conditions.Less well understood is how genome organization and gene flow i...Intraspecific genetic variance and gene flow can support the adaptive evolution of species challenged by climate shifts or novel environmental conditions.Less well understood is how genome organization and gene flow interact in closely related species during evolutionary divergence and differentiation.Here we conducted genomic footprint analyses to determine how three species of Pterocarya(P.stenoptera,P.hupehensis,and P.macroptera),which are sympatric but occupy different elevational niches,adapted to the heterogeneous environment of the Qinling-Daba Mountains,China.We identified candidate genes for environmental adaptation(i.e.,PIEZO1,WRKY39,VDAC3,CBL1,and RAF),and also identified regions of gene introgression between P.hupehensis and P.macroptera that show lower genetic load and higher genetic diversity than the rest of their genomes.The same introgressed regions are notably situated in areas of minimal genetic divergence yet they are characterized by elevated recombination rates.We also identified candidate genes within these introgressed regions related to environmental adaptation(TPLC2,CYCH;1,LUH,bHLH112,GLX1,TLP-3,and ABC1).Our findings have thus clarified the important role of gene flow in ecological adaptation and revealed genomic signatures of past introgression.Together,these findings provide a stronger theoretical basis for understanding the ecological adaptation and conservation of Quaternary relict woody plants in East Asia.展开更多
Tropical coral islands represent one of the extremely stressful ecosystems,characterized by high salinity,seasonal drought,heat,strong ultraviolet radiation,and infertile soil,which constraint species occurrence,limit...Tropical coral islands represent one of the extremely stressful ecosystems,characterized by high salinity,seasonal drought,heat,strong ultraviolet radiation,and infertile soil,which constraint species occurrence,limit plant growth and development,and reduce species richness comparing to tropical continental islands with mesophytic habitats(Li et al.,2024;Ren et al.,2017;Tu et al.,2022,2024).Coupled with global climate changes,these adverse conditions have been being exacerbated,leading to extensive degradation of ecosystems throughout the tropical coral islands(Li et al.,2021).Native insular plant resources provide enormous potentials in island greening and ecological restoration,since they have colonized and become well adapted to the specialized habitat on tropical coral islands,evolving a series of functional traits and molecular strategies to accommodate the abiotic stresses.Thus,understanding the genomic make-up of these plants will help uncover molecular mechanisms underlying adaptation to tropical coral islands.However,contrary to the numerous genomic studies done for other extreme habitats,such as deserts(Hu et al.,2021;Ma et al.,2013),alpine regions(Zhang et al.,2023),intertidal habitats(Feng et al.,2021;Hu et al.,2020;Natarajan et al.,2021),and karst caves(Feng et al.,2020),molecular adaptation of plants on the tropical coral islands remains to be elucidated.展开更多
Situated in the semi-arid regions of North China,the Nihewan Basin documents the fluvio-lacustrine sequence and Pleistocene archaeological sites,offering an excellent opportunity to investigate human adaptation to env...Situated in the semi-arid regions of North China,the Nihewan Basin documents the fluvio-lacustrine sequence and Pleistocene archaeological sites,offering an excellent opportunity to investigate human adaptation to environmental change in East Asia,especially in North China.However,paleoenvironmental datasets from Middle Pleistocene archaeological sites are not fully understood.Focusing on the evidence from the 0.63-0.49 Ma-old site of Jijiazhuang(Nihewan Basin,North China),this paper presents the results of various environmental indicators from the site context.Moreover,it explores the links between hominin behavioral adaptations and ecological variability during the extra-long interglacial period in North China.Sedimentological features of the excavated section indicate that the site was formed in the margin of the Nihewan paleolake.Based on well-constructed pollen,sediment grain size,color reflectance,and major geochemical element analyses,five stages of environmental changes were identified during site formation.This study indicates that hominins occupied the site at the early part of Stage 2,when the Nihewan paleolake had a relatively low water level and the climate was temperate,with strong weathering intensity dominated by wooded grassland landscapes.In conclusion,the results suggest that the extra-long duration of interglacial or mild stadial climate events(MISs 15-13)in the Northern Hemisphere may have provided favorable conditions for increased technological innovations and adaptive strategies among Middle Pleistocene hominins in the Nihewan Basin even in North China.展开更多
Multi-scale problems in Computational Fluid Dynamics(CFD)often require numerous simulations across various design parameters.Using a fixed mesh for all cases may fail to capture critical physical features.Moving mesh ...Multi-scale problems in Computational Fluid Dynamics(CFD)often require numerous simulations across various design parameters.Using a fixed mesh for all cases may fail to capture critical physical features.Moving mesh adaptation provides an optimal resource allocation to obtain high-resolution flow-fields on low-resolution meshes.However,most existing methods require manual experience and the flow posteriori information poses great challenges to practical applications.In addition,generating adaptive meshes directly from design parameters is difficult due to highly nonlinear relationships.The diffusion model is currently the most popular model in generative tasks that integrates the diffusion principle into deep learning to capture the complex nonlinear correlations.A dual diffusion framework,Para2Mesh,is proposed to predict the adaptive meshes from design parameters by exploiting the robust data distribution learning ability of the diffusion model.Through iterative denoising,the proposed dual networks accurately reconstruct the flow-field to provide flow features as supervised information,and then achieve rapid and reliable mesh movement.Experiments in CFD scenarios demonstrate that Para2Mesh predicts similar meshes directly from design parameters with much higher efficiency than traditional method.It could become a real-time adaptation tool to assist engineering design and optimization,providing a promising solution for high-resolution flow-field analysis.展开更多
