As the highest and largest plateau in the world,the Qinghai-Tibet Plateau(QTP)covers wide geological,topographical and climatic gradients and thus acts as a major center for biodiversity and houses a diverse array of ...As the highest and largest plateau in the world,the Qinghai-Tibet Plateau(QTP)covers wide geological,topographical and climatic gradients and thus acts as a major center for biodiversity and houses a diverse array of high elevation ecosystems.Together these factors make the QTP a critical ecological shield for Asia.However,the composition,structure and function of plant diversity in QTP has experienced profound changes in recent decades.Long-term on-site monitoring,fieldexperiments,remote sensing,and simulations have led to significantadvances in our understanding of how plant diversity on the QTP has responded to climate change and human activity.This review synthesizes findingsfrom previous researches on how climate change and human activity have impacted plant diversity on the QTP.We identify gaps in our knowledge and highlight the need for interdisciplinary studies,long-term monitoring networks,and adaptive management strategies to enhance our knowledge and safeguard the QTP’s biodiversity amid accelerating global climate change.展开更多
As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and...As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and it has been widely applied across various fields.In the field of astronomy,AI techniques have demonstrated unique advantages,particularly in the identification of pulsars and their candidates.AI is able to address the challenges of pulsar celestial body identification and classification because of its accuracy and efficiency.This paper systematically surveys commonly used AI models for pulsar candidate identification,analyzing and discussing the typical applications of machine learning,artificial neural networks,convolutional neural networks,and generative adversarial networks in candidate identification.Furthermore,it explores how th.e introduction of AI techniques not only enhances the efficiency and accuracy of pulsar identification but also provides new perspectives and tools for pulsar survey data processing,thus playing a significant role in advancing pulsar research and the field of astronomy.展开更多
Wheat is an important cereal crop used to produce diverse and popular food worldwide because of its high grain yield(GY)and grain protein content(GPC).However,GY and GPC are usually negatively correlated.We previously...Wheat is an important cereal crop used to produce diverse and popular food worldwide because of its high grain yield(GY)and grain protein content(GPC).However,GY and GPC are usually negatively correlated.We previously reported that favorable alleles of the wheat domestication gene Q can synchronously increase GY and GPC,but the underlying mechanisms remain largely unknown.In this study,we investigate the regulatory network involving Q associated with GY and GPC in young grains through DNA affinity purification sequencing and transcriptome sequencing analyses,electrophoretic mobility shift and dualluciferase assays,and transgenic approaches.Three Q-binding motifs,namely TTAAGG,AAACA[A/T]A,and GTAC[T/G]A,are identified.Notably,genes related to photosynthesis or carbon and nitrogen metabolism are enriched and regulated by Q.Moreover,Q is revealed to bind directly to its own gene and the glutamine synthetase gene GSr-4D to increase expression,thereby influencing nitrogen assimilation during the grain filling stage and increasing GPC.Considered together,our findings provide molecular evidence of the positive regulatory effects of Q on wheat GY and GPC.展开更多
Starch biosynthesis is a complex process that relies on the coordinated action of multiple enzymes.Resistant starch is not digested in the small intestine,thus preventing a rapid rise in the glycemic index.Starch synt...Starch biosynthesis is a complex process that relies on the coordinated action of multiple enzymes.Resistant starch is not digested in the small intestine,thus preventing a rapid rise in the glycemic index.Starch synthase 2a(SS2a)is a key enzyme in amylopectin biosynthesis that has significant effects on starch structure and properties.In this study,we identified an ss2a null mutant(M3-1413)with a single base mutation from an ethyl methane sulfonate(EMS)-mutagenized population of barley.The mutation was located at the 3'end of the first intron of the RNA splicing receptor(AG)site,and resulted in abnormal RNA splicing and two abnormal transcripts of ss2a,which caused the inactivation of the SS2a gene.The starch structure and properties were significantly altered in the mutant,with M3-1413 containing lower total starch and higher amylose and resistant starch levels.This study sheds light on the effect of barley ss2a null mutations on starch properties and will help to guide new applications of barley starch in the development of nutritious food products.展开更多
Fusarium head blight(FHB),mainly caused by Fusarium graminearum,is one of the most destructive fungal diseases affecting global wheat production.Elymus repens(2n=6×=42,StStStStHH),a wild relative of wheat,exhibit...Fusarium head blight(FHB),mainly caused by Fusarium graminearum,is one of the most destructive fungal diseases affecting global wheat production.Elymus repens(2n=6×=42,StStStStHH),a wild relative of wheat,exhibits numerous biotic and abiotic stress resistance characteristics.In previous studies,FHB resistance of E.repens has been transferred into common wheat through a wheat-E.repens partial amphidiploid and derivative lines.This study reports the development,characterization,and breeding utilization of K140-7,a novel wheat-E.repens translocation line conferring resistance to FHB.Genomic in situ hybridization(GISH)and fluorescence in situ hybridization(FISH)analyses demonstrated that K140-7 contained 40 common wheat chromosomes and two 7D·St translocation chromosomes.Subsequent characterization using oligonucleotide-FISH painting and single-gene FISH markers confirmed that the 7D fragment was a 7D short arm and the St fragment was a 7St long arm.Therefore,K140-7 was further identified as a 7DS·7StL translocation line with genetic compensation.Wheat 55K SNP array analysis of K140-7 demonstrated the 7DS·7StL translocation event.Field evaluations demonstrated that K140-7 exhibits agronomic performance comparable to its wheat parent.Based on St reference genome of Pseudoroegneria libanotica,21 simple sequence repeats(SSR)markers specific to 7StL were developed.Genetic analysis established that 7StL confers FHB resistance and carries the dominant FHB resistance locus,designated as QFhb.Er-7StL.Introgression of QFhb.Er-7StL into elite wheat cultivars has generated three second-generation 7DS·7StL translocation lines with enhanced agronomic traits.This study provides valuable novel germplasms and specific molecular markers for FHB resistance breeding in wheat.展开更多
Traditional cement-based slurries are often constrained by excessive cement consumption,prolonged setting times,and limited controllability,which hinder their broader engineering applications.To overcome these challen...Traditional cement-based slurries are often constrained by excessive cement consumption,prolonged setting times,and limited controllability,which hinder their broader engineering applications.To overcome these challenges,this study focuses on optimizing ordinary cement-based slurry through the incorporation of targeted additives and rational adjustment of mix proportions,with the aim of developing a rapid-setting,early-strength cementitious system.In particular,a series of comparative and orthogonal experiments were conducted to systematically examine the evolution of the slurry's macroscopic properties.In addition,the response surface methodology(RSM)was introduced to reveal the interaction mechanisms among key parameters,thereby establishing a quantitative foundation for the precise regulation of slurry performance.The comparative results demonstrate that silica fume significantly outperforms fly ash in enhancing both the rheological and mechanical behavior of the slurry.Regarding fluidity,the average consistency and slump of the silica fume mixture were reduced by 80 mm and 75 mm,respectively,compared with those containing fly ash,indicating more effective control of flowability.In terms of setting and strength development,the silica fume slurry exhibited a setting time up to 9.6 h shorter and a compressive strength up to 3.6 MPa higher under identical mix conditions.These results confirm the clear superiority of silica fume in promoting rapid solidification and early strength gain.展开更多