Tropical forests,critical for global carbon storage and biodiversity,are failing to adapt at the pace required by accelerating climate change.A comprehensive study by Aguirre-Gutiérrez et al.(Science 387:eadi5414...Tropical forests,critical for global carbon storage and biodiversity,are failing to adapt at the pace required by accelerating climate change.A comprehensive study by Aguirre-Gutiérrez et al.(Science 387:eadi5414,2025)analyzing four decades of data from 415 forest plots and 250,000 trees across the Americas reveals significant mismatches between functional trait shifts(e.g.,leaf area,wood density,photosynthetic capacity)and climatic pressures.Survivor trees tracked climatic changes at less than 8%of the necessary rate,while recruits achieved only 22%,leaving ecosystems increasingly vulnerable.Lowland forests exhibited stronger trait responses compared to nutrient-limited montane forests,but neither aligned with future climate projections.By 2100,projected temperature rises(~4℃)and precipitation declines(~20%)may push forests into“no-analog”climates,surpassing adaptive thresholds.These lags threaten carbon sequestration,biodiversity,and ecosystem stability,underscoring the urgent need for emissions reduction,conservation of climate refugia,and assisted migration strategies to mitigate irreversible biome transitions.展开更多
When mammals are exposed to cold,their metabolism undergoes substantial changes.The liver plays a central role in maintaining energy homeostasis by shifting from glucose metabolism to lipid catabolism.A recent study b...When mammals are exposed to cold,their metabolism undergoes substantial changes.The liver plays a central role in maintaining energy homeostasis by shifting from glucose metabolism to lipid catabolism.A recent study by Davidson et al.^([1]),published in Cell Metabolism,highlights a novel mechanism involving lysosomal lipid remodeling during cold adaptation.Specifically,the study reveals that cold exposure elevates hepatic levels of Bis(Monoacylglycerol)Phosphate(BMP)lipids,which are regulated by Transcription Factor EB(TFEB)and Phospholipase A2 group XV(PLA2G15).展开更多
The intertwined challenges of climate change, resource scarcity, and conflict require innovative integrated solutions that address both environmental and societal vulnerabilities. Technological innovation offers a tra...The intertwined challenges of climate change, resource scarcity, and conflict require innovative integrated solutions that address both environmental and societal vulnerabilities. Technological innovation offers a transformative pathway for climate change adaptation and peacebuilding, with emphasis on a holistic approach to managing resource conflicts and environmental challenges. This paper explores the synergies between emerging technologies and strategic framework to mitigate climate-induced tensions and foster resilience. It focuses on the application of renewable energy systems to reduce dependence on contested resources, blockchain technology to ensure transparency in climate finance, equitable resource allocation and Artificial Intelligence (AI) to enhance early warning systems for climate-related disaster and conflicts. Additionally, technologies such as precision agriculture and remote sensing empower communities to optimize resource use, adapt to shifting environmental conditions, and reduce competition over scares resources. These innovations with inclusive governance and local capacity-building are very primordial. Ultimately, the convergence of technology, policy, and local participation offers a scalable and replicable model for addressing the dual challenges of environmental degradation and instability, thereby paving the way for a more sustainable and peaceful future.展开更多
Artificial intelligence has potential for forecasting reactor conditions in the nuclear industry.Owing to economic and security concerns,a common method is to train data generated by simulators.However,achieving a sat...Artificial intelligence has potential for forecasting reactor conditions in the nuclear industry.Owing to economic and security concerns,a common method is to train data generated by simulators.However,achieving a satisfactory performance in practical applications is difficult because simulators imperfectly emulate reality.To bridge this gap,we propose a novel framework called simulation-to-reality domain adaptation(SRDA)for forecasting the operating parameters of nuclear reactors.The SRDA model employs a transformer-based feature extractor to capture dynamic characteristics and temporal dependencies.A parameter predictor with an improved logarithmic loss function is specifically designed to adapt to varying reactor powers.To fuse prior reactor knowledge from simulations with reality,the domain discriminator utilizes an adversarial strategy to ensure the learning of deep domain-invariant features,and the multiple kernel maximum mean discrepancy minimizes their discrepancies.Experiments on neutron fluxes and temperatures from a pressurized water reactor illustrate that the SRDA model surpasses various advanced methods in terms of predictive performance.This study is the first to use domain adaptation for real-world reactor prediction and presents a feasible solution for enhancing the transferability and generalizability of simulated data.展开更多
基金supported by Cultural and Ideological Progress Director Center of Ouhai District of Wenzhou(2024-135F).