Astronomical spectroscopy is crucial for exploring the physical properties,chemical composition,and kinematic behavior of celestial objects.With continuous advancements in observational technology,astronomical spectro...Astronomical spectroscopy is crucial for exploring the physical properties,chemical composition,and kinematic behavior of celestial objects.With continuous advancements in observational technology,astronomical spectroscopy faces the dual challenges of rapidly expanding data volumes and relatively lagging data processing capabilities.In this context,the rise of artificial intelligence technologies offers an innovative solution to address these challenges.This paper analyzes the latest developments in the application of machine learning for astronomical spectral data mining and discusses future research directions in AI-based spectral studies.However,the application of machine learning technologies presents several challenges.The high complexity of models often comes with insufficient interpretability,complicating scientific understanding.Moreover,the large-scale computational demands place higher requirements on hardware resources,leading to a significant increase in computational costs.AI-based astronomical spectroscopy research should advance in the following key directions.First,develop efficient data augmentation techniques to enhance model generalization capabilities.Second,explore more interpretable model designs to ensure the reliability and transparency of scientific conclusions.Third,optimize computational efficiency and reduce the threshold for deep-learning applications through collaborative innovations in algorithms and hardware.Furthermore,promoting the integration of cross-band data processing is essential to achieve seamless integration and comprehensive analysis of multi-source data,providing richer,multidimensional information to uncover the mysteries of the universe.展开更多
Copper is one of the essential trace elements for living beings,influencing several critical processes like cellular energy production,antioxidant defense,communication within cells,and the functioning of enzymes[1].T...Copper is one of the essential trace elements for living beings,influencing several critical processes like cellular energy production,antioxidant defense,communication within cells,and the functioning of enzymes[1].The daily intake of copper is 0.7−3.0 mg/d,and copper homeostasis is strictly regulated by physiological processes,including duodenal and small intestinal uptake,blood transport,liver storage and release,and bile excretion,thereby maintaining copper homeostasis in the body[2],and many studies have confirmed that copper disorders in the body are associated with neurodegenerative,metabolic,and genetic diseases[3].展开更多
Previous attempts to elucidate the drivers of speciation mechanisms and spatial distribution patterns of biodiversity in mountain regions have treated different floras within a single geological region as one flora,ig...Previous attempts to elucidate the drivers of speciation mechanisms and spatial distribution patterns of biodiversity in mountain regions have treated different floras within a single geological region as one flora,ignoring the potential contributions of high habitat/ecosystem heterogeneity.Furthermore,current conservation strategies largely focus on forest ecosystems and/or specific flagship species,ignoring marginal ecosystems,leaving species in these ecosystems at risk.Here,we compared the spatial patterns of biodiversity and the potential drivers of these patterns in the river valley and subnival ecosystems of the Hengduan Mountains region(HDM)in southwestern China.Specifically,we compared spatial patterns of diversity,endemism,and threatened species in these ecosystems based on both traditional measurements and recent phylogenetic approaches.We then examined how those patterns were related to environmental factors and human activity in these same regions.We found that the middle-southern HDM supports the highest diversity and endemism for the river valley and subnival ecosystems;however,the distribution patterns of neo-and paleo-endemism in these two ecosystems differ.Regression models indicate that habitat diversity and paleo-climatic fluctuation are important drivers of diversity and endemism for these two ecosystems.Temperature and precipitation,however,showed different influences on the spatial patterns in different ecosystems.Categorical analysis of neo-and paleoendemism(CANAPE)indicated that most endemism centers are not covered by current nature reserves.Moreover,the intensity of human activity is highest in the southern and southeastern HDM,which coincides with the distribution patterns of diversity,mixed-endemism and high-priority(and threatened)species.These findings suggest that different floras within a single geographic/floristic region respond differently to environmental factors and show different spatial phylogenetic patterns.We,therefore,recommend that future research into the drivers of biodiversity consider the contributions of various ecosystem types within a single geological region.This study also provides a theoretical basis for protecting habitat diversity.Our work confirms that current conservation efforts are insufficient to protect ecosystem diversity in the river valley and subnival ecosystems of the Hengduan Mountains.Therefore,we recommend the establishment of nature reserves in the regions identified in this study;furthermore,we strongly recommend improving current and establishing new management policies for biodiversity conservation in this region.展开更多
Stripe rust, caused by Puccinia striiformis f. sp. tritici(Pst), threatens wheat production worldwide, and resistant varieties tend to become susceptible after a period of cultivation owing to the variation of pathoge...Stripe rust, caused by Puccinia striiformis f. sp. tritici(Pst), threatens wheat production worldwide, and resistant varieties tend to become susceptible after a period of cultivation owing to the variation of pathogen races. In this study, a new resistance gene against Pst race CYR34 was identified and predicted using the descendants of a cross between AS1676, a highly resistant Chinese landrace, and Avocet S, a susceptible cultivar. From a heterozygous plant from a F7recombinant inbred line(RIL) population lacking the Yr18 gene, a near-isogenic line(NIL) population was developed to map the resistance gene. An allstage resistance gene, YrAS1676, was identified on chromosome arm 1AL via bulked-segregant exomecapture sequencing. By analyzing a large NIL population consisting of 6537 plants, the gene was further mapped to the marker interval between KA1A_485.36 and KA1A_490.13, spanning 485.36–490.13 Mb on1AL. A total of 66 annotated genes have been reported in this region. To characterize and predict the candidate gene(s), an RNA-seq was performed using NIL-R and NIL-S seedlings 3 days after CYR34 inoculation. Compared to NIL-S plants, NIL-R plants showed stronger immune reaction and higher expression levels of genes encoding pathogenesis-associated proteins. These differences may help to explain why NIL-R plants were more resistant to Pst race CYR34 than NIL-S plants. By combining fine-mapping and transcriptome sequencing, a calcium-dependent protein kinase gene was finally predicted as the potential candidate gene of YrAS1676. This gene contained a single-nucleotide polymorphism. The candidate gene was more highly expressed in NIL-R than in NIL-S plants. In field experiments with Pst challenge,the YrAS1676 genotype showed mitigation of disease damage and yield loss without adverse effects on tested agronomic traits. These results suggest that YrAS1676 has potential use in wheat stripe rust resistance breeding.展开更多
A series of ZnO-ZrO_(2) solid solutions with different Zn contents were synthesized by the urea coprecipitation method,which were coupled with H-ZSM-5 zeolite to form bifunctional catalysts.As a new benzene alkylation...A series of ZnO-ZrO_(2) solid solutions with different Zn contents were synthesized by the urea coprecipitation method,which were coupled with H-ZSM-5 zeolite to form bifunctional catalysts.As a new benzene alkylation reagent,syngas was used instead of methanol to realize the efficient conversion of syngas and benzene into toluene and xylene.A suitable ratio of ZnO-ZrO_(2) led to the significant improvement in the catalytic performance,and a suitable amount of acid helped to increase the selectivity of toluene/xylene and reduce the selectivity of the by-products ethylbenzene and C^(9+) aromatics.The highest benzene conversion of 89.2%and toluene/xylene selectivity of 88.7%were achieved over 10%ZnO-ZrO_(2)&H-ZSM-5(Si/Al=23)at a pressure of 3 MPa and a temperature of 450℃.In addition,the effect of the zeolite framework structure on product distribution was examined.Similar to the molecular dynamics of aromatic hydrocarbons,H-ZSM-5 zeolites comprise 10-membered-ring pores,which are beneficial to the activation of benzene;hence,the conversion of benzene is higher.H-ZSM-35 and HMOR zeolites exhibited small eight-membered-ring channels,which were not conducive to the passage of benzene;hence,the by-product ethylbenzene exhibits a higher selectivity.The distance between the active centers of the bifunctional catalysts was the main factor affecting the catalytic performance,and the powder mixing method was more conducive to the conversion of syngas and benzene.展开更多
The summer Asian-Pacific Oscillation （APO） is a major teleconnection pattern that reflects the zonal thermal contrast between East Asia and the North Pacific in the upper troposphere. The performance of Beijing Clim...The summer Asian-Pacific Oscillation （APO） is a major teleconnection pattern that reflects the zonal thermal contrast between East Asia and the North Pacific in the upper troposphere. The performance of Beijing Climate Center Climate System Models （BCC_CSMs） with different horizontal resolutions, i.e., BCC_CSM1.1 and BCC_CSM1.1 （m）, in reproducing APO interannual variability, APO-related precipitation anomalies, and associated atmospheric circulation anomalies, is evaluated. The results show that BCC_CSMI.I（m） can successfully capture the interannual variability of the summer APO index. It is also more capable in reproducing the APO＇s spatial pattern, compared to BCC_CSMI.1, due to its higher horizontal resolution. Associated with a positive APO index, the northward-shifted and intensified South Asian high, strengthened extratropical westerly jet, and tropical easterly jet in the upper troposphere, as well as the southwesterly monsoonal flow over North Africa and the Indian Ocean in the lower troposphere, are realistically represented by BCC_CSM1.1 （m）, leading to an improvement in reproducing the increased precipitation over tropical North Africa, South Asia, and East Asia, as well as the decreased precipitation over subtropical North Africa, Japan, and North America. In contrast, these features are less consistent with observations when simulated by BCC_CSM1.1. Regression analysis further indicates that surface temperature anomalies over the North Pacific and the southern and western flanks of the Tibetan Plateau are reasonably reproduced by BCC_CSM 1.1 （m）, which contributes to the substantial improvement in the simulation of the characteristics of summer APO compared to that of BCC_CSM1.1.展开更多
Artificial Intelligence(AI)is an interdisciplinary research field with widespread applications.It aims at developing theoretical,methodological,technological,and applied systems that simulate,enhance,and assist human ...Artificial Intelligence(AI)is an interdisciplinary research field with widespread applications.It aims at developing theoretical,methodological,technological,and applied systems that simulate,enhance,and assist human intelligence.Recently,notable accomplishments of artificial intelligence technology have been achieved in astronomical data processing,establishing this technology as central to numerous astronomical research areas such as radio astronomy,stellar and galactic(Milky Way)studies,exoplanets surveys,cosmology,and solar physics.This article systematically reviews representative applications of artificial intelligence technology to astronomical data processing,with comprehensive description of specific cases:pulsar candidate identification,fast radio burst detection,gravitational wave detection,spectral classification,and radio frequency interference mitigation.Furthermore,it discusses possible future applications to provide perspectives for astronomical research in the artificial intelligence era.展开更多
When benefiting other beneficiaries,cushion plants may reciprocally receive feedback effects.The feedback effects on different sex morphs,however,remains unclear.In this study,taking the gynodioecious Arenaria polytri...When benefiting other beneficiaries,cushion plants may reciprocally receive feedback effects.The feedback effects on different sex morphs,however,remains unclear.In this study,taking the gynodioecious Arenaria polytrichiodes as a model species,we aimed to assess the sex-specific facilitation intensity of cushion plant by measuring the beneficiary cover ratio,and to assess the potential costs in cushion reproductive functions by measuring the flower and fruit cover ratios.The total beneficiary cover ratio was similar between females and hermaphrodites.Females produced much less flowers but more fruits than hermaphrodites.These results suggested that females and hermaphrodites possess similar facilitation intensity,and female cushion A.polytrichoides may allocate more resources saved from pollen production to seed production,while hermaphrodites possibly allocate more resources to pollen production hence reducing seed production.The surface areas covered by beneficiaries produced less flowers and fruits than areas without beneficiaries.In addition,strong negative correlations between beneficiary cover and flower cover were detected for both females and hermaphrodites,but the correlation strength were similar for these two sex morphs.However,the correlation between beneficiary cover and fruit cover was only significantly negative for females,suggesting that beneficiary plants negatively affect fruit reproduction of females while have neutral effects on hermaphrodites.All the results suggest that to facilitate other beneficiaries can induce reproductive costs on cushion A.polytrichoides,with females possibly suffering greater cost than hermaphrodites.Such differentiation in reproductive costs between sex morphs,in long-term perspective,may imply sex imbalance in population dynamics.展开更多