文摘This study explores the cultural,social,and academic adaptation experiences of international students in Wenzhou,China.Based on surveys and interviews with 52 students from 20 countries—predominantly Morocco—the research investigates key challenges and coping strategies related to local integration.The findings indicate that while Wenzhou offers a generally supportive academic environment—enhanced by AI integration and practical teaching methods—language barriers continue to hinder students’daily life,academic engagement,and social interactions.Limited Mandarin proficiency made it difficult for many students to build friendships with locals and navigate everyday tasks.Cultural adaptation also presented obstacles,particularly in adjusting to local food and social norms.Despite these challenges,students employed various strategies to facilitate integration,such as attending HSK language courses,watching Chinese media,and initiating conversations with local peers.While most participants described the local community as welcoming,perceptions varied based on individual experiences and language ability.The study highlights the importance of enhanced language support and structured cross-cultural exchange initiatives in improving international students’experiences.It contributes to the broader discourse on international student mobility by offering insights from a second-tier Chinese city,emphasizing the role of institutional practices in shaping adaptation outcomes.
基金supported by the National Natural Science Foundation of China(No.31901217)the Special Fund for Scientific Research of Shanghai Landscaping and City Appearance Administrative Bureau(grant numbers G192422,G242414,and G242416).
文摘Understanding the ecological adaptation of tree species can not only reveal the evolutionary potential but also benefit biodiversity conservation under global climate change.Quercus is a keystone genus in Northern Hemisphere forests,and its wide distribution in diverse ecosystems and long evolutionary history make it an ideal model for studying the genomic basis of ecological adaptations.Here we used a newly sequenced genome of Quercus gilva,an evergreen oak species from East Asia,with 18 published Fagales genomes to determine how Fagaceae genomes have evolved,identify genomic footprints of ecological adaptability in oaks in general,as well as between evergreen and deciduous oaks.We found that oak species exhibited a higher degree of genomic conservation and stability,as indicated by the absence of large-scale chromosomal structural variations or additional whole-genome duplication events.In addition,we identified expansion and tandem repetitions within gene families that contribute to plant physical and chemical defense(e.g.,cuticle biosynthesis and oxidosqualene cyclase genes),which may represent the foundation for the ecological adaptation of oak species.Circadian rhythm and hormone-related genes may regulate the habits of evergreen and deciduous oaks.This study provides a comprehensive perspective on the ecological adaptations of tree species based on phylogenetic,genome evolutionary,and functional genomic analyses.
文摘This paper examines the complex trajectory of Chinese medicine’s scientification(科学化)during the late Qing and Republican periods(1850–1949),analyzing how traditional medical knowledge adapted to and negotiated with Western scientific paradigms.Through examination of institutional responses,knowledge transfer networks,and evolving research methodologies,this work demonstrates that the development of scientific Chinese medicine represented a sophisticated process of cultural adaptation rather than simple Westernization.The research identifies three distinct phases—early debates and responses,Japanese influence and knowledge transfers,and research methodologies and institutional development.The 1929 controversy over Yu Yunxiu’s(余云岫)proposal to abolish traditional medicine marked a crucial turning point,catalyzing systematic modernization efforts within the traditional medical community.Japanese influence proved particularly significant through the development of scientific Kampo medicine and the establishment of research networks at institutions.Drawing on Pierre Bourdieu’s concept of scientific fields and Bruno Latour’s actor-network theory,the analysis reveals how different actors negotiated the transformation of traditional medical knowledge within changing social and political contexts.The study demonstrates that Japanese approaches to medical modernization,particularly in pharmacognosy research,provided an alternative model to Western biochemical analysis,emphasizing the preservation of traditional compound formulations while adopting modern scientific methods of converting Chinese medicine to modern.This study contributes to our understanding of medical modernization in East Asia by revealing the sophisticated ways in which traditional knowledge systems adapted to modern scientific requirements while maintaining their essential characteristics.
基金National Natural Science Foundation of China,No.42471185,No.T2192952National Key Research and Development Program of China,No.2022YFF0801502。
文摘The paleoenvironmental changes and adaptation strategies of hominins during the Late Pleistocene are crucial for understanding the evolution,dispersal,and behavioral shifts of early modern humans.Despite South China's significance as a nexus for hominin dispersal and handaxe technology diffusion,quantitative reconstructions of paleoenvironments linked to archaeological records remain scarce.The Sandinggai site(96.6-13.3 ka BP)in central South China,with its well-preserved stratigraphy and abundant lithic artefacts,is notable for providing valuable insights.In this study,quantitative reconstruction of the vegetation succession and climate change sequences at the site was conducted using palynological and isotopic data.The results indicated a shift from a warm-temperate evergreen and deciduous broadleaf mixed forest to a temperate deciduous broadleaf forest,with the climate transitioning from warm and humid to cooler and drier conditions.During the early phase,an increase in lithic production suggested favorable conditions for hominin survival.In the later phase,decreased lithic production and the replacement of large handaxe tools by smaller flake tools,indicated that hominins adapted to the cooler,drier climate and more open landscapes through lithic miniaturization.These findings highlight the environment-driven adaptation of lithic technology and hominin behavior,thereby shedding light on human survival adaptation strategies.
基金supported by the Natural Science Foundation of Qinghai Province(No.2022-ZJ-901)the National Breeding Joint Research Project。
文摘Introduction Tibetan sheep,economically important animals on the Qinghai–Tibet Plateau,have diversified into numerous local breeds with unique characteristics through prolonged environmental adaptation and selective breeding.However,most current research focuses on one or two breeds,and lacks a comprehensive representa-tion of the genetic diversity across multiple Tibetan sheep breeds.This study aims to fill this gap by investigating the genetic structure,diversity and high-altitude adaptation of 6 Tibetan sheep breeds using whole-genome rese-quencing data.Results Six Tibetan sheep breeds were investigated in this study,and whole-genome resequencing data were used to investigate their genetic structure and population diversity.The results showed that the 6 Tibetan sheep breeds exhibited distinct separation in the phylogenetic tree;however,the levels of differentiation among the breeds were minimal,with extensive gene flow observed.Population structure analysis broadly categorized the 6 breeds into 3 distinct ecological types:plateau-type,valley-type and Euler-type.Analysis of unique single-nucleotide polymor-phisms(SNPs)and selective sweeps between Argali and Tibetan sheep revealed that Tibetan sheep domestication was associated primarily with sensory and signal transduction,nutrient absorption and metabolism,and growth and reproductive characteristics.Finally,comprehensive analysis of selective sweep and transcriptome data sug-gested that Tibetan sheep breeds inhabiting different altitudes on the Qinghai–Tibet Plateau adapt by enhancing cardiopulmonary function,regulating body fluid balance through renal reabsorption,and modifying nutrient diges-tion and absorption pathways.Conclusion In this study,we investigated the genetic diversity and population structure of 6 Tibetan sheep breeds in Qinghai Province,China.Additionally,we analyzed the domestication traits and investigated the unique adapta-tion mechanisms residing varying altitudes in the plateau region of Tibetan sheep.This study provides valuable insights into the evolutionary processes of Tibetan sheep in extreme environments.These findings will also contribute to the preservation of genetic diversity and offer a foundation for Tibetan sheep diversity preservation and plateau animal environmental adaptation mechanisms.
基金the Project of Qinghai provincial central government guides local funds for science and technology development(2024ZY005).