The Xinjiang Astronomical Observatory Data Center faces issues related to delay-affected services. As a result, these services cannot be implemented in a timely manner due to the overloading of transmission links. In ...The Xinjiang Astronomical Observatory Data Center faces issues related to delay-affected services. As a result, these services cannot be implemented in a timely manner due to the overloading of transmission links. In this paper, the software-defined network technology is applied to the Xinjiang Astronomical Observatory Data Center Network(XAODCN). Specifically, a novel reconfiguration method is proposed to realise the software-defined Xinjiang Astronomical Observatory Data Center Network(SDXAO-DCN), and a network model is constructed. To overcome the congestion problem, a traffic load-balancing algorithm is designed for fast transmission of the service traffic by combining three factors: network structure, congestion level and transmission service. The proposed algorithm is compared with current commonly load-balancing algorithms which are used in data center to verify its efficiency. Simulation experiments show that the algorithm improved transmission performance and transmission quality for the SDXAO-DCN.展开更多
Improving the strength-ductility is crucial to the development of high-performance nickel-based super-alloys fabricated via additive manufacturing(AM).In this study,Sc and Y microalloying is used to regu-late the micr...Improving the strength-ductility is crucial to the development of high-performance nickel-based super-alloys fabricated via additive manufacturing(AM).In this study,Sc and Y microalloying is used to regu-late the microstructure and improve the strength-ductility of René104 supealloy(René104ScY).The re-sults suggest the formation of high-density stacking faults(SFs),Lomer-Cottrell locks,and nano-Al_(3)(Sc,Y)phases in the René104ScY matrix.The cellular/columnar structures are refined,the number of equiax-ial grains increases,and the number of columnar grains and their aspect ratio decrease in René104ScY.The synergistic effect of multiple strengthening mechanisms,including that formed by SFs,improves the strength and ductility of René104ScY fabricated via laser powder bed fusion.The yield strength,tensile strength,and elongation of René104ScY are 1059±15 MPa,1405±10 MPa,and 28.8%±0.6%,respec-tively.This study provides a novel approach for developing high-performance nickel-based superalloys using AM.展开更多
Background The lack of social activities among the elderly due to physical limitations can result in loneliness and depression. The spread of COVID-19 has made it difficult for the elderly to conduct stable social act...Background The lack of social activities among the elderly due to physical limitations can result in loneliness and depression. The spread of COVID-19 has made it difficult for the elderly to conduct stable social activities, increasing feelings of loneliness. The metaverse is a virtual world that mirrors reality. This allows the elderly to overcome the constraints of reality and perform social activities stably and continuously, providing new ideas for alleviating loneliness. Methods By analyzing their needs, a virtual social center framework for the elderly was proposed in this study. In addition, a prototype system was designed according to this framework. The elderly can socialize in virtual reality with metaverse-related technologies and human–computer interaction tools. Additionally, a test was conducted jointly with the chief physician of the geriatric rehabilitation department of a tertiary hospital. Results The results demonstrated that the mental state of the elderly who had used the virtual social center was significantly better than that of those who had not used it. Conclusions Thus, virtual social centers can help relieve loneliness and depression among the elderly with increasing global epidemics and an aging society. Hence,they have promotional value.展开更多
Microstructure and texture of electrodeposited Cu micro-cylinders in the blind hole play a vitally im- portant role in the electrical and mechanical properties of the three-dimensional （3-D） IC （integrated circuit...Microstructure and texture of electrodeposited Cu micro-cylinders in the blind hole play a vitally im- portant role in the electrical and mechanical properties of the three-dimensional （3-D） IC （integrated circuit）/Si integrations. In this paper, a new commercial additive system, which is specifically devel- oped for the high-aspect-ratio through-silicon-via （TSV） filling, was used to electrodeposit Cu in the blind holes. The microstructure of electrodeposited Cu micro-cylinder in the blind hole with a diameter of 40 μm and a depth of 140 μm was investigated by electron back-scattered diffraction （EBSD） technique. Grain size distribution of the Cu micro-cylinder in the blind hole differed from the bottom to the top. The grain boundaries contained a high fraction of Z3 CSL （coincident site lattice） boundaries. It has been reported that the Cu overburden film on the surface of the blind hole influenced the crystallographic orientation of Cu grains inside the damascene trench. So the effects of the current density and additive concentra- tion on the crystal structure of the overburden Cu film were also studied in this study. The experimental results indicated that the preferred orientation of the Cu overburden film changed from {111} to {220} when the current density increased from 2 to 80 mA cm-2. However, the effect of additives on the crystal structure of the Cu overburden film was dependent on the crystal structure of the seed layer.展开更多
This paper designs a space electromagnetic interference signal test and analysis technology verification platform.The article firstly introduces the general scheme of the technical verification platform and then descr...This paper designs a space electromagnetic interference signal test and analysis technology verification platform.The article firstly introduces the general scheme of the technical verification platform and then describes each component unit of the hardware and the overall structure of the software in detail.The platform can achieve a 10 MHz~50 GHz working frequency band,1.2 GHz acquisition and real-time recording bandwidth,6 GB/s recording rate,and 12 TB recording capacity.展开更多
基金the Second Tibetan Plateau Scientific Expedition and Research program(2024QZKK0200)the Key Projects of the Joint Fund of the National Natural Science Foundation of China(U23A20149)+2 种基金Yunnan Key R&D Program(202403AC00028)for supporting the fieldexcursion,samples collections and ecological experiment in QTP.Rest co-authors acknowledge the Yunnan Innovation Team Project(202305AS350004 to Yang Yang)the Young Academic and Technical Leader Raising Foundation of Yunnan Province(202205AC160053 to Jianguo Chen)the CAS“Light of West China”Program(xbzg-zdsys-202319 to Bo Song),Yunnan Revitalization Talent Support Program“Young Talent”Project(to Yazhou Zhang),National Youth Talent Support Program(to Yang Niu)and Postdoctoral(oversea)Fund of Ministry of Education of China(to Zihan Jiang)。
文摘As the highest and largest plateau in the world,the Qinghai-Tibet Plateau(QTP)covers wide geological,topographical and climatic gradients and thus acts as a major center for biodiversity and houses a diverse array of high elevation ecosystems.Together these factors make the QTP a critical ecological shield for Asia.However,the composition,structure and function of plant diversity in QTP has experienced profound changes in recent decades.Long-term on-site monitoring,fieldexperiments,remote sensing,and simulations have led to significantadvances in our understanding of how plant diversity on the QTP has responded to climate change and human activity.This review synthesizes findingsfrom previous researches on how climate change and human activity have impacted plant diversity on the QTP.We identify gaps in our knowledge and highlight the need for interdisciplinary studies,long-term monitoring networks,and adaptive management strategies to enhance our knowledge and safeguard the QTP’s biodiversity amid accelerating global climate change.