文摘As climate change triggers unprecedented ecological shifts,it becomes imperative to understand the genetic underpinnings of species’adaptability.Adaptive introgression significantly contributes to organismal adaptation to new environments by introducing genetic variation across species boundaries.However,despite growing recognition of its importance,the extent to which adaptive introgression has shaped the evolutionary history of closely related species remains poorly understood.Here we employed population genetic analyses of high-throughput sequencing data to investigate the interplay between genetic introgression and local adaptation in three species of spruce trees in the genus Picea(P.asperata,P.crassifolia,and P.meyeri).We find distinct genetic differentiation among these species,despite a substantial gene flow.Crucially,we find bidirectional adaptive introgression between allopatrically distributed species pairs and unearthed dozens of genes linked to stress resilience and flowering time.These candidate genes most likely have promoted adaptability of these spruces to historical environmental changes and may enhance their survival and resilience to future climate changes.Our findings highlight that adaptive introgression could be prevalent and bidirectional in a topographically complex area,and this could have contributed to rich genetic variation and diverse habitat usage by tree species.
基金National Key R&D Program of China,Grant/Award Numbers:2018YFE0203900,2020YFB1313600German Research Foundation,Hamburg Landesforschungsförderungsprojekt Cross,Grant/Award Number:Sonderforschungsbereich Transregio 169+2 种基金Shanghai Artificial Intelligence Innovation Development Special Support Project,Grant/Award Number:3920365001Horizon2020 RISE project STEP2DYNA,Grant/Award Number:691154National Natural Science Foundation of China,Grant/Award Numbers:61773083,62206168,62276048,U1813202。
文摘Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has become a mainstream solution but losing focus on the inter-sample class information.This paper proposes a new Credible Local Context Representation approach for SFDA.Our main idea is to exploit the credible local context for more discriminative representation.Specifically,we enhance the source model's discrimination by information regulating.To capture the context,a discovery method is developed that performs fixed steps walking in deep space and takes the credible features in this path as the context.In the epoch-wise adaptation,deep clustering-like training is conducted with two major updates.First,the context for all target data is constructed and then the context-fused pseudo-labels providing semantic guidance are generated.Second,for each target data,a weighting fusion on its context forms the anchored neighbourhood structure;thus,the deep clustering is switched from individual-based to coarse-grained.Also,a new regularisation building is developed on the anchored neighbourhood to drive the deep coarse-grained learning.Experiments on three benchmarks indicate that the proposed method can achieve stateof-the-art results.
基金funded by the National Science and Technology Major Project(2022ZD0115703)the Beijing Postdoctoral Research Foundation(2023-ZZ-116).
文摘The environment has an important impact on maize(Zea mays L.)production,making it necessary to identify plant adaptation regions that are suitable for different maize varieties.Traditional methods using field trials are costly and restricted to a limited number of areas.Identifying adaptation regions based on climate data has great potential,but a basic understanding and a prediction approach for diverse maize varieties are lacking.Here,we collected a representative dataset comprising 32,840 data points from the National Maize Variety Trial Data Management Platform.We employed three traits to characterize the adaptability of different maize varieties:PH(plant height),DTS(days to silking),and yield.First,we quantified the contributions of variety(V),environment(E),and V×E to variance in the three adaptationrelated traits.The mean contributions of E to variance in PH,DTS,and yield were 54.50%,82.87%,and 75.92%,respectively,suggesting that environmental effects are crucial for phenotype construction.Second,we analyzed correlations between the three traits and three environmental indices:GDD(growing degree days),PRE(precipitation),and SSD(sunshine duration).The highest absolute correlation coefficients between phenotypes and environmental indices were 0.15–0.69 at the whole-data level.To predict variety adaptation on a national scale,we modeled the three traits using environmental indices and best linear unbiased predictors(BLUPs)via the random forest algorithm.The predictive abilities of our models for PH,DTS,and yield were 0.90(MAE=9.95 cm),0.99(MAE=1.09 d),and 0.95(MAE=0.55 t ha^(−1)),respectively,indicating that our proposed framework can predict adaptationrelated traits for diverse maize varieties in China.
基金funded by the National Natural Science Foundation of China(grants number 32070377 and 31770374)Science Fund for Creative Research Groups of the Natural Science Foundation of Hubei Province(2024AFA035).
文摘Local adaptation is critical for plant survivals and reproductions in the context of global environmental change.Heterogeneous environments impose various selection pressures that influence the fitness of organisms and leave genomic signatures during the process of adaptation to local environments.However,unveiling the genomic signatures of adaptation still poses a major challenge especially for perennials due to limited genomic resources.Here,we utilized Actinidia eriantha,a Chinese endemic liana,as a model case to detect drivers of local adaptation and adaptive signals through landscape genomics for 311 individuals collected from 25 populations.Our results demonstrated precipitation and solar radiation were two crucial factors influencing the patterns of genetic variations and driving adaptive processes.We further uncovered a set of genes involved in adaptation to heterogeneous environments.Among them,AeERF110 showed high genetic differentiation between populations and was confirmed to be involved in local adaptation via changes in allele frequency along with precipitation(Prec_03)and solar radiation(Srad_03)in native habitats separately,implying that adaptive loci frequently exhibited environmental and geographic signals.In addition,we assessed genetic offsets of populations under four future climate models and revealed that populations from middle and east clusters faced higher risks in adapting to future environments,which should address more attentions.Taken together,our study opens new perspectives for understanding the genetic underpinnings of local adaptation in plants to environmental changes in a more comprehensive fashion and offered the guides on applications in conservation efforts.
文摘BACKGROUND In pediatric and adolescent athletes,there is a lack of understanding about the impact of factors such as race on the structural or cardiovascular adaptations in response to exercise which may unnecessarily disqualify athletes from the competitive sport.We hypothesized that race has an impact on cardiac adaptions in non-adult athletes.AIM To explore the racial disparity in electrocardiographic(ECG)and echocardiographic(ECHO)parameters in healthy adolescent athletes.METHODS A comprehensive electronic systematic literature search using MEDLINE database was performed from inception to September 20,2024.Inclusion criteria included randomized or observational cohort studies that recruited adolescent competitive athletes in any sport discipline and compared between the Black and White races with an age range of 12-18 years.RESULTS Of 723 records that were identified by the literature search,seven studies(n=5036)were included.The mean age was 13.0-18.0 years old with male predominance.Black athletes had significantly longer PR interval[mean difference(MD)=17.49 millisecond,95% CI:11.70-23.29]and shorter QRS complex duration(MD=-7.35 millisecond,95% CI:-9.17 to-5.53)and corrected QT interval(MD=-4.95 millisecond,95% CI:-7.69 to-2.22)than the White athletes.Black athletes were approximately four times more likely to have first-degree atrioventricular(AV)block,inverted T wave,ST-segment elevation,and left atrium(LA)enlargement than their White counterparts.In terms of ECHO parameters,Black athletes had significantly greater septal wall thickness(MD=0.85 mm,95% CI:0.62-1.07),posterior wall thickness(MD=1.07 mm,95% CI:0.36-1.78),relative wall thickness(MD=0.03,95%CI:0.001-0.06),maximal wall thickness(MD=1.05 mm,95%CI:0.28-1.83),and LA diameter(MD=1.64 mm,95%CI:0.16-3.12).CONCLUSION Race has an impact on the ECG and ECHO parameters that reflect cardiac adaptations in adolescent athletes.Black athletes tend to have an increased prevalence of distinct ECG changes such as first-degree AV block and T-wave inversions compared with their White counterparts.Despite having thicker septal and posterior walls,the overall prevalence of left ventricular hypertrophy did not differ between the races.
基金supported by the National Natural Science Foundation of China(32370386,32070372,and 32200295)Science Foundation for Distinguished Young Scholars of Shaanxi Province(2023-JC-JQ-22)+4 种基金Basic Research Project of Shaanxi Academy of Fundamental Science(22JHZ005)Shaanxi Key Research and Development Program(2024NC-YBXM-064)Science and Technology Program of Shaanxi Academy of Science(2023K-49,2023K-26,and 2019K-06)Shaanxi Forestry Science and Technology Innovation Key Project(SXLK2023-02-20)Qinling Hundred Talents Project of Shaanxi Academy of Science(Y23Z619F17).
文摘Intraspecific genetic variance and gene flow can support the adaptive evolution of species challenged by climate shifts or novel environmental conditions.Less well understood is how genome organization and gene flow interact in closely related species during evolutionary divergence and differentiation.Here we conducted genomic footprint analyses to determine how three species of Pterocarya(P.stenoptera,P.hupehensis,and P.macroptera),which are sympatric but occupy different elevational niches,adapted to the heterogeneous environment of the Qinling-Daba Mountains,China.We identified candidate genes for environmental adaptation(i.e.,PIEZO1,WRKY39,VDAC3,CBL1,and RAF),and also identified regions of gene introgression between P.hupehensis and P.macroptera that show lower genetic load and higher genetic diversity than the rest of their genomes.The same introgressed regions are notably situated in areas of minimal genetic divergence yet they are characterized by elevated recombination rates.We also identified candidate genes within these introgressed regions related to environmental adaptation(TPLC2,CYCH;1,LUH,bHLH112,GLX1,TLP-3,and ABC1).Our findings have thus clarified the important role of gene flow in ecological adaptation and revealed genomic signatures of past introgression.Together,these findings provide a stronger theoretical basis for understanding the ecological adaptation and conservation of Quaternary relict woody plants in East Asia.