基金supported by the National Key R&D Program of China(2021YFC2203502 and 2022YFF0711502)the National Natural Science Foundation of China(NSFC)(12173077)+4 种基金the Tianshan Talent Project of Xinjiang Uygur Autonomous Region(2022TSYCCX0095 and 2023TSYCCX0112)the Scientific Instrument Developing Project of the Chinese Academy of Sciences(PTYQ2022YZZD01)China National Astronomical Data Center(NADC)the Operation,Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments,budgeted from the Ministry of Finance of China(MOF)and administrated by the Chinese Academy of Sciences(CAS)Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01A360)。
文摘As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and it has been widely applied across various fields.In the field of astronomy,AI techniques have demonstrated unique advantages,particularly in the identification of pulsars and their candidates.AI is able to address the challenges of pulsar celestial body identification and classification because of its accuracy and efficiency.This paper systematically surveys commonly used AI models for pulsar candidate identification,analyzing and discussing the typical applications of machine learning,artificial neural networks,convolutional neural networks,and generative adversarial networks in candidate identification.Furthermore,it explores how th.e introduction of AI techniques not only enhances the efficiency and accuracy of pulsar identification but also provides new perspectives and tools for pulsar survey data processing,thus playing a significant role in advancing pulsar research and the field of astronomy.
基金supported by the National Key Research and Development Program of China(2023YFD1200404)the Science and Technology Department of Sichuan Province(2024ZYD0160)the National Natural Science Foundation of China(32072054).
文摘Wheat is an important cereal crop used to produce diverse and popular food worldwide because of its high grain yield(GY)and grain protein content(GPC).However,GY and GPC are usually negatively correlated.We previously reported that favorable alleles of the wheat domestication gene Q can synchronously increase GY and GPC,but the underlying mechanisms remain largely unknown.In this study,we investigate the regulatory network involving Q associated with GY and GPC in young grains through DNA affinity purification sequencing and transcriptome sequencing analyses,electrophoretic mobility shift and dualluciferase assays,and transgenic approaches.Three Q-binding motifs,namely TTAAGG,AAACA[A/T]A,and GTAC[T/G]A,are identified.Notably,genes related to photosynthesis or carbon and nitrogen metabolism are enriched and regulated by Q.Moreover,Q is revealed to bind directly to its own gene and the glutamine synthetase gene GSr-4D to increase expression,thereby influencing nitrogen assimilation during the grain filling stage and increasing GPC.Considered together,our findings provide molecular evidence of the positive regulatory effects of Q on wheat GY and GPC.
基金supported by the Major Program of National Agricultural Science and Technology of China(NK20220607)the Sichuan Science and Technology Program,China(2023YFH0041)。
文摘Starch biosynthesis is a complex process that relies on the coordinated action of multiple enzymes.Resistant starch is not digested in the small intestine,thus preventing a rapid rise in the glycemic index.Starch synthase 2a(SS2a)is a key enzyme in amylopectin biosynthesis that has significant effects on starch structure and properties.In this study,we identified an ss2a null mutant(M3-1413)with a single base mutation from an ethyl methane sulfonate(EMS)-mutagenized population of barley.The mutation was located at the 3'end of the first intron of the RNA splicing receptor(AG)site,and resulted in abnormal RNA splicing and two abnormal transcripts of ss2a,which caused the inactivation of the SS2a gene.The starch structure and properties were significantly altered in the mutant,with M3-1413 containing lower total starch and higher amylose and resistant starch levels.This study sheds light on the effect of barley ss2a null mutations on starch properties and will help to guide new applications of barley starch in the development of nutritious food products.
基金supported by the National Natural Science Foundation of China(31971883 and 32200180)the Major Program of National Agricultural Science and Technology of China(NK20220607)+2 种基金the Special Projects of the Central Government in Guidance of Local Science and Technology Development,China(2023ZYD0088)the Science and Technology Bureau of Sichuan Province,China(2021YFYZ0002,2022ZDZX0014,2023NSFSC1995,and 2022YFSY0035)the Science and Technology Bureau of Chengdu City,China(2022-YF05-00449-SN).
文摘Fusarium head blight(FHB),mainly caused by Fusarium graminearum,is one of the most destructive fungal diseases affecting global wheat production.Elymus repens(2n=6×=42,StStStStHH),a wild relative of wheat,exhibits numerous biotic and abiotic stress resistance characteristics.In previous studies,FHB resistance of E.repens has been transferred into common wheat through a wheat-E.repens partial amphidiploid and derivative lines.This study reports the development,characterization,and breeding utilization of K140-7,a novel wheat-E.repens translocation line conferring resistance to FHB.Genomic in situ hybridization(GISH)and fluorescence in situ hybridization(FISH)analyses demonstrated that K140-7 contained 40 common wheat chromosomes and two 7D·St translocation chromosomes.Subsequent characterization using oligonucleotide-FISH painting and single-gene FISH markers confirmed that the 7D fragment was a 7D short arm and the St fragment was a 7St long arm.Therefore,K140-7 was further identified as a 7DS·7StL translocation line with genetic compensation.Wheat 55K SNP array analysis of K140-7 demonstrated the 7DS·7StL translocation event.Field evaluations demonstrated that K140-7 exhibits agronomic performance comparable to its wheat parent.Based on St reference genome of Pseudoroegneria libanotica,21 simple sequence repeats(SSR)markers specific to 7StL were developed.Genetic analysis established that 7StL confers FHB resistance and carries the dominant FHB resistance locus,designated as QFhb.Er-7StL.Introgression of QFhb.Er-7StL into elite wheat cultivars has generated three second-generation 7DS·7StL translocation lines with enhanced agronomic traits.This study provides valuable novel germplasms and specific molecular markers for FHB resistance breeding in wheat.
基金the National Natural Science Foundation of China(52278403).
文摘Traditional cement-based slurries are often constrained by excessive cement consumption,prolonged setting times,and limited controllability,which hinder their broader engineering applications.To overcome these challenges,this study focuses on optimizing ordinary cement-based slurry through the incorporation of targeted additives and rational adjustment of mix proportions,with the aim of developing a rapid-setting,early-strength cementitious system.In particular,a series of comparative and orthogonal experiments were conducted to systematically examine the evolution of the slurry's macroscopic properties.In addition,the response surface methodology(RSM)was introduced to reveal the interaction mechanisms among key parameters,thereby establishing a quantitative foundation for the precise regulation of slurry performance.The comparative results demonstrate that silica fume significantly outperforms fly ash in enhancing both the rheological and mechanical behavior of the slurry.Regarding fluidity,the average consistency and slump of the silica fume mixture were reduced by 80 mm and 75 mm,respectively,compared with those containing fly ash,indicating more effective control of flowability.In terms of setting and strength development,the silica fume slurry exhibited a setting time up to 9.6 h shorter and a compressive strength up to 3.6 MPa higher under identical mix conditions.These results confirm the clear superiority of silica fume in promoting rapid solidification and early strength gain.
基金supported by the National Key R&D Program of China(2021YFC2203502 and 2022YFF0711502)the National Natural Science Foundation of China(NSFC)(12173077)+4 种基金the Tianshan Talent Project of Xinjiang Uygur Autonomous Region(2022TSYCCX0095 and 2023TSYCCX0112)the Scientific Instrument Developing Project of the Chinese Academy of Sciences(PTYQ2022YZZD01)China National Astronomical Data Center(NADC)the Operation,Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments,budgeted from the Ministry of Finance of China(MOF)and administrated by the Chinese Academy of SciencesNatural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01A360).
文摘Astronomical spectroscopy is crucial for exploring the physical properties,chemical composition,and kinematic behavior of celestial objects.With continuous advancements in observational technology,astronomical spectroscopy faces the dual challenges of rapidly expanding data volumes and relatively lagging data processing capabilities.In this context,the rise of artificial intelligence technologies offers an innovative solution to address these challenges.This paper analyzes the latest developments in the application of machine learning for astronomical spectral data mining and discusses future research directions in AI-based spectral studies.However,the application of machine learning technologies presents several challenges.The high complexity of models often comes with insufficient interpretability,complicating scientific understanding.Moreover,the large-scale computational demands place higher requirements on hardware resources,leading to a significant increase in computational costs.AI-based astronomical spectroscopy research should advance in the following key directions.First,develop efficient data augmentation techniques to enhance model generalization capabilities.Second,explore more interpretable model designs to ensure the reliability and transparency of scientific conclusions.Third,optimize computational efficiency and reduce the threshold for deep-learning applications through collaborative innovations in algorithms and hardware.Furthermore,promoting the integration of cross-band data processing is essential to achieve seamless integration and comprehensive analysis of multi-source data,providing richer,multidimensional information to uncover the mysteries of the universe.
基金supported by grants from the Health Commission of Weifang(No.WFWSJK-2023-155 to Q.W.)the Natural Science Foundation of Shandong Province(No.ZR2024MH147 to G.D.)the National Natural Science Foundation of China(No.81570945 to G.D.).
文摘Copper is one of the essential trace elements for living beings,influencing several critical processes like cellular energy production,antioxidant defense,communication within cells,and the functioning of enzymes[1].The daily intake of copper is 0.7−3.0 mg/d,and copper homeostasis is strictly regulated by physiological processes,including duodenal and small intestinal uptake,blood transport,liver storage and release,and bile excretion,thereby maintaining copper homeostasis in the body[2],and many studies have confirmed that copper disorders in the body are associated with neurodegenerative,metabolic,and genetic diseases[3].
基金This study was supported equally by the National Key R&D Program of China(2017YFC0505200 to H Sun)the Major Program of the National Natural Science Foundation of China(31590823 to H Sun)+1 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA20050203 to H Sun)USDA National Institute of Food and Agriculture(McIntire Stennis#101869 to DS).
文摘Previous attempts to elucidate the drivers of speciation mechanisms and spatial distribution patterns of biodiversity in mountain regions have treated different floras within a single geological region as one flora,ignoring the potential contributions of high habitat/ecosystem heterogeneity.Furthermore,current conservation strategies largely focus on forest ecosystems and/or specific flagship species,ignoring marginal ecosystems,leaving species in these ecosystems at risk.Here,we compared the spatial patterns of biodiversity and the potential drivers of these patterns in the river valley and subnival ecosystems of the Hengduan Mountains region(HDM)in southwestern China.Specifically,we compared spatial patterns of diversity,endemism,and threatened species in these ecosystems based on both traditional measurements and recent phylogenetic approaches.We then examined how those patterns were related to environmental factors and human activity in these same regions.We found that the middle-southern HDM supports the highest diversity and endemism for the river valley and subnival ecosystems;however,the distribution patterns of neo-and paleo-endemism in these two ecosystems differ.Regression models indicate that habitat diversity and paleo-climatic fluctuation are important drivers of diversity and endemism for these two ecosystems.Temperature and precipitation,however,showed different influences on the spatial patterns in different ecosystems.Categorical analysis of neo-and paleoendemism(CANAPE)indicated that most endemism centers are not covered by current nature reserves.Moreover,the intensity of human activity is highest in the southern and southeastern HDM,which coincides with the distribution patterns of diversity,mixed-endemism and high-priority(and threatened)species.These findings suggest that different floras within a single geographic/floristic region respond differently to environmental factors and show different spatial phylogenetic patterns.We,therefore,recommend that future research into the drivers of biodiversity consider the contributions of various ecosystem types within a single geological region.This study also provides a theoretical basis for protecting habitat diversity.Our work confirms that current conservation efforts are insufficient to protect ecosystem diversity in the river valley and subnival ecosystems of the Hengduan Mountains.Therefore,we recommend the establishment of nature reserves in the regions identified in this study;furthermore,we strongly recommend improving current and establishing new management policies for biodiversity conservation in this region.