基金supported by the National Natural Science Foundation of China(32170232,32070222,32271613)the National Key R&D Programof China(Key Special Project for Marine Environmental Security and Sustainable Development of Coral Reefs 2021-400)+1 种基金Guangdong Science and Technology Program(2024B1212050007)the National Key Research and Development Program of China(2021YFC3100405)。
文摘Tropical coral islands represent one of the extremely stressful ecosystems,characterized by high salinity,seasonal drought,heat,strong ultraviolet radiation,and infertile soil,which constraint species occurrence,limit plant growth and development,and reduce species richness comparing to tropical continental islands with mesophytic habitats(Li et al.,2024;Ren et al.,2017;Tu et al.,2022,2024).Coupled with global climate changes,these adverse conditions have been being exacerbated,leading to extensive degradation of ecosystems throughout the tropical coral islands(Li et al.,2021).Native insular plant resources provide enormous potentials in island greening and ecological restoration,since they have colonized and become well adapted to the specialized habitat on tropical coral islands,evolving a series of functional traits and molecular strategies to accommodate the abiotic stresses.Thus,understanding the genomic make-up of these plants will help uncover molecular mechanisms underlying adaptation to tropical coral islands.However,contrary to the numerous genomic studies done for other extreme habitats,such as deserts(Hu et al.,2021;Ma et al.,2013),alpine regions(Zhang et al.,2023),intertidal habitats(Feng et al.,2021;Hu et al.,2020;Natarajan et al.,2021),and karst caves(Feng et al.,2020),molecular adaptation of plants on the tropical coral islands remains to be elucidated.
基金National Natural Science Foundation of China,No.42371165,No.41872029。
文摘Situated in the semi-arid regions of North China,the Nihewan Basin documents the fluvio-lacustrine sequence and Pleistocene archaeological sites,offering an excellent opportunity to investigate human adaptation to environmental change in East Asia,especially in North China.However,paleoenvironmental datasets from Middle Pleistocene archaeological sites are not fully understood.Focusing on the evidence from the 0.63-0.49 Ma-old site of Jijiazhuang(Nihewan Basin,North China),this paper presents the results of various environmental indicators from the site context.Moreover,it explores the links between hominin behavioral adaptations and ecological variability during the extra-long interglacial period in North China.Sedimentological features of the excavated section indicate that the site was formed in the margin of the Nihewan paleolake.Based on well-constructed pollen,sediment grain size,color reflectance,and major geochemical element analyses,five stages of environmental changes were identified during site formation.This study indicates that hominins occupied the site at the early part of Stage 2,when the Nihewan paleolake had a relatively low water level and the climate was temperate,with strong weathering intensity dominated by wooded grassland landscapes.In conclusion,the results suggest that the extra-long duration of interglacial or mild stadial climate events(MISs 15-13)in the Northern Hemisphere may have provided favorable conditions for increased technological innovations and adaptive strategies among Middle Pleistocene hominins in the Nihewan Basin even in North China.
基金co-supported by the Aeronautical Science Foundation of China(Nos.2018ZA52002 and 2019ZA052011)。
文摘Multi-scale problems in Computational Fluid Dynamics(CFD)often require numerous simulations across various design parameters.Using a fixed mesh for all cases may fail to capture critical physical features.Moving mesh adaptation provides an optimal resource allocation to obtain high-resolution flow-fields on low-resolution meshes.However,most existing methods require manual experience and the flow posteriori information poses great challenges to practical applications.In addition,generating adaptive meshes directly from design parameters is difficult due to highly nonlinear relationships.The diffusion model is currently the most popular model in generative tasks that integrates the diffusion principle into deep learning to capture the complex nonlinear correlations.A dual diffusion framework,Para2Mesh,is proposed to predict the adaptive meshes from design parameters by exploiting the robust data distribution learning ability of the diffusion model.Through iterative denoising,the proposed dual networks accurately reconstruct the flow-field to provide flow features as supervised information,and then achieve rapid and reliable mesh movement.Experiments in CFD scenarios demonstrate that Para2Mesh predicts similar meshes directly from design parameters with much higher efficiency than traditional method.It could become a real-time adaptation tool to assist engineering design and optimization,providing a promising solution for high-resolution flow-field analysis.