基金supported by the Major Program of National Agricultural Science and Technology of China (NK20220607)the National Natural Science Foundation of China (32272059 and31971883)the Science and Technology Department of Sichuan Province (2022ZDZX0014, 2021YFYZ0002, 2021YJ0297, and23NSFTD0045)。
文摘Stripe rust, caused by Puccinia striiformis f. sp. tritici(Pst), threatens wheat production worldwide, and resistant varieties tend to become susceptible after a period of cultivation owing to the variation of pathogen races. In this study, a new resistance gene against Pst race CYR34 was identified and predicted using the descendants of a cross between AS1676, a highly resistant Chinese landrace, and Avocet S, a susceptible cultivar. From a heterozygous plant from a F7recombinant inbred line(RIL) population lacking the Yr18 gene, a near-isogenic line(NIL) population was developed to map the resistance gene. An allstage resistance gene, YrAS1676, was identified on chromosome arm 1AL via bulked-segregant exomecapture sequencing. By analyzing a large NIL population consisting of 6537 plants, the gene was further mapped to the marker interval between KA1A_485.36 and KA1A_490.13, spanning 485.36–490.13 Mb on1AL. A total of 66 annotated genes have been reported in this region. To characterize and predict the candidate gene(s), an RNA-seq was performed using NIL-R and NIL-S seedlings 3 days after CYR34 inoculation. Compared to NIL-S plants, NIL-R plants showed stronger immune reaction and higher expression levels of genes encoding pathogenesis-associated proteins. These differences may help to explain why NIL-R plants were more resistant to Pst race CYR34 than NIL-S plants. By combining fine-mapping and transcriptome sequencing, a calcium-dependent protein kinase gene was finally predicted as the potential candidate gene of YrAS1676. This gene contained a single-nucleotide polymorphism. The candidate gene was more highly expressed in NIL-R than in NIL-S plants. In field experiments with Pst challenge,the YrAS1676 genotype showed mitigation of disease damage and yield loss without adverse effects on tested agronomic traits. These results suggest that YrAS1676 has potential use in wheat stripe rust resistance breeding.
基金financial support from the National Key Research&Development Program of China(2018YFB0604901)the National Natural Science Foundation of China(21706210)the Key Research&Development Program of Shaanxi Province(2020ZDLGY11-06)。
文摘A series of ZnO-ZrO_(2) solid solutions with different Zn contents were synthesized by the urea coprecipitation method,which were coupled with H-ZSM-5 zeolite to form bifunctional catalysts.As a new benzene alkylation reagent,syngas was used instead of methanol to realize the efficient conversion of syngas and benzene into toluene and xylene.A suitable ratio of ZnO-ZrO_(2) led to the significant improvement in the catalytic performance,and a suitable amount of acid helped to increase the selectivity of toluene/xylene and reduce the selectivity of the by-products ethylbenzene and C^(9+) aromatics.The highest benzene conversion of 89.2%and toluene/xylene selectivity of 88.7%were achieved over 10%ZnO-ZrO_(2)&H-ZSM-5(Si/Al=23)at a pressure of 3 MPa and a temperature of 450℃.In addition,the effect of the zeolite framework structure on product distribution was examined.Similar to the molecular dynamics of aromatic hydrocarbons,H-ZSM-5 zeolites comprise 10-membered-ring pores,which are beneficial to the activation of benzene;hence,the conversion of benzene is higher.H-ZSM-35 and HMOR zeolites exhibited small eight-membered-ring channels,which were not conducive to the passage of benzene;hence,the by-product ethylbenzene exhibits a higher selectivity.The distance between the active centers of the bifunctional catalysts was the main factor affecting the catalytic performance,and the powder mixing method was more conducive to the conversion of syngas and benzene.
基金jointly supported by the State Key Program of the National Natural Science of China(Grant No.41130963)the National Natural Science Foundation of China(Grant No.41575071)
文摘The summer Asian-Pacific Oscillation （APO） is a major teleconnection pattern that reflects the zonal thermal contrast between East Asia and the North Pacific in the upper troposphere. The performance of Beijing Climate Center Climate System Models （BCC_CSMs） with different horizontal resolutions, i.e., BCC_CSM1.1 and BCC_CSM1.1 （m）, in reproducing APO interannual variability, APO-related precipitation anomalies, and associated atmospheric circulation anomalies, is evaluated. The results show that BCC_CSMI.I（m） can successfully capture the interannual variability of the summer APO index. It is also more capable in reproducing the APO＇s spatial pattern, compared to BCC_CSMI.1, due to its higher horizontal resolution. Associated with a positive APO index, the northward-shifted and intensified South Asian high, strengthened extratropical westerly jet, and tropical easterly jet in the upper troposphere, as well as the southwesterly monsoonal flow over North Africa and the Indian Ocean in the lower troposphere, are realistically represented by BCC_CSM1.1 （m）, leading to an improvement in reproducing the increased precipitation over tropical North Africa, South Asia, and East Asia, as well as the decreased precipitation over subtropical North Africa, Japan, and North America. In contrast, these features are less consistent with observations when simulated by BCC_CSM1.1. Regression analysis further indicates that surface temperature anomalies over the North Pacific and the southern and western flanks of the Tibetan Plateau are reasonably reproduced by BCC_CSM 1.1 （m）, which contributes to the substantial improvement in the simulation of the characteristics of summer APO compared to that of BCC_CSM1.1.
基金This work is supported by National Key R&D Program of China No.2021YFC2203502 and 2022YFF0711502the National Natural Science Foundation of China(NSFC)(12173077 and 12003062)+5 种基金the Tianshan Innovation Team Plan of Xinjiang Uygur Autonomous Region(2022D14020)the Tianshan Talent Project of Xinjiang Uygur Autonomous Region(2022TSYCCX0095)the Scientific Instrument Developing Project of the Chinese Academy of Sciences,Grant No.PTYQ2022YZZD01China National Astronomical Data Center(NADC)the Operation,Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments,budgeted from the Ministry of Finance of China(MOF)and administrated by the Chinese Academy of Sciences(CAS)Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01A360).
文摘Artificial Intelligence(AI)is an interdisciplinary research field with widespread applications.It aims at developing theoretical,methodological,technological,and applied systems that simulate,enhance,and assist human intelligence.Recently,notable accomplishments of artificial intelligence technology have been achieved in astronomical data processing,establishing this technology as central to numerous astronomical research areas such as radio astronomy,stellar and galactic(Milky Way)studies,exoplanets surveys,cosmology,and solar physics.This article systematically reviews representative applications of artificial intelligence technology to astronomical data processing,with comprehensive description of specific cases:pulsar candidate identification,fast radio burst detection,gravitational wave detection,spectral classification,and radio frequency interference mitigation.Furthermore,it discusses possible future applications to provide perspectives for astronomical research in the artificial intelligence era.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK0502 to H.S.)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA20050203 to H.S.)+3 种基金the Yunnan Applied Basic Research Project(202001AT070060 to J.G.C.)the National Natural Science Foundation of China(31271552 to J.G.C.)the CAS“Light of West China”Program(J.G.C.)the Young Academic and Technical Leader Raising Foundation of Yunnan Province(202205AC160053 to J.G.C.)。
文摘When benefiting other beneficiaries,cushion plants may reciprocally receive feedback effects.The feedback effects on different sex morphs,however,remains unclear.In this study,taking the gynodioecious Arenaria polytrichiodes as a model species,we aimed to assess the sex-specific facilitation intensity of cushion plant by measuring the beneficiary cover ratio,and to assess the potential costs in cushion reproductive functions by measuring the flower and fruit cover ratios.The total beneficiary cover ratio was similar between females and hermaphrodites.Females produced much less flowers but more fruits than hermaphrodites.These results suggested that females and hermaphrodites possess similar facilitation intensity,and female cushion A.polytrichoides may allocate more resources saved from pollen production to seed production,while hermaphrodites possibly allocate more resources to pollen production hence reducing seed production.The surface areas covered by beneficiaries produced less flowers and fruits than areas without beneficiaries.In addition,strong negative correlations between beneficiary cover and flower cover were detected for both females and hermaphrodites,but the correlation strength were similar for these two sex morphs.However,the correlation between beneficiary cover and fruit cover was only significantly negative for females,suggesting that beneficiary plants negatively affect fruit reproduction of females while have neutral effects on hermaphrodites.All the results suggest that to facilitate other beneficiaries can induce reproductive costs on cushion A.polytrichoides,with females possibly suffering greater cost than hermaphrodites.Such differentiation in reproductive costs between sex morphs,in long-term perspective,may imply sex imbalance in population dynamics.