基金supported by Central Government Guided Local Science and Technology Development Fund(2024ZY0616),the China Agricultural Journal Website Research Fund Project(CAJW2024-045).
文摘Tropical forests,critical for global carbon storage and biodiversity,are failing to adapt at the pace required by accelerating climate change.A comprehensive study by Aguirre-Gutiérrez et al.(Science 387:eadi5414,2025)analyzing four decades of data from 415 forest plots and 250,000 trees across the Americas reveals significant mismatches between functional trait shifts(e.g.,leaf area,wood density,photosynthetic capacity)and climatic pressures.Survivor trees tracked climatic changes at less than 8%of the necessary rate,while recruits achieved only 22%,leaving ecosystems increasingly vulnerable.Lowland forests exhibited stronger trait responses compared to nutrient-limited montane forests,but neither aligned with future climate projections.By 2100,projected temperature rises(~4℃)and precipitation declines(~20%)may push forests into“no-analog”climates,surpassing adaptive thresholds.These lags threaten carbon sequestration,biodiversity,and ecosystem stability,underscoring the urgent need for emissions reduction,conservation of climate refugia,and assisted migration strategies to mitigate irreversible biome transitions.
文摘When mammals are exposed to cold,their metabolism undergoes substantial changes.The liver plays a central role in maintaining energy homeostasis by shifting from glucose metabolism to lipid catabolism.A recent study by Davidson et al.^([1]),published in Cell Metabolism,highlights a novel mechanism involving lysosomal lipid remodeling during cold adaptation.Specifically,the study reveals that cold exposure elevates hepatic levels of Bis(Monoacylglycerol)Phosphate(BMP)lipids,which are regulated by Transcription Factor EB(TFEB)and Phospholipase A2 group XV(PLA2G15).
文摘The intertwined challenges of climate change, resource scarcity, and conflict require innovative integrated solutions that address both environmental and societal vulnerabilities. Technological innovation offers a transformative pathway for climate change adaptation and peacebuilding, with emphasis on a holistic approach to managing resource conflicts and environmental challenges. This paper explores the synergies between emerging technologies and strategic framework to mitigate climate-induced tensions and foster resilience. It focuses on the application of renewable energy systems to reduce dependence on contested resources, blockchain technology to ensure transparency in climate finance, equitable resource allocation and Artificial Intelligence (AI) to enhance early warning systems for climate-related disaster and conflicts. Additionally, technologies such as precision agriculture and remote sensing empower communities to optimize resource use, adapt to shifting environmental conditions, and reduce competition over scares resources. These innovations with inclusive governance and local capacity-building are very primordial. Ultimately, the convergence of technology, policy, and local participation offers a scalable and replicable model for addressing the dual challenges of environmental degradation and instability, thereby paving the way for a more sustainable and peaceful future.
基金supported by the Industry-University Cooperation Project in Fujian Province University(No.2023H6006)the State Key Laboratory of Reliability and Intelligence of Electrical Equipment(No.EERI-KF20200005)。
文摘Artificial intelligence has potential for forecasting reactor conditions in the nuclear industry.Owing to economic and security concerns,a common method is to train data generated by simulators.However,achieving a satisfactory performance in practical applications is difficult because simulators imperfectly emulate reality.To bridge this gap,we propose a novel framework called simulation-to-reality domain adaptation(SRDA)for forecasting the operating parameters of nuclear reactors.The SRDA model employs a transformer-based feature extractor to capture dynamic characteristics and temporal dependencies.A parameter predictor with an improved logarithmic loss function is specifically designed to adapt to varying reactor powers.To fuse prior reactor knowledge from simulations with reality,the domain discriminator utilizes an adversarial strategy to ensure the learning of deep domain-invariant features,and the multiple kernel maximum mean discrepancy minimizes their discrepancies.Experiments on neutron fluxes and temperatures from a pressurized water reactor illustrate that the SRDA model surpasses various advanced methods in terms of predictive performance.This study is the first to use domain adaptation for real-world reactor prediction and presents a feasible solution for enhancing the transferability and generalizability of simulated data.