基金supported by National Key R&D Program of China No.2021YFC2203502the National Natural Science Foundation of China (NSFC)(11803080,12173077,11873082,12003062)+2 种基金the Tianshan Innovation Team Plan of Xinjiang Uygur Autonomous Region (2022D14020)the Youth Innovation Promotion Association CASNational Key R&D Program of China No.2018 YFA0404704。
文摘The Xinjiang Astronomical Observatory Data Center faces issues related to delay-affected services. As a result, these services cannot be implemented in a timely manner due to the overloading of transmission links. In this paper, the software-defined network technology is applied to the Xinjiang Astronomical Observatory Data Center Network(XAODCN). Specifically, a novel reconfiguration method is proposed to realise the software-defined Xinjiang Astronomical Observatory Data Center Network(SDXAO-DCN), and a network model is constructed. To overcome the congestion problem, a traffic load-balancing algorithm is designed for fast transmission of the service traffic by combining three factors: network structure, congestion level and transmission service. The proposed algorithm is compared with current commonly load-balancing algorithms which are used in data center to verify its efficiency. Simulation experiments show that the algorithm improved transmission performance and transmission quality for the SDXAO-DCN.
基金financially supported by the Project of Chinese Academy of Engineering(Nos.2019-XZ-11 and 2023-XY-18)the Open Fund of National Joint Engineering Research Center for Abrasion Control and Molding of Metal Materials of China(No.HKDNM201907).
文摘Improving the strength-ductility is crucial to the development of high-performance nickel-based super-alloys fabricated via additive manufacturing(AM).In this study,Sc and Y microalloying is used to regu-late the microstructure and improve the strength-ductility of René104 supealloy(René104ScY).The re-sults suggest the formation of high-density stacking faults(SFs),Lomer-Cottrell locks,and nano-Al_(3)(Sc,Y)phases in the René104ScY matrix.The cellular/columnar structures are refined,the number of equiax-ial grains increases,and the number of columnar grains and their aspect ratio decrease in René104ScY.The synergistic effect of multiple strengthening mechanisms,including that formed by SFs,improves the strength and ductility of René104ScY fabricated via laser powder bed fusion.The yield strength,tensile strength,and elongation of René104ScY are 1059±15 MPa,1405±10 MPa,and 28.8%±0.6%,respec-tively.This study provides a novel approach for developing high-performance nickel-based superalloys using AM.
基金Supported by Supported by the″Jie Bang Gua Shuai″Science and Technology Project of the Henan Province (211110110500)the Scientific and Technological Project in Henan Province,China (No. 222102210030)。
文摘Background The lack of social activities among the elderly due to physical limitations can result in loneliness and depression. The spread of COVID-19 has made it difficult for the elderly to conduct stable social activities, increasing feelings of loneliness. The metaverse is a virtual world that mirrors reality. This allows the elderly to overcome the constraints of reality and perform social activities stably and continuously, providing new ideas for alleviating loneliness. Methods By analyzing their needs, a virtual social center framework for the elderly was proposed in this study. In addition, a prototype system was designed according to this framework. The elderly can socialize in virtual reality with metaverse-related technologies and human–computer interaction tools. Additionally, a test was conducted jointly with the chief physician of the geriatric rehabilitation department of a tertiary hospital. Results The results demonstrated that the mental state of the elderly who had used the virtual social center was significantly better than that of those who had not used it. Conclusions Thus, virtual social centers can help relieve loneliness and depression among the elderly with increasing global epidemics and an aging society. Hence,they have promotional value.
基金sponsored by Chinese National Science and Technology Major Project (No. 2011ZX02702-003)
文摘Microstructure and texture of electrodeposited Cu micro-cylinders in the blind hole play a vitally im- portant role in the electrical and mechanical properties of the three-dimensional （3-D） IC （integrated circuit）/Si integrations. In this paper, a new commercial additive system, which is specifically devel- oped for the high-aspect-ratio through-silicon-via （TSV） filling, was used to electrodeposit Cu in the blind holes. The microstructure of electrodeposited Cu micro-cylinder in the blind hole with a diameter of 40 μm and a depth of 140 μm was investigated by electron back-scattered diffraction （EBSD） technique. Grain size distribution of the Cu micro-cylinder in the blind hole differed from the bottom to the top. The grain boundaries contained a high fraction of Z3 CSL （coincident site lattice） boundaries. It has been reported that the Cu overburden film on the surface of the blind hole influenced the crystallographic orientation of Cu grains inside the damascene trench. So the effects of the current density and additive concentra- tion on the crystal structure of the overburden Cu film were also studied in this study. The experimental results indicated that the preferred orientation of the Cu overburden film changed from {111} to {220} when the current density increased from 2 to 80 mA cm-2. However, the effect of additives on the crystal structure of the Cu overburden film was dependent on the crystal structure of the seed layer.
基金supported by the China Electronics Technology Innovation Fund Project(Project No.KJ2202008).
文摘This paper designs a space electromagnetic interference signal test and analysis technology verification platform.The article firstly introduces the general scheme of the technical verification platform and then describes each component unit of the hardware and the overall structure of the software in detail.The platform can achieve a 10 MHz~50 GHz working frequency band,1.2 GHz acquisition and real-time recording bandwidth,6 GB/s recording rate,and 12 TB recording capacity.
